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533 个产品

Vercel Drop

Vercel Drop

拖进去,即刻上线。

生产力开发者工具
2026年6月13日
Prometheus by Firecrawl

Prometheus by Firecrawl

一个用于网页数据采集的前置部署 Agent

开发者工具人工智能
2026年6月13日
GameBrain API

GameBrain API

涵盖 775,000+ 款游戏的电子游戏数据库 API

API开发者工具游戏
2026年6月13日
Firma.dev

Firma.dev

电子签名 API,每个信封平均仅需约 3 美分

API开发者工具
2026年6月12日
Qursor

Qursor

指向任意 UI 元素,将精确上下文发送给 AI

生产力开发者工具人工智能
2026年6月12日
Bob's CLI

Bob's CLI

本地优先的 AI 编程命令行工具,自动适应个人工作风格

开发者工具人工智能GitHub
2026年6月12日
ShellMate

ShellMate

在一个平台集中管理 SSH 服务器、凭证与团队协作

生产力隐私开发者工具
2026年6月12日
Respan Gateway

Respan Gateway

一站式 AI 网关,内置可观测性与评估能力

开发者工具人工智能科技
2026年6月11日
Terminal Mode by Even Realities

Terminal Mode by Even Realities

让编程 Agent 始终在视野之内

生产力开发者工具Vibe Coding
2026年6月11日
Tabstack Structured Extraction

Tabstack Structured Extraction

将网页数据提取为结构化 JSON,无需编写爬虫

API开发者工具
2026年6月11日
Nodey

Nodey

n8n 移动指挥中心,尽在掌中

生产力开发者工具人工智能
2026年6月11日
Publora

Publora

为 agent 时代打造的内容发布 API

API社交媒体开发者工具
2026年6月10日
Spotlight by Backplanes

Spotlight by Backplanes

为 Claude Code 和 Codex 生成会话报告,持续改进代码质量

开发者工具人工智能安全
2026年6月10日
Axol

Axol

用强大的机器人自动化物理工作

机器人开发者工具人工智能
2026年6月10日
ZeroGPU

ZeroGPU

面向 AI 推理的高效算力层

API开发者工具人工智能
2026年6月9日
Krisp Voice Translation API

Krisp Voice Translation API

实时语音到语音翻译 API

API开发者工具音频
2026年6月9日
 agmsg

agmsg

让 AI 编程 agent 之间直接对话,告别复制粘贴

开源开发者工具人工智能
2026年6月9日
BooBar

BooBar

Mac 上的 AI 灵动岛

任务管理开发者工具菜单栏应用
2026年6月9日
Browse.sh

Browse.sh

为 agent 赋予网页自动化的肌肉记忆

API开发者工具人工智能
2026年6月8日
Smmall Cloud for iOS

Smmall Cloud for iOS

在 iPad 或 iPhone 上轻松分享文件

设计工具生产力开发者工具
2026年6月7日
Wekraft

Wekraft

项目托管在 GitHub,工作空间也应如此

生产力开发者工具GitHub
2026年6月7日
Manus Shopify Connector

Manus Shopify Connector

通过一个对话构建和管理 Shopify 店铺

用户体验开发者工具电子商务
2026年6月6日
Fox Issue Tracker 4

Fox Issue Tracker 4

追踪、规划、发布

生产力任务管理开发者工具
2026年6月6日
Landing Page Roast

Landing Page Roast

获取可落地的反馈、设计批评与转化优化建议

设计工具用户体验开发者工具
2026年6月6日
Nemotron 3 Ultra by NVIDIA

Nemotron 3 Ultra by NVIDIA

为长时运行的 agent 提供更快、更高效的推理能力

开发者工具人工智能
2026年6月5日
Astra Autonomous Pentest

Astra Autonomous Pentest

AI agent 自动发现、验证并修复每一个安全漏洞

SaaS开发者工具安全
2026年6月4日
Empromptu AI

Empromptu AI

利用已在构建的 AI 应用训练专属微调模型

开发者工具人工智能无代码
2026年6月4日
Google Gemma 4 12B

Google Gemma 4 12B

无编码器架构,本地运行多模态 AI

开源开发者工具GitHub
2026年6月4日
Build Club Campus

Build Club Campus

虚拟 AI 学校:快速提升 AI 技能,成为 AI 高手

教育开发者工具人工智能
2026年6月4日
AppWizzy

AppWizzy

租用预装 Codex 的私有虚拟机,构建生产级应用

软件工程开发者工具人工智能
2026年6月4日
Keen Code

Keen Code

由 agent 构建的上下文高效 CLI 编程 agent

开源开发者工具人工智能
2026年6月4日
InsForge Backend Branching

InsForge Backend Branching

Git 风格的后端分支管理

开源开发者工具GitHub
2026年6月3日
superlog

superlog

让产品远离 Bug

开源软件工程开发者工具
2026年6月3日
Replicas

Replicas

在云端运行 Claude Code 和 Codex

软件工程开发者工具人工智能
2026年6月3日
Spectron

Spectron

值得信赖的 agent 记忆层

开发者工具人工智能数据库
2026年6月3日
Hermes Desktop

Hermes Desktop

与用户共同成长的 agent

开源开发者工具人工智能
2026年6月3日
Uselink

Uselink

托管 HTML,分享链接,收集评论

生产力开发者工具人工智能
2026年6月3日
Brief

Brief

引导 agent 实现产品市场契合

开发者工具人工智能创客工具
2026年6月2日
Dune Keypad

Dune Keypad

支持 Claude 和社区扩展的 Mac 上下文感知快捷键盘

生产力开发者工具人工智能
2026年6月1日
Tabstack Web Research

Tabstack Web Research

通过单次 API 调用运行研究 agent,获取带引用来源的答案

API开发者工具人工智能
2026年6月1日
Open Caffeine

Open Caffeine

让 Mac 保持唤醒状态

开源开发者工具GitHub
2026年6月1日
Second Brain for AI

Second Brain for AI

为 Claude、ChatGPT 和 Cursor 提供持久记忆层,免费使用

开源开发者工具人工智能
2026年5月31日
Marqly 5.0

Marqly 5.0

AI 驱动的智能书签管理器

生产力SaaS开发者工具
2026年5月31日
Exstats

Exstats

一站式追踪浏览器扩展与竞争对手动态

浏览器扩展分析开发者工具
2026年5月30日
Openstatus MCP Health Checker

Openstatus MCP Health Checker

像真实 AI 客户端一样测试 MCP 服务器,而非仅仅 Ping

开源开发者工具人工智能
2026年5月30日
Sleek Analytics

Sleek Analytics

面向现代网站的隐私优先型 Google Analytics 替代方案

分析营销开发者工具
2026年5月30日
/monitor by Firecrawl

/monitor by Firecrawl

当网页发生变化时,即时通知 AI agent

开发者工具人工智能
2026年5月29日
MCP Bridge by Appfactor

MCP Bridge by Appfactor

将任意 API 连接到任意 AI agent

API开发者工具人工智能
2026年5月29日
Integuru

Integuru

为任何平台生成快速、可靠的 API,无需浏览器

API开发者工具人工智能
2026年5月29日
Screen Ruler

Screen Ruler

设计师和开发者的必备标尺工具

Chrome 扩展设计工具开发者工具
2026年5月29日
Revolte

Revolte

面向软件工程的 AI 平台

软件工程开发者工具人工智能
2026年5月28日
Memori

Memori

从 agent 执行轨迹中构建持久记忆,而非仅依赖对话

开源开发者工具人工智能
2026年5月28日
Powabase

Powabase

基于 Postgres、RAG 和 agent 构建 AI 应用

开发者工具人工智能数据库
2026年5月27日
Calling Skills for AI Agents

Calling Skills for AI Agents

通过 AI 编码 agent 集成语音和视频通话功能

开发者工具人工智能GitHub
2026年5月27日
Parsewise API

Parsewise API

用于 agent 多文档处理的 API

API开发者工具人工智能
2026年5月26日
LLMTest

LLMTest

在应用中使用最合适的 LLM,自动设置回退方案,省心省力

API开发者工具人工智能
2026年5月25日
ModelHub

ModelHub

Mac 上本地 LLM 缺失的菜单栏管理工具

开源开发者工具GitHub
2026年5月24日
Edgee Fallback Models

Edgee Fallback Models

永不停歇的 Claude Code

生产力软件工程开发者工具
2026年5月24日
Google Antigravity CLI

Google Antigravity CLI

直接在终端中运行编程 agent

开发者工具人工智能科技
2026年5月23日
Vibedock

Vibedock

从菜单栏一键切换 Claude Code 的 MCP 服务器

Mac开发者工具人工智能
2026年5月23日
TestSprite 3.0

TestSprite 3.0

并行 agent 舰队,几分钟内完成应用测试

开发者工具人工智能
2026年5月22日
SuprSend AI

SuprSend AI

基于 AI 的多渠道通知平台

SaaS开发者工具人工智能
2026年5月22日
Mintlify Workflows

Mintlify Workflows

自动更新的知识库

笔记开发者工具人工智能
2026年5月21日
Google Antigravity 2.0

Google Antigravity 2.0

从桌面应用编排多 agent 工作流

任务管理开发者工具人工智能
2026年5月21日
Slideshot

Slideshot

由 AI agent 自动录制产品演示视频

生产力开发者工具营销自动化
2026年5月21日
Emdash

Emdash

一个应用,集成所有编码 agent,开源。

生产力开源开发者工具
2026年5月20日
Runtime

Runtime

面向团队全员的沙盒化编码 Agent

Slack开发者工具人工智能
2026年5月20日
Re_gent

Re_gent

AI agent 活动的版本控制系统

开源开发者工具GitHub
2026年5月20日
Supercut for Agents

Supercut for Agents

面向 AI 代理的权限感知型录制内容访问

生产力开发者工具
2026年5月20日
Viberia

Viberia

像玩《文明》游戏一样指挥 AI agent

生产力开发者工具人工智能
2026年5月20日
Drizz

Drizz

自编写、自运行、自修复的移动端测试

开发者工具人工智能无代码
2026年5月19日
CtrlOps

CtrlOps

借助 AI 部署、调试和管理 Linux 服务器

Linux开发者工具人工智能
2026年5月19日
Voker

Voker

面向 AI 产品团队的 Agent 分析平台

分析开发者工具人工智能
2026年5月19日
ReactVision Studio

ReactVision Studio

在 React Native 中构建 AR/VR 应用,并直接部署到设备

虚拟现实开发者工具增强现实
2026年5月18日
M1 by Montage

M1 by Montage

按需扩展的 Agentic UI 平台

用户体验开发者工具人工智能
2026年5月18日
Polarity

Polarity

面向 Agent 的自我优化平台

开发者工具人工智能科技
2026年5月18日
Files SDK

Files SDK

统一对象存储与 Blob 后端的 SDK

开源开发者工具GitHub
2026年5月17日
CodeBreak

CodeBreak

Claude Code 伴侣:完成、卡住、出错,一目了然

生产力开发者工具人工智能
2026年5月17日
Screenshot Beautifier Pro

Screenshot Beautifier Pro

让截图更专业精美

Chrome 扩展设计工具生产力
2026年5月17日
Agentmemory

Agentmemory

为 Claude Code、Codex 及编码 agent 提供持久化记忆

开源开发者工具人工智能
2026年5月16日
Gemini 3.1 Flash-Lite

Gemini 3.1 Flash-Lite

面向高吞吐量 AI 管道的轻量级 Gemini 模型

API开发者工具人工智能
2026年5月16日
Wring

Wring

开发者工具,一键触达。

生产力开发者工具菜单栏应用
2026年5月16日
mia

mia

产品经理的 Cursor

生产力开发者工具人工智能
2026年5月15日
Standboy

Standboy

一款在 agent 工作时唤醒的 Game Boy

开源开发者工具人工智能
2026年5月15日
Raindrop Workshop

Raindrop Workshop

开源、免费、本地化的AI Agent调试器

开源开发者工具人工智能
2026年5月14日
Resend Automations

Resend Automations

构建事件驱动的邮件流程

API开发者工具
2026年5月14日
Asteroid

Asteroid

数秒内构建浏览器、Linux 和 Windows 的 AI agent

开发者工具人工智能无代码
2026年5月14日
Theneo

Theneo

为人类和 agent 打造的 API 管理平台

API开发者工具Pitch Dubai
2026年5月14日
Latitude for Claude Code

Latitude for Claude Code

洞察 Claude Code 的令牌消耗,减少使用限制触达

开发者工具
2026年5月13日
Apideck MCP Server

Apideck MCP Server

赋予 AI agent 跨 200+ 应用的实时数据访问能力

API开源开发者工具
2026年5月13日
Claudy

Claudy

为 Claude Code 打造的理想家园——多会话、多账户管理

生产力开发者工具氛围编程
2026年5月13日
Kelviq

Kelviq

面向 SaaS 和 AI 公司的支付、税务与计费一体化平台

支付SaaS开发者工具
2026年5月12日
Hyperswitch Prism

Hyperswitch Prism

即插即用的支付处理器切换库

开源金融科技开发者工具
2026年5月12日
display.dev

display.dev

将 Agent 生成的 HTML 发布到公司认证体系下

SaaS开发者工具人工智能
2026年5月12日
Free AI SEO Auditor

Free AI SEO Auditor

为 AI 搜索时代审计网站,100% 开源

SEO开发者工具技术
2026年5月12日
Graphbit PRFlow

Graphbit PRFlow

AI 代码审查,捕捉他人遗漏的隐患

生产力开发者工具GitHub
2026年5月11日
Warp Open-Source

Warp Open-Source

与社区共建的 Agent 开发环境

开源开发者工具人工智能
2026年5月11日
MiroMiro v2

MiroMiro v2

检查、编辑和导出任意网站的设计

Chrome 扩展设计工具生产力
2026年5月11日
ClawSecure

ClawSecure

AI Agent 的 AI 驱动杀毒软件

开发者工具人工智能新加坡路演
2026年5月11日
Tailgrids 3.0

Tailgrids 3.0

面向 Tailwind 和 AI 工作流的开源 React UI 组件库

设计工具开源开发者工具
2026年5月10日
deepsec

deepsec

开源代码安全防护框架

开源开发者工具GitHub
2026年5月10日
AgentPeek

AgentPeek

在Mac刘海屏上查看Claude Code和Codex

开发者工具人工智能菜单栏应用
2026年5月10日
BugDrop

BugDrop

应用内反馈,一键创建带截图的 GitHub Issue

开源用户体验开发者工具
2026年5月9日
Monid 2.0

Monid 2.0

Agent 工具的 OpenRouter

开发者工具人工智能YC 申请
2026年5月8日
Fabraix

Fabraix

在用户发现之前找到 AI agent 的漏洞

开发者工具人工智能YC 申请
2026年5月8日
Ara

Ara

驻留在刘海里的 Agentic Wispr 流式计算机使用 Agent

开源开发者工具计算机
2026年5月8日
Contral

Contral

在编程过程中提供教学指导的 Agent

教育开发者工具YC 申请
2026年5月8日
Lingo.dev v1

Lingo.dev v1

实现一致性翻译的本地化工程平台

API开发者工具人工智能
2026年5月7日
ExploreYC

ExploreYC

Y Combinator 创业生态的数据层

开发者工具人工智能数据与分析
2026年5月7日
Lovie Formation - Incorporation MCP

Lovie Formation - Incorporation MCP

轻松完成公司注册

SaaS开发者工具人工智能
2026年5月7日
Superset 2.0

Superset 2.0

在任意机器上从任何地方运行数百个编码 agent

文本编辑器开发者工具人工智能
2026年5月6日
pay.sh

pay.sh

自主发现、访问并支付任意 API 调用

API开源开发者工具
2026年5月6日
Custom Integrations by Databox

Custom Integrations by Databox

无需编写代码,将缺失数据导入 Databox

分析SaaS开发者工具
2026年5月6日
WOZCODE

WOZCODE

将 Claude Code 的成本降低高达 50%

生产力开发者工具人工智能
2026年5月6日
Kilo Code v7 for VS Code

Kilo Code v7 for VS Code

并行 agent、差异审查与多模型对比

开源软件工程开发者工具
2026年5月5日
Flowstep 1.0

Flowstep 1.0

AI 设计工程师,将想法转化为可编辑的 UI

开发者工具人工智能Vibe coding
2026年5月5日
Intuned Agent

Intuned Agent

由 AI 构建和维护的生产级浏览器自动化

生产力开发者工具人工智能
2026年5月5日
Claude Code & Codex Usage Trading Cards by Rudel

Claude Code & Codex Usage Trading Cards by Rudel

根据 Claude Code 和 Codex 使用数据生成专属交易卡牌

开源开发者工具人工智能
2026年5月4日
Radar

Radar

Kubernetes 缺失已久的开源管理界面

开源开发者工具人工智能
2026年5月3日
Huddle01 VMs

Huddle01 VMs

为 Agent 打造的虚拟机

开发者工具人工智能开发
2026年5月3日
PandaProbe

PandaProbe

开源 agent 工程平台

开源开发者工具人工智能
2026年5月3日
Rosentic

Rosentic

在合并前捕获编码 agent 之间的相互冲突

开源开发者工具人工智能
2026年5月3日
TinyLottie

TinyLottie

智能 Lottie 优化,为高性能 SaaS 而生

设计工具SaaS开发者工具
2026年5月3日
Cloud Computer by Manus

Cloud Computer by Manus

专为机器人和软件设计的专属云端机器

生产力开发者工具人工智能
2026年5月2日
Zed 1.0

Zed 1.0

高性能、开源、多人协作代码编辑器

开源文本编辑器开发者工具
2026年5月1日
Montage

Montage

面向 agent 用户界面的运行时框架

用户体验开发者工具人工智能
2026年5月1日
Ghosted: Smart Presence

Ghosted: Smart Presence

离开时自动暂停媒体或锁定屏幕

生产力开发者工具菜单栏应用
2026年5月1日
Beauty Diagram

Beauty Diagram

让图表不再像自动生成的一样丑

生产力开发者工具数据可视化
2026年5月1日
Wonder

Wonder

直接在画布上工作的 AI 设计 agent

设计工具开发者工具设计
2026年4月30日
Gemini Deep Research Agent

Gemini Deep Research Agent

网页与MCP研究agent,现已集成至Gemini API

API开发者工具人工智能
2026年4月30日
Tabstack

Tabstack

提取网页数据并自动化浏览器操作,无需构建爬虫

API开发者工具人工智能
2026年4月30日
Quarkdown

Quarkdown

结合 LaTeX 的现代化 Markdown 排版系统

开源写作开发者工具
2026年4月30日
Plurai

Plurai

根据使用场景定制的 AI 评估与防护栏训练平台

API开发者工具人工智能
2026年4月29日
Open Wearables

Open Wearables

可穿戴健康产品的开放基础设施

开源可穿戴设备开发者工具
2026年4月29日
Netlify Database

Netlify Database

无缝交付数据驱动应用,不打断开发流程

开发者工具人工智能数据库
2026年4月29日
CodeHealth MCP Server by CodeScene

CodeHealth MCP Server by CodeScene

保持 AI 生成代码的健康与可维护性

开发者工具人工智能氛围编程
2026年4月29日
Dreambase Data Agent Skills

Dreambase Data Agent Skills

为运行在 Supabase 上的数据 agent 提供分析技能

数据分析开发者工具商业智能
2026年4月29日
Actian VectorAI DB

Actian VectorAI DB

超越云端的便携式向量数据库,专为 AI agent 打造

开发者工具人工智能数据库
2026年4月28日
WUPHF by Nex.ai

WUPHF by Nex.ai

能自主构建知识库的 AI 员工

开源开发者工具人工智能
2026年4月28日
SimCam

SimCam

直接在 iOS 模拟器中测试相机功能

iOS开发者工具人工智能
2026年4月28日
 Jet AI Agents

Jet AI Agents

几分钟内构建业务 AI agent

开发者工具人工智能无代码
2026年4月27日
Logic

Logic

构建和运营 agent 集群

生产力开发者工具人工智能
2026年4月27日
GitBar

GitBar

所有 Pull Request,尽在菜单栏。支持 GitHub、GitLab 和 Azure

生产力开发者工具菜单栏应用
2026年4月27日
GPT-5.5 by OpenAI

GPT-5.5 by OpenAI

OpenAI 迄今最智能、最直观的模型

API开发者工具人工智能
2026年4月26日
QuickCompare by Trismik

QuickCompare by Trismik

在真实数据上对比 LLM,评估表现并选出最佳模型。

开发者工具人工智能数据科学
2026年4月26日
Edgee Team

Edgee Team

编程助手的 Strava 数据看板

生产力开发者工具人工智能
2026年4月26日
Free chart generator by Embedful

Free chart generator by Embedful

将 CSV 和 Excel 文件秒变图表

开发者工具数据与分析数据可视化
2026年4月26日
Clawdi

Clawdi

所有 AI agent 的理想主场

Chrome 扩展开发者工具人工智能
2026年4月25日
Beezi AI

Beezi AI

让 AI 开发更结构化、更安全、更具成本效益

生产力SaaS开发者工具
2026年4月24日
Codex 3.0 by OpenAI

Codex 3.0 by OpenAI

Codex 现在已能自动完成构建、测试与调试

开发者工具人工智能开发
2026年4月24日
BAND

BAND

在单一会话中协调并治理多 agent 协作

软件工程开发者工具人工智能
2026年4月24日
Google Workspace Intelligence

Google Workspace Intelligence

深度理解并赋能 Workspace 的 AI

开发者工具人工智能科技
2026年4月24日
Claude Code /ultrareview

Claude Code /ultrareview

通过并行 agent 舰队实现云端代码审查

软件工程开发者工具人工智能
2026年4月23日
InstantDB

InstantDB

一条提示词即可获得包含认证和存储的完整后端

开源开发者工具数据库
2026年4月22日
Zernio Ads API

Zernio Ads API

通过一个 API 在 6 大平台上创建、管理和报告广告

API广告开发者工具
2026年4月22日
Cai

Cai

按下 ⌥C 即可对任何内容执行智能操作,完全本地运行

生产力开发者工具人工智能
2026年4月22日
Tines Story copilot

Tines Story copilot

通过对话式 AI 界面构建智能工作流

开发者工具人工智能创客工具
2026年4月22日
Twenty 2.0

Twenty 2.0

通过 AI 友好的 SDK 构建企业级 CRM

开发者工具CRMSDK
2026年4月21日
LiveDemo

LiveDemo

开源交互式产品演示工具

销售SaaS开发者工具
2026年4月21日
Chronicle

Chronicle

基于近期屏幕上下文构建 Codex 记忆。

生产力开发者工具人工智能
2026年4月21日
Cosine Swarm

Cosine Swarm

并行 AI agent,专为长周期复杂软件任务而生

开发者工具人工智能氛围编程
2026年4月21日
The New Waydev

The New Waydev

度量完整的AI软件开发生命周期,从Token到生产环境

生产力开发者工具人工智能
2026年4月20日
Pegasus 1.5 by TwelveLabs

Pegasus 1.5 by TwelveLabs

将视频转化为基于时间戳的元数据的AI模型

开发者工具人工智能视频
2026年4月20日
Fixa.dev

Fixa.dev

云原生 AI agent,几乎可以构建任何软件

开发者工具人工智能氛围编程
2026年4月19日
Vercel Flags

Vercel Flags

功能开关、定向规则、渐进发布,全部集成在 Vercel 平台

软件工程开发者工具
2026年4月18日
Claude Code Rendering

Claude Code Rendering

为 Claude Code 提供鼠标支持和无闪烁渲染

用户体验开发者工具人工智能
2026年4月18日
Visual PR Testing with AI

Visual PR Testing with AI

AI 自动验证每个 PR,运行测试并反馈结果

开发者工具人工智能Vercel Day
2026年4月17日
Resend CLI 2.0

Resend CLI 2.0

为人类、AI agent 和 CI/CD 流水线而构建

邮件开发者工具GitHub
2026年4月16日
stagewise

stagewise

在独立浏览器环境中运行的编程 agent

开源开发者工具GitHub
2026年4月16日
Claude Code Routines

Claude Code Routines

为 Claude Code 任务设置智能自动化例程,实现全自动运行

生产力API开发者工具
2026年4月15日
Intent

Intent

描述一个功能,AI agent 就会完成构建、验证并交付上线

生产力开发者工具人工智能
2026年4月15日
CC-BEEPER

CC-BEEPER

专为 Claude Code 打造的 macOS 悬浮寻呼机

开源开发者工具人工智能
2026年4月15日
Figma for Agents

Figma for Agents

借助 AI agent 进行设计,与设计系统无缝连接

设计工具开发者工具人工智能
2026年4月14日
Ovren

Ovren

AI 工程部门,专攻积压任务交付

生产力开发者工具人工智能
2026年4月14日
Caveman

Caveman

何必用那么多 token?少说废话,直击要害

开源开发者工具人工智能
2026年4月14日
Open Agents

Open Agents

能真正交付代码的 agent

开源开发者工具人工智能
2026年4月14日
ContextPool

ContextPool

为AI编程助手提供持久化记忆

开源开发者工具人工智能
2026年4月13日
Deconflict

Deconflict

规划WiFi网络,透视墙体信号

设计工具开源开发者工具
2026年4月13日
SigmaMind MCP

SigmaMind MCP

通过 MCP 构建和控制语音 AI agent

API开发者工具人工智能
2026年4月13日
Music Marketplace by Eleven Labs

Music Marketplace by Eleven Labs

创作曲目,发布上线,使用即获收益

设计工具音乐开发者工具
2026年4月12日
Ray

Ray

终端里的个人首席财务官

开源开发者工具GitHub
2026年4月12日
Edgee Codex Compressor

Edgee Codex Compressor

以降低35.6%的成本使用Codex

软件工程开发者工具
2026年4月12日
Nicelydone MCP

Nicelydone MCP

为 AI Agent 提供设计上下文

开发者工具
2026年4月12日
Claude Code ultraplan

Claude Code ultraplan

Claude Code 命令,在云端规划代码库

生产力开发者工具人工智能
2026年4月11日
LaReview

LaReview

开源免费的新一代代码审查工具

生产力开源开发者工具
2026年4月11日
Tech Marketing Framework

Tech Marketing Framework

可复制的市场进入系统,专为不擅长营销的构建者设计

开源营销开发者工具
2026年4月11日
SoulLink

SoulLink

移动端 3D 氛围编程伙伴

Android开发者工具人工智能
2026年4月10日
Knock data sources

Knock data sources

基于 Stripe、Clerk、Supabase 事件触发消息推送

客户沟通营销开发者工具
2026年4月10日
Grass

Grass

为编程 agent 提供一台 24/7 随时待命的专属虚拟机

开发者工具人工智能Alpha
2026年4月9日
Smuggl

Smuggl

将本地开发环境分享为仅限邀请的链接

开发者工具Alpha
2026年4月9日
Browser Arena

Browser Arena

面向云浏览器基础设施的开源基准测试

开源开发者工具人工智能
2026年4月8日
Ultramock

Ultramock

在浏览器中创建电影级 UI 模型图

设计工具营销开发者工具
2026年4月7日
AgentPulse by Rectify

AgentPulse by Rectify

OpenClaw终端的所有操作,现在都能可视化完成

SaaS开发者工具人工智能
2026年4月6日
Ogoron

Ogoron

最佳 QA 团队——效率提升 9 倍,成本降低 20 倍

软件工程开发者工具人工智能
2026年4月6日
Handle Extension

Handle Extension

在浏览器中精修UI,将变更反馈给编码助手

Chrome 扩展开源开发者工具
2026年4月5日
Guardian IDE

Guardian IDE

在 AI 生成代码发布前,实施有效管控

开发者工具人工智能安全
2026年4月5日
Sleek Analytics

Sleek Analytics

实时查看网站访客动态

数据分析营销开发者工具
2026年4月4日
Google Gemma 4

Google Gemma 4

谷歌迄今为止最智能的开源模型系列

开源开发者工具人工智能
2026年4月3日
Cursor 3

Cursor 3

并行本地/云端 agent 与 MCP 的统一工作空间

开发者工具
2026年4月3日
Straude

Straude

Claude Code 的 Strava / 全球 Token 消耗排行榜

生产力开发者工具氛围编程
2026年4月3日
Otto by Audos.com

Otto by Audos.com

AI 联合创始人,自动构建、发布并销售产品

开发者工具人工智能GitHub
2026年4月3日
Denovo

Denovo

在睡眠中构建并运营业务

生产力开发者工具人工智能
2026年4月2日
Claude Code Voice Mode

Claude Code Voice Mode

向 Claude Code 说出你的提示

生产力开发者工具人工智能
2026年4月2日
Cosyra

Cosyra

在手机上运行 AI 编程助手

生产力开发者工具人工智能
2026年4月2日
Mngr

Mngr

并行运行数百个 Claude agent

开源开发者工具人工智能
2026年4月2日
traceAI

traceAI

面向 GenAI 的开源 LLM 追踪工具,而非 HTTP 监控

开源开发者工具人工智能
2026年4月1日
ClawMetry for NVIDIA NemoClaw

ClawMetry for NVIDIA NemoClaw

洞察 NVIDIA NemoClaw 沙盒内部运行状态

开源开发者工具人工智能
2026年4月1日
Remodex

Remodex

在 iPhone 上远程操控 Codex

iOS开源开发者工具
2026年4月1日
OpenBox

OpenBox

可视化、验证并治理每一个智能体操作

开发者工具人工智能安全
2026年4月1日
Perplexity API Platform

Perplexity API Platform

为产品注入全网研究与问答能力

APISaaS开发者工具
2026年3月31日
Metabase Data Studio

Metabase Data Studio

构建语义层,让 AI 分析变得可信

开源开发者工具数据与分析
2026年3月31日
Invoke

Invoke

具备可视化规划面板与画布的智能体编码 IDE

开发者工具人工智能开发
2026年3月30日
Ollang DX

Ollang DX

面向企业的AI语言执行层

API开发者工具人工智能
2026年3月30日
Parallel Code

Parallel Code

并行使用 Claude Code、Codex 和 Gemini

开源开发者工具GitHub
2026年3月29日
Pensieve

Pensieve

为每个 AI Agent 提供完整的公司上下文

开发者工具人工智能商业智能
2026年3月29日
CrabTalk

CrabTalk

毫无保留的 agent 守护进程。8MB。开源

开发者工具人工智能GitHub
2026年3月28日
RepoLens

RepoLens

洞察代码库的变更与关键影响

生产力开发者工具人工智能
2026年3月28日
Expect

Expect

在真实浏览器中实现 agent 自动化测试

设计工具开发者工具人工智能
2026年3月28日
Agentation

Agentation

面向AI Agent的可视化反馈工具

生产力开发者工具人工智能
2026年3月27日
Claude Code auto-fix

Claude Code auto-fix

云端自动修复 PR,全程无需手动干预

开发者工具人工智能开发
2026年3月27日
Codex Plugins

Codex Plugins

将 Codex 技能与应用集成打包为插件

开发者工具人工智能开发
2026年3月27日
Voxtral TTS by Mistral AI

Voxtral TTS by Mistral AI

具备真实感与表现力的多语言文本转语音模型

开发者工具人工智能音频
2026年3月27日
Jentic Mini

Jentic Mini

为 AI Agent 提供安全访问 10,000+ API 的能力

开源开发者工具人工智能
2026年3月26日
PinchBench

PinchBench

为你的 OpenClaw 寻找最佳 AI 模型

开源开发者工具GitHub
2026年3月26日
Auto Mode by Claude Code

Auto Mode by Claude Code

由 Claude 代为处理权限决策

生产力开发者工具人工智能
2026年3月25日
Flowershow

Flowershow

将 Markdown 瞬间发布为精美网站

写作笔记开发者工具
2026年3月25日
Toone

Toone

运行工作的 AI 团队

SaaS开发者工具人工智能
2026年3月25日
Cekura

Cekura

观察与分析语音及会话 AI agent

SaaS开发者工具音频
2026年3月24日
Drift

Drift

AI 智能体,更快更可靠地运行机器人仿真

机器人开发者工具人工智能
2026年3月24日
Maestri

Maestri

一个无限画布,让编程智能体协同工作

Mac开发者工具人工智能
2026年3月24日
Tobira.ai

Tobira.ai

AI agent 网络,为人类寻找商业机遇

生产力开发者工具人工智能
2026年3月23日
Claude Usage Tracker

Claude Usage Tracker

清晰追踪跨工具使用 Claude 的总开销

开源开发者工具GitHub
2026年3月23日
Bench for Claude Code

Bench for Claude Code

存储、审查与分享 Claude Code 会话

开发者工具人工智能数据可视化
2026年3月22日
Silicon Friendly

Silicon Friendly

网站对硅基访客有多友好?(从 L0 到 L5 分级)

API开发者工具人工智能
2026年3月22日
Edgee Claude Code Compression

Edgee Claude Code Compression

将 Claude Pro 的使用上限提升 26.2%

软件工程开发者工具
2026年3月22日
Vite+

Vite+

面向 Web 的统一工具链

开源开发者工具GitHub
2026年3月21日
Fractal

Fractal

打造卓越 ChatGPT 应用的最快方式

生产力开发者工具人工智能
2026年3月21日
Cursor Glass

Cursor Glass

统一 agent 工作空间,具备无缝云端切换能力

开发者工具人工智能开发
2026年3月21日
Contral

Contral

边构建边教学的智能体集成开发环境

教育开发者工具人工智能
2026年3月21日
Replit Agent 4

Replit Agent 4

在一个流程中快速构建、设计并交付任何AI项目

开发者工具人工智能开发
2026年3月21日
Composer 2 by Cursor

Composer 2 by Cursor

快速、高效利用token的顶尖级编程模型

开发者工具人工智能开发
2026年3月20日
Google AI Studio 2.0

Google AI Studio 2.0

由 Antigravity + Firebase 驱动的全栈氛围编程体验

开发者工具人工智能氛围编程
2026年3月20日
Built for Devs

Built for Devs

洞察开发者使用产品的真实体验

用户体验开发者工具人工智能
2026年3月20日
Visdiff

Visdiff

终结设计与代码间的鸿沟,实现完美匹配

设计工具开发者工具人工智能
2026年3月20日
AI Skills Manager

AI Skills Manager

一站式管理所有 AI 技能

开源开发者工具人工智能
2026年3月20日
InfrOS

InfrOS

在部署前预测并验证云架构

软件工程开发者工具人工智能
2026年3月19日
Netlify.new

Netlify.new

仅需一个提示,即刻在 Netlify 上启动项目

开发者工具人工智能无代码
2026年3月19日
PixelClaw

PixelClaw

一只栖息在 Dock 栏上的迷你像素螃蟹

生产力开发者工具生活方式
2026年3月19日
GPT‑5.4 mini and nano

GPT‑5.4 mini and nano

专为编程与子代理优化的快速高效模型

API开发者工具人工智能
2026年3月18日
OpenObserve

OpenObserve

AI原生、开源的可观测性平台,Datadog的替代方案

开源开发者工具人工智能
2026年3月18日
Permit.io MCP Gateway

Permit.io MCP Gateway

开发者喜爱、CISO信赖的即插即用MCP安全网关

开发者工具人工智能安全
2026年3月18日
Lightning Rod

Lightning Rod

快速将现实世界数据转化为训练数据集

开发者工具人工智能
2026年3月17日
mTarsier

mTarsier

用于管理 MCP 服务器与客户端的开源平台

开源开发者工具人工智能
2026年3月17日
AgentDiscuss

AgentDiscuss

AI Agent 的 Product Hunt —— 让 Agent 来讨论产品

开发者工具人工智能社区
2026年3月17日
Ocean Orchestrator

Ocean Orchestrator

在 IDE 中一键运行 AI 任务工作流

开发者工具人工智能数据科学
2026年3月17日
JetBrains Air

JetBrains Air

可同时运行Codex、Claude agent、Gemini CLI与Junie

软件工程开发者工具人工智能
2026年3月16日
Donely

Donely

每月0美元获取独立OpenClaw实例,附赠免费AI使用额度

生产力开发者工具人工智能
2026年3月16日
Masko Code

Masko Code

实时监控Claude Code运行的桌面吉祥物

开源开发者工具人工智能
2026年3月16日
ZeroSettle

ZeroSettle

即插即用直付SDK,规避30%苹果税

金融科技支付开发者工具
2026年3月16日
Google Workspace CLI

Google Workspace CLI

面向用户与agent打造的Google Workspace生态命令行工具

开源开发者工具人工智能
2026年3月15日
ClawSecure

ClawSecure

专为OpenClaw AI agent打造的唯一完整安全平台

开源开发者工具安全
2026年3月15日
ByteRover Memory System for OpenClaw

ByteRover Memory System for OpenClaw

适用于OpenClaw的基于文件的记忆系统,检索准确率超92%

开源开发者工具人工智能
2026年3月15日
Agent 37

Agent 37

每月仅3.99美元即可获得专属OpenClaw实例

生产力开发者工具人工智能
2026年3月14日
Struct

Struct

可定位工程告警根因的AI agent

软件工程开发者工具人工智能
2026年3月14日
OpenMolt

OpenMolt

通过代码创建并管理AI agent(开源)

开源开发者工具人工智能
2026年3月14日
AI Website Redesign by Shuffle

AI Website Redesign by Shuffle

支持同时查看多个AI模型并排完成网站重设计

设计工具开发者工具
2026年3月14日
Perplexity Computer Skills

Perplexity Computer Skills

借助可复用指令扩展Computer能力

生产力开发者工具人工智能
2026年3月13日
GStack

GStack

使用加里·谭同款Claude Code配置方案

开发者工具GitHub
2026年3月13日
Fowel by Hackmamba

Fowel by Hackmamba

立即将文档审核时间减少80%

开发者工具人工智能GitHub
2026年3月13日
Huddle01 Cloud

Huddle01 Cloud

60秒完成AI agent部署

开发者工具人工智能YC申请项目
2026年3月12日
InsForge

InsForge

为 agent 提供构建全栈应用所需的一切

开源开发者工具GitHub
2026年3月11日
OpenUI

OpenUI

生成式 UI 的开放标准

开源开发者工具人工智能
2026年3月11日
Gemini Embedding 2

Gemini Embedding 2

谷歌首个原生多模态嵌入模型

开发者工具人工智能开发
2026年3月11日
Firecrawl CLI

Firecrawl CLI

面向 AI Agent 的完整网络数据工具包

开发者工具人工智能
2026年3月11日
IonRouter

IonRouter

以更快、更低的成本服务任何AI模型

开发者工具人工智能科技
2026年3月11日
Claude Code Review

Claude Code Review

多智能体审查,在AI生成代码的早期捕获缺陷

开发者工具人工智能开发
2026年3月10日
Agent Skills

Agent Skills

为 Claude Code、Cursor、Copilot 等 AI 助手寻找技能

软件工程开发者工具人工智能
2026年3月10日
Sonarly

Sonarly

自主修复生产问题的 AI

软件工程开发者工具人工智能
2026年3月10日
OpenClix

OpenClix

为移动应用打造的 Agent 驱动留存流程

开源开发者工具GitHub
2026年3月9日
cutefolio

cutefolio

打造真正赏心悦目的作品集页面

生产力开发者工具GitHub
2026年3月9日
Claude Marketplace

Claude Marketplace

助力企业轻松获取所需AI工具

生产力开发者工具人工智能
2026年3月8日
Pulldog

Pulldog

一款让代码审查井然有序的 Mac 应用!

生产力开发者工具GitHub
2026年3月8日
Soloron

Soloron

通过简单描述,构建真实应用

开发者工具人工智能科技
2026年3月8日
FinishDSA

FinishDSA

以结构化、持续性和零压力的方式攻克数据结构与算法

教育SaaS开发者工具
2026年3月8日
TestSprite 2.1

TestSprite 2.1

面向AI原生团队的智能体化测试

SaaS开发者工具人工智能
2026年3月7日
FasterGH

FasterGH

极速 GitHub 浏览体验

开源开发者工具GitHub
2026年3月7日
21st Agents SDK

21st Agents SDK

为应用集成 Claude Code AI agent 的 SDK

开发者工具人工智能SDK
2026年3月7日
LTX Desktop

LTX Desktop

专为 GPU 优化的本地开源 LTX 视频编辑器

开发者工具人工智能
2026年3月7日
Tailwind Form Builder

Tailwind Form Builder

快速创建响应式 HTML 表单,无需登录

开源营销开发者工具
2026年3月7日
GPT‑5.4

GPT‑5.4

OpenAI 最高效的模型:更少 token,更清晰

生产力开发者工具人工智能
2026年3月6日
CoChat

CoChat

面向团队的安全、协作、自主式 OpenClaw 平台

生产力开发者工具人工智能
2026年3月6日
Context Gateway

Context Gateway

为 Claude Code 提速降本,同时保留完整上下文

开发者工具人工智能GitHub
2026年3月6日
Hermit

Hermit

告别 ChatGPT,同时保留它对你的全部了解

生产力开发者工具人工智能
2026年3月5日
Supa Social

Supa Social

自主托管社区平台

社交媒体开发者工具科技
2026年3月5日
Anything API

Anything API

任何网站,我们交付API

API开发者工具人工智能
2026年3月4日
Enia Code

Enia Code

主动式AI,优化代码并学习开发标准

软件工程开发者工具Vibe coding
2026年3月4日
Maxclaw on Mobile

Maxclaw on Mobile

构建应用、深度研究并自动化多步骤任务

开发者工具人工智能无代码
2026年3月4日
Projekt

Projekt

专为构建 AI Agent 而生的 BYOK 设计与开发工具

设计工具开发者工具氛围编程
2026年3月4日
Mailercloud Email API Platform

Mailercloud Email API Platform

每秒发送 1000+ 封邮件,送达率高达 99% 以上

API电子邮件营销开发者工具
2026年3月3日
Clean Clode

Clean Clode

即时清理 Claude Code 与 Codex 终端输出

软件工程开发者工具GitHub
2026年3月2日
Agent Commune

Agent Commune

面向个体与公司 AI Agent 的 LinkedIn

社交媒体开发者工具LinkedIn
2026年3月2日
OpenFang

OpenFang

开源 Agent 操作系统

生产力开源开发者工具
2026年3月1日
OpenAI WebSocket Mode for Responses API

OpenAI WebSocket Mode for Responses API

持久化 AI agent,响应速度提升高达 40%

API开发者工具人工智能
2026年3月1日
Octrafic

Octrafic

用自然语言测试 API,直接在终端中完成

API开源开发者工具
2026年3月1日
Epismo Skills

Epismo Skills

为 agent 提供可靠运行所需的一切

生产力开发者工具人工智能
2026年3月1日
theORQL

theORQL

前端开发的 Cursor。在 Chrome 和 VS Code 中构建与调试。

软件工程开发者工具GitHub
2026年2月28日
Superset

Superset

在本地机器上运行一支由 Claude Code、Codex 等组成的编码大军

生产力开发者工具人工智能
2026年2月27日
Claude Code Remote Control

Claude Code Remote Control

通过远程控制,在任何设备上继续本地会话

Android开发者工具人工智能
2026年2月27日
Mastra Code

Mastra Code

永不压缩上下文的 AI 编程助手

软件工程开发者工具人工智能
2026年2月27日
Hacker News for macOS

Hacker News for macOS

专为 macOS 打造的 Hacker News 原生客户端,基于 SwiftUI 构建

新闻开源开发者工具
2026年2月27日
Koidex

Koidex

快速判断软件包、扩展或AI模型是否真正安全

生产力开发者工具安全
2026年2月26日
gpt-realtime-1.5 by OpenAI

gpt-realtime-1.5 by OpenAI

提升语音 agent 的指令遵循能力

API开发者工具人工智能
2026年2月26日
Tessl

Tessl

优化智能体技能,交付质量提升三倍的代码

软件工程开发者工具人工智能
2026年2月26日
KiloClaw

KiloClaw

托管的 OpenClaw,无需 Mac mini。

开源开发者工具
2026年2月25日
floors.js

floors.js

一键脚本,将网站变为哈宝酒店

营销SaaS开发者工具
2026年2月25日
DemoMe

DemoMe

即时将屏幕录制转化为精美的演示视频

设计工具营销开发者工具
2026年2月25日
VibePad

VibePad

用游戏手柄在沙发上操控 AI 编程助手

开源开发者工具Vibe coding
2026年2月25日
Stitch by Google

Stitch by Google

将餐巾纸草图瞬间转化为可投入生产的用户界面

设计工具开发者工具人工智能
2026年2月24日
Modelence App Builder

Modelence App Builder

构建真正的应用,而非原型

开源开发者工具氛围编程
2026年2月24日
Toggle for OpenClaw

Toggle for OpenClaw

浏览器活动实时流式传输至您的agent

生产力开发者工具人工智能
2026年2月24日
Straion

Straion

为 AI 编程助手集中管理规则

开发者工具人工智能Vibe coding
2026年2月22日
git-lrc

git-lrc

在提交时运行的免费、不限次数的 AI 代码审查

开发者工具人工智能GitHub
2026年2月21日
Macky

Macky

从 iPhone 连接 Mac 终端

开发者工具科技
2026年2月21日
Architect by Lyzr

Architect by Lyzr

构建真正为己所用的AI

开发者工具人工智能无代码
2026年2月20日
Claudebin

Claudebin

将 Claude Code 会话导出并分享为可恢复的链接

开发者工具人工智能GitHub
2026年2月20日
keychains.dev

keychains.dev

为 AI 安全接入 6754+ API,零凭证暴露风险

开发者工具人工智能安全
2026年2月20日
FF Designer

FF Designer

生成精美UI设计,即刻编辑修改

设计工具生产力开发者工具
2026年2月19日
HyperCaps for macOS

HyperCaps for macOS

将大写锁定键变为超级键,提升生产力

Mac生产力开发者工具
2026年2月19日
Mengram

Mengram

具备三类记忆的 AI 记忆 API:事实、事件与工作流

开源开发者工具人工智能
2026年2月19日
ClawMetry for OpenClaw

ClawMetry for OpenClaw

OpenClaw AI agent 的实时可观测性仪表板

开源开发者工具人工智能
2026年2月18日
Design Rails

Design Rails

数分钟内获得可供 AI agent 使用的完整品牌

设计工具开发者工具Vibe coding
2026年2月18日
SPECTRE

SPECTRE

面向产品构建者的智能体编码工作流

软件工程开发者工具GitHub
2026年2月18日
Base44 Backend Platform

Base44 Backend Platform

AI 时代的后端平台

开发者工具人工智能GitHub
2026年2月16日
Agent Bar

Agent Bar

从菜单栏直接运行 Claude Code

Mac开发者工具人工智能
2026年2月16日
chowder.dev

chowder.dev

启动 OpenClaw 实例的统一 API

API开发者工具人工智能
2026年2月16日
MockAPI Dog

MockAPI Dog

即时创建模拟 REST 与 LLM API - 免费,无需注册

API开发者工具人工智能
2026年2月16日
Formaly

Formaly

让表单体验如同对话般自然

即时通讯数据分析开发者工具
2026年2月15日
Whyze

Whyze

洞悉用户流失的根本原因,而非仅停留于数据表象

SaaS开发者工具人工智能
2026年2月15日
Cline CLI 2.0

Cline CLI 2.0

终端内的并行智能体与无头 CI/CD

开源开发者工具人工智能
2026年2月14日
OpenBug

OpenBug

问题工单进,修复方案出。每个解决方案都在训练下一个。

开源开发者工具人工智能
2026年2月14日
SnapPoint

SnapPoint

让系统快速恢复井然有序

生产力开源开发者工具
2026年2月14日
ZenMux

ZenMux

具备自动补偿机制的企业级 LLM 网关

API开发者工具人工智能
2026年2月13日
Code Arena

Code Arena

一次提示,免费对比多款AI构建的应用

软件工程开发者工具人工智能
2026年2月13日
GPT‑5.3‑Codex‑Spark

GPT‑5.3‑Codex‑Spark

专为 Codex 实时编码设计的超高速模型

开发者工具人工智能开发
2026年2月13日
Visual Editing by DatoCMS

Visual Editing by DatoCMS

无头 CMS 的可视化编辑解决方案

API网站构建器开发者工具
2026年2月12日
Edgee

Edgee

AI 网关,大幅降低 Token 消耗

软件工程开发者工具人工智能
2026年2月12日
Tines

Tines

构建跨工作空间集成的智能体与自动化流程

开发者工具人工智能安全
2026年2月11日
Oz by Warp

Oz by Warp

并行运行数百个云端智能体

软件工程开发者工具人工智能
2026年2月11日
Willow for Developers

Willow for Developers

专为 Cursor 与 AI IDE 打造的语音输入,实现心流编程的最快方式

生产力开发者工具心流编程
2026年2月11日
Spawned

Spawned

一体化平台,构建、发布与发现产品

开发者工具人工智能无代码
2026年2月10日
Dropstone 3

Dropstone 3

首个多人协作 AI 代码编辑器,现已支持共享会话

生产力开发者工具人工智能
2026年2月9日
ClawdTalk

ClawdTalk

为 Clawdbot 配备首个电话号码

消息通讯开发者工具人工智能
2026年2月9日
Axel

Axel

专为AI编程助手设计的任务管理器

任务管理开源开发者工具
2026年2月8日
Snap

Snap

为开发者打造的悬浮工具坞

设计工具生产力开发者工具
2026年2月8日
Nativeline

Nativeline

用 AI 构建原生的 Swift iPhone、iPad 和 Mac 应用

开发者工具人工智能科技
2026年2月7日
Developer Docs Audit

Developer Docs Audit

提升LLM可见度、注册量与用户激活率

营销SEO开发者工具
2026年2月7日
GitBoard

GitBoard

GitHub Projects 的 macOS 菜单栏应用

开发者工具GitHub菜单栏应用
2026年2月7日
Claude Opus 4.6

Claude Opus 4.6

Claude 最先进的模型,专为智能体任务打造

生产力开发者工具人工智能
2026年2月6日
BetterBugs MCP

BetterBugs MCP

跨工具提供完整错误上下文,实现更优调试

Chrome 扩展开发者工具Vibe coding
2026年2月6日
Voxtral Transcribe 2 by Mistral

Voxtral Transcribe 2 by Mistral

实时语音转文字,支持说话人分离

Android开发者工具人工智能
2026年2月5日
Miro MCP

Miro MCP

将代码转化为可视化文档,将白板内容转化为代码

软件工程开发者工具人工智能
2026年2月5日
Xcode 26.3

Xcode 26.3

借助编程agent自主处理复杂任务

开发者工具人工智能
2026年2月4日
Bunny Database

Bunny Database

如同 SQLite,但专为 Web 而生

开发者工具数据库
2026年2月4日
Sheetful.co

Sheetful.co

基于 Google Sheets 免费构建强大的 REST API

API电子表格开发者工具
2026年2月4日
Unblocked Code Review

Unblocked Code Review

懂得何时介入的 AI 代码审查

软件工程开发者工具人工智能
2026年2月4日
Postproxy

Postproxy

一个 API 即可发布到 Instagram、TikTok、YouTube 等平台

API社交媒体开发者工具
2026年2月4日
Multitui

Multitui

在 macOS 上为 Claude Code、Codex 或任何 TUI 程序创建沙盒应用

Mac开发者工具人工智能
2026年2月4日
Grok Imagine 1.0

Grok Imagine 1.0

前所未有的便捷,让创意即刻成真

开发者工具人工智能视频
2026年2月3日
Ask Ellie

Ask Ellie

将 Slack 消息转化为 GitHub、Jira 或 Linear 工单

Slack软件工程开发者工具
2026年2月2日
Portal

Portal

无需设置,随时发送链接即可试用任何产品

销售用户体验开发者工具
2026年2月2日
Design In The Browser

Design In The Browser

前端开发的视觉化工具。点击元素,AI 自动编码。

设计工具生产力开发者工具
2026年2月2日
ClaudeUsageBar

ClaudeUsageBar

一目了然,精准掌握 Claude 剩余使用额度

开源开发者工具菜单栏应用
2026年1月31日
skills.sh

skills.sh

AI Agent 技能目录

软件工程开发者工具
2026年1月31日
Kalendar.work

Kalendar.work

一款功能齐全的免费 Calendly 替代方案

生产力SaaS开发者工具
2026年1月30日
Archimyst

Archimyst

AI驱动的系统架构设计平台

API开发者工具人工智能
2026年1月30日
YepCode

YepCode

开发者优先的 AI 集成平台:安全构建、运行与扩展

软件工程开发者工具GitHub
2026年1月30日
Kilo Code Reviewer

Kilo Code Reviewer

开启 PR 即刻获得 AI 驱动的自动化代码审查

开源软件工程开发者工具
2026年1月27日
Moltbot

Moltbot

真正能执行任务的AI

开源开发者工具人工智能
2026年1月27日
ShapedQL

ShapedQL

专为搜索、信息流和AI Agent打造的SQL引擎

软件工程开发者工具人工智能
2026年1月27日
Forums

Forums

为 GitHub 仓库提供 AI 驱动的问答服务

开源开发者工具GitHub
2026年1月25日
Omia Studio

Omia Studio

用 AI + Python 生成线框图和真实应用

设计工具开发者工具人工智能
2026年1月25日
ALGO - Interface for working with AI

ALGO - Interface for working with AI

多AI系统协作与团队工作软件

生产力开发者工具人工智能
2026年1月25日
Tonkotsu

Tonkotsu

在文档中管理一支编码智能体团队

软件工程开发者工具人工智能
2026年1月23日
nlsh

nlsh

用自然语言与终端对话

开源编程语言开发者工具
2026年1月23日
Usagebar

Usagebar

在菜单栏追踪 Claude Code 使用情况

生产力开发者工具菜单栏应用
2026年1月23日
Preloop

Preloop

MCP 治理层

开源开发者工具人工智能
2026年1月23日
Forge Agent

Forge Agent

将缓慢的 PyTorch 模型转化为高速 GPU 内核的集群智能体

硬件开发者工具人工智能
2026年1月23日
Web search API by Crustdata

Web search API by Crustdata

专为 AI Agent 打造的最快、最准确的网络搜索 API

销售API开发者工具
2026年1月22日
Demonstrate by Notte

Demonstrate by Notte

数分钟内将浏览器操作流程转化为可部署的自动化代码

API开发者工具人工智能
2026年1月22日
Netlify Capsules

Netlify Capsules

将网页项目发射为AR胶囊,供他人在轨道中发现

开发者工具增强现实网页设计
2026年1月22日
Coda by Conductor Quantum

Coda by Conductor Quantum

利用量子计算与自然语言解决问题

开发者工具人工智能计算机
2026年1月22日
Blink Agent Builder

Blink Agent Builder

现在可以通过氛围编程构建智能体AI应用

开发者工具人工智能氛围编程
2026年1月21日
Mastra

Mastra

使用现代 TypeScript 技术栈构建 AI agent

软件工程开发者工具人工智能
2026年1月21日
FastMCP 3.0

FastMCP 3.0

构建 MCP 服务器与客户端的快速、Pythonic 之道

开源开发者工具人工智能
2026年1月21日
Forvibe

Forvibe

发布应用,告别繁琐运营杂务

生产力开发者工具人工智能
2026年1月21日
Rippletide Eval CLI

Rippletide Eval CLI

AI Agent 评估工具

分析工具开发者工具人工智能
2026年1月20日
MCPJam Inspector

MCPJam Inspector

本地测试与开发 ChatGPT 应用和 MCP 应用(扩展应用)

开源开发者工具GitHub
2026年1月20日
OS Ninja

OS Ninja

利用人工智能探索和学习开源项目

开源软件工程开发者工具
2026年1月19日
Updatest

Updatest

Mac 更新的新家园

Mac开发者工具菜单栏应用
2026年1月19日
FlowGenie

FlowGenie

构建表单与自动化工作流,体验如魔法般流畅

Web 应用开发者工具无代码
2026年1月19日
Cloudchipr

Cloudchipr

云成本可观测性、管理与自动化平台

SaaS开发者工具
2026年1月18日
Qrystal Uplink

Qrystal Uplink

面向物联网的云端看门狗

物联网SaaS开发者工具
2026年1月18日
Sled

Sled

通过语音,在手机上运行编码助手

开源开发者工具人工智能
2026年1月17日
1Code

1Code

为 Claude Code 打造的开源 Cursor 式界面

开发者工具人工智能GitHub
2026年1月16日
TranslateGemma

TranslateGemma

基于谷歌模型的开源翻译,支持 55 种语言

开源语言开发者工具
2026年1月16日
AI Test Engineer by BlinqIO

AI Test Engineer by BlinqIO

生成 Playwright 代码 + 自愈测试,无供应商锁定

生产力开发者工具人工智能
2026年1月15日
Cursor AI Mobile

Cursor AI Mobile

直接从 iPhone 控制 Cursor AI

开发者工具人工智能Vibe coding
2026年1月15日
GitHub Space Shooter

GitHub Space Shooter

将 GitHub 贡献图可视化为太空射击游戏

开发者工具GitHub数据可视化
2026年1月15日
Simpl.

Simpl.

一款用于处理真实数据的愉悦型 Postgres 浏览器

开发者工具数据库
2026年1月14日
Redlight Greenlight for Claude Code

Redlight Greenlight for Claude Code

在 Mac 任意位置批准或拒绝 Claude Code 权限请求

开发者工具人工智能菜单栏应用
2026年1月14日
Atoms

Atoms

将创意转化为业务。从创意编码到创意商业

生产力开发者工具人工智能
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Recent.dev

Recent.dev

实时获取常用工具的更新通知

生产力新闻开发者工具
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Superdesign Prompt Library

Superdesign Prompt Library

涵盖风格、动画、组件的设计提示词库

Chrome 扩展设计工具开发者工具
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Drift

Drift

具有光标缩放效果的专业屏幕录制桌面应用

设计工具用户体验开发者工具
2026年1月12日
 cubic 2.0

 cubic 2.0

AI 时代的代码审查

软件工程开发者工具人工智能
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Repo Prompt

Repo Prompt

自动组织完美的项目上下文

开发者工具人工智能
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Promptsy

Promptsy

创建、保存和分享提示词

Chrome 扩展生产力开发者工具
2026年1月9日
Kuulto

Kuulto

使用 /ai 组织文件、转换图像格式等

生产力开发者工具GitHub
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P402.io

P402.io

路由、验证并结算付费 API 调用,完全可追踪

API支付开发者工具
2026年1月9日
Spec Coding by Capacity

Spec Coding by Capacity

氛围编码加规划助手,以清晰的方式构建应用

设计工具原型设计开发者工具
2026年1月8日
Awesome Gemini Prompts

Awesome Gemini Prompts

Google Gemini 和 Nano 的终极开源提示词库

开源开发者工具人工智能
2026年1月8日
PingPrompt

PingPrompt

整理提示词、追踪变更、加速迭代

生产力开发者工具人工智能
2026年1月8日
Planelo

Planelo

开发者专属的想法中心

生产力笔记开发者工具
2026年1月7日
NotifyGate

NotifyGate

统一管理所有通知的中枢网关

API开发者工具
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Forge CLI

Forge CLI

群体智能 agent 为任何 HF/PyTorch 模型优化 CUDA/Triton

硬件开发者工具人工智能
2026年1月6日
MiroMiro

MiroMiro

一键复制任何网站的设计与资源

设计工具生产力开发者工具
2026年1月5日
AppStoreReady

AppStoreReady

自信地启动应用

iOS生产力开发者工具
2026年1月4日
Flux

Flux

在 iMessage 中构建个性化 AI agent

消息应用用户体验开发者工具
2026年1月3日
Ultracite v7

Ultracite v7

主观设计、零配置的代码检查器和格式化工具

开源软件工程开发者工具
2026年1月3日
Blober.io

Blober.io

在云存储提供商之间传输文件的最简便方式

存储移动与存储开发者工具
2026年1月2日
Supaguard

Supaguard

扫描、检测并保护 Supabase 数据

SaaS开发者工具安全
2026年1月2日
Gitdocs

Gitdocs

从 GitHub 仓库生成生产级 README 文件

生产力开发者工具GitHub
2025年12月30日
Dropstone

Dropstone

递归群体 IDE。一个标签页里的 10,000 个 agent

生产力开发者工具人工智能
2025年12月29日
BetaCircle

BetaCircle

在 Google Play 闭测中获取 12 名安卓测试者,期限 14 天

安卓开发者工具
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HMPL

HMPL

轻量级面向服务器的 JavaScript 模板语言

开源开发者工具GitHub
2025年12月28日
Product Hunt Wrapped 2025

Product Hunt Wrapped 2025

2025 创意人之旅,数据可视化呈现

开发者工具Product Hunt创意人工具
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Alpie Core

Alpie Core

具有前沿性能的 4 位推理模型

API开发者工具人工智能
2025年12月27日
Year in Code

Year in Code

Claude 编码年度回顾,如同 Spotify Wrapped!

用户体验开发者工具GitHub
2025年12月27日
rep+

rep+

AI 安全副驾驶,守护 HTTP 请求

Chrome 扩展生产力开发者工具
2025年12月27日
LyftMyApp

LyftMyApp

开发者协作应用测试和反馈平台

SaaS开发者工具
2025年12月26日
GitJin

GitJin

在一个清晰的仪表板中管理 GitHub 仓库、议题和拉取请求

用户体验开发者工具GitHub
2025年12月24日
/agent by Firecrawl

/agent by Firecrawl

从网络任何地方获取结构化数据

开发者工具人工智能数据
2025年12月23日
Vibe Pocket

Vibe Pocket

在移动设备上运行 AI agents,如 Claude Code、Codex、Opencode

开发者工具人工智能Vibe 编码
2025年12月23日
cto bench

cto bench

真实代码 agent 基准测试

分析开发者工具人工智能
2025年12月20日
Review Frame

Review Frame

将 GitHub 工作转化为审查就绪的总结

生产力开发者工具GitHub
2025年12月20日
OLLM.COM

OLLM.COM

机密AI网关

隐私开发者工具人工智能
2025年12月20日
GitStory

GitStory

将 GitHub 提交转化为电影般的故事

设计工具开源开发者工具
2025年12月19日
LocaleX

LocaleX

使用 AI 驱动的自动翻译功能本地化应用

Mac生产力开发者工具
2025年12月19日
Quickleap

Quickleap

无复杂化的域名重定向服务

生产力开发者工具技术
2025年12月19日
Netlify AI Gateway

Netlify AI Gateway

无需管理密钥或账单即可使用 AI 模型

开发者工具人工智能流畅编程
2025年12月18日
Grov

Grov

团队共享且同步的 AI 记忆和推理能力

开源开发者工具人工智能
2025年12月17日
NexaSDK for Mobile

NexaSDK for Mobile

将多模态 AI 部署到移动端的最简易方案

开发者工具人工智能SDK
2025年12月16日
QualGent

QualGent

一键测试应用,采用可扩展的 AI QA agent

开发者工具人工智能无代码
2025年12月16日
Mirror

Mirror

检测 macOS 上隐藏的应用

开源开发者工具GitHub
2025年12月16日
Stakpak 3.0 CLI

Stakpak 3.0 CLI

为只想快速交付的开发者打造的开源 DevOps agent

软件工程开发者工具人工智能
2025年12月16日
CLI Manager

CLI Manager

在一个仪表板中运行和组织多个 AI CLI 代理

软件工程开发者工具体感编程
2025年12月16日
ManyPI

ManyPI

将网站转换为 API

API开发者工具人工智能
2025年12月15日
Flowglad

Flowglad

开源、无webhook的支付方案,AI 可一步集成

开源支付开发者工具
2025年12月14日
Sidemail MCP

Sidemail MCP

AI agent 驱动的 SaaS 邮件编写与管理

电子邮件SaaS开发者工具
2025年12月14日
VibeCSS

VibeCSS

Google Chrome AI设计助手

Chrome 扩展开发者工具人工智能
2025年12月12日
Buildstash

Buildstash

组织、分享与分发软件二进制文件

软件工程开发者工具开发
2025年12月12日
Macaly 3.0

Macaly 3.0

氛围编码中最佳的编辑体验

网站建设器开发者工具氛围编码
2025年12月11日
Cosmic AI Agents

Cosmic AI Agents

自主 AI 助手为你构建、编写和发布产品

API开发者工具人工智能
2025年12月9日
Kerno

Kerno

后端工程师的测试协驾驶助手

软件工程开发者工具人工智能
2025年12月9日
MultiDrive

MultiDrive

免费磁盘克隆、备份和安全擦除软件

Windows生产力开发者工具
2025年12月8日
Marble

Marble

超简洁无头 CMS

SaaS开发者工具人工智能
2025年12月8日
RightNow

RightNow

GPU 核心开发的 AI 代码编辑器

开发者工具人工智能科技
2025年12月8日
CUDA 13.1

CUDA 13.1

2006 年以来最大规模的 CUDA 扩展

硬件开发者工具人工智能
2025年12月8日
BrowserBook

BrowserBook

浏览器自动化集成开发环境

开发者工具人工智能Vibe 编码
2025年12月8日
Inference Engine by GMI Cloud

Inference Engine by GMI Cloud

快速的多模态原生规模化推理

开发者工具人工智能
2025年12月7日
TruGen AI

TruGen AI

用类人视频 Agent 赋予 AI 生命

开发者工具人工智能视频
2025年12月6日
Browser Use Skills

Browser Use Skills

用一个提示词将任何网站转变为可靠的 API

API开发者工具人工智能
2025年12月6日
Documentation.AI

Documentation.AI

使用 AI 轻松构建和更新产品文档

开发者工具人工智能
2025年12月5日
8bitcn/ui

8bitcn/ui

适配任何框架的 8 位像素风格 UI 组件

开源开发者工具GitHub
2025年12月5日
Gemini 3 Deep Think by Google

Gemini 3 Deep Think by Google

谷歌最强推理模型,深度理解逻辑问题

生产力开发者工具人工智能
2025年12月5日
Bun

Bun

快速的 JavaScript 运行时,Node.js 的替代方案,内置开发工具

开源开发者工具GitHub
2025年12月5日
Pylar

Pylar

安全地将整个数据栈连接到任何 agent

开发者工具人工智能安全
2025年12月4日
Unosend

Unosend

以 99.9% 的送达率发送事务型和营销邮件

API电子邮件营销开发者工具
2025年12月4日
TrueFoundry AI Gateway

TrueFoundry AI Gateway

连接、观测和控制 LLM、MCP、防护栏和提示词

API开发者工具人工智能
2025年12月3日
beLow

beLow

嵌入式 C/C++ 代码生成 - 优化版本

开发者工具
2025年12月3日
Gleam

Gleam

来自 10 位专家评审团的 AI 驱动设计评审

设计工具用户体验开发者工具
2025年12月3日
Nova Act by Amazon

Nova Act by Amazon

AWS 上用于构建可靠 agent 的 AI agent 平台

生产力开发者工具人工智能
2025年12月3日
Once UI 1.5

Once UI 1.5

用于交互和动画效果的开源设计系统

开源用户体验开发者工具
2025年12月2日
Vibecode DB

Vibecode DB

前端数据库 API 网关

API开源开发者工具
2025年12月2日
TwelveLabs Marengo 3.0

TwelveLabs Marengo 3.0

最强大的视频理解嵌入模型

开发者工具人工智能视频
2025年12月1日
Crow

Crow

通过 AI Copilot 让产品成为 AI 原生应用

API开发者工具人工智能
2025年12月1日
FlowLens

FlowLens

为编程 Agent 设计的 Bug 报告工具,助力加快发布速度

Chrome 扩展开源开发者工具
2025年12月1日
RightNow CUDA Editor

RightNow CUDA Editor

为 GPU 开发打造的 AI 代码编辑器

硬件开发者工具人工智能
2025年11月30日
ModelPilot

ModelPilot

为每个提示优化性能、成本、速度和碳排放

API开发者工具人工智能
2025年11月29日
Qoder JetBrains Plugin

Qoder JetBrains Plugin

理解后端架构的真实复杂性,而非仅语法层面

开发者工具人工智能沉浸式编码
2025年11月28日
Agenta

Agenta

AI团队的开源提示词管理与评估平台

开源开发者工具人工智能
2025年11月28日
Links 2.0

Links 2.0

比以往更快地保存、整理和查找链接

iOS生产力开发者工具
2025年11月27日
Rubber Duck

Rubber Duck

在苹果审核前捕获应用商店拒审问题

分析工具开发者工具苹果
2025年11月26日
AskCodi

AskCodi

自定义 LLM,无需训练。通过 OpenAI 兼容 API 使用

软件工程开发者工具人工智能
2025年11月26日
nao

nao

AI 数据集成开发环境,加速数据工作效率 10 倍

开发者工具人工智能数据与分析
2025年11月25日
Raydian

Raydian

AI 产品构建的下一个前沿

开发者工具人工智能氛围编码
2025年11月25日
Haxiom

Haxiom

团队协作的在线 Markdown 编辑器

生产力开发者工具人工智能
2025年11月25日
Container Diet

Container Diet

用 AI 驱动的优化工具瘦身 Docker 镜像。🐳💅

开源开发者工具人工智能
2025年11月24日
Next3 Offload

Next3 Offload

通过将媒体文件转移到云端来减少图像加载时间

搜索引擎优化WordPress开发者工具
2025年11月23日
Bookmarkjar ®

Bookmarkjar ®

为所有保存内容提供 AI 驱动的书签管理

生产力开发者工具人工智能
2025年11月22日
SynthID by Google DeepMind

SynthID by Google DeepMind

用谷歌新推出的水印工具检测 AI 生成的内容

开发者工具人工智能安全
2025年11月22日
Onyx

Onyx

免费、本地优先的 4K 屏幕录制工具

生产力开发者工具
2025年11月22日
npm.bet

npm.bet

精美的交互式 npm 趋势可视化工具

开源开发者工具GitHub
2025年11月22日
Raycast for Windows

Raycast for Windows

Windows 上的万能快捷入口

Windows生产力开发者工具
2025年11月21日
Lamatic 3.0

Lamatic 3.0

将领域专业知识转化为可靠的智能应用

开发者工具人工智能无代码
2025年11月21日
TurtleBar - Smart Battery Saver for Mac

TurtleBar - Smart Battery Saver for Mac

一键延长 Mac 电池续航时间

Mac生产力开发者工具
2025年11月21日
OCR Arena

OCR Arena

全球首个 OCR 排行榜

开发者工具人工智能
2025年11月21日
Dimension

Dimension

AI 助手连接工具并自动化日常繁琐工作

生产力开发者工具人工智能
2025年11月20日
Google Antigravity

Google Antigravity

体验升空时刻

开发者工具人工智能
2025年11月19日
Snippets AI

Snippets AI

高级 AI 提示词管理工具

生产力开发者工具人工智能
2025年11月19日
Ogment MCP-Builder

Ogment MCP-Builder

在几分钟内让产品接入 ChatGPT 和 Claude

开发者工具人工智能无代码
2025年11月19日
AI Toolkit by Tiptap

AI Toolkit by Tiptap

在文档内部构建 AI,而不是在旁边

文本编辑器开发者工具人工智能
2025年11月19日
InsForge

InsForge

AI 辅助开发的后端基础设施

开源开发者工具GitHub
2025年11月18日
Reindeer

Reindeer

数据库专用 IDE

开发者工具人工智能数据库
2025年11月17日
Swytchcode

Swytchcode

将 API 转化为 AI 体验

API开发者工具人工智能
2025年11月16日
Proximity Lock System 2.0

Proximity Lock System 2.0

再也不用担心离开电脑时忘记锁屏

开源开发者工具GitHub
2025年11月15日
GitHub Repo Visibility Analyzer

GitHub Repo Visibility Analyzer

让开发者发现你的仓库

搜索引擎优化开发者工具人工智能
2025年11月15日
Codeflash

Codeflash

自动让 Python 代码快速运行 10 倍

开发者工具人工智能GitHub
2025年11月15日
AirShare

AirShare

AirDrop 风格的本地文件分享及全球传输

生产力开发者工具科技
2025年11月14日
PaywallPro

PaywallPro

应用付费墙设计的 Pinterest

增长黑客SaaS开发者工具
2025年11月14日
AirShare

AirShare

AirDrop 风格的文件本地共享和全球传输

生产力开发者工具科技
2025年11月14日
PaywallPro

PaywallPro

应用付费墙设计的 Pinterest

增长黑客SaaS开发者工具
2025年11月14日
Documenso 2.0.0

Documenso 2.0.0

面向所有人的企业级签名基础设施

生产力平台工具开发者工具
2025年11月13日
Bunny Shield

Bunny Shield

强大的CDN安全防护,不设限制门槛

开发者工具安全
2025年11月13日
Superapp

Superapp

用 AI 和 Swift 构建原生 iOS 应用

开发者工具人工智能无代码
2025年11月12日
Logo.dev

Logo.dev

任何产品的可靠标志,瞬间生成。

API开发者工具Logo 设计
2025年11月12日
TRAE SOLO

TRAE SOLO

响应式编码 agent

开发者工具人工智能编码氛围
2025年11月12日
cto.new

cto.new

完全免费的 AI 代码 agent

开发者工具人工智能开发
2025年11月12日
Hathora

Hathora

探索、测试和部署生产级语音模型

开发者工具人工智能音频
2025年11月12日
C1 Artifacts API

C1 Artifacts API

构建能生成精美幻灯片和报告的 AI 应用

API开发者工具人工智能
2025年11月11日
AlterBase

AlterBase

发现更好的替代方案

SaaS开发者工具Web3
2025年11月10日
Magic MCP by Metorial

Magic MCP by Metorial

为氛围编程提供 600+ 集成,无需任何配置

开发者工具人工智能GitHub
2025年11月10日
Fire Your QA Today

Fire Your QA Today

用 AI 自动化 QA 测试

浏览器扩展开发者工具人工智能
2025年11月8日
数据来源:Product Hunt·© 2026 P-Hunt Daily·KaKaCut 旗下产品· 联系:sahadev@foxmail.com·京ICP备2026010115号
s on a brand before PMF, nor could we afford waiting weeks for the full design cycle. \n\nPlus, we wanted more than a visual reference in Figma, or a homepage template. We needed a design system that we could handoff to agents to carry the brand consistently across app workflows, and marketing channels. It needed to include UI styles, voice & tone guidelines, a logo and logo derivatives that'll work well for a favicon, and light and dark themes. \n\nWe talked with other builders who were in the same boat and realized this was a common problem. So, we built Design Rails. \n\nLooking forward to hearing how it works for you, and happy to answer any questions!","review":"Design Rails 精准地瞄准了 AI 原生开发流程中的一个关键缺口:品牌设计的敏捷性与系统性。传统品牌设计周期长、成本高,不适合需要快速验证想法的初创团队或独立开发者。该产品的核心创新在于将品牌设计从静态的视觉资产,转变为可供 AI agent 理解和执行的动态\"设计轨道\"。这不仅解决了从 0 到 1 的品牌创建问题,更重要的是确保了后续由 AI 生成的 UI、文案等内容能始终保持品牌一致性,实现了品牌指导的自动化。其目标用户是拥抱 AI 辅助开发的创业者、产品经理和全栈开发者。潜在挑战在于如何平衡 AI 生成的创意性与品牌的专业深度,以及如何适应不同文化背景下的品牌审美偏好。","primaryCategory":"developer-tools","categories":["developer-tools","design-creative","ai-agents"],"normalizedTopics":["设计、图片与视频","开发者工具","Vibe coding"]},{"name":"SPECTRE","tagline":"面向产品构建者的智能体编码工作流","description":"SPECTRE 是一个智能体编码工作流——包含 /Scope(范围界定)、/Plan(规划)、/Execute(执行)、/Clean(清理)、/Test(测试)、/Rebase(变基)、/Evaluate(评估)七个步骤。它采用简单、循序渐进的产品开发流程,旨在从 AI 编码智能体中生成高质量成果。该项目由 Codename-Inc/spectre 维护。","votesCount":105,"commentsCount":13,"createdAt":"2026-02-18T08:01:00Z","website":"https://www.producthunt.com/r/CZQAMGV6OW6DHH?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/spectre-2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/71cc8957-d36a-4845-b9b0-e5fdb1b21547.png?auto=format","topics":["软件工程","开发者工具","GitHub","创作者工具"],"firstComment":"大家好!过去一年里,我几乎每天都在迭代 SPECTRE 工作流,目标是让 Claude Code 能够持续、稳定地产出高质量成果。\n\nSPECTRE 使得开发工作能够做得更多、更快、质量更高。我相信这个工作流会持续改进,不断发现并消除智能体编码过程中的每一个瓶颈。\n\n🎯 SPECTRE 核心原则\n\n* 优质输入 → 优质输出\n* 模糊性是致命伤\n* 一套工作流,适用于所有功能、任何规模、任何代码库\n* 清晰明了胜过巧妙复杂\n\n我们在 Codename 初创公司使用 SPECTRE 来构建 Subspace(公开测试版)和 New June(封闭内测版)。没有它,这两个产品都不可能存在。\n\n希望这个工作流对大家同样有效。","thumbnail":"https://ph-files.imgix.net/875d7f97-3a0b-43f2-b927-ff6201512f04.jpeg?auto=format","date":"2026-02-18","id":"2026-02-18-7-spectre","taglineEn":"An agentic coding workflow for product builders","descriptionEn":"SPECTRE is an agentic Coding Workflow - /Scope, /Plan, /Execute, /Clean, /Test, /Rebase, /Evaluate - that uses simply step by step product development workflow to generate high quality results from your AI Coding Agents. - Codename-Inc/spectre","topicsEn":["Software Engineering","Developer Tools","GitHub","Maker Tools"],"firstCommentEn":"Hey everyone! I've been iterating on the SPECTRE workflow almost daily for the last year with the goal of getting repeatable and consistent high quality results from Claude Code. \n\nSPECTRE has made it possible to do more, faster, and with higher quality and I really don't see an end to this workflow continuing to improve and find/eliminate each bottleneck in agentic coding process. \n\n🎯 Core SPECTRE Principles\n\n* Great Inputs → Great Outputs\n* Ambiguity is Death\n* One Workflow, Every Feature, Any Size, Any Codebase\n* Obvious > Clever\n\nWe use SPECTRE at our startup Codename to build Subspace (open beta) and New June (closed alpha). Neither of those products would exist without it. \n\nI hope this works as well for you all as it does for us.","review":"SPECTRE 针对当前 AI 辅助编码工具普遍存在的输出不稳定、质量参差不齐的痛点,提出了一套结构化的智能体工作流解决方案。它将复杂的软件开发过程拆解为 Scope、Plan、Execute 等七个清晰步骤,通过流程标准化来约束和引导 AI 编码智能体,旨在实现可重复的高质量输出。其核心创新在于将工程化思维引入 AI 协作开发,强调\"优质输入\"和\"消除模糊性\"等原则,这反映了对当前大模型能力边界的深刻理解。目标用户是希望规模化、系统化利用 AI 进行产品构建的开发者和初创团队。优势在于提供了明确的方法论和可复现的路径,潜在挑战在于工作流的学习成本和在不同项目、团队中的适应性。","primaryCategory":"developer-tools","categories":["developer-tools","design-creative","ai-agents"],"normalizedTopics":["开发者工具","设计、图片与视频","Maker Tools"]},{"name":"Base44 Backend Platform","tagline":"AI 时代的后端平台","description":"为构建 AI agent 应用提供完整的后端解决方案。该平台已通过数百万生产级应用的实战检验,现作为独立服务推出,并针对 Claude Code 和 Cursor 进行了优化。只需一条命令即可部署全栈应用,无需后端设置与配置。AI agent 使用简单的 Skills 而非复杂的 API。$ npx base44@latest create","votesCount":331,"commentsCount":23,"createdAt":"2026-02-16T08:01:00Z","website":"https://www.producthunt.com/r/YKRAC6GSJ23QM3?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/base44?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/7638a316-03f7-4954-8a12-a05499e39c18.png?auto=format","topics":["开发者工具","人工智能","GitHub"],"firstComment":"大家好 PH👋\n\nMaor 在 2024 年底将 Base44 作为副业项目启动,如今已拥有数百万用户。\n早期,Maor 决定完全从零构建整个后端基础设施,而非依赖 Firebase、Supabase 等现有方案。这个决定获得了回报。\n\n今天我们正式将这套基础设施作为独立的 Backend as a Service 发布——它与现有解决方案有着根本性的不同。\n\n核心问题:如果曾使用 Claude Code 或 Cursor 进行开发,就会遇到这堵墙。AI agent 能写出优秀的代码,却卡在后端设置上。这不是 agent 的问题。Supabase、Firebase 等工具是为需要阅读文档、手动配置的人类开发者设计的。AI agent 的工作方式并非如此。后端仍然是瓶颈。\n\nBase44 Backend 专为 agent 从头构建:\n\n🤖 Skills 替代 API - AI agent 不像人类那样阅读 API 文档。我们的 Skills 系统为 agent 提供简单、结构化的指令,使其能够原生执行。这与向 agent 扔一个 Supabase 或 Firebase SDK 并祈祷最佳效果相比,在实践中差异巨大。\n\n⚡ 一条命令部署一切 - 数据库、认证、文件存储等所有组件。无需配置文件,无需环境变量,没有设置成本。\n\n🔌 内置连接器 - 提供开箱即用的 OAuth 集成,支持 Gmail、Slack、Notion、Salesforce、HubSpot、LinkedIn 等。当 agent 说\"新订单来时发布到 Slack\",它就能直接工作。无需管理 API 密钥或从头构建 OAuth 流程。\n\n🧠 应用内 Agent - 内置的 AI agent 可直接运行于应用中。它们可以读写数据、触发后端函数、搜索网络、连接 WhatsApp,就像随产品开箱即用的团队成员。\n\n🚀 历经大规模实战检验 - 这不是一个新实验。正是这套基础设施支撑着 Base44 上超过 1000 万的生产级应用。\n\n目标用户:使用 Claude Code、Cursor 或任何 AI 编程助手的开发者,他们厌倦了后端成为拖慢一切的因素。如果希望 agent 能从想法直接到部署应用,而无需手动触碰后端配置,这正是我们构建的目标。\n\n我们正在快速迭代,并希望与社区共同构建。请告诉我们缺少什么、什么有问题、什么能让它在您的工作流程中提升 10 倍效率。\n\n期待您的反馈 🙏","thumbnail":"https://ph-files.imgix.net/08d3bb67-614f-4562-a46e-b84de507789a.png?auto=format","date":"2026-02-16","id":"2026-02-16-0-base44-backend-platform","taglineEn":"The Backend for the age of AI","descriptionEn":"Complete backend for building apps with AI agents. Battle-tested by millions of production apps, now available as a standalone service optimized for Claude Code and Cursor. Deploy full-stack apps in one command, no backend setup, no configuration. AI agents use simple Skills instead of complex APIs. $ npx base44@latest create","topicsEn":["Developer Tools","Artificial Intelligence","GitHub"],"firstCommentEn":"Hey PH👋\n\nMaor started Base44 as a side project late 2024, and it's now at millions of users.\nEarly on, Maor made a bet to build the entire backend infrastructure from scratch instead of relying on Firebase, Supabase, etc. That bet paid off.\n\nToday we're releasing that same infrastructure as a standalone Backend as a Service - and it's fundamentally different from existing solutions.\n\nThe problem: If you've built with Claude Code or Cursor, you've hit this wall. The agent writes great code - then chokes on backend setup. That's not the agent's fault. Supabase, Firebase, and the rest were designed for human developers who read docs and configure things manually. AI agents don't work that way. The backend is still the bottleneck.\n\nWe built Base44 Backend from the ground up for agents:\n\n🤖 Skills instead of APIs - AI agents don't read API docs the way humans do. Our Skills system gives agents simple, structured instructions they can execute natively. This is a huge difference in practice vs. throwing a Supabase or Firebase SDK at an agent and hoping for the best.\n\n⚡ One command to deploy - database, auth, file storage, everything. No config files, no environment variables, no setup tax.\n\n🔌 Built-in Connectors - OAuth-ready integrations to Gmail, Slack, Notion, Salesforce, HubSpot, LinkedIn, and more. Your agent says \"post to Slack when a new order comes in\" and it just works. No managing API keys or building OAuth flows from scratch.\n\n🧠 App Agents -Built-in AI agents that live inside your app. They can read and write data, trigger backend functions, search the web, connect to WhatsApp, they're like teammates that ship with your product out of the box.\n\n🚀 Battle-tested at scale - This isn't a new experiment. It's the same infra powering 10M+ production apps on Base44.\n\nWho it's for: Developers using Claude Code, Cursor, or any AI coding agent who are tired of the backend being the thing that slows everything down. If you want your agent to go from idea to deployed app without you ever touching backend config, that's exactly what we built.\n\nWe're shipping fast and want to build this with the community. Tell us what's missing, what's broken, what would make this 10x more useful for your workflow.\n\nWould love your feedback 🙏","review":"Base44 Backend Platform 精准地瞄准了 AI 原生开发流程中的关键瓶颈:后端基础设施与 AI 编程助手之间的不匹配。传统 BaaS 如 Firebase、Supabase 是为人类开发者设计的,需要大量手动配置和文档阅读,而这正是 AI agent 的短板。该产品的核心创新在于其\"Skills\"系统,将复杂的 API 抽象为 agent 可原生理解的简单指令,这实质上是在为 AI 重构交互界面。其\"一键部署\"和内置连接器的设计,进一步降低了从想法到部署的摩擦。目标用户明确指向使用 Claude Code、Cursor 等工具的开发者,市场定位清晰。其最大优势是经过大规模生产环境验证的可靠性。潜在挑战在于,随着 AI 编码能力的快速进化,未来 agent 可能更擅长处理传统 API,这对其\"Skills\"的独特价值构成长期考验。总体而言,这是一款极具前瞻性的基础设施产品,试图定义 AI 时代的后端开发范式。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Agent Bar","tagline":"从菜单栏直接运行 Claude Code","description":"Agent Bar 常驻于菜单栏,为 Claude Code 提供原生图形界面。选择项目、通过语音与其对话、实时查看工具调用流、批准或自动批准操作、追踪 token 成本——所有这些都无需离开桌面环境。","votesCount":123,"commentsCount":1,"createdAt":"2026-02-16T08:01:00Z","website":"https://www.producthunt.com/r/MEJKSMRKJ5QV7Q?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/agent-bar?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/6dff2d5e-7f2e-45b4-8ab3-2248585028dc.jpeg?auto=format","topics":["Mac","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt!我是 Aayush,Agent Bar 的开发者。\n\n几个月来,我每天都在使用 Claude Code——它非常出色,但局限于终端环境使用感觉受限。我希望能够:\n\n- 一键从任何项目文件夹启动会话\n- 通过语音口述提示词,无需全部手动输入\n- 实时查看工具调用流,并进行可视化批准\n- 追踪每次会话消耗的 token 数量和费用\n\n因此,我开发了 Agent Bar——一款原生 macOS 菜单栏应用,将 Claude Code 封装在合适的图形界面中。它基于 SwiftUI 构建(非 Electron,无 Web 视图),因此运行快速、轻量,感觉就像是为 Mac 原生打造。\n\n非常期待听到大家的想法。乐意回答任何问题!","thumbnail":"https://ph-files.imgix.net/10281c82-3f7e-49c5-99c7-35e7d9e9d5bd.png?auto=format","date":"2026-02-16","id":"2026-02-16-6-agent-bar","taglineEn":"Run Claude Code from your menu bar","descriptionEn":"Agent Bar lives in your menu bar and gives you a native GUI for Claude Code. Pick a project, talk to it with your voice, watch tool calls stream in real-time, approve or auto-approve actions, and track token costs — all without leaving your desktop.","topicsEn":["Mac","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Product Hunt! I'm Aayush, the maker of Agent Bar.\n\nI've been using Claude Code daily for months — it's incredible, but living in a terminal felt limiting. I wanted a way to:\n\n- Launch sessions from any project folder in one click\n- Dictate prompts with my voice instead of typing everything\n- See tool calls streaming in real-time and approve them visually\n- Track how many tokens and dollars each session costs\n\nSo I built Agent Bar — a native macOS menu bar app that wraps Claude Code in a proper GUI. It's built with SwiftUI (no Electron, no web views), so it's fast, lightweight, and feels like it belongs on your Mac.\n\nI'd love to hear what you think. Happy to answer any questions!","review":"Agent Bar 精准地解决了 AI 开发者工具在用户体验层面的一个关键痛点:将强大的命令行工具(Claude Code)无缝集成到日常桌面工作流中。其核心价值在于通过原生菜单栏应用的形式,实现了对 AI 编程 agent 的便捷访问和可视化交互。产品创新点在于整合了语音输入、实时工具调用监控、成本追踪等实用功能,将原本分散在终端和浏览器中的操作统一到一个轻量级界面内。目标用户主要是 macOS 平台上的开发者、技术团队和 AI 爱好者,他们需要频繁使用 Claude Code 但希望提升效率。优势在于其原生 SwiftUI 架构带来的性能和系统集成度,避免了 Electron 应用的臃肿感。潜在挑战在于其功能深度可能受限于 Claude Code 本身的能力,且市场定位相对垂直,依赖于特定 AI 模型生态的持续发展。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["生产力与办公","开发者工具","AI 与智能体"]},{"name":"chowder.dev","tagline":"启动 OpenClaw 实例的统一 API","description":"一个 API,完整的 Claw 基础设施。Chowder 是从任何地方部署、管理和与 OpenClaw 实例通信的最快方式。数秒内启动完全隔离的 Claw 实例,将其连接到 11 个消息通道,安装技能,管理身份验证,持久化记忆。所有这些都通过一个与 OpenAI 兼容的统一 API 实现。从零到部署,用时不到一分钟。","votesCount":118,"commentsCount":6,"createdAt":"2026-02-16T08:01:00Z","website":"https://www.producthunt.com/r/O2XPCOWGXMDSZA?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/chowder-2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/4cee03cb-dd68-4054-9b35-6a4adc511716.png?auto=format","topics":["API","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt。最近看到很多初创公司都在基于 OpenClaw 进行开发。\n\n当我尝试使用时,发现在云端设置一个实例比想象中要困难得多……所以我构建了 Chowder。\n\nChowder 是一个统一的 API,用于为自己、团队或用户启动和配置 Claw 实例。\n\n它通过一个简化的 API 提供所有 Claw 功能,从而可以专注于构建其余的基础设施。\n\n文档 -> docs.chowder.dev\n\n享受 Chowder 吧……加油,红袜队!","thumbnail":"https://ph-files.imgix.net/54da4235-643b-4317-b561-b814dd38600c.png?auto=format","date":"2026-02-16","id":"2026-02-16-7-chowder.dev","taglineEn":"Single API for launching OpenClaw instances.","descriptionEn":"One API. Full Claw infrastructure. Chowder is the fastest way to deploy, manage, and talk to your OpenClaw instances — from anywhere. Spin up fully isolated claws in seconds. Connect them to 11 messaging channels. Install skills. Manage auth. Persist memory. All through a single OpenAI-compatible API. From zero to deployed in under a minute.","topicsEn":["API","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey PH.. recently I've been seeing a lot of startups building on OpenClaw\n\nWhen I tried playing around with it it seemed like setting one up on a cloud is a lot harder than it should be.. so I built Chowder\n\nChowder is a single API for you to launch and configure claw instances.. for yourself, your team or your users\n\nIt gives you all the claw functionality through a streamlined api so you can focus on building the rest of your infrastructure\n\nDocs -> docs.chowder.dev\n\nEnjoy the chowder.. GO RED SOX","review":"Chowder.dev 精准地瞄准了 AI 应用开发中的一个关键痛点:复杂 AI 基础设施的快速部署与管理。随着 OpenClaw 这类开源 AI 框架的流行,开发者面临从零搭建、配置和维护的繁琐挑战。Chowder 的核心价值在于将整个 Claw 基础设施抽象为一个统一的、与 OpenAI 兼容的 API,极大降低了使用门槛。其\"一站式\"解决方案覆盖了从实例启动、多通道集成、技能安装到记忆持久化的全生命周期,尤其适合希望快速集成 AI 能力但缺乏底层运维资源的初创团队或个人开发者。产品定位清晰,作为\"开发者工具\"和\"API\"的结合,其创新点在于将基础设施即服务的理念应用于新兴的 AI 代理领域。潜在挑战在于需要紧跟上游 OpenClaw 的更新,并确保其托管服务的稳定性与安全性,以建立开发者信任。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","finance-business"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"MockAPI Dog","tagline":"即时创建模拟 REST 与 LLM API - 免费,无需注册","description":"即时创建免费的模拟 REST API 和 LLM 流式端点。专为前端开发者、测试人员和 AI 构建者设计,无需注册。","votesCount":112,"commentsCount":3,"createdAt":"2026-02-16T08:01:00Z","website":"https://www.producthunt.com/r/ZSRQJDFIG7B4JC?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/mockapi-dog?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/9dff9f63-2ffe-4b79-8152-321dd4ce664f.jpeg?auto=format","topics":["API","开发者工具","人工智能"],"firstComment":"开发者们好!👋\n\n创建 MockAPI Dog 是为了解决开发过程中经常遇到的一个问题:需要那些尚不存在的 API,或者需要快速测试各种奇怪的边界情况和错误。\n\nMockAPI Dog 可以即时创建模拟 REST API,甚至模拟流式 LLM 端点(类似 OpenAI 或 Claude 风格),无需创建账户、编写后端代码或管理密钥!\n\n它完全免费,旨在帮助开发者快速摆脱开发阻塞。\n\n非常期待大家的反馈和功能建议!:)\n\nPS:我没有做任何付费推广,也没有在 Reddit 或 Twitter 上进行随机刷屏。如果大家觉得这个工具有用,希望可以投上一票。","thumbnail":"https://ph-files.imgix.net/47f844b4-db58-45dd-b740-a141f2acb57c.jpeg?auto=format","date":"2026-02-16","id":"2026-02-16-8-mockapi-dog","taglineEn":"Instant mock REST & LLM APIs - free, no signup required","descriptionEn":"Create free mock REST APIs and LLM streaming endpoints instantly. Perfect for frontend devs, testers, and AI builders. No signup required.","topicsEn":["API","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Devs! 👋\n\nI built MockAPI Dog to solve a problem I constantly ran into as a developer: needing APIs that don't exist yet - or needing to test weird edge cases and errors quickly.\n\nMockAPI Dog lets you instantly create mock REST APIs and even mock streaming LLM endpoints (like OpenAI-style or Claude-style) without creating accounts, writing backend code, or managing keys!\n\nIt's completely free and designed to get you unblocked fast.\n\nWould love your feedback and feature ideas! :) \n\nPS: I'm doing zero paid promotions and no random spamming on Reddit or Twitter. I hope people upvote if they find this tool useful.","review":"MockAPI Dog 精准地切入了一个高频且刚性的开发者需求:快速创建模拟 API 以进行前端开发、测试或 AI 应用原型验证。其核心价值在于极致的便捷性——无需注册、无需后端、无需密钥,这与传统需要搭建服务器或依赖复杂配置的 Mock 工具形成鲜明对比。产品创新点在于将模拟 REST API 与模拟 LLM 流式端点整合,顺应了当前 AI 应用开发的浪潮,让开发者能快速测试类似 OpenAI 或 Claude 的接口响应。目标用户明确,包括独立开发者、测试工程师和 AI 应用构建者。其免费模式降低了使用门槛,但长期可持续性可能面临挑战。潜在优势是能极大提升开发效率,成为开发流程中的'瑞士军刀';潜在风险则在于功能深度可能无法满足复杂场景,且免费模式下的服务稳定性与性能保障需要关注。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","finance-business"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Formaly","tagline":"让表单体验如同对话般自然","description":"在几秒钟内创建由 AI 驱动的对话式表单。通过自然语言提示构建表单,通过聊天收集反馈,并即时获取 AI 洞察。","votesCount":202,"commentsCount":20,"createdAt":"2026-02-15T08:01:00Z","website":"https://www.producthunt.com/r/WNGR22YCPX2IAS?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/formaly?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/087aa7b4-7f90-4841-ac6c-150f66c5d7c9.jpeg?auto=format","topics":["即时通讯","数据分析","开发者工具"],"firstComment":"大家好!我是 Arindam,Formaly 的创造者。\n\n之所以构建这个产品,是因为传统的表单已经失效了。发送一份调查问卷,大多数人会直接退出,而完成的人给出的也只是表面答案。传统表单不符合人们自然的沟通方式。\n\nFormaly 将调查转变为由 AI 驱动的对话。用简单的英语描述想要了解的内容,AI 就会生成一份对话式调查。受访者通过聊天界面回答问题,界面会提供智能追问、共情回应以及能自动深入挖掘的上下文感知问题。然后 AI 会分析所有内容,提供真正的洞察,而不仅仅是原始数据。\n\n其独特之处在于:\n- 双模式 — 受访者可在聊天或传统表单之间选择\n- 自适应追问 — 评分低?AI 会自动询问原因。答案模糊?它会进一步探究\n- AI 生成摘要 — 痛点、情感分析和可操作的要点,一键获取\n- 弃填与部分回复追踪 — 精确查看人们在何处、为何放弃填写\n- 随处嵌入 — 在网站上添加脚本标签、分享链接或生成二维码\n- 从 Google Forms、Typeform 和 Tally 导入 — 粘贴 URL,AI 将其转换为对话格式\n- 完整的 REST API — 限定范围的 API 密钥、分页、使用情况仪表板\n- 多语言支持 — AI 将调查翻译成 6 种语言,并进行文化适配\n- 白标主题定制 — 自定义颜色、字体、徽标,并可选择移除品牌标识\n\n采用按需付费的积分制,无需月费订阅。初始提供 50 个免费积分。\n\n这是我的首次产品发布,真诚期待大家就哪些方面有效、哪些需要改进提供诚实的反馈。\n\n很高兴回答任何问题!","thumbnail":"https://ph-files.imgix.net/162eeb1c-07eb-48cf-bed9-e3a9cb294c4d.x-icon?auto=format","date":"2026-02-15","id":"2026-02-15-2-formaly","taglineEn":"Forms that feel like conversations","descriptionEn":"Create AI-powered conversational forms in seconds. Build forms with natural language prompts, collect feedback through chat, and get instant AI insights.","topicsEn":["Messaging","Analytics","Developer Tools"],"firstCommentEn":"Hey everyone! I'm Arindam, the maker of Formaly.\n\nI built this because traditional forms are broken. You send out a survey, most people bounce, and the ones who finish give you surface-level answers. Forms don't match how people naturally communicate.\n\nFormaly turns surveys into AI-powered conversations. Describe what you want to learn in plain English, and AI generates a conversational survey. Respondents answer through a chat interface with smart follow-ups, empathetic responses, and context-aware questions that dig deeper automatically. Then AI analyzes everything and gives you actual insights, not just raw data.\n\nWhat makes it different:\n- Dual mode — respondents choose between chat or traditional form\n- Adaptive follow-ups — low rating? AI automatically asks why. Vague answer? It probes deeper\n- AI-generated summaries — pain points, sentiment analysis, and actionable takeaways in one click\n- Drop-off & partial response tracking — see exactly where and why people abandon\n- Embed anywhere — drop a script tag on your site, share a link, or generate a QR code\n- Import from Google Forms, Typeform & Tally — paste a URL, AI converts it to conversational format\n- Full REST API — scoped API keys, pagination, usage dashboard\n- Multi-language support — AI translates surveys into 6 languages with cultural adaptation\n- White-label theming — custom colors, fonts, logo, and optional branding removal\n\nPay-as-you-go credits, no monthly subscription. 50 free credits to start.\n\nThis is my first launch, I'd genuinely love your honest feedback on what works and what needs improvement.\n\nHappy to answer any questions!","review":"Formaly 敏锐地捕捉到了传统表单工具的核心痛点——互动性差、完成率低、反馈质量浅层。它将 AI 对话能力深度融入表单创建与收集流程,实现了从'单向提问'到'双向对话'的范式转变。其核心创新在于通过上下文感知的智能追问,动态引导受访者提供更深入、更真实的反馈,从而将数据收集过程本身转化为一次有价值的用户体验。产品定位清晰,面向需要高质量用户反馈的研究人员、产品经理和营销人员。其'双模式'设计兼顾了创新与传统习惯,降低了采用门槛。按需付费的积分模式也颇具吸引力。潜在挑战在于,对话式表单的'引导性'与'客观性'之间需要精妙平衡,避免 AI 的追问影响受访者的独立判断。此外,如何将复杂的对话数据有效结构化,并与现有数据分析工作流整合,将是其能否从'有趣工具'升级为'必备平台'的关键。","primaryCategory":"developer-tools","categories":["developer-tools","data-analytics","productivity"],"normalizedTopics":["生产力与办公","数据分析与商业智能","开发者工具","Messaging"]},{"name":"Whyze","tagline":"洞悉用户流失的根本原因,而非仅停留于数据表象","description":"Whyze 运用 AI 分析转化漏斗,解释用户流失的根本原因。它提供的是根源分析而非图表,并在数秒内给出可执行的改进建议。","votesCount":12,"commentsCount":4,"createdAt":"2026-02-15T08:01:00Z","website":"https://www.producthunt.com/r/HTAPUB7J4ZSWXH?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/whyze?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/1e0e8a0a-19b6-4115-a386-e8f16d5a07db.jpeg?auto=format","topics":["SaaS","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt!👋\n\n我是 Timur,Whyze 的创造者。\n\n之所以开发它,是因为我反复目睹同样的困境:产品拥有分析仪表盘,但团队依然无法理解用户为何流失。\n\n漏斗图展示了数字,却无法揭示背后的逻辑。\n因此,我希望打造一款工具,能够解释用户行为背后的原因,并优先指出需要修复的问题。\n\nWhyze 允许上传漏斗数据,并在大约一分钟后获得一份用平实语言撰写的解释报告。\n\n这是首个公开版本,我真诚期待获得大家的真实反馈。\n我将全天在此,回答每一个问题,并快速进行改进。\n\n感谢大家的关注 🙏","thumbnail":"https://ph-files.imgix.net/9648b769-9c8f-47ce-8ba1-8c676d32b63d.png?auto=format","date":"2026-02-15","id":"2026-02-15-9-whyze","taglineEn":"Understand why users leave your product — not just where","descriptionEn":"Whyze uses AI to analyze your conversion funnel and explain why users drop off. Get root causes instead of charts and receive actionable insights in seconds.","topicsEn":["SaaS","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Product Hunt! 👋\n\nI'm Timur, the maker of Whyze.\n\nI built it after repeatedly seeing the same situation: products have analytics dashboards, but teams still don't understand why users leave.\n\nFunnels show numbers, but not reasoning.\nSo I wanted to create a tool that explains the behavioral cause and suggests what to fix first.\n\nWhyze lets you upload funnel data and get a plain‑language explanation in about a minute.\n\nThis is the very first public version, and I'd genuinely love honest feedback.\nI'll be here all day answering every question and improving things quickly.\n\nThank you for checking it out 🙏","review":"Whyze 精准地切入了一个被传统分析工具忽视的深层痛点:数据与洞察之间的鸿沟。许多 SaaS 和产品团队虽然拥有详尽的漏斗数据,却难以将冰冷的数字转化为对用户行为的理解。Whyze 的创新之处在于,它利用 AI 扮演了\"行为分析师\"的角色,不仅定位流失节点,更致力于解释\"为什么\"会发生流失,并提供具体的行动建议。这极大地降低了产品迭代的试错成本,尤其适合缺乏资深数据分析师的中小团队或快速迭代的初创公司。其挑战在于,AI 解释的准确性和深度高度依赖于输入数据的质量和模型对业务场景的理解能力。若能持续优化,Whyze 有望成为连接数据驱动与用户洞察的关键桥梁。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["SaaS","开发者工具","AI 与智能体"]},{"name":"Cline CLI 2.0","tagline":"终端内的并行智能体与无头 CI/CD","description":"Cline CLI 已获得超过 500 万开发者的信赖,它将自主编码能力直接带入了命令行。该工具完全开源,并进行了彻底的重构。核心功能包括并行智能体、适用于 CI/CD 的无头模式,以及支持任何编辑器(如 Zed、Neovim)的 ACP 协议。","votesCount":207,"commentsCount":1,"createdAt":"2026-02-14T08:01:00Z","website":"https://www.producthunt.com/r/JMRLDDLNDPS5XD?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/cline-4?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/db58678c-196e-4fb8-ab72-cd3dfb29022c.png?auto=format","topics":["开源","开发者工具","人工智能","GitHub"],"firstComment":"大家好!\n\nCline CLI 2.0 现已发布。\n\n它将完整的智能体工作流带入了终端。主要更新包括并行智能体(可同时启动多个实例)以及无头模式,该模式允许直接将内容管道化到 CI/CD 工作流中。\n\n它还支持 Agent Client Protocol,因此可以连接到 Neovim 或 @Zed 等编辑器。\n\n此外,@Kimi AI - 其 K2.5 版本目前限时免费使用。\n\n我最喜欢的部分是看到 @sdrzn 演示如何让 ascii 版本的 cline 跟随鼠标移动:\n非常酷,完全值得封装成一个技能:)","thumbnail":"https://ph-files.imgix.net/35bad754-30eb-4182-a5d6-9c7b23219ce6.png?auto=format","date":"2026-02-14","id":"2026-02-14-1-cline-cli-2.0","taglineEn":"Parallel agents & headless CI/CD in your terminal","descriptionEn":"Trusted by 5M+ developers, the Cline CLI brings autonomous coding directly to your command line. Fully open source, redesigned from the ground up. Features parallel agents, headless mode for CI/CD, and ACP support for any editor (Zed, Neovim).","topicsEn":["Open Source","Developer Tools","Artificial Intelligence","GitHub"],"firstCommentEn":"Hi everyone!\n\nCline CLI 2.0 is here.\n\nIt brings the full agentic loop to the terminal. The big updates are parallel agents (spinning up multiple instances) and a headless mode that lets you pipe content directly into CI/CD workflows.\n\nIt also supports Agent Client Protocol, so you can connect it to editors like Neovim or @Zed.\n\nAnd @Kimi AI - Now with K2.5 is free to use for a limited time.\n\nMy favorite part was definitely seeing @sdrzn demo how to make ascii cline follow your mouse:\nSo dope, totally worth wrapping into a skill:)","review":"Cline CLI 2.0 标志着 AI 辅助开发工具向更深层次的集成与自动化演进。其核心创新在于将'智能体'概念从单一交互模式扩展为可并行执行任务的'智能体集群',这极大地提升了处理复杂或多项开发任务的效率。'无头模式'的设计尤为关键,它打通了 AI 编码工具与现有 CI/CD 流水线的壁垒,使 AI 能力能够无缝融入自动化构建、测试和部署流程,这对于追求 DevOps 效率的团队具有显著价值。支持 ACP 协议则体现了其生态友好性,允许开发者在自己偏爱的编辑器(如 Neovim, Zed)中调用其能力。该产品精准定位于追求极致效率和技术深度的开发者群体,其开源属性也利于社区共建。挑战在于,如何平衡智能体的自主性与开发者的控制权,以及确保在复杂 CI/CD 环境中输出的代码质量和安全性。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","Open Source"]},{"name":"OpenBug","tagline":"问题工单进,修复方案出。每个解决方案都在训练下一个。","description":"OpenBug 是一个开源命令行工具,能够将错误工单转化为修复方案。粘贴一个工单,AI agent 便会自动调查日志、阅读代码、跨服务关联信息,并最终交付一个代码差异文件。每个修复方案都会被添加到 git 中的共享操作手册里,团队每解决一个错误,整体能力都会随之提升。","votesCount":90,"commentsCount":1,"createdAt":"2026-02-14T08:01:00Z","website":"https://www.producthunt.com/r/UAVFX45VAUZ4XJ?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/openbug?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/fb23356c-f44b-4bf6-84fd-c19676f4e931.png?auto=format","topics":["开源","开发者工具","人工智能","GitHub"],"firstComment":"大家好,Product Hunt!👋\n\n我们构建 OpenBug,是因为厌倦了重复的调试循环:模糊的工单进来,花费 2 小时复现问题,在日志中搜索,阅读 15 个文件,修复它,然后相关知识就……消失了。\n下个月,队友遇到同类错误,一切又得从零开始。\n\nOpenBug 旨在打破这个循环。它是一个开源命令行工具和图形界面,可以:\n\n1 → 粘贴一个错误工单(或直接描述问题)\n2 → AI agent 开始调查——读取日志、检查代码、跨微服务追踪\n3 → 获得包含修复方案的代码差异文件\n4 → 解决方案被保存到 git 中的操作手册\n\n这个操作手册是关键。团队解决的每个错误,都会让解决下一个错误变得更快。这是一种复利调试,团队的知识真正积累起来,而不是蒸发掉。\n\n整个流程在终端中运行。无需安装 SDK,无需编写配置文件。\n只需运行 npm install -g openbug,并在命令前加上 debug 前缀即可。\n\n项目已在 GitHub 上完全开源(MIT 协议)。\n非常期待大家的反馈,什么样的功能会让它对您的团队更有用?","thumbnail":"https://ph-files.imgix.net/63e8c47d-0b3c-4e6e-a051-f2cd2b991f81.gif?auto=format","date":"2026-02-14","id":"2026-02-14-8-openbug","taglineEn":"Ticket in, fix out. Every solution trains the next one.","descriptionEn":"OpenBug is an open-source CLI that turns bug tickets into fixes. Paste a ticket, and the AI agent investigates your logs, reads your code, correlates across services, and delivers a diff. Every fix adds to a shared runbook in git — so your team gets smarter with every bug solved.","topicsEn":["Open Source","Developer Tools","Artificial Intelligence","GitHub"],"firstCommentEn":"Hey Product Hunt! 👋\n\nWe built OpenBug because we were tired of the same debugging loop: vague ticket comes in, you spend 2 hours reproducing it, grep through logs, read 15 files, fix it, and then the knowledge just… disappears.\nNext month, a teammate hits the same class of bug and starts from zero.\n\nOpenBug fixes that loop. It's an open-source CLI and a GUI where you:\n\n1 → Paste a bug ticket (or just describe the problem)\n2 → The AI agent investigates — reads your logs, inspects your code, traces across microservices\n3 → You get a code diff with the fix\n4 →The solution gets saved to a runbook in git\nThat runbook is the key. Every bug your team solves makes the next one faster. It's compound debugging, your team's knowledge actually accumulates instead of evaporating.\n\nThe whole thing runs in your terminal. No SDK to install, no config files to write.\nnpm install -g openbug and prefix your commands with debug.\n\nIt's fully open-source (MIT) on GitHub. \nWould love your feedback, what would make this useful for your team?","review":"OpenBug 精准地瞄准了软件开发中一个长期存在且成本高昂的痛点:调试知识的流失与重复劳动。它不仅仅是一个 AI 驱动的调试助手,更是一个团队知识管理系统。其核心创新在于将一次性的修复方案转化为结构化的、可复用的\"操作手册\",存储在 git 中,实现了调试经验的\"复利效应\"。这解决了传统调试中\"人走茶凉\"、知识无法有效传承的问题。目标用户显然是开发团队,尤其是采用微服务架构、调试链路复杂的团队。其开源属性和 CLI 优先的设计降低了采用门槛,增强了信任度。潜在挑战在于 AI agent 对复杂、模糊或跨系统问题的理解准确性,以及如何确保生成的\"操作手册\"质量足够高,能够真正指导未来的调试,而非产生误导。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","Open Source"]},{"name":"SnapPoint","tagline":"让系统快速恢复井然有序","description":"一款开源的系统审计工具和包管理器管理器。用于查找幽灵二进制文件、解决 PATH 环境变量冲突,并对开发机器进行深度清理。","votesCount":89,"commentsCount":3,"createdAt":"2026-02-14T08:01:00Z","website":"https://www.producthunt.com/r/6TXHBGVZQ7PAPB?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/snappoint?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/30b5a76d-0904-4141-87d1-1abc93564c17.png?auto=format","topics":["生产力","开源","开发者工具","GitHub"],"firstComment":"大家好,Product Hunt!👋\n\n我是 Alex,很高兴今天能与大家分享 SnapPoint!\n\n灵光乍现的时刻 💡\n\n想象一下这个场景:正在设置一个新的开发项目,输入 python --version,却得到了一个意想不到的版本。检查 PATH 环境变量,发现了三个不同的 Python 安装。一个来自 Homebrew,一个来自两年前随手跟着某个教程安装的,还有一个甚至不记得是什么时候装的。\n\n听起来很熟悉吧?😅\n\n这就是我的崩溃点。经过多年使用 curl | sh 教程、npm 全局安装以及各种\"brew install X\"的快速修复后,我的开发机器已经变成了数字囤积者的天堂。数 GB 的孤立缓存文件、没有任何包管理器认领的幽灵二进制文件,以及足以让我怀疑职业选择的冲突。\n\nSnapPoint 是什么?🛠️\n\nSnapPoint 是一个开源的系统审计工具和包管理器\"管理器\",它能帮助:\n\n- 🔍 追踪每一个全局二进制文件并追溯其来源(Homebrew、NPM、Pip 或手动安装)\n- 👻 清除没有任何包管理器认领的幽灵二进制文件\n- ⚖️ 解决当同一工具存在多个版本时的 PATH 冲突\n- 🩺 诊断系统,查找损坏的符号链接和冗余的软件包\n\n可以把它想象成整个开发机器的 LazyVim——一个为混乱带来秩序的元层。\n\n当前状态 🚀\n\n我们刚刚发布了包含核心发现引擎的 v0.1.0 版本。现在就可以扫描系统,准确查看安装了哪些内容、它们来自何处以及存在哪些冲突。\n\n即将推出:\n- 精美的 TUI 仪表盘(使用 Bubble Tea 构建)\n- 针对流行开发工具的\"配方\"式智能清理\n- 社区快照配置文件——导出并分享你的设置,或采用其他开发者的设置\n\n期待您的反馈!🙏\n\n- 接下来应该支持哪些包管理器?(Cargo、RubyGems、Pacman?)\n- 您在系统维护方面最大的痛点是什么?\n- 有兴趣与社区分享您的\"系统 DNA\"吗?\n\n可以通过以下命令试用:curl -sS https://snappoint.dev/install.sh | sh\n\n感谢查看!很高兴回答任何问题 🚀","thumbnail":"https://ph-files.imgix.net/4424b18a-97d8-4fb5-a9e0-c3d53fb3a81d.png?auto=format","date":"2026-02-14","id":"2026-02-14-9-snappoint","taglineEn":"Make Your System Snap Back Into Alignment","descriptionEn":"Open-source system auditor and package manager manager. Find ghost binaries, resolve PATH conflicts, and deep-clean your dev machine.","topicsEn":["Productivity","Open Source","Developer Tools","GitHub"],"firstCommentEn":"Hey Product Hunt! 👋\n\nI'm Alex, and I'm excited to share SnapPoint with you today!\n\nThe \"Aha\" Moment 💡\n\nPicture this: You're setting up a new dev project, type python --version, and get a version you didn't expect. You check your PATH and find three different Python installations. One from Homebrew, one from a random tutorial you followed 2 years ago, and one you don't even remember installing.\n\nSound familiar? 😅\n\nThat was my breaking point. After years of curl | sh tutorials, npm global installs, and \"just brew install X\" quick fixes, my dev machine had become a digital hoarder's paradise. GBs of orphaned cache files, ghost binaries no package manager claimed, and enough conflicts to make me question my career choices.\n\nWhat is SnapPoint? 🛠️\n\nSnapPoint is an open-source system auditor and package manager \"manager\" that helps you:\n\n- 🔍 Hunt down every global binary and trace its origin (Homebrew, NPM, Pip, or Manual)\n- 👻 Ghost bust orphaned binaries that no package manager claims\n- ⚖️ Resolve PATH conflicts when you have multiple versions of the same tool\n- 🩺 Doctor your system to find broken symlinks and redundant packages\n\nThink of it as LazyVim for your entire dev machine — a meta-layer that brings sanity to the chaos.\n\nCurrent Status 🚀\n\nWe just hit v0.1.0 with the core discovery engine. You can scan your system right now and see exactly what's installed, where it came from, and what conflicts exist.\n\nComing soon:\n- A beautiful TUI dashboard (built with Bubble Tea)\n- Intelligent cleanup with \"recipes\" for popular dev tools\n- Community Snap Profiles — export your setup and share it, or adopt setups from other devs\n\nI'd Love Your Feedback! 🙏\n\n- What package managers should we support next? (Cargo, RubyGems, Pacman?)\n- What's your biggest system maintenance pain point?\n- Any interest in sharing your \"System DNA\" with the community?\n\nTry it out with: curl -sS https://snappoint.dev/install.sh | sh\n\nThanks for checking it out! Happy to answer any questions 🚀","review":"SnapPoint 精准地瞄准了开发者长期面临的一个隐形痛点——开发环境混乱。随着项目增多、工具链复杂化,通过不同包管理器(Homebrew、npm、pip 等)安装的软件、残留的二进制文件和冲突的 PATH 配置会逐渐侵蚀开发效率。SnapPoint 的创新之处在于,它并非另一个包管理器,而是一个\"包管理器的管理器\",提供了一个元视角来审计和治理整个系统。其核心价值在于可视化与自动化清理,将原本需要手动排查的\"技术债\"变得可管理。目标用户是所有需要维护稳定、可复现开发环境的软件工程师,尤其是使用多种编程语言和工具的开发者。开源属性增强了其透明度和社区协作潜力。潜在挑战在于需要持续适配各种包管理器的内部机制,以及如何在执行深度清理时确保不误删关键依赖。","primaryCategory":"developer-tools","categories":["developer-tools","productivity"],"normalizedTopics":["生产力与办公","开发者工具","Open Source"]},{"name":"ZenMux","tagline":"具备自动补偿机制的企业级 LLM 网关","description":"ZenMux 是一款企业级 LLM 网关,通过统一的 API、智能路由以及业界首创的自动补偿机制,为开发者提供简单可靠的 AI 服务。","votesCount":296,"commentsCount":44,"createdAt":"2026-02-13T08:01:00Z","website":"https://www.producthunt.com/r/44T56OQTQPRLSA?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/zenmux-2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/65770414-d455-4728-a571-0fa1ea9f7844.png?auto=format","topics":["API","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt! 👋\n我是 ZenMux 的 CEO,Haize Yu。我们一直专注于构建一款真正能兑现承诺的企业级 LLM 网关。今天终于能向大家展示并期待获得反馈,我感到非常兴奋。\n\n为何要构建这个产品\n扩展 AI 应用不应感觉像是在\"与基础设施搏斗\"。作为构建者,我们厌倦了:\n管理数十个 API 密钥和混乱的计费账户。\n\n生产环境中突发的\"智能下降\"或延迟飙升。\n\n为幻觉输出支付全额费用,却没有任何保障。 😅\n\n我们思考:如果一个网关不仅能路由请求,还能为结果提供保障会怎样?\n\nZenMux 能为技术栈带来什么\n内置模型保险:我们率先为低质量输出或高延迟提供自动积分补偿。我们承担风险,用户无需担忧。\n\n双协议支持:完全兼容 OpenAI 和 Anthropic。可与 Claude Code 或 Cline 等工具开箱即用。\n\n透明的质量评估(HLE):我们定期进行开源的人类最后测试。我们投资于这些基准测试,以确保模型路由的可靠性。\n\n高可用性:多供应商冗余意味着永远不会触及速率限制的天花板。\n\n全球边缘网络:由 Cloudflare 驱动,确保全球范围内的坚如磐石的稳定性。\n\n灵活的定价方案\n构建者计划:可预测的月度订阅,适合稳定开发。\n\n按需付费:无速率限制,无上限。纯粹的稳定性,可随流量自由扩展。只为实际使用量付费。\n\n发布特惠\n增加您的积分!限时活动:充值 100 美元,可获得 10 美元奖励(额外 10%)。\n\n最后一点...\n在使用 LLM 时,您遇到过的最大的\"生产噩梦\"是什么?请在评论区留言——我会全天在线交流!\n\n停止担忧,开始构建。 🚀\nhttps://zenmux.ai","thumbnail":"https://ph-files.imgix.net/c55ed719-4ff3-4ace-ae53-98e4dfeef3a2.jpeg?auto=format","date":"2026-02-13","id":"2026-02-13-2-zenmux","taglineEn":"An enterprise-grade LLM gateway with automatic compensation","descriptionEn":"ZenMux is an enterprise-grade LLM gateway that makes AI simple and assured for developers through a unified API, smart routing, and an industry-first automatic compensation mechanism.","topicsEn":["API","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Product Hunt! 👋\nI'm Haize Yu, CEO of ZenMux. We've been heads-down building an enterprise-grade LLM gateway that actually puts its money where its mouth is. I'm thrilled to finally get your feedback on it today.\n\nWhy we built this \nScaling AI shouldn't feel like \"fighting the infra.\" As builders, we grew tired of:\nJuggling dozens of API keys and messy billing accounts.\n\nSudden \"intelligence drops\" or latency spikes in production.\n\nPaying full price for hallucinations without any fallback. 😅\n\nWe thought: What if a gateway didn't just route requests, but actually insured the outcome?\n\nWhat ZenMux brings to your stack\nBuilt-in Model Insurance: We're the first to offer automatic credit compensation for poor outputs or high latency. We take the risk, so you don't have to.\n\nDual-Protocol Support: Full OpenAI & Anthropic compatibility. Works out-of-the-box with tools like Claude Code or Cline.\n\nTransparent Quality (HLE): We conduct regular, open-source HLE (Human Last Exam) testing. We invest in these benchmarks to keep model routing honest.\n\nHigh Availability: Multi-vendor redundancy means you'll never hit a rate-limit ceiling.\n\nGlobal Edge Network: Powered by Cloudflare for rock-solid stability worldwide.\n\nPricing that scales\nBuilder Plan: Predictable monthly subscriptions for steady development.\n\nPay-As-You-Go: No rate limits, no ceilings. Pure stability that scales freely with your traffic. Only pay for what you actually use.\n\nLaunch Special \nBump up your credits! For a limited time: Top up $100, get a $10 bonus (10% extra).\n\nOne last thing... \nWhat's the biggest \"production nightmare\" you've faced with LLMs? Drop a comment—I'm here all day to chat!\n\nStop worrying. Start building. 🚀\nhttps://zenmux.ai","review":"ZenMux 瞄准了企业在规模化应用大语言模型时面临的核心痛点:成本不可控、服务质量不稳定以及运维复杂。其最大的创新点在于引入了\"模型保险\"和自动补偿机制,这在 LLM 网关领域是一个突破性的价值主张。它将自身定位为结果保障者,而不仅仅是流量路由器,这极大地降低了开发者的试错成本和运营风险。产品通过统一 API、智能路由、多供应商冗余和全球边缘网络,构建了一个高可用、高性能的基础设施层。目标用户明确为需要将 LLM 集成到生产环境的企业开发者和技术团队。其优势在于将复杂的多模型管理、故障转移和成本优化抽象为简单的服务。潜在挑战在于补偿机制的标准定义、与更多模型供应商的深度集成,以及在激烈的基础设施工具市场中建立品牌信任。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","finance-business"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Code Arena","tagline":"一次提示,免费对比多款AI构建的应用","description":"只需一次提示,即可对比顶级AI编码模型的输出结果。Arena能够并排生成多文件应用或网站。可将可直接运行的代码导出至GitHub或集成开发环境。专为开发者打造,完全免费使用。","votesCount":235,"commentsCount":8,"createdAt":"2026-02-13T08:01:00Z","website":"https://www.producthunt.com/r/FOJGPYJLTUQ2GA?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/arena-5?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/eabadd93-652a-4e0a-bd88-e7a988edf636.png?auto=format","topics":["软件工程","开发者工具","人工智能"],"firstComment":"👋 大家好,Product Hunt!我们很高兴在Code Arena中推出多文件应用功能。\n\nAI编码工具一旦项目超出单个文件范围,往往就会失效。我们构建Code Arena的多文件功能正是为了解决这个问题,让开发者能够基于具备生产级结构和可靠性的真实多文件代码库进行生成、对比和迭代。\n\n在Code Arena上,只需一次提示,即可看到多个顶级编码模型并排生成完整项目,然后可将结果下载为ZIP文件,以便本地运行或推送至GitHub。\n\n我们非常期待大家的反馈:\n正在构建什么类型的应用或网站?\n\n对于您的构建,哪些编码模型表现最佳?\n\n我们应该为Code Arena添加哪些额外的模型或功能?\n\n感谢大家的关注 🙏","thumbnail":"https://ph-files.imgix.net/21871a9a-84c9-4f14-baf9-ef1802a9bb10.png?auto=format","date":"2026-02-13","id":"2026-02-13-3-code-arena","taglineEn":"Prompt once. Compare multiple AI-built apps for free.","descriptionEn":"Prompt once and compare outputs from top AI coding models. Arena generates multi-file apps or websites side-by-side. Export ready-to-run code to GitHub or your IDE. Built for developers. Free to use.","topicsEn":["Software Engineering","Developer Tools","Artificial Intelligence"],"firstCommentEn":"👋 Hey Product Hunt! We're excited to launch Multi-File Apps in Code Arena.\n\nAI coding tools often break down once projects go beyond a single file. We built multi-file in Code Arena to solve that, letting developers generate, compare, and iterate on real, multi-file codebases with production-level structure and reliability.\n\nOn Code Arena, you can prompt once and see multiple top coding models generate full projects side-by-side, then download the result as a ZIP to run locally or push to GitHub.\n\nWe'd love your feedback:\nWhat kinds of apps or websites are you building?\n\nWhich coding models performed best for your build?\n\nWhat additional models or features should we add to Code Arena?\n\nThanks for checking it out 🙏","review":"Code Arena精准地切入了一个新兴且关键的开发者痛点:如何高效评估和选择不同的AI编码助手。随着AI代码生成模型(如GPT Engineer、Claude Code等)的激增,开发者面临选择困难,且单文件演示往往无法反映真实项目的复杂性。该产品的核心创新在于\"一次提示,多模型并行生成\",并支持多文件、具备生产级结构的项目对比。这极大地降低了评估成本,使开发者能够直观地比较不同模型在架构设计、代码质量、依赖管理等方面的实际表现。其目标用户是希望利用AI提升开发效率的工程师和团队。潜在优势在于可能成为AI编码工具的\"基准测试平台\",但挑战在于如何保持与快速迭代的模型生态同步,以及如何定义和量化\"最佳\"代码生成结果。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"GPT‑5.3‑Codex‑Spark","tagline":"专为 Codex 实时编码设计的超高速模型","description":"生成速度提升 15 倍,上下文长度达 128k,目前面向 ChatGPT Pro 用户开放研究预览。Codex-Spark 专为交互式工作场景优化,在追求智能的同时,同样重视低延迟。可与模型实时协作,在其工作时随时打断或引导,并通过近乎即时的响应实现快速迭代。由于针对速度进行了调优,Codex-Spark 默认保持轻量级工作风格:仅进行最小化、有针对性的编辑,除非明确要求,否则不会自动运行测试。","votesCount":217,"commentsCount":5,"createdAt":"2026-02-13T08:01:00Z","website":"https://www.producthunt.com/r/G7NS57LWNZ4LB4?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/openai?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/01dc4014-f068-47e2-979d-1049385c3812.png?auto=format","topics":["开发者工具","人工智能","开发"],"firstComment":"看起来像是 Windsurf 的 SWE-1.5 模型的竞争对手——旨在快速修复明显的代码问题,同时避免消耗过多的 token。\n\n智能的成本正在持续下降!","thumbnail":"https://ph-files.imgix.net/f904aec8-e324-4aed-ae3b-ff68795ce44f.png?auto=format","date":"2026-02-13","id":"2026-02-13-4-gpt‑5.3‑codex‑spark","taglineEn":"An ultra-fast model for real-time coding in Codex","descriptionEn":"15x faster generation, 128k context, now in research preview for ChatGPT Pro users. Codex-Spark is optimized for interactive work where latency matters as much as intelligence. You can collaborate with the model in real time, interrupting or redirecting it as it works, and rapidly iterate with near-instant responses. Because it's tuned for speed, Codex-Spark keeps its default working style lightweight: it makes minimal, targeted edits and doesn't automatically run tests unless you ask it to.","topicsEn":["Developer Tools","Artificial Intelligence","Development"],"firstCommentEn":"Seems like a competitor to Windsurf's SWE-1.5 model — aimed at quickly fixing obvious code problems w/o burning excessive tokens. \n\nThe cost of intelligence keeps coming down!","review":"GPT‑5.3‑Codex‑Spark 精准切入 AI 编程辅助工具的核心痛点——响应速度。在实时编码场景中,开发者与 AI 的交互必须是流畅、无延迟的对话,而非单向的等待。该产品通过 15 倍的速度提升和 128k 的超长上下文,将 AI 从\"思考型助手\"转变为\"实时协作者\",允许开发者随时打断和引导,这极大地优化了工作流。其轻量级、最小化编辑的默认风格,也体现了对开发效率和 token 成本的深度考量。目标用户是追求极致效率的 ChatGPT Pro 开发者,尤其是那些需要快速迭代和修复代码的场景。其挑战在于,如何在保持高速响应的同时,不牺牲复杂逻辑推理和代码重构的深度与准确性。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["开发者工具","AI 与智能体","Development"]},{"name":"Visual Editing by DatoCMS","tagline":"无头 CMS 的可视化编辑解决方案","description":"无头 CMS 与可视化编辑之间长期存在着一种爱恨交织的关系。我们的解决方案旨在让开发者能够极其轻松地在 DatoCMS 中实现可视化编辑,使内容编辑者能够无缝获得所见即所得的编辑体验。结合草稿模式和实时更新功能,内容修改变得轻而易举。无需再在记录表单中费力寻找正确的字段。","votesCount":158,"commentsCount":4,"createdAt":"2026-02-12T08:01:00Z","website":"https://www.producthunt.com/r/F5TOBO6AXNZJPL?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/dato-cms?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/25c97ee4-86ab-44d3-9a10-f72bc568b009.png?auto=format","topics":["API","网站构建器","开发者工具"],"firstComment":"大家好,Product Hunt,我是开发者 👋\n\n大约十年前,当无头 CMS 刚刚成为现代 Web 的\"下一代\"架构时,我们开始构建 DatoCMS。其核心理念现已非常成熟:结构化内容、API 优先交付以及前端完全自由。然而,一个弱点始终存在:可视化编辑。我们一直认为,由于无头 CMS 天然具有技术性,编辑者未能充分体验到它能带来的全部价值。\n\n长期以来,无头意味着优秀的开发者体验,但编辑者必须在脑海中将内容和页面映射到模型和区块。多年来,许多平台推出了各自的可视化编辑方案,通常依赖于 iframe、CMS 渲染的预览,或紧密耦合的页面构建器。\n\n今天我们推出 DatoCMS 的可视化编辑功能,这是我们在不破坏无头模型的前提下解决该问题的方案。此功能的主要目标是让开发者能够极其轻松地在 DatoCMS 中实现可视化编辑,从而使编辑者能够尽可能无摩擦地处理网站内容!\n\n我们的方法基于:\n运行实际应用的真实前端预览,而非 CMS 抽象层\n\n内容感知的深度链接,可将任何记录或字段与其在 UI 中的确切使用位置关联起来\n\n与框架无关的设置,适用于现代技术栈(我们为 Next.js、Nuxt、SvelteKit 和 Astro 提供了 SDK),并安全支持草稿、预览环境和生产环境\n\n目标并非将 DatoCMS 转变为可视化页面构建器,而是为缺失的环节添加上下文,同时让开发者完全掌控渲染、数据获取和架构。\n\n此功能是我们多年来收集用户和客户反馈的成果,期待听到大家的想法!我会在评论区,很乐意深入探讨实现细节或权衡取舍。\n\n感谢大家的支持 🧡","thumbnail":"https://ph-files.imgix.net/a87662b8-72b0-45b7-abc8-73fa40a1e493.png?auto=format","date":"2026-02-12","id":"2026-02-12-4-visual-editing-by-datocms","taglineEn":"Visual editing for Headless CMS","descriptionEn":"Headless CMS and Visual Editing have a long-standing love-hate relationship. Our approach to is aimed at making it dead easy for developers to implement Visual Editing in DatoCMS, to let content editors get the WYSIWYG effect seamlessly. Combined with draft mode and real-time updates, making changes is a breeze. No more hunting through record forms to find the right field.","topicsEn":["API","Website Builder","Developer Tools"],"firstCommentEn":"Hi Product Hunt, maker here 👋\n\nWe started building DatoCMS about 10 years ago, when headless CMS was just becoming the \"next\" architecture for the modern web. The core idea's become very well established: structured content, API-first delivery, and full freedom on the frontend. One of the weak spots has always been the same though: visual editing. We always felt that the editors were missing out on what a Headless CMS could do for them because of how technical it has been by nature.\n\nFor a long time, headless meant great DX, but editors had to mentally map content and pages to models and blocks. Over the years, many platforms introduced their own versions of visual editing, often relying on iframes, CMS-rendered previews, or tightly coupled page builders.\n\nToday we're launching Visual Editing for DatoCMS, which is our take on solving that problem without breaking the headless model. Our primary goal with this feature is to make it dead easy for developers to implement Visual Editing in DatoCMS, so editors can work on their websites as frictionlessly as possible!\n\nOur approach is based on:\nReal frontend previews running your actual app, not a CMS abstraction\n\nContent-aware deep links that connect any record or field to its exact usage in the UI\n\nA framework-agnostic setup that works with modern stacks (we have SDKs for Next.js, Nuxt, SvelteKit, and Astro) and supports drafts, preview environments, and production safely\n\nThe goal isn't to turn DatoCMS into a visual page builder. It's to add visual context where it's missing, while keeping developers in full control of rendering, data fetching, and architecture.\n\nThis feature is the result of years of feedback from our users and customers, and we're excited to hear what you think! I'll be around and happy to dive into implementation details or trade-offs in the comments.\n\nThanks for your support 🧡","review":"DatoCMS 推出的可视化编辑功能,精准地解决了无头 CMS 领域长期存在的核心矛盾:开发者追求灵活性与内容编辑者追求易用性之间的冲突。该产品并非简单地将无头 CMS 变回传统页面构建器,而是通过\"内容感知深度链接\"和\"真实前端预览\"等创新技术,在保持 API 优先架构和开发者完全控制权的前提下,为编辑者提供了直观的上下文。其框架无关的 SDK 设计,覆盖了 Next.js、Nuxt 等主流现代技术栈,体现了强大的工程化思维。目标用户是那些希望兼顾开发效率和内容团队协作效率的科技公司或数字产品团队。其优势在于平衡了\"无头\"的架构优势与\"可视化\"的操作便利,潜在挑战在于需要说服开发者接受新的集成工作流,并确保在不同复杂前端架构下的稳定性和性能。","primaryCategory":"developer-tools","categories":["developer-tools","finance-business"],"normalizedTopics":["开发者工具","Website Builder"]},{"name":"Edgee","tagline":"AI 网关,大幅降低 Token 消耗","description":"Edgee 在提示词到达 LLM 提供商之前对其进行压缩,可将 Token 成本降低高达 50%。代码无需改动,Token 用量减少,账单随之降低。","votesCount":158,"commentsCount":47,"createdAt":"2026-02-12T08:01:00Z","website":"https://www.producthunt.com/r/7ZBTMW5E3I2BUU?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/edgee?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/d3121e65-0313-40ee-90c1-15b7c2f0d7c1.jpeg?auto=format","topics":["软件工程","开发者工具","人工智能"],"firstComment":"作为一名独立开发者,总是担心因为 AI 功能突然迎来大量使用而收到天价账单。任何能帮助降低成本并提供使用洞察的工具,都值得欢迎。\n\n从第一天起就使用它,并立即看到价值,这是理所当然的选择。\n祝贺 @sachamorard 团队打造了这款产品💪","thumbnail":"https://ph-files.imgix.net/cea13bd0-7efd-4a1c-b99a-d4cb7b1e4276.png?auto=format","date":"2026-02-12","id":"2026-02-12-5-edgee","taglineEn":"The AI Gateway that TL;DR tokens","descriptionEn":"Edgee compresses prompts before they reach LLM providers and reduces token costs by up to 50%. Same code, fewer tokens, lower bills.","topicsEn":["Software Engineering","Developer Tools","Artificial Intelligence"],"firstCommentEn":"As an indiehacker, I am always afraid of receiving an expensive bill because my AI feature suddenly saw a lot of usage. Anything that can help reduce costs and give me insights into what's going on, is welcome.\n\nIt's no brainer to use it from day 1, and see value right away.\nCongrats @sachamorard team for building this💪","review":"Edgee 精准地瞄准了 AI 应用开发中日益凸显的成本痛点。随着 LLM API 调用成为应用的核心开销,开发者迫切需要在不牺牲功能的前提下优化成本。Edgee 的创新之处在于其作为\"AI 网关\"的定位,通过提示词压缩技术,在请求到达 LLM 之前进行预处理,实现\"代码不变,成本降低\"的承诺。这尤其适合独立开发者和小型团队,他们通常对成本波动更为敏感。其核心价值在于提供了成本的可预测性和控制力,而不仅仅是单纯的降价。潜在挑战在于压缩算法可能对某些复杂提示的语义完整性产生影响,以及需要平衡压缩率与生成质量。该产品在 AI 基础设施工具链中找到了一个关键的细分市场。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Tines ","tagline":"构建跨工作空间集成的智能体与自动化流程","description":"Tines 提供了一个安全、可信、与供应商无关的平台,用于构建、运行和监控智能工作流。","votesCount":269,"commentsCount":28,"createdAt":"2026-02-11T08:01:00Z","website":"https://www.producthunt.com/r/6SD327VZLLSLOP?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/tines?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/127b9457-bed7-441b-a4fd-80fdf982e202.png?auto=format","topics":["开发者工具","人工智能","安全"],"firstComment":"👋 大家好,Product Hunt 社区!我是 Tines 的联合创始人 Thomas Kinsella。\n\n自 2018 年以来,我们一直在构建 Tines,帮助 Canva、Elastic、Dropbox 等公司的安全和 IT 团队,可靠地大规模驱动其最重要的工作流程。\n\n什么是 Tines?\nTines 是首个也是唯一一个智能工作流平台。它并非自动化孤立的步骤,而是让团队能够跨工具、系统和人员端到端地编排工作。Tines 中的工作流结合了确定性逻辑、AI 智能体和人工决策点。其结果是,当输入变化、出现边缘情况或系统演进时,工作流依然能够保持稳定。\n\n为何现在在 Product Hunt 上发布?\nProduct Hunt 是创新者以真实方式尝试、构建和推动工具的地方。我们刚刚迈出了重要一步,旨在让该社区的每个人都能更便捷地使用智能工作流。\n\n今天我们推出了 Starter Edition,这是为小型组织和精干团队提供的一种开始使用 Tines 的新方式。Starter Edition 使得从脆弱的脚本、僵化的集成或业余自动化工具,转向安全、可靠并能随着业务增长而随时扩展的工作流变得更加容易。\n与此同时,Tines 仍然完全具备企业级能力。大型团队继续使用 Tines 来运行高容量、关键任务的工作流,并满足其所需的治理、规模和信任要求。此次发布扩展了团队开始使用的方式,而非改变了 Tines 的构建初衷。\nTines 适合谁\n希望亲身体验构建和启动智能工作流的构建者\n\n编排真实运营工作的安全和 IT 团队\n\n大规模运行工作流的企业\n\n需要一个能伴随自身成长的平台的创新者\n\n为何我们期待您的反馈\n我们相信,智能工作流应该触手可及,让任何负责推动实际工作的人都能使用。我们期待来自社区的反馈,了解 Tines 如何融入您当前的工作流构建,以及您希望它未来如何发展。\n感谢大家的关注。我们很乐意在评论区回答问题!","thumbnail":"https://ph-files.imgix.net/51087750-7a5f-4d3d-9ec1-5678a5f76f16.png?auto=format","date":"2026-02-11","id":"2026-02-11-1-tines-","taglineEn":"Build agents & automations integrated across your workspace","descriptionEn":"Tines offers a secure, trusted, vendor-agnostic platform to build, run, and monitor intelligent workflows.","topicsEn":["Developer Tools","Artificial Intelligence","Security"],"firstCommentEn":"👋 Greetings Product Hunt community! Thomas Kinsella here, co-founder of Tines.\n\nWe've been building Tines since 2018, helping security and IT teams at companies like Canva, Elastic, Dropbox and many more power their most important workflows reliably at scale.\n\nWhat is Tines?\nTines is the first and only intelligent workflow platform. Instead of automating isolated steps, Tines lets teams orchestrate work end to end across tools, systems, and people. Workflows in Tines combine deterministic logic, AI agents, and human decision points.The result is workflows that hold up when inputs change, edge cases appear, or systems evolve.\n\nWhy launch on Product Hunt now?\nProduct Hunt is where innovators go to try, build, and push tools in real-world ways and we've just taken a meaningful step toward making intelligent workflows more accessible to everyone in that community.\n\nToday we're introducing Starter Edition, a new way for smaller organizations and lean teams to get started with Tines. Starter Edition makes it easier to move from brittle scripts, rigid integrations, or hobbyist automation tools to workflows that are secure, reliable, and ready to scale with you as your business grows. \nAt the same time, Tines remains fully enterprise grade. Large teams continue to use Tines to run high-volume, mission-critical workflows with the governance, scale, and trust they require. This launch expands how teams get started, not who Tines is built for.\nWho Tines is for\nBuilders who want hands-on experiencing building and launching intelligent workflows\n\nSecurity and IT teams orchestrating real operational work\n\nEnterprises running workflows at scale\n\nInnovators who want a platform that grows with them\n\nWhy we'd love your feedback\nWe believe intelligent workflows should be within reach for anyone responsible for keeping real work moving. We'd love feedback from this community on how Tines fits into your workflow building today and where you'd like to see it go next. \nThanks for being here with us. We're happy to answer questions in the comments!","review":"Tines 定位为\"首个智能工作流平台\",其核心创新在于将确定性逻辑、AI 智能体与人工决策点深度融合,旨在解决传统自动化工具在灵活性、容错性和端到端编排能力上的不足。产品主要面向安全与 IT 团队,这些领域的工作流通常复杂、多变且对可靠性要求极高。Tines 的优势在于其\"供应商无关\"的平台特性,以及能够适应输入变化和系统演进的稳健性,这对于依赖多工具集成的企业环境至关重要。此次推出 Starter Edition,表明其策略从服务大型企业(如 Canva、Dropbox)向下延伸,意图捕获中小团队和独立构建者市场,这既是扩大用户基数的明智之举,也可能面临来自 Zapier、Make 等更轻量级工具的竞争。潜在挑战在于如何平衡\"企业级\"的复杂功能与\"入门版\"的简易体验,以及如何教育市场理解其与传统 RPA 或低代码平台的区别。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","安全","Security"]},{"name":"Oz by Warp","tagline":"并行运行数百个云端智能体","description":"Oz 是一个云端智能体编排平台。可在几分钟内从 Warp、CLI 甚至手机上启动数百个云端智能体。醒来即可获得生产就绪的 PR。","votesCount":150,"commentsCount":10,"createdAt":"2026-02-11T08:01:00Z","website":"https://www.producthunt.com/r/TTGTMTD4UFS6RZ?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/warp?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/fda435ab-eac7-4b00-a33d-de5c198c21a8.png?auto=format","topics":["软件工程","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt 👋\n\n我是 Zach,Warp 的创始人兼 CEO。我们团队很高兴推出 Oz,这是一个云端智能体编排平台。\n\nOz 使得扩展到数百个云端智能体变得简单,在离开笔记本电脑时也能保持任务运行,并将智能体技能转化为自动化流程。\n\n构建 Oz 的原因及其功能\n\n如今,开发者通常运行 3-5 个本地智能体来修复错误,但一旦试图超越这个数量,问题就开始出现:笔记本电脑达到性能极限,无法查看智能体在做什么,智能体带来的麻烦开始超过其价值。\n\n从任何地方部署智能体:可以通过 Warp 桌面应用、网页端、手机、Warp SDK 甚至 CLI 进行部署。\n\n隔离的云端环境:为智能体设置隔离的云端运行环境,可以索引任意数量的 GitHub 仓库。\n\n在智能体之上构建应用:利用 CLI 和 API 访问权限,构建错误分类系统、事件响应工具或任何需要智能体后端的应用程序。\n\n如果想找一个起点,可以尝试自动化一些小事——那些重复、繁琐但直接的任务,然后观察生产力的复合增长。\n\n我们迫不及待想看到大家的构建成果,并且很好奇社区对于云端智能体是否会成为未来的看法。\n\n欢迎在下方提出任何问题或反馈,我们的工程师会进行回复。✌️","thumbnail":"https://ph-files.imgix.net/43ec376b-a7f0-475a-9df6-ed0a9503e152.png?auto=format","date":"2026-02-11","id":"2026-02-11-7-oz-by-warp","taglineEn":"Run hundreds of cloud agents in parallel","descriptionEn":"Oz is an orchestration platform for cloud agents. Launch hundreds of cloud agents in minutes, from Warp, CLI or even your phone. Wake up to production-ready PRs.","topicsEn":["Software Engineering","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Product Hunt 👋\n\nZach here - Founder and CEO at Warp. Our team is excited to launch Oz, the orchestration platform for cloud agents. \n\nOz makes it easy to scale up to hundreds of cloud agents, keep tasks running when you step away from your laptop, and turn agent skills into agent automations. \n\nWhy we built Oz and what it does\n\nDevelopers today are running 3-5 local agents to fix bugs but once you try to go beyond that, things start to break down: your laptop hits capacity, you can't see what your agents are doing, and agents start to be more trouble than they're worth. \n\nDeploy agents from anywhere: From the Warp desktop app, on the web, your phone, using Warp's SDK, or even the CLI.\n\nIsolated cloud environments: Set up isolated cloud environments for agents to run that can index as many GitHub repositories as you want. \n\nBuild apps on top of agents. Use CLI and API access to build bug triage systems, incident response tools, or any app that needs an agent backend.\n\nIf you're looking for a starting point, try automating something small - a recurring task that's tedious but straightforward and watch your productivity compound.\n\nWe can't wait to see what you build and I'd be curious to hear the community's thoughts on whether they think cloud agents are going to be the future?\n\nFeel free to comment any questions/feedback you have below and one of our engineers will respond. ✌️","review":"Oz by Warp 瞄准了 AI 智能体规模化部署的核心痛点。随着开发者越来越多地使用 AI 智能体处理任务,本地环境的计算资源限制和运维复杂性成为主要瓶颈。Oz 的创新之处在于将智能体运行环境迁移到云端,并提供统一的编排平台,解决了本地部署的容量、可见性和持久性问题。其核心价值在于将智能体从实验性工具转变为可规模化、可集成的生产级组件。目标用户是需要批量运行智能体进行代码审查、错误修复或自动化测试的软件工程师和开发团队。产品优势在于灵活的多端部署方式和隔离的云环境,为构建更复杂的智能体应用提供了基础设施。潜在挑战在于如何平衡云端运行的成本与效率,以及如何确保不同智能体任务之间的安全隔离。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Willow for Developers","tagline":"专为 Cursor 与 AI IDE 打造的语音输入,实现心流编程的最快方式","description":"本次更新显著提升了开发者的语音输入体验。用户可直接对 Cursor、Antigravity 等 AI 集成开发环境进行语音输入,其准确度比内置选项高出三倍。新增的开发者功能包括:用于提供更丰富上下文信息的文件自动标记、内置技术术语和缩写识别(如 SQL、API、REST 等),以及在提示词编辑器中的更快速语音输入。支持 Mac 和 Windows 设备。","votesCount":144,"commentsCount":5,"createdAt":"2026-02-11T08:01:00Z","website":"https://www.producthunt.com/r/273OIILTU3N6V6?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/willow-voice?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/db796002-f784-4f19-a4ca-564bc77cca03.png?auto=format","topics":["生产力","开发者工具","心流编程"],"firstComment":"大家好,Product Hunt!👋\n\n关于心流编程,有一个没人谈论的事实。\n\n现在需要输入的提示词比以往任何时候都多。这些 AI 编程工具非常强大,但它们需要描述复杂的工作流程、精确解释需求并提供丰富的上下文。这需要大量的打字工作。\n\n而打字很慢。对大多数人来说,这实际上是瓶颈。但更大的问题是:打字时会走捷径。因为费力,所以会省略上下文。AI 工具的输出质量完全取决于输入质量,但打字会让人变得懒惰。\n\n通过语音输入,提示词输入速度可提升约 4 倍。因为说话不费力,自然会提供更多细节和上下文。更好的输入等于更好的输出。\n\n语音的速度还能将人带入心流编程时真正期望的沉浸状态。这是在描述需求,而不是在编写语法。这本质上就是一种口语活动。\n\n我们为开发者构建了以下功能:\n\n1) AI IDE 文件自动标记 — Willow 能感知 Cursor、Windsurf 等 AI IDE 中的文件名。通过语音提及文件时,它会自动识别并在提示词编辑器中标记。\n\n2) 变量识别 — Willow 能识别 IDE 中的变量,并在语音输入时正确拼写,确保提示词引用正确的代码。\n\n3) 技术术语理解 — 开箱即用地理解 SQL、API、GraphQL 等专业开发者术语。无需更正。\n\n4) 隐私优先 — 默认符合 SOC 2 和 HIPAA 标准,且不保留任何数据。开发者可以放心使用 Willow。\n\n如果你是开发者,请尝试一下。你将看到编码效率的巨大提升。\n\n衷心感谢所有支持我们之前发布的朋友。势头一直非常强劲,我们很快还会有更多新功能推出!🚀","thumbnail":"https://ph-files.imgix.net/75bede2c-ac00-4f6e-b17d-6cc6187a54ac.png?auto=format","date":"2026-02-11","id":"2026-02-11-8-willow-for-developers","taglineEn":"Dictation for Cursor & AI IDEs, the fastest way to vibe code","descriptionEn":"With this release, Willow has improved the voice dictation experience for developers. You can speak directly to AI IDEs like Cursor, Antigravity, and more with dictation that is 3x more accurate than built-in options. New developer features include: file tagging for richer context, built-in recognition of technical terms and acronyms (SQL, API, REST, etc.), and faster dictation into prompt editors. Works across Mac and Windows devices.","topicsEn":["Productivity","Developer Tools","Vibe coding"],"firstCommentEn":"Hey Product Hunt! 👋\n\nHere's the thing no one talks about with vibe coding.\n\nYou're prompting more than ever. These AI coding tools are incredible, but they need you to describe complex workflows, explain exactly what you want, and give rich context. That's a LOT of typing.\n\nAnd typing is slow. For most people, it's the actual bottleneck. But here's the bigger problem: when you type, you take shortcuts. You skip context because it's effort. The quality of what these AI tools give you is only as good as what you put in, but typing makes you lazy.\n\nBy speaking, you can prompt about 4x faster. You naturally give more detail and context because talking is effortless. Better input = better output.\n\nThe speed of voice also puts you into the flow state you actually want to be in when you're vibe coding. You're describing what you want, not writing syntax. It's naturally a speaking activity.\n\nHere's what we built for developers:\n\n1) AI IDE file auto-tagging — Willow has context awareness of your file names in Cursor, Windsurf, and other AI IDEs. Mention a file by voice, and it automatically recognizes and tags it in the prompt editor.\n\n2) Variable recognition — Willow recognizes variables in your IDE and spells them correctly when you dictate, so your prompts reference the right code.\n\n3) Technical term understanding — Niche developer terms like SQL, API, GraphQL, and more are understood out of the box. No corrections needed.\n\n4) Privacy first — SOC 2 and HIPAA compliant with zero data retention by default. Developers can use Willow without worry.\n\nIf you're a developer, try it out. You will see immense speed gains in your coding.\n\nA huge thank you to everyone who supported our previous launches. The momentum has been incredible, and we have even more coming soon! 🚀","review":"Willow for Developers 精准地切入了一个新兴且关键的开发者痛点:在 AI 辅助编程时代,输入提示词(Prompt)的效率已成为新的瓶颈。产品洞察深刻,指出打字不仅速度慢,更会因\"偷懒\"而牺牲输入质量,从而影响 AI 的输出效果。其核心创新在于将语音输入深度集成到 Cursor 等 AI IDE 的工作流中,通过文件自动标记、变量识别、技术术语理解等专为开发者设计的特性,将语音的\"自然表达\"优势转化为结构化、高精度的代码指令。这不仅提升了输入速度(号称 4 倍),更重要的是通过降低表达成本,鼓励开发者提供更丰富的上下文,从而从根源上提升 AI 协作的产出质量。其定位清晰,面向追求高效和沉浸式\"心流编程\"体验的开发者。潜在挑战在于语音输入在嘈杂环境或需要深度思考时的适用性,以及对复杂逻辑和符号表达的语音转换准确性仍需在实际场景中经受考验。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","ai-agents"],"normalizedTopics":["生产力与办公","开发者工具","心流编程","Vibe coding"]},{"name":"Spawned","tagline":"一体化平台,构建、发布与发现产品","description":"Spawned 是将创意转化为实时产品的平台。只需描述想法,AI 构建器即可在几分钟内交付一个生产就绪的 Web 应用。发布到内置的受众社区,获得点赞、排行榜和实时发现功能。想更进一步?可以添加 Solana 代币,让早期支持者共享成功。像 Lovable 一样构建,像 Product Hunt 一样发布,实现前所未有的增长。","votesCount":189,"commentsCount":14,"createdAt":"2026-02-10T08:01:00Z","website":"https://www.producthunt.com/r/HEPOWQDJSSUVO6?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/spawned?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/f99fb037-66c1-498a-979d-72d4d21abba2.png?auto=format","topics":["开发者工具","人工智能","无代码"],"firstComment":"大家好 👋\n\nSpawned 背后的团队发布过足够多的产品,深知每位创始人都面临的痛苦循环:花费数周构建,选定发布日期,获得一些关注,然后在第二天眼睁睁看着 90% 的流量消失。产品本身没问题,问题在于缺乏分发渠道。他们一直在思考:为什么\"构建\"和\"发布\"仍然是两个完全独立的步骤?为什么在一个工具中构建,却要去别处乞求关注?\n\n于是他们构建了 Spawned。这是一个集构建与发布于一体的平台。用简单的英语描述想法,AI 构建器(底层基于 Claude Opus 4)就会生成一个真正的、生产就绪的 Web 应用。不是落地页,也不是线框图,而是一个拥有 70 多种组件类型、专业设计包且无任何占位符内容的精致产品。每次都能交付干净利落的成品。\n\n但有趣之处在于:发布不会石沉大海。每个项目都会上线到 Spawned 的探索页面,并拥有内置的发现机制:点赞、评论、趋势排名、每日排行榜和实时动态流。从点击发布的那一刻起,发布就拥有了观众。\n\n他们为创作者构建的功能包括:\nAI 构建器:几分钟内将描述转化为实时产品\n\n探索页面:提供趋势、热门和新项目的发现功能\n\n每日排行榜:前三名项目赢得徽章和连胜记录\n\nAI 内容生成器:一键生成推文、主题帖、TikTok 脚本和表情包模板\n\n创作者工作室:包含分析、收入追踪和受众洞察\n\n赏金系统:奖励推荐、内容创作和互动\n\n联盟计划:支持自定义佣金率\n\n代码导出:随时下载项目,拥有全部所有权\n\n以及可选的代币经济。如果想更进一步,可以在绑定曲线上为项目发行 Solana 代币。早期支持者可以以较低价格买入。随着项目成长,代币价格也会相应反映。构建者从每笔交易中获得 0.30% 的收益。这是一种将社区转变为真正利益相关者的方式,但完全是可选的。Spawned 上许多项目发布时并未使用此功能。\n\n他们构建这个平台,是希望有一个能让发布想法和触达用户成为一步操作而非两步的平台。一个发布本身就自带势能的平台。\n\n欢迎尝试,发现问题,告诉他们缺少什么。","thumbnail":"https://ph-files.imgix.net/c183dc8c-7ee9-409c-956f-cca77efa96ee.png?auto=format","date":"2026-02-10","id":"2026-02-10-3-spawned","taglineEn":"Build, launch, and discover products in a single platform","descriptionEn":"Spawned is where ideas become live products. Describe what you want, and our AI builder ships a production-ready web app in minutes. Launch it to a built-in audience with upvotes, leaderboards, and real-time discovery. Want to go further? Add a Solana token so your earliest supporters share in your success. Build like Lovable. Launch like Product Hunt. Grow like nothing else.","topicsEn":["Developer Tools","Artificial Intelligence","No-Code"],"firstCommentEn":"Hey everyone 👋\n\nThe team behind Spawned have launched enough products to know the painful cycle to every founder: spend weeks building, pick a launch day, get some buzz, then watch 90% of your traffic vanish by day two. The product was fine. The distribution just wasn't there. They kept thinking, why are \"building\" and \"launching\" still two completely separate steps? Why build in one tool, then go beg for attention somewhere else?\n\nSo they built Spawned. It's a builder and a launch platform in one. You describe your idea in plain English, and the AI builder (Claude Opus 4 under the hood) generates a real, production-ready web app. Not a landing page. Not a wireframe. A polished product with 70+ component types, professional design packs, and zero placeholder content. It ships clean every time.\n\nBut here's where it gets interesting: you don't launch into a void. Every project goes live on Spawned's explore page with built-in discovery: upvotes, comments, trending rankings, daily leaderboards, and a real-time activity feed. Your launch has an audience from the moment you hit publish.\n\nWhat they built for creators:\nAI builder that turns a description into a live product in minutes\n\nExplore page with trending, top, and new project discovery\n\nDaily leaderboards: top 3 projects win badges and streaks\n\nAI content generator: tweets, threads, TikTok scripts, meme templates in one click\n\nCreator studio with analytics, revenue tracking, and audience insights\n\nBounty system to reward referrals, content creation, and engagement\n\nAffiliate program with customizable commission rates\n\nCode export: download your project anytime, you own everything\n\nAnd optionally, a token economy. If you want to take it further, you can launch your project with a Solana token on a bonding curve. Early supporters buy in at a lower price. As your project grows, the token price reflects that. Builders earn 0.30% on every trade. It's a way to turn your community into genuine stakeholders, but it's completely optional. Plenty of projects on Spawned launch without one.\n\nThey built this because they wanted a platform where shipping an idea and getting it in front of people was one motion, not two. Where the launch itself had momentum built in. \n\nTry it, break it, tell them what's missing.","review":"Spawned 是一款极具野心的产品,它试图从根本上重构从创意到市场验证的整个流程。其核心创新在于将 AI 驱动的无代码构建器与内置的社区发布平台深度融合,解决了独立开发者和初创团队\"构建易、分发难\"的核心痛点。通过集成 Claude Opus 4 等先进模型,它能够将自然语言描述直接转化为功能完备的 Web 应用,大幅降低了产品原型的开发门槛。更关键的是,它内置了类似 Product Hunt 的发现与互动机制(点赞、排行榜、实时动态),为新产品提供了即时的初始流量和反馈循环,有效缓解了\"发布即沉寂\"的尴尬。其引入的可选 Solana 代币经济模型,则为项目提供了将早期社区转化为利益共同体的创新路径,增加了用户粘性和增长动力。目标用户主要是独立黑客、初创团队和希望快速验证想法的创作者。潜在挑战在于,AI 生成应用的深度和定制化程度可能有限,且平台内部的流量竞争可能随着项目增多而加剧。总体而言,Spawned 代表了\"构建即发布\"的新范式,是 AI 时代产品开发工具的一次重要演进。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","social-community"],"normalizedTopics":["开发者工具","AI 与智能体","无代码","No-Code"]},{"name":"Dropstone 3","tagline":"首个多人协作 AI 代码编辑器,现已支持共享会话","description":"Dropstone 是首个多人协作 AI 工作空间。v3.0.5 版本新增了共享会话功能:通过链接即可实时与协作者及 AI agent 共同处理代码。核心特性包括无限上下文(D3 引擎)、持久化记忆与后台 agent 集群。该产品基于原创研究构建,并非简单的封装工具。","votesCount":187,"commentsCount":18,"createdAt":"2026-02-09T08:01:00Z","website":"https://www.producthunt.com/r/EHFWVFR7ZYRWGA?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/dropstone-2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/8dd57d0a-75cf-4eaf-a9dc-a66ce786adf4.png?auto=format","topics":["生产力","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt!👋 我是 Blankline(Dropstone 背后的研究实验室)的开发者之一。\n\n我们注意到 Cursor 和 Claude Code 等工具存在一个关键问题:它们是单机模式。用户只能独自编码。遇到困难时,只能将代码片段粘贴到 Slack 中求助。对于面临\"70% 完成度瓶颈\"的创始人而言,这种孤立无援的状态尤为突出。\n\nDropstone 3 是首个多人协作 AI 工作空间。在今天的版本中,我们正式推出了共享会话功能:\n\n🔗 一键链接:为本地工作空间生成一个专属 URL。\n\n⚡ 即时加入:资深开发者、设计师或客户可立即加入协作。\n\n🧠 共享大脑:所有参与者共享相同的 AI 上下文与实时预览。\n\n这并非简单的封装工具。我们作为研究实验室,构建了专有的底层架构:\n\nD3 引擎:通过虚拟化上下文(50:1 压缩比)实现无限记忆。\n\n地平线模式:后台 agent 集群可在用户休息时异步修复代码缺陷。\n\n研究:我们公开发表所有研究论文(详见 blankline.org/research)。\n\n我们将在评论区实时解答关于压缩架构或\"70% 完成度瓶颈\"的任何问题。期待听到大家的想法!👇","thumbnail":"https://ph-files.imgix.net/ae3ac624-ac12-46b4-8b3a-b26dc42dffeb.png?auto=format","date":"2026-02-09","id":"2026-02-09-4-dropstone-3","taglineEn":"The first multiplayer AI code editor. Now with Share Chat.","descriptionEn":"Dropstone is the first multiplayer AI workspace. v3.0.5 adds Share Chat: send a link to code with humans & agents in real-time. Features infinite context (D3 Engine), persistent memory & background swarms. Built on original research, not a wrapper.","topicsEn":["Productivity","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hi Product Hunt! 👋 I'm one of the makers at Blankline (the research lab behind Dropstone).\nWe noticed a critical problem with tools like Cursor and Claude Code: They are single-player. You code alone. If you get stuck, you paste snippets into Slack. If you're a founder hitting the \"70% wall,\" you're stranded.\nDropstone 3 is the first multiplayer AI workspace. With today's release, we are launching Share Chat:\n🔗 One Link: Generate a URL for your local workspace.\n\n⚡ Instant Join: A senior dev, designer, or client joins instantly.\n\n🧠 Shared Brain: Everyone shares the same AI context and live preview.\n\nThis is not a wrapper. We are a research lab building proprietary infrastructure:\nD3 Engine: Virtualizes context (50:1 compression) for infinite memory.\n\nHorizon Mode: Background agent swarms that fix bugs asynchronously while you sleep.\n\nResearch: We publish our papers openly (check blankline.org/research).\n\nWe're live in the comments to answer questions about our compression architecture or the \"70% wall.\" Let us know what you think! 👇","review":"Dropstone 3 精准切入当前 AI 编程工具的核心痛点——协作缺失。它将 AI 辅助编程从个人效率工具升级为团队协作平台,通过\"共享会话\"功能实现了代码、上下文与 AI agent 的实时同步,这从根本上改变了远程结对编程与代码评审的体验。其技术亮点在于自研的 D3 引擎与后台 agent 集群,前者通过高比率压缩解决了大模型上下文限制的行业难题,后者则实现了异步自动化代码维护。产品定位清晰,面向需要高效协作的开发团队、技术创始人及教育场景。其挑战在于如何平衡功能的复杂性与用户体验的简洁性,以及如何建立足够深的护城河以应对大型 IDE 厂商的跟进。从研究驱动到产品落地的路径,展现了深厚的技术积累。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["生产力与办公","开发者工具","AI 与智能体"]},{"name":"ClawdTalk","tagline":"为 Clawdbot 配备首个电话号码","description":"是时候与 Clawdbot 对话了。ClawdTalk 为 agent 提供一个电话号码,支持从全球任何地方通过电话、短信或 WhatsApp 与其联系。该产品以语音交互为核心,能够进行真实的对话,而不仅限于聊天窗口。其设计注重安全性,agent 只能与用户本人通话和发短信,且设置简单,只需添加电话号码即可开始交谈。每日免费提供 10 分钟语音通话和 10 条消息。让 Clawdbot 随时随地触手可及。由 Telnyx 提供技术支持。","votesCount":169,"commentsCount":16,"createdAt":"2026-02-09T08:01:00Z","website":"https://www.producthunt.com/r/4YBW7TRTW226KW?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/telnyx?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/3d33769e-442e-40d9-b609-d572ecbde2d3.jpeg?auto=format","topics":["消息通讯","开发者工具","人工智能"],"firstComment":"大家好 PH 👋\n\nTelnyx 是 agent 的基础设施,而 ClawdTalk 是为 Clawdbot 赋予语音能力的最快方式。\n\nagent 将获得一个真实的电话号码,无论身处世界何处,都可以通过通话、短信和 WhatsApp 与 bot 交互,无需终端或复杂的用户界面。\n\n欢迎免费试用并分享您的想法!","thumbnail":"https://ph-files.imgix.net/e42b5d5a-a608-4e7b-8e25-84c9fe939255.png?auto=format","date":"2026-02-09","id":"2026-02-09-5-clawdtalk","taglineEn":"Your Clawdbot's first phone number.","descriptionEn":"It's time to talk to your Clawdbot. ClawdTalk gives your agent a phone number so you can call, text or WhatsApp it from anywhere in the world. ClawdTalk is voice-first, so you can have actual conversations instead of being confined to chat windows. It's secure by design, your agent can only call and text you, and it's easy to set up, just add your phone number and start talking. Start free with 10 minutes of voice and 10 messages per day. Your Clawdbot, reachable anywhere. Powered by Telnyx.","topicsEn":["Messaging","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hi PH 👋\n\nTelnyx is the infrastructure for Agents, and ClawdTalk is the fastest way to give your Clawdbot a voice. \n\nYour agent gets a real phone number so you can talk, text, and WhatsApp your bot wherever you are in the world, no terminal or bulky UI needed. \n\nTry it out for free and let us know what you think!","review":"ClawdTalk 将 AI agent 的交互方式从传统的图形界面拓展到了更自然、更普适的语音和电话通道,这是一个重要的范式创新。它解决了当前 AI 交互主要局限于应用内聊天窗口的痛点,通过赋予 agent 真实的电话号码,实现了随时随地的、多模态的(语音、短信、WhatsApp)无缝接入。其核心价值在于降低了 AI 的使用门槛,用户无需打开特定应用即可与 agent 交互,这尤其适合移动场景和即时需求。目标用户包括开发者、企业(用于客服、外呼等场景)以及追求高效交互的普通用户。其挑战在于如何确保语音交互的准确性和上下文理解能力,以及如何平衡免费额度与商业化需求。由 Telnyx 提供通信基础设施,也保证了服务的可靠性和可扩展性。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["消息通讯","开发者工具","AI 与智能体","Messaging"]},{"name":"Axel","tagline":"专为AI编程助手设计的任务管理器","description":"Axel 帮助运行 AI 助手并持续为其提供任务。可以排队工作、分派给合适的助手,并在一个统一的收件箱中审批或拒绝其执行的操作。它是原生 macOS 应用,支持键盘驱动,开箱即用支持 Claude、Codex、OpenCode 和 Antigravity。旨在帮助开发者更快地交付项目 🚀","votesCount":204,"commentsCount":17,"createdAt":"2026-02-08T08:01:00Z","website":"https://www.producthunt.com/r/I2ZIG6AUSZXAES?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/axel-3?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/6d89bac4-0517-4a84-b67c-9411542faa97.png?auto=format","topics":["任务管理","开源","开发者工具"],"firstComment":"@Axel 是一款专为 AI 编程助手设计的、制作精良的任务管理器。它是原生 macOS 应用,专为速度而打造(即键盘驱动),开箱即用支持 Claude、Codex、OpenCode 和 Antigravity。\n\n如果正在与多个编程助手协同工作,这可能会成为最喜爱的新工具。\n\n哦,对了,它是开源的:查看源代码\n\n祝项目顺利交付!","thumbnail":"https://ph-files.imgix.net/52c33733-8013-4ecb-a637-66ec3186135d.png?auto=format","date":"2026-02-08","id":"2026-02-08-2-axel","taglineEn":"Todoist for AI coding agents","descriptionEn":"Axel helps you run AI agents and keep them fed. Queue up work, dispatch to the right agent, and approve or deny actions from one inbox. It's native macOS, keyboard-driven, and works with Claude, Codex, OpenCode, and Antigravity out of the box. We hope it helps you ship faster 🚀","topicsEn":["Task Management","Open Source","Developer Tools"],"firstCommentEn":"@Axel is a beautifully-crafted task manager for AI coding agents. Native for macOS and built for speed (read: keyboard-driven), Axel works with Claude, Codex, OpenCode, and Antigravity out of the box.\n\nIf you're working with multiple coding agents, this might be your new favorite tool.\n\nOh and it's open-source: View source code\n\nHappy shipping!","review":"Axel 精准切入了一个新兴且关键的细分市场:AI 编程助手的工作流管理。随着开发者越来越多地依赖多个 AI 助手(如 Claude、Codex)进行编码,如何高效地给这些\"数字员工\"分配任务、管理队列并审核其输出,成为了新的效率瓶颈。Axel 的定位类似于\"AI 助手的 Todoist\",其核心价值在于提供了一个集中式的指挥中心。原生 macOS 和键盘驱动的设计强调了其面向专业开发者的效率导向。开源属性则有助于建立社区信任并加速生态集成。其挑战在于,随着 AI 助手能力的快速演进和交互模式的多样化,Axel 需要持续迭代以保持其管理范式的有效性和扩展性。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","ai-agents"],"normalizedTopics":["生产力与办公","开发者工具","Task Management","Open Source"]},{"name":"Snap","tagline":"为开发者打造的悬浮工具坞","description":"Snap 是一款专为 Cursor 和 Claude Code 设计的悬浮工具坞。它集成了观看生产力短视频、截图、语音转文字、生成与优化提示词、复制控制台错误、可视化编辑、网页预览以及自定义操作按钮等多种功能。","votesCount":147,"commentsCount":5,"createdAt":"2026-02-08T08:01:00Z","website":"https://www.producthunt.com/r/C3L3BTA3YI6VKC?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/snap-8?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/63754614-cc03-457e-a489-e9ffacb7e446.png?auto=format","topics":["设计工具","生产力","开发者工具"],"firstComment":"开发这个工具是因为厌倦了频繁使用 Alt+Tab 切换窗口。现在所有功能都集成在一个工具坞里。欢迎试用,并告诉我你希望添加什么功能 🤙","thumbnail":"https://ph-files.imgix.net/71a6a9d6-3adb-48f3-a34a-ebad8cc44d56.png?auto=format","date":"2026-02-08","id":"2026-02-08-4-snap","taglineEn":"The floating dock for developers","descriptionEn":"Snap is a floating dock for Cursor and Claude Code. Watch productivity reels, take screenshots, speech to text, generate and optimize prompts, copy console errors, visual editing, preview web, and custom action buttons.","topicsEn":["Design Tools","Productivity","Developer Tools"],"firstCommentEn":"built this because i kept alt-tabbing my life away. now everything lives in one dock. try it and lmk what you'd add 🤙","review":"Snap 精准地捕捉到了开发者在 AI 编程助手(如 Cursor、Claude Code)使用过程中的一个核心痛点——频繁的上下文切换。它将一系列高频但零散的辅助功能(截图、语音输入、提示词优化、错误复制等)整合进一个始终悬浮的轻量级工具坞中,实现了\"功能随用随取\",而非\"用户四处寻找功能\"。这种设计理念极大地优化了工作流,减少了打断,将注意力重新聚焦于核心的编码任务上。其创新点在于将\"工具聚合\"与\"AI 编程环境\"深度绑定,而非做成一个通用型工具,这使得其功能更具针对性和实用性。目标用户明确为使用现代 AI 辅助编程工具的开发者。潜在挑战在于如何平衡功能的丰富性与界面的简洁性,以及如何适应不同开发者的个性化工作习惯。","primaryCategory":"developer-tools","categories":["developer-tools","design-creative","productivity"],"normalizedTopics":["设计、图片与视频","生产力与办公","开发者工具"]},{"name":"Nativeline","tagline":"用 AI 构建原生的 Swift iPhone、iPad 和 Mac 应用","description":"Nativeline 是首个在一个平台上为 iPhone、iPad 和 Mac 构建原生应用的 AI 平台。其他工具仅止步于 iPhone,且大多输出的是网页封装应用。Nativeline 则为每一个苹果平台构建真正的原生 Swift 应用:拥有菜单和多窗口的 Mac 应用、充分利用全屏的 iPad 应用,以及体验原汁原味的 iPhone 应用。选择平台,描述想法,即可发布至 App Store。苹果生态系统,就此解锁。","votesCount":107,"commentsCount":12,"createdAt":"2026-02-07T08:01:00Z","website":"https://www.producthunt.com/r/YDAU4W2J76OCWI?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/nativeline?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/f3255801-2acf-4f47-afbc-1323292a1578.png?auto=format","topics":["开发者工具","人工智能","科技"],"firstComment":"大家好,Product Hunt,我是 Nativeline 的创始人 Kane。\n\n当前 AI 应用构建工具存在以下问题:\n\n❌ 大多数仅支持构建 iPhone 应用\n❌ 所谓的\"iPad 支持\"只是拉伸的 iPhone 应用,效果糟糕\n❌ Mac 应用?基本不可能。过于复杂,无人涉足\n❌ 而且它们输出的多数是网页封装应用,并非真正的原生应用\n\n与此同时:\n\n→ Mac 应用极具价值。菜单栏工具、生产力应用、SaaS 工具。但实际构建一个?Xcode 感觉像驾驶舱,AppKit 令人困惑,大多数人选择放弃。\n\n→ iPad 拥有大屏幕和强大性能。但每个 AI 工具都把它当作大号手机对待。\n\n因此,我们构建了 Nativeline 来解决这些问题。\n\n✅ 选择平台:iPhone、iPad 或 Mac\n✅ 用简单英语描述想法\n✅ 获得真正的原生 Swift 代码,而非网页封装\n✅ 发布至 App Store\n\n拥有真实菜单和窗口的 Mac 应用。为全屏设计的 iPad 应用。体验恰到好处的 iPhone 应用。\n\n一个平台。苹果生态系统。\n\n期待听到大家的想法和反馈。","thumbnail":"https://ph-files.imgix.net/38d27275-3f2a-4837-97aa-78ec98793167.png?auto=format","date":"2026-02-07","id":"2026-02-07-5-nativeline","taglineEn":"Build native Swift iPhone, iPad, and Mac apps with AI","descriptionEn":"Nativeline is the first AI platform that builds native apps for iPhone, iPad, and Mac, all in one place. Other tools stop at iPhone. Most output web wrappers. Nativeline builds real native Swift for every Apple platform. Mac apps with menus and multiple windows. iPad apps that use the full screen. iPhone apps that feel like they belong. Choose your platform. Describe your idea. Ship to the App Store. The Apple ecosystem. Unlocked.","topicsEn":["Developer Tools","Artificial Intelligence","Tech"],"firstCommentEn":"Hey Product Hunt, Kane here, founder of Nativeline.\n\nHere's the problem with AI app builders right now:\n\n❌ Most only build for iPhone\n❌ \"iPad support\" = stretched iPhone app that looks like garbage\n❌ Mac apps? Basically impossible. Too complex, no one touches it\n❌ And most of what they output is web wrappers anyway, not real native apps\n\nMeanwhile:\n\n→ Mac apps are incredibly valuable. Menu bar tools, productivity apps, SaaS utilities. But actually building one? Xcode feels like a cockpit. AppKit confusion. Most people give up.\n\n→ iPad has a massive screen and real power. But every AI tool treats it like a big phone.\n\nSo we built Nativeline to fix this.\n\n✅ Choose your platform, iPhone, iPad, or Mac\n✅ Describe your idea in plain English\n✅ Get real native Swift, not a web wrapper\n✅ Ship to the App Store\n\nMac apps with real menus and windows. iPad apps designed for the full screen. iPhone apps that feel right.\n\nOne platform. The Apple ecosystem.\n\nWould love to hear your thoughts and feedback.","review":"Nativeline 精准地切入了一个被现有 AI 应用构建工具忽视的蓝海市场:跨苹果生态的原生应用开发。当前多数工具仅聚焦于移动端,且输出多为网页封装,牺牲了原生应用的性能和体验。Nativeline 的核心创新在于,它承诺为 iPhone、iPad 和 Mac 三大平台生成真正的原生 Swift 代码,这直接解决了开发者,尤其是独立开发者和小团队,面对不同平台(特别是复杂的 Mac 应用开发)时的高门槛和碎片化问题。其目标用户是希望快速验证想法、构建跨平台工具或 SaaS 产品的创业者、产品经理和独立开发者。优势在于\"一站式\"和\"真原生\",有望大幅缩短开发周期。潜在挑战在于生成代码的质量、可维护性,以及如何应对苹果平台(如 SwiftUI、AppKit)的复杂性和频繁更新。若能稳定交付高质量代码,它将成为连接创意与苹果生态的高效桥梁。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","social-community"],"normalizedTopics":["开发者工具","AI 与智能体","社交、社区与内容","Tech"]},{"name":"Developer Docs Audit","tagline":"提升LLM可见度、注册量与用户激活率","description":"通过分析开发者文档,获取可执行的洞察,以提升LLM可见度、免费注册量和用户激活率。分析基于120多份顶级开发者工具文档。","votesCount":103,"commentsCount":2,"createdAt":"2026-02-07T08:01:00Z","website":"https://www.producthunt.com/r/5BE5SXMNRA2RWF?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/nakora?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/73019a54-15cc-434a-8610-1358b3958a50.png?auto=format","topics":["营销","SEO","开发者工具"],"firstComment":"太棒了!看起来很多发现与我们在GitBook的《文档现状报告》中看到的一致:https://www.stateofdocs.com/","thumbnail":"https://ph-files.imgix.net/75eba78b-c98a-4a75-b041-03f26c7a2748.png?auto=format","date":"2026-02-07","id":"2026-02-07-7-developer-docs-audit","taglineEn":"Increase LLM visibility, signups and activated users","descriptionEn":"Get actionable insights to increase LLM visibility, free signups and activated users through your developer documentation. Based on 120+ top devtool docs.","topicsEn":["Marketing","SEO","Developer Tools"],"firstCommentEn":"Awesome! Looks like a lot of the same findings we saw at GitBook with the State of Docs report: https://www.stateofdocs.com/","review":"Developer Docs Audit 精准地瞄准了开发者工具(DevTool)领域一个关键但常被忽视的增长杠杆——技术文档。对于SaaS和API产品而言,文档不仅是使用指南,更是重要的获客与激活渠道。该产品通过分析120多份顶级文档,将最佳实践数据化,帮助产品团队优化文档结构、关键词布局和转化路径,从而直接提升LLM(此处指大语言模型)索引的可见度、免费注册转化率和用户激活率。其核心价值在于将文档从成本中心转变为增长引擎,目标用户明确为面向开发者的B2B产品营销和增长团队。潜在挑战在于如何将通用洞察与不同产品、技术栈的具体语境相结合,实现个性化的优化建议。","primaryCategory":"growth-sales","categories":["growth-sales","developer-tools","ai-agents"],"normalizedTopics":["营销、增长与销售","开发者工具"]},{"name":"GitBoard","tagline":"GitHub Projects 的 macOS 菜单栏应用","description":"一款专为 GitHub Projects 设计的原生 macOS 菜单栏应用。支持在菜单栏快速预览、查看完整看板视图、按状态筛选、搜索议题、分配用户以及创建新议题。","votesCount":99,"commentsCount":2,"createdAt":"2026-02-07T08:01:00Z","website":"https://www.producthunt.com/r/EN3OVEMYNYEFBW?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/gitboard?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/2e67dc0f-1ec4-4303-b28a-d2749f05cb11.png?auto=format","topics":["开发者工具","GitHub","菜单栏应用"],"firstComment":"大家好,Product Hunt!几天前我开始使用 GitHub Projects,希望能不访问 GitHub 网站就能追踪项目进展。\n\n我的 openclaw AI agent 也是项目的协作者,会处理分配给它的议题。因此我需要查看 AI 正在处理什么,并在完成后获得通知。\n\n功能特性:\n— 菜单栏访问 — 点击图标即可查看看板\n— 状态筛选 — 在待办、进行中、已完成之间切换\n— 搜索议题 — 按标题、编号或 @分配人 搜索\n— 快速创建 — 输入 > 即可内联创建议题\n— 分配用户 — 右键点击可分配给自己或他人\n— 完整看板窗口 — 在列之间拖放议题\n— 状态通知 — 议题状态变更时获得通知\n— GitHub CLI 认证 — 无需 API 令牌","thumbnail":"https://ph-files.imgix.net/e1bae128-ad6c-4269-96de-91b5c8a20269.png?auto=format","date":"2026-02-07","id":"2026-02-07-8-gitboard","taglineEn":"Menubar mac app for Github Projects","descriptionEn":"A native macOS menu bar app for GitHub Projects. Quick view in menubar, full kanban board view, filter by status, search issues, assign users, and create new ones.","topicsEn":["Developer Tools","GitHub","Menu Bar Apps"],"firstCommentEn":"Hey Producthunt, I started using Github projects few days ago and I wanted to keep track of things without having to go to github website.\n\nMy openclaw ai agent is also a collaborator in my projects and works on issues assigned to it. So I needed to see what AI is working on and get notified when its done as well.\n\nFeatures:\n— Menu bar access — click the icon, see your board\n— Status filtering — switch between Todo, In Progress, Done\n— Search issues — by title, number, or @assignee\n— Quick create — type > to create issues inline\n— Assign users — right-click to assign yourself or others\n— Full kanban window — drag and drop between columns\n— Status notifications — know when issues move\n— GitHub CLI auth — no API tokens needed","review":"GitBoard 精准地切入了一个细分但高频的使用场景:为 GitHub Projects 提供轻量、即时的桌面访问入口。其核心价值在于将项目管理从浏览器标签页解放出来,通过 macOS 菜单栏实现零干扰的快速查看与操作,极大提升了开发工作流的流畅度。产品巧妙地将看板的核心功能(筛选、搜索、分配、创建)浓缩于菜单栏界面,同时保留了完整的拖拽式看板视图作为补充。其支持 GitHub CLI 认证的特性降低了使用门槛,而提及的 AI agent 协作与状态通知功能,则暗示了产品正试图融入日益普及的 AI 辅助开发范式。目标用户明确为重度使用 GitHub Projects 进行任务管理的开发者或团队。潜在挑战在于其功能深度与 GitHub 官方客户端或网页端的对比,以及如何平衡菜单栏应用的简洁性与功能的完备性。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","data-analytics"],"normalizedTopics":["开发者工具","生产力与办公","Menu Bar Apps"]},{"name":"Claude Opus 4.6","tagline":"Claude 最先进的模型,专为智能体任务打造","description":"Claude Opus 4.6 是 Claude 迄今为止能力最强的模型,专为深度推理、长时间运行的智能体任务以及大型代码库而构建。它拥有 100 万 token 的上下文窗口,具备自适应思维和改进的规划能力,在编码、分析、研究和实际工作中均能提供最先进的性能表现。","votesCount":465,"commentsCount":22,"createdAt":"2026-02-06T08:01:00Z","website":"https://www.producthunt.com/r/S43XIOYZUO4TJS?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/anthropic-5?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/1285a778-84a8-48b3-b27b-fa4ae88bbbd5.webp?auto=format","topics":["生产力","开发者工具","人工智能"],"firstComment":"大家好 👋\n分享 Claude Opus 4.6,这是 Claude 最新且能力最强的模型。专为大型代码库、长时间运行的智能体工作流和深度推理而构建。它能处理海量上下文,行动前进行规划,并保持长期可靠性。\n\n期待大家的想法。","thumbnail":"https://ph-files.imgix.net/00b39dff-fb57-4e3d-97eb-f747b25b4497.jpeg?auto=format","date":"2026-02-06","id":"2026-02-06-0-claude-opus-4.6","taglineEn":"Claude's most advanced model for agentic tasks","descriptionEn":"Claude Opus 4.6 is Claude's most capable model yet, built for deep reasoning, long-running agentic tasks, and large codebases. With a 1M token context window, adaptive thinking, and improved planning, it delivers state-of-the-art performance across coding, analysis, research, and real-world work.","topicsEn":["Productivity","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey everyone 👋\nSharing Claude Opus 4.6, Claude's newest and most capable model. Built for large codebases, long-running agent workflows, and deep reasoning. It handles huge context, plans before acting, and stays reliable over time. \n\nWould love your thoughts.","review":"Claude Opus 4.6 标志着大模型从通用对话向复杂、长程、自主任务执行的范式转变。其核心价值在于将'智能体'(agent)能力作为首要设计目标,通过 100 万 token 的超长上下文、自适应思维和改进的规划机制,直接瞄准了大型代码库分析、自动化工作流和深度研究等专业场景。这一定位使其与侧重创意或即时问答的模型形成了差异化竞争。目标用户显然是高级开发者、研究团队和企业级解决方案构建者,他们需要模型不仅能理解指令,更能自主拆解复杂问题、制定长期计划并可靠执行。其面临的挑战在于,如何在实际应用中验证其'长时间运行'的稳定性,以及如何平衡强大的自主能力与必要的可控性。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["生产力与办公","开发者工具","AI 与智能体"]},{"name":"BetterBugs MCP","tagline":"跨工具提供完整错误上下文,实现更优调试","description":"AI 能够出色地编写代码,但在调试时却如同盲人摸象。它无法看到应用状态、日志或用户操作,导致开发者需要花费大量时间解释问题。BetterBugs MCP 为 AI 提供完整的上下文,使其能够即时修复错误。","votesCount":231,"commentsCount":21,"createdAt":"2026-02-06T08:01:00Z","website":"https://www.producthunt.com/r/X2TR4LSMBXWNTD?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/betterbugs-io?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/c9781a84-d87a-41a6-bdb9-108f14b3dba8.png?auto=format","topics":["Chrome 扩展","开发者工具","Vibe coding"],"firstComment":"👋 朋友们好!\n我是 BetterBugs 的创始人 Nishil。\n\n最初构建这个产品时,目标很简单:捕获工程师调试所需的一切信息,避免无休止的来回沟通。\n\n但随着 AI 开发工具逐渐融入日常工作流,我注意到一个更大的问题:AI 工具虽然聪明,但它们是\"盲\"的。它们只能看到粘贴进去的内容,而无法了解应用的实际运行状态。\n\n因此,我们在 BetterBugs 之上构建了一个 MCP 服务器。它将完整的错误上下文直接暴露给 AI 开发工具,使 AI 能够分析真实用户行为、理解故障原因,甚至提出修复建议,整个过程无需任何复制粘贴。\n\n今天我们发布的功能包括:\n✅ 原生 MCP 服务器集成\n✅ 兼容 @Cursor、@Claude、@VS Code、@Windsurf\n✅ 自动捕获:会话回放、控制台日志、网络追踪、用户操作\n✅ AI 即时获取完整的结构化上下文\n✅ 零手动复制/粘贴\n\n流程:发现错误 → 捕获完整上下文 → 通过 MCP 连接 AI 开发工具 → 即时解决错误\n\n我们将全天在线,期待与大家交流学习 🙌\n欢迎访问 betterbugs.io","thumbnail":"https://ph-files.imgix.net/cc640a17-ce3d-4206-98a4-f1297b357289.png?auto=format","date":"2026-02-06","id":"2026-02-06-2-betterbugs-mcp","taglineEn":"Full bug context across all your tools for better debugging","descriptionEn":"AI can write code brilliantly but debugs blindly. It can't see your app, logs, or what users did, so you waste time explaining. BetterBugs MCP gives AI complete context to fix the bugs instantly.","topicsEn":["Chrome Extensions","Developer Tools","Vibe coding"],"firstCommentEn":"👋 Hey friends!\nI am Nishil, founder of BetterBugs. \n\nWhen I first built it, my goal was simple: capture everything engineers need to debug bugs without endless back-and-forth. \n\nBut as AI developer tools started becoming part of everyday workflows, I noticed a bigger problem: AI tools are smart, but they're blind. They only see what you paste into them, not how your app actually behaves.\n\nSo we built an MCP server on top of BetterBugs. It exposes full bug context directly to AI developer tools, so they can analyze real user behavior, understand failures, and even suggest fixes, without copy-pasting anything.\n\nWhat we're launching today:\n✅ Native MCP server integration \n✅ Works with @Cursor, @Claude, @VS Code, @Windsurf \n✅ Auto-captures: session replay, console logs, network traces, user actions \n✅ AI gets complete structured context instantly \n✅ Zero manual copy/paste\n\nFind a bug → Capture complete context → Connect the AI devtool with MCP → Resolve bug instantly\n\nWe'll be here all day - excited to learn from you 🙌\nVisit us at betterbugs.io","review":"BetterBugs MCP 精准地击中了当前 AI 辅助开发流程中的一个关键痛点:上下文缺失。虽然 AI 编码工具能力强大,但它们在调试环节往往因无法获取应用运行时状态(如用户操作序列、网络请求、控制台日志)而显得力不从心,导致开发者仍需花费大量时间手动收集和描述问题。该产品通过构建 MCP 服务器,将自动捕获的完整错误上下文(会话回放、日志、追踪)结构化地提供给 AI 工具,实现了从\"盲调\"到\"可视调试\"的跨越。其核心价值在于弥合了 AI 的代码生成能力与实际问题诊断之间的鸿沟,极大提升了调试效率。目标用户是重度依赖 AI 进行开发的工程师和团队。潜在挑战在于如何平衡数据捕获的全面性与性能开销,以及确保与日益增多的 AI 开发工具和 IDE 的兼容性。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","ai-agents"],"normalizedTopics":["Chrome 扩展","开发者工具","Vibe coding","Chrome Extensions"]},{"name":"Voxtral Transcribe 2 by Mistral","tagline":"实时语音转文字,支持说话人分离","description":"Voxtral Transcribe 2 提供超快速、高精度的语音转文字服务,具备实时转录和说话人分离功能。专为实时应用、语音智能体和会议场景构建,支持 13 种语言、词级时间戳,并采用隐私优先的部署方案。所有功能均以行业领先的速度和成本提供。","votesCount":210,"commentsCount":3,"createdAt":"2026-02-05T08:01:00Z","website":"https://www.producthunt.com/r/PB6SQEWZXZELHZ?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/mistral-7b?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/de496245-d219-4db6-ac1f-017ffbd66896.png?auto=format","topics":["Android","开发者工具","人工智能","音频"],"firstComment":"大家好 👋\n很高兴分享 Voxtral Transcribe 2!这是一款具备实时转录和说话人分离功能的超快速语音转文字工具。专为语音智能体、会议和实时应用构建,具备低于 200 毫秒的延迟、高精度和强大的多语言支持。","thumbnail":"https://ph-files.imgix.net/296959f2-f1f5-408c-803c-58b33e049208.png?auto=format","date":"2026-02-05","id":"2026-02-05-3-voxtral-transcribe-2-by-mistral","taglineEn":"Real-time speech-to-text with speaker diarization","descriptionEn":"Voxtral Transcribe 2 delivers ultra-fast, highly accurate speech-to-text with real-time transcription and speaker diarization. Built for live apps, voice agents, and meetings, it supports 13 languages, word-level timestamps, and privacy-first deployment All at industry-leading speed and cost.","topicsEn":["Android","Developer Tools","Artificial Intelligence","Audio"],"firstCommentEn":"Hey everyone 👋\nExcited to share Voxtral Transcribe 2! Ultra-fast speech-to-text with real-time transcription and speaker diarization. Built for voice agents, meetings, and live apps, with sub-200ms latency, high accuracy, and strong multilingual support.","review":"Voxtral Transcribe 2 瞄准了实时语音处理市场的核心需求,将高精度转录与说话人分离技术结合,解决了会议记录、实时字幕和语音交互应用中的关键痛点。其低于 200 毫秒的延迟和 13 种语言支持,使其在跨国协作、多语言会议等场景中具备显著优势。产品定位明确,面向开发者、企业会议系统和实时应用构建者,通过隐私优先的部署方案满足了企业对数据安全日益增长的要求。创新点在于将行业领先的速度与成本控制相结合,挑战可能来自现有巨头(如 OpenAI Whisper)的竞争,以及在不同口音、背景噪音环境下保持高精度的技术难度。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","design-creative"],"normalizedTopics":["硬件、移动与平台","开发者工具","AI 与智能体","设计、图片与视频"]},{"name":"Miro MCP","tagline":"将代码转化为可视化文档,将白板内容转化为代码","description":"AI 编程助手现在可以读取 Miro 白板内容。• 代码 → 可视化文档:在代码仓库中打开 AI 工具,询问\"在 Miro 上记录这个\",即可获得架构图、流程图、数据模型。• 白板内容 → 代码:AI 读取产品需求文档、规格说明、图表、流程图、原型、决策,并生成符合计划的代码。• 兼容工具:Cursor、Claude Code、Windsurf、VSCode + Copilot、Replit。• 2 分钟完成设置,支持 OAuth。目前处于公开测试阶段。","votesCount":105,"commentsCount":7,"createdAt":"2026-02-05T08:01:00Z","website":"https://www.producthunt.com/r/MDS6HR5P327UUL?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/miro?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/79aba412-3428-4b1a-87d5-d61880ef9682.png?auto=format","topics":["软件工程","开发者工具","人工智能"],"firstComment":"大家好!我是 Łukasz,Miro 的工程总监。非常兴奋能分享我们正在构建的产品。\n\n背景故事:\n可以想象,我们的工程团队深度依赖 Miro——产品需求文档、图表、用户流程图、线框图、技术规格、用户洞察……所有内容都在上面。\n\n但当我们使用 Cursor 或 Claude Code 这类 AI 编程工具时,它们对我们白板上的内容一无所知。我们不得不花费大量时间导出、截图、重新解释所有已经存在于白板上的内容。\n\n这令人沮丧!\n\n因此我们构建了 Miro MCP Server。\n\n现在,AI 编程工具可以直接读取 Miro 白板。将 AI 指向包含产品需求文档、原型、笔记的 Miro 白板,它就能读取所有内容,并精确构建出想要的东西。\n\n更棒的是,可以利用 Miro 的可视化能力来帮助理解代码库。想象一下:\n\n面对一个陌生的代码库,无需花费数小时阅读文件,只需向 AI 工具提问:\"在 Miro 上记录整个系统。\"五分钟后,就能获得展示所有连接关系的架构图。人们正将其用于新工程师入职(在深入代码前先可视化代码库)、保持文档更新(自动生成图表),并最终让 AI 在构建功能时不再产生幻觉。\n\n希望听到的反馈:\n我们正处于公开测试阶段,特别希望了解我们遗漏了什么。\n哪些用例对您来说很重要?\n\n目前有什么问题?\n\n接下来我们应该构建什么?\n\n我会全天在线回答问题、协助设置,或者只是聊聊 AI 与可视化结合的未来方向。开始吧!","thumbnail":"https://ph-files.imgix.net/01cca4e0-cc5d-4b42-931e-c76756e76f07.jpeg?auto=format","date":"2026-02-05","id":"2026-02-05-8-miro-mcp","taglineEn":"Turn code into visual docs, board context into code","descriptionEn":"Your AI coding assistant can now read your Miro boards. • Code → Visual Docs: Open your AI tool in your repo, ask \"Document this on Miro\" - get architecture diagrams, flowcharts, data models. • Board Context → Code: AI reads your PRDs, specs, diagrams, flows, prototypes, decisions and generates code matching your plans. • Works with: Cursor, Claude Code, Windsurf, VSCode + Copilot, Replit. • 2-min setup, OAuth. Public beta.","topicsEn":["Software Engineering","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hi PH! I'm Łukasz, Director of Engineering at Miro. Super excited to share what we've been building.\n\nThe backstory:\nAs you can imagine, our engineering team lives in Miro - we have PRDs, diagrams, user flows, wireframes, technical specs, user insights... everything.\n\nBut when we used AI coding tools like Cursor or Claude Code, they had zero context about any of this. We'd spend forever exporting, screenshoting and re-explaining everything that already existed on our boards.\n\nFrustrating!\n\nSo we built Miro MCP Server\n\nNow AI coding tools can read Miro boards directly. Point AI at your Miro board with PRDs, prototypes, notes and it can read everything and build exactly what you mean. \n\nBut even better, you can use Miro visual capabilities to help you understand your codebase. Imagine this:\n\nYou're looking at an unfamiliar codebase. Instead of reading files for hours, you ask your AI tool: \"Document this entire system on Miro.\" Five minutes later, you have architecture diagrams showing how everything connects. People are using it for onboarding new engineers (visualize the codebase before diving in), for keeping documentation current (auto-generate diagrams), and for finally getting AI to stop hallucinating when building features.\n\nWhat I'd love to hear:\nWe're in public beta specifically to learn what we're missing.\nWhat use cases matter to you?\n\nWhat's broken?\n\nWhat should we build next?\n\nI'm here all day to answer questions, help with setup, or just chat about where AI + visual context is heading. Let's go!","review":"Miro MCP 巧妙地弥合了可视化协作与代码开发之间的鸿沟,解决了 AI 编程工具缺乏项目上下文的核心痛点。传统上,产品需求、设计原型与代码实现分属不同工具,导致信息割裂和重复解释。该产品通过 MCP 协议,让 AI 助手能直接读取 Miro 白板上的丰富内容(PRD、流程图、原型),使代码生成更贴合实际设计意图。其双向价值尤为突出:不仅可将白板内容转化为代码,还能将复杂代码库反向可视化为架构图,极大提升了代码理解效率和团队协作透明度。目标用户明确为依赖 Miro 进行产品设计和项目管理的开发团队。其创新点在于将静态的\"文档\"转化为 AI 可理解和操作的\"结构化上下文\",有望减少开发过程中的信息偏差和 AI 幻觉。潜在挑战在于如何精准解析白板上的非结构化信息(如手绘草图、松散笔记),以及在不同开发工具中保持一致的集成体验。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Xcode 26.3","tagline":"借助编程agent自主处理复杂任务","description":"Xcode 26.3 引入了对agent化编程的支持,这是Xcode中一种让开发者使用编程agent(如Anthropic的Claude Agent和OpenAI的Codex)来构建应用程序的新方式。通过agent化编程,Xcode能够以更高的自主性朝着开发者的目标工作——从分解任务到基于项目架构做出决策,再到使用内置工具。","votesCount":248,"commentsCount":7,"createdAt":"2026-02-04T08:01:00Z","website":"https://www.producthunt.com/r/V3UPPKCPGGKR2D?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/xcode?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/a67460b4-029a-4ad3-af8d-714578eb91bf.jpeg?auto=format","topics":["开发者工具","人工智能"],"firstComment":"是否觉得开发环境中的AI agent还不够用?\n\n借助Xcode 26.3,编程agent能够访问\"更多Xcode的核心能力。像Anthropic的@Claude Agent和OpenAI的@Codex这样的agent现在可以在整个开发生命周期中进行协作,赋予开发者前所未有的能力来简化工作流程、加速迭代并将想法变为现实。Agent可以搜索文档、探索文件结构、更新项目设置,并通过捕获Xcode预览以及迭代构建和修复来可视化地验证其工作。\"\n\n同样值得注意的是:\n除了这些内置集成,Xcode 26.3还通过Model Context Protocol(一种开放标准)使其能力可用,这为开发者提供了使用任何兼容agent或工具与Xcode协作的灵活性。","thumbnail":"https://ph-files.imgix.net/9e8d418a-b168-4961-9b77-5a2557dfaaf6.png?auto=format","date":"2026-02-04","id":"2026-02-04-2-xcode-26.3","taglineEn":"Leverage coding agents to tackle complex tasks autonomously","descriptionEn":"Xcode 26.3 introduces support for agentic coding, a new way in Xcode for developers to build apps using coding agents such as Anthropic's Claude Agent and OpenAI's Codex. With agentic coding, Xcode can work with greater autonomy toward a developer's goals — from breaking down tasks to making decisions based on the project architecture and using built-in tools.","topicsEn":["Developer Tools","Artificial Intelligence"],"firstCommentEn":"Couldn't get enough AI agents in your coding environments?\n\nWith Xcode 26.3, coding agents get access \"to even more of Xcode's capabilities. Agents like @Claude by Anthropic Agent and @Codex by OpenAI can now collaborate throughout the entire development life cycle, giving developers the power to streamline workflows, iterate faster, and bring ideas to life like never before. Agents can search documentation, explore file structures, update project settings, and verify their work visually by capturing Xcode Previews and iterating through builds and fixes.\"\nAlso notable:\nIn addition to these built-in integrations, Xcode 26.3 makes its capabilities available through the Model Context Protocol, an open standard that gives developers the flexibility to use any compatible agent or tool with Xcode.","review":"Xcode 26.3的发布标志着苹果开发工具正式迈入AI agent协作时代。它并非简单集成代码补全,而是将AI agent提升为贯穿整个开发生命周期的智能协作者。其核心创新在于赋予agent更高的自主性和上下文感知能力,使其能够理解项目架构、分解任务并使用Xcode原生工具。这直接解决了开发者面临的多任务切换、文档查阅和重复性配置等效率痛点。通过支持Model Context Protocol这一开放标准,Xcode避免了生态锁定,为未来更多AI工具的接入预留了空间。潜在挑战在于如何确保agent决策的可靠性与安全性,以及如何平衡自动化与开发者对代码的最终控制权。此举可能重塑iOS/macOS应用的开发范式,使个人开发者或小团队也能驾驭更复杂的项目。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Bunny Database","tagline":"如同 SQLite,但专为 Web 而生","description":"轻松创建与 SQLite 兼容的数据库,空闲时自动休眠。从简单开始,后续可随时添加区域而无需重构架构。无论用户身处何地,都能保持低延迟。","votesCount":187,"commentsCount":13,"createdAt":"2026-02-04T08:01:00Z","website":"https://www.producthunt.com/r/VTYDH36VXOGNKG?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/bunny-net?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/e718ad68-ac72-4952-9152-29db91e5d564.png?auto=format","topics":["开发者工具","数据库"],"firstComment":"大家好,Product Hunt 👋\n\n并非每个项目都需要 Postgres,这完全可以理解。有时,开发者只是需要一个简单、可靠的数据库,能够快速启动并在此基础上构建,而无需担心它会像 EC2 实例那样消耗大量成本。\n\n这正是我们构建 Bunny Database 的初衷。\n\n产品特性包括:\n- 一键部署:只需为数据库命名即可开始,无需配置\n- 语言专用工具链:提供 TS/JS、Go、Rust 和 .NET 的 SDK,帮助处理繁琐部分\n- 全球低延迟:复制区域功能可将读取请求就近服务用户\n- 覆盖全球 41 个区域:可在自动、单区域和多区域部署模式间选择\n- 基于 HTTP 工作:可与任何系统轻松集成\n- 数据库编辑器:即时插入数据或运行查询\n- 监控指标:实时查看读写、存储和延迟数据\n- 经济实惠的按需付费模式:只为实际使用量付费,且无服务器税\n\nBunny Database 现已进入公开预览阶段。在此期间服务免费,每位用户最多可创建 50 个数据库,每个数据库容量上限为 1 GB。\n\n欢迎分享您的想法,祝您开发愉快!","thumbnail":"https://ph-files.imgix.net/b055b4c8-49e9-43b2-be5d-e4a66e9055cf.png?auto=format","date":"2026-02-04","id":"2026-02-04-3-bunny-database","taglineEn":"Like SQLite, but for the web","descriptionEn":"Easily create SQLite-compatible databases that spin down when idle. Start simple and add regions later without rearchitecting. Keep latency low no matter where your users are.","topicsEn":["Developer Tools","Database"],"firstCommentEn":"Hello Product Hunt 👋\n\nNot every project needs Postgres, and that's okay. Sometimes you just want a simple, reliable database that you can spin up quickly and build on, without worrying it'll hit your wallet like an EC2.\n\nThat's what we built Bunny Database for.\n\nWhat you get:\n- One-click deployment: just name your database and go, no config needed\n- Language-specific tooling: SDKs for TS/JS, Go, Rust, and .NET help you handle the boring bits\n- Low latency anywhere: replication regions let you serve reads close to your users\n- 41 regions worldwide: choose between automatic, single-region, and multi-region deployments\n- Works over HTTP: wire up anything you'd like\n- Database editor: insert data or run queries on the spot\n- Metrics: instant visibility into reads, writes, storage, and latency\n- Affordable, pay-as-you-go pricing: only pay for what you use, but without the serverless tax\n\nWe just launched Bunny Database into public preview. During this time the service is free, limited to 50 databases per user, each capped at 1 GB.\n\nLet us know what you think and happy building!","review":"Bunny Database 精准地切入了一个细分但重要的市场:为中小型 Web 应用提供轻量、经济且高性能的数据库解决方案。其核心价值在于将 SQLite 的简洁性与云服务的可扩展性相结合,解决了传统云数据库(如 Postgres)在小型项目中的配置复杂、成本不可控和资源浪费问题。产品定位清晰,瞄准了那些需要快速启动、预算有限且不希望被\"服务器税\"捆绑的开发者。其全球 41 个区域的复制能力,确保了低延迟,这对于面向全球用户的现代应用至关重要。创新点在于\"按需休眠\"的计费模式和与 SQLite 的兼容性,这降低了迁移门槛。潜在挑战在于,当应用规模增长到一定程度后,其功能集和性能上限是否能满足需求,以及如何与更成熟的云数据库生态竞争。总体而言,这是一款定位精准、设计巧妙的开发者工具。","primaryCategory":"developer-tools","categories":["developer-tools","data-analytics"],"normalizedTopics":["开发者工具","数据库","Database"]},{"name":"Sheetful.co","tagline":"基于 Google Sheets 免费构建强大的 REST API","description":"几秒钟内即可将 Google Sheets 转换为完整的 REST API。即时获得 GET、POST、PUT 和 DELETE 端点,为应用程序和网站提供数据支持。无需代码、免费且实时更新。","votesCount":131,"commentsCount":5,"createdAt":"2026-02-04T08:01:00Z","website":"https://www.producthunt.com/r/4NSSF4M32T672R?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/sheetful-co?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/5dea21c8-6ca6-4ba5-be02-24db8c718283.png?auto=format","topics":["API","电子表格","开发者工具"],"firstComment":"大家好,Product Hunt!👋 我是 Sheetful 的独立创始人,今天我们发布这款后端工具,它正是我当初开始构建 MVP 和内部工具时所期望存在的产品。\n\n为何构建它\n大多数项目都始于电子表格,因为这是世界上最熟悉的数据界面。但当需要将这些数据转化为真正的应用程序时,通常被迫在复杂的数据库堆栈或零散的 DIY 工具之间做出选择。\n\n我的目标是弥合从产生想法到拥有实时 API 之间的巨大速度鸿沟。构建 Sheetful 是为了赋能,让想象力得以实现。无论是移动应用、Web 平台还是自定义内部工具,Sheetful 都能将电子表格转化为能够处理 GET、POST、PUT 和 DELETE 请求的强大 REST API。\n无需再切换上下文或处理复杂的基础设施,只需点击一下,数据就能转变为生产就绪的引擎,实现无限制的创作自由。\n\nSheetful 提供什么\n一键生成 API:连接 Google Sheet,即刻获得专业的 REST API 端点(GET、POST、PUT、DELETE)。\n\n开发者优先的仪表板:管理多个项目,监控实时请求分析,一目了然地跟踪成功率和响应时间。\n\n灵活的认证:为快速原型选择公开访问,或为生产级应用选择安全的 Bearer Token 认证。\n\n为扩展而构建:从免费层的副业项目,到每月处理 1000 万请求的高性能应用。\n\n零配置部署:电子表格托管在 Google Cloud Platform 基础设施上,确保可靠性,无需 DevOps 烦恼。\n\n内置强大工具\n海量容量:高级套餐支持无限项目和表格,让数据增长不受限制。\n实时指标:详细的执行日志,用于实时调试请求。\n适合人群\n需要即时可用后端的开发者、独立黑客和\"氛围开发者\"。无论是用于潜在客户捕获、动态网站内容还是内部业务工具,Sheetful 都将熟悉的界面转化为所需的后端。\n我致力于让\"电子表格到应用\"的流程尽可能无缝。作为一名独立创作者,非常期待在评论中听到大家的反馈!\n\n👉 免费试用:https://sheetful.co\n– Sheetful 团队","thumbnail":"https://ph-files.imgix.net/78eed700-3a28-4cb9-8ac9-8c46a028bade.png?auto=format","date":"2026-02-04","id":"2026-02-04-5-sheetful.co","taglineEn":"Build robust REST APIs with Google Sheets for free","descriptionEn":"Turn Google Sheets into a full REST API in seconds. Get GET, POST, PUT, and DELETE endpoints instantly to power apps and sites. No-code, free, and updates in real-time.","topicsEn":["API","Spreadsheets","Developer Tools"],"firstCommentEn":"Hey Product Hunt! 👋 I'm the solo founder behind Sheetful, and today we're launching the backend tool I wished existed when I started building MVPs and internal tools.\n\nWhy I built this\nMost projects start in a spreadsheet because it's the most familiar data interface in the world. But when it's time to turn that data into a real application, you're usually forced to choose between complex database stacks or fragmented DIY tools.\n\nI wanted to bridge the massive speed gap between having an idea and having a live API. I built Sheetful to empower you to build whatever your imagination allows. Whether it's a mobile app, a web platform, or a custom internal tool, Sheetful transforms your spreadsheet into a powerful REST API capable of handling GET, POST, PUT, and DELETE requests.\nNo more context switching or complex infra, just your data, turned into a production-ready engine with one click, giving you the freedom to create without limits.\n\nWhat Sheetful gives you\nOne-Click API Generation: Connect your Google Sheet and instantly get professional REST API endpoints (GET, POST, PUT, DELETE).\n\nDeveloper-First Dashboard: Manage multiple projects, monitor real-time request analytics, and track success rates and response times at a glance.\n\nFlexible Authentication: Choose between Public access for quick prototypes or secure Bearer Token authentication for production-grade apps.\n\nBuilt to Scale: From side projects on our Free tier to high-performance applications handling 10.0M requests per month.\n\nZero-Config Deployment: Your spreadsheet is hosted on Google Cloud Platform infrastructure, ensuring reliability without the DevOps headache.\n\nBuilt-in power tools\nMassive Capacity: Support for unlimited projects and sheets on high-tier plans to keep your data growing without limits.\nLive Metrics: Detailed execution logs to debug your requests in real-time.\nWho this is for\nDevs, Indie Hackers, and \"Vibe-Devs\" who need a backend that works now. Whether it's for lead capture, dynamic website content, or internal business tools, Sheetful turns the interface you already know into the backend you need.\nI'm obsessed with making the \"spreadsheet-to-app\" pipeline as seamless as possible. As a solo creator, I'd love to hear your feedback in the comments!\n\n👉 Try it free: https://sheetful.co\n– the Sheetful team","review":"Sheetful.co 精准地瞄准了从原型构思到产品实现之间的\"最后一公里\"痛点。许多项目始于电子表格,但将其转化为可交互的 API 往往需要复杂的后端开发。该产品通过无代码方式,将 Google Sheets 瞬间转化为功能齐全的 REST API,极大地降低了开发门槛,尤其适合独立开发者、初创团队和需要快速构建内部工具的业务人员。其核心创新在于将熟悉的电子表格界面与专业的 API 能力无缝结合,同时提供了开发者友好的仪表板、灵活的认证和可扩展的架构。优势在于极低的启动成本和实时数据同步能力。潜在挑战可能在于处理复杂数据关系时的局限性,以及对于超高并发场景的性能表现。总体而言,它是一款优秀的\"快速启动\"工具,有效填补了简易数据管理与专业应用开发之间的空白。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","finance-business"],"normalizedTopics":["开发者工具","生产力与办公","Spreadsheets"]},{"name":"Unblocked Code Review","tagline":"懂得何时介入的 AI 代码审查","description":"一款能够洞察完整上下文而不仅仅是代码差异的 AI 代码审查工具。Unblocked 能够调用整个代码库、Slack、Jira、文档、PR 历史等来源的上下文信息。每条评论都附带引用来源,推动对话高效进行。最终结果是:提供高价值、真正值得采纳的审查意见。","votesCount":119,"commentsCount":12,"createdAt":"2026-02-04T08:01:00Z","website":"https://www.producthunt.com/r/BYG6DIFGTW4DMN?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/unblocked?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/fed01b74-3731-4121-8573-7332cf7bce92.png?auto=format","topics":["软件工程","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt!\n\n我是 Brandon,Unblocked 的开发者关系负责人。我们构建 Unblocked Code Review 的初衷,是让每一次代码合并请求(PR)都能获得其应有的上下文审查。\n\n当您开启一个 PR 时,它会自动运行,连接到 Unblocked 的上下文引擎,从 Slack 对话、Linear/Jira 工单、文档以及过往的 PR 中提取洞察。它理解跨仓库的完整代码库,而不仅仅是代码差异。\n\n您还可以与任何 PR 进行对话,以引导审查方向、询问关于代码库的问题,或生成图表来理解变更。这极大地帮助人工审查者快速解析、理解变更的影响范围和潜在风险。\n\n每一条审查发现,都会根据团队的实际决策来验证代码变更的意图,而非依赖通用规则。\n\n我很好奇,您在代码审查中遇到的最大痛点是什么?","thumbnail":"https://ph-files.imgix.net/8f1014fb-18bd-4765-a5db-3d633c50c89d.png?auto=format","date":"2026-02-04","id":"2026-02-04-7-unblocked-code-review","taglineEn":"AI code review that knows when to chime in","descriptionEn":"AI code review that sees your context, not just your diff. Unblocked draws on context from your whole repo, Slack, Jira, docs, PR history, and more. Every comment moves the conversation forward with cited sources. The result: high-signal comments you'll actually want to implement.","topicsEn":["Software Engineering","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Product Hunt!\n\nBrandon, DevRel at Unblocked. We built Unblocked Code Review to give every PR the context it deserves.\n\nIt runs automatically when you open a PR, connecting to Unblocked's context engine to surface insights from your Slack conversations, Linear/Jira tickets, documentation, and previous PRs. It understands your complete codebase across repositories, not just the diff.\n\nYou can also chat with any PR to steer the review, ask questions about the codebase, or generate diagrams to understand the changes. This tremendously helps human reviewers quickly parse, understand impact, and blast radius of changes.\n\nEvery finding validates the intent of your code change against what your team actually decided, not generic rules.\n\nI'm curious, what's your biggest code review pain point?","review":"Unblocked Code Review 瞄准了传统代码审查工具的核心局限——缺乏上下文。它不再孤立地审视代码差异,而是整合了 Slack、Jira、文档和 PR 历史等多元信息源,构建了一个立体的\"决策上下文\"。这种\"全栈式\"理解能力,使 AI 审查能够判断代码变更是否符合团队既定的业务逻辑和架构决策,而非仅仅检查语法或风格。其\"对话式审查\"功能进一步降低了理解复杂变更的门槛,通过生成图表和问答,加速了人工审查过程。该产品主要面向中大型技术团队,特别是那些项目历史复杂、跨团队协作频繁的场景。其创新点在于将 AI 从\"代码语法检查员\"提升为\"项目上下文协作者\"。潜在挑战在于如何平衡信息整合的深度与用户隐私/数据安全,以及如何确保在不同工具生态(如 Slack vs Teams)中提供一致的体验。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Postproxy","tagline":"一个 API 即可发布到 Instagram、TikTok、YouTube 等平台","description":"Postproxy 是一个面向社交网络的统一发布 API。专为大规模自动化内容发布的开发者打造。单一端点、明确的状态、内置重试机制,当然,还支持定时发布。","votesCount":114,"commentsCount":7,"createdAt":"2026-02-04T08:01:00Z","website":"https://www.producthunt.com/r/FM5QGW6HQCI5TM?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/postproxy?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/9a58bff9-8ec4-404a-8681-982a18023a3c.png?auto=format","topics":["API","社交媒体","开发者工具","GitHub"],"firstComment":"大家好,Product Hunt 👋\n\n当我们开始构建 64ads(一个用于大规模生成营销素材的 AI 驱动平台)时,我们真心以为发布功能会是微不足道的一环。心想,\"我们最后调用一下 API 就完事了。\"\n\n结果我们大大低估了\"只是集成发布功能\"的实际含义:\n- 每个平台都有自己的应用审核流程(有些需要数周)\n- 每个平台在允许发布前都有不同的验证要求\n- Twitter 的 API 与 LinkedIn 的完全不同,而 Instagram 的又截然不同\n- 速率限制不仅仅是\"每小时请求数\"——它们是嵌套的、有条件的,并且因平台而异\n- 协调所有这些,确保部分失败不会引发连锁反应?比我们预期的要棘手得多。\n\n我们最终花了数周时间处理这个本应是\"支线任务\"的部分。我们的产品核心是 AI 内容生成——这才是我们想要专注的地方。然而,我们却困在处理应用审核和调试 LinkedIn 为何会截断文本中间部分的问题上。\n\n因此,我们决定将其作为一个独立产品——Postproxy。今天我们正式发布,支持 7 个平台(Twitter、LinkedIn、Facebook、Instagram、YouTube、Threads、TikTok)并提供三种集成方式:REST API、n8n 社区节点,或面向 AI agent 的 MCP 服务器。\n\n很想知道是否有人也经历过这种痛苦。是什么破坏了你的自动化流程?是平台的怪癖?还是\"API 返回成功\"与\"实际发布成功\"之间的差距?\n\n很高兴回答任何关于我们如何处理多平台发布这一混乱现实的技术问题。\n\n祝好,\nDmitry","thumbnail":"https://ph-files.imgix.net/3f3ab97f-1bd4-4a86-93e3-a6af876d3dc0.png?auto=format","date":"2026-02-04","id":"2026-02-04-8-postproxy","taglineEn":"One API to publish to Instagram, TikTok, Youtube and others","descriptionEn":"Postproxy is a unified publishing API for social networks. Built for developers who automate content at scale. One endpoint, explicit states, built-in retries. And scheduling, of course.","topicsEn":["API","Social Media","Developer Tools","GitHub"],"firstCommentEn":"Hey Product Hunt 👋\n\nWhen we started building 64ads (an AI-driven platform for generating marketing assets at scale), we genuinely thought publishing would be the trivial part. Like, \"we'll just hit the API at the end and call it done.\" \n\nTurns out we massively underestimated what \"just integrate publishing\" actually means:\n- Each platform has its own app review process (some take weeks)\n- Each has different verification requirements before you can even post\n- Twitter's API works completely differently from LinkedIn's, which is nothing like Instagram's\n- Rate limits aren't just \"requests per hour\" – they're nested, conditional, and platform-specific\n- Orchestrating all of this together so that partial failures don't cascade? Way more tricky than we expected.\n\nWe ended up spending weeks on what was supposed to be a side quest. Our product is about AI content generation - that's where we wanted our focus to be. Instead, we were stuck dealing with app reviews and debugging why LinkedIn would trim the text in the middle.\n\nSo, we decided to make it a separate product - Postproxy - and today we're launching with 7 platforms (Twitter, LinkedIn, Facebook, Instagram, YouTube, Threads, TikTok) and three ways to integrate: REST API, n8n community node, or MCP server for AI agents.\n\nWould love to hear if anyone else has felt this pain. What broke your automation? Platform oddities? The gap between \"API says ok\" and \"actually published\"?\n\nHappy to answer any technical questions about how we handle the messy reality of multi-platform publishing\n\nCheers,\nDmitry","review":"Postproxy 精准地瞄准了内容自动化领域一个长期存在但常被低估的痛点——跨社交媒体平台发布的复杂性。其核心价值在于将分散、异构的各大平台 API 抽象为一个统一、稳定的接口,极大降低了开发者的集成和维护成本。产品定位清晰,目标用户明确:需要大规模、自动化发布内容的开发者、营销技术团队以及 AI 内容生成平台。其创新点不仅在于\"统一\",更在于深入解决了实际集成中的\"脏活累活\",如应用审核、平台特定规则、错误处理和重试机制。与直接调用原生 API 相比,Postproxy 提供了更高的可靠性和开发效率。潜在挑战在于需要持续跟进各平台频繁变化的 API 政策和功能,维护成本高,且作为中间层可能面临平台方限制的风险。总体而言,这是一个典型的\"开发者工具即产品\"的成功案例,解决了真实世界的工程难题。","primaryCategory":"developer-tools","categories":["developer-tools","growth-sales","finance-business"],"normalizedTopics":["开发者工具","营销、增长与销售"]},{"name":"Multitui","tagline":"在 macOS 上为 Claude Code、Codex 或任何 TUI 程序创建沙盒应用","description":"Multitui 是一个 macOS 应用工厂,可为 TUI 程序生成独立的终端应用,并可选配沙盒环境。为 Claude Code、Codex、Gemini、Lazygit、Harlequin 或任何 TUI 创建专用的原生应用。","votesCount":105,"commentsCount":9,"createdAt":"2026-02-04T08:01:00Z","website":"https://www.producthunt.com/r/HTSKVUDHRDPDC2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/multitui?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/14594ec3-d02d-4984-9328-2af00d9ca7f3.png?auto=format","topics":["Mac","开发者工具","人工智能"],"firstComment":"开发 Multitui 是为了在不改变本地开发环境(无需特殊容器或虚拟机)的前提下,轻松控制编码代理的沙盒权限。本地开发环境无需任何配置……只需启动 ClaudeCode.app,而不是在通用终端中运行 claude。容器和虚拟机有其用处,但手头通常有多个项目并行,这些方案显得过于笨重。\n\nMultitui 可为任何终端应用创建单一用途的 macOS 应用,并可选配沙盒。它利用 macOS 内置的 sandbox-exec 和日志监控功能,提供一个简易界面来管理规则、查看被阻止的操作,并在观察到需要放行的文件时添加相应规则。\n\n创建的应用高度可定制,并提供了许多原生 macOS 集成功能(基于文档的应用模型、Finder 集成、全局快捷键等)。它使用 Swift 构建,因此快速且轻量。\n\n我也很欣赏将 TUI 提升为一等应用的理念,就像 Omarchy 在 Linux 上所做的那样。这比在 Ghostty 中循环切换十个外观相似的标签页更能帮助我进行上下文切换。\n\nBeta 版免费,个人使用将永久免费!","thumbnail":"https://ph-files.imgix.net/b4f03262-7855-468f-aa58-bb3f9e622145.png?auto=format","date":"2026-02-04","id":"2026-02-04-9-multitui","taglineEn":"Sandbox claude code, codex, or any TUI on macOS","descriptionEn":"Multitui is a macOS app factory that generates individual terminal apps for TUI programs, with optional sandbox. Create dedicated native apps for claude code, codex, gemini, lazygit, harlequin, or any TUI.","topicsEn":["Mac","Developer Tools","Artificial Intelligence"],"firstCommentEn":"I made Multitui to control the sandbox of coding agents easily without changing my dev environment (no special container or VM). There's no configuration required in your local dev environment... just launch ClaudeCode.app instead of claude in your general terminal. Containers and VMs can be useful, but I always have a bunch of projects going and those solutions feel heavy.\n\nMultitui creates single-purpose macOS apps for any terminal app, with optional sandbox. It uses the built-in macOS sandbox-exec along with log monitoring to give you an easy UI to manage rules, see what's being blocked, and add rules as you observe files that need to be allowed.\n\nThe apps you create are highly customizable and provide many native macOS integrations (document-based app model, Finder integration, global shortcut, etc). It's built with Swift, so it's fast and lightweight.\n\nI also like the idea of TUIs being first-class apps, like what Omarchy did on linux. It helps me context-switch better than cycling through ten similar-looking tabs in Ghostty.\n\nIt's free in beta and free for personal use forever!","review":"Multitui 精准地切入了一个细分但关键的痛点:在享受 AI 编码助手(如 Claude Code)强大功能的同时,如何确保本地开发环境的安全与隔离。它没有采用传统的容器或虚拟机方案,而是巧妙地利用 macOS 原生沙盒机制,将 TUI 程序\"应用化\"。这种设计思路非常巧妙,既实现了安全隔离,又避免了传统方案带来的资源开销和配置复杂性,尤其适合需要同时处理多个项目的开发者。其核心价值在于将安全控制从复杂的命令行配置转变为直观的图形界面操作,降低了使用门槛。目标用户主要是 macOS 平台上的中高级开发者、安全研究人员以及对 AI 编码工具持谨慎态度的团队。潜在挑战在于其生态依赖 macOS 沙盒能力,跨平台性有限,且需要用户对文件访问权限有一定理解才能有效管理规则。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["生产力与办公","开发者工具","AI 与智能体"]},{"name":"Grok Imagine 1.0","tagline":"前所未有的便捷,让创意即刻成真","description":"xAI 正式发布 Grok Imagine 1.0,这是其 AI 视频生成平台的一次重大升级。本次发布提升了视频质量、降低了延迟并优化了成本效益,支持生成长达 10 秒的 720p 视频并改善了音频效果,同时增加了高级运动控制和视觉连贯性。全新的统一 API 支持从文本、图像或现有素材出发,实现端到端的视频创作与编辑。","votesCount":141,"commentsCount":8,"createdAt":"2026-02-03T08:01:00Z","website":"https://www.producthunt.com/r/UO6MJRWPPRDV73?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/grok-com-beta?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/838c7116-b7a4-496f-a7c4-02f0913d1cc2.jpeg?auto=format","topics":["开发者工具","人工智能","视频"],"firstComment":"大家好 👋\n\n很高兴与大家分享 xAI 推出的 Grok Imagine 1.0。可以将文本或图像转化为具有电影感的短视频,为角色添加动画,添加或替换物体,变换场景(如日光、雾天、冬季、日落),对现有素材进行风格重塑,甚至将草图转化为动画。\n\n它还附带了一个统一的 API,用于快速、端到端的视频创作和编辑。期待看到大家用它创造出什么。","thumbnail":"https://ph-files.imgix.net/95cd1618-2511-4f42-b24b-f01e3ca60db4.jpeg?auto=format","date":"2026-02-03","id":"2026-02-03-8-grok-imagine-1.0","taglineEn":"It's never been easier to bring your ideas to life.","descriptionEn":"xAI launches Grok Imagine 1.0, a major upgrade to its AI video generation platform. The release improves video quality, latency, and cost efficiency, supports up to 10s 720p videos with better audio, and adds advanced motion and visual continuity. A new unified API enables end-to-end video creation and editing from text, images, or existing footage.","topicsEn":["Developer Tools","Artificial Intelligence","Video"],"firstCommentEn":"Hey everyone 👋\n\nExcited to share Grok Imagine 1.0 by xAI. You can turn text or images into short cinematic videos, animate characters, add or swap objects, change scenes (daylight, fog, winter, sunset), restyle existing footage, and even convert sketches into animations.\n\n It also ships with a unified API for fast, end-to-end video creation and editing. Curious to hear what you'll build with it","review":"Grok Imagine 1.0 的发布标志着 AI 视频生成领域正从概念验证迈向实用化。其核心价值在于通过统一的 API 接口,将复杂的视频创作流程(从文本/图像生成到后期编辑)整合为一个连贯的工作流,显著降低了内容创作者和开发者的技术门槛。产品在提升视频质量、降低延迟和成本的同时,特别强调了\"运动控制\"和\"视觉连贯性\",这恰恰是当前 AI 视频生成的痛点。目标用户包括独立创作者、营销团队和需要快速原型制作的开发者。其优势在于背靠 xAI 的技术实力,但面临的挑战是如何在日益拥挤的 AI 视频赛道中,建立差异化的技术壁垒和生态优势,并应对生成内容可控性与版权方面的潜在问题。","primaryCategory":"design-creative","categories":["design-creative","developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","设计、图片与视频"]},{"name":"Ask Ellie","tagline":"将 Slack 消息转化为 GitHub、Jira 或 Linear 工单","description":"Ask Ellie 是一款 AI 会话 agent,能将所有工程上下文带入 Slack。询问代码变更、PR 状态、迭代速度、生产问题或分析数据,即可从实际工具中获取即时答案。无需离开聊天界面,即可创建工单、调试事故、检查已发布内容或查明阻塞原因。可连接 GitHub、Jira、Linear、Sentry、PostHog 等工具。告别在不同仪表板间跳转,直接获取答案。","votesCount":182,"commentsCount":48,"createdAt":"2026-02-02T08:01:00Z","website":"https://www.producthunt.com/r/MFTDOHY3EUOHPF?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/ask-ellie?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/59611249-56a8-45b0-b52e-d2fc0efd405b.png?auto=format","topics":["Slack","软件工程","开发者工具"],"firstComment":"大家好,Product Hunt!👋\n我是 Entelligence AI 的创始人 Aiswarya,很高兴今天与大家分享 Ask Ellie。\n\n为什么构建这个产品:\n我们的工程团队每周都要花费数小时在不同仪表板间切换,只为回答一些基本问题。查看 PR 要上 GitHub,看工单要上 Jira,分析数据要上 PostHog。仅仅为了搞清楚\"是什么阻塞了发布?\"就感觉像在玩寻宝游戏。\n仪表板擅长展示数据,但它们不回答问题。而且它们肯定不会在你已经工作的地方与你相遇。\n\nAsk Ellie 是什么?\nAsk Ellie 是一个存在于 Slack 中的 AI 会话 agent,连接整个工程技术栈。可以提出诸如以下问题:\n\"昨晚生产环境出了什么问题?\"\n\n\"为这个 Sentry 错误创建一个工单\"\n\n\"我们的迭代速度看起来如何?\"\n\n\"哪些 PR 卡在评审环节了?\"\n\n\"给我看看新结账流程的分析数据\"\n\n无需离开聊天界面,即可从 GitHub、Jira、Linear、Sentry、PostHog 以及会议记录中获取即时答案。\n\n发展历程:\n在正式发布前,我们在内部测试了 Ask Ellie 数月。它迅速成为团队不可或缺的工具。看到工程师们在对话中途停下来询问 Ellie,而不是打开 5 个浏览器标签页,这给了我们所需的验证。\n\n今天的提供:\n试用 Ask Ellie 并留下您的真实反馈——我们将提供 3 个月的免费使用。我们真诚希望听到哪些地方有效、哪些无效,以及如何改进。\n\n我会全天在线回答问题!\n可以问我任何关于构建过程、技术栈、AI 方法的问题,或者仅仅是您希望 AI agent 为您的团队做什么。\n感谢查看 Ask Ellie。非常期待听到您的想法!","thumbnail":"https://ph-files.imgix.net/91776696-f5ba-49cc-83b4-5373c0072656.png?auto=format","date":"2026-02-02","id":"2026-02-02-4-ask-ellie","taglineEn":"Turn Slack messages into GitHub, Jira, or Linear tickets","descriptionEn":"Ask Ellie is the AI chat agent that brings all your engineering context into Slack. Ask about code changes, PR status, sprint velocity, production issues, or analytics and get instant answers pulled from your actual tools. Create tickets, debug incidents, check what shipped, or find out who's blocking what, all without leaving chat. Connect GitHub, Jira, Linear, Sentry, PostHog, and more. No more dashboard hopping Just answers.","topicsEn":["Slack","Software Engineering","Developer Tools"],"firstCommentEn":"Hey Product Hunt! 👋\nI'm Aiswarya, founder of Entelligence AI, and I'm excited to share Ask Ellie with you today.\n\nWhy we built this:\nOur engineering team was spending hours every week switching between dashboards just to answer basic questions. GitHub for PRs, Jira for tickets, PostHog for analytics. Just to figure out \"what's blocking the release?\" felt like a scavenger hunt.\nDashboards are great for displaying data, but they don't answer questions. And they definitely don't meet you where you're already working.\n\nWhat is Ask Ellie?\nAsk Ellie is an AI chat agent that lives in Slack and connects your entire engineering stack. You can ask questions like:\n\"What broke prod last night?\"\n\n\"Create a ticket for this Sentry error\"\n\n\"How's our sprint velocity looking?\"\n\n\"What PRs are stuck in review?\"\n\n\"Show me analytics for the new checkout flow\"\n\nAnd get instant answers pulled from GitHub, Jira, Linear, Sentry, PostHog, and your meetings without leaving chat.\n\nThe journey:\nWe tested Ask Ellie internally for months before launching. It quickly became the tool our team couldn't work without. Watching engineers stop mid-conversation to ask Ellie instead of opening 5 tabs was the validation we needed.\n\nWhat we're offering today:\nTry Ask Ellie and leave us your honest feedback- we'll give you 3 months free. We genuinely want to hear what works, what doesn't, and how we can make it better.\n\nI'm here all day to answer questions! \nAsk me anything about how we built it, the tech stack, our approach to AI, or even just what you'd want an AI agent to do for your team.\nThanks for checking out Ask Ellie. Really excited to hear what you think!","review":"Ask Ellie 精准地瞄准了软件工程团队在协作流程中的一个核心痛点:信息孤岛与上下文切换。工程师在日常工作中需要频繁在 Slack、GitHub、Jira、Sentry 等多个工具间跳转,这不仅打断工作流,也造成了认知负担和效率损失。Ask Ellie 的创新之处在于将 AI agent 深度集成到团队最常用的沟通平台 Slack 中,通过自然语言交互统一查询和操作多个后端系统,实现了\"对话即界面\"。其核心价值在于将被动、分散的数据展示转变为主动、聚合的智能问答,让工程师能专注于解决问题本身,而非寻找信息。目标用户明确为使用现代技术栈的软件工程团队。潜在挑战包括数据安全与权限管理的复杂性、对非结构化查询意图的准确理解,以及如何平衡即时性与数据更新的延迟。该产品代表了 AI 在提升开发者体验和工程效率方面的一个具体且实用的应用方向。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","data-analytics"],"normalizedTopics":["生产力与办公","开发者工具"]},{"name":"Portal","tagline":"无需设置,随时发送链接即可试用任何产品","description":"Portal 的诞生源于软件试用体验至今仍存在虚假感。我们发送着陆页、视频和演示,但用户首次真正使用产品时,仍需注册、安装或预约销售通话。Portal 允许发送一个浏览器会话链接,该链接可直接打开至产品的任何真实运行状态。例如,可打开至 localhost:3000、已安装扩展的状态,或登录到一个具备安全防护、自动重置及可选 AI 辅助的演示账户。用户可获得分析数据。该链接提供临时会话。","votesCount":146,"commentsCount":12,"createdAt":"2026-02-02T08:01:00Z","website":"https://www.producthunt.com/r/WKOPJZZ72WGC6Q?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/portal-14?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/104b086d-d70d-4a70-83ff-5dbe43190f0d.png?auto=format","topics":["销售","用户体验","开发者工具"],"firstComment":"📌 大家好,Product Hunt——我是 Zach,Portal 的创始人。\n\n👉 在此处试用一个实时 Portal:www.makeportals.com/try-producthunt\n\nPortal 始于一个简单的问题:\n为什么让用户真正试用软件仍然如此困难?\n去年,我在西雅图的一个无障碍实验室,向某人展示了我构建的、用于通过语音控制电脑的 Chrome 扩展程序。\n他们很兴奋——但当需要安装时,他们犹豫了,不信任下载这个东西。\n\n我记得当时在想:为什么不能直接发送一个链接,指向一台已经运行着该软件的电脑呢?\n这个问题一直萦绕在我心头。\n\nPortal 的功能\nPortal 将浏览器会话(一个真实的产品状态)转化为可分享的链接。\n点击 Portal 的感觉就像打开别人的浏览器——已经设置好——可以安全地探索。\n当多人打开同一个 Portal 时,每个人都会自动获得自己独立的会话。\n\n一个 Portal 可能打开至:\n已登录的仪表板\n\n包含真实数据的演示账户\n\n特定的用户引导步骤\n\nlocalhost 或已安装 Chrome 扩展的状态,附带 10 分钟临时/受限访问权限及使用分析\n\n无需安装。无需注册。无需假装。\n只需点击,即可进入。\n\n工作原理(概述)\n可以将 Portal 想象成科学展览会上的一个展位——一台 iPad 已经打开应用,并设有防护栏。\n每个 Portal 都具备:\n真实的 UI,完全可交互\n\n打开至特定选定的状态\n\n置于沙盒中,设有防护栏和过期访问权限\n\n可选择加入一个由你控制的 AI(用于回答问题或运行演示)\n\n配备点击和犹豫行为的分析工具\n\n你可以选择状态、主导者(用户或 AI),以及包含在有状态 URL 中的沙盒规则。\n当有人打开链接时,该会话即被激活。大多数 Portal 的创建时间不到一分钟,且无需任何代码。\n\n由 AI agent 引导或自助式(AI 回答问题)的演示只是其中一个用例。\n人们使用 Portal 来:\n即时分享难以设置的产品,以测试转化率/用户洞察提升\n\n运行自助式用户引导或研究\n\n在 Slack 中发送链接,而非 Loom 视频\n\n以实际软件而非幻灯片结束演示\n\n很快将能在其网站上嵌入特定体验\n\n通过使用一个未发布的多人在线测试版,我向父母发送 Portal,让他们一起滚动浏览新闻文章,而不是屏幕共享;在 Zoom 会议中,也直接发送 Portal 链接而非共享屏幕。\n\n一个顿悟时刻\n在南园公地的一次演示活动中,我最后展示了一个二维码。\n25 位创始人扫描了它——并立即在他们的手机上打开了我的本地应用的不同独立实例,且 Chrome 扩展程序已安装好。\n无需安装。无需屏幕共享。无需假装。\n他们没有观看演示。\n他们体验了产品。\n\n愿景\n我们正在将 Portal 打造为网络的新基石:可分享的链接,指向实时产品状态,服务于下一个十亿个有状态的产品。\n\n如果说 Google Docs 让文档可分享,那么 Portal 则让软件体验可分享。\n\nwww.makeportals.com/try-producthunt\n创建 Portal 的视频:https://www.linkedin.com/feed/update/urn:li:activity:7422078545230843904/\n\n如果感觉有任何不清楚、有问题或出乎意料强大的地方,我真诚地希望得到您的反馈——以及您希望如何使用 Portal。","thumbnail":"https://ph-files.imgix.net/5f1e003a-7966-4a20-bb0c-261ca531c71e.png?auto=format","date":"2026-02-02","id":"2026-02-02-6-portal","taglineEn":"Links to try any product at any moment with no setup","descriptionEn":"Portal exists because trying software is still weirdly fake. We send landing pages, videos, and demos - but the first time someone actually uses a product still requires signups, installs, or a sales call. Portal lets you send a browser session, which can be open to any real, running state of your product. That could be opened to localhost:3000, with an extension installed, or logged into a demo account with safety, resets, and optional AI. You get analytics. The link allows a temp session.","topicsEn":["Sales","User Experience","Developer Tools"],"firstCommentEn":"📌 Hey Product Hunt - I'm Zach, founder of Portal\n\n👉 Try a live Portal here: www.makeportals.com/try-producthunt\n\nPortal started with a simple question:\nWhy is it still so hard to let someone actually try software?\nLast year I was in a disability lab in Seattle, showing someone a Chrome extension I'd built to control a computer with voice.\nThey were excited - but when it came time to install, they hesitated & didn't trust downloading this thing.\n\nI remember thinking: Why can't I just send a link to a computer where this is already running?\nThat question stuck with me.\n\nWhat Portal does\nPortal turns a browser session (a real product state) into a shareable link.\nClicking a Portal feels like opening someone else's browser - already set up - that you can safely explore.\nWhen multiple people open a Portal, each gets their own isolated session automatically.\n\nA Portal might open to:\na logged-in dashboard\n\na demo account with real data\n\na specific onboarding step\n\na localhost or Chrome extension w/ 10 min temp/limited access & analytics on use\n\nNo installs. No signups. No pretending.\nJust click & you're in.\n\nHow it works (high level)\nThink of a Portal like a booth at a science fair - an iPad already open to the app, with guardrails.\nEach Portal is:\nthe real UI, fully interactive\n\nopened in a specific chosen state\n\nsandboxed with guardrails & expiring access\n\noptionally joined by an AI you control (to answer questions or run a demo)\n\ninstrumented with analytics on clicks and hesitation\n\nYou choose the state, who leads (user or AI), and the rules of the sandbox that is contained in a stateful URL.\nWhen someone opens the link, that session comes alive. Most Portals take under a minute to create, with zero code.\n\nDemos (led by an AI agent or self-serve w/ AI to answer Qs) are just one use case\nPeople use Portals to:\nshare hard-to-set-up products instantly, trialing conversion / user insight lifts\n\nrun self-serve onboarding or research\n\nsend links in Slack instead of Looms\n\nend presentations with actual software, not slides\n\nsoon embed specific experiences on their sites\n\nUsing an unreleased multiplayer beta, I send Portals to my parents to scroll through news articles together instead of screen sharing, and drop a Portal instead of sharing on Zooms.\n\nA moment that made it click\nAt a South Park Commons demo event, I ended with a QR code.\n25 founders scanned it - and instantly opened isolated instances of my localhost app on their phones, with a Chrome extension already installed.\nNo installs. No screen sharing. No pretending.\nThey didn't watch a demo.\nThey experienced the product.\n\nThe vision\nWe're building Portal as a new primitive for the web: shareable links to live product states, for the next billion stateful products.\n\nIf Google Docs made documents shareable, Portal makes software experiences shareable.\n\nwww.makeportals.com/try-producthunt\nVid making a Portal: https://www.linkedin.com/feed/update/urn:li:activity:7422078545230843904/\n\nIf anything feels unclear, broken, or surprisingly powerful, I'd genuinely love your feedback - and how you'd want to use a Portal.","review":"Portal 瞄准了软件销售和用户体验中的一个核心痛点:从\"观看演示\"到\"亲手试用\"之间的巨大鸿沟。传统方式依赖注册、安装或销售介入,不仅门槛高,且体验失真。Portal 的创新在于将\"有状态的浏览器会话\"作为可分享的原子单位,通过链接直接交付一个预设好、可交互、带防护的真实产品环境。这不仅是演示工具的升级,更是对软件交付和协作模式的重新构想。其目标用户广泛,包括销售团队(提升转化)、产品经理(用户研究)、开发者(分享开发中版本)乃至普通用户(简化协作)。潜在优势在于极大降低试用摩擦、提升体验真实度并获取深度分析数据。挑战可能在于技术实现的复杂性(如沙盒安全、状态同步)以及用户对新交互模式的接受度。若成功,它可能成为继\"分享文档\"之后,\"分享软件体验\"的新网络基础协议。","primaryCategory":"developer-tools","categories":["developer-tools","growth-sales","design-creative"],"normalizedTopics":["营销、增长与销售","设计、图片与视频","开发者工具","User Experience"]},{"name":"Design In The Browser","tagline":"前端开发的视觉化工具。点击元素,AI 自动编码。","description":"Design In The Browser 允许直接点击网站上的任何元素,并用自然语言告诉 AI 需要修改什么。无论是按钮、标题还是文本,只需描述编辑意图,该工具便会将指令(附带截图)直接发送给在内置终端中运行的 Claude Code、Cursor 或 Gemini CLI。无需再复制选择器或在聊天中描述布局。所见即所得,AI 负责实现。支持多任务编辑队列、响应式视口适配以及用户偏好的代码编辑器。","votesCount":142,"commentsCount":12,"createdAt":"2026-02-02T08:01:00Z","website":"https://www.producthunt.com/r/6F5UQUJXKYNCC6?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/design-in-the-browser?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/82cffd12-5051-4e63-b3c2-a429365c10d3.png?auto=format","topics":["设计工具","生产力","开发者工具"],"firstComment":"大家好!我开发 Design In The Browser 是因为对向 AI 编码工具描述 UI 修改时反复沟通的过程感到沮丧。\n\n我常常盯着一个需要放大的按钮,却不得不切换到终端,描述是哪个按钮、它在哪里、属于哪个组件,而且有一半时间 AI 会改错东西。所以我构建了这个工具,只需点击元素并输入需求。它会将截图和选择器直接发送给在内置终端中运行的 Claude Code、Cursor 或 Gemini CLI。AI 看到的画面与用户完全一致。\n\n欢迎分享您的想法!","thumbnail":"https://ph-files.imgix.net/2483301c-27e1-4fe2-9d67-df4e6aa1c842.png?auto=format","date":"2026-02-02","id":"2026-02-02-8-design-in-the-browser","taglineEn":"The visual tool for frontend. Point, click, and let AI code.","descriptionEn":"Design In The Browser lets you point at any element on your website and tell AI what to change. Click a button, a heading, or select text — describe your edit in plain language, and it sends the instruction (with a screenshot) directly to Claude Code, Cursor, or Gemini CLI running in the built-in terminal. No more copying selectors or describing layouts in chat. You see it, you change it, and AI does it. Supports multi-edit queuing, responsive viewports, and your preferred code editor.","topicsEn":["Design Tools","Productivity","Developer Tools"],"firstCommentEn":"Hi everyone! I built Design In The Browser because I was frustrated with the back-and-forth of describing UI changes to AI coding tools.\n\nI'd be staring at a button that needed to be bigger, but then I'd have to switch to the terminal, describe which button, where it was, what component it was in and half the time the AI would change the wrong thing. So I built a tool where you just click the element and type what you want. It sends a screenshot and selector directly to Claude Code, Cursor, or Gemini CLI running in a built-in terminal. The AI sees exactly what you see.\n\nLet me know what you think!","review":"Design In The Browser 精准地解决了前端开发中一个具体而高频的痛点:在视觉界面与 AI 编码工具之间建立直观、无歧义的沟通桥梁。传统模式下,开发者需要将视觉意图转化为精确的文字描述或 CSS 选择器,这个过程不仅低效,还容易因描述不清导致 AI 误解。该产品的核心创新在于将\"所见即所得\"的交互逻辑引入 AI 辅助开发流程,通过\"点击+自然语言描述\"的组合,极大降低了沟通成本。其目标用户是频繁使用 AI 进行代码生成或修改的前端开发者与设计师。优势在于直接集成主流 AI 编码环境(Claude Code、Cursor 等)并支持多任务队列,提升了工作流的连续性。潜在挑战在于对复杂组件或动态生成元素的精准识别,以及在不同代码架构下的通用性。","primaryCategory":"developer-tools","categories":["developer-tools","design-creative","productivity"],"normalizedTopics":["设计、图片与视频","生产力与办公","开发者工具"]},{"name":"ClaudeUsageBar","tagline":"一目了然,精准掌握 Claude 剩余使用额度","description":"一款免费、开源的 macOS 菜单栏应用,实时显示 Claude AI 使用百分比。在达到限额前接收通知。轻量、隐私安全、原生体验。","votesCount":279,"commentsCount":14,"createdAt":"2026-01-31T08:01:00Z","website":"https://www.producthunt.com/r/Y5CVEMRMDMYE4K?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/claudeusagebar?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/4cddac21-0fcd-4800-bf7c-6981913536af.png?auto=format","topics":["开源","开发者工具","菜单栏应用"],"firstComment":"各位开发者们好 👋\n\n和许多人一样,我每天都在使用 Claude,但总被同一个担忧困扰:我的使用限额何时会耗尽?当前会话已消耗了多少?\n\n结果就是,我不得不反复进入\"设置 > 使用情况\"页面查看……几乎每五分钟就要看一次 😅\n\n因此,我开发了 ClaudeUsageBar:一款极简的菜单栏应用,可以一目了然地显示 Claude 使用百分比。\n\n功能亮点:\n\n➡️ 在菜单栏直接显示当前会话(5小时)和每周使用情况\n➡️ 在达到 25%、50%、75% 和 90% 阈值时发送通知,便于合理规划使用节奏\n➡️ 精确显示限额重置时间\n➡️ 同时支持免费版和专业版计划\n➡️ 全局快捷键(Cmd+U),可在任何位置快速查看使用情况\n\n隐私至上:\n\n➡️ 无数据收集,无分析,无遥测\n➡️ 会话 Cookie 仅保存在本地设备\n➡️ 完全开源——每一行代码都可审查\n\n轻量设计:\n\n➡️ 体积小于 5MB\n➡️ 原生支持 Apple Silicon 和 Intel 芯片\n➡️ CPU/内存占用极低\n\n完全免费且开源,欢迎试用!\n\n非常期待大家的反馈或功能建议 🙏","thumbnail":"https://ph-files.imgix.net/43240001-5ce0-4f43-8e55-e2829805e7fc.png?auto=format","date":"2026-01-31","id":"2026-01-31-0-claudeusagebar","taglineEn":"Know exactly how much Claude you have left at a glance","descriptionEn":"Free, open-source macOS menu bar app that displays your Claude AI usage percentage. Get notifications before hitting your limit. Lightweight, private, and native.","topicsEn":["Open Source","Developer Tools","Menu Bar Apps"],"firstCommentEn":"Hey builders 👋\n\nLike many of you, I've been using Claude daily and kept running into the same fear: when will my limit be reached? How much have I consumed in this session?\n\nI ended up going back and forth to Settings > Usage to check... literally every 5 minutes 😅\n\nSo I built ClaudeUsageBar: a minimal menu bar app that shows your Claude usage percentage at a glance.\n\nWhat it does:\n\n➡️ Shows your current session (5-hour) and weekly usage directly in the menu bar\n➡️ Notifies you at 25%, 50%, 75%, and 90% thresholds so you can pace yourself\n➡️ Displays exactly when your limits reset\n➡️ Works with both Free and Pro plans\n➡️ Global shortcut (Cmd+U) to check your usage from anywhere\n\nPrivacy focused:\n\n➡️ No data collection, no analytics, no telemetry\n➡️ Your session cookie stays on your machine\n➡️ Fully open source – inspect every line of code\n\nLightweight:\n\n➡️ Under 5MB\n➡️ Native for Apple Silicon and Intel\n➡️ Minimal CPU/memory footprint\n\nIt's completely free and open source, feel free to try it out!\n\nWould love to hear your feedback or feature suggestions 🙏","review":"ClaudeUsageBar 精准捕捉了 Claude 重度用户的一个核心痛点——使用额度不透明带来的焦虑感。在 AI 服务普遍采用用量限制的背景下,用户往往在\"黑箱\"中操作,无法有效规划使用节奏,导致关键任务可能因额度耗尽而中断。该产品通过极简的菜单栏集成,将原本需要多次点击才能查看的信息前置,实现了\"状态可视化\",本质上是为 AI 服务增加了\"油量表\"功能。其核心价值在于通过主动通知机制,将用户从被动检查中解放出来,提升使用效率和心理安全感。作为一款开源工具,它在隐私保护(无数据收集)和轻量化(\u003c5MB)上的坚持,也精准迎合了开发者群体对工具软件的期待。潜在挑战在于其功能相对单一,用户粘性可能有限,且高度依赖 Claude 官方 API 的稳定性。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","ai-agents"],"normalizedTopics":["开发者工具","生产力与办公","Open Source","Menu Bar Apps"]},{"name":"skills.sh","tagline":"AI Agent 技能目录","description":"发现并安装适用于 AI agent 的技能。技能是 AI agent 可复用的能力。通过一条命令即可安装,为 agent 增强程序性知识的访问能力:npx skills add","votesCount":248,"commentsCount":2,"createdAt":"2026-01-31T08:01:00Z","website":"https://www.producthunt.com/r/KZ6LBX6XO4VY6D?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/vercel?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/be9e05c1-ffed-4d8c-9817-456df32b6b68.jpeg?auto=format","topics":["软件工程","开发者工具"],"firstComment":"skills.sh 感觉就像是 AI agent 领域的 npm:一次安装,agent 能力即刻增强。非常喜欢这个目录提供实时统计数据,极大地节省了时间。","thumbnail":"https://ph-files.imgix.net/593ff5e2-9d11-491c-ab63-9e929e894214.jpeg?auto=format","date":"2026-01-31","id":"2026-01-31-1-skills.sh","taglineEn":"The Agent Skills Directory","descriptionEn":"Discover and install skills for AI agents. Skills are reusable capabilities for AI agents. Install them with a single command to enhance your agents with access to procedural knowledge: npx skills add","topicsEn":["Software Engineering","Developer Tools"],"firstCommentEn":"skills.sh feels like npm for AI agents: install once and your agents instantly power up. Love that the directory provides realtime stats; massive time-saver.","review":"skills.sh 精准地瞄准了 AI agent 生态中一个关键的标准化需求——技能复用与分发。它借鉴了 npm 等成熟包管理器的成功范式,为 AI agent 开发者提供了一个中心化的技能市场。其核心价值在于降低了 agent 能力扩展的门槛,开发者无需重复造轮子,即可通过简单的命令行为 agent 集成各种程序性知识。这极大地加速了复杂 agent 的构建过程,并有望推动 agent 技能生态的标准化和繁荣。目标用户主要是 AI 开发者、研究者和希望快速构建功能丰富 agent 的团队。潜在挑战在于如何确保技能的质量、安全性和兼容性,以及如何建立有效的社区审核与激励机制。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具"]},{"name":"Kalendar.work","tagline":"一款功能齐全的免费 Calendly 替代方案","description":"Kalendar 是一款免费、完全可定制的 Calendly 替代品,专为追求控制权而非被锁定的团队设计。可创建预约链接、管理可用时间、添加自有品牌标识,并运行无限数量的事件类型,无需按席位付费或面临人为限制。Kalendar 基于 Founding.dev 构建,能够随着需求增长而适应工作流程。其设计初衷是让用户长期拥有、扩展和使用,而非仅仅是租用。","votesCount":248,"commentsCount":30,"createdAt":"2026-01-30T08:01:00Z","website":"https://www.producthunt.com/r/UINEYO6EAUSV6K?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/kalendar-work-the-calendly-replacement?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/77893e26-d9eb-41ae-8d13-3790bcd432a2.png?auto=format","topics":["生产力","SaaS","开发者工具"],"firstComment":"大家好,猎手们👋\n\nKalendar 是一款免费、完全可定制的 Calendly 替代品,今天就可以开始使用。\n\n我们在 Founding.dev 开发了它,因为我们看到许多团队为那些僵化、昂贵且难以随业务增长而调整的日程安排工具付费。\n\n这是我们构建的模板之一,我们的使命是帮助公司利用 AI 构建自己的 SaaS 工具,而不是在昂贵的订阅上浪费数千美元。\n\n我会在这里待一整天,非常期待大家的反馈,并乐意回答问题。","thumbnail":"https://ph-files.imgix.net/fe91c2fb-fcd5-4f50-8ccd-99c479f3376d.gif?auto=format","date":"2026-01-30","id":"2026-01-30-1-kalendar.work","taglineEn":"A free fully featured Calendly alternative","descriptionEn":"Kalendar is a free, fully customizable Calendly replacement for teams that want control, not lock-in. Create booking links, manage availability, add your own branding, and run unlimited event types without per-seat pricing or artificial limits. Kalendar is built on Founding.dev and can be adapted to your workflows as your needs grow. It's designed to be owned, extended, and used long-term not rented.","topicsEn":["Productivity","SaaS","Developer Tools"],"firstCommentEn":"Hi Hunters👋\n\nKalendar is a free, fully customizable Calendly replacement you can start using today.\n\nWe built it at Founding.dev after seeing teams pay for scheduling tools that were rigid, expensive, and hard to adapt as they grew.\n\nThis is one of the templates we've built and we're on a mission to help companies build their own SaaS tools with AI instead of wasting thousands of dollars on expensive subscriptions. \n\nI'll be here all day, would love your feedback and happy to answer questions.","review":"Kalendar.work 精准切入日程安排工具市场的痛点,即现有主流方案(如 Calendly)的定价模式僵化和功能扩展性不足。其核心价值主张在于\"所有权\"而非\"租用\",通过提供免费、无席位限制且完全可定制的解决方案,直接挑战了 SaaS 领域普遍的订阅制商业模式。目标用户是寻求成本控制、品牌自主和技术灵活性的中小团队及开发者。产品基于 Founding.dev 平台构建,这暗示了其作为可扩展模板的定位,旨在赋能用户自行构建工具,而不仅仅是提供一个成品。其创新点在于将工具本身与\"构建工具的能力\"相结合,潜在挑战在于如何平衡免费模式的可持续性与功能深度,以及如何应对更成熟竞品的生态整合优势。","primaryCategory":"developer-tools","categories":["developer-tools","productivity"],"normalizedTopics":["生产力与办公","SaaS","开发者工具"]},{"name":"Archimyst","tagline":"AI驱动的系统架构设计平台","description":"面向现代工程团队的智能架构绘图工具。在几分钟内完成设计、模拟和文档编写。Archimyst 是一个由 AI 驱动的系统设计平台,能够将想法转化为可直接投入生产的后端架构。在系统触及真实用户之前,通过压力测试性能、成本和故障场景,在几分钟内生成、模拟和验证云系统。","votesCount":135,"commentsCount":11,"createdAt":"2026-01-30T08:01:00Z","website":"https://www.producthunt.com/r/U6CMVCIPKAKNIS?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/archimyst?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/8d69dc13-67b0-4bc0-b86e-8ae7f441d464.png?auto=format","topics":["API","开发者工具","人工智能"],"firstComment":"大家好 👋\n\n我是 Hritvik,Archimyst 的创始人。我们之所以构建这个产品,是因为我们不断看到优秀的系统设计在生产环境中失败——并非因为想法有误,而是因为架构从未在真实世界的负载、故障和成本约束下得到真正的测试。\n\nArchimyst 能将一个简单的提示转化为一个可测试的、动态的后端架构。在编写任何一行生产代码之前,就可以模拟流量峰值、服务中断、扩展限制和云成本。\n\n我们处于早期阶段,正在与社区积极共建,因此非常期待大家的反馈——尤其是来自工程师、创始人和站点可靠性工程师的反馈。你最希望在发布前安全测试哪个架构问题?","thumbnail":"https://ph-files.imgix.net/4668e69d-cec5-45a9-a79b-8c3a77c2da6d.png?auto=format","date":"2026-01-30","id":"2026-01-30-4-archimyst","taglineEn":"AI-powered platform for designing system architecture","descriptionEn":"The intelligent architecture diagramming tool for modern engineering teams. Design, simulate, and document in minutes.Archimyst is an AI-powered system design platform that transforms ideas into production-ready backend architectures. Generate, simulate, and validate cloud systems in minutes by stress-testing performance, cost, and failure scenarios before they reach real users.","topicsEn":["API","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey 👋\n\nI'm Hritvik, the founder of Archimyst. We built this because we kept seeing great system designs fail in production not because the idea was wrong, but because the architecture was never truly tested under real world load, failures, and cost constraints.\n\nArchimyst turns a simple prompt into a living, testable backend architecture. You can simulate traffic spikes, outages, scaling limits, and cloud costs before writing a single line of production code.\n\nWe're early and actively building with the community, so I'd love your feedback — especially from engineers, founders, and SREs. What's the one architecture problem you wish you could safely test before shipping?","review":"Archimyst 瞄准了系统架构设计从图纸到落地之间的关键断层。传统架构设计往往停留在理论层面,缺乏对真实生产环境中负载、故障和成本的预演,导致许多设计在部署后暴露出严重问题。该产品的核心创新在于将 AI 生成与模拟验证深度结合,不仅快速生成架构图,更提供了一个\"沙盒\"环境,让工程师能在编码前就对性能瓶颈、容错能力和成本效益进行压力测试。这极大地降低了技术决策风险,尤其适合初创团队、SRE 和需要快速迭代的云原生项目。其挑战在于模拟的准确性高度依赖其底层模型对复杂分布式系统行为的理解深度,以及如何平衡模拟的简化与真实世界的复杂性。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","finance-business"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"YepCode","tagline":"开发者优先的 AI 集成平台:安全构建、运行与扩展","description":"YepCode 是一个以开发者为核心的平台,用于构建、运行和扩展 AI 驱动的集成。使用真实的 JavaScript/Python 编写代码,调用任何 npm/PyPI 包,并利用平台内置的基础设施直接部署:包括安全的执行沙箱、密钥管理、Webhook、任务调度、日志和审计。核心亮点包括:Yep Agent(从提示词生成可运行流程)、MCP 服务器/工具(将代码转化为 agent 工具)以及 YepCode Run(无服务器运行时 + SDK)。","votesCount":108,"commentsCount":7,"createdAt":"2026-01-30T08:01:00Z","website":"https://www.producthunt.com/r/CMLPEB7GBMWDUG?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/yepcode?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/6da072f5-45db-4670-8a0c-ee80cb7f39a7.png?auto=format","topics":["软件工程","开发者工具","GitHub","氛围编程"],"firstComment":"👋 Product Hunt 的朋友们好——我是 YepCode 的联合创始人 Marcos。\n\n在 AI agent 时代,瓶颈不在于思考,而在于执行。Agent 需要安全地访问内部 API/数据库/SaaS,并需要一个可靠的环境来运行生成的代码,同时管理密钥、日志、调度和治理。\n\nYepCode 是一个以开发者为核心的平台,旨在更快、更安全地构建、运行和扩展 AI 驱动的集成。它非常适合那些已经触及无代码工具极限、需要更高灵活性的用户。\n\n自上次发布以来的新功能包括:Yep Agent(从提示词生成可运行的 JS/Python 流程)、MCP 服务器/工具(将代码转化为工具)以及 YepCode Run(无服务器沙箱 + SDK - NPM - PyPI)。\n\n欢迎留言分享想要自动化的任务,我们将回复建议的提示词和工具分解方案。","thumbnail":"https://ph-files.imgix.net/b449373b-b9b2-44f2-b1fd-bcab19997f69.gif?auto=format","date":"2026-01-30","id":"2026-01-30-9-yepcode","taglineEn":"Developer-first AI integrations: build, run, scale safely","descriptionEn":"YepCode is a developer-first platform to build, run, and scale AI-powered integrations. Write real JavaScript/Python, use any npm/PyPI package, and ship with the platform plumbing included: secure execution sandboxes, secrets, webhooks, scheduling, logs, and audit. Highlights: Yep Agent (prompt → runnable processes), MCP server/tools (turn code into agent tools), and YepCode Run (serverless runtime + SDK).","topicsEn":["Software Engineering","Developer Tools","GitHub","Vibe coding"],"firstCommentEn":"👋 Product Hunt — I'm Marcos, co-founder of YepCode.\n\nIn the age of AI agents, the bottleneck isn't thinking—it's doing. Agents need safe access to internal APIs/DBs/SaaS and a reliable place to run generated code with secrets, logs, scheduling and governance.\n\nYepCode is the developer-first platform to build, run, and scale AI-powered integrations—faster and safer. It's perfect for anyone who has reached the limits of no-code tools and needs more flexibility.\n\nNew since our last launches: Yep Agent (prompt → runnable JS/Python processes), MCP server/tools (turn code into tools), and YepCode Run (serverless sandboxes + SDK - NPM - PyPI).\n\nComment what you want to automate and we'll reply with a suggested prompt + tool breakdown.","review":"YepCode 精准切入 AI 应用落地的核心痛点——从\"思考\"到\"执行\"的鸿沟。它定位为\"开发者优先\"的 AI 集成平台,旨在为 AI agent 提供安全、可控的执行环境。其核心价值在于将灵活的开发能力(真实 JS/Python、完整包生态)与生产级运维能力(沙箱、密钥、调度、审计)深度融合,解决了当前 AI 项目在连接内部系统、处理敏感数据和实现复杂工作流时面临的安全与工程化挑战。目标用户是已超越无代码工具限制、需要定制化集成的开发者和技术团队。其创新点在于将 MCP 协议、无服务器运行时与传统的集成平台能力结合,为 AI 驱动的自动化提供了可编程、可扩展的底层基础设施。潜在挑战在于如何平衡开发者友好性与开箱即用的简易性,以及在竞争激烈的集成平台市场中建立差异化优势。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","Vibe coding"]},{"name":"Kilo Code Reviewer","tagline":"开启 PR 即刻获得 AI 驱动的自动化代码审查","description":"自动化代码审查 agent 可分析拉取请求、提出改进建议、发现潜在缺陷并确保代码质量符合标准。从 500 多种模型(Claude、GPT、Gemini 及多个免费选项)中选择,在合并代码前即刻获得反馈。","votesCount":492,"commentsCount":79,"createdAt":"2026-01-27T08:01:00Z","website":"https://www.producthunt.com/r/UC7UGH7TPGH7PX?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/kilocode?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/2ac59e44-1404-4345-b1bc-32dcb863fb57.png?auto=format","topics":["开源","软件工程","开发者工具","GitHub"],"firstComment":"大家好,Product Hunt!👋\n\n我是 Kilo 的开发者关系负责人 Brian。我们构建 @Kilo Code Code Reviewer 旨在消除 PR 流程中的瓶颈。\n\n当开启 PR 时,它会自动运行,在团队成员查看之前就发现安全问题、性能问题和风格不一致之处,并提供评论和内联建议。\n\n使用 MiniMax M2.1 和 GLM 4.7 等模型是完全免费的——或者也可以选择来自 @Claude by Anthropic、@Gemini 的最新模型,或从 500 多种支持的模型中任选偏好的一款。\n\n你最大的代码审查痛点是什么?","thumbnail":"https://ph-files.imgix.net/1a41e8bf-2f29-42ee-8bce-d99357ebc0fb.gif?auto=format","date":"2026-01-27","id":"2026-01-27-0-kilo-code-reviewer","taglineEn":"Automatic AI-powered code reviews the moment you open a PR","descriptionEn":"Automated code review agents that analyze pull requests, suggest improvements, catch bugs, and ensure code quality standards. Pick from 500+ models (Claude, GPT, Gemini, and several free options) to get instant feedback before merging.","topicsEn":["Open Source","Software Engineering","Developer Tools","GitHub"],"firstCommentEn":"Hey Product Hunt! 👋\n\nBrian, DevRel from Kilo here. We built @Kilo Code Code Reviewer to kill PR bottlenecks.\n\nIt runs automatically when you open a PR, catching security issues, performance problems, and style inconsistencies before your teammates even look at it, and offers comments and inline suggestions.\n\nIt's completely free with models like MiniMax M2.1 and GLM 4.7 - or use the latest from @Claude by Anthropic, @Gemini, or whatever you prefer from over 500 supported models.\n\nWhat's your biggest code review pain point?","review":"Kilo Code Reviewer 精准切入软件开发流程中一个普遍且耗时的环节——代码审查。它通过引入 AI agent 实现自动化审查,旨在解决传统人工审查效率低、反馈延迟、标准不一等痛点。产品的核心创新在于其\"即时性\"和\"模型可选性\":在 PR 开启瞬间即启动审查,并能从超过 500 种 LLM 模型中选择,这赋予了团队极大的灵活性和成本控制能力。其目标用户明确为开发团队,尤其是那些追求高效 CI/CD 流程、希望将资深开发者从重复性审查工作中解放出来的团队。优势在于能提前发现安全、性能、风格等基础问题,为人工审查提供高质量前置过滤。潜在挑战在于 AI 审查的准确性和深度,对于复杂业务逻辑或架构设计的判断仍需人类经验,且如何与团队现有工作流(如 Jira、Slack)深度集成也是影响采纳的关键。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","Open Source"]},{"name":"Moltbot","tagline":"真正能执行任务的AI","description":"Clawbot 将计算机转变为全天候可用的个人 agent,可通过任何聊天应用访问。控制浏览器、执行 shell 命令、管理文件,并通过 WhatsApp 或 Telegram 自动化工作流程。具备持久记忆、完整系统访问权限、本地隐私保护以及 50 多种集成功能。","votesCount":408,"commentsCount":20,"createdAt":"2026-01-27T08:01:00Z","website":"https://www.producthunt.com/r/L54FGYTAA3FXZT?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/clawdbot-2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/b3455deb-c469-46fa-9fdd-0d7bb8f78a9e.png?auto=format","topics":["开源","开发者工具","人工智能","GitHub"],"firstComment":"大家好,Product Hunt!\n\n大多数 AI 助手都被困在浏览器标签页里。它们能生成文本,但无法执行任何实际任务。我发现 Clawbot 非常有趣——它将改变这一现状。\n\nClawbot 是一个自托管的 agent,运行在本地机器上(Mac、Windows 或 Linux)。它弥合了 LLM 智能与操作系统能力之间的鸿沟。\n\n它的独特之处是什么?\n- 🏠 本地化与隐私:数据始终保存在本地机器上。\n- 📱 随处聊天:可通过 WhatsApp、Telegram、Signal 或 Slack 进行交互。\n- ⚡ 真实行动:不仅能对话,还能打开浏览器、填写表单、运行终端命令以及编辑文件。\n- 🧠 记忆:它能记住用户,无需每次会话都从头开始。\n\n它完全可定制并支持插件扩展。期待看到大家为它构建的技能。\n\n也许 AI 将迈入下一个阶段。","thumbnail":"https://ph-files.imgix.net/a15ae988-f9b3-403f-b470-a5ef1d15162c.png?auto=format","date":"2026-01-27","id":"2026-01-27-1-moltbot","taglineEn":"The AI that actually does things","descriptionEn":"Clawbot turns your computer into a 24/7 personal agent accessible from any chat app. Control your browser, execute shell commands, manage files, and automate workflows via WhatsApp or Telegram. Features persistent memory, full system access, local privacy, and 50+ integrations.","topicsEn":["Open Source","Developer Tools","Artificial Intelligence","GitHub"],"firstCommentEn":"Hi Product Hunt!\nMost AI assistants are trapped in a browser tab. They can generate text, but they can't do anything. I found Clawbot really interesting - it is gonna change that.\nClawbot is a self-hosted agent that lives on your machine (Mac, Windows, or Linux). It bridges the gap between LLM intelligence and your operating system's capabilities.\nWhat makes it different?\n- 🏠 Local & Private: Your data stays on your machine.\n- 📱 Chat Anywhere: It texts you back on WhatsApp, Telegram, Signal, or Slack.\n- ⚡ Real Action: It doesn't just talk. It can open browsers, fill forms, run terminal commands, and edit files.\n- 🧠 Memory: It remembers you. No more starting from scratch every session.\n\nIt's fully hackable and open to plugins. I'd love to see what skills you build for it.\n\nMaybe AI moves on to next stage.","review":"Moltbot(Clawbot)瞄准了当前 AI 助手领域的一个核心痛点:智能与行动之间的脱节。它不再满足于充当一个被动的文本生成器,而是通过赋予 AI 直接操作系统和应用程序的能力,使其成为一个能\"动手\"的智能体。其核心创新在于将 LLM 的决策能力与本地系统的执行权限相结合,并通过主流聊天应用作为交互界面,极大地降低了使用门槛。自托管和本地隐私的设计,精准地回应了企业对数据安全的关切,使其在开发者、运维人员和追求自动化的工作者中具有吸引力。然而,赋予 AI 如此高的系统权限也带来了潜在的安全风险,对权限管理和操作审计提出了更高要求。这标志着 AI 从\"思考\"向\"执行\"演进的重要一步,但其大规模应用仍需在安全性与便利性之间找到平衡点。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","hardware-platforms"],"normalizedTopics":["开发者工具","AI 与智能体","Open Source"]},{"name":"ShapedQL","tagline":"专为搜索、信息流和AI Agent打造的SQL引擎","description":"无需再将 Pinecone、Redis 和 Python 脚本拼凑在一起。ShapedQL 是专为相关性设计的 SQL 引擎,能在几分钟内为\"为你推荐\"信息流、搜索和 RAG 记忆系统提供动力。它将简单的 SQL 语句编译成实时排序管道,基于实时用户行为对结果进行检索、过滤、评分和重新排序。用 30 行 SQL 代码替代数千行基础设施代码。凭借原生多模态嵌入和自动化 MLOps,ShapedQL 帮助构建实时决策系统,而不仅仅是文档检索。","votesCount":153,"commentsCount":17,"createdAt":"2026-01-27T08:01:00Z","website":"https://www.producthunt.com/r/243HBFQOAGURQ2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/shaped?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/8802ce27-1f05-4165-9027-3a0359ae0431.jpeg?auto=format","topics":["软件工程","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt!👋\n\n我是 Tullie,Shaped 的创始人兼 CEO。此前,我是 Meta AI 的研究员,领导过多个机器学习团队,其中包括专注于 Instagram Reels 和广告视频排序的团队。我还创建了 PyTorchVideo,并且是 PyTorch Lightning 的核心贡献者。\n\n我们构建 ShapedQL 是因为意识到,虽然检索变得更容易了(得益于向量数据库),但排序和相关性仍然极其困难。\n\n与我们交流的大多数工程团队都困于维护一个\"弗兰肯斯坦\"式的技术栈。为了构建一个\"为你推荐\"信息流或为 AI Agent 提供个性化记忆,他们不得不将向量数据库、特征存储(如 Redis)、重排序服务以及数千行杂乱的 Python 代码拼凑在一起。\n\n我们构建 ShapedQL,就是为了将这个\"纸牌屋\"变成一个统一的接口。\n\nShapedQL 是一种领域特定的 SQL 方言,可编译为高性能、多阶段的排序管道。通过一个查询,就能定义现代相关性系统的四个阶段:\n1. 检索:从多个来源(混合搜索、协同过滤、热门趋势)获取候选内容。\n2. 过滤:应用硬性约束(例如,\"有库存\"或\"50 英里以内\")。\n3. 评分:使用实时机器学习模型对结果进行排序(优化点击、购买或观看时长)。\n4. 重新排序:强制多样性,避免用户(或 Agent)反复看到相同的 5 个项目。\n\n我们看到,团队们将 2000 多行维护代码减少到大约 30 行 ShapedQL 代码,同时将\"购物车追加销售\"或\"Agent 记忆\"等功能的上线时间从数月缩短到数天。\n\n如果不喜欢 SQL,也可以选择 Python 或 Typescript SDK。\n\n非常期待听到大家的反馈,并回答关于语法或底层工作原理的任何问题!🚀","thumbnail":"https://ph-files.imgix.net/8d7262f8-9277-4856-a3b1-3ab6c22a6582.png?auto=format","date":"2026-01-27","id":"2026-01-27-4-shapedql","taglineEn":"The SQL engine for search, feeds, and AI agents","descriptionEn":"Stop gluing Pinecone, Redis, and Python scripts together. ShapedQL is the SQL engine for relevance - powering \"For You\" feeds, Search, and RAG memory in minutes. It compiles simple SQL into real-time ranking pipelines that retrieve, filter, score, and reorder results based on live user behavior. Replace thousands of lines of infra with 30 lines of SQL. With native multi-modal embeddings and automated MLOps, ShapedQL helps you build real-time decisions, not just document retrieval.","topicsEn":["Software Engineering","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hi Product Hunt! 👋\n\nI'm Tullie, the founder and CEO of Shaped. Previously I was a researcher at Meta AI, leading several ML teams including one focused on Instagram Reels and Ads video ranking. I also created PyTorchVideo and was a core contributor to Pytorch Lightning.\n\nWe built ShapedQL because we realized that while retrieval has become easier (thanks to Vector DBs), ranking and relevance are still incredibly hard. \n\nMost engineering teams we talk to are stuck maintaining a \"Frankenstein\" stack. To build a \"For You\" feed or give an AI Agent personalized memory, they have to glue together a vector database, a feature store (like Redis), a reranking service, and thousands of lines of Python spaghetti code. \n\nWe built ShapedQL to turn that \"house of cards\" into a single interface. \n\nShapedQL is a domain-specific SQL dialect that compiles down to a high-performance, multi-stage ranking pipeline. With a single query, you can define the four stages of modern relevance: \n1. Retrieve: Fetch candidates from multiple sources (Hybrid Search, Collaborative Filtering, Trending). \n2. Filter: Apply hard constraints (e.g., \"in stock\" or \"within 50 miles\"). \n3. Score: Rank results using real-time ML models (optimizing for clicks, purchases, or watch time).\n4. Reorder: Enforce diversity so your users (or Agents) don't see the same 5 items repeatedly. \n\nWe're seeing teams reduce 2,000+ lines of maintenance code down to ~30 lines of ShapedQL, while shipping features like \"Cart Upsell\" or \"Agent Memory\" in days instead of months.\n\nIf you're not a fan of SQL you can also choose from Python or Typescript SDK's. \n\nI'd love to hear your feedback and answer any questions about the syntax or how it works under the hood! 🚀","review":"ShapedQL 精准地切入了一个日益凸显的工程痛点:在 AI 应用(如个性化推荐、搜索、RAG)中,构建和维护一套高效、统一的相关性排序系统异常复杂。它没有停留在\"又一个向量数据库\"的层面,而是提出了更高维度的抽象——将检索、过滤、评分、重排序这四个核心阶段统一封装为一种 SQL 方言。这种设计理念极具洞察力,旨在用声明式的简洁语法替代大量过程式的胶水代码,直接提升开发效率和系统可维护性。其目标用户明确为需要构建复杂推荐、搜索或 AI Agent 记忆系统的中大型工程团队。创始人深厚的 Meta AI 和 PyTorch 背景为其技术可信度提供了有力背书。潜在挑战在于,这种高度抽象的 DSL(领域特定语言)需要开发者学习新的语法,且其性能表现和灵活性在极端复杂场景下能否完全替代手写优化代码,仍需市场验证。总体而言,这是一个面向未来的、旨在简化 AI 基础设施层的创新产品。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Forums","tagline":"为 GitHub 仓库提供 AI 驱动的问答服务","description":"针对任何代码仓库提问,AI agent 将克隆、探索并检索源代码,提供基于源码的准确答案。","votesCount":205,"commentsCount":15,"createdAt":"2026-01-25T08:01:00Z","website":"https://www.producthunt.com/r/NSSHYLNJQJBNBP?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/basehub?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/3b8cea04-3d94-4130-b027-4afed9db616c.png?auto=format","topics":["开源","开发者工具","GitHub"],"firstComment":"gm PH 👋\n\n我们构建 Forums 是因为厌倦了这样的循环:找到一个开源库,发现文档已过时,最终不得不花数小时钻研源代码。\n\n或者与 Claude 等模型对话……结果发现它们也因为知识截止日期而拥有陈旧的数据。\n\n于是我们想:如果能直接向代码仓库提问会怎样?\n\nForums 允许向任何公开的 GitHub 仓库提问,并获得基于源码的答案。我们在 Vercel 沙箱中克隆仓库,agent 会检索代码并找到真实答案。没有幻觉。没有过时的文档。只有源码。\n\n获得的功能:\n提问 - 提出问题,AI 探索代码,准确展示相关内容的位置\n\nMCP 服务器 - 接入 Claude Code、Cursor 或任何 MCP 客户端。无需离开编辑器即可询问外部仓库\n\nCLI + 技能 - 针对任何公开仓库运行命令,无需本地克隆。甚至无需登录 Forums……直接使用。\n\n我们一直在使用它。集成新库?调试奇怪行为?这比询问一个基于一年前代码版本训练的 LLM 要快得多。\n\n很想知道大家会用它来探索哪些仓库。","thumbnail":"https://ph-files.imgix.net/37a78cb1-3c56-4fba-8add-9a1c2f61f94a.png?auto=format","date":"2026-01-25","id":"2026-01-25-2-forums","taglineEn":"AI-powered Q&A for GitHub repositories.","descriptionEn":"Ask questions about any repo and AI agents will clone, explore, and grep the source code to provide source-backed answers.","topicsEn":["Open Source","Developer Tools","GitHub"],"firstCommentEn":"gm PH 👋\n\nWe built Forums because we got tired of the same loop: find an open source library, docs are outdated, end up digging through source code for hours.\n\nOr chatting with claude and friends... just to see that they too have stale data due to their knowledge cutoff.\n\nSo we thought: what if you could just ask the repo directly?\n\nForums lets you ask any public GitHub repo a question and get source-backed answers. We clone the repo in a Vercel Sandbox, and the agent greps through the code, and finds real answers. No hallucinations. No stale docs. Just the source.\n\nWhat you get:\nAsk - Ask questions, AI explores the code, shows you exactly where things live\n\nMCP server - Plug into Claude Code, Cursor, or any MCP client. Ask about external repos without leaving your editor\n\nCLI + skill - Run commands against any public repo without cloning locally. And without signing in to Forums at all... let it rip.\n\nWe use it constantly. Integrating a new library? Debugging weird behavior? Faster than asking an LLM that was trained on a year-old version of the code.\n\nWould love to hear what repos you try it on.","review":"Forums 精准地解决了开发者使用开源项目时的一个核心痛点:文档过时与信息获取效率低下。传统方式下,开发者要么依赖可能陈旧的官方文档,要么花费大量时间阅读源代码,而通用大语言模型又受限于其训练数据的时效性。Forums 的创新在于将 AI agent 与实时代码库直接对接,通过克隆和检索(grep)源码来提供\"零幻觉\"的答案,确保了信息的准确性和即时性。其提供的 MCP 服务器集成和 CLI 工具,进一步将能力无缝嵌入开发工作流,提升了工具的使用便利性。目标用户明确为需要频繁集成、调试或学习第三方开源库的开发者。其核心优势在于\"源码即真理\"的可靠性。潜在挑战在于处理大型或复杂仓库时的性能与成本,以及如何将代码的静态分析与动态行为理解相结合,以回答更深层次的架构或逻辑问题。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","Open Source"]},{"name":"Omia Studio","tagline":"用 AI + Python 生成线框图和真实应用","description":"一个 AI 原生的开发工作室,用于构建真实的 Web/移动应用:AI 根据线框图或提示词自动组装前端界面;开发者使用 Python 连接后端逻辑——几分钟内即可交付产品。专为应用设计师和开发者提供清晰可控的开发流程,同时支持团队协作。","votesCount":20,"commentsCount":2,"createdAt":"2026-01-25T08:01:00Z","website":"https://www.producthunt.com/r/WJTRNOANLTCRLE?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/omia-studio?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/6bec7b60-c99f-4630-a12e-7ba7a496019f.jpeg?auto=format","topics":["设计工具","开发者工具","人工智能"],"firstComment":"厌倦了反复重建线框图,疲于应付那些永远记不全的框架、库和 CSS 规则。这个工作室旨在简化这一切。","thumbnail":"https://ph-files.imgix.net/23ae990d-22ef-4433-929f-44e0d3be6b62.png?auto=format","date":"2026-01-25","id":"2026-01-25-6-omia-studio","taglineEn":"Generate wireframes and real apps with AI + Python","descriptionEn":"An AI‑native studio to build real web/mobile apps: AI assembles the frontend from your wireframes or prompts; you connect your backend in Python—ship in minutes. Designed to provide clean control for application designers and developers while enabling collaboration.","topicsEn":["Design Tools","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Got tired of rebuilding wireframes, juggling frameworks, libraries, and CSS rules that I could never fully memorize. The studio is meant to ease all that.","review":"Omia Studio 精准地瞄准了从设计到开发流程中的效率瓶颈。传统上,设计师的线框图与工程师的代码实现之间存在巨大的鸿沟,Omia Studio 通过 AI 作为桥梁,将视觉设计意图直接转化为可运行的前端代码,这极大地缩短了原型验证和产品迭代的周期。其核心创新在于将 AI 生成能力与 Python 后端控制相结合,既保证了前端开发的自动化效率,又为开发者保留了核心业务逻辑的完全控制权。目标用户是那些追求快速产品化的独立开发者、初创团队以及希望提升协作效率的设计与开发组合。潜在挑战在于 AI 生成代码的复杂场景适应性与可维护性,以及如何平衡自动化与定制化需求。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","design-creative"],"normalizedTopics":["设计、图片与视频","开发者工具","AI 与智能体"]},{"name":"ALGO - Interface for working with AI","tagline":"多AI系统协作与团队工作软件","description":"一个仪表板,集成所有AI模型,实现真正的协作。无需在ChatGPT、Claude、Gemini等平台间频繁切换。通过单一界面即可访问超过300个AI模型。使用DAPITA模式,可将来自不同会话和文件夹的数据同时发送到一个会话或多个模型中。在对话过程中启用会议模式,可从其他模型获取澄清说明。通过会话中的会话功能,与实时在线的团队成员讨论AI的回复。所有功能集成于一个界面,专为团队协作设计。","votesCount":9,"commentsCount":1,"createdAt":"2026-01-25T08:01:00Z","website":"https://www.producthunt.com/r/Q552377HR65D3N?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/algo-interface-for-working-with-ai?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/6096f79b-4823-45f3-92bb-ad7880fb849d.png?auto=format","topics":["生产力","开发者工具","人工智能"],"firstComment":"日常工作中需要与多个AI协作,我和许多人一样,遇到了诸如上下文窗口意外终止、需要为新会话搜索更新信息、在不同界面中查找文件时搜索困难、为了修复其他模型在代码/图像/逻辑中的问题而不断在不同模型和提供商之间切换,以及与团队成员无休止地共享数据等问题。我决定为自己、为团队协作,创建一个采用全新方法的界面。DAPITA Algo允许将工作成果集中存储在一处,使用多个模型,与团队在线进行对话和讨论,探讨模型的回复,并能瞬间汇集来自先前会话的上下文。这只是功能的一部分,但最酷的是DAPITA模式!","thumbnail":"https://ph-files.imgix.net/94f5e3fd-cc59-4411-8a3d-1d46d40b9f4f.webp?auto=format","date":"2026-01-25","id":"2026-01-25-8-algo---interface-for-working-with-ai","taglineEn":"Software for working with multiple AI systems and teamwork","descriptionEn":"One Dashboard. All AI Models. Real Collaboration. Stop switching between ChatGPT, Claude, Gemini, and others. Access 300+ AI models from a single interface. Use DAPITA Mode to send data from different chats and folders into one chat or multiple models at once. Use Meeting Mode during chat to get clarification from other models. Use Chat-in-Chat to discuss AI responses with your live team. All in one interface. Team working.","topicsEn":["Productivity","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Working daily with multiple AIs, I, like many others, encountered problems such as unexpected context window termination and the need to search for updated information for a new chat, files in different interfaces with problematic search, constant switching between models and providers to work on fixes and bugs in other models in code/images/logic, and endless data sharing with other team members. I decided to create an interface for myself, for teamwork, and with a fundamentally new approach. DAPITA Algo allows you to store the results of your work in one place, use multiple models, conduct dialogues and discussions online with your team, discuss model responses, and gather context from previous chats in moments. This is only part of the functionality, but the coolest thing is DAPITA MODE!","review":"ALGO 精准地捕捉了当前AI应用生态中的一个核心痛点:模型碎片化与协作壁垒。随着ChatGPT、Claude、Gemini等主流模型各具特色,开发者和专业用户往往被迫在多个平台间切换,导致工作流割裂、信息分散、效率低下。ALGO的创新之处在于,它不仅是一个聚合300+模型的\"统一入口\",更通过DAPITA模式、会议模式和Chat-in-Chat等功能,构建了一个支持数据流聚合、多模型协同推理以及实时团队讨论的协作环境。这使其超越了简单的工具聚合,向\"AI协作操作系统\"迈进。其目标用户明确为需要深度、复杂AI协作的开发者团队和专业人士。潜在挑战在于如何平衡功能的复杂性与用户体验的简洁性,以及如何持续集成和优化日益增多的模型API。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["生产力与办公","开发者工具","AI 与智能体"]},{"name":"Tonkotsu","tagline":"在文档中管理一支编码智能体团队","description":"Tonkotsu 提供了一种全新的思路:通过一个简洁、专注的图形界面,在文档中管理一支编码智能体团队。在我们的早期体验计划期间完全免费。","votesCount":291,"commentsCount":41,"createdAt":"2026-01-23T08:01:00Z","website":"https://www.producthunt.com/r/S447QNSUNBRDF3?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/tonkotsu?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/125e8ba2-a0e4-4236-ac7b-6a0df2965807.png?auto=format","topics":["软件工程","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt!👋 我是 Tonkotsu 的创始人 Derek。\n\n我们相信,开发者当下需要的是一种根本性的新工具,而不是另一个集成开发环境或命令行界面。Tonkotsu 将开发者提升为编码智能体团队的经理:负责做出关键决策,并将其余工作委派出去。它提供了一种平静、现代的工作流,没有无穷无尽的旋钮和配置,却能带来更高的杠杆效应。\n\n今天能与 Product Hunt 社区分享 Tonkotsu,我们感到无比兴奋 🚀\n\n欢迎提出任何问题、给予反馈,或分享 AI 驱动的开发工作流正在如何改变。我们将全天在线交流。","thumbnail":"https://ph-files.imgix.net/a00a2e5b-73fc-4f15-819c-851055708620.png?auto=format","date":"2026-01-23","id":"2026-01-23-0-tonkotsu","taglineEn":"Manage a team of coding agents from a doc","descriptionEn":"Tonkotsu is a fresh approach: a clean, focused GUI that lets you manage a team of coding agents from a doc. FREE during our early access program.","topicsEn":["Software Engineering","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Product Hunt! 👋 I'm Derek, founder of Tonkotsu.\n\nWe believe developers need a fundamentally new tool for this moment, not another IDE or CLI. Tonkotsu elevates you as the manager of a team of coding agents: you make the key decisions and delegate the rest. It's a calm, modern workflow without endless knobs and config, but a lot more leverage.\n\nWe're so excited to share Tonkotsu today with the Product Hunt community 🚀\n\nAsk us anything, give us feedback, or share how your AI-powered development workflow is changing. We'll be around to chat all day.","review":"Tonkotsu 精准地捕捉了 AI 辅助编程领域的一个关键演进趋势:从单一智能体工具向多智能体协作平台的转变。其核心创新在于将开发者定位为\"管理者\",而非单纯的操作者,通过文档界面协调多个编码智能体,这极大地提升了开发流程的抽象层级和并行处理能力。产品解决了传统 AI 编码工具交互复杂、上下文切换频繁的痛点,旨在提供一个\"平静、现代\"的工作流。目标用户是寻求更高开发效率、希望将重复性编码任务委派给 AI 的专业开发者或技术团队。其优势在于清晰的\"人机协作\"定位和简洁的 GUI 设计。潜在挑战在于如何有效管理多个智能体之间的协作与一致性,以及如何平衡\"简洁\"与\"深度定制\"的需求,避免功能过于局限。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"nlsh","tagline":"用自然语言与终端对话","description":"一个将纯英文翻译成 Shell 命令的终端界面。无需记忆复杂的命令参数,只需输入想要执行的操作即可。","votesCount":157,"commentsCount":7,"createdAt":"2026-01-23T08:01:00Z","website":"https://www.producthunt.com/r/YJW4UIRZRN6EY4?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/nlsh?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/330be689-1f1b-4550-887d-90820e16f6ab.png?auto=format","topics":["开源","编程语言","开发者工具","GitHub"],"firstComment":"这是基于 Gemini 的吗?但如果我有 Gemini,我就可以直接使用 Gemini CLI。你有什么特色功能,以及它比 Gemini CLI 好在哪?","thumbnail":"https://ph-files.imgix.net/ca91f6d4-9b0f-450a-b472-515031ee6f59.png?auto=format","date":"2026-01-23","id":"2026-01-23-3-nlsh","taglineEn":"talk to your terminal in natural language","descriptionEn":"A terminal interface that translates plain English into shell commands. Stop memorizing flags. Just type what you want.","topicsEn":["Open Source","Languages","Developer Tools","GitHub"],"firstCommentEn":"It is Gemini-based. But if I have Gemini, I can use Gemini CLI. What feature do you have, and how is it better than Gemini CLI?","review":"nlsh 瞄准了开发者和系统管理员在日常工作中面临的核心痛点:记忆和编写复杂的 Shell 命令。其核心价值在于将自然语言意图直接转化为可执行的命令,极大地降低了终端使用的门槛,提升了工作效率。产品定位清晰,介于通用 AI 助手(如 Gemini CLI)和传统命令行之间,专注于 Shell 命令这一垂直场景,可能提供更精准的翻译和上下文理解。目标用户不仅包括新手开发者,也适用于需要快速执行不常用命令的资深用户。其创新点在于将 LLM 能力无缝集成到终端工作流中,实现\"所想即所得\"。潜在挑战在于命令翻译的准确性和安全性,以及如何与现有强大的终端工具生态(如 Oh My Zsh)竞争或整合。","primaryCategory":"developer-tools","categories":["developer-tools","education-learning"],"normalizedTopics":["开发者工具","编程语言","Open Source","Languages"]},{"name":"Usagebar","tagline":"在菜单栏追踪 Claude Code 使用情况","description":"一款 macOS 菜单栏应用,用于追踪 Claude Code 的 5 小时和每周使用限额。可查看重置倒计时、接收通知,避免意外触达使用上限。","votesCount":142,"commentsCount":11,"createdAt":"2026-01-23T08:01:00Z","website":"https://www.producthunt.com/r/SE6HUFITF5EHGU?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/usagebar?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/f65dce21-6d38-4fab-a99c-e83dae8583fc.png?auto=format","topics":["生产力","开发者工具","菜单栏应用"],"firstComment":"大家好,Product Hunt!\n\n开发 Usagebar 是为了从菜单栏追踪 Claude Code 使用情况,确保在开发冲刺中不会意外触达使用上限。\n\n我每天都用它来快速查看状态。本次发布采用\"随喜付费\"模式,非常期待大家对未来路线图的反馈!","thumbnail":"https://ph-files.imgix.net/37798186-6401-45e8-9b23-6cff89ceddd3.png?auto=format","date":"2026-01-23","id":"2026-01-23-5-usagebar","taglineEn":"Track Claude Code Usage from your Menu Bar","descriptionEn":"A macOS menu bar app that tracks your Claude Code 5-hour and weekly usage limits. See reset timers, get notifications, and never hit the wall unexpectedly.","topicsEn":["Productivity","Developer Tools","Menu Bar Apps"],"firstCommentEn":"Hey PH!\n\nI built Usagebar to track your Claude Code usage from your menu bar, so you never hit limits mid-sprint.\n\nI've been using it daily for quick glances. Launching this as \"Pay What You Want\", would love feedback on future roadmap!","review":"Usagebar 精准地解决了 Claude Code 开发者面临的一个具体痛点——使用限额管理。作为一款 macOS 菜单栏应用,它体现了\"工具思维\"的精髓:将高频但容易被忽视的需求(查看剩余额度)转化为轻量、即时的解决方案。其核心价值在于将原本需要主动查询或意外中断才能感知的限制,转变为可视化的进度条和提醒,帮助开发者更流畅地规划编码时间。目标用户明确为依赖 Claude Code 进行开发的程序员和团队。产品定位清晰,属于典型的效率增强工具。潜在挑战在于其功能相对单一,用户粘性可能有限,且高度依赖 Claude API 的定价和限额政策。未来可考虑扩展支持更多 AI 编码工具,或集成到开发工作流中,以提升产品护城河。","primaryCategory":"productivity","categories":["productivity","developer-tools","ai-agents"],"normalizedTopics":["生产力与办公","开发者工具","Menu Bar Apps"]},{"name":"Preloop","tagline":"MCP 治理层","description":"AI agent 功能强大,但一次错误操作就可能带来灾难性后果。Preloop 是一个内置人工审批层的智能体自动化平台。AI agent 可自动执行跨系统的日常工作,而当它们试图执行高风险操作(如部署、退款、数据变更)时,Preloop 会进行拦截,并通过移动端、Slack 或 Teams 等渠道将操作路由至人工审批,待批准后方可执行。根据需求,可选择仅使用其自动化功能、仅使用审批关卡,或将两者结合使用。","votesCount":111,"commentsCount":8,"createdAt":"2026-01-23T08:01:00Z","website":"https://www.producthunt.com/r/AU7B4QTR64XF2R?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/preloop?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/86044142-7dae-4280-9a06-a1e26bca0fa1.png?auto=format","topics":["开源","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt!\n\n我是 Yannis,Preloop 的联合创始人。\n\n我们构建 Preloop 是因为反复看到同一个问题:AI agent 在自动化工作方面能力惊人,但它们无法为自己的行为承担法律或道德责任。\n\n核心洞察在于:当 AI agent 即将部署代码、处理退款或修改客户数据时,需要有人批准。不是事后追认,而是在执行前批准。\n\nPreloop 的不同之处:\n- 从第一天起就基于 MCP 协议构建(无需适配器)\n- 可通过手机、Slack 或 Teams 审批关键操作\n- 可仅用于自动化、仅用于审批关卡,或两者结合使用\n- 可作为 MCP 代理与现有工具协同工作\n\n向社区提问:你最希望拥有但出于缺乏监督或潜在后果而不敢上线的智能体自动化应用是什么?","thumbnail":"https://ph-files.imgix.net/3a3ac70c-503b-47a6-af79-a5a706cd1ad4.png?auto=format","date":"2026-01-23","id":"2026-01-23-7-preloop","taglineEn":"The MCP Governance Layer","descriptionEn":"AI agents are powerful, but one wrong action could be catastrophic. Preloop is an agentic automation platform with built-in human approval layer. AI agents automate routine work across your systems, and when they attempt risky actions (deployments, refunds, data changes), Preloop intercepts and routes them for approval via mobile, Slack, or Teams before execution. You can use Preloop for automation only, approval gates only, or both together depending on your needs.","topicsEn":["Open Source","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Product Hunt! \n\nI'm Yannis, co-founder of Preloop.\n\nWe built Preloop because we kept seeing the same problem: AI agents are incredibly powerful at automating work, but they can't take legal or moral responsibility for their actions.\n\nThe core insight: When your AI agent is about to deploy code, process a refund, or modify customer data, someone needs to approve it. Not after the fact - before execution.\n\nWhat makes Preloop different:\n- Built on MCP protocol from day one (no adapters needed)\n- Approve critical actions from your phone, Slack, or Teams\n- Use it for automation only, approval gates only, or both together\n- Works as an MCP proxy alongside your existing tools\n\nQuestion for the community: What is the one agentic automation that you would love to have but are afraid of launching due to lack of oversight or potential consequences?","review":"Preloop 精准地切入了 AI 自动化浪潮中的一个关键痛点:信任与安全。随着 AI agent 越来越多地执行涉及代码、财务和数据的敏感操作,其潜在的\"灾难性错误\"风险成为企业大规模采用的主要障碍。Preloop 的创新之处在于,它没有试图让 AI 变得完美无缺,而是巧妙地引入了一个\"人类在环\"的治理层,将审批流程无缝嵌入自动化链条。这种设计既保留了 AI 的效率优势,又通过关键节点的\"熔断机制\"确保了最终控制权。其原生支持 MCP 协议,降低了与现有开发工具栈的集成门槛。目标用户显然是那些希望部署高级自动化但又对风险高度敏感的 DevOps、运维和客户服务团队。其挑战在于如何定义\"高风险\"的边界,以及审批流程本身是否会成为新的效率瓶颈。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["开发者工具","AI 与智能体","Open Source"]},{"name":"Forge Agent","tagline":"将缓慢的 PyTorch 模型转化为高速 GPU 内核的集群智能体","description":"Forge 能够自动将 PyTorch 模型转化为经过优化的 CUDA 和 Triton 内核。32 个 AI agent 并行运行,各自尝试不同的优化策略,例如张量核心、内存合并和内核融合。在性能基准测试之前,一个评判器会验证每个内核的正确性。我们在 Llama 3.1 8B 模型上实现了比 torch.compile 快 5 倍的推理速度,在 Qwen 2.5 7B 模型上快 4 倍。适用于任何 PyTorch 模型。提供单个内核的免费试用。如果性能未超越 torch.compile,将全额退还积分。","votesCount":110,"commentsCount":4,"createdAt":"2026-01-23T08:01:00Z","website":"https://www.producthunt.com/r/LR5GZXB7SEQ4RZ?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/rightnow-ai?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/f818766a-3e2e-4faa-8b41-d8fb7de826ea.png?auto=format","topics":["硬件","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt!\n如果性能未能超越 torch.compile,\n将全额退还积分!!\n\n在 B200 上的真实结果:\nLlama 3.1 8B:比 torch.compile 快 5 倍\nQwen 2.5 7B:快 4 倍\nSDXL UNet:快 3 倍","thumbnail":"https://ph-files.imgix.net/49aff867-e8d9-42ed-a6a1-e9faa47562c2.jpeg?auto=format","date":"2026-01-23","id":"2026-01-23-8-forge-agent","taglineEn":"Swarm Agents That Turn Slow PyTorch Into Fast GPU Kernels","descriptionEn":"Forge turns PyTorch models into optimized CUDA and Triton kernels automatically. 32 AI agents run in parallel, each trying different optimization strategies like tensor cores, memory coalescing, and kernel fusion. A judge validates every kernel for correctness before benchmarking. We got 5x faster inference than torch.compile on Llama 3.1 8B and 4x on Qwen 2.5 7B. Works on any PyTorch model. Free trial on one kernel. Full credit refund if we don't beat torch.compile.","topicsEn":["Hardware","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey PH!\nIf we don't beat torch.compile \nyou get your credits back!!\n\nReal results on B200:\nLlama 3.1 8B: 5x faster than torch.compile\nQwen 2.5 7B: 4x faster\nSDXL UNet: 3x faster","review":"Forge Agent 瞄准了 AI 模型部署中的核心性能瓶颈——推理速度。它通过创新的\"集群智能体\"架构,将原本需要专家手动进行的底层 GPU 内核优化过程自动化、并行化。其核心价值在于,它并非提供一个固定的优化方案,而是让 32 个 agent 并行探索多种优化策略(如张量核心、内存合并),并通过一个\"评判器\"确保正确性,这类似于一个自动化的、大规模的 A/B 测试过程。目标用户是希望将 PyTorch 模型高效部署到生产环境,但又缺乏底层 CUDA 优化专长的 AI 工程师和团队。其\"性能不达标则退款\"的承诺,显示了团队对技术效果的强大信心。潜在挑战在于,对于极其复杂或非标准的模型架构,其自动化优化策略的普适性和最终效果可能面临考验。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","hardware-platforms"],"normalizedTopics":["硬件、移动与平台","开发者工具","AI 与智能体"]},{"name":"Web search API by Crustdata","tagline":"专为 AI Agent 打造的最快、最准确的网络搜索 API","description":"Crustdata 提供最快、最准确的网络搜索 API,使 AI agent 能够搜索整个网络。通过网站域名、发布日期、来源和地理位置过滤来控制搜索结果。可搜索一小时前发布的新闻文章和社交帖子。查找开源创作者和研究论文作者。通过深度研究模式获取查询的精确答案。结合我们的 fetch API 从网页提取所有内容。","votesCount":284,"commentsCount":32,"createdAt":"2026-01-22T08:01:00Z","website":"https://www.producthunt.com/r/MDDPZ5ZTNWLD2O?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/crustdata-2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/87cf007a-5fee-4502-94b4-b0fe1964ccc4.jpeg?auto=format","topics":["销售","API","开发者工具"],"firstComment":"大家好,我是 Garry。很高兴帮助推出 Crustdata (YC F24) 的最新产品:WebSearch API。\n\n通过一个简单的 API 即可搜索整个网络,使其可供 AI agent、产品和工具使用。\n\n可以将此 API 视为基础层,在其之上可以构建任何需要公共网络信息(人员、公司、帖子、定价页面、研究文章、文档、博客等)的工具。\n\n为什么重要:\n\n网络并非为 AI agent 而建,而是为人类视觉设计的。不一致的 HTML、验证码和脆弱的爬虫使得网络难以作为 agent 的输入。\n\n因此,agent 缺乏关键的定性信息,甚至无法在不访问网络信息的情况下执行简单任务。\n\nWebSearch API 以干净、可预测的 JSON 格式返回搜索结果和页面内容,可作为 AI agent、工作流和应用程序的输入。\n\n可以用它构建什么:\nAI 招聘工具:从公开作品(论文、GitHub 个人资料)中寻找研究人员和工程师等候选人。\n\nAI SDR 和 GTM agent:从播客、博客、论坛中查找潜在客户的更多信息,并将其输入个性化外展工作流。\n\n竞争研究工具:跟踪竞争对手的定价、产品发布和市场定位,以便发现机会和风险。\n\nSEO 工具:提取元数据、引用和排名数据,而无需构建脆弱的爬虫。\n\n投资 agent:从新闻、博客和产品页面汇总公司信息和市场情绪,以发现投资机会和风险。\n\nAI 编程 agent:获取并解析最新的文档、最近的库更新,以便生成准确的代码。\n\n如何集成到 AI agent 或工具中:\n60 秒内即可开始。使用 API 密钥添加这几行代码,即可将整个网络作为结构化 JSON 访问:\n\ncurl 'https://api.crustdata.com/screener/web-search?fetch_content=true' \\\n --request POST \\\n --header 'Content-Type: application/json' \\\n --data '{\n \"query\": \"Open AI recent product launches\",\n \"geolocation\": \"US\"\n}'\n\n就是这样,就这么简单。\n\n对于非技术用户:\n如果不熟悉编码,别担心。我们的文档专为与 Claude 或 ChatGPT 等 AI 编码助手配合使用而编写。\n\n只需:\n复制我们的 API 文档\n\n将其粘贴到 Claude Code 或 Cursor 中\n\n用简单的英语描述需要什么数据(例如,\"查找所有为 Next.js 项目做出贡献的 TypeScript 开发人员\")\n\n让 AI 为您生成 API 调用\n\n获得可立即使用的有效代码,无需自己编写一行代码\n\n使用此 API 可以找到的示例数据:\n对于销售:\n通过融资文章中的信息查找特定的痛点或角度以个性化消息:\n\n搜索查询:{创始人姓名} site:techcrunch.com\n\n根据潜在客户曾出现的博客或播客中的信息,查找特定的痛点或角度以个性化消息:\n\n搜索查询:{创始人姓名} \"podcasts\" \"blogs\"\n\n对于招聘:\n从 Github 中查找具有特定技能的工程师:\n\n搜索查询:\"i'm a\" \"frontend developers\" \"react\" site:github.com\n\n通过发表主题查找研究人员:\n\n搜索查询:\"machine learning\" \"interpretability\" site:arxiv.org\n\n对于市场研究和投资:\n分析公司近期的市场情绪:\n\n搜索查询:Salesforce AND (sentiment OR review OR \"market perception\" OR \"analyst sentiment\")\n日期范围:startDate: July 13, 2025 | endDate: Jan 13, 2026\n\n发现公司的产品发布或有趣事件:\n\n搜索查询:\"lovable AND (\"product launch\" OR \"new feature\" OR \"beta\" OR \"partnership\" OR \"introducing\") site:lovable.dev\"\n\n对于 AI 编程 agent:\n跟踪库更新和变更:\n\n搜索查询:\"React 19\" AND (\"breaking changes\" OR \"migration guide\" OR \"what's new\")\n\n关键功能和差异化优势:\n最快的 WebSearch API,亚秒级延迟\n\n与其他 Web API 相比最准确的 WebSearch API\n\n访问更新后几分钟内即被索引并可在搜索结果中获取的最新网页\n\n一次查询可获取来自网络数百个来源的结果\n\n控制结果的过滤器(语言、位置、网站/来源、日期范围)\n\n为高吞吐量生产环境构建的 API\n\n感谢支持!","thumbnail":"https://ph-files.imgix.net/86c6a32c-14bc-454a-8d97-b04065d688c9.png?auto=format","date":"2026-01-22","id":"2026-01-22-1-web-search-api-by-crustdata","taglineEn":"Accurate and the fastest web search API for AI Agents","descriptionEn":"Let your AI agent search across the whole web with the fastest and accurate web search API by Crustdata - Control your search results by filtering on the website domains, date posted, sources and geo location. - Search across the news articles and social posts published just an hour ago. - Search for open source creators and authors of research papers - Get exact answers to your query via deep research mode - Combine with our fetch API to extract all content from a web page","topicsEn":["Sales","API","Developer Tools"],"firstCommentEn":"Hi Product Hunt, Garry here. I'm excited to help launch Crustdata (YC F24)'s newest product: The WebSearch API.\n\nIt lets you search the whole web via a simple API, making it accessible for AI agents, products and tools. \n\nThink of this API as the fundamental layer on which you can build any tool that needs public web info (people, companies, posts, pricing pages, research articles, docs, blogs, etc). \n\nWhy it matters:\n\nThe web wasn't built for AI agents. It was built for the human eye. Inconsistent HTML, CAPTCHAs, and brittle scrapers make the web hard to use as input for agents.\n\nAs a result, agents lack vital qualitative information and cannot perform even simple tasks without accessing information from the web. \n\nThe WebSearch API returns search results and page content as clean, predictable JSON you can use as input for AI agents, workflows, and apps.\n\nWhat you can build with it:\nAI recruiting tools: Find candidates such as researchers and engineers from public work (papers, GitHub profiles).\n\nAI SDRs and GTM agents: Find more information about prospects from podcasts, blogs, forums, and feed this into personalized outreach workflows.\n\nCompetitive Research Tools: Track competitor pricing, product launches, and market positioning so you can detect opportunities and risks.\n\nSEO Tools: Pull meta data, citations, and ranking data without building fragile scrapers.\n\nInvestment agents: Aggregate company information and market sentiment from news, blogs, and product pages to spot investment opportunities and risks.\n\nAI coding agents: Fetch and parse the latest documentations, recent library updates so they can generate accurate code. \n\nHow to integrate into your AI agent or tool:\nGet started in under 60 seconds. Add these lines of code with your API key to access the entire web as structured JSON:\n\ncurl 'https://api.crustdata.com/screener/web-search?fetch_content=true' \\\n --request POST \\\n --header 'Content-Type: application/json' \\\n --data '{\n \"query\": \"Open AI recent product launches\",\n \"geolocation\": \"US\"\n}'\n\nThat's it. It's as simple as that. \n\nFor non-technical users:\nIf you aren't comfortable with coding, don't worry. Our documentation is written to work with AI coding assistants like Claude or ChatGPT.\n\nSimply:\nCopy our API documentation\n\nPaste it into Claude Code or Cursor\n\nDescribe what data you need in plain English (e.g., \"Find all TypeScript developers who contributed to Next.js projects\")\n\nLet the AI generate the API call for you\n\nGet working code you can use immediately, without writing a single line yourself\n\nExample data you can find with this API:\nFor Sales: \nTo find specific pain points or angles to personalize messaging through information from a funding article: \n\nSearch query: {founder name} site:techcrunch.com\n\nTo find specific pain points or angles to personalize messaging based on information from blogs or podcasts the prospect appeared on: \n\nSearch query: {founder name} \"podcasts\" \"blogs\"\n\nFor Recruiting:\nTo find engineers with a specific skillset from Github: \n\nSearch query: \"i'm a\" \"frontend developers\" \"react\" site:github.com\n\nFinding researchers by publication topics: \n\nSearch query: \"machine learning\" \"interpretability\" site:arxiv.org\n\nFor Market Research and Investment:\nTo analyze the recent market sentiment of a company: \n\nSearch query: Salesforce AND (sentiment OR review OR \"market perception\" OR \"analyst sentiment\")\nDate range: startDate: July 13, 2025 | endDate: Jan 13, 2026\n\nTo surface product launches or interesting events about a company:\n\nSearch query: \"lovable AND (\"product launch\" OR \"new feature\" OR \"beta\" OR \"partnership\" OR \"introducing\") site:lovable.dev\"\n\nFor AI coding agents: \n\nTo track library updates and changes:\n\nSearch query: \"React 19\" AND (\"breaking changes\" OR \"migration guide\" OR \"what's new\")\n\nKey Features and Differentiators:\nFastest WebSearch API with the subsecond latency\n\nMost accurate WebSearch API compared to other Web APIs\n\nAccess the latest web pages indexed within minutes of being updated and available in search results\n\nResults from hundreds of sources from the web for one query\n\nFilters to control results (language, location, site/source, date ranges)\n\nAPIs built for production with high throughput\n\nThanks for your support!","review":"Crustdata 的 WebSearch API 精准地切入了 AI 应用生态中的一个关键痛点:为 AI agent 提供结构化、可预测的网络信息输入。当前 AI agent 面临的核心挑战之一是无法直接、可靠地获取和处理实时网络信息,因为网络是为人类浏览设计的。该产品通过提供亚秒级延迟、高准确度的搜索 API,并返回干净的 JSON 数据,本质上是在为 AI 应用构建一个标准化的\"网络感知层\"。其目标用户非常明确,包括构建 AI 招聘工具、销售自动化、竞争情报、SEO 分析及投资研究等应用的开发者。产品的核心优势在于其生产级的高吞吐量设计、精细的过滤控制(如地理位置、时间、来源)以及对最新内容的快速索引。然而,其面临的挑战可能包括如何持续保证搜索结果的准确性与公正性,以及在面对不同网站的反爬机制时保持服务的稳定性。该产品定位清晰,有望成为 AI 应用开发栈中重要的基础设施组件。","primaryCategory":"developer-tools","categories":["developer-tools","growth-sales","finance-business"],"normalizedTopics":["营销、增长与销售","开发者工具"]},{"name":"Demonstrate by Notte","tagline":"数分钟内将浏览器操作流程转化为可部署的自动化代码","description":"通过演示模式,只需录制一次浏览器任务,即可立即获得可用于生产环境的代码。随后可在我们的自动化工作室中,使用实时浏览器进一步编辑代码,将自动化代码部署为无服务器函数,并安排其自主运行。托管会话、代理、身份和保险库在幕后处理一切。这是在一个统一平台上,从原型到生产环境的最快路径。","votesCount":239,"commentsCount":44,"createdAt":"2026-01-22T08:01:00Z","website":"https://www.producthunt.com/r/LMB23GRIZNUBKT?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/notte?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/06648e1b-86e6-48d5-99c9-e70dba926961.png?auto=format","topics":["API","开发者工具","人工智能"],"firstComment":"Let’s go @ogandreakiro","thumbnail":"https://ph-files.imgix.net/a5d945d7-db55-4fd6-a412-0b332c5cc687.png?auto=format","date":"2026-01-22","id":"2026-01-22-3-demonstrate-by-notte","taglineEn":"Browser workflows to deployed automation in minutes","descriptionEn":"Record any browser task once and get production-ready code instantly with Demonstrate Mode. Edit further your code in our Automation Studio with live browsers, deploy automation code as a serverless function, and schedule it to run autonomously. Managed sessions, proxies, identities, and vaults handle everything behind the scenes. The fastest path from prototype to production in one unified platform.","topicsEn":["API","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Let's go @ogandreakiro","review":"Demonstrate by Notte 瞄准了自动化流程开发中的核心痛点——从构思到部署的漫长周期。其核心创新在于将浏览器操作直接\"录制\"为生产级代码,极大地降低了自动化脚本的开发门槛和技术复杂性。产品通过整合录制、编辑、部署和调度功能,构建了一个端到端的自动化平台,尤其适合需要快速实现网页数据抓取、表单填写或流程测试的开发者与业务人员。其提供的托管会话、代理和身份管理等后台服务,解决了自动化任务执行中常见的IP封禁、验证码和会话维持等棘手问题。潜在挑战在于处理高度动态或复杂的交互场景时,录制生成的代码是否足够健壮,以及平台锁定风险。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","finance-business"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Netlify Capsules","tagline":"将网页项目发射为AR胶囊,供他人在轨道中发现","description":"Netlify Capsules 是为庆祝 Netlify 平台开发者数量突破一千万而推出的虚拟体验。开发者可以选择一个 Netlify 项目,添加一张照片、一首歌曲或一段简短留言,然后将自己的胶囊部署到环绕地球的轨道中。这些胶囊会出现在用户头顶的天空中,并可通过基于网页的增强现实技术,根据用户的真实地理位置进行发现。每个胶囊都是独特且个性化的,与开发者创造的作品紧密相连。","votesCount":179,"commentsCount":20,"createdAt":"2026-01-22T08:01:00Z","website":"https://www.producthunt.com/r/B32I6YU67YCKYD?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/netlify?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/0162ccdc-ee7e-4b5a-a9ee-a10818546648.png?auto=format","topics":["开发者工具","增强现实","网页设计"],"firstComment":"大家好,Product Hunt -\n\nNetlify 的开发者数量刚刚突破一千万,我们希望通过构建一个能让人们真正\"发射\"点什么的东西来纪念这一里程碑。\n\nCapsules 允许将一个小型数字载荷——与一个真实的 Netlify 项目绑定——发送到环绕地球的轨道中,然后通过手机 AR 发现头顶上其他开发者的胶囊。\n\n这是与社区成员、Netlify 资深用户 @leemartin 合作构建的,旨在打造一个轻量级且有趣的体验。很好奇大家会发送什么上去。","thumbnail":"https://ph-files.imgix.net/76ab59d2-551c-4775-a162-f8490956d66f.png?auto=format","date":"2026-01-22","id":"2026-01-22-5-netlify-capsules","taglineEn":"Launch web projects as AR capsules others can find in orbit","descriptionEn":"Netlify Capsules is a virtual experience to celebrate 10 million developers on Netlify. Developers choose a Netlify project, add a photo, song, or short note, then deploy their capsule into orbit around the earth. Capsules appear overhead and can be discovered using web-based AR, based on your real-world location. Each capsule is unique, personal, and tied to something you've made.","topicsEn":["Developer Tools","Augmented Reality","Web Design"],"firstCommentEn":"Hey Product Hunt -\n\nWe just crossed 10 million developers on Netlify and wanted to mark it by building something people could actually launch.\n\nCapsules lets you send a small digital payload—tied to a real Netlify project—into orbit around the earth, then discover other capsules overhead using your phone's AR.\n\nBuilt in collaboration with community member, and Netlify power user, @leemartin and meant to be lightweight and fun. Curious what you'd send up.","review":"Netlify Capsules 是一款极具创意和仪式感的社区营销与开发者关系产品。它巧妙地将庆祝里程碑的常规活动,转化为一个结合了增强现实、地理位置和数字纪念物的沉浸式体验。其核心价值在于将抽象的\"开发者数量\"和\"项目部署\"概念,具象化为可见、可探索的虚拟太空胶囊,极大地增强了开发者的归属感和成就感。目标用户是 Netlify 庞大的开发者社区,旨在通过趣味互动提升品牌忠诚度。创新点在于利用 Web AR 技术降低了体验门槛,无需安装独立应用即可参与。这不仅是技术展示,更是优秀的情感化设计案例。潜在挑战在于体验的新鲜感过后,如何维持用户的长期参与度,以及如何将这种创意转化为更深层的平台粘性。","primaryCategory":"developer-tools","categories":["developer-tools","hardware-platforms","design-creative"],"normalizedTopics":["开发者工具","硬件、移动与平台","设计、图片与视频","Augmented Reality","Web Design"]},{"name":"Coda by Conductor Quantum","tagline":"利用量子计算与自然语言解决问题","description":"简而言之:如果每个程序都需要手写量子电路,量子计算将难以规模化。Coda 允许初学者、领域专家和工程师用自然语言描述问题,并在真实的量子处理器上运行,无需编写底层的量子代码。","votesCount":124,"commentsCount":15,"createdAt":"2026-01-22T08:01:00Z","website":"https://www.producthunt.com/r/LVRM6IRWTEMM4S?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/conductor-quantum?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/2b970fa1-c0b7-457f-8867-5fd2ac179104.png?auto=format","topics":["开发者工具","人工智能","计算机"],"firstComment":"👋 各位 Product Hunt 的朋友们好!\n\n我是 Conductor Quantum 的联合创始人 Brandon。今天我们发布 Coda,一个面向量子计算机的自然语言交互界面。\n\nCoda 支持用自然语言设计、理解和运行量子程序,无需编写底层量子代码。我们开发它是因为量子计算虽然强大,但实际使用起来仍然过于困难。\n\n量子计算机为在原子层面模拟世界提供了一种新的计算范式。这为化学、材料科学和药物发现等领域开辟了超越最大型经典超级计算机能力的新可能性。\n\n问题在于,目前大多数材料科学家或生物化学家无法使用量子计算机——学习所有新的定制工具和量子信息科学的门槛实在太高。这正是我们构建 Coda 的原因。\n\n我们的长期目标很简单:让每张办公桌都能访问量子计算机。\n\n它专为希望立即探索真实量子用例并加速原型开发的领域专家和技术团队而打造。同时,也适合量子计算新手,为他们提供一种实用、动手实践的学习方式。\n\n我们平台上首批提供的量子计算机之一是 Rigetti 的 84 量子比特量子计算机,此外还有 IonQ 和 IQM。我们也支持通过 IBM Qiskit 和 NVIDIA cuQuantum + CUDA-Q 进行量子比特模拟。\n\n我们尚处早期阶段,正在快速学习,非常期待大家的反馈。\n\n很高兴回答任何问题 👋","thumbnail":"https://ph-files.imgix.net/8338dc97-af37-46e9-bb82-848da0a78e63.png?auto=format","date":"2026-01-22","id":"2026-01-22-9-coda-by-conductor-quantum","taglineEn":"Solving problems using quantum computing & natural language","descriptionEn":"TL;DR Quantum computing won't scale if every program is a hand-written circuit. Coda lets beginners, domain experts, and engineers describe problems in natural language and run them on real quantum processors, without writing low-level quantum code.","topicsEn":["Developer Tools","Artificial Intelligence","Computers"],"firstCommentEn":"👋 Hi Product Hunters!\n\nI'm Brandon, co-founder of Conductor Quantum. Today we're launching Coda, a natural language interface for quantum computers.\n\nCoda lets you design, understand, and run quantum programs in natural language, without writing low-level quantum code. We built it because quantum computing is powerful, but still far too hard to actually use.\n\nQuantum computers offer a new computing paradigm for simulating the world at the atomic level. This opens up new possibilities in chemistry, materials science, and drug discovery that push beyond what the largest classical supercomputers can handle.\n\nThe problem is most material scientists or biochemists can't use a quantum computer today - the barrier to entry to learn all the new bespoke tools, and the quantum information science is way too high. This is why we are building Coda.\n\nOur long-term goal is simple: access to a quantum computer from every desk.\nIt's built for domain experts and technical teams who want to explore real quantum use cases today and prototype faster. Also, it's built for people new to quantum computing who want a practical, hands-on way to learn.\n\nOne of the first quantum computers we're offering on our platform is Rigetti's 84-qubit quantum computer, plus IonQ and IQM. We also support qubit simulations via IBM Qiskit and NVIDIA cuQuantum + CUDA-Q.\n\nWe're early and learning fast, and we'd love your feedback.\n\nHappy to answer any questions 👋","review":"Coda 瞄准了量子计算普及化的核心瓶颈——易用性。量子计算潜力巨大,但其编程范式与传统计算迥异,极高的技术门槛将大量潜在用户(如化学家、材料科学家)拒之门外。Coda 的创新在于通过自然语言界面作为抽象层,将复杂的量子电路编写过程转化为直观的问题描述,这极大地降低了学习和使用门槛。其定位精准,既服务于希望快速验证想法的领域专家,也为初学者提供了实践入口。产品整合了 Rigetti、IonQ 等主流量子硬件及 IBM、NVIDIA 的模拟环境,展现了良好的生态兼容性。然而,挑战同样明显:自然语言到量子算法的转换精度、对复杂科学问题的理解深度,以及如何平衡抽象带来的性能损耗。Coda 若能成功,将成为连接前沿计算能力与真实世界科学及工程问题的关键桥梁。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","hardware-platforms"],"normalizedTopics":["开发者工具","AI 与智能体","硬件、移动与平台","Computers"]},{"name":"Blink Agent Builder","tagline":"现在可以通过氛围编程构建智能体AI应用","description":"Blink 是首个构建 AI 智能体的氛围编程平台。只需描述需求,Blink 即可创建能够思考、使用工具并端到端完成任务的智能体。平台内置网络搜索、代码执行、向量数据库、沙箱环境以及 180 多种 AI 模型。我们曾用它快速重建了 Cursor、Perplexity 和 Shortcut。现在轮到你了。","votesCount":360,"commentsCount":47,"createdAt":"2026-01-21T08:01:00Z","website":"https://www.producthunt.com/r/IHQ54WYAC3Z5Z2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/blink-21?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/7b9cd117-171e-4ea8-8cfe-8f28d2920a6a.png?auto=format","topics":["开发者工具","人工智能","氛围编程"],"firstComment":"大家好!👋\n\n我是 Blink 的创始人 Kai。\n\n当我们推出 Blink 时,发生了一件有趣的事。用户不仅用它构建着陆页和仪表板,还不断尝试构建 AI 智能体——研究助手、编程副驾、能实际执行任务的支持机器人。\n\n但构建智能体通常意味着拼接 API、管理上下文窗口、处理工具调用、部署基础设施,这是真正的工程工作。\n\n于是我们思考:如果仅通过描述就能让一个智能体工作会怎样?\n\n这就是我们今天发布的功能。\n\nBlink Agent Builder 允许通过提示词创建智能体 AI 应用。我们通过重建 Cursor、Perplexity 和 Shortcut 进行了测试——完全可用,无需代码。\n\n平台包含一切所需:网络搜索、代码执行、向量数据库、沙箱、图像与视频生成、180 多种模型,以及适用于任何 API 的 Webhook 工具。此外还提供人在回路、多智能体协作和上下文工程功能,确保智能体保持高效。\n\n非常期待听到大家的想法,以及你们想构建什么样的智能体。我会全天在线。\n\n—Kai\n\nPS 别忘了领取我们的 Product Hunt 发布折扣 🎁","thumbnail":"https://ph-files.imgix.net/a0799ea4-ab8f-406a-9cc1-34134b53b0cc.x-icon?auto=format","date":"2026-01-21","id":"2026-01-21-0-blink-agent-builder","taglineEn":"You can now vibe code agentic AI apps","descriptionEn":"Blink is the first vibe coding platform that builds AI agents. Describe what you want — Blink creates an agent that thinks, uses tools, and completes tasks end-to-end. Built-in web search, code execution, vector database, sandbox, and 180+ AI models. We used it to recreate Cursor, Perplexity, and Shortcut in minutes. Now it's your turn.","topicsEn":["Developer Tools","Artificial Intelligence","Vibe coding"],"firstCommentEn":"Hey everyone! 👋\n\nKai here, founder of Blink.\n\nWhen we launched Blink, something interesting happened. People weren't just building landing pages and dashboards — they kept trying to build AI agents. Research assistants. Coding copilots. Support bots that actually do things.\n\nBut building agents meant stitching together APIs, managing context windows, handling tool calls, deploying infrastructure. Real engineering work.\n\nSo we asked ourselves: what if you could just describe an agent and have it work?\n\nThat's what we're launching today.\n\nBlink Agent Builder lets you create agentic AI apps from a prompt. We tested it by rebuilding Cursor, Perplexity, and Shortcut — fully working, no code.\n\nEverything's included: web search, code execution, vector database, sandbox, image and video generation, 180+ models, webhook tools for any API. Plus human-in-the-loop, multi-agent, and context engineering so your agent stays sharp.\n\nWould love to hear what you think — and what agents you'd want to build. I'll be here all day.\n\n—Kai\n\nPS Grab our PH launch discount 🎁","review":"Blink Agent Builder 将\"氛围编程\"理念从界面构建延伸至 AI 智能体领域,实现了从描述到可执行智能体的快速转化。其核心创新在于大幅降低了构建复杂 AI 应用的工程门槛,将原本需要大量 API 集成、上下文管理和基础设施部署的工作,简化为自然语言描述。内置的丰富工具链(搜索、代码执行、向量数据库等)和 180+ 模型库,为智能体提供了强大的\"原生能力\",使其能够真正端到端地完成任务。目标用户不仅包括希望快速验证想法的开发者,也可能吸引产品经理、业务人员等非技术背景的创作者。潜在挑战在于,随着智能体复杂度提升,如何确保其行为的可靠性与可控性,以及如何平衡\"无代码\"的易用性与高级定制需求之间的张力。","primaryCategory":"ai-agents","categories":["ai-agents","developer-tools","data-analytics"],"normalizedTopics":["开发者工具","AI 与智能体","Vibe coding"]},{"name":"Mastra","tagline":"使用现代 TypeScript 技术栈构建 AI agent","description":"来自 Gatsby 背后的团队,Mastra 是一个用于构建 AI 驱动应用和 agent 的框架,集成了工作流、记忆、流式响应、评估、追踪以及 Studio——一个用于开发和测试的交互式界面。开始构建:npm create mastra@latest","votesCount":291,"commentsCount":30,"createdAt":"2026-01-21T08:01:00Z","website":"https://www.producthunt.com/r/CHXMX52QIYNWN3?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/mastra?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/1a6c132d-3fd0-4a9b-b50d-fc2147e9600c.png?auto=format","topics":["软件工程","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt!\n\nMastra (YC W25) 刚刚发布了用于构建 AI 应用和 agent 的稳定版 1.0,宣布每周 npm 下载量超过 30 万次,GitHub 星标超过 19,400 个,并且他们势头不减,今天在 @Product Hunt 上正式发布。加油!\n\n与 @calcsam @smthomas3 @bookercodes 以及团队一起筹备这次发布非常愉快。可以在 /p/mastra 阅读幕后故事,并在 GitHub 上给他们点个星。\n\n对了,@bookercodes 和我将于今天(1月21日)UTC 时间下午3点 / 中欧时间下午4点 / 美国东部时间上午10点,在 X Space 上进行直播,聊聊这次发布运营。欢迎收听!","thumbnail":"https://ph-files.imgix.net/e3c51a66-07fc-409c-9dab-cb1f0c885853.png?auto=format","date":"2026-01-21","id":"2026-01-21-2-mastra","taglineEn":"Build AI agents with a modern TypeScript stack","descriptionEn":"From the team behind Gatsby, Mastra is a framework for building AI-powered apps and agents with workflows, memory, streaming, evals, tracing, and Studio, an interactive UI for dev and testing. Start building: npm create mastra@latest","topicsEn":["Software Engineering","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hello, Product Hunt!\n\nMastra (YC W25) just released stable 1.0 for building AI apps and agents, announcing 300,000+ weekly npm downloads and 19,400+ GitHub stars, and they keep the momentum going launching today on @Product Hunt. LFG!\n\nI had a blast working on this launch with @calcsam @smthomas3 @bookercodes and team. Read the behind-the-scenes in /p/mastra and give them a star on GitHub.\n\nOh and @bookercodes and I will be live on an X Space today, Jan 21, at 3 PM UTC / 4 PM CET / 10 AM EST to talk about the launch ops. Tune in!","review":"Mastra 是一款面向开发者的 AI 应用与 agent 构建框架,其核心价值在于将 AI 能力工程化、标准化。它并非简单的 SDK 封装,而是提供了一个包含工作流、记忆、评估、追踪和可视化开发工具(Studio)的完整开发生态。这解决了当前 AI 应用开发中常见的痛点:组件分散、调试困难、缺乏标准化流程。其背后 Gatsby 团队的经验为其在开发者工具领域的成熟度提供了背书。目标用户是希望快速、稳健地构建复杂 AI 应用的中高级开发者。优势在于其 TypeScript 优先的现代技术栈和开箱即用的企业级功能(如评估和追踪),这使其在众多 AI 框架中定位清晰。潜在挑战在于需要与 LangChain、CrewAI 等成熟生态竞争,并持续吸引社区贡献以丰富其工具链。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"FastMCP 3.0","tagline":"构建 MCP 服务器与客户端的快速、Pythonic 之道","description":"FastMCP 3.0 是一个用于构建更智能的 AI 上下文应用(而不仅仅是工具服务器)的框架。它可以从任何地方拉取工具和数据,进行重塑、控制访问权限、追踪状态并运行长时任务——内置热重载、版本控制和可观测性,适用于生产环境。","votesCount":176,"commentsCount":14,"createdAt":"2026-01-21T08:01:00Z","website":"https://www.producthunt.com/r/F4DHR3XC77U3KQ?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/fastmcp?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/8e71e4c5-6ed3-4343-8eaf-f57700920c19.png?auto=format","topics":["开源","开发者工具","人工智能"],"firstComment":"来自 @jlowin:\n\nFastMCP 3.0 是 MCP 在 2026 年应得的平台,其构建既坚固耐用又面向未来:\n我们正在超越简单的\"工具服务器\"。我们正进入上下文应用的时代——这些丰富、自适应的系统管理着流向 agent 的信息流。\n\n真正的挑战从来不是实现协议本身,而是在正确的时间交付正确的信息。FastMCP 3 正是为此而生:\n从任何地方获取组件。\n\n自由组合与转换它们。\n\n个性化每位用户所见。\n\n跨会话追踪状态。\n\n在每一层级控制访问。\n\n在后台运行长时操作。\n\n为 API 进行版本管理。\n\n观察一切。\n\n是时候快速行动并创造事物了。","thumbnail":"https://ph-files.imgix.net/4ca679b7-f1d0-4619-84a1-0126baa161ff.png?auto=format","date":"2026-01-21","id":"2026-01-21-4-fastmcp-3.0","taglineEn":"The fast, Pythonic way to build MCP servers and clients","descriptionEn":"FastMCP 3.0 is a framework for building smarter AI context apps, not just tool servers. Pull tools and data from anywhere, reshape them, control access, track state, and run long tasks — with hot reload, versioning, and observability built in for production use.","topicsEn":["Open Source","Developer Tools","Artificial Intelligence"],"firstCommentEn":"From @jlowin :\n\nFastMCP 3.0 is the platform MCP deserves in 2026, built to be as durable as it is future-proof:\nWe are moving beyond simple \"tool servers.\" We are entering the era of Context Applications—rich, adaptive systems that manage the information flow to agents.\n\nThe real challenge was never implementing the protocol. It's delivering the right information at the right time. FastMCP 3 is built for that:\nSource components from anywhere.\n\nCompose and transform them freely.\n\nPersonalize what each user sees.\n\nTrack state across sessions.\n\nControl access at every level.\n\nRun long operations in the background.\n\nVersion your APIs.\n\nObserve everything.\n\nIt's time to move fast and make things.","review":"FastMCP 3.0 标志着 MCP(模型上下文协议)生态从基础工具层向应用层的演进。它不再满足于充当简单的\"工具服务器\",而是定位为构建\"上下文应用\"的框架,旨在解决 AI agent 工作流中的核心痛点:信息流的动态管理与精准交付。其核心价值在于提供了数据/工具获取、转换、权限控制、状态追踪、长时任务执行等一体化解决方案,并内置了热重载、版本管理和可观测性等生产级特性。这极大地降低了开发者构建复杂、可靠且可维护的 AI 集成系统的门槛。目标用户是需要在生产环境中部署和管理 AI agent 交互的开发者与团队。其挑战在于需要平衡框架的灵活性与复杂性,并推动更广泛的 MCP 生态采用。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["开发者工具","AI 与智能体","Open Source"]},{"name":"Forvibe","tagline":"发布应用,告别繁琐运营杂务","description":"专注于构建移动应用,而非繁琐的运营杂务。Forvibe 为 App Store 和 Google Play 的整个发布流程提供一站式解决方案。自动化处理本地化、商店列表和截图生成,同时负责 AI 落地页、法律文档和全球订阅定价。告别发布阻力,加速产品上线。由 Forvibe 承担繁重工作,实现更快发布、全球扩展,并将精力集中于真正重要的事情:打造卓越产品。","votesCount":148,"commentsCount":9,"createdAt":"2026-01-21T08:01:00Z","website":"https://www.producthunt.com/r/O2DYGO6JXIZZ3F?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/forvibe?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/4564fe74-01f2-4937-9179-4fd1290e9acc.png?auto=format","topics":["生产力","开发者工具","人工智能"],"firstComment":"大家好,Product Hunters 👋,\n\n我是 Berat。我从事移动应用的构建和发布已有八年多。虽然开发应用充满乐趣,但发布和上线过程往往繁琐、耗时且重复。我创建 Forvibe 正是为了解决这个问题。\n\n通过 Forvibe,无需担心域名或托管,即可在几分钟内创建专业的应用落地页。通过单一仪表板管理应用内购买和订阅,使用 10 多个现成模板设计应用内截图,并轻松将其本地化为多种语言。\n\n隐私政策、使用条款和最终用户许可协议等法律页面一键处理并发布。此外,Forvibe 还提供 AI 支持的客户支持收件箱,无需设置或管理单独的电子邮件系统。用户请求会自动分析并回复。\n\n简而言之,专注于构建应用。其他一切交给 Forvibe。","thumbnail":"https://ph-files.imgix.net/d07a33dd-0d47-415b-b2ca-98f3af4828d1.png?auto=format","date":"2026-01-21","id":"2026-01-21-5-forvibe","taglineEn":"Launch apps without the operational busywork","descriptionEn":"Focus on building your mobile app, not the operational busywork. Forvibe streamlines the entire launch process for App Store and Google Play. We automate localization, store listings, and screenshot generation while handling AI landing pages, legal docs, and global subscription pricing. Don't let launch friction slow you down. We handle the heavy lifting so you can ship faster, scale globally, and keep your focus on what truly matters: creating a great product.","topicsEn":["Productivity","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Product Hunters 👋,\n\nI'm Berat. I've been building and publishing mobile apps for over 8 years. While developing apps is fun, the publishing and launch process is often tedious, time consuming, and repetitive. I built Forvibe to solve exactly this problem.\n\nWith Forvibe, you can create a professional app landing page in minutes without worrying about domains or hosting. Manage your in app purchases and subscriptions from a single dashboard, design in app screenshots using 10+ ready made templates, and localize them into multiple languages with ease.\n\nLegal pages like Privacy Policy, Terms of Use, and EULA are handled in one click and published for you. On top of that, Forvibe provides an AI supported customer support inbox, so you don't need to set up or manage a separate email system. User requests are analyzed and answered automatically.\n\nIn short, focus on building your app. Let Forvibe handle everything else.","review":"Forvibe 精准切入移动应用开发者从开发完成到正式上线之间的\"最后一公里\"痛点。这个阶段涉及商店上架、本地化、法律合规、定价策略、营销素材制作等大量非核心但必需的运营工作,极其分散开发者的精力。Forvibe 的价值在于将这些繁琐、重复且专业门槛高的任务产品化、自动化,形成一个完整的发布即服务平台。其创新点不仅在于单项任务的自动化(如截图生成),更在于将 AI 落地页、AI 客服与传统的商店管理、法律文档生成等流程无缝整合,提供端到端的解决方案。目标用户明确为独立开发者和小型团队,帮助他们以极低的边际成本实现全球发布。潜在挑战在于如何深度适配不同地区复杂的应用商店政策与法律环境,以及面对大型开发团队定制化需求时的服务深度。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["生产力与办公","开发者工具","AI 与智能体"]},{"name":"Rippletide Eval CLI","tagline":"AI Agent 评估工具","description":"Rippletide CLI 是一款交互式终端工具,可直接在命令行中评估 AI agent 的端点。它能够基于 agent 的知识生成问题,支持使用预定义问题集进行可复现的基准测试,并提供清晰的幻觉关键绩效指标。通过实时进度显示、自动评估和详细报告,即时获取性能反馈。","votesCount":134,"commentsCount":14,"createdAt":"2026-01-20T08:01:00Z","website":"https://www.producthunt.com/r/QPHBQDMB5WWOXZ?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/rippletide-eval-cli?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/3fbee656-6b4a-40b0-8ba2-a310085ceae3.png?auto=format","topics":["分析工具","开发者工具","人工智能"],"firstComment":"作为 Rippletide 的早期工程师,我曾花费无数小时测试 AI agent,并对各种模糊的性能指标感到沮丧。\n\n因此我们构建了 Rippletide CLI:一款终端工具,可直接在命令行中对 AI agent 进行基准测试。它能基于 agent 自身的知识生成问题,支持可复现的测试集,并提供关于幻觉的清晰 KPI。\n\n所有评估均实时运行,包含自动评估和详细报告,从而真正发现 agent 的薄弱环节。\n\n非常期待听到 Product Hunt 社区的想法,并获取来自 AI 构建者同行的反馈 🚀","thumbnail":"https://ph-files.imgix.net/ea9fba7f-78b8-4696-a8ec-ee0f6b67492c.svg?auto=format","date":"2026-01-20","id":"2026-01-20-6-rippletide-eval-cli","taglineEn":"Rippletide CLI is an evaluation tool for AI agents","descriptionEn":"Rippletide CLI is an interactive terminal tool to evaluate AI agent endpoints directly from your command line. It generates questions from the agent's knowledge, supports predefined questions for reproducible benchmarking, and delivers clear hallucination KPIs. Get instant feedback on performance with real time progress, automatic evaluation, and detailed reports.","topicsEn":["Analytics","Developer Tools","Artificial Intelligence"],"firstCommentEn":"As an early engineer at Rippletide, I've spent countless hours testing AI agents and getting frustrated with all the vague performance metrics.\n\nThat's why we built Rippletide CLI: a terminal tool that lets you benchmark your AI agent directly from the command line. It generates questions from the agent's own knowledge, supports reproducible test sets, and gives clear KPIs on hallucinations.\n\nEverything runs in real time with automatic evaluation and detailed reports, so you actually see where your agent struggles.\n\nWould love to hear what the PH community thinks and get feedback from fellow AI builders 🚀","review":"Rippletide Eval CLI 精准切入 AI 应用开发中一个关键但常被忽视的环节:agent 性能的客观、可量化评估。随着 AI agent 日益复杂,开发者亟需超越主观感受的标准化测试工具。该产品将评估流程集成到开发者熟悉的命令行环境中,降低了使用门槛,其核心创新在于结合了基于知识的动态问题生成与预定义测试集,兼顾了测试的灵活性与可复现性。特别值得关注的是其对\"幻觉\"这一核心难题的量化能力,这直接关系到 agent 的可靠性与实用性。目标用户明确为 AI 开发者与工程师,解决了他们在迭代优化过程中的核心痛点。潜在挑战在于如何建立广泛认可的评估基准,以及如何适应不同架构和任务类型的 agent。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["分析工具","开发者工具","AI 与智能体","数据分析与商业智能"]},{"name":"MCPJam Inspector","tagline":"本地测试与开发 ChatGPT 应用和 MCP 应用(扩展应用)","description":"MCPJam Inspector 是用于 ChatGPT 应用和 MCP 服务器的本地测试工具。借助 MCPJam 的小部件模拟器在本地构建应用,并在 Playground 中针对任何大型语言模型进行测试。检查 MCP 服务器的工具、资源、提示词和 OAuth 流程。无需再使用 ngrok 或订阅 ChatGPT。","votesCount":116,"commentsCount":22,"createdAt":"2026-01-20T08:01:00Z","website":"https://www.producthunt.com/r/UDYHEWTXTQBYO5?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/mcpjam-inspector?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/56ad3f01-d942-4a94-bb59-581199404ce3.png?auto=format","topics":["开源","开发者工具","GitHub"],"firstComment":"大家好,我是 MCPJam 的 Matt 👋。\n\n我们创建 MCPJam 是因为围绕构建 ChatGPT 应用、MCP 应用和 MCP 服务器的开发体验并不理想。\n\n要开发一个 ChatGPT 应用,必须订阅 ChatGPT Pro,用 ngrok 将本地 MCP 服务器暴露到公网,然后在 ChatGPT 中远程连接。此外,也没有好的方法来测试 MCP 服务器,观察其在真实生产环境中的行为。\n\n这促使我们构建了 MCPJam 的开源 Inspector。我们引入了:\n本地 ChatGPT 和 MCP 应用模拟器。\n\nLLM Playground,可在真实的聊天环境中使用任何 LLM 测试 MCP 服务器/应用。\n\nOAuth 调试器,可视化 MCP 授权的每一步。\n\n以及一系列解决 MCP 开发痛点的其他功能。\n\n如果你正在构建 ChatGPT 应用、MCP 应用或 MCP 服务器,强烈建议尝试一下!如有任何问题或反馈,欢迎随时给我发邮件。\n\nGitHub: https://github.com/MCPJam/inspector\nEmail: matthew@mcpjam.com","thumbnail":"https://ph-files.imgix.net/a7c60809-46b9-4dfe-a432-817dcfdb667a.svg?auto=format","date":"2026-01-20","id":"2026-01-20-9-mcpjam-inspector","taglineEn":"Test + develop ChatGPT apps and MCP apps (ext-apps) locally","descriptionEn":"MCPJam inspector is the local testing tool for ChatGPT apps and MCP servers. Build your apps locally with MCPJam's widget emulator and test against any LLM in the playground. Inspect your MCP server's tools, resources, prompts, and OAuth flows. No more ngrok or ChatGPT subscription needed.","topicsEn":["Open Source","Developer Tools","GitHub"],"firstCommentEn":"Hey, it's Matt from MCPJam 👋. \n\nWe started MCPJam because the dev experience around building ChatGPT apps, MCP apps, and MCP servers wasn't great. \n\nTo develop a ChatGPT app, you had to get a ChatGPT pro subscription, ngrok you local MCP server, then connect it remotely on ChatGPT. There were also no good ways to test MCP servers and see how they behave in a real production environment.\n\nThat inspired us to build our open source inspector at MCPJam. We introduced:\nLocal ChatGPT and MCP apps emulator.\n\nLLM playground to test your MCP server / apps in a real chat environment with any LLM\n\nOAuth debugger to visualize MCP authorization at every step\n\nand a bunch of other features that addresses the pains of MCP development. \n\nIf you're building a ChatGPT app, MCP app, or MCP server, I highly invite you to give us a try! Feel free to email me if you have any questions or feedback.\n\nGitHub: https://github.com/MCPJam/inspector\nEmail: matthew@mcpjam.com","review":"MCPJam Inspector 精准切入了 AI 应用开发流程中的一个关键痛点:本地化测试与调试。随着 ChatGPT 插件和 MCP(Model Context Protocol)生态的兴起,开发者面临着一个尴尬局面:开发依赖云端服务,测试需要付费订阅和复杂的网络穿透工具。该产品通过提供本地模拟器和 Playground,将开发环境完全本地化,极大地降低了开发门槛和成本。其核心创新在于将 OAuth 流程、工具调用等关键环节可视化,使调试过程从\"黑盒\"变为\"白盒\"。目标用户明确为构建 AI 应用的开发者,特别是那些希望快速迭代和验证 MCP 服务器功能的团队。其开源属性也利于社区共建和信任建立。潜在挑战在于需要紧跟 OpenAI 和 MCP 协议的快速迭代,并说服开发者从现有临时方案迁移到其工具链中。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","education-learning"],"normalizedTopics":["开发者工具","Open Source"]},{"name":"OS Ninja","tagline":"利用人工智能探索和学习开源项目","description":"我们的目标简单而宏大:让深入代码探索的过程更像一场冒险!众所周知,开源是现代互联网的基石,但要找到合适的项目来学习或贡献,却如同大海捞针。现在,这一切将得到改变。我们将复杂的代码仓库转变为由人工智能引导的互动式学习旅程。可以选择最适合的学习方式:深度探索式、苏格拉底问答式、费曼教学法或传统书籍格式。从此告别信息过载的疲劳。","votesCount":268,"commentsCount":16,"createdAt":"2026-01-19T08:01:00Z","website":"https://www.producthunt.com/r/WQ6BONDSWGTZT7?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/os-ninja?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/609fd209-0cf1-4cd2-aed9-d8f3d483adea.png?auto=format","topics":["开源","软件工程","开发者工具"],"firstComment":"大家好,Product Hunt!👋\n\n众所周知,开源是现代互联网的基石,但要找到合适的项目来学习、贡献或集成,却如同在数字草堆中寻找一根针。\n\n我们构建 os.ninja 的初衷,是希望停止\"搜索\",开始\"发现\"。我们想要一种方法,能以忍者般的速度和精度,在庞大的开源软件生态系统中导航。\n\n我们的目标是降低掌握高水平软件技能的门槛。开源不应令人望而生畏,而应成为探索的乐园。通过访问 os.ninja,将获得一个经过精心策划、高价值信号的开源世界视图,并附有数百个开源仓库的学习路径。\n\n很想听听大家的想法:在尝试学习一个新的开源技术栈时,面临的最大挑战是什么?对于如何让产品更有用,有什么建议吗?像 Google CodeWiki 和 Devin's Deep Wiki 这样的项目提供了大量信息,但这并非学习的本质。信息不等于教育。我们构建 os.ninja 的信念是:学习需要一个引人入胜的\"钩子\",而不仅仅是一本手册。\n\n今天我会一直在这里回答问题,并探讨开源软件学习和发现的未来!面对新项目,最大的困扰是什么?我们洗耳恭听所有建议。\n\n祝探索愉快,\nOS Ninja 团队","thumbnail":"https://ph-files.imgix.net/6d7630ef-acfd-42af-9998-adf266d28575.png?auto=format","date":"2026-01-19","id":"2026-01-19-1-os-ninja","taglineEn":"Explore and learn open source using AI","descriptionEn":"Our goal is simple but ambitious: to make deep-diving into code feel more like an adventure! Most of us know that Open Source is the backbone of the modern web, but finding the right project to learn from or contribute to can feel like searching for a needle in a digital haystack. Not anymore. We turn complex code repositories into interactive, AI-guided learning journeys. Choose how you learn best: Deep-dive, Socratic, Feynman, or traditional book format. No more 'wall of information' fatigue.","topicsEn":["Open Source","Software Engineering","Developer Tools"],"firstCommentEn":"Hi Product Hunt! 👋\n\nMost of us know that Open Source is the backbone of the modern web, but finding the right project to learn from, contribute to, or integrate can feel like searching for a needle in a digital haystack.\n\nWe built os.ninja because we wanted to stop \"searching\" and start \"discovering.\" We wanted a way to navigate the massive ecosystem of OSS with the speed and precision of a ninja.\n\nOur goal is to lower the barrier to entry for high-level software mastery. Open source shouldn't be intimidating—it should be your playground. By heading to os.ninja, you're getting a curated, high-signal view of the open-source world with learning paths for hundreds of open source repos.\n\nI'd love to hear your thoughts: What is the biggest challenge you face when trying to learn a new open-source stack? Do you have any suggestions to make the product more useful. Projects like Google CodeWiki and Devin's Deep Wiki throw out a lot of information but that's not how learning happens. Information is not education. We're building os.ninja on the belief that learning requires a hook, not just a handbook. \n\nI'll be here all day to answer questions and chat about the future of OSS learning and discovery! What's your #1 struggle with new projects? We're all ears for suggestions.\n\nHappy hacking, \nTeam OS Ninja","review":"OS Ninja 精准地切入了一个长期存在的开发者痛点:开源项目虽多,但学习门槛高、路径不清晰。它将 AI 技术应用于代码学习领域,通过\"深度探索\"、\"苏格拉底问答\"、\"费曼教学法\"等多种互动模式,将枯燥的代码阅读转变为结构化的学习旅程。这不仅降低了新手参与开源的门槛,也为资深开发者提供了高效掌握新项目架构的路径。其核心创新在于区分\"信息\"与\"教育\",强调\"引人入胜的钩子\",这比单纯提供代码文档或维基更具吸引力。目标用户覆盖从开源新手到寻求技术栈升级的工程师。潜在挑战在于如何持续维护和更新海量开源项目的学习路径,以及如何确保 AI 引导的准确性和深度,避免流于表面。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","Open Source"]},{"name":"Updatest","tagline":"Mac 更新的新家园","description":"Updatest 是一款 Mac 应用,它将来自 Homebrew、Mac App Store、Sparkle、Electron 和 GitHub Releases 的更新统一整合到一个简洁的仪表盘中。发现过时的应用,将手动安装的应用纳入 Homebrew 管理,获取安全详情,并自信地进行批量更新——无需依赖可疑的更新数据库,所有数据都保存在本地。","votesCount":207,"commentsCount":17,"createdAt":"2026-01-19T08:01:00Z","website":"https://www.producthunt.com/r/NKNFFTFSGHEWCS?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/updatest?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/b9f74f29-36a4-4b2b-9690-0c1a55c7c1bd.png?auto=format","topics":["Mac","开发者工具","菜单栏应用"],"firstComment":"大家好,Product Hunt 👋\n\n我是 Jared,一名独立的 macOS 开发者,也是 Updatest 的创造者。\n\nUpdatest 是 Mac 更新的新家园。它将来自 Homebrew、Mac App Store、Sparkle、Electron 和 GitHub Releases 的更新统一整合到一个简洁的仪表盘中。\n\nUpdatest 最初是我为自己构建的一个小工具,目的是将手动安装的应用纳入 Homebrew 管理,从而无需花费时间在终端里就能轻松保持所有内容更新。随着时间的推移,它发展成了一个统一更新所有应用的地方,无论这些应用通过何种方式更新。\n\n我在 Reddit 上分享了第一个版本,获得了更多反馈,最近感觉真正触动了用户的痛点。我们甚至可以追溯到 Updatest 还叫 Caskly 的时候。\n\n用户的反馈表明,这是许多 macOS 用户都会遇到的问题,这帮助推动了应用的发展方向。我很高兴现在它正式结束测试版,终于可以在这里与大家分享。\n\n它是如何运作的 \nmacOS 应用通过许多不同的系统进行更新,一些手动安装的应用之后也可以通过 Homebrew 来管理。Updatest 是第一个以清晰、引导式的方式呈现这一功能的更新器,远在它成为一种常见模式之前。\n\n包含哪些功能? \n- 自动检测每个应用支持的更新源 \n- 为 Homebrew 之外安装的应用提供清晰、引导式的 Homebrew 纳入管理 \n- Homebrew 公式更新与应用程序更新同步 \n- 基于更新源的检查,反映每个应用的更新方式 \n- 完全原生的 macOS 体验,无跟踪,无遥测 \n\n目标很简单:在不损害隐私的前提下,让 macOS 更新变得易于理解。\n\n很乐意听听大家的想法,尤其是在它结束测试版的现在。","thumbnail":"https://ph-files.imgix.net/df1df85f-ff67-4082-a2b9-e482b3634d59.png?auto=format","date":"2026-01-19","id":"2026-01-19-2-updatest","taglineEn":"Your new home for Mac updates.","descriptionEn":"Updatest is a Mac app that unifies updates from Homebrew, Mac App Store, Sparkle, Electron, and GitHub Releases into one clean dashboard. Discover outdated apps, adopt manual installs into Homebrew, get security details, and bulk‑update with confidence—no sketchy update databases, your data stays local.","topicsEn":["Mac","Developer Tools","Menu Bar Apps"],"firstCommentEn":"Hey Product Hunt 👋\n\nI'm Jared, an indie macOS developer and the creator of Updatest.\n\nUpdatest is your new home for Mac updates. It unifies updates from Homebrew, Mac App Store, Sparkle, Electron, and GitHub Releases into one clean dashboard.\n\nUpdatest started as a small tool I built for myself to bring manually installed apps under Homebrew, making it easier to keep everything up to date without spending time in the terminal. Over time it grew into a single place to keep all my apps updated, regardless of how they update.\n\nI shared the first version of Reddit, got more feedback, and most recently felt I really hit a nerve. We can even go all the way back in time to when Updatest was called Caskly.\n\nThe response showed this was a problem a lot of macOS users were running into, which helped drive the direction of the app. I'm excited to finally share it here now that it's officially out of beta.\n\nHow it fits together \nmacOS apps update through many different systems, and some apps you install manually can also be managed by Homebrew later on. Updatest was the first updater to surface this capability in a clear, guided way, long before it became a common pattern.\n\nWhat's included? \n- Automatic detection of supported update sources per app \n- Clear, guided Homebrew adoption for apps installed outside of Homebrew \n- Homebrew formulae updates alongside app updates \n- Source aware update checks that reflect how each app updates \n- A fully native macOS experience with no tracking and no telemetry \n\nThe goal is simple: make macOS updates understandable without compromising privacy.\n\nWould love to hear what you think, especially now that it's out of beta.","review":"Updatest 精准地解决了 macOS 生态中一个长期被忽视的痛点:应用更新渠道的碎片化。对于开发者、高级用户乃至普通 Mac 用户而言,管理来自 App Store、Homebrew、Sparkle、GitHub 等多种来源的应用更新是一项繁琐且容易遗漏的任务。该产品的核心创新在于其\"统一仪表盘\"理念和\"引导式纳入管理\"功能,它不仅聚合信息,更主动帮助用户将手动安装的应用规范化到 Homebrew 体系中,从而简化了长期维护流程。其强调本地数据处理和无追踪的隐私设计,在当今数据安全意识增强的背景下是一大优势。目标用户主要是技术倾向较强的 macOS 用户,尤其是依赖 Homebrew 和多种开源工具的开发者。潜在挑战在于如何持续适配不断变化的更新协议,以及如何向非技术用户有效传达其价值。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","data-analytics"],"normalizedTopics":["生产力与办公","开发者工具","Menu Bar Apps"]},{"name":"FlowGenie","tagline":"构建表单与自动化工作流,体验如魔法般流畅","description":"FlowGenie 是一个无代码平台,通过可视化的、基于节点的流程编辑器来构建表单和工作流。其设计灵感源自虚幻引擎的蓝图系统,逻辑直接呈现在流程图中,而非隐藏在配置面板里。可以构建支持定时调度、外部触发或表单提交启动的工作流。专为开发者、创始人和技术团队设计,在实现自动化的同时,不牺牲清晰度与控制力。","votesCount":159,"commentsCount":14,"createdAt":"2026-01-19T08:01:00Z","website":"https://www.producthunt.com/r/5NC3MLOPM43STH?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/flowgenie?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/e6050006-e767-4ff4-9aad-6e2aa835d721.png?auto=format","topics":["Web 应用","开发者工具","无代码"],"firstComment":"大家好,Product Hunt,我之所以创建 FlowGenie,是因为找不到一款能真正像代码那样直观呈现逻辑的无代码工具。\n\n大多数自动化工具将行为逻辑隐藏在节点内部和配置里。FlowGenie 反其道而行之:输入、输出、分支和条件都直接呈现在流程图中。所见即逻辑。\n\n我个人用它来处理诸如生成每日工程更新(从 Linear 到格式化的 Slack 消息)、内部表单和调查,并将表单嵌入到我们的营销网站中。\n\n目前处于测试阶段:功能稳定,可用于生产环境,但尚未经过大规模测试。特别希望听到那些尝试过 Zapier、n8n、Jotform 或类似工具并感到受限的开发者的反馈。\n\n很高兴回答任何技术问题。","thumbnail":"https://ph-files.imgix.net/01f8304b-c15b-407b-b313-3b70515ff43e.png?auto=format","date":"2026-01-19","id":"2026-01-19-3-flowgenie","taglineEn":"Make building forms and automating workflows feel like magic","descriptionEn":"FlowGenie is a no-code platform for building forms and workflows using a visual, node-based flow editor. Inspired by Unreal Engine blueprints, logic lives in the graph, not hidden inside config panels. Build flows you can schedule, trigger externally, or run from form submissions. Designed for developers, founders, and technical teams who want automation without giving up clarity or control.","topicsEn":["Web App","Developer Tools","No-Code"],"firstCommentEn":"Hey Product Hunt, I built FlowGenie because I couldn't find a no-code tool that actually represented logic the way code works.\n\nMost automation tools hide behavior inside the nodes, and inside config. FlowGenie does the opposite: inputs, outputs, branches, and conditions live directly in the flow graph. What you see is the logic.\n\nI use it personally for things like generating daily engineering updates (Linear -> formatted Slack messages), internal forms and surveys, and we embed the form on our marketing sites.\n\nIt's currently in beta: solid and production-usable, but not yet tested at large scale. I'm especially interested in feedback from developers who've tried Zapier, n8n, Jotform or similar and felt constrained.\n\nHappy to answer any technical questions.","review":"FlowGenie 精准地切入了一个细分市场:为技术背景用户提供兼具可视化便利与逻辑透明度的自动化工具。其核心创新在于借鉴了游戏开发中的\"蓝图\"系统,将工作流的逻辑完全可视化在流程图中,而非隐藏在层层配置之后。这解决了现有无代码/低代码平台(如 Zapier)对开发者而言\"黑盒化\"的痛点,在提升效率的同时保留了代码般的控制感和可理解性。目标用户明确——开发者、技术创始人和技术团队,他们需要自动化来解放生产力,但又无法忍受对底层逻辑的失控。产品定位清晰,但挑战在于如何平衡\"可视化\"与\"复杂性\"的边界,以及如何说服习惯于代码或成熟平台(如 n8n)的用户迁移。其成功关键在于能否在易用性与逻辑表达能力上找到最佳平衡点。","primaryCategory":"developer-tools","categories":["developer-tools"],"normalizedTopics":["Web 应用","开发者工具","无代码","Web App","No-Code"]},{"name":"Cloudchipr","tagline":"云成本可观测性、管理与自动化平台","description":"通过 AI agent 赋能团队,实现云成本优化、解答疑问、解释异常、发送报告、分配任务等功能。","votesCount":122,"commentsCount":6,"createdAt":"2026-01-18T08:01:00Z","website":"https://www.producthunt.com/r/JQC2JGOX6SJA2R?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/cloudchipr?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/7a86120b-6a93-44d2-a919-1443d09bcb4a.png?auto=format","topics":["SaaS","开发者工具"],"firstComment":"很高兴终于看到 Cloudchipr 在这里上线了 🚀\n\n云成本悄无声息地侵蚀着企业的资金跑道,大多数团队意识到时为时已晚。Cloudchipr 的亮点在于,它不仅展示数据,更能自动帮助团队采取行动。成本可视化加上自动化,才是实现真正节约的关键。\n\n其自然语言界面也是一个巧妙的设计。通过提问来了解云成本状况,而不是费力地翻阅仪表板,这感觉是未来的正确方向。\n\n如果你正在使用 AWS、GCP 或 Azure,并且希望在推行 FinOps 的同时不影响工程效率,那么这款产品值得一试。期待看到它的未来发展 👏","thumbnail":"https://ph-files.imgix.net/082695da-8c9d-41b9-b65e-9623a066ec08.png?auto=format","date":"2026-01-18","id":"2026-01-18-4-cloudchipr","taglineEn":"Cloud costs observability,management and automation platform","descriptionEn":"Empower your team with AI agents to optimize cloud costs, answer questions, explain anomalies, send reports, assign tasks, and more.","topicsEn":["SaaS","Developer Tools"],"firstCommentEn":"Excited to finally see Cloudchipr live here 🚀\n\nCloud costs quietly kill runway and most teams realize it way too late. What I like about Cloudchipr is that it does not just show numbers but actually helps teams take action automatically. Cost visibility plus automation is where real savings happen.\n\nThe natural language interface is a smart touch too. Asking your cloud questions instead of digging through dashboards feels like the right direction.\n\nIf you are running AWS, GCP, or Azure and care about FinOps without slowing down engineering, this is worth checking out. Happy to see where this goes 👏","review":"Cloudchipr 精准切入云成本管理这一企业核心痛点。在云原生时代,成本失控已成为许多技术团队面临的\"无声杀手\"。该产品的核心价值在于将\"可观测性\"与\"自动化\"相结合,超越了传统监控工具仅提供数据报表的局限。通过引入 AI agent,它不仅能识别异常、生成报告,还能主动执行优化任务,将 FinOps 理念从被动监控推向主动治理。其自然语言交互界面降低了使用门槛,使非财务背景的工程师也能轻松参与成本管理。目标用户明确为使用主流云服务(AWS/GCP/Azure)且重视成本效率的团队。潜在挑战在于如何深度集成不同云平台的计费模型,以及确保自动化操作的准确性与安全性,避免因误操作引发服务中断。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["SaaS","开发者工具"]},{"name":"Qrystal Uplink","tagline":"面向物联网的云端看门狗","description":"无需再为追踪物联网设备在线状态而构建定制后端。Qrystal Uplink 是一款面向 ESP32 及嵌入式设备群的云端看门狗服务。其采用\"故障闭合\"逻辑:一旦设备失联(崩溃、断电、卡死),系统将通过电子邮件(未来也将支持 Slack、Telegram 等)立即发出警报。仅需 5 分钟集成即可替代数周的基础设施开发工作:• 官方维护的平台 SDK。• 一行代码即可集成。• 无需管理服务器。专注于固件开发,底层连接与监控由我们负责。","votesCount":12,"commentsCount":6,"createdAt":"2026-01-18T08:01:00Z","website":"https://www.producthunt.com/r/NVJTL2IH2O4PIX?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/qrystal-uplink?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/1527a8d4-9102-4f49-ac1c-37fb8010c6af.png?auto=format","topics":["物联网","SaaS","开发者工具"],"firstComment":"Nice idea! good luck with the launch 👍","thumbnail":"https://ph-files.imgix.net/3fa59e10-6ad1-4cea-ba44-2997f7df1278.png?auto=format","date":"2026-01-18","id":"2026-01-18-8-qrystal-uplink","taglineEn":"The cloud-based watchdog for IoT.","descriptionEn":"Stop building custom backends to track IoT uptime. Qrystal Uplink is a cloud-based watchdog for ESP32 & embedded fleets. We use \"fail-closed\" logic: if your device goes silent (crash, power loss, freeze), we alert you instantly via Email (as well as Slack, Telegram, etc. in the future). Replace weeks of infrastructure work with 5 minutes of integration: • Officially maintained platform SDKs. • One line of code. • No servers to manage. Focus on your firmware. Let us handle the plumbing.","topicsEn":["Internet of Things","SaaS","Developer Tools"],"firstCommentEn":"Nice idea! good luck with the launch 👍","review":"Qrystal Uplink 精准切入物联网开发中一个普遍但常被忽视的痛点——设备状态监控与告警。对于大量部署 ESP32 等嵌入式设备的开发者而言,自行构建稳定、可靠的后端监控系统耗时耗力,且非核心业务。该产品将这一功能抽象为云端 SaaS 服务,通过\"故障闭合\"逻辑和极简的 SDK 集成,极大降低了开发门槛和运维成本。其核心价值在于让开发者能专注于核心的固件与功能开发,而将设备连通性、心跳检测、异常告警等\"脏活累活\"标准化、服务化。目标用户明确为物联网硬件开发者、初创公司及有设备管理需求的企业。其挑战在于如何建立开发者信任,确保服务的高可用性与数据安全性,以及在竞争日益激烈的 IoT 平台市场中找准差异化定位。","primaryCategory":"developer-tools","categories":["developer-tools","productivity"],"normalizedTopics":["物联网","SaaS","开发者工具","Internet of Things"]},{"name":"Sled","tagline":"通过语音,在手机上运行编码助手","description":"Sled 允许通过语音在手机上运行编码助手。编码助手需要频繁输入,但一旦离开办公桌,它们就会闲置。Sled 通过提供一个语音界面来解决这个问题,该界面通过 Tailscale 安全地连接到本地运行的助手。代码始终保留在本地机器上。用户通过语音发出指令,助手在本地执行,并将结果通过语音反馈回来。兼容 Claude Code、OpenAI Codex 和 Gemini CLI。完全开源。","votesCount":305,"commentsCount":33,"createdAt":"2026-01-17T08:01:00Z","website":"https://www.producthunt.com/r/GIST7WKSWTFZZE?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/sled-voice-interface-for-claude-code?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/2d7e6716-7493-4b97-add0-c95b9a8edb37.png?auto=format","topics":["开源","开发者工具","人工智能","GitHub"],"firstComment":"大家好,Product Hunt 👋\n\n我们构建 Sled 是因为每当离开办公桌,我们的编码助手就会卡住。它们每 10 到 60 分钟就需要输入——而当不在电脑前时,终端操作体验极差。\n\nSled 为本地编码助手提供了一个语音界面。通过手机说话,助手在电脑上运行,并可以听到它的执行结果。代码不会离开本地机器——所有通信都通过 Tailscale 进行。\n\n它完全开源,大约 5 分钟即可完成设置。\n\n我们非常期待大家的反馈、问题,或者关于下一步发展方向的任何想法 🛷","thumbnail":"https://ph-files.imgix.net/e112bc09-c50b-44cb-920c-698418ca0703.png?auto=format","date":"2026-01-17","id":"2026-01-17-0-sled","taglineEn":"Run your coding agent from your phone, with voice","descriptionEn":"Sled lets you run your coding agent from your phone using voice. Coding agents need frequent input, but when you step away from your desk they just sit idle. Sled solves this by giving you a voice interface that connects securely to your local agent over Tailscale. Your code never leaves your machine. You talk, the agent works locally, and you hear the result read back. Works with Claude Code, OpenAI Codex, and Gemini CLI. Fully open source.","topicsEn":["Open Source","Developer Tools","Artificial Intelligence","GitHub"],"firstCommentEn":"Hey Product Hunt 👋\n\nWe built Sled because our coding agents kept getting stuck whenever we stepped away from our desks. They need input every 10–60 minutes — and terminals are terrible for that when you're not sitting in front of them.\n\nSled gives you a voice interface to your local coding agent. You talk from your phone, the agent runs on your computer, and you hear what it did. No code leaves your machine — everything goes over Tailscale.\n\nIt's fully open source and takes about 5 minutes to set up.\n\nWe'd love feedback, questions, or ideas for where this could go next 🛷","review":"Sled 精准地切入了一个被忽视的开发者工作流痛点:编码助手(AI agent)的交互连续性。这类工具通常需要频繁的上下文输入和指令调整,一旦开发者离开电脑,工作流就会中断。Sled 的创新之处在于,它没有试图改变 agent 本身,而是通过一个轻量级的语音界面,巧妙地扩展了交互场景,将手机变成了一个远程控制终端。其核心价值在于提升了开发者的移动性和灵活性,允许在通勤、休息间隙也能持续进行编码任务。采用 Tailscale 确保安全、代码不离本地,以及开源属性,都极大地增强了其对注重隐私和安全的技术用户的吸引力。潜在挑战在于语音交互在复杂编程逻辑表达上的精确性,以及如何平衡便捷性与安全性。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","Open Source"]},{"name":"1Code","tagline":"为 Claude Code 打造的开源 Cursor 式界面","description":"1Code 是什么?这是一款可在 Mac 和 Web 端并行运行 Claude Code agent 的应用程序。在 Mac 上,支持本地运行,可选择是否使用工作树模式。在 Web 端,则可在远程沙箱中运行,并提供应用程序的实时预览(包括移动端),从而实现随时随地监控 agent 状态。并行运行多个 Claude Code 显著提升了我们的功能开发速度。","votesCount":376,"commentsCount":39,"createdAt":"2026-01-16T08:01:00Z","website":"https://www.producthunt.com/r/YGTESR73YSIAM7?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/1code-cursor-like-ui-for-claude-code?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/e5a424df-c638-49a7-8fff-7bd82e18cd80.jpeg?auto=format","topics":["开发者工具","人工智能","GitHub","氛围编程"],"firstComment":"大家好,我们是来自 21st.dev 的 Serafim 和 Sergey。在过去 10 个月里,我们构建并发布了 9 款产品,累计获得超过 100 万用户、20 万美元收入以及 1 万 GitHub star。\n\n动机\nClaude Code 已成为我们过去 4 个月的主力工具。当 Opus 4.5 发布后,并行 agent 不再需要人工值守。\n终于可以同时运行多个 agent 并信任它们。但随着运行的 agent 增多,CLI 界面愈发显得像一种限制,而非优势。\n\n因此我们构建了 1Code.dev\n\n下一步计划:\n推出 Bug 机器人,用于根据代码变更识别问题;QA Agent,用于检查新功能是否破坏现有功能。\n集成 OpenCode、Codex 等其他模型与编程 agent。\n提供 API,支持在远程沙箱中启动 Claude Code。在 AI 编程时代,调试与错误定位变得前所未有的重要。\n\n尝试使用:\n项目完全开源,可直接使用 bun 构建。\n我们也提供付费方案——这对我们而言是验证方向正确性的重要信号。\n\n无论如何,我们非常期待听到您的反馈!","thumbnail":"https://ph-files.imgix.net/00adb608-d473-4954-be74-2960df59ef2d.png?auto=format","date":"2026-01-16","id":"2026-01-16-0-1code","taglineEn":"Open source Cursor-like UI for Claude Code","descriptionEn":"Whats 1Code? An app to run your Claude Code agents in parallel that works on Mac and Web. On Mac - run locally, with or without worktrees. On Web - run in remote sandboxes with live previews of your app, mobile included, so you can check on agents from anywhere. Running multiple Claude Codes in parallel dramatically sped up how we build features.","topicsEn":["Developer Tools","Artificial Intelligence","GitHub","Vibe coding"],"firstCommentEn":"Hi It's Serafim and Sergey from 21st.dev, in the last 10 months we've built and launched 9 products, getting over 1 millions total users, $200k in revenue, and 10k GitHub stars.\n\nMotivation\nClaude Code has been our go-to for 4 months. When Opus 4.5 dropped, parallel agents stopped needing babysitting.\nYou could finally run multiple and trust them. But the more agents we ran, the more the CLI felt like a limitation, not a feature.\n\nSo we built 1Code.dev\n\nWhat's next:\nBug bot for identifying issues based on your changes; QA Agent, that check that new features dont break anything\nAdding OpenCode, Codex, other models and coding agents.\nAPI for starting Claude Codes in remote sandboxes. Debugging and spotting errors in AI Coding Era is more critical than ever\n\nTry it:\nWe're open-source, so you can just bun build it.\nPaid tiers exist too - for us it's gonna be highest signal that we're on the right track.\n\nEither way, we'd love to hear your feedback!","review":"1Code 精准地抓住了 AI 编程工作流中的一个关键痛点:随着 Claude Code 等 AI 编程 agent 能力的成熟,开发者需要同时管理多个并行任务,而传统的命令行界面(CLI)在可视化、状态监控和跨平台协作方面存在明显短板。该产品通过提供类似 Cursor 的现代化图形界面,将 AI 编程从\"黑盒\"操作转变为可视化、可管理的开发流程。其核心创新在于支持本地与云端沙箱双模式运行,并集成了实时预览功能,这尤其适合需要快速迭代和远程协作的团队。目标用户是深度依赖 AI 编程工具的开发者、创业团队和效率追求者。潜在挑战在于需要持续跟进 Claude API 的更新,并处理好与不断涌现的其他 AI 编程工具(如 Windsurf、Bloop)的竞争关系。其开源策略有助于快速建立社区和获取反馈,而付费模式则验证了产品的商业价值。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["开发者工具","AI 与智能体","Vibe coding"]},{"name":"TranslateGemma ","tagline":"基于谷歌模型的开源翻译,支持 55 种语言","description":"TranslateGemma 是一套基于谷歌 Gemma 3 构建的全新开源 AI 翻译模型套件。它支持跨 55 种语言的高质量沟通,兼具出色的准确性与卓越的效率。该套件专为移动设备、本地设备和云端环境设计,可在这些平台上运行且不牺牲性能。","votesCount":221,"commentsCount":4,"createdAt":"2026-01-16T08:01:00Z","website":"https://www.producthunt.com/r/XFLAPJJYJOJQYA?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/translategemma?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/27f26584-00c3-4f5f-ae95-9712d6953059.png?auto=format","topics":["开源","语言","开发者工具"],"firstComment":"大家好 👋\n\n很高兴分享 TranslateGemma!这是一套基于谷歌 Gemma 3 构建的全新开源翻译模型套件。\n\n它支持跨 55 种语言的清晰交流。模型提供适用于移动端、本地和云端的不同尺寸版本。这有助于开发者避免使用封闭的 API 和承担高昂成本。","thumbnail":"https://ph-files.imgix.net/507edb1a-ad02-40e0-8136-f04ee0517643.png?auto=format","date":"2026-01-16","id":"2026-01-16-2-translategemma-","taglineEn":"Open translation on Google models, supporting 55 languages","descriptionEn":"TranslateGemma is a new suite of open AI translation models built on Google's Gemma 3. It enables high-quality communication across 55 languages, combining strong accuracy with exceptional efficiency. Designed to run on mobile, local devices, and cloud environments without compromising performance.","topicsEn":["Open Source","Languages","Developer Tools"],"firstCommentEn":"Hey everyone 👋\n\nExcited to share TranslateGemma! A new open translation model suite built on Google's Gemma 3.\n\nIt supports clear talk across 55 languages. Models come in sizes for mobile, local, and cloud use. This helps builders avoid closed APIs and high costs.","review":"TranslateGemma 瞄准了 AI 翻译领域的一个关键痛点:对封闭、昂贵商业 API 的依赖。它基于谷歌强大的 Gemma 3 模型构建,提供开源替代方案,直接赋予开发者自主权和成本控制能力。其核心价值在于\"效率\"与\"可及性\"的结合——通过提供不同尺寸的模型,覆盖从移动端到云端的全场景部署,打破了高性能翻译模型对强大算力的单一依赖。这尤其利好中小开发者、独立研究者和注重数据隐私的企业。产品定位清晰,旨在成为开源 AI 翻译的基础设施。潜在挑战在于,作为后发者,如何在翻译质量、语言覆盖广度及社区生态上,与成熟的商业 API 和现有开源方案(如 NLLB)竞争并建立差异化优势。","primaryCategory":"developer-tools","categories":["developer-tools","education-learning","ai-agents"],"normalizedTopics":["开发者工具","教育与学习","Open Source","Languages"]},{"name":"AI Test Engineer by BlinqIO","tagline":"生成 Playwright 代码 + 自愈测试,无供应商锁定","description":"BlinqIO 的 AI 测试工程师能在几分钟内构建和维护 Playwright 自动化测试——在代码仓库中生成真实的代码,与 CI/CD 集成,并在应用变更时实现自愈。无供应商锁定,只为提供更快、更稳定、零接触的测试体验。","votesCount":228,"commentsCount":40,"createdAt":"2026-01-15T08:01:00Z","website":"https://www.producthunt.com/r/STPGBR7ACK5RAY?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/ai-test-engineer-by-blinqio?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/ed240a66-26bc-4b6d-8e8c-1a70b1158247.png?auto=format","topics":["生产力","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt,\n我是 Tal,BlinqIO 的创始人兼 CEO——我们致力于提供端到端测试的 AI 测试工程师。\n\n我们本身也是工程师,为技术社区打造产品,并亲身经历过这种痛点:\n测试自动化是软件发布周期中最大的瓶颈之一——尤其是端到端测试。\n我们构建 BlinqIO 正是为了彻底消除这一瓶颈。\n\nBlinqIO 引入了 Vibe Testing:\n一个利用 GenAI 自动创建、维护、执行和分析端到端测试的 AI 测试工程师。\n在底层,BlinqIO 生成真实的 Playwright 测试代码,并存储在你自己的 Git 仓库中——因此不存在供应商锁定。测试代码完全由你掌控。\n\n最终结果:端到端测试从一个持续的人力负担转变为自主的 AI 能力,最终实现更快、更安全的发布。\n\n可以免费开始使用。\n\n下一步计划:我们已经在扩展 AI 测试工程师的能力,以支持 API 测试。\n\n我们非常期待您的反馈:您希望 AI 测试工程师接下来支持哪些其他测试领域或工作流?\n\nTal","thumbnail":"https://ph-files.imgix.net/318b91b7-a4bc-48c7-b3e2-cbf40e19a47c.png?auto=format","date":"2026-01-15","id":"2026-01-15-3-ai-test-engineer-by-blinqio","taglineEn":"Playwright code + self-healing tests w/ no vendor lock-in","descriptionEn":"BlinqIO's AI Test Engineer builds and maintains Playwright automation in minutes - generating real code in your repo, integrating with CI/CD, and self-healing when your app changes. No lock-in, just faster, stable, zero-touch testing.","topicsEn":["Productivity","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hi Product Hunt, \nI'm Tal, founder and CEO of BlinqIO - the AI Test Engineer for end-to-end testing.\n\nWe're engineers ourselves, building for the technical community, and we've felt this pain firsthand:\ntest automation is one of the biggest bottlenecks in software release cycles - especially E2E testing.\nWe built BlinqIO to remove that bottleneck entirely.\n\nBlinqIO introduces Vibe Testing:\nAn AI Test Engineer that uses GenAI to create, maintain, execute, and analyze end-to-end tests automatically.\nUnder the hood, BlinqIO generates real Playwright test code, stored in your own Git repository - so there's no vendor lock-in. You fully own the tests.\n\nThe result: E2E testing goes from a constant human burden to an autonomous AI capability, finally unblocking faster, safer releases.\n\nIt is free to get started.\n\nWhat's next: we're already working on extending the AI Test Engineer to support API testing.\n\nWe'd love your feedback: What other testing areas or workflows would you like us to support next with the AI Test Engineer?\n\nTal","review":"AI Test Engineer 直击软件测试自动化的核心痛点——端到端测试的维护成本高、易碎性强。其创新点在于将生成式 AI 与成熟的 Playwright 框架结合,不仅生成可读、可维护的真实代码,还实现了测试用例的\"自愈\"能力,能适应应用界面的变化。最大的差异化优势是\"无供应商锁定\",测试代码完全存储在用户自己的 Git 仓库中,保障了技术自主权。这一定位精准面向重视代码所有权和 CI/CD 集成的技术团队。产品将测试从一项重复性劳动转变为由 AI 驱动的自动化流程,有望显著提升发布速度和软件质量。潜在挑战在于如何保证 AI 生成测试的准确性和覆盖率,以及处理复杂业务逻辑场景的能力。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["生产力与办公","开发者工具","AI 与智能体"]},{"name":"Cursor AI Mobile","tagline":"直接从 iPhone 控制 Cursor AI","description":"通过 Cursor Mobile 随时随地访问 AI 编程助手——这是专为 iPhone 和 iPad 设计的 Cursor IDE 伴侣应用。从移动设备发送指令,通过 Cursor CLI 在 Mac 上即时执行,结果和会话历史实时同步,实现无缝的持续工作流。","votesCount":127,"commentsCount":2,"createdAt":"2026-01-15T08:01:00Z","website":"https://www.producthunt.com/r/3E4J3WK2FFE7HL?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/cursor-mobile-remote-ide?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/860fd3bd-dfac-45d8-8345-98320a28ce2e.png?auto=format","topics":["开发者工具","人工智能","Vibe coding"],"firstComment":"是哪个具体的\"离开笔记本电脑\"时刻(例如待命、通勤、开会等)让你意识到需要一个移动伴侣应用?又是什么证据让你确信远程桌面/SSH 或仅仅使用通用聊天应用无法很好地解决这个问题?","thumbnail":"https://ph-files.imgix.net/bde88277-036a-4acf-9c25-2f6042c2dd8c.png?auto=format","date":"2026-01-15","id":"2026-01-15-8-cursor-ai-mobile","taglineEn":"Сontrol Cursor AI directly from your iPhone","descriptionEn":"Access your AI coding assistant anywhere with Cursor Mobile - the companion app for Cursor IDE on iPhone and iPad. Send prompts from your device that run instantly on your Mac through the Cursor CLI, with results and chat history syncing back in real time for a continuous workflow.","topicsEn":["Developer Tools","Artificial Intelligence","Vibe coding"],"firstCommentEn":"What specific \"away-from-your-laptop\" moment (on-call, commuting, meetings, etc.) made you realize a mobile companion was necessary, and what evidence convinced you this wasn't solved well by remote desktop/SSH or just using a generic chat app?","review":"Cursor AI Mobile 精准地切入了一个被忽视的开发者场景:移动状态下的轻量级编程辅助。它并非简单地将 IDE 搬到手机上,而是创造性地通过 CLI 桥接移动端与桌面端,实现了\"移动输入、桌面执行\"的混合工作流。这解决了开发者在通勤、会议间隙等碎片化时间里,希望快速发起代码查询、调试或生成任务,但又无需完整开发环境的痛点。其核心价值在于保持了 Cursor AI 的强大能力,同时提供了前所未有的便捷性。目标用户是重度依赖 Cursor IDE 的开发者,尤其是那些工作流需要频繁切换场景的人。潜在挑战在于交互的深度限制,复杂任务仍需回归桌面,以及如何平衡移动端的即时性与桌面端执行的延迟体验。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["开发者工具","AI 与智能体","Vibe coding"]},{"name":"GitHub Space Shooter","tagline":"将 GitHub 贡献图可视化为太空射击游戏","description":"这个项目并非为了解决任何实际问题,纯粹是将 GitHub 贡献图变成一个太空射击游戏的战场 🚀。可以选择使用网页应用进行一次性的生成,或者使用 GitHub Action 进行基于计划的定期生成。","votesCount":125,"commentsCount":11,"createdAt":"2026-01-15T08:01:00Z","website":"https://www.producthunt.com/r/2GFMIASXN4XMVH?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/github-space-shooter?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/4bc73b5e-6ffc-42bc-9dd7-138cbc043a38.png?auto=format","topics":["开发者工具","GitHub","数据可视化"],"firstComment":"这个项目并非为了解决任何实际问题,纯粹是出于兴趣而构建。希望有人会觉得它有趣!","thumbnail":"https://ph-files.imgix.net/5f4298d9-44c0-49e9-9c49-86dcfd97e2ec.vnd.microsoft.icon?auto=format","date":"2026-01-15","id":"2026-01-15-9-github-space-shooter","taglineEn":"Visualizes GitHub contribution graphs as a Space Shooter","descriptionEn":"The project does not solve any problem. But just turn your github contribution graph into a space shooter battle field 🚀. You can either use the web app for a one time generation or use the github action for a schedule based generation.","topicsEn":["Developer Tools","GitHub","Data Visualization"],"firstCommentEn":"The project does not solve any problem, and I built this purely for fun. Hope someone find this interesting!","review":"GitHub Space Shooter 是一款典型的\"趣味性\"开发者工具,其核心价值不在于解决效率痛点,而在于为枯燥的代码贡献活动注入游戏化与视觉化的乐趣。它将 GitHub 贡献图这一严肃的开发者\"履历\"转化为动态的太空射击战场,让每一次代码提交都成为一次\"战斗\",巧妙地满足了开发者对自我成就的展示欲和娱乐需求。目标用户主要是活跃的 GitHub 用户和开发者社区成员,尤其适合那些乐于分享和个性化自己开发者档案的人群。其创新点在于将数据可视化与游戏机制结合,为开发者工具领域带来了轻松、创意的维度。然而,其应用场景相对有限,更多是作为个人趣味项目或社区互动的小彩蛋,难以形成持续的实用价值或商业转化。","primaryCategory":"developer-tools","categories":["developer-tools","data-analytics"],"normalizedTopics":["开发者工具","数据分析与商业智能"]},{"name":"Simpl.","tagline":"一款用于处理真实数据的愉悦型 Postgres 浏览器","description":"每个 Postgres 项目最终都需要一种浏览生产数据的方式。开发者要么忍受丑陋、昂贵且过于复杂的企业级工具,要么再构建一个需要维护的自定义管理面板。Simpl 与众不同。只需粘贴连接字符串,即可立即获得一个美观、可浏览的界面。智能筛选、自然地跟随外键、自定义显示内容并与团队共享。由独立开发者构建,专为独立开发者和小型团队设计。","votesCount":240,"commentsCount":27,"createdAt":"2026-01-14T08:01:00Z","website":"https://www.producthunt.com/r/YPOBYX7A7MCPVR?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/simpl-4?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/8b0b8744-de40-4d25-87f4-7b0c82a9faa7.png?auto=format","topics":["开发者工具","数据库"],"firstComment":"大家好,Product Hunt 👋\n\n我是 Charlie,Simpl 的创造者(也是其他一堆东西的制作者,哈哈)。\n\n在基于同一技术栈(Next.js + Postgres)发布了 10 多个产品,并且每次都遇到相同困境后,我构建了 Simpl:\n\n产品上线 → 需要理解真实用户数据 → 打开一个笨重的数据库工具 → 后悔 → 构建一个自定义管理后台 → 告诉自己不会永远维护它 → 重复。\n\n尝试过的所有工具要么丑陋,要么功能过剩,要么对于本应简单的事情来说工作量太大。\n\n所以我构建了一直想要的工具。\n\nSimpl 是一款极其简洁美观的 Postgres 浏览器。\n不是 BI 工具,不是 CMS,也不是应用构建器。\n只是一个快速、直观地探索和编辑数据的方式。\n\n它的出色之处在于:\n符合直觉的点击式关系导航\n\n类型感知的字段、筛选器和内联编辑\n\n开箱即用的列表和详情视图\n\n实时查询,数据不存储在我们的服务器上\n\n49 美元一次性价格,无需订阅\n\n设置大约需要 30 秒。粘贴连接字符串即可开始使用。\n\n我为那些追求清晰和简洁的独立开发者和小型团队构建了这款工具。\n\n非常期待大家的反馈:\n哪些地方感觉不清楚或缺失?\n\n什么因素会让您立即决定购买?\n\n感谢查看,很高兴回答任何问题 🙏","thumbnail":"https://ph-files.imgix.net/8baeb441-d436-4ad9-9ff4-a865f9b315cc.png?auto=format","date":"2026-01-14","id":"2026-01-14-2-simpl.","taglineEn":"A pleasant Postgres browser for working with real data","descriptionEn":"Every Postgres project eventually needs a way to browse production data. You either suffer through ugly, expensive, and overly complex enterprise-grade tools, or build yet another custom admin panel that you need to maintain. Simpl is different. Paste your connection string and instantly get a beautiful, browsable interface. Filter intelligently, follow foreign keys naturally, customize what you see, and share with your team. Built by a solo dev, for solo devs and small teams.","topicsEn":["Developer Tools","Database"],"firstCommentEn":"Hey Product Hunt 👋\n\nI'm Charlie, the maker of Simpl (and a bunch of other stuff lol)\n\nI built Simpl after shipping 10+ products on the same stack (Next.js + Postgres) and hitting the same wall every time:\n\nYou launch → you need to understand real user data → you open a heavy DB tool → regret → build a custom admin → promise yourself you won't maintain it forever → repeat.\n\nEverything I tried felt either ugly, overpowered, or way too much work for something that should be simple.\n\nSo I built the tool I always wanted.\n\nSimpl is a beautifully simple Postgres browser.\nNot a BI tool. Not a CMS. Not an app builder.\nJust a fast, intuitive way to explore and edit your data.\n\nWhat it does really well:\nClick-through relationship navigation that just makes sense\n\nType-aware fields, filters, and inline editing\n\nList and detail views that work out of the box\n\nReal-time querying, no data stored on our servers\n\n$49 one-time price, no subscription\n\nSetup takes about 30 seconds. Paste your connection string and you're in.\n\nI built this for solo devs and small teams who want clarity and simplicity.\n\nI'd love your feedback:\nWhat feels unclear or missing?\n\nWhat would make this an instant buy for you?\n\nThanks for checking it out, and happy to answer any questions 🙏","review":"Simpl 精准地切入了一个被忽视的细分市场:为独立开发者和小型团队提供轻量、美观且专注的 Postgres 数据浏览工具。它避开了传统数据库工具的笨重和复杂,也绕开了自建管理后台的维护负担,定位非常清晰。其核心价值在于\"愉悦\"和\"简单\",通过直观的点击导航、类型感知的编辑和实时查询,将数据库探索从一项繁琐任务转变为流畅体验。一次性付费模式更是直击小型团队对成本控制和预算透明的需求。然而,其挑战在于功能深度与专业企业级工具的差距,以及如何说服开发者放弃免费或开源替代方案。总体而言,Simpl 是\"少即是多\"哲学的优秀实践,有望成为小型技术团队提升数据操作效率的利器。","primaryCategory":"developer-tools","categories":["developer-tools","data-analytics"],"normalizedTopics":["开发者工具","数据库","Database"]},{"name":"Redlight Greenlight for Claude Code","tagline":"在 Mac 任意位置批准或拒绝 Claude Code 权限请求","description":"一款原生 macOS 菜单栏应用,以浮动覆盖层形式显示 Claude Code 的权限请求。无需切换至终端即可进行响应。","votesCount":107,"commentsCount":4,"createdAt":"2026-01-14T08:01:00Z","website":"https://www.producthunt.com/r/U62CCN2HFODKDY?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/redlight-greenlight-for-claude-code?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/fd025b26-9530-4846-8e53-9994b2a9110e.png?auto=format","topics":["开发者工具","人工智能","菜单栏应用"],"firstComment":"大家好,Product Hunt!👋\n\n开发 Redlight Greenlight 是因为厌倦了每次 Claude Code 需要运行命令权限时都要切换到终端。有时还会因为忘记处理而一直等待权限,拖慢工作节奏。\n\n现在可以:\n ✦ 使用键盘快捷键批准或拒绝(Opt+Return / Opt+Esc),(Opt+D 关闭)\n ✦ 清晰查看 Claude Code 想要运行的具体命令及其所在目录\n ✦ 处理多个排队请求\n ✦ 将覆盖层保持在屏幕任意位置\n\n这是一个简单的工具,每天能节省数十次上下文切换。","thumbnail":"https://ph-files.imgix.net/0b6a859e-409a-4636-be69-5b30bfae631f.png?auto=format","date":"2026-01-14","id":"2026-01-14-7-redlight-greenlight-for-claude-code","taglineEn":"Accept or reject Claude Code permission from anywhere on Mac","descriptionEn":"A native macOS menu bar app that displays Claude Code permission requests in a floating overlay. Respond without switching to the terminal.","topicsEn":["Developer Tools","Artificial Intelligence","Menu Bar Apps"],"firstCommentEn":"Hey Product Hunt! 👋\n\nI built Redlight Greenlight because I was tired of constantly switching to my terminal every time Claude Code needed permission to run a command. Sometimes it also keeps awaiting for permission cause you forget about it, and it slows you down.\n\n Now I can:\n ✦ Accept or reject with keyboard shortcuts (Opt+Return / Opt+Esc), (Opt+D to Dismiss)\n ✦ See exactly what command Claude Code wants to run, and in which directory\n ✦ Handle multiple queued requests\n ✦ Keep the overlay anywhere on my screen\n\n It's a simple tool that saves me dozens of context switches every day.","review":"Redlight Greenlight 精准地解决了 AI 编程助手(Claude Code)工作流中的一个具体痛点——频繁的权限确认中断。它将原本需要切换至终端的交互,通过原生菜单栏应用和浮动覆盖层无缝集成到现有桌面环境中,极大减少了开发者的上下文切换成本。产品定位清晰,目标用户明确,即深度使用 Claude Code 等 AI 编程工具的 macOS 开发者。其创新点在于将安全控制(权限审批)与效率工具(快捷键、队列管理)结合,在保障安全性的前提下优化了人机协作的流畅度。优势在于轻量、专注和极致的场景化设计。潜在挑战在于其功能与特定工具(Claude Code)深度绑定,若该工具的工作流或 API 发生重大变化,可能需要快速适配。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["开发者工具","AI 与智能体","生产力与办公","Menu Bar Apps"]},{"name":"Atoms","tagline":"将创意转化为业务。从创意编码到创意商业","description":"Atoms 是首个创意商业团队,能将创意转化为真正的业务。它进行市场研究、产品设计、前后端开发、整合身份验证和支付系统,并交付一个可以产生收益的上线应用,而不仅仅是原型。","votesCount":231,"commentsCount":42,"createdAt":"2026-01-13T08:01:00Z","website":"https://www.producthunt.com/r/5YDJNA3Z5IQIGD?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/atoms-2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/19e4d709-9732-434e-a6d1-b6794f6b46e1.jpeg?auto=format","topics":["生产力","开发者工具","人工智能"],"firstComment":"大家好 PH 👋 我是 Mike,Atoms 团队负责人。\n\n过去几年,我们一直执着于一个问题:AI 团队能否构建一个真正盈利的业务,而不仅仅是漂亮的演示?\n\nAtoms 接收一个原始创意,并运行完整的链路:研究 → 设计 → 开发 → 上线 → 流量 → 收益。我的工作是确保 AI 做出明智的权衡并真正交付产品。\n\n欢迎提问任何关于如何运行多 agent\"团队\"、如何评估业务创意,或者当要求 AI 拥有完整 P&L 所有权时会出现什么问题的问题。","thumbnail":"https://ph-files.imgix.net/6da981b5-65c6-4867-84a9-dd9a01ece449.svg?auto=format","date":"2026-01-13","id":"2026-01-13-2-atoms","taglineEn":"Turn Ideas Into Business. From Vibe Coding to Vibe Business","descriptionEn":"Atoms is the first vibe business team that turns your ideas into business. It researches your market, designs the product, builds frontend and backend, connects auth and payments, and ships a live app you can make profit, not just a prototype","topicsEn":["Productivity","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey PH 👋 I'm Mike, team lead for Atoms.\n\nFor the past few years we've been obsessed with one question: can an AI team build a real, profitable business, not just a nice demo?\n\nAtoms takes a raw idea and runs the whole chain: research → design → build → launch → traffic → revenue. My job is to make sure the AI makes sane trade-offs and actually ships.\n\nHappy to answer anything about how we run multi-agent \"teams\", how we evaluate business ideas, or what breaks when you ask AI to own a full P&L.","review":"Atoms 直面创业者面临的核心痛点——从创意到盈利业务的漫长且高风险的转化过程。传统路径需要创业者同时掌握市场研究、产品设计、技术开发等多项专业能力,成本高昂且周期冗长。Atoms 通过 AI agent 团队的协作机制,自动化整个业务构建流程,将创意快速转化为可盈利的应用。其创新之处在于不仅提供原型,而是交付包含支付、认证等完整商业化要素的生产级应用。这种端到端的解决方案特别适合非技术创业者、小型初创公司和有创意但资源受限的团队。潜在风险包括 AI 生成业务的质量稳定性、市场适配度预判的准确性,以及与真人团队相比的创新深度。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","ai-agents"],"normalizedTopics":["生产力与办公","开发者工具","AI 与智能体"]},{"name":"Recent.dev","tagline":"实时获取常用工具的更新通知","description":"停止手动寻找更新。选择开发栈中的工具——从 Next.js 到 Attio——工具变动时即刻收到电子邮件通知。通过专为用户定制的信息流,及时了解破坏性变更和新功能,远离噪音干扰。","votesCount":129,"commentsCount":31,"createdAt":"2026-01-13T08:01:00Z","website":"https://www.producthunt.com/r/QDSJZQPEAIR4PN?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/recent-dev?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/391eed7a-b634-4596-9690-9690d9b28ea6.png?auto=format","topics":["生产力","新闻","开发者工具"],"firstComment":"大家好,Product Hunt!👋\n\n我是 Dima 和 Emil,Recent.dev 的开发者。\n\n作为开发者,我们的工具栈包含 50+ 个不同的工具。但要及时了解这些工具的最新更新和新功能变得相当困难。我经常需要浏览 Twitter 信息流,手动访问收藏的更新日志,查看有什么新东西以及如何改进工作流。\n\n这就是我们构建 Recent.dev 的原因。非常简单:\n1. 选择常用和喜爱的工具。\n2. 工具发布新内容时,立即收到聚合邮件。\n\n不依赖可能遗漏技术细节的\"AI 摘要\",只提供保持生产应用稳定运行所需的原始更新。\n\n很想听听大家的看法:在开发栈中,哪一个工具最难追踪?\n\n我会全天在线回答问题和处理工具请求!🚀","thumbnail":"https://ph-files.imgix.net/d47d3134-c4cc-48f8-8fdc-d69c41cedb9c.png?auto=format","date":"2026-01-13","id":"2026-01-13-6-recent.dev","taglineEn":"Real-time changelog updates for your favorite tools","descriptionEn":"Stop hunting for updates. Select your stack - from Next.js to Attio - and receive instant email updates the moment your tools change. Stay ahead of breaking changes and new features with a feed curated specifically for you. No noise.","topicsEn":["Productivity","News","Developer Tools"],"firstCommentEn":"Hi Product Hunt! 👋\n\nDima and Emil here, makers of recent.dev.\n\nAs builders, our tool set consists of 50+ different tools we use as part of our craft. But staying up to date with the recent updates and new features becomes quite challenging. I find my self regularly scouting the twitter feed, and manually going to bookmarked changelogs to see what's new, and how I can improve my workflow.\n\nThat's why we built recent.dev. It's simple:\n1. Select the tools you use and love.\n2. Get an aggregated email the second they release something new.\n\nNo \"AI summaries\" that miss the technical nuance, just the raw updates you need to keep your production apps running smoothly.\n\nI'd love to hear from you: What is the one tool in your stack that is the hardest to keep track of?\n\nI'll be here all day to answer questions and take tool requests! 🚀","review":"Recent.dev 精准切中开发者的实际痛点——在高度碎片化的开发工具生态中保持信息同步。开发者通常需要跟踪数十个工具的更新,却缺乏统一的信息聚合渠道,只能被迫在社交媒体和官方博客间奔波。该产品通过邮件聚合的方式集中推送更新,简化了信息获取流程,特别强调去掉\"AI 摘要\"这类容易遗漏技术细节的解决方案,而是直接呈现原始更新——这体现了对开发者需求的深刻理解。目标用户清晰明确,即需要快速适应工具链变化的全栈开发者和技术主管。竞争力在于专注垂直领域和减少信息噪音的差异化定位。未来的挑战包括扩展工具覆盖面、改进邮件推送频率控制,以及在工具众多时如何优化用户体验。","primaryCategory":"developer-tools","categories":["developer-tools","social-community","productivity"],"normalizedTopics":["生产力与办公","社交、社区与内容","开发者工具"]},{"name":"Superdesign Prompt Library","tagline":"涵盖风格、动画、组件的设计提示词库","description":"最大的社区驱动设计提示词库,涵盖风格、动画、UI组件等。可私有化构建并与团队分享设计提示词,或公开贡献;兼容任何编码代理。","votesCount":236,"commentsCount":18,"createdAt":"2026-01-12T08:01:00Z","website":"https://www.producthunt.com/r/LK4D7WZTVYNC66?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/superdesign?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/8f014500-a05b-41f3-99da-686dbbf1a72f.jpeg?auto=format","topics":["Chrome 扩展","设计工具","开发者工具","网页设计"],"firstComment":"认为 agent 无法编程?那可能是因为提示词写得不够好!","thumbnail":"https://ph-files.imgix.net/97c812bb-c116-448a-9722-362002cd9f63.jpeg?auto=format","date":"2026-01-12","id":"2026-01-12-3-superdesign-prompt-library","taglineEn":"Design prompts for style, animation, components","descriptionEn":"Biggest community driven design prompt library, covering styles, animations, UI components, etc. You can build & share design prompts with your team privately or contribute publicly; It works with any coding agent","topicsEn":["Chrome Extensions","Design Tools","Developer Tools","Web Design"],"firstCommentEn":"Think agents can't code? Well not when you prompt them poorly!","review":"Superdesign Prompt Library 精准地切入了一个新兴且关键的痛点:如何高效地指导 AI 进行设计。随着 AI 设计工具的普及,提示词的质量直接决定了输出结果的好坏。该产品通过构建一个社区驱动的、结构化(风格、动画、组件)的提示词库,本质上是在为 AI 设计工作流创建\"标准件\"和\"最佳实践\"。其核心价值在于降低使用门槛、提升设计效率与一致性,并促进知识的沉淀与共享。目标用户包括 UI/UX 设计师、前端开发者以及任何希望利用 AI 辅助设计流程的团队。其\"私有+公开\"的协作模式颇具巧思,既满足了企业内部的知识管理需求,又通过社区贡献加速了生态的丰富。挑战在于如何维持提示词库的质量与时效性,以及如何应对不同 AI 工具和模型迭代带来的兼容性问题。","primaryCategory":"design-creative","categories":["design-creative","developer-tools","productivity"],"normalizedTopics":["Chrome 扩展","设计、图片与视频","开发者工具","Chrome Extensions","Web Design"]},{"name":"Drift","tagline":"具有光标缩放效果的专业屏幕录制桌面应用","description":"专业屏幕录制工具,提供电影级自动缩放效果、隐私优先设计、无需订阅。支持原始录制和效果录制两种模式,可下载使用。","votesCount":165,"commentsCount":10,"createdAt":"2026-01-12T08:01:00Z","website":"https://www.producthunt.com/r/SYB6QGIELUS7QR?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/drift-6?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/b8ec7d99-8228-4092-9f62-bb7190492874.jpeg?auto=format","topics":["设计工具","用户体验","开发者工具","GitHub"],"firstComment":"在 Twitter 上看到这些效果后,我想用类似的效果进行录屏,但发现现有的桌面应用都是付费版本,所以就自己做了一个。\n\n> 在没有大社交影响力的情况下推广一个产品确实很困难,更何况资金为零。我希望这个工具能有所帮助,但我真的期望得到大量反馈来改进 Drift,使其超越现有的同类产品!\n\n感谢所有对 Drift 的关注和支持!","thumbnail":"https://ph-files.imgix.net/182ac087-cfb2-4ce8-a3a1-aea4ff3ce6bf.jpeg?auto=format","date":"2026-01-12","id":"2026-01-12-4-drift","taglineEn":"Screen recorder desktop app with cursor zoom effect","descriptionEn":"Professional screen recording studio that you can download Cinematic auto-zoom, privacy-first, no subscriptions. and you can choose between raw and the effect recording","topicsEn":["Design Tools","User Experience","Developer Tools","GitHub"],"firstCommentEn":"I wanted to record with such effects after seeing them all over twitter but i found out the desktop app was a paid version so i made it myself .\n> its really hard to distribute something without any kind of large social presence specially when you got 0$ , i hope this helps , but i really want a lot of feedback to improve drift and make it better than existing stuff ! \nthank you for any kind appreciation / interaction with drift !","review":"Drift 抓住了内容创作者的核心痛点——如何轻松创建具有专业视觉效果的屏幕录制视频。电影级自动缩放效果在社交媒体上已成为热门趋势,但现有的专业工具往往价格昂贵或功能复杂。Drift 通过提供免费的桌面应用、隐私优先的设计和灵活的录制模式,为这一市场打开了新的可能性。特别值得称道的是,开发者以零成本的独立创新精神实现了这一产品,展现了真正的产品对用户需求的理解。主要目标用户包括内容创作者、教程制作者和演讲者。未来的发展方向可以考虑增强编辑功能、拓展导出格式,以及建立社区反馈机制,进一步完善用户体验。","primaryCategory":"developer-tools","categories":["developer-tools","design-creative"],"normalizedTopics":["设计、图片与视频","开发者工具","User Experience"]},{"name":" cubic 2.0","tagline":"AI 时代的代码审查","description":"在过去几个月里,我们完全重建了 cubic 的 AI 审查引擎。今天我们荣幸推出 cubic 2.0,这是目前最精准的 AI 代码审查工具。cubic 帮助团队在真实仓库中读取、信任并合并 AI 生成的代码。它针对准确性和低误报率进行了优化,并在 PR 评论的基础上扩展了 CLI、AI 文档和 PR 描述更新等功能。已被包括 Cal.com、n8n、Granola 和 Linux Foundation 在内的 100 多个组织使用。","votesCount":121,"commentsCount":6,"createdAt":"2026-01-12T08:01:00Z","website":"https://www.producthunt.com/r/DBMW6VGVRU5K2I?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/cubic?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/6948f958-fe5e-4cb6-87c5-03f44223fa5a.jpeg?auto=format","topics":["软件工程","开发者工具","人工智能"],"firstComment":"嘿,各位猎人,我是 cubic 的创始人 Paul。\n\n如果之前用过 AI 代码审查工具,很可能遇到过两种失败模式:\n1. 遗漏重要问题\n2. 评论太多,导致人们不再阅读\n\n我们构建 cubic 是因为代码审查现在成了瓶颈。AI 让生成代码变得容易,但并没有让我们轻松信任一个复杂仓库中的大型代码差异。\n\n过去几个月我们不断迭代引擎,改进幅度足够大,所以我们称之为 cubic 2.0。它速度更快、准确度更高、误报率明显更低。\n\n我们还学到了一点:\"GitHub 机器人评论 PR\" 已经不够了。审查是一个工作流,而不是一个功能,所以我们也构建了相关的配套工具:\n\n- 每次推送时的增量检查\n- 保持准确的 PR 描述\n- 始终同步的维基文档\n- 支持配置即代码的 cubic.yaml\n- 可在推送前在本地运行审查的 CLI\n\n如果试用,我很想听到直言不讳的反馈:\n\n- 它捕捉到了什么真正重要的问题吗?\n- 应该停止评论哪些内容?\n\n我会在评论区等大家!","thumbnail":"https://ph-files.imgix.net/a87b4a82-7d80-4808-b9f4-a615b8d20a3e.png?auto=format","date":"2026-01-12","id":"2026-01-12-7--cubic-2.0","taglineEn":"Code reviews for the AI era","descriptionEn":"Over the past few months, we've been completely rebuilding cubic's AI review engine. Today we're excited to announce cubic 2.0, the most accurate AI code reviewer available. cubic helps teams read, trust, and merge AI-generated code in real repos. It is optimized for accuracy and low noise, and it goes beyond PR comments with a CLI, AI docs, and PR description updates. Used by 100+ orgs including Cal.com, n8n, Granola, and Linux Foundation projects.","topicsEn":["Software Engineering","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Hunters, I'm Paul, the founder of cubic.\n\nIf you've tried AI code review tools before, you've probably seen both failure modes:\n1. they miss the important stuff\n2. they comment so much that you stop reading\n\nWe built cubic because review is now the bottleneck. AI made it easy to produce code. It did not make it easy to trust a big diff in a complex repo.\n\nOver the last few months we've been iterating hard on the engine, and the change is big enough that we're calling it cubic 2.0. It's faster, more accurate, and noticeably less noisy than it was a few months ago.\n\nThe other thing we learned is that \"a GitHub bot that comments on PRs\" is not enough anymore. Review is a workflow, not a feature, so we built the pieces around it too:\n\n- incremental checks on every push\n- PR descriptions that stay accurate\n- wiki docs that stay in sync\n- `cubic.yaml` for config-as-code\n- and a CLI so you can run review before you push\n\nIf you try it, I'd love blunt feedback:\n\n- What did it catch that you actually cared about?\n- What should it stop commenting on?\n\nI'll be here in the comments!","review":"cubic 2.0 针对 AI 时代代码审查的核心痛点——如何高效、准确地信任 AI 生成代码——提出了创新解决方案。传统代码审查工具在面对大量 AI 生成代码时往往陷入两个极端:要么遗漏关键问题,要么噪音过多导致审查人员疲劳。cubic 2.0 通过重建审查引擎,优化准确性和低误报率的平衡,显著提升了实用价值。其独特之处在于突破单一 PR 评论功能的局限,构建了完整的代码审查工作流生态,包括 CLI、文档同步、PR 描述自动更新等多维度支持。面向开发团队和开源项目,特别是大规模采用 AI 编程的组织,这是一个成熟度较高的解决方案。100+ 知名组织的使用验证了其可靠性,将成为 AI 编程时代的关键基础设施。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Repo Prompt","tagline":"自动组织完美的项目上下文","description":"Repo Prompt 帮助 AI 模型理解代码库,避免浪费 token 在无关代码上。Context Builder 分析项目结构,精选所需的文件和函数,构建高质量的上下文信息,完全适配模型的 token 限制。兼容现有的 AI 订阅服务(Claude MAX、ChatGPT Plus、Gemini),无需额外的 API 成本。MCP server 将 Repo Prompt 转换为 Claude Code、Cursor 和 Codex 的后端,为这些工具提供它们无法自主完成的上下文分析和发现能力。","votesCount":200,"commentsCount":11,"createdAt":"2026-01-09T08:01:00Z","website":"https://www.producthunt.com/r/U5Z4VJSSRFDCCA?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/repo-prompt?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/1beda631-9ab9-4c8e-9fc7-4e14a2607909.png?auto=format","topics":["开发者工具","人工智能"],"firstComment":"Repo Prompt 就像为特定仓库或项目创建更好提示词的超级骨架。\n\n它帮助生成精细化的提示词,当交给编码 agent 时,能更高效、更有针对性地完成任务。\n\n尽情享受吧!","thumbnail":"https://ph-files.imgix.net/c5b35929-bd30-4a18-ba99-e97b744c6e7e.png?auto=format","date":"2026-01-09","id":"2026-01-09-3-repo-prompt","taglineEn":"Automate assembling the perfect context for your project","descriptionEn":"Repo Prompt helps AI models understand your codebase without wasting tokens on irrelevant code. Context Builder analyzes your project and selects the files and functions needed for your task, building dense context that fits in model limits. It works with your existing AI subscriptions (Claude MAX, ChatGPT Plus, Gemini) — no extra API costs. The MCP server turns Repo Prompt into a backend for Claude Code, Cursor, and Codex, giving them context analysis and discovery they can't do on their own.","topicsEn":["Developer Tools","Artificial Intelligence"],"firstCommentEn":"Repo Prompt is like a superskeleton for creating better prompts within specific repos or projects. \n\nIt'll help you produce refined prompts so that when you hand off to your coding agent of choice, it'll get the done more efficiently and intentionally.\n\nEnjoy!","review":"Repo Prompt 解决了 AI 编码工具在处理大型代码库时面临的核心痛点——token 浪费和上下文不足。开发者在使用 Claude、ChatGPT 等模型进行代码分析时,往往需要手动筛选和组织代码片段,这既耗时又低效。该产品通过智能的 Context Builder 自动分析项目结构,精选最相关的文件和函数,最大化上下文信息密度。其创新之处在于与现有 AI 订阅服务无缝集成,避免了额外成本,同时通过 MCP server 为 Claude Code、Cursor 等工具提供原生的上下文能力增强。目标用户是频繁使用 AI 进行代码分析和生成的开发者。潜在优势包括提高编码效率、降低 token 消耗成本;挑战则在于如何准确识别真正相关的代码片段,以及跨不同项目结构的适配性。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Promptsy","tagline":"创建、保存和分享提示词","description":"Promptsy - 个人提示词库。保存、整理、版本管理和分享 AI 提示词。","votesCount":115,"commentsCount":2,"createdAt":"2026-01-09T08:01:00Z","website":"https://www.producthunt.com/r/U4ZEVZRBZE2ZZK?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/promptsy?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/d153bb53-ba83-431b-b08c-ad16d0da6330.png?auto=format","topics":["Chrome 扩展","生产力","开发者工具","人工智能"],"firstComment":"之前总是在笔记和与 ChatGPT 的历史对话中翻找效果最好的提示词,这非常麻烦。于是我为自己创建了一个系统来保存和管理提示词,后来想到也许其他人也会需要,就这样慢慢发展到了现在。","thumbnail":"https://ph-files.imgix.net/2c14e4b8-6381-4b78-990b-6d32f62f2b44.png?auto=format","date":"2026-01-09","id":"2026-01-09-6-promptsy","taglineEn":"Create, save, and share prompts","descriptionEn":"Promptsy - Your Personal Prompt Vault. Save, organize, version, and share AI prompts.","topicsEn":["Chrome Extensions","Productivity","Developer Tools","Artificial Intelligence"],"firstCommentEn":"I was tired of having to search through my notes and previous conversations with ChatGPT to find the prompts that worked for me the best. So I created a system just for me to save my own prompts, then I thought maybe others would want it to and it just grew from there.","review":"Promptsy 解决了 AI 时代提示词管理的痛点。随着 ChatGPT 等生成式 AI 工具的广泛应用,用户逐渐积累大量精心调试的提示词,却缺乏有效的管理工具。Promptsy 作为 Chrome 扩展,提供了一个轻量级的提示词库解决方案,支持保存、组织、版本控制和分享等核心功能。其创新在于将提示词管理从散落在各处的笔记和对话历史中解放出来,形成可复用的资产库。目标用户包括频繁使用 AI 工具的内容创作者、开发者和知识工作者。该产品具有易用性强、集成度高的优势,同时面临的挑战包括如何建立提示词社区、确保跨平台兼容性以及与其他笔记应用的协同。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","ai-agents"],"normalizedTopics":["Chrome 扩展","生产力与办公","开发者工具","AI 与智能体","Chrome Extensions"]},{"name":"Kuulto","tagline":"使用 /ai 组织文件、转换图像格式等","description":"一个现代化终端,融合了经典 CLI 的强大功能与直观的界面。使用 /ai 命令组织文件、转换图像格式、翻译文档等。内置 Git 集成和增强命令(如 ls 和 grep),提供更流畅的体验。","votesCount":108,"commentsCount":2,"createdAt":"2026-01-09T08:01:00Z","website":"https://www.producthunt.com/r/X5YCWDVIT4IULY?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/kuulto-the-terminal-reimagined?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/d083bc3a-084c-4d2a-87d6-1bf590723cba.webp?auto=format","topics":["生产力","开发者工具","GitHub"],"firstComment":"大家好,Product Hunt!👋\n\n我是 Kuulto 的创作者,很高兴能与各位分享这个全新的终端体验。\n\n作为一名开发者(同时也是摄影师),我几乎生活在终端里。但我一直感到有些不便。为什么查看 PDF 或检查图像时需要离开 CLI?为什么必须记住复杂的 ffmpeg 命令才能转换照片?\n\n这就是我开发 Kuulto Terminal 的原因。它融合了经典 CLI 的强大功能与现代 Swift 界面的直观性。\n\n以下是它如何改变工作流程的方式:\n\n🧠 AI 驱动:忘记记忆复杂的命令吧。只需输入 /ai convert these HEIF images to JPG,一切自动完成。(作为摄影师,这对我来说简直是救星!)\n\n👀 超越纯文本:标准命令如 ls 和 cat 被重新设计。直接在终端中查看 PDF、图像和富媒体内容。\n\n🔀 分屏焦点:在一侧运行服务器,在另一侧管理 Git。不再有 Alt-Tab 的烦恼。\n\n🎨 可视化 Git:图形化的 git 状态和 git diff 预览让代码审查真正变得愉快。此外,内置 AI 生成的提交信息功能。\n\n🔒 原生工具:需要录屏以记录 bug?输入 /record。需要加密文件夹?输入 /crypto。所有功能都内置其中。\n\n开箱即支持 zsh、bash 和 fish。\n\nKuulto 是我为了让终端不仅仅是一个工具,而是一个真正令人享受的工作空间所做的尝试。期待听到各位的想法和反馈!\n\n祝编码愉快!🚀","thumbnail":"https://ph-files.imgix.net/916fafb1-460b-4a58-b3f0-7713c71323ef.png?auto=format","date":"2026-01-09","id":"2026-01-09-7-kuulto","taglineEn":"Use /ai to organize files, convert image formats, and more","descriptionEn":"A modern terminal that bridges classic CLI power with an intuitive interface. Use /ai to organize files, convert image formats, translate documents, and more. Built-in Git integration and enhanced commands like ls and grep for a smoother experience.","topicsEn":["Productivity","Developer Tools","GitHub"],"firstCommentEn":"Hey Product Hunt! 👋\n\nI'm the maker behind Kuulto, and I'm excited to share a new kind of terminal experience with you.\n\nAs a developer (and a photographer), I live in the terminal. But I always felt disconnected. Why do I need to leave my CLI just to preview a PDF or check an image? Why do I have to memorize complex ffmpeg flags just to convert a photo?\n\nThat's why I built Kuulto Terminal. It bridges the raw power of the classic CLI with the intuition of a modern Swift interface.\n\nHere is how it transforms your workflow:\n\n🧠 AI-Powered: Forget memorizing flags. Just type /ai convert these HEIF images to JPG and it happens. (As a photographer, this is my personal lifesaver!)\n\n👀 Beyond Text: Standard commands like ls and cat are reinvented. View PDFs, images, and rich media directly within your terminal flow.\n\n🔀 Split Screen Focus: Run your server on one side, manage Git on the other. No more Alt-Tab chaos.\n\n🎨 Visual Git: graphical git status and git diff previews make code reviews actually enjoyable. Plus, AI-generated commit messages are built-in.\n\n🔒 Native Tools: Need to record your screen for a bug report? /record. Need to encrypt a folder? /crypto. It's all built-in.\n\nWe support zsh, bash, and fish out of the box.\n\nKuulto is my attempt to make the terminal not just a tool, but a workspace you actually enjoy using. I'm eager to hear your thoughts and feedback!\n\nHappy coding! 🚀","review":"Kuulto 抓住了开发者的核心痛点——对终端界面直观性的诉求。传统 CLI 虽然功能强大但学习曲线陡峭,用户往往需要记忆大量复杂命令。该产品通过 AI 辅助和可视化增强重新设计终端体验,实现了功能与易用性的平衡。特别是 /ai 命令功能和媒体预览能力,显著降低了非文本操作的门槛。内置 Git 图形化工具和分屏协作也响应了现代开发工作流需求。目标用户清晰,即寻求提升开发效率的工程师和技术工作者。潜在机遇在于跨平台支持和生态扩展,挑战则包括与 iTerm2 等成熟终端工具的竞争,以及 AI 命令理解的准确度维持。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","design-creative"],"normalizedTopics":["生产力与办公","开发者工具"]},{"name":"P402.io","tagline":"路由、验证并结算付费 API 调用,完全可追踪","description":"大多数 AI 应用浪费了 70% 的预算。错误的模型选择。没有缓存。支付手续费摧毁了微支付。P402.shop:比较 50+ 个 AI API(GPT-5.2、Claude Opus 4.5、Gemini 3 等)。找到适合用例的正确模型。看到成本从 100 用户扩展到 100 万用户时的爆炸式增长。免费使用。P402.io:接受微支付而不被 Stripe 的 $0.30 手续费拖累。1% 固定费率。构建在 x402(HTTP 的支付标准)之上,最终实现了正常工作。规模不优化的应用在扩展时会崩溃。优化的应用不会。","votesCount":99,"commentsCount":9,"createdAt":"2026-01-09T08:01:00Z","website":"https://www.producthunt.com/r/GWRLMR2BSLFQNN?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/p402-io?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/5ad9c45f-fdde-484a-9969-dff6cb579345.png?auto=format","topics":["API","支付","开发者工具"],"firstComment":"嘿 Product Hunt!👋\n\n我是 Zeshan。我构建 P402 是因为我一直看到同样的模式:\n\n**AI 应用在 50 个用户时运行良好。在 500 个用户时就崩溃了。**\n不是因为 AI 太贵。而是因为两件没人谈论的事情:\n\n**1. 模型选择错误**\n大多数开发者选择 GPT-5.2 或 Claude Opus,然后用它来处理所有任务。但对于 80% 的任务——摘要、分类、简单查询——成本仅 $5/M 的 Haiku 4.5 的效果与成本 $14-25/M 的模型一样好。\n这是隐藏在眼前的 70% 的浪费。\n\n**2. 微支付上的支付手续费**\n如果按每个 API 调用收费 $0.05,Stripe 要收 $0.30。每笔交易都亏钱。这就是为什么没人提供真正的按使用付费定价。\n\n**所以我构建了两个工具:**\n\n**P402.shop** = 准确看到花钱最多的地方\n- 比较 50+ 个 AI API(2026 年的所有模型:GPT-5.2、Opus 4.5、Gemini 3 等)\n- 观察成本从 100 用户增长到 100 万用户时的爆炸式增长\n- 发现隐藏的浪费\n\n**P402.io** = 真正适用于微支付的支付基础设施\n- 1% 固定费率(相比 Stripe 的 $0.30 最低手续费)\n- 构建在 x402 之上——HTTP 402「需要支付」自 1997 年以来一直被保留,现在我们终于让它正常工作\n- 用户支付一次,可使用一小时(每个请求都无需弹窗)\n\n当有人把用例输入 P402.shop 并观看成本在规模扩展时爆炸性增长时,「恍然大悟」的时刻就到了。那是优化从理论变为现实的时候。\n\n**我很想听到关于以下方面的反馈:**\n- 价值是否清楚?\n- 我们应该添加哪些模型/提供商?\n- 什么会阻止尝试这个?\n\nP402.shop 永久免费。P402.io 有宽松的免费套餐。\n\n解决 AI 成本危机。🚀\n\nZeshan","thumbnail":"https://ph-files.imgix.net/7e4fed45-ce15-44f1-a455-1d91654e757c.png?auto=format","date":"2026-01-09","id":"2026-01-09-8-p402.io","taglineEn":"Route, verify, and settle paid API calls with clear traces","descriptionEn":"Most AI apps waste 70% of their budget. Wrong models. No caching. Payment fees that destroy micropayments. P402.shop: Compare 50+ AI APIs (GPT-5.2, Claude Opus 4.5, Gemini 3, more). Find the right model for your use case. See costs explode from 100 to 1M users. Free. P402.io: Accept micropayments without Stripe's $0.30 killing you. 1% flat fee. Built on x402—HTTP's payment standard, finally working. Vibe-coded apps break at scale. Optimized ones don't.","topicsEn":["API","Payments","Developer Tools"],"firstCommentEn":"Hey Product Hunt! 👋\n\nI'm Zeshan. I built P402 because I kept seeing the same pattern:\n\n**AI apps work at 50 users. They break at 500.**\nNot because AI is too expensive. Because of two things nobody talks about:\n\n**1. Wrong model selection**\nMost developers pick GPT-5.2 or Claude Opus and use it for everything. But for 80% of tasks—summarization, classification, simple queries—Haiku 4.5 at $5/M works just as well as models costing $14-25/M.\nThat's 70% waste hiding in plain sight.\n\n**2. Payment fees on micropayments**\nIf you charge $0.05 per API call, Stripe takes $0.30. You lose money on every transaction. This is why nobody offers true pay-per-use pricing.\n\n**So I built two tools:**\n\n**P402.shop** = See exactly where you're overpaying\n- Compare 50+ AI APIs (all the 2026 models: GPT-5.2, Opus 4.5, Gemini 3, etc.)\n- Watch your costs explode from 100 to 1M users\n- Spot the hidden waste\n\n**P402.io** = Payment infrastructure that actually works for micropayments\n- 1% flat fee (vs Stripe's $0.30 minimum)\n- Built on x402—HTTP 402 \"Payment Required\" has been reserved since 1997, we finally made it work\n- Users pay once, use for an hour (no popup per request)\n\nThe \"aha moment\" is when someone enters their use case into P402.shop and watches their costs explode at scale. That's when optimization stops being theoretical.\n\n**What I'd love feedback on:**\n- Is the value clear?\n- What models/providers should we add?\n- What would stop you from trying this?\n\nP402.shop is free forever. P402.io has a generous free tier.\n\nLet's fix the AI cost crisis. 🚀\n\nZeshan","review":"P402.io 直击 AI 应用普遍面临的成本危机。当前大多数 AI 应用存在两大问题:模型选择不当导致严重浪费,以及传统支付基础设施对微支付的不友好。该产品通过 P402.shop 的模型比对工具和 P402.io 的微支付解决方案,为开发者提供了完整的成本优化闭环。核心创新在于基于 HTTP 402 标准的支付协议实现,突破了 Stripe 等主流支付商在小额交易上的费用瓶颈。目标用户是追求成本效益的 AI 应用开发者和初创公司。产品逻辑清晰、定位精准,但面临的挑战包括如何获得广泛的模型合作、用户采用成本,以及与现有支付系统的集成难度。","primaryCategory":"developer-tools","categories":["developer-tools","finance-business","ai-agents"],"normalizedTopics":["开发者工具","支付","Payments"]},{"name":"Spec Coding by Capacity","tagline":"氛围编码加规划助手,以清晰的方式构建应用","description":"大多数 AI 应用构建者直接开始开发。这看似快速,但最后应用会变得混乱、不一致,与最初想象的相差甚远。现在我们在 Capacity 中推出规范编码功能。Capacity 不再立即构建,而是先让 AI 联合创始人在生成代码前提出正确的问题,帮助定义应用。前期结构更清晰,后期重构大大减少,最终效果更好。","votesCount":244,"commentsCount":24,"createdAt":"2026-01-08T08:01:00Z","website":"https://www.producthunt.com/r/EROEMZ5QZVTEJQ?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/capacity?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/6c972395-434d-43dc-a60a-7f7a898d5868.png?auto=format","topics":["设计工具","原型设计","开发者工具"],"firstComment":"大家好 👋\n我是 Samuel,Capacity 的创建者。\n\n我们喜欢氛围编码——它很有趣且速度极快。\n但在用 AI 构建了很多真实应用后,我们一次次遇到同样的问题:\n\nAI 充满自信地构建,即使思路并不清晰。\n\n人类提出问题。\nAI 不会,它只是猜测。\n\n所以我们构建了规范编码。\n\n在写任何代码之前,AI 联合创始人帮助定义:\n\n- 在构建什么\n- 为谁构建\n- 什么重要\n- 什么不重要\n\n这会让起始阶段变慢一些……\n但后期能节省数小时。\n\n特别想听听反馈,尤其是如果有人曾为同一个 AI 应用重新构建过三次 😄\n\n很乐意回答任何问题!","thumbnail":"https://ph-files.imgix.net/7b2511d5-3b7e-421b-9791-1a74b6470ae9.x-icon?auto=format","date":"2026-01-08","id":"2026-01-08-2-spec-coding-by-capacity","taglineEn":"Vibe Coding with a planning assistant to build with clarity","descriptionEn":"Most AI app builders jump straight into building. That feels fast until your app gets messy, inconsistent, and nothing like what you imagined. Today, we're introducing Spec Coding in Capacity. Instead of building immediately, Capacity now lets you define your app first with the help of an AI co-founder that asks the right questions before any code is generated. More structure upfront. Far less refactoring later. Much better results.","topicsEn":["Design Tools","Prototyping","Developer Tools"],"firstCommentEn":"Hey Product Hunt 👋\nSamuel here, maker of Capacity.\n\nWe love vibe coding it's fun and incredibly fast.\nBut after building a lot of real apps with AI, we kept running into the same problem:\n\nAI builds confidently, even when the idea isn't clear.\n\nHumans ask questions.\nAI doesn't, it guesses.\n\nSo we built Spec Coding.\n\nBefore any code is written, an AI co-founder helps you define:\n\n-what you're building\n-who it's for\n-what matters\n-and what doesn't\n\nIt slows down the first minute…\nand saves hours later.\n\nWould love your feedback especially if you've ever rebuilt the same AI app three times 😄\n\nHappy to answer any questions!","review":"Capacity 的规范编码功能抓住了 AI 应用开发中的核心痛点。当前大多数 AI 编码工具强调速度,导致开发者快速构建后反复返工。规范编码通过前置规划阶段改变了这一模式,将 AI 从单纯的代码生成工具升级为交互式的架构设计助手。产品创新在于引入「提问机制」,让 AI 在编码前帮助澄清需求、目标用户和核心功能,从而减少后期重构成本。目标用户涵盖追求应用质量的独立开发者、初创企业和企业工程团队。相比纯速度导向的编码工具,该方案更强调结果质量和可维护性。潜在风险在于「慢启动」可能削弱用户的即时满足感,需要通过优化交互流程来平衡效率。","primaryCategory":"developer-tools","categories":["developer-tools","design-creative","ai-agents"],"normalizedTopics":["设计、图片与视频","原型设计","开发者工具","Prototyping"]},{"name":"Awesome Gemini Prompts","tagline":"Google Gemini 和 Nano 的终极开源提示词库","description":"首个专为 Google Gemini 打造的开源提示词库。寻找用于复杂任务的专业提示词曾是一大痛点——格式混乱,信息散落四处。因此我构建了这个解决方案。通过自定义 LLM 管道(Qwen + Gemini)自动抓取并清理了 1,800+ 个提示词,确保每日质量。完全免费、开源,使用体验极佳。","votesCount":122,"commentsCount":7,"createdAt":"2026-01-08T08:01:00Z","website":"https://www.producthunt.com/r/JUJZLS7CSIWLDO?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/awesome-gemini-prompts?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/3caacbd6-87a4-498f-b936-ef804a27d30e.png?auto=format","topics":["开源","开发者工具","人工智能","GitHub"],"firstComment":"大家好!\n\n我是 Awesome Gemini Prompts 的开发者。终于可以与大家分享这个项目了!\n\n项目背景:\n在使用 Gemini 处理专业任务时,通用提示词往往不够用。我知道存在更好的提示词,但不得不在社区论坛中花数小时搜索。即便找到了,格式也往往一团糟。\n\n同时,我想从他人优秀的提示词中学习以改进自己的提示词,但没有统一的地方可以深入研究。\n\n所以我构建了这个库!\n在开发过程中,我发现从 Reddit 抓取的内容混入了大量噪音(个人吐槽、错误模型),因此我建立了一个 LLM 清理管道来解决这个问题。\n\n总之,希望各位喜欢这个项目,并与我们分享使用体验!","thumbnail":"https://ph-files.imgix.net/20497940-dd01-4f53-8369-4bfaa1d031b8.png?auto=format","date":"2026-01-08","id":"2026-01-08-7-awesome-gemini-prompts","taglineEn":"The Ultimate Open Source Library for Gemini & Nano","descriptionEn":"The first dedicated open-source prompt library for Google Gemini. Finding professional prompts for complex tasks was a pain—formatting was messy and scattered everywhere. So I built this to fix it. We automatically scraped & cleaned 1,800+ prompts using a custom LLM pipeline (Qwen + Gemini) to ensure quality everyday. It's completely free, open-source, and so cool to use.","topicsEn":["Open Source","Developer Tools","Artificial Intelligence","GitHub"],"firstCommentEn":"Hiya Hunters!\n\nI'm the builder behind Awesome Gemini Prompts. This is awesome to finally share with you!\n\nThe Backstory:\nWhenever I needed to handle a professional task with Gemini, generic prompts just didn't cut it. I knew better prompts existed, but I had to dig through community forums for hours to find them. And even when I did, the formatting was a mess.\n\nI also wanted to learn from others' excellent prompts to improve my own, but there was no unified place to study them.\n\nSo I built one!\nDuring development, I realized scraping Reddit brought in a lot of noise (personal rants, wrong models), so I had to build a cleaning pipeline using LLMs.\n\nAll in all, wish you will like this and share your experience with us!","review":"Awesome Gemini Prompts 解决了开发者面临的核心痛点:专业提示词资源分散、格式不统一、质量参差不齐。作为首个针对 Google Gemini 的开源提示词库,该项目具有明显的时代价值。创始人通过自定义 LLM 管道实现了大规模提示词的自动化清理,将 1,800+ 条提示词进行了质量把控,这一技术实现本身就极具创意。产品针对的是开发者、数据科学家、AI 工程师等专业人群,他们在使用大语言模型时对高质量提示词的需求迫切。项目的开源特性鼓励社区参与,有利于长期生态建设。潜在机会在于如何构建评分体系吸引更多贡献者,同时需要注意维持库的质量标准以避免重蹈传统社区平台的覆辙。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","Open Source"]},{"name":"PingPrompt","tagline":"整理提示词、追踪变更、加速迭代","description":"许多人仍在聊天记录、文档和文本文件中管理重要提示词。PingPrompt 将一切集中管理,追踪每一次变更,帮助迭代而无需担心遗失已验证有效的内容。内置副驾驶辅助快速优化提示词,通过可视化差异对比版本,自信地测试改进。专为代理机构、创意工作者、无代码/低代码建设者和每天依赖提示词的营销人员而构建。","votesCount":106,"commentsCount":11,"createdAt":"2026-01-08T08:01:00Z","website":"https://www.producthunt.com/r/PYZKAWS6AQMHQP?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/pingprompt?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/d2e62961-d41e-4b92-9c1c-176404ce6fc5.png?auto=format","topics":["生产力","开发者工具","人工智能"],"firstComment":"大家好,Hunters 👋\n\n我是 Gabriel,PingPrompt 的创始人。\n\nPingPrompt 诞生于我的亲身经历——提示词变成了工作中的核心要素,但管理方式完全跟不上。\n\n它们散落在 ChatGPT 聊天记录、Notion 文档、Slack 消息和文本文件里。小改动频繁发生,但没有清晰的历史记录,没有安全的方式测试改进,也无法确信什么真正有效。当需要改进某个提示词时,我会让 AI 调整它。但 AI 经常会重写整个提示词、产生幻觉,或改变逻辑,即使我只需要小小改动。\n\n既然我已经在开发中使用 agent IDE,我尝试将这种工作流应用到提示词上。我建立了 GitHub 仓库,使用副驾驶进行编辑,依靠差异对比追踪变更。但这对提示词工作来说太复杂了——提示词调整频繁,对非开发人员来说摩擦力太大。\n\n我也看过其他专门的提示词工具,但大多只关注存储、生成或可观测性。没有一个支持完整的提示词生命周期:编辑、版本管理、测试和长期维护。\n\n所以我构建了 PingPrompt,作为我需要的工作区。\n\n它结合了快速的文本级编辑、完整的版本历史和可视化差异对比、内联副驾驶精确编辑,以及多 LLM 游乐场,全部集中在一个地方。\n\n可以追踪每一次变更,并排比较版本,连接自己的 API 密钥,同时测试提示词版本、参数和不同 AI 模型,而无需破坏已经有效的内容。\n\n这是 PingPrompt 的第一个版本。还有很多地方需要演进,我正在积极改进应用并发布新功能,如团队协作和直接集成到真实生产工作流和应用的 API。\n\n我相信这个工具能帮助人们以更可靠、更自信的方式处理提示词。\n\n欢迎提问和反馈。","thumbnail":"https://ph-files.imgix.net/8ce86e13-97ec-4374-b602-fe0f7493524a.png?auto=format","date":"2026-01-08","id":"2026-01-08-9-pingprompt","taglineEn":"Organize prompts, track changes, and iterate faster.","descriptionEn":"Most people still manage important prompts in chat history, docs, and text files. PingPrompt keeps everything in one place, tracks every change, and helps you iterate without losing what already works. Refine prompts faster with a built-in copilot, compare versions with visual diffs, and test improvements with confidence. Built for agencies, creators, no-code/low-code builders, and marketers who depend on prompts every day.","topicsEn":["Productivity","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey, Hunters 👋\n\nI'm Gabriel, the founder of PingPrompt.\n\nPingPrompt exists because prompts became critical to my work, but the way I was managing them didn't scale.\n\nThey were scattered across ChatGPT history, Notion docs, Slack messages, and text files. Small changes happened constantly, but there was no clear history, no safe way to test improvements, and no real confidence in what was actually working. When I needed to improve something, I'd ask an AI to adjust the prompt. It would often rewrite the entire prompt, hallucinate, or alter the logic, even when I only needed a small tweak.\n\nSince I was already using agentic IDEs for development, I tried to bring that workflow to prompts. I set up GitHub repos, used copilots for edits, and relied on diffs to track changes. But they were too complex for working with prompts, where adjustments are frequent, and the friction was too high for non-developers.\n\nI then looked for dedicated prompt tools, but most focused on just storage, generation, or observability. None of them supported the full prompt lifecycle: editing, versioning, testing, and long-term maintenance.\n\nSo I built PingPrompt as the workspace I needed.\n\nIt combines fast, text-level editing, full version history with visual diffs, an inline copilot for precise edits, and a multi-LLM playground, all in one place. \n\nYou can track every change, compare versions side by side, connect your own API Keys and test prompt versions, parameters, and different AI models simultaneously, without breaking what already works.\n\nThis is the first version of PingPrompt. There's still a lot to evolve, and I'm actively working on improving the app and releasing new features like team collaboration and APIs that integrate directly into real production workflows and applications.\n\nI'm confident this tool helps people work with prompts in a more reliable and confident way.\n\nHappy to answer questions and hear feedback.","review":"PingPrompt 解决的是 AI 时代一个真实而普遍的痛点——提示词管理的混乱。随着提示工程成为工作流的核心,现有工具的碎片化问题日益突出。PingPrompt 的创新在于将版本控制、协作编辑和测试验证集成为一个完整的生命周期管理平台。其核心竞争力包括可视化差异对比、内联 copilot 辅助优化,以及多模型并行测试能力,这些功能特别适合需要频繁调整和精细化优化的使用场景。目标用户覆盖代理机构、营销人员、产品经理等提示词重度使用者。相比简单的存储或生成工具,PingPrompt 的全生命周期管理理念更符合实际工作需求。面临的挑战在于竞争加剧和用户教育成本,但其创始人的深度实践背景和持续迭代承诺表明产品有良好的发展潜力。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","ai-agents"],"normalizedTopics":["生产力与办公","开发者工具","AI 与智能体"]},{"name":"Planelo","tagline":"开发者专属的想法中心","description":"Planelo 是为开发者设计的想法优先工作空间。在 iPhone、iPad 和 macOS 上捕捉、组织和连接想法——无需传统项目管理工具的复杂性。每个想法和项目都公开 API 端点,支持自动化和自定义工作流程。本次发布带来清爽的界面、键盘友好的导航、加密同步和 API 密钥,将想法转化为行动。","votesCount":118,"commentsCount":9,"createdAt":"2026-01-07T08:01:00Z","website":"https://www.producthunt.com/r/5ZHWTS7LKRLLDS?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/planelo?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/94e149a3-26c6-4d87-a0d7-f28f4ad1a17e.png?auto=format","topics":["生产力","笔记","开发者工具"],"firstComment":"大家好!👋\n\n我构建 Planelo 是因为一直没有找到一个简洁、轻量的地方来组织开发者的想法——而不会变成庞大的项目管理工具。我想要一个快速、表面上简单、但内在灵活的解决方案。\n\nAPI 层来自我自己对连接笔记与自动化、agent 和脚本的需求。想法不应该静止不动——它们应该触发行动。\n\n我很想听听大家如何组织项目,以及接下来希望看到什么功能!","thumbnail":"https://ph-files.imgix.net/12fe2eae-607b-43ac-b155-3881c04cc910.jpeg?auto=format","date":"2026-01-07","id":"2026-01-07-5-planelo","taglineEn":"The idea-first hub for developers","descriptionEn":"Planelo is an idea-first workspace for developers. Capture, structure and connect ideas across iPhone, iPad and macOS — without the clutter of traditional project tools. Each idea and project exposes an API endpoint, enabling automations and custom workflows. This launch brings a clean interface, keyboard-friendly navigation, encrypted sync, and API keys to turn ideas into actions.","topicsEn":["Productivity","Notes","Developer Tools"],"firstCommentEn":"Hey everyone! 👋\nI built Planelo because I never found a clean, lightweight place to organize ideas as a developer — without turning into a giant project manager. I wanted something fast, simple on the surface, but flexible underneath.\n\nThe API layer came from my own need to connect notes with automations, agents and scripts. Ideas shouldn't stay static — they should trigger actions.\n\nI'd love to hear how you structure your projects and what features you'd want next!","review":"Planelo 抓住了开发者面临的核心痛点:如何在保持思维灵活性的同时,快速记录和组织想法。相比笨重的项目管理工具,Planelo 强调\"想法优先\"的哲学,提供轻量级、跨平台的工作空间。其核心竞争力在于 API 层设计,将每个想法转化为可自动化的触发点,这对需要频繁集成工具链的开发者特别有吸引力。产品在界面设计上追求简洁,键盘导航友好,这符合开发者的使用习惯。目标用户明确为需要快速捕捉灵感且希望与自动化工具集成的开发者社群。潜在挑战包括如何在简洁性和功能丰富度间找到平衡,以及如何与其他笔记应用竞争。","primaryCategory":"productivity","categories":["productivity","developer-tools"],"normalizedTopics":["生产力与办公","笔记","开发者工具"]},{"name":"NotifyGate","tagline":"统一管理所有通知的中枢网关","description":"无需修改代码即可控制通知。将告警路由到 Slack、Discord、Email 等多个渠道。通过 Web 界面静音噪杂告警、限流冗余服务、提升关键问题优先级——所有操作一目了然。内置重试机制、实时仪表板和 AI agent 集成。","votesCount":103,"commentsCount":2,"createdAt":"2026-01-07T08:01:00Z","website":"https://www.producthunt.com/r/DD2KQLMHC2PCHT?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/notifygate?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/e032985c-0f51-4b3d-ab85-9e47a1421697.png?auto=format","topics":["API","开发者工具"],"firstComment":"嘿,Product Hunt 的各位!👋 我构建 NotifyGate 的原因很简单,我厌倦了:\n\n- 在故障期间被同一个告警轰炸 100 次\n- 为了改变通知路由而不得不部署代码\n- 完全看不到通知实际是否被送出去\n\nNotifyGate 坐在服务和通知渠道之间。将事件发送到一个 API,然后从仪表板控制所有其他部分——路由、限流、静音、升级等等。最棒的部分是什么?无需接触代码就能立即改变任何配置。进行维护窗口?切换一个静音规则。新团队成员需要接收告警?添加一条路由规则。某个服务太吵?限流它。期待得到大家的反馈!各位在处理通知时面临的痛点是什么?","thumbnail":"https://ph-files.imgix.net/5d8553a9-dd7a-4711-a733-1f56ba88a945.png?auto=format","date":"2026-01-07","id":"2026-01-07-8-notifygate","taglineEn":"One Gate for all your Notifications","descriptionEn":"Control your notifications without code changes. Route to Slack, Discord, Email & more. Mute noisy alerts, throttle chatty services, and escalate critical issues—all from a web UI. Built-in retries, real-time dashboards & AI agent integration.","topicsEn":["API","Developer Tools"],"firstCommentEn":"Hey Product Hunt! 👋 I built NotifyGate because I was tired of:\n\n- Getting flooded by the same alert 100 times during an outage\n- Deploying code just to change where notifications go\n- Having zero visibility into what notifications are actually being delivered\n\nNotifyGate sits between your services and notification channels. You send events to one API, then control everything else from the dashboard—routing, throttling, muting, escalation, and more. The best part? You can change any of this instantly without touching your code. During a maintenance window? Toggle a mute rule. New team member needs alerts? Add a routing rule. Noisy service? Throttle it. I'd love your feedback! What notification pain points do you deal with?","review":"NotifyGate 针对开发和运维团队面临的通知管理混乱问题提供了优雅的解决方案。在微服务和复杂系统架构下,告警风暴已成为普遍痛点——重复告警、缺乏优先级区分、修改告警规则需要部署新代码。NotifyGate 的核心创新在于通过统一的 API 网关和直观的 Web UI 将通知管理从代码层次解耦到配置层次,实现即时调整。产品设计充分理解开发者痛点:无需重新部署即可改变路由、支持动态限流和静音防止告警风暴、内置重试保证可靠性。目标用户明确为处理大量告警的中大型研发团队和 SRE 团队。潜在优势包括降低告警疲劳、加快故障响应速度。面临的挑战在于需要与各类监控和告警系统深度集成,以及如何在企业级应用中保证高可用性。","primaryCategory":"developer-tools","categories":["developer-tools","finance-business","ai-agents"],"normalizedTopics":["开发者工具"]},{"name":"Forge CLI","tagline":"群体智能 agent 为任何 HF/PyTorch 模型优化 CUDA/Triton","description":"Forge 从任何 PyTorch 或 HuggingFace 模型生成优化的 GPU 内核。32 个并行的 Coder+Judge agent 竞争以找到最快的 CUDA/Triton 实现。速度比 torch.compile(mode='max-autotune') 快高达 5 倍,正确率达 97.6%。只需输入 HuggingFace 模型 ID,即可获得每一层的优化内核。由优化的 NVIDIA Nemotron 3 Nano 30B(250k tokens/sec)驱动。\"如果性能未超越 torch.compile,全额退款\"。","votesCount":126,"commentsCount":2,"createdAt":"2026-01-06T08:01:00Z","website":"https://www.producthunt.com/r/EW7W5E2UDGVHPK?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/rightnow-ai?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/de9c60f6-5670-41f3-ae32-8ed5af3fec27.png?auto=format","topics":["硬件","开发者工具","人工智能"],"firstComment":"2025 年是 AI agent 的时代。2026 年将是群体 agent 的时代。\nForge 就是我们的开始\n\n32 个 agent 并行竞争来优化 GPU 内核。输入 HuggingFace 模型 ID,获得每一层的优化 CUDA/Triton。\"如果性能未超越 torch.compile,全额退款\"\n\n期待收到反馈 :D","thumbnail":"https://ph-files.imgix.net/90013ead-3866-4bc9-8543-d2e0f76519da.jpeg?auto=format","date":"2026-01-06","id":"2026-01-06-7-forge-cli","taglineEn":"Swarm agents optimize CUDA/Triton for any HF/PyTorch model","descriptionEn":"Forge generates optimized GPU kernels from any PyTorch or HuggingFace model. 32 parallel Coder+Judge agents compete to find the fastest CUDA/Triton implementation. Up to 5× faster than torch.compile(mode='max-autotune') with 97.6% correctness. Enter HuggingFace model ID, get optimized kernels for every layer. Powered by optimized NVIDIA Nemotron 3 Nano 30B at 250k tokens/sec. \"Full refund if we don't beat torch.compile\"","topicsEn":["Hardware","Developer Tools","Artificial Intelligence"],"firstCommentEn":"2025 was the year of AI agents. 2026 will be the year of swarm agents. \nForge is how we're starting it\n\n32 agents competing in parallel to optimize your GPU kernels. Enter a HuggingFace model ID, get optimized CUDA/Triton for every layer. \"Full refund if we don't beat torch.compile\"\n\nWould love your feedback:D","review":"Forge CLI 切中了 GPU 计算优化这一关键痛点。在大模型推理成本日益高企的时代,如何让模型运行更快成为刚需。传统的编译优化依赖专家经验和手工调优,效率低下。Forge 创新性地引入群体 agent 竞争机制,通过并行搜索空间实现自动化内核优化,相比业界标准工具性能提升 5 倍。其\"全额退款承诺\"展现了产品的自信。目标用户为追求极致推理性能的 AI 工程师、模型部署团队和 GPU 资源优化者。潜在挑战包括支持的模型覆盖度、不同硬件平台的兼容性,以及在复杂模型架构上的稳定性。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","hardware-platforms"],"normalizedTopics":["硬件、移动与平台","开发者工具","AI 与智能体"]},{"name":"MiroMiro","tagline":"一键复制任何网站的设计与资源","description":"最快的网站设计复制工具。MiroMiro 是一款 Chrome 扩展程序,让你无需打开开发者工具就能检查和提取任何网站的设计资源。悬停任何元素即可快速复制其 CSS、颜色、字体和间距。一键下载图片、SVG 和 Lottie 动画。提取设计令牌并导出为 Tailwind 配置或 CSS 变量。为希望停止从头重建、更快交付的设计师和开发者而生。","votesCount":318,"commentsCount":23,"createdAt":"2026-01-05T08:01:00Z","website":"https://www.producthunt.com/r/S45WVDTK7ZAU2F?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/miromiro?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/fc6be402-e794-45ec-b302-37029cd26357.png?auto=format","topics":["设计工具","生产力","开发者工具"],"firstComment":"大家好!👋 我之所以构建 MiroMiro,是因为我厌倦了同样令人沮丧的工作流:看到喜欢的设计,打开开发者工具,深入嵌套元素,逐个复制数值,重复 100 次。\n\n开发者工具很强大,但它并非为快速设计提取而设计。所以我创建了 MiroMiro,悬停任何元素即可立即复制其 CSS。一键下载图片、SVG 或 Lottie 动画。提取整个网站的色板并直接导出到 Tailwind 或 CSS 变量。\n\n这是我开始构建网站时希望存在的工具。很想听听关于以下方面的反馈:\n\n- 哪些功能会让使用这个工具成为日常习惯?\n- 缺少什么功能会让这成为工作流中的必备工具?","thumbnail":"https://ph-files.imgix.net/c80da3a1-3333-44ac-8d89-0ec2aea7ed00.png?auto=format","date":"2026-01-05","id":"2026-01-05-1-miromiro","taglineEn":"Copy any website's design & assets in one click","descriptionEn":"The fastest way to copy any website's design. MiroMiro is a Chrome extension that lets you inspect and extract design assets from any website without opening DevTools. Hover over any element to instantly copy its CSS, colors, fonts, and spacing. Download images, SVGs, and even Lottie animations with one click. Extract design tokens and export them as Tailwind config or CSS variables. Built for designers and developers who want to stop rebuilding from scratch and start shipping faster.","topicsEn":["Design Tools","Productivity","Developer Tools"],"firstCommentEn":"Hey everyone! 👋 I built MiroMiro because I was tired of the same frustrating workflow: see a design I like, open DevTools, dig through nested elements, copy values one by one, repeat 100 times. \n\nDevTools is powerful, but it's not built for quick design extraction. So I made MiroMiro, hover over any element, copy its CSS instantly. One click to download images, SVGs, or even Lottie animations. Extract an entire site's color palette and export it straight to Tailwind or CSS variables. \n\nIt's the tool I wished existed when I started building websites. Would love your feedback on:\n\n- Which features would make you use this daily?\n- What's missing that would make this a no-brainer for your workflow?","review":"MiroMiro 解决了设计师和开发者长期面临的高频痛点——重复性的设计资源提取工作。传统工作流需要开启开发者工具、逐个查看元素属性,效率低下。该产品通过 Chrome 扩展的便捷交互,实现了一键复制 CSS、颜色、字体等设计元素的功能,大幅降低了学习曲线和操作时间。特别是对标设计令牌导出为 Tailwind 配置的能力,体现了对现代前端工作流的深刻理解。产品目标用户清晰——需要频繁参考他人设计的开发者和设计师。其核心竞争力在于极速交互和一站式资源提取。潜在增长空间包括跨浏览器支持和设计系统协作功能的拓展。","primaryCategory":"developer-tools","categories":["developer-tools","design-creative","productivity"],"normalizedTopics":["设计、图片与视频","生产力与办公","开发者工具"]},{"name":"AppStoreReady","tagline":"自信地启动应用","description":"AppStoreReady 帮助独立开发者在数分钟内准备好应用上架,而非数周。无需在多个工具间反复切换处理截图尺寸、ASO 关键词、法律文件和上架清单,AppStoreReady 将一切整合到一个高效流程中——包括截图、设备样机、ASO 关键词、隐私政策和条款以及上架清单——所有内容均已生成并可直接提交。由独立开发者为独立开发者打造。","votesCount":16,"commentsCount":3,"createdAt":"2026-01-04T08:01:00Z","website":"https://www.producthunt.com/r/I4MWNDSKMLFAEU?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/appstoreready?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/7acee818-512a-4530-a107-cc311f1a8452.jpeg?auto=format","topics":["iOS","生产力","开发者工具"],"firstComment":"大家好 👋\n\n我在构建 AppStoreReady 之前,每次发布应用时都要重复相同的上架准备工作——调整截图尺寸、创建设备样机、编写描述、研究 ASO 关键词,还要在提交前匆忙收集法律文件。\n\n找不到一款简洁、全面的工具能一站式处理所有这些任务,于是我为自己构建了一个——后来决定开放给其他独立开发者使用。\n\n这个产品还处于早期阶段,持续演进中,我真诚地欢迎反馈:\n现在应用上架准备工作中,最令感到困扰的部分是什么?\n\n欢迎提出任何问题 👇","thumbnail":"https://ph-files.imgix.net/6ec60a16-44d4-4c18-8c27-92b645fc19fd.png?auto=format","date":"2026-01-04","id":"2026-01-04-8-appstoreready","taglineEn":"Launch Your App With Confidence.","descriptionEn":"AppStoreReady helps indie devs prepare their apps for App Store launch in minutes, not weeks. Instead of juggling screenshot sizes, ASO keywords, legal docs, and launch checklists across multiple tools, AppStoreReady bundles everything into one focused workflow - screenshots, device mockups, ASO keywords, privacy policy & terms, and a launch checklist - all generated and ready to ship. Built by an indie dev, for indie devs.","topicsEn":["iOS","Productivity","Developer Tools"],"firstCommentEn":"Hey Product Hunt 👋\n\nI built AppStoreReady after spending way too much time repeating the same App Store prep tasks for every app I shipped - resizing screenshots, creating device mockups, writing descriptions, figuring out ASO keywords, and scrambling for legal docs right before submission.\n\nI couldn't find a simple, opinionated tool that handled all of this in one place, so I built one for myself - and then opened it up for other indie devs.\n\nThis is still early and evolving, so I'd genuinely love feedback:\nWhat part of App Store prep do you find most painful right now?\n\nHappy to answer any questions 👇","review":"AppStoreReady 直指独立开发者的核心痛点——应用上架前繁杂的准备工作。开发者需要在截图设计、关键词优化、法律文件等多个环节之间频繁切换,这不仅耗时费力,还容易遗漏细节。该产品通过集成工作流,将分散的任务统一管理,显著提升上架效率。其强项在于理解开发者真实需求,提供了一站式解决方案,避免了多工具拼凑的复杂性。对标用户包括时间紧张的独立开发者、小型工作室等。随着 iOS 应用竞争加剧,优化上架页面和元数据变得越来越重要,该产品抓住了这一市场机会。主要挑战在于如何保证生成内容质量,以及如何扩展到其他应用商店,进一步提升产品价值。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","hardware-platforms"],"normalizedTopics":["硬件、移动与平台","生产力与办公","开发者工具"]},{"name":"Flux","tagline":"在 iMessage 中构建个性化 AI agent","description":"AI 并非缺乏智能,而是缺乏合适的交互方式。Flux 是首个在 iMessage 和 WhatsApp 等消息平台中构建个性化对话 agent 的平台。通过在用户已有的交流场景中部署 agent,Flux 让 AI 不再像是冷冰冰的软件,而更像是值得信赖的朋友、导师或助手。AI 的未来不是又一款应用,而是能在情感层面与人交互的 agent。","votesCount":272,"commentsCount":17,"createdAt":"2026-01-03T08:01:00Z","website":"https://www.producthunt.com/r/7J7A5EAKRN34PA?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/flux-14?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/8a85718c-73aa-4499-a192-b525349670f0.png?auto=format","topics":["消息应用","用户体验","开发者工具"],"firstComment":"大家好——我是 Daniel,Flux 的创始人之一。\n\n我们创办 Flux 源于一个事后看来显而易见的认知:AI agent 的智能程度已经足够了。真正的瓶颈在于人们如何与它们互动。\n\n大多数 agent 被困在应用和仪表板后面,感觉不够自然。我们想看看如果 agent 存在于真实对话已经发生的地方——iMessage、WhatsApp、群聊——会怎样,而且用与我们一样混乱、人性化的语言交流。\n\nFlux 就是我们的尝试。\n不是又一款应用,而是一种构建 agent 的方式,让它能真正感受到像朋友、导师或值得信赖的人。\n\n很期待听听什么让大家感兴趣(或不感兴趣)。我们还处于非常早期阶段,学习速度很快。","thumbnail":"https://ph-files.imgix.net/086436f2-544a-4782-bd5f-27b952b7a3b3.png?auto=format","date":"2026-01-03","id":"2026-01-03-0-flux","taglineEn":"Build your own agents in iMessage","descriptionEn":"AI doesn't have an intelligence problem - it has an interface problem. Flux is the first platform for building personalized conversational agents that live inside messaging platforms like iMessage and WhatsApp. By meeting users where they already communicate, Flux enables agents to feel less like software and more like people - trusted friends, tutors, or assistants. The future of AI isn't another app. It's agents that interact with humans on an emotional level.","topicsEn":["Messaging","User Experience","Developer Tools"],"firstCommentEn":"Hey everyone - Daniel here, one of the founders.\n\nWe started Flux after realizing something kind of obvious in hindsight: AI agents are already smart enough. The real bottleneck is how people actually interact with them.\n\nMost agents live behind apps and dashboards that don't feel natural. We wanted to see what happens when agents live where real conversations already happen - iMessage, WhatsApp, group chats - and speak the same messy, human language we do.\n\nFlux is our attempt at that.\nNot another app, but a way to build agents that can actually feel like a friend, tutor, or someone you trust.\n\nWould love to hear what resonates (or doesn't). We're very early and learning fast.","review":"Flux 抓住了当代 AI 产品设计的核心痛点——智能本身不缺,缺的是自然的交互方式。将 agent 从独立应用转移到 iMessage、WhatsApp 等既有的消息平台,是一次聪明的产品决策。这样做的好处在于降低用户的学习成本和认知负担,agent 可以像真实的人一样融入日常对话。从创新角度看,Flux 改变了人们对 AI 交互界面的认知——不再是专门的 app,而是无缝嵌入日常沟通工具。目标用户涵盖希望集成智能助手的个人用户和开发者。面临的挑战包括如何在消息应用的限制下提供完整体验、确保隐私安全,以及如何在多个平台保持一致的用户体验。这个产品有潜力重新定义 AI 应用的交互范式。","primaryCategory":"developer-tools","categories":["developer-tools","design-creative","ai-agents"],"normalizedTopics":["消息应用","设计、图片与视频","开发者工具","Messaging","User Experience"]},{"name":"Ultracite v7","tagline":"主观设计、零配置的代码检查器和格式化工具","description":"Ultracite 帮助开发者和 AI 模型编写一致且类型安全的代码,无需繁琐的配置。获得 Vercel、Clerk 和 ElevenLabs 等顶级公司的信任。立即开始使用。npx ultracite@latest init","votesCount":200,"commentsCount":1,"createdAt":"2026-01-03T08:01:00Z","website":"https://www.producthunt.com/r/DDDZU2JWTCZKZN?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/ultracite?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/563ce784-a3ba-461d-a0b4-0ac54e71e2a2.png?auto=format","topics":["开源","软件工程","开发者工具","GitHub"],"firstComment":"Ultracite 是一个主观设计的检查器和格式化工具,可以在零配置的情况下编写一致且类型安全的代码。创意人 @haydenbleasel 刚刚发布了有史以来最大的更新:更多的检查器、更多的 agent、更多的编辑器支持,全新的网站和云平台。\n\n作为生产级工具,Ultracite 已获得 @Vercel、@Clerk 和 @ElevenLabs 等公司的信任。完全免费和开源(GitHub 2.5k Stars)。\n\n期待听到各位的想法!","thumbnail":"https://ph-files.imgix.net/0c60084f-0e2a-4242-897f-1af5b6535b0b.png?auto=format","date":"2026-01-03","id":"2026-01-03-2-ultracite-v7","taglineEn":"Opinionated, zero-config code linter and formatter","descriptionEn":"Ultracite is designed to help you and your AI models write consistent and type-safe code without the hassle of configuration. Trusted by top companies like Vercel, Clerk, and ElevenLabs. Get started in seconds. npx ultracite@latest init","topicsEn":["Open Source","Software Engineering","Developer Tools","GitHub"],"firstCommentEn":"@Ultracite is an opinionated linter and formatter to write consistent, type-safe code with zero config, and maker @haydenbleasel just shipped the biggest update ever: more linters, more agents, more editors. a new website. a cloud platform.\n\nProduction-grade, @Ultracite is trusted by companies like @Vercel, @Clerk, and @ElevenLabs. free, and open-source (2.5k GitHub stars).\n\ncurious to know what you think!","review":"Ultracite v7 解决了开发者在代码质量管理中的核心痛点——配置复杂性。传统的代码检查器和格式化工具往往需要大量配置文件,增加项目初期的学习成本。Ultracite 采用\"主观设计\"理念,预置行业最佳实践,使开发者开箱即用。其对 AI 模型代码生成的支持尤为创新,着眼于 AI 时代的开发新需求。产品获得 Vercel、Clerk 等顶级公司认可,说明其可靠性。作为开源项目(2.5k Stars),具有良好的社区生态基础。潜在挑战在于\"主观\"设计能否满足多样化需求,以及与现有工具链的集成深度。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","Open Source"]},{"name":"Blober.io","tagline":"在云存储提供商之间传输文件的最简便方式","description":"跨不同存储提供商管理 blob、文件和文件夹。Blober 是一个本地优先的工作流引擎,将\"数据坟墓\"转变为井然有序的档案库。","votesCount":93,"commentsCount":9,"createdAt":"2026-01-02T08:01:00Z","website":"https://www.producthunt.com/r/HSTM2ZJH5QDSLQ?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/blober-io?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/f9887967-537c-4507-ad79-8d72dc200f70.png?auto=format","topics":["存储","移动与存储","开发者工具"],"firstComment":"几个月来,我一直在用自定义 Python 脚本管理每月 1TB 的媒体资产传输流程。它能用,但很脆弱:没有历史记录、过滤器复杂,完全看不到实际发生了什么。\n\n在刚过去的圣诞假期,我决定用「直觉编码」的方式修复它。结果就是 Blober.io,https://blober.io/\n\n为什么选择 Blober\n简洁的界面,专业级的云到云传输。\n无订阅。无转账费用。Blober 在本地运行。\n\n终身许可证。终身更新。\n\n快速可靠。在所有文件传输完成之前永不中断。\n\n安全性强。所有账户配置保存在本地。\n\n支持 macOS、Windows 和 Linux。\n\n云提供商连接简便。\n\n安全的操作方式,破坏性操作(删除)需显式确认。\n\n使用模板预测输出路径(时间戳、文件名、扩展名、大小等)。","thumbnail":"https://ph-files.imgix.net/1f2f9fc4-9d0e-4a03-93bb-3bc9e30766bd.png?auto=format","date":"2026-01-02","id":"2026-01-02-5-blober.io","taglineEn":"The easiest way to transfer files between cloud providers.","descriptionEn":"Manage blobs, files and folders across different storage providers. Blober a local-first workflow engine designed to turn \"data graveyards\" into organized archives.","topicsEn":["Storage","Moving & Storage","Developer Tools"],"firstCommentEn":"For months, I've been managing a 1TB/month pipeline of media assets using a custom python script. It worked, but it was fragile: no history, complex filters, and zero visibility into what was actually happening.\n‎\n‎During this past Christmas holiday, I decided to fix it using a \"Vibe Coding\" approach. The result is Blober.io, https://blober.io/\n\nWhy Blober\nA simple UI for serious cloud-to-cloud transfers.\nNo subscription. No transfer fees. Blober runs locally on your machine.\n\nLifetime license. Lifetime updates.\n\nIt's fast and reliable. Until all the files are transferred, it never stops.\n\nSecure. All account configurations stay on your machine.\n\nAvailable on macOS, Windows, and Linux.\n\nEasy cloud provider connection.\n\nSafe operations with explicit confirmation for destructive actions (delete).\n\nPredictable output paths using templates (timestamps, filename, extension, size, etc.).","review":"Blober.io 针对多云环境下文件管理的痛点提供了轻量级解决方案。当前企业和个人用户经常需要在不同云存储服务间迁移数据,但市场上的解决方案要么收费高昂、要么功能复杂。Blober 采用本地优先的设计理念,将数据处理掌控权交回用户手中,无需订阅费或转账费,这在竞争激烈的存储工具市场中颇具吸引力。产品的核心优势包括跨平台支持、本地运行保障隐私、终身许可模式等。从用户评价看,创作者通过实际应用验证了产品的可靠性。潜在挑战在于市场教育成本和与主流云存储服务的深度整合程度,但其简洁的定位和开发者友好的属性使其在开发者和小型团队中有明确的市场机会。","primaryCategory":"developer-tools","categories":["developer-tools","data-analytics"],"normalizedTopics":["存储","移动与存储","开发者工具","Storage","Moving & Storage"]},{"name":"Supaguard ","tagline":"扫描、检测并保护 Supabase 数据","description":"许多 Supabase 应用意外暴露了个人信息、支付卡数据或硬编码密钥。这很容易被忽略,但修复成本很高。Supaguard 在几分钟内扫描应用,准确显示哪些数据被暴露。无需复杂配置,只需连接即可;检测个人信息、支付卡数据和 API 密钥;即时警报通知。限时优惠:2 次免费扫描 + 新年 35% 折扣。欢迎反馈——为帮助开发者安全保护数据而构建。","votesCount":80,"commentsCount":5,"createdAt":"2026-01-02T08:01:00Z","website":"https://www.producthunt.com/r/FLS6I7US3EISG5?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/supaguard?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/d65c5b53-6e1d-4efe-90aa-e643ce862ce6.png?auto=format","topics":["SaaS","开发者工具","安全"],"firstComment":"我们构建 Supaguard 是因为保护 Supabase 项目的难度远高于预期。开发者往往直到为时已晚才发现敏感数据被暴露。我们的目标是创建一款工具,能够立即洞察安全风险并提供可行的修复步骤。随着时间推移,我们不断完善该工具,现已涵盖密钥、数据库表、个人信息、支付卡数据、行级安全策略配置错误检测,以及生成高管级别的 PDF 报告——全部集成在一个仪表板中。\n\n🎉 安全开启新年!立即注册,享受限时 35% 优惠。让 2026 成为应用安全的一年!","thumbnail":"https://ph-files.imgix.net/f695aacb-c31f-4cd0-b902-7caa3f83bca4.png?auto=format","date":"2026-01-02","id":"2026-01-02-8-supaguard-","taglineEn":"Scan, Detect & Protect Your Supabase Data","descriptionEn":"I've seen many Supabase apps accidentally expose PII, PCI, or hardcoded keys. It's easy to miss and expensive to fix. So I built Supaguard — it scans your app in minutes and shows exactly what's exposed. • No setup, just connect • Detects PII, PCI & API keys • Instant alerts Launch offer: 2 free scans + 35% New Year discount 👉 supaguard.pro Feedback welcome — built to help devs stay safe without headaches.","topicsEn":["SaaS","Developer Tools","Security"],"firstCommentEn":"We built Supaguard because securing Supabase projects was harder than it should be. Developers often don't know if sensitive data is exposed until it's too late. Our goal was to create a tool that gives instant insights into security risks and actionable steps to fix them. Over time, we've refined it to cover keys, database tables, PII, PCI, RLS misconfigurations, and generate executive-ready PDF reports—all in one dashboard.\n\n🎉 Kick off the New Year safely! Sign up now and get 35% off for a limited time. Let's make 2026 the year of secure apps!","review":"Supaguard 抓住了 Supabase 开发者的真实痛点——数据安全检测的自动化需求。在云数据库普及的时代,意外数据泄露已成为高频风险,而传统的安全审计流程耗时费力。该产品通过快速扫描和智能检测,将复杂的安全合规问题简化为一键式解决方案。其核心优势在于专注于 Supabase 生态,提供针对性的检测逻辑(PII、PCI、API 密钥等),并支持生成高管级报告。目标用户是快速增长的初创公司和独立开发者,他们需要在有限的资源下确保数据安全。潜在挑战包括如何扩展支持范围、与企业安全审计工作流的集成深度,以及如何在检测准确度与误报率之间找到平衡点。","primaryCategory":"developer-tools","categories":["developer-tools","data-analytics"],"normalizedTopics":["SaaS","开发者工具","安全","Security"]},{"name":"Gitdocs","tagline":"从 GitHub 仓库生成生产级 README 文件","description":"这次更新引入了新的 agent 工作流,能够深度分析代码仓库,生成和升级文档,同时保持近乎零停机时间和一致的响应质量。Gitdocs AI 现在提供多个行业就绪的模板供选择,使高质量、标准化的文档成为现代软件项目的新常态。","votesCount":136,"commentsCount":16,"createdAt":"2025-12-30T08:01:00Z","website":"https://www.producthunt.com/r/BDDY7KJQI73Q27?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/gitdocs-ai?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/e1658ce5-5250-439b-96c1-1f63237fe70e.png?auto=format","topics":["生产力","开发者工具","GitHub"],"firstComment":"大家好,Product Hunt 👋\n\n我是 Gitdocs AI 的创作者 Abhas。\n\n我之所以开发这个工具,是因为编写 README 文件是软件发布过程中最枯燥但也最重要的工作。大多数仓库要么文档已过时,要么根本没有文档。\n\nGitdocs AI 分析 GitHub 仓库,在几分钟内生成清晰、结构化的 README,还能轻松自定义或升级现有文档。\n\n期待听到反馈:\n• 文档工作中最让人厌烦的部分是什么?\n• 这个工具是否能融入工作流程?\n\n感谢使用 🚀","thumbnail":"https://ph-files.imgix.net/36743a02-1ade-435b-bae7-2d7466cf5778.png?auto=format","date":"2025-12-30","id":"2025-12-30-5-gitdocs","taglineEn":"Generate production-ready README files from your GitHub repo","descriptionEn":"This launch introduces a new agentic workflow that deeply analyzes your repository to generate and upgrade documentation with near-zero downtime and consistent responses. Gitdocs AI now offers multiple industry-ready templates to choose from, making high-quality, standardized documentation the new normal for modern software projects.","topicsEn":["Productivity","Developer Tools","GitHub"],"firstCommentEn":"Hey Product Hunt 👋\n\nI'm Abhas, the maker of Gitdocs AI.\n\nI built this because writing README files is one of the most boring\nbut important parts of shipping software. Most repos either have\noutdated docs or none at all.\n\nGitdocs AI analyzes your GitHub repository and generates a clean,\nstructured README in minutes — and lets you customize or upgrade\nexisting docs easily.\n\nWould love your feedback:\n• What part of docs do you hate most?\n• Would this fit your workflow?\n\nThanks for checking it out 🚀","review":"Gitdocs 解决了开发者在项目文档化中面临的一个长期痛点。README 文件作为项目的第一扇窗口至关重要,但其编写往往耗时费力,导致许多项目要么文档残缺,要么严重过时。通过 agent 工作流深度分析代码仓库的特点,Gitdocs AI 能够自动生成符合行业标准的文档,大幅降低文档维护成本。核心优势在于多模板支持和零停机升级机制,使文档标准化成为可能。目标用户包括活跃的开源开发者、初创企业技术团队以及有代码规范要求的企业。产品的创新点在于将 AI 与 GitHub 深度集成,自动化了一个流程繁琐但必不可少的环节,有望成为现代开发工作流中的标准工具。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","ai-agents"],"normalizedTopics":["生产力与办公","开发者工具"]},{"name":"Dropstone","tagline":"递归群体 IDE。一个标签页里的 10,000 个 agent","description":"Dropstone v3 突破了 AI 编码的\"线性壁垒\"。基于自主研发的 D3 引擎(动态蒸馏与部署),它摒弃了线性的 token 预测方式,采用递归群体架构。通过模拟 10,000+ 条不同的时间线来在错误发生前就将其剪除。包含用于架构规划的地平线模式和实时幻觉防御的语义熵追踪。","votesCount":167,"commentsCount":16,"createdAt":"2025-12-29T08:01:00Z","website":"https://www.producthunt.com/r/YSEQ7WJ6LAVPW6?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/dropstone-2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/685a6ae3-e1a6-4596-af0e-83666d96ae97.png?auto=format","topics":["生产力","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt!我们是 Blankline 团队。\n\n就像你们中的很多人一样,我们看到了 Andrej Karpathy 关于程序员感到\"落伍\"的推文。我们也有同感。但我们意识到问题不在于工程师——而在于工具。\n\n标准的 AI 编码工具碰到了\"线性壁垒\"。它预测下一个 token,然后再预测下一个。但真正的工程并不是线性的,而是一棵可能性树。如果模型在第 5 步犯了一个错误,整个代码库到第 50 步就会崩溃。\n\n所以我们构建了 Dropstone Horizon。\n\n它不仅仅是一个包装器。它是一个神经符号运行时,可以在后台生成多达 10,000 个\"侦查\"agent 的递归群体,来探索不同的解决方案路径。\n\n侦查 agent 为找到死胡同,这样就不用手动去找了。\n\nD3 引擎压缩了上下文,使能在 24 小时以上的时间内工作,而不会让 AI\"遗忘\"计划。\n\n我们构建这个工具是因为需要一个真正能思考的 IDE,而不仅仅是猜测。\n\n我们很期待听到关于分布式推理架构的反馈。这是否解决了其他工具中存在的上下文疲劳问题?\n\n实时演示:我将很快在 X 上展示 D3 引擎的核心功能和真实用例。关注这里查看引擎的实际效果:https://x.com/santosh_arron","thumbnail":"https://ph-files.imgix.net/43332fd8-8478-4c77-84c5-1f1df30118d5.png?auto=format","date":"2025-12-29","id":"2025-12-29-4-dropstone","taglineEn":"The Recursive Swarm IDE. 10,000 Agents in one tab","descriptionEn":"Dropstone v3 breaks the \"Linearity Barrier\" in AI coding. Powered by the proprietary D3 Engine (Dynamic Distillation & Deployment), it replaces linear token prediction with a Recursive Swarm Architecture. It simulates 10,000+ divergent timelines to prune errors before they happen. Features Horizon Mode for architectural planning and Semantic Entropy Tracking for real-time hallucination defense.","topicsEn":["Productivity","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hi Product Hunt! We are the team at Blankline.\nLike many of you, we saw Andrej Karpathy's tweet about feeling \"left behind\" as programmers. We felt it too. But we realized the problem isn't the engineers—it's the tools.\nStandard AI coding tools hit a \"Linearity Barrier.\" They predict the next token, then the next. But real engineering isn't linear; it's a tree of possibilities. If the model makes one mistake at step 5, the whole codebase is broken by step 50.\nSo we built Dropstone Horizon.\nIt's not just a wrapper. It's a neuro-symbolic runtime that spawns a Recursive Swarm of up to 10,000 \"Scout\" agents to explore divergent solution paths in the background.\nScouts find the dead ends so you don't have to.\n\nThe D3 Engine compresses the context so you can work for 24+ hours without the AI \"forgetting\" the plan.\n\nWe built this because we wanted an IDE that could actually think, not just guess.\nWe'd love your feedback on our Distributed Reasoning Architecture. Does this solve the context fatigue you feel in other tools?\n\nLIVE DEMO: I'll be demonstrating the core capabilities and real-world use cases of the D3 Engine shortly on X. Follow along here to see the engine in action: https://x.com/santosh_arron","review":"Dropstone 以神经符号计算的创新架构直面 AI 编码工具的核心问题。传统 AI 编码助手采用线性 token 预测方式,一步错误会导致后续崩溃。Dropstone 通过递归群体架构同时探索多条解决方案路径,以蒸馏与部署结合的 D3 引擎实现错误提前剪除。其创新点在于将编码问题从线性预测转化为树形搜索问题,更贴近真实工程思维。地平线模式和语义熵追踪分别解决了长期规划和幻觉防御的难题。目标用户为对编码效率有高要求的专业开发者和架构师。潜在挑战在于复杂引擎的可用性与学习成本,以及大规模 agent 并行执行的稳定性控制。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["生产力与办公","开发者工具","AI 与智能体"]},{"name":"BetaCircle","tagline":"在 Google Play 闭测中获取 12 名安卓测试者,期限 14 天","description":"BetaCircle 是在 Google Play 闭测中获取所需 12+ 名测试者的最简单方式。发布应用、接触活跃测试者、获取结构化反馈,并在应用的整个生命周期中提升可见度。","votesCount":89,"commentsCount":8,"createdAt":"2025-12-29T08:01:00Z","website":"https://www.producthunt.com/r/TMVLTGKLUOOYPQ?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/betacircle?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/ab3ef558-8724-4c17-801a-30d2784f831f.jpeg?auto=format","topics":["安卓","开发者工具"],"firstComment":"大家好!在 Play Store 发布应用时寻找 12 名闭测者的过程可能令人沮丧。我们在这里提供帮助!期待听到各位的想法和意见。","thumbnail":"https://ph-files.imgix.net/958e0b87-2a62-4e74-9760-e8203fde9d81.png?auto=format","date":"2025-12-29","id":"2025-12-29-9-betacircle","taglineEn":"Get 12 android testers for 14 days in Closed Testing","descriptionEn":"BetaCircle is the easiest way to get the 12+ testers required for 14 days on Google Play Closed Testing. Post your app, reach active testers, receive structured feedback, and boost visibility through the entire app lifecycle.","topicsEn":["Android","Developer Tools"],"firstCommentEn":"Hi developers, the process of finding 12 testers for closed testing when publishing your app on the Play Store can be frustrating. We're here to help !Let us know what you think, we're here to listen.","review":"BetaCircle 针对安卓开发者面临的一个具体痛点——在 Google Play 闭测中难以找到足够测试者——提供了精准的解决方案。谷歌要求 14 天内至少 12 名活跃测试者的门槛对独立开发者和中小团队来说往往是瓶颈。该产品通过搭建测试者网络,简化了募集流程,同时保证了反馈的结构化和质量。相比手动寻找或低效的社区推广,BetaCircle 提高了测试效率,加速了应用上架周期。产品定位清晰,面向有迫切闭测需求的安卓开发者。关键优势在于缩短上架周期和确保反馈质量,但成功与否还需验证测试者的活跃度和反馈质量是否能长期保持稳定。","primaryCategory":"developer-tools","categories":["developer-tools","hardware-platforms"],"normalizedTopics":["安卓","开发者工具","硬件、移动与平台"]},{"name":"HMPL","tagline":"轻量级面向服务器的 JavaScript 模板语言","description":"HMPL.js 提供了以最少 JavaScript 代码构建服务器驱动模板的灵活性。通过其基于块的语法、可自定义的数据获取请求,以及对表单、事件和基于时间同步的内置支持,可以交付动态用户界面,无需依赖沉重的框架。HMPL 集成了 JSON5 以支持更具表现力的对象语法,以及 DOMPurify 以确保安全的 HTML 渲染,总代码量仅需几千字节。","votesCount":186,"commentsCount":4,"createdAt":"2025-12-28T08:01:00Z","website":"https://www.producthunt.com/r/NTQB24QGO7GL5Z?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/hmpl-js?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/2b977fa2-d3b3-48d4-9995-c9ce0ba70cea.png?auto=format","topics":["开源","开发者工具","GitHub"],"firstComment":"祝贺 HMPL 团队发布!\n\n也向长期从事 HMPL.js 开发的 Anthony 致敬。💖","date":"2025-12-28","id":"2025-12-28-2-hmpl","taglineEn":"Lightweight server-oriented template language for JavaScript","descriptionEn":"HMPL.js provides the flexibility to build server-driven templates with minimal JavaScript. With its block-based syntax, customizable fetch requests, and built-in support for forms, events, and time-based syncing you can deliver dynamic user interfaces without relying on a heavy framework. HMPL integrates with JSON5 for expressive object syntax and DOMPurify for safe HTML rendering, all in just a few kilobytes.","topicsEn":["Open Source","Developer Tools","GitHub"],"firstCommentEn":"Congratulations on the launch @HMPL team!\n\nAnd to Anthony, who's been working on HMPL.js for a loong time. 💖","review":"HMPL.js 针对现代 Web 开发中的 JavaScript 框架臃肿问题提出了轻量化解决方案。传统框架往往体积庞大、学习曲线陡峭,而 HMPL 通过服务器驱动的模板架构,将复杂逻辑转移到后端,前端仅需几千字节的代码即可实现丰富交互。其创新之处在于块级语法设计和内置事件、表单、同步机制,降低了开发复杂度。特别适合追求性能优化、资源受限的场景(如嵌入式 Web、低带宽环境)以及需要快速迭代的团队。与传统 SPA 框架相比,HMPL 在首屏加载和运行时性能上具有明显优势。不过,其生态和社区成熟度相对较新,需要时间验证在大型项目中的实际表现。","primaryCategory":"developer-tools","categories":["developer-tools","education-learning","data-analytics"],"normalizedTopics":["开发者工具","Open Source"]},{"name":"Product Hunt Wrapped 2025","tagline":"2025 创意人之旅,数据可视化呈现","description":"2025 是创意人的丰收年。在发布产品、参与竞争、攀登排行榜之后,现在是时候审视这些数据了。Product Hunt Wrapped 为生成关于过去一年的精美视觉总结。只需粘贴开发者令牌即可揭示:🚀 发布基因:产品总数和获赞数。🌍 全球排名:在年度前 1000 创意人中的排名。🎭 创意人人设:是闪电型扩张者、传奇人物还是顶尖猎手?✨ 视觉故事:2025 成就的动态呈现。发现排名。","votesCount":292,"commentsCount":26,"createdAt":"2025-12-27T08:01:00Z","website":"https://www.producthunt.com/r/PPLE5IC264OZML?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/product-hunt-wrapped-2025?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/139229c7-00f9-4ff3-97c8-76078b02a38b.png?auto=format","topics":["开发者工具","Product Hunt","创意人工具"],"firstComment":"大家好,Product Hunt!👋\n\n2025 年对创意人社区来说是增长爆发的一年。在深夜的开发、紧张的发布日和社区的相互支持中,我们往往忘记了回顾全局。\n\n我构建 Product Hunt Wrapped 2025 是为了让每位创意人都能以电影般的方式庆祝自己的旅程。无论发布一款还是十款产品,的贡献都塑造了今年的生态。\n\n工作原理:\n\n从 API 仪表板获取开发者令牌(应用中已包含教程)。\n\n粘贴它来查看个性化的 2025 故事。\n\n或观看教程,了解获取开发者令牌有多简单。\n\n发现创意人人设(是闪电型扩张者还是行业传奇?)和全球年度排名。\n\n隐私说明:令牌仅用于从 Product Hunt API 获取公开统计数据。我们不存储令牌,也不追踪私人数据。\n\n期待看到大家的成果。在评论中分享人设和全球排名吧!我会全天在线回答问题,为大家的成就庆祝。\n\n祝包装愉快!🚀","date":"2025-12-27","id":"2025-12-27-0-product-hunt-wrapped-2025","taglineEn":"Your 2025 maker journey, visualized.","descriptionEn":"2025 was a massive year for makers. You shipped, hunted, and climbed the leaderboards now see the data. Product Hunt Wrapped generates a cinematic summary of your year. Just paste your Developer Token to reveal: 🚀 Launch DNA: Your total products and upvotes. 🌍 Global Ranking: Where you stand in the yearly top 1000. 🎭 Maker Persona: Are you a Blitzscaler, Legend, or Apex Hunter? ✨ Visual Story: A dynamic walkthrough of your 2025 wins. Find your rank.","topicsEn":["Developer Tools","Product Hunt","Maker Tools"],"firstCommentEn":"Hey Product Hunt! 👋\n\n2025 has been a year of massive growth for the maker community. Between the late-night shipping, the nerve-wracking launch days, and the incredible support we give each other, we often forget to look back at the big picture.\n\nI built Product Hunt Wrapped 2025 because I wanted to give every maker a cinematic way to celebrate their journey. Whether you launched one product or ten, your contribution shaped the ecosystem this year.\n\nHow it works:\n\nGrab your Developer Token from your API Dashboard (I've included a tutorial in the app!).\n\nPaste it in to see your personalized 2025 story.\n\nOr Watch tutorial to see how easy it is to get your Developer Token\n\nDiscover your Maker Persona (are you a Blitzscaler or an Industry Legend?) and your global yearly rank.\n\nPrivacy Note: Your token is used only to fetch your public stats from the PH API. We don't store it, and we don't track your private data.\n\nI'm so excited to see everyone's results. Drop your Persona and your Global Rank in the comments below! I'll be here all day to answer questions and celebrate your wins with you.\n\nHappy wrapping! 🚀","review":"Product Hunt Wrapped 2025 巧妙地将数据可视化与社区庆祝结合在一起。产品针对创意人社群的痛点——他们在忙碌于产品开发和发布中,往往忽视回顾自身成就——提供了一个富有仪式感的解决方案。通过个性化人设分类和排名机制,强化了创意人的身份认同和社群归属感。核心创新在于将 API 数据转化为视觉化故事,增强了用户体验的沉浸感。同时,在数据隐私上的透明说明也建立了信任。目标用户为 Product Hunt 平台的活跃创意人和开发者,具有明确的受众定位。产品的局限性在于依赖 Product Hunt 官方数据,市场范围相对固定,但作为社群互动工具,其凝聚力和传播价值不容低估。","primaryCategory":"developer-tools","categories":["developer-tools","data-analytics"],"normalizedTopics":["开发者工具","Product Hunt","创意人工具","Maker Tools"]},{"name":"Alpie Core","tagline":"具有前沿性能的 4 位推理模型","description":"Alpie Core 是一个 32B 推理模型,完全以 4 位精度进行训练、微调和服务。采用推理优先设计,在多步推理和编码方面表现出色,同时仅使用全精度模型的一小部分计算资源。Alpie Core 是开源的、兼容 OpenAI、支持长上下文,可通过 Hugging Face、Ollama 和托管 API 获取,适用于真实场景。","votesCount":162,"commentsCount":7,"createdAt":"2025-12-27T08:01:00Z","website":"https://www.producthunt.com/r/EGJT2NDZ4DEBY7?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/alpie-core?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/69d3090f-9af5-4432-aa39-2e8092e41cbd.png?auto=format","topics":["API","开发者工具","人工智能","GitHub"],"firstComment":"各位开发者\n\n现代 AI 技术不断进步,但前提是能够承担巨大的 GPU 和内存成本。我们认为这种方式既不可持续,也不利于大多数开发者,所以我们选择了另一条路。\n\nAlpie Core 是一个 32B 推理模型,完全以 4 位精度进行训练、微调和服务。它在多步推理、编码和分析性能方面表现强劲,同时大幅降低了内存占用和推理成本,无需依赖蛮力扩展。\n\n它支持 65K 长上下文,采用开源(Apache 2.0)许可证,兼容 OpenAI,可高效运行在实际的低端 GPU 上。现在可以通过 Hugging Face、Ollama、我们的托管 API 或 169Pi Playground 使用。\n\n为了让各位在圣诞节和新年期间持续构建,我们为首次 API 使用提供 500 万免费代币,无需承担成本即可测试、基准测试和发布。\n\n本次发布将模型、基准、API 访问和基础设施整合在一个地方,我们期待来自开发者、研究人员和基础设施团队的反馈。欢迎提出问题、批评意见和对比分析,这些都将帮助我们完善 v2 版本。","date":"2025-12-27","id":"2025-12-27-3-alpie-core","taglineEn":"A 4-bit reasoning model with frontier-level performance","descriptionEn":"Alpie Core is a 32B reasoning model trained, fine-tuned, and served entirely at 4-bit precision. Built with a reasoning-first design, it delivers strong performance in multi-step reasoning and coding while using a fraction of the compute of full-precision models. Alpie Core is open source, OpenAI-compatible, supports long context, and is available via Hugging Face, Ollama, and a hosted API for real-world use.","topicsEn":["API","Developer Tools","Artificial Intelligence","GitHub"],"firstCommentEn":"Hey builders\n\nModern AI keeps getting better, but only if you can afford massive GPUs and memory. We didn't think that was sustainable or accessible for most builders, so we took a different path.\n\nAlpie Core is a 32B reasoning model trained, fine-tuned, and served entirely at 4-bit precision. It delivers strong multi-step reasoning, coding, and analytical performance while dramatically reducing memory footprint and inference cost, without relying on brute-force scaling.\n\nIt supports 65K context, is open source (Apache 2.0), OpenAI-compatible, and runs efficiently on practical, lower-end GPUs. You can use it today via Hugging Face, Ollama, our hosted API, or the 169Pi Playground.\n\nTo keep you building over Christmas and the New Year, we're offering 5 million free tokens on your first API usage, so you can test, benchmark, and ship without friction.\n\nThis launch brings the model, benchmarks, api access, and infrastructure together in one place, and we'd love feedback from builders, researchers, and infra teams. Questions, critiques, and comparisons are all welcome as we shape v2.","review":"Alpie Core 通过 4 位量化技术创新地解决了高性能推理模型的成本和可访问性问题。传统大模型需要高端硬件支持,限制了应用范围,而该产品在保持竞争力性能的前提下,显著降低了计算资源需求。核心创新在于完整的 4 位精度训练流程,而非事后量化,确保了模型质量。开源 Apache 2.0 许可和 OpenAI 兼容性设计,降低了开发者迁移成本。目标用户包括资源受限的初创团队、学生开发者和需要高效推理的企业。产品的完整生态(Hugging Face、Ollama、API、Playground)显示了团队对实用性的重视。潜在挑战在于与量化后性能衰减、在极端推理任务上的竞争力,以及如何在开源社区中获得足够关注。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","finance-business"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Year in Code","tagline":"Claude 编码年度回顾,如同 Spotify Wrapped!","description":"Year in Code 将 Claude Code 的使用数据转化为精美的年度回顾报告。查看总 token 数量、编码活跃度统计和最常使用的模型。仅需一条 ccusage 命令,2 分钟即可完成设置。核心功能:✓ Wrapped 风格的精美设计 ✓ 永久免费且开源 ✓ 2 分钟快速设置 ✓ 支持保存和分享到社交媒体。适合想要可视化 AI 编码活动和成本统计的 Claude Code 用户。","votesCount":14,"commentsCount":2,"createdAt":"2025-12-27T08:01:00Z","website":"https://www.producthunt.com/r/NRRI6TWPSFRCHA?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/year-in-code?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/eada0260-7b3a-483a-a95b-ea4c9d0ee334.png?auto=format","topics":["用户体验","开发者工具","GitHub","科技"],"firstComment":"大家好,Product Hunt!👋\n\n我是开发者。我构建 Year in Code 的原因是,作为 Claude Code 用户,我没有简便的方式来查看使用模式和成本。\n\n快速上手指南:\n1. npx -y ccusage@latest daily --since 20250101 --until 20251231 --json > wrapped.json\n2. 上传到 yearincode.xyz\n3. 获取精美的年度报告!\n\n所有处理都在浏览器中完成——数据始终保留在本地。\n\n欢迎提问!很期待听到 Product Hunt 社区的反馈 🙏\n\nGitHub:https://github.com/isaadgulzar/y...","date":"2025-12-27","id":"2025-12-27-7-year-in-code","taglineEn":"Spotify Wrapped for your claude coding year!","descriptionEn":"Year in Code turns your Claude Code usage into beautiful year-in-review reports. See your total tokens, activity streaks, and top models used. Setup takes 2 minutes with just one ccusage command. Key features: ✓ Beautiful Wrapped-style design ✓ Free forever & open source ✓ 2-minute setup ✓ Save/Share on socials Perfect for Claude Code users who want to visualize their AI coding activity and costs (soon).","topicsEn":["User Experience","Developer Tools","GitHub","Tech"],"firstCommentEn":"Hey Product Hunt! 👋\n\nCreator here. I built Year in Code because as a Claude Code user, I had no easy way to see my usage patterns and costs.\n\nQuick setup for anyone wanting to try:\n1. npx -y ccusage@latest daily --since 20250101 --until 20251231 --json > wrapped.json\n2. Upload to yearincode.xyz\n3. Get your beautiful report!\n\nEverything is processed in your browser – your data never leaves your computer.\n\nHappy to answer any questions! Would love feedback from the PH community 🙏\n\nGitHub: https://github.com/isaadgulzar/y...","review":"Year in Code 抓住了开发者的一个实际需求——可视化 AI 编码投入。随着 Claude Code 等 AI 编程工具的普及,开发者需要了解自己的使用成本和编码模式,这款产品通过 Spotify Wrapped 这一流行文化符号,以创意的方式解决这个问题。产品设计优雅,强调数据隐私(浏览器本地处理),且开源免费,这些都是核心竞争力。目标用户明确为活跃的 Claude Code 用户群体。目前产品仍处于早期阶段,成本统计功能待完善,未来可考虑扩展至其他 AI 编程工具,并增加更多数据分析维度,以提升粘性和价值感。","primaryCategory":"developer-tools","categories":["developer-tools","design-creative","social-community"],"normalizedTopics":["设计、图片与视频","开发者工具","社交、社区与内容","User Experience","Tech"]},{"name":"rep+","tagline":"AI 安全副驾驶,守护 HTTP 请求","description":"rep+ 是一款轻量级 Chrome DevTools 扩展,灵感源自 Burp Suite 的 Repeater 工具,现已集成 AI 能力。当需要快速测试几个请求而不想启动整个 Burp 环境时,这款扩展能保持工作流的高效和专注,并通过集成 LLM 提供智能支持。","votesCount":12,"commentsCount":3,"createdAt":"2025-12-27T08:01:00Z","website":"https://www.producthunt.com/r/4AGMCVZYVTL7DC?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/rep-2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/41216f4c-5ce1-41a6-9ca8-5731b22a50f8.png?auto=format","topics":["Chrome 扩展","生产力","开发者工具","人工智能","GitHub"],"firstComment":"rep+ 源于一个非常实际的困境。我喜欢 Burp Suite 的 Repeater,但很多情况下只需要快速测试几个请求。在已经使用浏览器和 DevTools 的时候,启动完整的 Burp 环境感觉太重了。\n\n我想要一个轻量级的工具,更贴近请求真实发生的地方。所以我构建了 rep+,这是一个受 Repeater 启发的 Chrome DevTools 扩展,但专注于速度和专注力。随着项目发展,我意识到仅仅重放请求是不够的。在测试过程中,我不断提出同样的问题:这个容易受攻击吗?这里有什么问题?我怎样才能改进或修复它?\n\n这正是 AI 的用武之地。rep+ 从一个简单的请求编辑器演进为智能助手,能分析请求和响应、突出潜在漏洞、解释原因,甚至建议或应用修复。始终如一的目标是:降低摩擦、保持心流状态、在不离开浏览器的前提下让安全测试更快速、更深入。","date":"2025-12-27","id":"2025-12-27-9-rep+","taglineEn":"Your AI security copilot for HTTP requests.","descriptionEn":"rep+ is a lightweight Chrome DevTools extension inspired by Burp Suite's Repeater, now supercharged with AI. I often need to poke at a few requests without spinning up the full Burp stack, so I built this extension to keep my workflow fast, focused, and intelligent with integrated LLM support.","topicsEn":["Chrome Extensions","Productivity","Developer Tools","Artificial Intelligence","GitHub"],"firstCommentEn":"Rep+ started from a very practical frustration. I love Burp Suite's Repeater, but in many cases I only needed to poke at a few requests quickly. Spinning up the full Burp stack felt heavy when I was already working inside the browser and DevTools.\n\nI wanted something lightweight that lived closer to where requests actually happen. So I built Rep+ as a Chrome DevTools extension inspired by Repeater, but designed for speed and focus. As the project evolved, I realized that simply replaying requests was not enough. During testing, I kept asking the same questions. Is this vulnerable? What is wrong here? How can I improve or fix it?\n\nThat is where AI became a natural fit. Rep+ evolved from a simple request editor into an intelligent assistant that can analyze requests and responses, highlight potential vulnerabilities, explain them, and even suggest or apply changes. The goal stayed the same throughout. Reduce friction, stay in flow, and make security testing faster and more insightful without leaving the browser.","review":"rep+ 解决了安全测试人员的一个核心痛点:轻量级、快速的 HTTP 请求调试工具的缺失。传统 Burp Suite 功能强大但启动开销大,rep+ 通过 Chrome DevTools 扩展的形式,让开发者和安全工程师可以在浏览器环境中直接进行请求分析和测试。产品的创新之处在于将 AI 能力融入其中——不仅能重放和编辑请求,还能智能识别潜在漏洞、解释安全风险并提出修复建议。这大幅降低了安全测试的门槛,使非专业安全人员也能进行基础的漏洞检测。目标用户包括全栈开发者、安全研究员及 API 测试人员。面临的主要挑战是如何确保 AI 漏洞识别的准确性和覆盖面,以及与 Burp 等专业工具的差异化定位。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","ai-agents"],"normalizedTopics":["Chrome 扩展","生产力与办公","开发者工具","AI 与智能体","Chrome Extensions"]},{"name":"LyftMyApp","tagline":"开发者协作应用测试和反馈平台","description":"一个协作平台,开发者可以在其中互相测试应用和 SaaS 产品。分享产品、获得诚实且可操作的反馈,并作为回报帮助他人测试。基于同行驱动的应用测试和反馈机制,加速产品验证、改善用户体验、提高发布质量。","votesCount":14,"commentsCount":4,"createdAt":"2025-12-26T08:01:00Z","website":"https://www.producthunt.com/r/KR76QOJ7MMNAHG?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/lyftmyapp?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/156ae2be-96c5-46cf-9744-aad9ed538b2c.png?auto=format","topics":["SaaS","开发者工具"],"firstComment":"我创建 LyftMyApp 是为了解决作为开发者经常遇到的问题:获取真实、有用的应用和 SaaS 反馈,而不用等待数周或费力去寻找用户。\n\nLyftMyApp 是一个开发者协作测试平台。提交应用后,其他开发者会测试并分享诚实、可操作的反馈。作为回报,测试社区中的其他应用。没有虚假评价,没有噪音——只是开发者互相帮助打造更好的产品。\n\n如果正在推出应用、迭代用户体验或早期验证想法,欢迎试用并分享反馈。意见将直接影响后续开发方向。\n\n感谢关注 🙌\n很乐意解答任何问题!","date":"2025-12-26","id":"2025-12-26-8-lyftmyapp","taglineEn":"Collaborative app testing and feedback for developers","descriptionEn":"A collaborative platform where developers get their apps and SaaS tested by other developers. Share your product, receive honest and actionable feedback, and help test others in return. Built for real collaboration, it enables faster validation, better UX, and higher-quality releases through peer-driven app testing and feedback.","topicsEn":["SaaS","Developer Tools"],"firstCommentEn":"I built LyftMyApp to solve a problem I kept running into as a developer: getting real, useful feedback on apps and SaaS—without waiting weeks or chasing users.\nLyftMyApp is a collaborative testing platform for developers. You submit your app, other developers test it and share honest, actionable feedback. In return, you test apps from the community. No fake reviews, no noise—just builders helping builders ship better products.\nIf you're launching an app, iterating on UX, or validating ideas early, I'd love for you to try it out and share feedback. Your thoughts will directly shape what we build next.\n\nThanks for checking it out 🙌\nHappy to answer any questions!","review":"LyftMyApp 抓住了开发者在产品迭代中的核心痛点:获取高质量、真实的反馈。传统反馈渠道存在的问题是虚假评价泛滥、付费用户测试成本高昂、以及获取有深度的建议困难。该产品通过构建开发者互助生态,实现了反馈的对等交换,既降低了成本,又提高了反馈质量。目标用户包括早期创业者、独立开发者和中小型 SaaS 团队,他们迫切需要真实的验证和改进建议。创新点在于利用开发者社区本身的专业能力进行反馈,形成良性循环。挑战在于如何保证参与者的活跃度和反馈质量,以及如何平衡不同开发者的参与动力。","primaryCategory":"developer-tools","categories":["developer-tools","design-creative"],"normalizedTopics":["SaaS","开发者工具"]},{"name":"GitJin","tagline":"在一个清晰的仪表板中管理 GitHub 仓库、议题和拉取请求","description":"面向开发者的 GitHub 仪表板。在一个快速、简洁的界面中查看所有仓库、议题和拉取请求。速度极快,号称全球最快的 GitHub 仪表板。打开时不会让用户感到压力。是否厌倦了在 GitHub 主页上寻找仓库或打开拉取请求、议题的麻烦?必须尝试一下。","votesCount":98,"commentsCount":7,"createdAt":"2025-12-24T08:01:00Z","website":"https://www.producthunt.com/r/EO45QKNXWEE6DU?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/gitjin?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/8a959fee-cb3a-4a8d-9b4e-54d370242bf8.png?auto=format","topics":["用户体验","开发者工具","GitHub"],"firstComment":"大家好,Product Hunt!👋\n\n我是来自日本的独立开发者 Kabosu,我构建了 **GitJin**(gitjin.com)— 一个简化的 GitHub 仪表板,在一个清晰的界面中展示仓库、拉取请求和议题。\n\n🎯 **我为什么构建这个产品:**\nGitHub 主页信息混乱且加载缓慢。我花费了大量时间在多个标签页间寻找活跃项目和拉取请求。GitJin 通过在一个界面中显示所有必要信息来解决这个问题 — 无需滚动,无需切换标签。\n\n✨ **与众不同的地方:**\n- **GitHub 风格的界面**:熟悉的界面设计,感觉本地化,而不是另一个通用仪表板\n- **闪电般快速**:CDN 优化实现亚秒级加载时间\n- **精心设计的用户体验**:键盘快捷键、智能过滤和为开发工作流优化的一键操作\n- **简洁专注**:只有所需内容,没有多余信息\n\n🚀 **适合以下开发者:**\n- 想要更快的拉取请求审查工作流\n- 需要一个统一的 GitHub 活动信息源\n\n很期待收到关于如何进一步改进 GitJin 以适应日常开发工作流的反馈!\n\n有什么功能能让这个产品对有更有用吗?🙏","date":"2025-12-24","id":"2025-12-24-8-gitjin","taglineEn":"GitHub repos, issues, and PRs in one clear dashboard","descriptionEn":"A GitHub dashboard for developers. See all your repos, issues, and pull requests in one fast, simple view. Very, Very fast. I think fastest github dashboard in the world. It don't makes your stress when you open. Do you feel hassle picking up repository on Github home or opening PRs, issues? You must try it.","topicsEn":["User Experience","Developer Tools","GitHub"],"firstCommentEn":"Hey Product Hunt! 👋\n\nI'm Kabosu, an indie developer from Japan, and I built **GitJin** (gitjin.com) - a streamlined GitHub dashboard that puts your repos, PRs, and issues on one clean screen.\n\n🎯 **Why I built this:**\nGitHub's home feed is cluttered and slow. I spent too much time hunting for my active projects and PRs across multiple tabs. GitJin solves this by displaying everything you need at a glance - no scrolling, no tab-switching.\n\n✨ **What makes it different:**\n- **GitHub-inspired UI**: Familiar interface that feels native, not another generic dashboard\n- **Lightning-fast**: CDN-optimized for sub-second load times\n- **Thoughtful UX**: Keyboard shortcuts, smart filters, and one-click actions designed for developer workflows\n- **Clean & focused**: Only what you need, nothing you don't\n\n🚀 **Perfect for developers who:**\n- Want faster PR review workflows\n- Need a single source of truth for their GitHub activity\n\nI'd love your feedback on how I can make GitJin even better for your daily development workflow!\n\nWhat features would make this more useful for you? 🙏","review":"GitJin 针对开发者日常工作中的一个真实痛点 — GitHub 信息散乱、查找效率低下 — 提出了简洁直接的解决方案。作为一款面向开发者的工具,其核心竞争力在于性能优化和极致的用户体验设计。极快的加载速度和简洁的界面布局能够显著提升工作效率,特别是对于需要频繁管理多个仓库和拉取请求的开发者。产品的 GitHub 风格设计降低了学习成本,使用户可以快速上手。当前面临的主要挑战是在竞争激烈的开发工具市场中建立差异化优势,以及如何通过持续的功能迭代来保持吸引力。若能加入团队协作、实时通知等高级功能,将进一步增强产品的市场竞争力。","primaryCategory":"developer-tools","categories":["developer-tools","design-creative"],"normalizedTopics":["设计、图片与视频","开发者工具","User Experience"]},{"name":"/agent by Firecrawl ","tagline":"从网络任何地方获取结构化数据","description":"Firecrawl /agent 是一个魔法 API,能够搜索、导航并从最复杂的网站中收集数据。只需描述所需的数据,agent 就会处理其余的一切。在难以访问的地方查找信息,返回单个数据点或大规模的完整数据集。","votesCount":377,"commentsCount":24,"createdAt":"2025-12-23T08:01:00Z","website":"https://www.producthunt.com/r/ATYZPRMPOENSED?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/extract-by-firecrawl?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/85421143-27ff-4f09-98ee-7bce22ff51b1.png?auto=format","topics":["开发者工具","人工智能","数据"],"firstComment":"大家好 Product Hunt 👋\n\n我们是来自 Firecrawl 的 Eric、Caleb 和 Nick。今天我们推出 /agent,一个能够从网络任何地方收集数据的 API。\n\n传统的网络抓取需要确切的 URL,只能抓取该页面上的内容。但真实的数据是分散的。它存在于多个网站上,隐藏在分页目录中、埋在多步骤流程里,而且很少能提前知道确切的 URL。\n\n我们构建 /agent 来自动处理这些问题。只需描述所需的数据,可以有 URL 也可以没有,它就会自动处理其余的事情。它搜索、导航并从最广泛的网站范围收集信息,达到其他任何 API 都无法触及的数据。无论是需要单个数据点还是大规模的完整数据集,它都能完美处理。\n\n现在已在 Firecrawl API 和 SDK 中上线,很快还会在 n8n、Zapier 和我们的 MCP 中推出。\n\n可以在我们的 playground 中试用:https://www.firecrawl.dev/app/agent\n很期待听到各位的想法。\n\nP.S. 以研究预览版本发布,随着反馈的收集预期会有改进。","date":"2025-12-23","id":"2025-12-23-1-/agent-by-firecrawl-","taglineEn":"Gather structured data wherever it lives on the web","descriptionEn":"Firecrawl /agent is a magic API that searches, navigates, and gathers data from even the most complex websites. Describe what data you want and agent handles the rest. Find information in hard-to-reach places, return single datapoints or entire datasets at scale.","topicsEn":["Developer Tools","Artificial Intelligence","Data"],"firstCommentEn":"Hey Product Hunt 👋\n\nWe're Eric, Caleb, and Nick from Firecrawl. Today we're launching /agent, an API that can gather data wherever it lives on the web.\n\nTraditional web extraction requires exact URLs and only scrapes what's on that page. But real data is scattered. It lives across sites, buried in paginated catalogs, hidden in multi-step flows, and you rarely know the exact URLs upfront.\n\nWe built /agent to handle this autonomously. Just describe what data you need, with or without a URL, and it figures out the rest. It searches, navigates, and gathers information from the widest range of websites, reaching data no other API can. Whether you need one data point or entire datasets at scale, it just works.\n\nIt's live now in the Firecrawl API and SDKs, and coming soon to n8n, Zapier, and our MCP.\n\nYou can try it out in our playground: https://www.firecrawl.dev/app/agent\nWould love to hear what you think.\n\nP.S. Launching in research preview, expect improvements as we gather feedback.","review":"/agent by Firecrawl 解决了现代数据采集中的核心痛点。传统网页爬虫依赖已知的 URL 并只能抓取单页内容,而真实世界的数据往往分散于多个网站、隐藏在分页结构和动态交互流程中。该产品通过 AI agent 技术实现了自适应数据采集,用户仅需描述数据需求,系统自动完成搜索、导航和抓取的全过程。核心优势在于其通用性——支持从结构化数据到非结构化内容的采集,以及从单点查询到大规模数据集的扩展能力。目标用户涵盖数据分析师、研究人员、集成商和 AI 应用开发者。面临的挑战包括保证采集结果的准确性、处理反爬虫机制和维持 API 的稳定性。","primaryCategory":"data-analytics","categories":["data-analytics","developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","数据分析与商业智能"]},{"name":"Vibe Pocket","tagline":"在移动设备上运行 AI agents,如 Claude Code、Codex、Opencode","description":"Vibe Pocket 是一个云端平台,可在移动设备或网页上运行 AI agents,如 Claude Code、Codex、Opencode 等。连接 GitHub,选择 agent,即可从任何设备开始编程。支持 15 种以上的 CLI agents,包括 Claude Code、Codex、Gemini CLI、OpenCode、Droid、AMP Cli、Crush、Aider 等。还可连接终端,轻松运行应用或执行任何命令,就像在电脑终端一样。可直接在 Vibe Pocket 中访问正在运行的网络应用。","votesCount":130,"commentsCount":2,"createdAt":"2025-12-23T08:01:00Z","website":"https://www.producthunt.com/r/CNGY5XRBUUJAQC?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/vibe-pocket-run-cli-ai-agents-anywhere?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/dde09c9e-0513-42fa-b059-ffbded62bf1e.png?auto=format","topics":["开发者工具","人工智能","Vibe 编码"],"firstComment":"这就是\"Vibe 编码\"应该有的样子!🏖️\n\n移动设备编程曾经很痛苦,因为需要打字,但有了 Claude Code 和 Aider 这样的 agents 来处理繁重工作,移动界面现在完全说得通了。感觉终端终于为后 LLM 时代做好了准备。\n\n我很好奇工作流程——如果切换应用或断开连接,Vibe Pocket 是否能保持会话状态(像 tmux 那样)?这种持久化对于移动编程来说至关重要。祝贺发布!","date":"2025-12-23","id":"2025-12-23-6-vibe-pocket","taglineEn":"Run AI agents like Claude Code, Codex, Opencode on mobile","descriptionEn":"Vibe Pocket is a cloud based platform for running AI agents like Claude Code, Codex, opencode, on mobile or web. Connect GitHub, pick an agent, and start building from any device. More than 15 CLI agents are supported including Claude Code, Codex, Gemini CLI, OpenCode, Droid, AMP Cli, Crush, Aider... You can also connect to the terminal and run your apps or any command you want just like on a computer terminal easily. You can also access your running web apps directly within Vibe Pocket.","topicsEn":["Developer Tools","Artificial Intelligence","Vibe coding"],"firstCommentEn":"This is exactly what 'Vibe Coding' should look like! 🏖️\nCoding on mobile used to be painful because of the typing, but with agents like Claude Code and Aider doing the heavy lifting, a mobile interface makes total sense now. It feels like the terminal is finally ready for the post-LLM era.\nI'm curious about the workflow—does Vibe Pocket maintain the session state (like tmux) if I switch apps or lose connection? That persistence would be key for coding on the go. Congrats on the launch!","review":"Vibe Pocket 抓住了 AI 编程工具移动化的关键机遇。随着 Claude Code、Aider 等 AI agents 的成熟,开发者不再被束缚于复杂的手动编码,这使得在移动设备上进行高效编程成为现实。该产品通过整合多种 CLI agents 和终端功能,为开发者提供了统一的移动编程环境,目标用户包括需要远程工作、移动开发的工程师。核心创新点在于将传统 CLI 工具链迁移到移动端,同时保留会话状态和终端体验。相比现有的移动编程解决方案,Vibe Pocket 的优势在于 AI agents 的加持使编程效率大幅提升。潜在挑战包括确保稳定的连接、维护会话状态的可靠性,以及在小屏幕上提供良好的交互体验。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","Vibe 编码","Vibe coding"]},{"name":"cto bench","tagline":"真实代码 agent 基准测试","description":"大多数 AI 基准测试都是反向构建的。有人坐下来,凭空想象困难的问题,然后衡量 agent 解决这些问题的能力。结果很有趣,但不一定能反映真正重要的东西:agent 在实际工作中的表现。这就是我们构建 cto.bench 的原因。我们的基准测试不是基于假设任务,而是基于真实工作。cto.bench 上的每个数据点都来自 cto.new 用户在平台上的实际使用情况。","votesCount":101,"commentsCount":6,"createdAt":"2025-12-20T08:01:00Z","website":"https://www.producthunt.com/r/COUTGCDJTFJEGX?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/cto-new?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/d1c5aef2-1e13-41e4-a30c-228577326562.jpeg?auto=format","topics":["分析","开发者工具","人工智能"],"firstComment":"很高兴宣布 cto bench 已正式上线。这是一个基准测试工具,用真实的模型使用方式进行测试,这些数据来自 cto.new 用户对最新前沿模型的实际使用。许多基准测试工具通过自定义测试套件来运行 LLM 以验证其可行性,但 cto bench 使用实际的使用模式和 PR 合并率来验证模型在真实任务中的表现。我们希望为不断演进的 LLM 基准测试领域提供有价值的、实用的数据点。","date":"2025-12-20","id":"2025-12-20-5-cto-bench","taglineEn":"The ground truth code agent benchmark","descriptionEn":"Most AI benchmarks are built backwards. Someone sits down, dreams up hard problems, and then measures how well agents solve them. The results are interesting, sure. But they don't always tell you what matters: how agents perform on the actual work that's sitting in your queue. That's why we built cto.bench. Instead of hypothetical tasks, we're building our benchmark from real work. Every data point on cto bench comes directly from how cto.new users are actually using our platform.","topicsEn":["Analytics","Developer Tools","Artificial Intelligence"],"firstCommentEn":"I'm excited to share cto bench is live. This is a benchmarking tool that tests against real world usage of the latest and greatest frontier models by cto.new users. Many benchmarking tools run LLMs through custom suites to test viability, but cto bench uses actual usage patterns and PR merge rates to verify how well models are performing on actual tasks. We hope this ads valuable, practical data points to the LLM benchmarking space as it evolves.","review":"cto.bench 通过一个创新视角解决了 AI 基准测试的根本问题——从真实使用场景而非虚拟任务出发。传统基准测试往往脱离实际应用,导致模型在测试中表现优异但在生产环境中效果欠佳。该产品通过收集 cto.new 用户的实际代码提交和合并率数据,建立基于真实工作负载的性能评估体系,使测试结果更具实用价值。目标用户包括大模型开发者、AI 工程师和开发工具提供商。核心优势在于数据的真实性和代表性,避免了人为设计测试用例的偏差。随着 AI agent 应用的深化,这类基于真实场景的评估工具将成为模型选型和优化的重要参考。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["分析","开发者工具","AI 与智能体","数据分析与商业智能"]},{"name":"Review Frame","tagline":"将 GitHub 工作转化为审查就绪的总结","description":"Review Frame 将 GitHub 活动转化为清晰、审查就绪的总结。了解工作内容、关注点分布以及在个人项目和组织中的贡献情况。专为 1:1 会议、绩效评估和年度评谈而设计。仅读取权限。无评分。无监控。","votesCount":12,"commentsCount":3,"createdAt":"2025-12-20T08:01:00Z","website":"https://www.producthunt.com/r/WIZAHUDVC3UDCC?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/reviewdeck-3?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/a5e8f4dc-7872-441a-b87b-33476645e1d3.png?auto=format","topics":["生产力","开发者工具","GitHub"],"firstComment":"大家好👋\n\n我之所以构建 Review Frame,是因为准备 1:1 会议和绩效评估对我来说一直很痛苦。每次 1:1 或绩效评估(尤其是年度评谈)时,我都要在各种 PR 和代码仓之间跳转,这让人很疲惫。\n\nReview Frame 将这些活动汇总成一份清晰的审查就绪总结,这样就能自信地讨论工作内容,而不用翻阅 GitHub 历史记录。\n\n它还能帮助组织了解贡献焦点和一致性,不需要侵入式的追踪。\n\n我目前已经构建了一个 MVP,集成了 GitHub。我的计划是根据反馈进行改进并逐步扩展。🚀\n\n👉 我很想了解:\n在 1:1 会议或评估期间,遇到过相同的困难吗?\n\n什么功能能让这个工具对更有帮助?\n\n一开始有什么令人困惑或缺失的地方吗?\n\n感谢查看这个工具\n\n期待得到诚实的反馈,了解什么有用、什么缺失或令人困惑","date":"2025-12-20","id":"2025-12-20-8-review-frame","taglineEn":"Review Ready Summaries, built from your GitHub work.","descriptionEn":"ReviewFrame turns your GitHub activity into clear, review-ready summaries. See what you worked on, where your focus went, and how you contributed across personal projects and organisations. Built for 1:1s, performance reviews, and year-end conversations. Read-only access. No scoring. No surveillance.","topicsEn":["Productivity","Developer Tools","GitHub"],"firstCommentEn":"Hey Everyone 👋\n\nI built ReviewFrame since preparing for 1:1s and performance reviews was always painful for me, getting tired of jumping across PRs and repos every time I had a 1:1 or performance review especially for year-end conversations.\n\nReviewFrame pulls that activity together into a clear, review-ready summary so you can talk about your work with confidence instead of digging through GitHub history.\n\nIt can also help organisations understand contribution focus and consistency at a glance , without invasive tracking.\n\nI built the MVP integrating Github for now. My plan is to improve it based on feedback and expand it over time.🚀\n\n👉 I'd love to know:\nDo you face the same pain during 1:1s or reviews?\n\nWhat would make this more useful for you?\n\nAnything confusing or missing at first glance?\n\nThanks for checking it out \n\nWould love honest feedback on what's useful, missing, or confusing","review":"Review Frame 解决了开发者在绩效评估和职业发展对话中的普遍痛点——如何快速、准确地总结自己的贡献。传统方法需要手动梳理 GitHub 历史,耗时且容易遗漏关键信息。该产品通过自动化数据聚合,为开发者提供一份量化的工作证据,这对 1:1 会议、绩效评估乃至年度总结都极为有价值。产品的核心优势在于其非侵入性设计——仅读取权限,无评分机制,无监控成分,保护了隐私同时建立信任。目标用户包括需要定期汇报工作的开发者、工程经理和 HR。当前仅支持 GitHub,后续扩展潜力大。主要挑战在于如何准确反映贡献价值的多维度,以及如何与组织文化相适配。","primaryCategory":"developer-tools","categories":["developer-tools","productivity"],"normalizedTopics":["生产力与办公","开发者工具"]},{"name":"OLLM.COM","tagline":"机密AI网关","description":"OLLM 是一款隐私优先的 AI 网关,提供一系列精选的主流大语言模型,这些模型部署在英特尔 SGX 和英伟达等机密计算芯片上。其零知识架构意味着数据零可见、零保留或零训练使用。数据不仅在传输和存储时加密,如今在处理过程中也保持加密状态。为了提供一层额外的可验证隐私,OLLM 为用户提供密码学证明,证实其请求是在可信执行环境中安全处理的。","votesCount":10,"commentsCount":6,"createdAt":"2025-12-20T08:01:00Z","website":"https://www.producthunt.com/r/WFRKBKA6INBC6R?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/ollm-com?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/f0d8191a-e9bb-4aff-8c15-e48816d2f632.png?auto=format","topics":["隐私","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt!\n\n坦率地说,构建 OLLM 是因为我感到恐惧。\n\n我是 Cursor 的重度用户,总是提心吊胆,不知道我的代码究竟去了哪里。按下回车键后,它会经历什么?不久后,Cursor 推出了基于用户代码库训练的新编码模型\"composer\",随后 Windsurf 的 SWE 1.5 也出现了,生成的代码与我们写的如此相似。\n\n我们永远无法验证数据是否真的被加密了。没有证据,只有盲目的信任。这不仅仅是企业的问题,也是每个工程师、每个创始人的问题。如果正在使用 AI,基本上就是把最敏感的工作托付给了别人,而且没有任何证据能证明它是安全的。\n\n我们构建 OLLM 就是为了改变这一点,为注重隐私的工程师、研究人员和团队提供一个选择,让他们能够知道并验证自己的数据是加密且安全的。\n\n理念很简单:给人们选择。可以使用标准基础设施以获得速度,也可以选择机密基础设施,让数据在加密的可信执行环境内处理,并获得密码学证明,证实处理过程是安全的。这不仅仅是隐私政策,而是实际的数学证明。\n\nOLLM 能实现什么:\n银行的合规团队可以在敏感交易数据上运行内部 Copilot,并证明云服务提供商或模型托管方都无法看到原始输入。\n医疗机构可以在不使数据离开机密计算环境的情况下,为临床医生总结患者记录。\n公共部门和 Web3 团队可以分析用户行为或链上活动,将身份、提示词和输出结果都密封在 TEE 内,同时仍能向监管机构和合作伙伴证明其合规性。\n\n我们目前的进展:正处于 MVP 阶段。目前,我们支持一系列精选的开源大语言模型,它们部署在机密计算芯片上。\n\n请试用它。找出它的不足。告诉我们缺少哪些开源模型。哪些功能不完善。您真正会使用什么。什么能让您放心地用最敏感的数据来使用 AI。我们只想要诚实的反馈。","date":"2025-12-20","id":"2025-12-20-9-ollm.com","taglineEn":"The Confidential AI Gateway","descriptionEn":"OLLM is a privacy-first AI Gateway that offers a curated selection of popular LLMs deployed on confidential computing chips such as Intel SGX and NVIDIA. Zero-Knowledge architecture means zero data visibility, retention or training use. Data now also stays encrypted during processing, not just in transit or at rest. To add an extra layer of verifiable privacy, OLLM provides users with cryptographic proof that their requests were safely processed in a TEE.","topicsEn":["Privacy","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Product Hunt! \n\nFrankly, I built OLLM because I was scared. \n\nI'm a heavy user of Cursor and I'm constantly on edge wondering where my code actually goes. What happens to it after I hit enter? It wasn't long when Cursor launched their new coding model \"composer\" followed by windsurfs SWE 1.5, trained on users' repos, producing code that looks so similar to what we write. \n\nThere's no way to ever verify that our data was actually encrypted. No proof, just blind trust. This isn't just an enterprise problem. It's every engineer's problem. Every founder's problem. If you're using AI, you're basically trusting someone else with your most sensitive work, and you have zero proof it's actually safe. \n\nWe built OLLM to change that, for privacy-conscious engineers, researchers, and teams who just want to know and verify that their data is encrypted and safe.\n\nThe idea is simple: give people a choice. Use standard infrastructure for speed, or use confidential infrastructure where your data processes inside an encrypted Trusted Execution Environment (TEE), and you get cryptographic proof it was handled safely. This is not a mere privacy policy, but actual mathematical proof. \n\nWhat OLLM unlocks:\nA bank's risk team can run an internal copilot over sensitive transaction data, proving that neither the cloud provider nor the model host can see the raw inputs.\nA healthcare provider can summarize patient records for clinicians without data ever leaving a confidential computing environment.\nPublic-sector and Web3 teams can analyze user behavior or on-chain activity, keeping identities, prompts, and outputs sealed inside TEEs, while still demonstrating compliance to regulators and partners.\n\nWhere we are today: We're currently in MVP. Right now, we support a curated selection of open-source LLMs deployed on confidential computing chips. \n\nTry it. Break it. Tell us what OSS models are missing. What doesn't work. What you'd actually use. What would make you comfortable using AI with your most sensitive data. Honest feedback only.","review":"OLLM.COM 精准地切入了当前 AI 应用浪潮中最核心的痛点之一:数据隐私与安全。随着企业将敏感代码、金融数据和医疗记录等投入 AI 模型,传统的\"信任模式\"已不足以满足合规与安全需求。该产品的核心创新在于将\"机密计算\"与\"零知识证明\"相结合,不仅承诺数据安全,更提供可验证的密码学证据,将隐私保护从政策层面提升至技术可验证层面。其目标用户明确,包括金融、医疗、公共部门及 Web3 等对数据主权和合规性要求极高的行业。通过提供标准与机密两种基础设施选项,OLLM 在性能与安全之间实现了灵活平衡。潜在挑战在于,机密计算硬件(如 Intel SGX)的普及度、性能开销以及开发者的采用门槛。然而,在数据泄露事件频发、监管日益严格的背景下,OLLM 所代表的\"可验证隐私\"很可能成为下一代企业级 AI 基础设施的标配。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["隐私","开发者工具","AI 与智能体","Privacy"]},{"name":"GitStory","tagline":"将 GitHub 提交转化为电影般的故事","description":"每次提交都讲述一个故事。GitStory 将 GitHub 活动转变为电影级的、可分享的时间线——非常适合希望超越图表来可视化自己开发历程的开发者。","votesCount":214,"commentsCount":19,"createdAt":"2025-12-19T08:01:00Z","website":"https://www.producthunt.com/r/TON5BTRQFQ4JLI?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/gitstory-2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/83e91c02-083c-40c7-8514-f8fefea43219.png?auto=format","topics":["设计工具","开源","开发者工具","GitHub"],"firstComment":"你好,Product Hunt 👋\n\n我是 Vishal,GitStory 的开发者。\n\n我开发 GitStory 是因为 GitHub 的数据统计感觉太……静态了。\n提交、熬夜、重构和突破都讲述一个故事——\n但它们从未*感觉*像一个故事。\n\nGitStory 将 GitHub 之旅转化为电影级的体验,\n可以探索和分享。\n\n我很想听听对以下方面的反馈:\n• 故事讲述的方面\n• 什么感觉神奇,什么不必要\n• 接下来想看到什么\n\n感谢查看——很乐意回答任何问题!","date":"2025-12-19","id":"2025-12-19-2-gitstory","taglineEn":"Turn your GitHub commits into a cinematic story","descriptionEn":"Every commit tells a story. GitStory turns your GitHub activity into a cinematic, shareable timeline — perfect for developers who want to visualize their journey beyond graphs.","topicsEn":["Design Tools","Open Source","Developer Tools","GitHub"],"firstCommentEn":"Hey Product Hunt 👋\n\nI'm Vishal, the maker of GitStory.\n\nI built GitStory because GitHub stats felt too… static.\nCommits, late nights, refactors, and breakthroughs all tell a story —\nbut they never *felt* like one.\n\nGitStory transforms your GitHub journey into a cinematic experience\nthat you can explore and share.\n\nI'd love feedback on:\n• The storytelling aspect\n• What feels magical vs unnecessary\n• What you'd want to see next\n\nThanks for checking it out — happy to answer anything!","review":"GitStory 以创意的角度重新审视开发者的 GitHub 轨迹,将枯燥的代码提交数据转化为具有叙事感的视觉化故事。这个产品抓住了开发者社区的痛点:传统的 GitHub 统计图表虽然数据准确,但缺乏情感共鸣,无法真实呈现开发者的成长历程和技术积累。GitStory 的创新在于引入了\"电影叙事\"的概念,使得开发者的工作成就变得更具可视化和可分享性。这对于构建个人品牌、展示技术能力和激励同行都有重要价值。产品定位清晰,目标用户为开源爱好者、技术博主和求职中的开发者。未来的挑战在于如何深化故事层次、增加交互维度,以及如何与更多第三方工具集成。","primaryCategory":"developer-tools","categories":["developer-tools","design-creative"],"normalizedTopics":["设计、图片与视频","开发者工具","Open Source"]},{"name":"LocaleX","tagline":"使用 AI 驱动的自动翻译功能本地化应用","description":"本地化不应该是一件头疼的事。作为开发者,我们讨厌手动管理电子表格。这就是我们构建 LocaleX 的原因。这是一款原生 macOS 应用,能够简化整个本地化工作流程。不再需要复制粘贴或与 Xcode 文件纠缠。主要功能:⚡️ AI 驱动的自动翻译 📂 无缝 Xcode 同步 🛠 原生开发者界面。停止浪费时间,立即将应用发布到全球!🚀","votesCount":108,"commentsCount":6,"createdAt":"2025-12-19T08:01:00Z","website":"https://www.producthunt.com/r/RWCBBBW7P3YL2H?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/localex-app-localizer?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/77fcc80c-06fd-482d-acc3-c0f48d5f18a7.png?auto=format","topics":["Mac","生产力","开发者工具","GitHub"],"firstComment":"大家好,Product Hunt!👋\n\n我是 Erdi,LocaleX 的开发者。\n\n作为移动开发者,我一直热爱开发应用,但绝对讨厌本地化的过程。😅 手动处理字符串文件、复制粘贴到翻译工具、修复格式错误——这对我的生产力造成了巨大杀伤。\n\n这就是我构建 LocaleX 的原因。\n\n这是一款原生 macOS 应用,设计目的是让本地化变得毫不费力。它利用 AI 自动翻译文本,同时保留上下文,并直接与 Xcode 项目同步。\n\n我构建这个工具是为了解决自己的痛点,现在我很兴奋能与社区分享它。\n\n我很期待在下方评论中听到反馈、问题或功能请求!👇\n\n感谢支持!🚀","date":"2025-12-19","id":"2025-12-19-7-localex","taglineEn":"Localize your apps with AI-powered auto translation","descriptionEn":"Localization shouldn't be a headache. 🤯 As developers, we hate managing spreadsheets manually. That's why we built LocaleX. It's a native macOS app that streamlines your entire localization workflow. No more copy-pasting or wrestling with Xcode files. Key Features: ⚡️ AI-Powered Auto Translation 📂 Seamless Xcode Sync 🛠 Native Developer UI Stop wasting days. Ship your app to the world today! 🚀","topicsEn":["Mac","Productivity","Developer Tools","GitHub"],"firstCommentEn":"Hi Product Hunt! 👋\n\nI'm Erdi, the maker of LocaleX.\n\nAs a mobile developer, I've always loved building apps but absolutely dreaded the localization process. 😅 Dealing with string files manually, copy-pasting into translators, and fixing format errors was a huge productivity killer for me.\n\nThat's why I built LocaleX.\n\nIt is a native macOS app designed to make localization effortless. It uses AI to auto-translate your keys while preserving context, and it syncs directly with your Xcode projects.\n\nI built this tool to scratch my own itch, and now I'm excited to share it with the community.\n\nI'd love to hear your feedback, questions, or feature requests in the comments below! 👇\n\nThanks for your support! 🚀","review":"LocaleX 针对开发者面临的应用本地化痛点推出了创新解决方案。传统的本地化流程涉及繁琐的手动操作、跨工具切换和文件格式处理,这严重拖累了开发效率。LocaleX 通过整合 AI 自动翻译与原生 Xcode 同步,将本地化流程从数天降低到数小时。其核心优势在于上下文感知的翻译能力和无缝的开发工具集成,让开发者能够专注于应用开发而非重复性的本地化工作。目标用户主要为需要支持多语言的移动和 Mac 开发者。产品的市场定位清晰,但需要在翻译质量、语言覆盖范围和与更多开发工具的集成等方面持续优化,才能在专业本地化工具市场中建立竞争力。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","ai-agents"],"normalizedTopics":["生产力与办公","开发者工具"]},{"name":"Quickleap","tagline":"无复杂化的域名重定向服务","description":"专业的域名重定向和 URL 转发服务,支持自动 HTTPS/SSL、301/302 重定向、路径转发和 API 接口。可重定向无限数量的域名,无需托管复杂性。提供免费试用。","votesCount":108,"commentsCount":6,"createdAt":"2025-12-19T08:01:00Z","website":"https://www.producthunt.com/r/Y252JLUIJAS347?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/quickleap?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/b557f31c-2bec-42a0-b712-f2b0898c0638.webp?auto=format","topics":["生产力","开发者工具","技术"],"firstComment":"我开发 Quickleap 是因为域名重定向一直都很麻烦。\n\n简单的重定向需要我设置托管或处理 SSL。\n或者依赖那些看起来不完整的工具。\n\n我想要更简单的方案。\n添加域名。选择 301 或 302。完成。\n\nQuickleap 自动处理 HTTPS、路径和证书。\n没有服务器。没有配置文件。\n\n我现在用它管理自己的项目。\n我为任何只想让重定向正常工作、不想被繁琐细节困扰的人构建了它。","date":"2025-12-19","id":"2025-12-19-8-quickleap","taglineEn":"Domain redirecting service without hassle.","descriptionEn":"Professional domain redirect and URL forwarding service with automatic HTTPS/SSL, 301/302 redirects, path forwarding, and API support. Redirect unlimited domains without hosting hassles. Free trial available.","topicsEn":["Productivity","Developer Tools","Tech"],"firstCommentEn":"i built quickleap because redirecting a domain was always messy.\n\nfor a simple redirect, i had to set up hosting or mess with ssl.\nor rely on tools that felt half-done.\n\ni wanted something simpler.\nadd a domain. pick 301 or 302. done.\n\nquickleap handles https, paths, and certificates on its own.\nno servers. no config files.\n\ni use it for my own projects now.\nand i built it for anyone who just wants redirects to work and stay out of the way.","review":"Quickleap 抓住了域名管理领域的实际痛点。传统解决方案要么需要复杂的托管配置,要么工具功能不完整。Quickleap 通过极简主义设计思路,将复杂的重定向操作简化为三步:添加域名、选择重定向类型、完成。产品的核心竞争力在于自动化处理 HTTPS/SSL 和证书管理,用户无需关心后端技术细节。目标用户包括开发者、创意工作者和中小企业主,他们需要快速部署多个域名重定向但又不想投入过多技术成本。支持 API 接口和无限域名数量的特性提升了产品的扩展性。目前的挑战在于如何在竞争激烈的域名服务市场中建立品牌认知,以及如何通过持续创新保持差异化优势。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","finance-business"],"normalizedTopics":["生产力与办公","开发者工具","技术","Tech"]},{"name":"Netlify AI Gateway","tagline":"无需管理密钥或账单即可使用 AI 模型","description":"Netlify AI Gateway 让在流畅编程时构建 AI 功能变得更容易。无需暂停工作去创建提供商账户、管理 API 密钥或设置账单,AI Gateway 会为安全处理凭证和使用情况。可以直接从 Netlify 项目调用来自 OpenAI、Anthropic 和 Google Gemini 的最新模型。这是从实验 AI 到生产就绪的更快路径。","votesCount":221,"commentsCount":25,"createdAt":"2025-12-18T08:01:00Z","website":"https://www.producthunt.com/r/LSRJB7RJUNM2WM?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/netlify?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/46402aed-fbde-4f7d-bd0e-2360d00dd6bc.jpeg?auto=format","topics":["开发者工具","人工智能","流畅编程"],"firstComment":"嘿,Product Hunt 👋\n\n我来自 Netlify 团队,我们构建 AI Gateway 是因为看到流畅编程时账户设置往往会打断节奏。\n\n添加 AI 功能通常意味着要停下来创建提供商账户、设置 API 密钥,并提前考虑账单问题。这种摩擦会破坏开发动力。\n\nAI Gateway 消除了这个设置层,让扩展规模时的持续管理变得简单。凭证和使用情况会自动安全处理,可以直接从 Netlify 项目调用来自 OpenAI、Anthropic 或 Google Gemini 的模型,专注于要构建的功能。\n\n为了便于尝试,每个账户都可以获得 300 个免费额度,可以无需提前设置或付费进行实验。\n\n我很想听听:\n\t•\t今天构建 AI 功能中最常被减速的地方是哪里?\n\t•\t尝试构建的第一个 AI 功能是什么?\n\n很乐意回答问题或深入讲解工作原理。","date":"2025-12-18","id":"2025-12-18-2-netlify-ai-gateway","taglineEn":"Use AI models without managing keys or billing","descriptionEn":"Netlify AI Gateway makes it easier to build AI features while you're vibe coding. Instead of pausing to create provider accounts, manage API keys, or set up billing, AI Gateway securely handles credentials and usage for you. You can call the latest models from OpenAI, Anthropic, and Google Gemini directly from your Netlify project. It's a faster path from experimenting with AI to something ready to run in production.","topicsEn":["Developer Tools","Artificial Intelligence","Vibe coding"],"firstCommentEn":"Hey Product Hunt 👋\n\nI'm on the Netlify team, we built AI Gateway after seeing how often you're on a roll vibe coding and then account setup derails everything.\n\nWhen you're moving fast adding AI usually means stopping to create provider accounts, set up API keys, and think about billing earlier than you want to. That friction breaks momentum.\n\nAI Gateway removes that setup layer and makes ongoing management simple when you're ready to scale. Credentials and usage are handled automatically and securely, so you can call models from OpenAI, Anthropic, or Google Gemini directly from your Netlify project and stay focused on the feature you're building.\n\nTo make it easy to try, every account starts with 300 free credits, so you can experiment without upfront setup or cost.\n\nI'd love to hear:\n\t•\tWhere does building with AI slow you down the most today?\n\t•\tWhat's the first AI feature you've tried to build?\n\nHappy to answer questions or go deeper on how this works.","review":"Netlify AI Gateway 巧妙地解决了开发者在集成 AI 功能时的痛点——繁琐的账户和密钥管理流程。该产品的创新在于将基础设施复杂性隐藏在后台,让开发者可以保持\"流畅编程\"的节奏,无缝调用多个主流 AI 模型。目标用户包括快速原型验证、MVP 开发以及对效率要求高的全栈开发者。相比直接调用各平台 API,AI Gateway 通过统一接口、自动凭证管理和内置的额度控制,降低了学习成本和风险。产品的 300 免费额度政策也降低了试错成本。潜在挑战包括平台依赖性(用户被绑定在 Netlify 生态)和定价策略的竞争力。但从开发体验角度看,该产品确实解决了从实验到生产的加速路径问题,具有较强的市场吸引力。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","流畅编程","Vibe coding"]},{"name":"Grov","tagline":"团队共享且同步的 AI 记忆和推理能力","description":"大多数 AI 编程工具都是单人模式。AI 在会话结束时会忘记一切,迫使每个开发者浪费时间进行冗余探索。Grov 将 AI 编程 agent 转变为集体团队大脑。它捕捉每个解决方案背后的推理过程,并将其同步到整个团队。如果一个开发者的 AI 理解了身份验证系统,所有 AI 都会立即获得这些知识。目前支持 Claude Code,即将扩展至 Codex 和 Gemini,未来还将支持 Cursor。","votesCount":128,"commentsCount":13,"createdAt":"2025-12-17T08:01:00Z","website":"https://www.producthunt.com/r/ZNTMM7QMKRHFTN?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/grov?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/95b049cb-a41d-4685-a0ac-f729b3b95a98.png?auto=format","topics":["开源","开发者工具","人工智能","GitHub"],"firstComment":"大家好!\n\n我开始构建 Grov 是因为我和联合创始人在努力保持文档与开发速度同步。在 AI 工具能让代码库在数天内增长 2 倍的时代,维护文档成了噩梦。\n\n我们意识到核心问题所在:代码存储在 Git 中被团队共享,但 AI 的学习过程却被困在私密的聊天日志里。即使向 agent 提供文档,仍然浪费时间和 token,因为它需要重新探索代码库或重新学习本应已知的架构决策。\n\n通过 Grov,我们希望帮助团队:\n1. 跳过\"探索\"阶段,加快交付速度\n2. 减少文档编写(Grov 自动捕捉\"为什么\")\n3. 通过消除冗余工作来节省 token\n\n期待听到反馈!我想知道:这是否解决了团队的痛点?我们还缺少什么功能?","date":"2025-12-17","id":"2025-12-17-7-grov","taglineEn":"Shared and synchronized AI memory + reasoning across teams","descriptionEn":"Most AI coding tools are single-player. Your AI forgets everything when the session ends, forcing every dev to waste time on redundant exploration. Grov turns your AI coding agent into a collective team brain. It captures the reasoning behind every solution and syncs it to your entire team. If one dev's AI figures out your auth system, everyone's AI knows it instantly. Currently works with claude code, expansion: codex, gemini Later: cursor","topicsEn":["Open Source","Developer Tools","Artificial Intelligence","GitHub"],"firstCommentEn":"Hi everyone!\n\nI started building Grov because my co-founder and I were struggling to keep documentation in sync with our development speed. In an era where AI tools let you 2x your codebase in days, maintaining docs is a nightmare. \n\nWe realized the core problem: while our code was shared in Git, our AI's learnings were trapped in private chat logs. Even when you feed your agent documentation, you still waste time and tokens waiting for it to re-explore the codebase or re-learn architectural decisions it should already know.\n\nWith Grov, we want to help teams:\n1. Ship faster by skipping the \"exploration\" phase\n2. Write fewer docs (Grov captures the \"why\" automatically)\n3. Save tokens by stopping redundant work\n\nLooking forward to your feedback! I'd love to know: Does this solve a pain point for your team? What features are we missing?","review":"Grov 切中了 AI 编程工具的核心痛点——知识孤岛与重复探索。在多开发者协作场景中,每个 agent 独立运作导致巨大浪费:相同的架构理解、相同的代码探索在不同开发者间重复发生。Grov 通过构建团队级的 AI 记忆库,实现知识沉淀与跨 agent 同步,这种模式创新性强。产品解决的是企业级 AI 编程的协作问题,目标用户是多人开发团队和需要高效工程交付的组织。相比单人 AI 工具的一次性价值,Grov 提供的累积收益随团队规模扩大而指数增长。技术难点在于如何准确捕捉 AI 推理过程、管理版本冲突和确保知识准确性。市场定位明确,竞争对手相对较少,有一定的先发优势。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","Open Source"]},{"name":"NexaSDK for Mobile","tagline":"将多模态 AI 部署到移动端的最简易方案","description":"NexaSDK for Mobile 使开发者能够在 iOS 和 Android 应用上,利用 Apple Neural Engine 和 Snapdragon NPU 加速,完全在设备端运行最新的多模态 AI 模型。仅需 3 行代码,即可构建会话、多模态理解、搜索和音频功能,无需云端成本,确保完全隐私,速度提升 2 倍,能效提高 9 倍。","votesCount":284,"commentsCount":51,"createdAt":"2025-12-16T08:01:00Z","website":"https://www.producthunt.com/r/IUKDN64BTRVP2R?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/nexasdk-for-mobile?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/2f4dda9a-f160-4cab-b760-0c61b896693d.png?auto=format","topics":["开发者工具","人工智能","SDK"],"firstComment":"大家好,Product Hunt —— 我是 Zack Li,Nexa AI 的 CTO 兼联合创始人 👋\n\n我们开发 NexaSDK for Mobile,是因为目睹了太多移动应用开发团队面临同样的困境:最佳的 AI 体验需要利用用户的真实上下文(笔记、照片、文档、应用内数据)……但将这些数据推送到云端处理,速度慢、成本高,且从隐私角度看令人不安。完全在设备端运行是显而易见的解决方案——直到你尝试在 iOS 和 Android 平台上,使用现代多模态模型来实现它。\n\nNexaSDK for Mobile 是我们的\"让设备端 AI 可交付\"工具包。它允许通过单一 SDK 在本地运行涵盖文本、视觉和音频的先进模型,并设计为利用手机的 NPU(专用 AI 引擎),从而实现约 2 倍的推理速度提升和约 9 倍的能效改善——这一点至关重要,因为电池续航很重要。\n\n可以快速构建的功能包括:\n基于用户数据(消息/笔记/文件)的设备端 LLM 助手——默认私有\n\n完全离线的多模态理解(屏幕内容 / 相机画面内容)\n\n用于低延迟转录和语音命令的语音识别\n\n此外:无云端 API 成本、支持最新模型、一个 SDK 覆盖 iOS/Android\n\n立即试用:https://sdk.nexa.ai/mobile,期待您的真实反馈:\n\n如果变得简单,您会首先交付哪个设备端功能?\n\n目前最大的阻碍是什么——模型支持、UX 模式,还是性能/电池?","date":"2025-12-16","id":"2025-12-16-1-nexasdk-for-mobile","taglineEn":"Easiest solution to deploy multimodal AI to mobile","descriptionEn":"NexaSDK for Mobile lets developers use the latest multimodal AI models fully on-device on iOS & Android apps with Apple Neural Engine and Snapdragon NPU acceleration. In just 3 lines of code, build chat, multimodal, search, and audio features with no cloud cost, complete privacy, 2x faster speed and 9× better energy efficiency.","topicsEn":["Developer Tools","Artificial Intelligence","SDK"],"firstCommentEn":"Hey Product Hunt — I'm Zack Li, CTO and co-founder of Nexa AI 👋\n\nWe built NexaSDK for Mobile after watching too many mobile app development teams hit the same wall: the best AI experiences want to use your users' real context (notes, photos, docs, in-app data)… but pushing that to the cloud is slow, expensive, and uncomfortable from a privacy standpoint. Going fully on-device is the obvious answer — until you try to ship it across iOS + Android with modern multimodal models.\n\nNexaSDK for Mobile is our \"make on-device AI shippable\" kit. It lets you run state-of-the-art models locally across text + vision + audio with a single SDK, and it's designed to use the phone's NPU (the dedicated AI engine) so you get ~2× faster inference and ~9× better energy efficiency — which matters because battery life is important.\n\nWhat you can build quickly:\nOn-device LLM copilots over user data (messages/notes/files) — private by default\n\nMultimodal understanding (what's on screen / in camera frames) fully offline\n\nSpeech recognition for low-latency transcription & voice commands\n\nPlus: no cloud API cost, day-0 model support, and one SDK across iOS/Android\n\nTry today at: https://sdk.nexa.ai/mobile, I'd love your real feedback:\nWhat's the first on-device feature you'd ship if it was easy?\n\nWhat's your biggest blocker today — model support, UX patterns, or performance/battery?","review":"NexaSDK for Mobile 精准地瞄准了移动 AI 开发的核心痛点:如何在保障用户隐私和数据安全的前提下,高效、低成本地部署先进的多模态 AI 能力。其核心价值在于将\"设备端 AI\"从概念变为易于实现的工程方案,通过统一 SDK 和底层硬件加速(NPU),解决了跨平台(iOS/Android)部署的碎片化难题。产品定位清晰,面向移动应用开发者,特别是那些需要处理敏感用户数据或追求极致响应速度与离线能力的场景,如个人助手、文档分析、实时翻译和图像识别应用。其宣称的 2 倍速度与 9 倍能效提升,直击移动设备续航与性能的平衡需求,是显著的技术优势。潜在挑战在于,随着模型不断迭代,如何在有限的设备算力与存储空间内持续集成最新、最强的模型,并保持 SDK 的轻量化与兼容性。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","hardware-platforms"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"QualGent","tagline":"一键测试应用,采用可扩展的 AI QA agent","description":"QualGent 是企业级 AI QA agent,帮助以思考的速度测试应用。用自然英文描述测试或连接应用上下文,QualGent 即可创建测试并在模拟器或真实 iOS/Android 设备上运行,具有自我修复的可靠性。它能自主处理回归测试、UI 变化和多应用流程。已有服务数百万用户的高速团队使用 QualGent 将测试覆盖率提升 10 倍,更快地交付高质量版本,每次都充满信心。","votesCount":258,"commentsCount":54,"createdAt":"2025-12-16T08:01:00Z","website":"https://www.producthunt.com/r/D5Z7AVGEVQEK5B?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/qualgent?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/a27a029a-9f9e-45c2-9916-b3ed409021b0.png?auto=format","topics":["开发者工具","人工智能","无代码"],"firstComment":"大家好 Product Hunt 👋,\n准备好用可扩展的 AI QA agent 一键测试应用了吗?我是 @aayjze,和 @shivamhacks 一起代表 QualGent(来自谷歌和 YC 支持的团队)。\n\nQualGent 是 QA 领域的 Cursor,能够创建测试、全天候运行,将测试生产力提升 100 倍。我们回归时推出了更快、更智能、更强大的 QualGent,这是发布以来最大的飞跃。\n\n仅在几个月内,我们做到了:融资、引入企业团队、创纪录地发布三个版本、扩展设备云、扩展到数百万 agent 操作,以及(最重要的是)以研究优先的方法构建 AI 驱动的 QA 未来。\n\n新功能\n🔓 即时自助服务:无需等待列表。注册、上传应用、立即运行数千个并行测试。\n🧠 自学和自生成:agent 现在具有记忆能力。它们学习应用、自己编写测试用例,在 UI 变化时自我修复。\n⚡ 并行速度:在真实设备上将 3 天的手动回归测试压缩为 30 分钟。\n🔗 完整生态:原生集成 GitHub、Slack 和 Linear,加上健壮的开发者 API 用于自定义管道。\n📱 全面覆盖:现在支持平板、横屏模式和复杂的多账户流程。\n\n我们的保证\n使用 QualGent 的团队发布速度快 80%,测试覆盖率提升 10 倍,用户报告的 bug 大幅减少。\n如果 QualGent 在 30 天内没有显著减少 QA 工作量,我们将退还信用。无需任何疑问。\n\n发布奖励 🎁\nProduct Hunt 前 100 个注册用户将获得价值 100 美元的免费 QA 额度,体验完全自主的移动 QA。\n\n我们期待听到反馈、问题和支持。我们将在这里回复每条评论 🙏\n\n👉 如果试用 QualGent,请告诉我们什么让人惊艳、什么出问题了,以及接下来想要什么。\n这只是开始。AI QA 成为新热点,我们在快速构建未来。🚀","date":"2025-12-16","id":"2025-12-16-3-qualgent","taglineEn":"Test apps in a click with AI QA agents that scale like infra","descriptionEn":"QualGent is the enterprise-grade AI QA agent that helps you test apps at the speed of thought. Describe tests in plain English or connect your app context. QualGent creates tests and runs them on emulators or real iOS/Android devices with self-healing reliability. It autonomously handles regressions, UI changes, and multi-app flows. Fast-moving teams that serve millions of users already use QualGent to 10x test coverage and ship high-quality releases faster, with confidence, every time.","topicsEn":["Developer Tools","Artificial Intelligence","No-Code"],"firstCommentEn":"Hey Product Hunt 👋, \nReady to test apps in a click with AI QA agents that scale like infra? I'm @aayjze with @shivamhacks here, creators of QualGent (ex-googlers, YC-backed).\n\nQualGent is the Cursor for QA that creates tests, runs them 24/7, and 100x your testing productivity. We're back with a faster, smarter, more agentic QualGent, our biggest leap since launch. \nIn just a few months, we've: raised funds, onboarded enterprise teams, shipped three versions in record speed, expanded our device cloud, scaled to millions of agent actions, and (most importantly) built the future of AI-powered QA with a research-first approach.\n\nWhat's new\n🔓 Instant Self-Serve: No waitlists. Sign up, upload your app, and run 1000s of parallel tests today. \n🧠 Self-Learning & Self-Generating: Our agents now possess memory. They learn your app, write their own test cases, and heal themselves when the UI changes. \n⚡ Parallel Velocity: Compress 3 days of manual regression into 30 minutes on real devices. \n🔗 Full Ecosystem: Native integrations for GitHub, Slack, and Linear, plus robust Developer APIs for custom pipelines. \n📱 Total Coverage: Now supporting Tablets, Landscape mode, and complex Multi-Account flows.\n\nOur guarantee\nTeams using QualGent ship 80% faster with 10× more test coverage and drastically fewer user-reported bugs.\nIf QualGent doesn't meaningfully reduce your QA overhead in 30 days, we'll return your credits. No questions asked.\n\nLaunch Bonus 🎁\nBe one of the first 100 Product Hunt signups and get $100 worth of free QA credits to try fully autonomous mobile QA on us.\nWe'd love your feedback, questions, and support. We're here all day replying to every comment 🙏\n\n👉 If you try QualGent, tell us what felt magical, what broke, and what you want next.\nThis is just the beginning. AI QA is the new sexy, and we're building the future fast. 🚀","review":"QualGent 针对移动应用测试领域的一个核心痛点——测试效率低下和覆盖不足——提供了创新解决方案。在快速迭代的产品开发周期中,传统手工测试已成为瓶颈,QualGent 通过 AI agent 技术实现了自动化测试的质变。产品的核心竞争力体现在三个方面:首先是自我学习能力,agent 能够理解应用逻辑并自主生成测试用例;其次是自我修复机制,能够应对频繁的 UI 变化而无需人工干预;第三是实际的性能提升,将回归测试周期从数天压缩到半小时。目标用户是中大型团队和高速增长的初创公司,它们对测试速度和质量有双重诉求。相比传统 QA 工具,QualGent 的 AI 驱动方向代表了未来趋势,但如何在复杂的多平台、多场景下保持准确性,以及与现有开发流程的无缝集成,是其持续面临的挑战。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","hardware-platforms"],"normalizedTopics":["开发者工具","AI 与智能体","无代码","No-Code"]},{"name":"Mirror","tagline":"检测 macOS 上隐藏的应用","description":"Mirror 能够检测那些刻意隐藏在 Activity Monitor 之外的后台 macOS 应用。它揭露了诸如 Interview Coder、Cluely、Hiding AI 等设计为隐形运行的工具,让用户完全掌握 Mac 上真正运行的程序。","votesCount":136,"commentsCount":10,"createdAt":"2025-12-16T08:01:00Z","website":"https://www.producthunt.com/r/QEDZSESBH3QU3O?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/mirror-14?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/5bb63960-8fb8-48df-ba21-76822ce1ecbb.png?auto=format","topics":["开源","开发者工具","GitHub","安全"],"firstComment":"嘿,Product Hunt 👋\n\n我是 Abdulbasit,Mirror 的开发者。\n\nMirror 的诞生源于一个我注意到的现象:越来越多的 macOS 应用故意隐藏在 Activity Monitor 之外——往往在用户完全没有意识到的情况下在后台运行。有些工具很有用,有些则令人质疑,但无形的隐藏剥夺了用户的选择权。\n\nMirror 将这种选择权还给用户。\n它揭露隐藏的后台应用,包括那些故意规避检测的隐形工具,让用户能够清楚地看到 Mac 上实际运行的程序。\n\n它的特点是:\n* 🕵️‍♂️ 专注于透明度,而不是恐惧\n* 🔒 尊重隐私,完全本地运行\n* 🧩 开源,可以验证它的工作原理\n\n我很想听听来自开发者、安全专家和 macOS 高级用户的反馈:\n\n* 哪些隐藏应用最让怀疑?\n* 接下来应该添加哪些检测信号?\n\n感谢关注——有任何问题都很乐意回答!","date":"2025-12-16","id":"2025-12-16-6-mirror","taglineEn":"Detect hidden apps on MacOS","descriptionEn":"Mirror detects background macOS apps that deliberately hide from Activity Monitor. It exposes stealth tools like Interview Coder, Cluely, Hiding AI, and similar apps designed to stay invisible giving you full visibility and control over what's really running on your Mac.","topicsEn":["Open Source","Developer Tools","GitHub","Security"],"firstCommentEn":"Hey Product Hunt 👋\n\nI'm Abdulbasit, the maker of Mirror.\n\nMirror was built after noticing a growing class of macOS apps that deliberately hide from Activity Monitor — often without users fully realizing what's running in the background. Some tools are useful, others questionable, but invisibility removes user choice.\n\nMirror gives that choice back.\nIt surfaces hidden background apps, including stealth tools that intentionally avoid detection, so you can clearly see what's actually running on your Mac.\n\nIt's:\n* 🕵️‍♂️ Focused on transparency, not fear\n* 🔒 Privacy-respecting and fully local\n* 🧩 Open source, so you can verify how it works\n\nI'd love feedback from builders, security folks, and macOS power users:\n\n* What hidden apps surprised you the most?\n* What detection signals should we add next?\n\nThanks for checking it out — happy to answer any questions!","review":"Mirror 解决了 macOS 用户面临的一个真实且日益严重的问题:隐形应用的监控盲区。随着恶意软件和隐蔽工具的数量增加,Activity Monitor 的局限性日益凸显。Mirror 通过开源方式提供透明的系统可见性,允许用户验证其检测机制,这是一个关键的信任优势。产品针对的是那些关心系统安全和隐私的 macOS 用户,包括安全专业人士、开发者和注重隐私的用户。其创新之处在于将系统监控从官方工具的被动检测转变为主动的隐形应用揭露,同时保持完全的本地隐私尊重。潜在的挑战在于检测的准确性和完整性,以及如何应对新型隐藏技术的出现。作为开源项目,社区驱动的更新将是其长期价值实现的关键。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","ai-agents"],"normalizedTopics":["开发者工具","安全","Open Source","Security"]},{"name":"Stakpak 3.0 CLI","tagline":"为只想快速交付的开发者打造的开源 DevOps agent","description":"Stakpak 是一款用 Rust 编写的完全开源 DevOps agent,帮助开发者在终端或 GitHub Actions 中安全地部署和运维生产基础设施。支持本地运行、自带密钥或使用自托管模型,从第一天起就内置了安全机制。Stakpak 专为真实生产环境设计,可靠性经过验证。立即尝试:curl -sSL https://stakpak.dev/install.sh | sh","votesCount":114,"commentsCount":16,"createdAt":"2025-12-16T08:01:00Z","website":"https://www.producthunt.com/r/Q3NIVFEZ6VMHTB?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/stakpak-dev?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/60bdcefb-807a-49a9-8131-d055bdbbda76.jpeg?auto=format","topics":["软件工程","开发者工具","人工智能","GitHub"],"firstComment":"感谢大家对我们早期发布的支持。\n\n我们再次推出 Stakpak,现已在 Apache 2.0 许可证下完全开源,过去一周内一直是 GitHub 上热门的 Rust 项目。\n\n大多数 LLM 并非为 DevOps 设计。它们会泄露凭证,不理解真实基础设施,在非平凡的升级或部署时崩溃。开发者要么逐条命令监督,要么将它们隔离在生产环境之外。\n\nStakpak 是我们对这一问题的解决方案。它是一款开源 DevOps agent,将安全性和确定性作为一级约束。Agent 通过受控执行层运行,使用 mTLS 上的 MCP,支持异步工具调用,并为长时间运行的操作实时流式传输进度。密钥被动态替换,模型永远看不到它们。\n\n规则手册是系统的核心部分。它们是明确的指南,教 agent 如何正确处理真实 DevOps 任务,减少时间和复杂性,无需依赖脆弱的提示或隐藏行为。\n\n可以在终端本地运行 Stakpak、在 GitHub Actions 中运行,或通过 Slack 使用我们的 SaaS 触发。一切都是开放的,包括系统提示。\n\n我们的长期目标是让基础设施越来越自驱。这只是开始。\n\n很想听到在生产环境中实际运维系统的工程师的反馈。试试吧,如果有用的话在 GitHub 上给我们 star,并关注后续更新。","date":"2025-12-16","id":"2025-12-16-8-stakpak-3.0-cli","taglineEn":"Open source DevOps agent for devs who just want to ship","descriptionEn":"Stakpak is a fully open source DevOps agent written in Rust that helps developers secure, deploy, and operate production infrastructure from the terminal or in GitHub Actions You can run it locally, bring your own keys, or use it with self-hosted models, while keeping safety built in from day one. Stakpak is designed to work reliably with real production infrastructure. Try it now: curl -sSL https://stakpak.dev/install.sh | sh","topicsEn":["Software Engineering","Developer Tools","Artificial Intelligence","GitHub"],"firstCommentEn":"Thanks for the support on our earlier launch.\n\nWe're launching Stakpak again, now fully open-sourced under Apache 2.0, and it's been one of the trending Rust projects on GitHub over the past week.\n\nMost LLMs are not built for DevOps. They leak credentials, don't understand real infrastructure, and break down on non-trivial upgrades or deployments. You either babysit every command or keep them far away from production.\n\nStakpak is our attempt to solve this properly. It's an open-source DevOps agent designed with safety and determinism as first-class constraints. The agent runs through a controlled execution layer, uses MCP over mTLS, supports async tool calls, and streams progress in real time for long-running operations. Secrets are dynamically substituted so the model never sees them.\n\nRulebooks are a core part of the system. They're explicit guidelines that teach the agent how to handle real DevOps tasks correctly, reducing time and complexity without relying on fragile prompts or hidden behavior.\nYou can run Stakpak locally in your terminal, inside GitHub Actions, or trigger it via Slack using our SaaS. Everything is open, including system prompts.\n\nOur long-term goal is to make infrastructure increasingly self-driving. This is just the beginning.\nWould love feedback from engineers who've actually operated systems in production. Try it out, star us on GitHub if it's useful, and follow along for updates.","review":"Stakpak 3.0 CLI 直击 AI 赋能基础设施管理的核心痛点。当前大多数 LLM 在 DevOps 场景中表现不佳,容易泄露凭证、误解真实环境、在复杂部署中失败。Stakpak 通过设计上的创新——受控执行层、mTLS 加密、动态密钥替换、规则手册体系——从根本上解决了 AI agent 在生产环境中的可靠性问题。完全开源的特性消除了信任顾虑,Rust 实现保证了性能。其灵活的部署方式(本地、GitHub Actions、Slack 集成)覆盖了开发者的多种工作流。核心优势在于安全第一的设计哲学和对真实生产场景的深度理解,而非通用 LLM 的盲目应用。目标用户为对基础设施自动化有高可靠性要求的开发团队。潜在挑战是教育市场认识到 AI DevOps 的可行性,以及与现有 DevOps 工具链的集成深度。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"CLI Manager","tagline":"在一个仪表板中运行和组织多个 AI CLI 代理","description":"终极 CLI 代理管理工具。从单一仪表板组织 Claude Code、Codex CLI 和 Gemini CLI。重命名代理、即时切换编辑器,并简化 AI 驱动的开发工作流程。","votesCount":102,"commentsCount":4,"createdAt":"2025-12-16T08:01:00Z","website":"https://www.producthunt.com/r/ZSB2YAFKNXJFMY?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/cli-manager?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/d3add52d-d521-4575-95bf-d25fb283dd02.png?auto=format","topics":["软件工程","开发者工具","体感编程"],"firstComment":"如果能在一个地方管理所有项目和 CLI 代理会怎样?\n\n我在查看 Antigravity 的 agent 管理器时获得了这个想法。看着所有这些 AI 工具不断更新,我确信不应该被锁定在任何单一的 AI 或工具中。","date":"2025-12-16","id":"2025-12-16-9-cli-manager","taglineEn":"One dashboard to run and organize multiple AI CLI agents","descriptionEn":"The ultimate CLI agent management tool. Organize Claude Code, Codex CLI, and Gemini CLI from a single dashboard. Rename agents, switch editors instantly, and streamline your AI-powered development workflow.","topicsEn":["Software Engineering","Developer Tools","Vibe coding"],"firstCommentEn":"What if you could manage all your projects and CLI agents in one place?\n\nI got this idea while looking at Antigravity's agent manager. And watching all these AI tools constantly updating, I became convinced that I shouldn't be locked into any single AI or tool.","review":"CLI Manager 解决了 AI 开发者面临的多工具碎片化问题。随着 Claude Code、Codex CLI、Gemini CLI 等多个 AI CLI 工具的涌现,开发者需要在不同工具间频繁切换,降低开发效率。该产品通过统一仪表板实现跨多个 AI 工具的集中管理,核心价值在于消除工具锁定、提升开发体验。目标用户是日常使用多个 AI CLI 代理的软件工程师和开发团队。产品设计简洁直观,支持快速编辑器切换和代理重命名,充分考虑开发者的实际需求。面临的挑战主要在于维持与各个 AI 工具 API 的兼容性,以及如何在功能扩展和使用简洁性之间找到平衡。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","体感编程","Vibe coding"]},{"name":"ManyPI","tagline":"将网站转换为 API","description":"将任何网站转换为干净、类型安全的 API。使用自然语言或 JSON Schema 提示词提取数据,获得可用的 JSON 输出,适用于 RAG 管道、销售、内容聚合或研究。","votesCount":266,"commentsCount":30,"createdAt":"2025-12-15T08:01:00Z","website":"https://www.producthunt.com/r/JVTFX6KAIPMEMK?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/manypi?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/9491c553-e095-45d9-baba-cfaef12df923.png?auto=format","topics":["API","开发者工具","人工智能"],"firstComment":"大家好,\n\nManyPI 刚刚上线。无论是表扬、批评还是改进建议,欢迎分享想法。此外,在计费页面输入代码 \"PHBONUS\" 可额外获得 40k 积分。有效期至圣诞节。;)\n\n最好的祝愿,\nOle","date":"2025-12-15","id":"2025-12-15-1-manypi","taglineEn":"Turn websites into APIs","descriptionEn":"Convert any website into a clean, type-safe API. Use natural-language or JSON-schema prompts to extract data and get usable JSON output for RAG pipelines, sales, content aggregation, or research.","topicsEn":["API","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hi folks,\n\nManyPI has just launched, and whether it's praise, criticism, or suggestions for improvement: Share anything that comes to mind. Also, redeem code \"PHBONUS\" on the billing page to get 40k extra credits. Valid until Xmas. ;) \n\nBest,\nOle","review":"ManyPI 解决了数据提取领域的一个关键痛点——开发者需要花费大量时间编写网页爬虫或维护数据同步脚本。通过自然语言和 JSON Schema 提示词的方式,该产品大幅降低了网站数据转 API 的技术门槛,使非专业开发者也能快速提取所需数据。产品特别适合需要频繁聚合网络数据的场景,如内容聚合平台、市场研究、竞争对手监测等。相比传统爬虫解决方案,ManyPI 提供了更加灵活、易维护的方案。核心优势在于类型安全的输出和与 RAG 管道的无缝集成,能够满足现代 AI 应用对结构化数据的需求。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","finance-business"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Flowglad","tagline":"开源、无webhook的支付方案,AI 可一步集成","description":"Flowglad 是一个开源支付服务商,可以集成到应用中而无需使用 webhook。不用编写繁琐的胶水代码来保持数据库与支付提供商的同步,API 直接告诉什么是客户的最新状态。","votesCount":142,"commentsCount":4,"createdAt":"2025-12-14T08:01:00Z","website":"https://www.producthunt.com/r/XIRGSGWCF4TZAO?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/flowglad?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/54f93fb3-7d6d-4191-a7d7-f8c19d287d5e.png?auto=format","topics":["开源","支付","开发者工具","GitHub"],"firstComment":"大家好,Product Hunt!\n\n经过数月的低调开发,我们终于准备好分享 Flowglad——一个开源支付服务商,可以无需 webhook 集成。\n\n问题所在\n典型的 SaaS 结账流程至少需要 16 次服务器-客户端往返。\n\n需要在数据库和支付处理器之间维护跨越多达 5 个表的映射。\n\n需要处理竞态条件。\n\n当今一个非常基础的支付流程看起来是这样的:\n\n协调这一流程的代码很脆弱,通常是应用中最难测试的部分。每当更新为每个计划提供的功能或成本时,都必须对数据库、代码和支付处理器代码(在实时模式和测试模式下)进行大量更改。\n\nFlowglad 的解决方案\n与其编写胶水代码,不如直接从 Flowglad 读取作为单一信息源。我们为前端提供 React hook 来创建结账并根据账单状态实时检查用户的功能访问权限:\nconst {\n createCheckoutSession, \n checkFeatureAccess,\n checkUsageCredits\n} = useBilling()\n我们在后端提供 server SDK,可以做同样及更多的事,用户可以使用自己的客户 ID 而不是我们的:\nconst flowgladServer = flowglad(user.id) // 使用自己的客户 ID,不用我们的\nawait flowgladServer.createUsageEvent({...})\n结果是一个支付集成,不需要考虑支付或账单问题。\n\n它处于早期阶段,我们计划了很多功能。但一如既往,早期推出更好,这样我们可以获得反馈来完善产品。","date":"2025-12-14","id":"2025-12-14-3-flowglad","taglineEn":"Open source, webhook-free payments that AI can one-shot","descriptionEn":"Flowglad is an open source payment provider you can integrate into your app without any webhooks. Instead of writing a bunch of glue code to keep your DB in sync with your payment provider, our API tells you what customers","topicsEn":["Open Source","Payments","Developer Tools","GitHub"],"firstCommentEn":"Hey Product Hunt,\nAfter months of quiet work, we're finally ready to share Flowglad: an open source payment provider that you can integrate without any webhooks.\n\nThe Problem\nA typical SaaS checkout flow requires at least 16 server-client hops.\n\nIt requires maintaining mappings across up to 5 tables in your database and your payment processor.\n\nIt requires dealing with race conditions.\n\nHere's what a very vanilla payments flow looks like today:\n\nThe code that choreographs this is brittle and often some of the hardest code in your app to test. And whenever you update what features you offer for each plan or how much each plan costs, you have to make a slew of changes across your DB, your code, and your payment processor's code (in both livemode and testmode).\n\nFlowglad's Solution\nInstead of writing glue code, you just read from Flowglad as your source of truth. We give you a React hook for your frontend to create checkouts and check customers' feature access in real time based on their billing state:\nconst {\n createCheckoutSession, \n checkFeatureAccess,\n checkUsageCredits\n} = useBilling()\nAnd we give you a server SDK on the backend that lets you do the same and more, where you can reference your customers using your customer id rather than ours:\nconst flowgladServer = flowglad(user.id) // use your customer ids, not ours\nawait flowgladServer.createUsageEvent({...})\nThe result is a payments integration which doesn't require you to think about payments or billing at all.\n\nIt's in an early state, and we have a lot of features planned. But as always, better to launch early so we can get your feedback to perfect the product.","review":"Flowglad 解决了 SaaS 应用中支付集成的核心痛点——复杂的架构耦合和高维护成本。传统支付集成需要编写大量胶水代码维持数据库与支付服务商同步,存在竞态条件风险,测试困难。Flowglad 通过开源方案与简化 API 设计,将支付集成从复杂的多表数据同步转变为直接查询单一信息源,大幅降低开发复杂度。其核心创新在于提供 React hook 和后端 SDK 的一致性抽象,支持使用自有客户 ID 而无需映射,开发者可以像调用本地函数一样处理支付逻辑。虽然产品仍处早期阶段,但其直观的设计理念和开源特性对开发者友好度高,特别适合追求快速迭代和降低技术债的初创和中小型 SaaS 团队。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","data-analytics"],"normalizedTopics":["开发者工具","支付","Open Source","Payments"]},{"name":"Sidemail MCP","tagline":"AI agent 驱动的 SaaS 邮件编写与管理","description":"Sidemail Email MCP Server 将 AI 工具(如 Claude、VS Code、Cursor 或 Windsurf)与电子邮件堆栈连接起来。通过 MCP 协议,agent 可以设置事务性邮件发送、编写通讯、管理联系人和分组、验证发送域名等操作,并依托 Sidemail 经过验证的邮件基础设施保障可靠性。","votesCount":121,"commentsCount":4,"createdAt":"2025-12-14T08:01:00Z","website":"https://www.producthunt.com/r/H3CPTVRF5F5AOB?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/sidemail-io?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/c4981a63-5438-418f-a5e4-629a1728921d.png?auto=format","topics":["电子邮件","SaaS","开发者工具","GitHub"],"firstComment":"大家好!\n\n我是 Kristyna,Sidemail 的创始人。很高兴与大家分享我们一直在构建的产品。\n\nAI 正在崛起,MCP 也是如此——它让开发者能够将 AI 工具集成到现实基础设施中,节省大量时间和资源。\n\n为了让邮件投递变得更简单,我们构建了 Sidemail Email MCP Server。\n\n它使开发者能够以程序方式发送和管理事务性邮件、联系人、发送域名和 Messenger 功能——直接在 VS Code、Claude、Cursor、Windsurf 和其他 MCP 客户端的 MCP agent 模式中完成。\n\n这意味着能够说出诸如以下命令:\n- \"根据更新日志编写产品更新,并安排明天下午 2 点向付费客户投递。\"\n- \"将今天注册的这些用户添加到早期采用者分组。\"\n- \"为 myproduct.com 创建新的发送域名。\"\n\nAI agent 为用户处理所有步骤——它检索数据、调用正确的邮件 API 方法,并在最终操作前请求确认。始终让用户保持掌控。\n\n一切都运行在 Sidemail 经过验证的邮件基础设施上,可确保可靠的投递、追踪和可扩展性,让每条消息都能到达目的地。\n\n如果有任何问题或想法,欢迎分享!我们习惯于与客户合作,始终很乐意进一步改进。\n\n谢谢!\nKristyna 💙","date":"2025-12-14","id":"2025-12-14-4-sidemail-mcp","taglineEn":"Let AI agents write & manage your SaaS emails","descriptionEn":"Sidemail Email MCP Server connects AI tools like Claude, VS Code, Cursor, or Windsurf to your email stack. Ask your agent to set up transactional email sending, write newsletters, manage contacts and groups, or verify sending domains – all via MCP, backed by Sidemail's proven email infrastructure.","topicsEn":["Email","SaaS","Developer Tools","GitHub"],"firstCommentEn":"Hi Hunters!\n\nI'm Kristyna, maker of Sidemail. I'm happy to share with you what we've been building. \n\nAI is on the rise, and so is MCP – letting developers plug AI tools into real-world infrastructure and save a lot of time and resources.\n\nTo make email delivery even easier, we built Sidemail Email MCP Server. \n\nIt enables you to programmatically send and manage transactional emails, contacts, sending domains, and Messenger features – right from MCP agent mode in VS Code, Claude, Cursor, Windsurf, and other MCP clients.\n\nThat means you can say things like:\n- \"Write a product update from our changelog and schedule a delivery to our paying customers for tomorrow at 2 PM.\"\n- \"Add these users that signed up today to the Early Adopters group.\"\n- \"Create a new sending domain for myproduct.com.\"\n\nThe AI agent handles the steps for you – it retrieves data, calls the right email API methods, and asks for confirmation before final actions. Keeping you in control.\n\nIt all runs on Sidemail's proven email infrastructure for reliable delivery, tracking, and scalability, so every message reaches its destination.\n\nIf you have any questions or thoughts to share, please do tell! We're used to working with customers and are always happy to improve further.\n\nThank you!\nKristyna 💙","review":"Sidemail MCP 巧妙地填补了 AI 时代邮件自动化的空白。随着 Claude、Cursor 等 AI 工具在开发工作流中的渗透,开发者需要这类工具能直接操作现实基础设施。Sidemail 通过 MCP 协议标准化了 AI 与邮件系统的交互,使 agent 能自主完成从撰写、调度到发送的完整邮件工作流。其核心优势在于降低了邮件自动化的技术门槛,同时保留了人工确认环节,平衡了自动化效率与安全性。目标用户涵盖需要频繁邮件通讯的 SaaS 创业者、营销技术团队和全栈开发者。产品的关键考验在于 MCP 生态的普及度,以及如何与既有邮件服务商竞争。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","social-community"],"normalizedTopics":["电子邮件","SaaS","开发者工具","Email"]},{"name":"VibeCSS","tagline":"Google Chrome AI设计助手","description":"在实时网页上原型设计和实验网页设计的最快方式。选择任意元素,用自然语言描述设计意图,观看 AI 即时应用 CSS 更改。无需代码。无需开发者工具。纯粹的创意流动。","votesCount":113,"commentsCount":4,"createdAt":"2025-12-12T08:01:00Z","website":"https://www.producthunt.com/r/6V7QXKH2AZBHMG?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/vibecss?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/89d27610-50a1-4bca-8ca6-c73198bda07e.png?auto=format","topics":["Chrome 扩展","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt!\n\n我是 Mr Violets。我热衷于构建能解决日常工作挫折的开发者工具。今天很高兴为大家分享最新项目:VibeCSS。\n\n众所周知,我们都花了太多时间在 Chrome 的\"检查元素\"中做原型设计,手动切换 CSS 复选框、猜测像素值,只为了验证一个想法是否可行。我构建 VibeCSS 就是为了用一个真正理解页面的智能助手来替代这些繁琐的操作。VibeCSS 完美适配想要快速原型设计或在实时网站上即时迭代新 UI 的设计师和开发者。\n\n与静态效果图不同,VibeCSS 让可以直接在实际 DOM 上迭代。想要测试新的设计风格、替换颜色或生成新的文案?在浏览器中几秒内即可完成。\n\n底层采用自定义原子状态引擎,自动处理特异性和冲突。这意味着可以自由原型设计,无需担心意外破坏页面布局。\n\n主要功能:\n纯粹创意模式:选择任意元素,用自然语言描述设计意图,观看 AI 即时应用 CSS 更改。无需代码。无需开发者工具。纯粹的创意流动。\n\n上下文感知:理解网站的目的、调色板、排版等信息,确保新元素看起来融合自然。\n\n智能重构:可以重写文案、替换图标、重构 HTML 结构。\n\n期待听到各位的反馈、bug 报告或创意功能建议!","date":"2025-12-12","id":"2025-12-12-8-vibecss","taglineEn":"AI Design Agent for Google Chrome","descriptionEn":"The fastest way to prototype and experiment with web design directly on live pages. Select any element, describe what you want in plain language, and watch AI instantly apply CSS changes. No code required. No dev tools needed. Just pure creative flow.","topicsEn":["Chrome Extensions","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hi Product Hunt,\n\nI'm Mr Violets. I love building developer tools that solve the specific frustrations that I face daily. Today I'm excited to share my latest project: VibeCSS.\n\nWe've all spent way too much time trying to prototype inside Chrome's \"Inspect Element,\" manually toggling CSS checkboxes and guessing pixel values just to see if an idea works. I built VibeCSS to replace that friction with an intelligent assistant that actually understands the page. VibeCSS is perfect for designers and developers who want to rapidly prototype ideas or new UI on live sites instantly.\n\nInstead of static mockups, Vibes lets you iterate on the actual DOM. Want to test a new design style, swap a color, or generate new copy? You can do it in seconds, directly in the browser.\n\nUnder the hood, it runs on a custom Atomic State Engine that handles specificity and conflicts automatically. Meaning you can prototype freely without accidentally breaking the rest of the layout.\n\nFeatures:\nPure Vibes: Select any element, describe what you want in plain language, and watch AI instantly apply CSS changes. No code required. No dev tools needed. Just pure creative flow.\n\nContext-Aware: It knows your site's purpose, color palette, typography, and more so new elements look like they belong there.\n\nSmart Refactoring: It can rewrite copy, swap icons, and restructure HTML.\n\nI'd be over the moon to hear your feedback, bug reports, or wild feature ideas.","review":"VibeCSS 通过 AI 技术革新了网页设计的原型制作流程。设计师和开发者长期面临的痛点是开发者工具的低效——手动调整 CSS 参数耗时且繁琐。VibeCSS 的创新之处在于将自然语言转化为 CSS 操作,让非技术背景的设计师也能快速实验设计想法。其核心竞争力包括即时反馈、上下文感知和智能冲突处理机制。产品定位清晰,瞄准产品设计师、UI 开发者和快速迭代的初创团队。作为 Chrome 扩展,集成度高,易于上手。潜在挑战在于 AI 对复杂设计需求的理解深度,以及与不同网站框架的兼容性问题。若能进一步完善跨浏览器支持和团队协作功能,市场潜力可观。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["Chrome 扩展","开发者工具","AI 与智能体","Chrome Extensions"]},{"name":"Buildstash","tagline":"组织、分享与分发软件二进制文件","description":"为任何平台存储和组织软件二进制文件,提供极其便捷的二进制管理功能,并能与现有工具链无缝集成。无论是开发移动或桌面应用、游戏还是嵌入式系统,都可以使用 Buildstash 安全地与团队或测试人员分享构建产物,通过自定义工作流引导构建过程,并向最终用户分发软件。","votesCount":109,"commentsCount":4,"createdAt":"2025-12-12T08:01:00Z","website":"https://www.producthunt.com/r/ZF5NIB5DPEKUPK?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/buildstash?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/dd78aee9-aa85-4ff9-9bc2-7156f6bf3d54.png?auto=format","topics":["软件工程","开发者工具","开发"],"firstComment":"大家好,Product Hunt 👋👋\n\n今天非常兴奋地向大家介绍 Buildstash。Buildstash 是一个用于管理和分享软件二进制文件的平台。\n\n我本人曾涉足游戏开发、移动应用和客户项目——每个团队都缺乏一个良好的二进制文件管理系统。通常只是随意丢在共享文件夹里(如果有人记得的话!)。\n\n市面上现有的\"构建产物\"管理工具主要聚焦于包仓库管理,却忽略了所有其他不以此方式部署的软件类型。\n\n这正是 Buildstash 看到的空白。它旨在组织和分发面向所有平台的软件二进制文件,无论它们如何部署。\n\n对于移动应用📱,它能处理集成的 Beta 版本分发。对于游戏🎮,处理面向 PC、游戏主机或 XR 平台的大型二进制文件也毫无压力。需要跨固件、应用和工具追踪二进制文件的嵌入式🤖团队也是绝佳的用户。\n\n我们刚刚开放注册,并且本周每天都在发布一项重要新功能——\n今天我们刚刚发布了✨门户✨功能——这是一个可自定义品牌的空间,可以在此分享构建流和发布版本,甚至可以直接嵌入到自己的网站上。\n\n欢迎分享任何反馈,非常期待听到大家的声音!谢谢 😆","date":"2025-12-12","id":"2025-12-12-9-buildstash","taglineEn":"Organize, share, and distribute your software binaries","descriptionEn":"Store and organize software binaries for any platform, with super accessible binary management which connects with the tools you already use. Whether you're working on mobile or desktop apps, games, or embedded - use Buildstash to share binaries securely with your team or with testers, guide builds through custom workflows, and distribute to users.","topicsEn":["Software Engineering","Developer Tools","Development"],"firstCommentEn":"Hey Product Hunt 👋👋\n\nExcited to share Buildstash with you today. Buildstash is a platform for managing and sharing software binaries.\n\nI've worked across games development, mobile apps, and client work myself - and every team I worked on had no good system for managing binaries. Often just dumped in a shared folder (if someone remembers!)\n\nExisting tools out there for managing \"build artifacts\" are really focused mainly on package repository management. But miss all the other types of software not being deployed that way.\n\nThat's the gap we seen for Buildstash. It's for organizing and distributing software binaries targeting all platforms, however they're deployed.\n\nFor mobile apps📱, it'll handle integrated beta distribution. For games🎮, it has no problem with massive binaries targeting PC, consoles, or XR. Embedded🤖 teams who are keeping track of binaries across firmware, apps, and tools are also a perfect fit.\n\nWe just launched open sign up, and have been launching another major feature every day this week -\nToday we just launched ✨Portals✨ - custom branded spaces where you can share build streams and releases, and even host on your website.\n\nPlease share any feedback, I'd love to hear it! Thanks 😆","review":"Buildstash 精准切入了一个被主流工具忽视的细分市场:通用软件二进制文件的全生命周期管理。传统 CI/CD 和包管理工具主要服务于可安装的软件包或容器镜像,而大量无法通过包管理器分发的软件(如游戏客户端、桌面应用、嵌入式固件)的构建产物管理长期处于混乱状态。Buildstash 的价值在于提供了一个统一的、平台无关的存储、组织和分发中心,尤其解决了跨平台开发团队(移动、游戏、嵌入式)在内部测试和外部分发环节的协作痛点。其\"门户\"功能进一步将分发渠道品牌化和外部化,提升了专业度。产品定位清晰,填补了市场空白,但挑战在于如何与现有开发工具链深度集成,以及说服习惯于\"共享文件夹\"模式的团队接受更结构化的管理方式。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","Development"]},{"name":"Macaly 3.0","tagline":"氛围编码中最佳的编辑体验","description":"Macaly 3.0 为氛围编码带来最佳的编辑体验。AI 可以帮助快速生成初稿,但完成设计是大多数人卡顿的地方。编辑模式、全局样式、资源库和变更审查等功能让用户对布局、视觉和结构拥有真正的控制力,确保网站和应用能够顺利完成。","votesCount":200,"commentsCount":23,"createdAt":"2025-12-11T08:01:00Z","website":"https://www.producthunt.com/r/ZBLKUG2P5ZEI3T?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/macaly?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/6a28d7b6-51cb-4311-9334-35e57551e3c2.png?auto=format","topics":["网站建设器","开发者工具","氛围编码"],"firstComment":"我最喜欢的技术栈是 Figma 和 Figma Sites。不过这可能是因为我们对 Figma 很熟悉。这个产品是针对新手的吗?","date":"2025-12-11","id":"2025-12-11-4-macaly-3.0","taglineEn":"The best editing experience in vibe-coding","descriptionEn":"Macaly 3.0 brings the best editing experience to vibe-coding. AI gets you the draft, but finishing is where most people get stuck. Edit Mode, Global Styles, Asset Library and Review Changes give you real control over layouts, visuals and structure so your sites and apps get finished.","topicsEn":["Website Builder","Developer Tools","Vibe coding"],"firstCommentEn":"My favorite stack is Figma Make and Figma Sites. But maybe it's because we're so fluent with figma.. In this is more for newbies?","review":"Macaly 3.0 瞄准了 AI 生成设计流程中的关键痛点——初稿生成虽然快速,但精细化编辑和完成才是真正的瓶颈。产品通过编辑模式、全局样式管理、资源库和变更审查等专业工具,将设计师的创意控制权放在首位,解决了纯 AI 生成工具粗糙、难以调整的问题。在氛围编码浪潮中,Macaly 3.0 定位清晰——既不是传统设计工具,也不是单纯的 AI 生成器,而是 AI 与人工精雕细刻的完美结合。其目标用户包括既想享受 AI 加速又需要精细控制的设计师。产品的核心竞争力在于降低设计师的编辑负担,加快项目完成速度。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","Website Builder","Vibe coding"]},{"name":"Cosmic AI Agents","tagline":"自主 AI 助手为你构建、编写和发布产品","description":"自主 AI 助手可以构建功能、修复错误和生成内容。给 agent 下达指令,它在后台自动工作来构建和优化应用及内容。代码 agent 创建隔离分支和 PR,内容 agent 生成符合风格的草稿。支持定时任务或按需执行,是管理 AI 工作团队的统一指挥中心。","votesCount":137,"commentsCount":13,"createdAt":"2025-12-09T08:01:00Z","website":"https://www.producthunt.com/r/WNAN2M7GWZ7FO5?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/cosmic?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/a561948b-0ef0-4742-9d2e-99faf00e4d9d.png?auto=format","topics":["API","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt!我们很高兴分享 Cosmic AI Agents——自主 AI 助手,可以构建功能、修复错误、生成内容和自动化工作流,让团队专注于最重要的事务。\n\nAI Agents 是什么?\n\nAI Agents 在后台独立工作,处理开发和内容任务。设置 agent 的指令后,它会自动执行——无需监督。\n\n两种 Agent 类型:\n\n🔧 代码 Agent——连接 GitHub 仓库,在隔离分支上工作,完成后创建 pull request。完美用于构建功能、修复错误、更新依赖和生成文档。\n\n📝 内容 Agent——大规模生成和管理 CMS 内容。分析现有内容以匹配风格,为审核创建草稿。适合博客文章、产品描述和内容活动。\n\n核心功能\n\n- 统一 AI Agents 中心——管理 AI 工作团队的指挥中心,实时状态更新\n- 隔离分支工作流——每个代码 agent 在自己的分支上工作,防止并行执行冲突\n- 定时自动化——支持按小时、日、周、月运行 agents(入门计划及以上)\n- 渐进式发现——agent 智能探索外部链接获取上下文\n- 邮件通知——agent 完成任务时获取 AI 生成的摘要\n- 保存提示词——一键重复使用最佳提示词\n\n为什么我们构建它\n\n开发团队在重复性任务上浪费无数时间——编写样板代码、更新依赖、生成内容、维护文档。我们希望为团队提供一个 AI 工作团队,自主处理这些任务,让开发者专注于解决复杂问题。\n\nAI Agents 目前处于测试版,现已可用。我们期待听到想法和反馈!\n\n了解更多:https://www.cosmicjs.com/blog/in...\n\n希望用 AI Agents 自动化哪些任务?在下方评论!👇","date":"2025-12-09","id":"2025-12-09-6-cosmic-ai-agents","taglineEn":"Autonomous AI that builds, writes, and ships for you.","descriptionEn":"Autonomous AI assistants that build features, fix bugs, and generate content for you. Give your agent instructions, and let it work in the background to build and optimize your application and content. Code agents create isolated branches and PRs. Content agents generate drafts matching your style. Schedule recurring tasks or run on-demand. Mission control for your AI workforce.","topicsEn":["API","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Product Hunt! We're excited to share Cosmic AI Agents - autonomous AI assistants that build features, fix bugs, generate content, and automate workflows while you focus on what matters most.\n\nWhat are AI Agents?\n\nAI Agents work independently in the background to handle development and content tasks. Set up an agent with instructions, and it gets to work - no supervision required.\n\nTwo Types of Agents:\n\n🔧 Code Agents - Connect to GitHub repositories, work in isolated branches, and create pull requests when done. Perfect for building features, fixing bugs, updating dependencies, and generating documentation.\n\n📝 Content Agents - Generate and manage CMS content at scale. They analyze your existing content to match your tone and create drafts for review. Ideal for blog posts, product descriptions, and content campaigns.\n\nKey Features\n\n- Unified AI Agents Hub - Mission control for your AI workforce with real-time status updates\n- Isolated Branch Workflow - Each code agent works on its own branch, preventing conflicts during parallel execution\n- Scheduled Automation - Run agents hourly, daily, weekly, or monthly (Starter plan+)\n- Progressive Discovery - Agents intelligently explore external links for context\n- Email Notifications - Get AI-generated summaries when agents complete tasks\n- Saved Prompts - Reuse your best prompts with one click\n\nWhy We Built This\n\nDevelopment teams spend countless hours on repetitive tasks - writing boilerplate code, updating dependencies, generating content, and maintaining documentation. We wanted to give teams an AI workforce that handles these tasks autonomously, so developers can focus on solving complex problems.\n\nAI Agents is currently in Beta and available now. We'd love to hear your thoughts and feedback!\n\nLearn more: https://www.cosmicjs.com/blog/in...\n\nWhat tasks would you automate with AI Agents? Drop a comment below! 👇","review":"Cosmic AI Agents 切中了开发团队的核心痛点——重复性工作占据大量时间,削弱专注力。通过引入代码和内容两类 agent,产品覆盖开发和运营全链路的自动化需求,实现了差异化的价值主张。其核心优势体现在隔离分支工作流和 GitHub 原生集成上,规避了并行执行的冲突风险,降低了集成复杂度。定时自动化、邮件通知等功能进一步完善了工作流体验。目标用户群体涵盖中小团队和创业公司的开发者与运营人员。该产品在 AI 工具赛道中定位清晰,但面临的主要挑战包括:生成代码质量的稳定性、内容风格匹配的准确度,以及与现有开发流程的深度整合程度。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","finance-business"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Kerno","tagline":"后端工程师的测试协驾驶助手","description":"再也不需要手动编写、维护后端测试!Kerno 在 IDE 内端到端地自动化集成测试。它理解代码库、生成有意义的测试、启动测试环境、执行测试,并提供即时审计报告以及早发现问题、验证代码变更。使用 Kerno:→ 从源头捕获破坏性变更 → 用测试数据增强现有代码生成循环 → 实时审计 AI 生成的代码 → 提高测试覆盖率","votesCount":128,"commentsCount":8,"createdAt":"2025-12-09T08:01:00Z","website":"https://www.producthunt.com/r/RHAU6BY5SIQZPU?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/kerno?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/95bc148c-15f7-4279-9bda-ac1aa933a443.png?auto=format","topics":["软件工程","开发者工具","人工智能"],"firstComment":"大家好 👋\n\n首先,我们想为所有喜欢编写、运行和维护测试的开发者道歉。😅\n\n手动集成测试已成为 AI 原生工作流中的反模式。虽然 AI 有助于快速原型设计或样板代码生成,但我们仍然不相信它能在没有测试或审计的情况下处理最关键的编码部分。代码生成速度很快,但测试和审计仍然缓慢、手动、不一致,即使如此,从问题到修复的反馈周期也需要数小时。\n\n测试的新时代\nKerno AI 完全加速了集成测试的整个工作流,在数秒内提供新代码和 AI 生成代码引入的行为变更审计,无需离开 IDE。\n\n开发者使用 Kerno:\n→ 从源头捕获破坏性变更\n→ 用测试数据增强现有代码生成循环\n→ 实时审计 AI 生成的代码\n→ 提高测试覆盖率\n\n测试应该是一个流畅的体验\n✅ IDE 原生 – 在 IDE 内运行测试,数秒内获得结果,无需等待 CI。\n\n✅ 上下文感知的测试生成 – Kerno 创建详细的图表,映射每段代码、依赖和业务逻辑,理解它们如何结合在一起,生成高质量测试。\n\n✅ 测试执行 – 进行代码变更时,Kerno 自主启动真实依赖、运行和更新测试,检测应用中的行为和逻辑变化。\n\n✅ 维护 – 随着代码库演进,Kerno 自动自我修复、添加和删除测试,确保测试套件永不过期。\n\n规格由你决定。AI 来构建。Kerno 来验证。有信心地发布软件。\n\n立即免费开始使用 Kerno.io。(使用代码 PH50 获得首月 50% 折扣)","date":"2025-12-09","id":"2025-12-09-8-kerno","taglineEn":"Testing Co-Pilot for Backend Engineers","descriptionEn":"Never manually write, or and maintain backend tests again! Kerno automates integration testing end-to-end inside your IDE. It understands your codebase, generates meaningful tests, spins up test environments, executes tests, and delivers instant audit reports to catch issues early, validate changes before committing your code. Use Kerno to: → Catch breaking changes at source → Augment current Code-Gen loops with test data → Audit AI generated code in real-time → Increase test coverage","topicsEn":["Software Engineering","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey PH 👋\n\nFirstly, we want to say sorry to all the developers who enjoy writing, running and maintaining tests. 😅\n\nManual Integration Testing is an antipattern in AI native workflows.\nWhile AI is helpful to do rapid prototyping or boilerplate tasks, we still do not trust it to do the most crucial parts of coding without testing or audits. Code generation moves at speed, but testing and auditing are still slow, manual, inconsistent, and even then, the feedback cycle from issue to fix takes hours.\n\nThe New Era of Testing\nKerno AI fully accelerates the entire workflow for integration testing, providing an audit of behavior changes introduced by new and AI generated code, in seconds, without leaving the IDE.\n\nDevelopers use Kerno to:\n→ Catch breaking changes at source \n→ Augment current Code Gen loops with test data \n→ Audit AI generated code in real time \n→ Increase test coverage \n\nTesting Should be an Experience Designed to Flow\n✅ IDE native – Run tests inside your IDE and get results in seconds without waiting on CI.\n\n✅ Context aware test generation – Kerno creates a detailed graph mapping every piece of code, dependency and business logic to understand how everything fits together and generate high quality tests.\n\n✅ Test execution – When you make a code change, Kerno autonomously spins up real dependencies, runs, and updates tests, and detects behavioural and logical changes in your app.\n\n✅ Maintenance – As your codebase evolves, Kerno automatically self-heals, adds and remove tests to ensuring your test suite never drifts out of sync.\n\nYou spec. AI Builds. Kerno Validates. Ship software with confidence.\n\nGet started for free today at Kerno.io. (Get 50% off your first month with code PH50)","review":"Kerno 精准切中了现代软件开发的核心痛点:AI 时代下测试的效率困境。随着 AI 代码生成工具的普及,开发速度显著提升,但测试和质量保证仍停留在手动阶段,形成了明显的工作流瓶颈。Kerno 通过 IDE 原生集成和自动化测试生成,将测试从耗时的手动操作转变为秒级反馈,特别是对 AI 生成代码的实时审计功能,解决了信任与效率的矛盾。产品的上下文感知能力和自动维护机制体现了深度的技术洞察。目标用户为重视代码质量的后端团队和使用 AI 编程助手的开发者。主要优势是降低测试成本、加速反馈循环;潜在挑战在于集成复杂性和对不同技术栈的适配广度。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"MultiDrive","tagline":"免费磁盘克隆、备份和安全擦除软件","description":"MultiDrive 是一款免费的 Windows 工具,支持克隆、备份和安全擦除整个磁盘。提供简洁的图形界面或强大的命令行工具,适应不同的工作流程。通过克隆磁盘轻松迁移到新电脑,备份数据防止丢失,安全擦除磁盘后安心出售旧设备。","votesCount":350,"commentsCount":66,"createdAt":"2025-12-08T08:01:00Z","website":"https://www.producthunt.com/r/5SX6OFGFCOMBJY?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/multidrive?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/9b3a39cd-c473-431e-9d8f-ec1142b26802.png?auto=format","topics":["Windows","生产力","开发者工具"],"firstComment":"界面非常简洁,磁盘管理功能强大!请问只支持 Windows 吗?","date":"2025-12-08","id":"2025-12-08-0-multidrive","taglineEn":"Free disk cloning, backup and erasing software","descriptionEn":"MultiDrive is a free Windows tool that lets you clone, back up, and securely wipe entire drives. Use a simple GUI or a powerful CLI — whatever fits your workflow. Move to a new PC by cloning your drive, back up your data to avoid loss, and safely wipe a disk before selling it.","topicsEn":["Windows","Productivity","Developer Tools"],"firstCommentEn":"Very clean, simple hard drive management! Is it only for Windows??","review":"MultiDrive 抓住了 Windows 用户在磁盘管理上的痛点。无论是系统迁移、数据备份还是设备回收前的安全擦除,这都是高频实际需求,但大多数用户缺乏专业工具。MultiDrive 的核心竞争力在于其免费模式和双界面设计——图形界面降低了普通用户的使用门槛,命令行则为高级用户和开发者提供灵活性。产品定位清晰,目标用户涵盖个人电脑升级者、IT 运维人员和重视数据安全的企业用户。相比商业磁盘管理软件,免费策略有助于快速获得用户认可。不过在市场竞争中,与专业级付费工具的功能差异和用户信任建立仍是主要挑战。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","data-analytics"],"normalizedTopics":["Windows","生产力与办公","开发者工具"]},{"name":"Marble","tagline":"超简洁无头 CMS","description":"一款简洁易用的协作型 CMS,专为发布文章、更新日志和产品动态而设计。帮助团队更快地交付内容。","votesCount":217,"commentsCount":27,"createdAt":"2025-12-08T08:01:00Z","website":"https://www.producthunt.com/r/MERHA45KUFYCPE?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/marble-7?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/374f6f99-2cd3-4837-b91a-ffa29f586065.png?auto=format","topics":["SaaS","开发者工具","人工智能","GitHub"],"firstComment":"Marble 提供了管理内容的最简单方式。在我们美观易用的仪表板中,创建文章、与团队协作、利用 AI 改进内容。通过 webhook 功能实现页面刷新、发送通讯等更多可能性。开发 Marble 的过程充满乐趣和收获,我们非常感谢 Upstash、Neon 和 Vercel 的支持。","date":"2025-12-08","id":"2025-12-08-3-marble","taglineEn":"Super simple headless CMS","descriptionEn":"A simple, collaborative CMS for publishing articles, changelogs, and product updates. Designed to help you ship content faster!","topicsEn":["SaaS","Developer Tools","Artificial Intelligence","GitHub"],"firstCommentEn":"With Marble, we've built the simplest way to manage your content. Create posts, collaborate with your team, and use AI to write better content, all from our beautiful, easy-to-use dashboard. Go even further with webhooks to refresh your page, send out newsletters, and more! Developing Marble has been incredibly fun and rewarding, and we are very grateful for the support we received from Upstash, Neon, and Vercel!","review":"Marble 瞄准内容管理的高效性痛点,以极简主义设计降低使用门槛。无头 CMS 架构使其适配多种前端应用,符合现代开发流程。产品亮点包括协作功能、AI 辅助写作和 webhook 集成能力,覆盖内容创作、发布、分发的完整流程。目标用户为需要频繁发布产品更新、技术博客的开发团队和 SaaS 产品团队。与同类产品相比,Marble 强调易用性和开发友好性,集成主流工具链。其核心竞争力在于简洁直观的界面和 AI 助力内容创作的组合。潜在挑战包括与重型 CMS 的功能深度对标,以及如何在小众市场中建立品牌认知度。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["SaaS","开发者工具","AI 与智能体"]},{"name":"RightNow","tagline":"GPU 核心开发的 AI 代码编辑器","description":"RightNow AI 是首款 GPU 原生代码编辑器,支持 CUDA、Triton、CUTE 和 Tilelang。功能包括具有硬件感知能力的 agent AI(Forge)、在 86 个以上 NVIDIA 架构上拥有 98% 精度的周期级精确 GPU 模拟器、配备 Nsight Compute 集成的实时性能分析,以及逐行性能分析。在单一编辑器中编写、优化和分析任何 DSL 的 GPU 核心。支持所有 NVIDIA GPU,免费下载,专业功能另行提供。","votesCount":185,"commentsCount":9,"createdAt":"2025-12-08T08:01:00Z","website":"https://www.producthunt.com/r/3FTP4BMWRY2DRM?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/rightnow-ai?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/1c559e9c-9379-4bde-bb99-48a3352ba480.png?auto=format","topics":["开发者工具","人工智能","科技"],"firstComment":"GPU 开发不应该需要在五个工具间来回切换才能理解核心为何运行缓慢。\n\nRightNow AI 是首款 GPU 原生代码编辑器。它将实时性能分析、周期级精确模拟器以及真正理解 GPU 核心的 AI 整合在一个地方。\n在代码中直接进行性能分析。在没有硬件的情况下模拟 H100。用纯英文提出优化问题。\n\n支持 CUDA、CUTE、Triton 和 Tilelang。\n\n免费下载。试一试,如有功能需求请加入我们的 Discord:https://discord.com/invite/sSJqg...","date":"2025-12-08","id":"2025-12-08-4-rightnow","taglineEn":"AI code editor for GPU kernel development","descriptionEn":"RightNow AI is the first GPU-native code editor supporting CUDA, Triton, CUTE, and Tilelang. Features agentic hardware-aware AI (Forge), cycle-accurate GPU emulator with 98% accuracy across 86+ NVIDIA architectures, real-time profiling with Nsight Compute integration, and line-by-line performance analysis. Write, optimize, and profile GPU kernels in any DSL, all in one editor. Supports all NVIDIA GPUs Free to download with pro features available.","topicsEn":["Developer Tools","Artificial Intelligence","Tech"],"firstCommentEn":"GPU development shouldn't require switching between five tools just to understand why your kernel is slow\n\nRightNow AI is the first GPU-native code editor. It brings real-time profiling, a cycle-accurate emulator, and AI that actually understands GPU kernels—all in one place.\nprofile without leaving your code. emulate H100s without the hardware. ask optimization questions in plain english\n\nWe support CUDA, CUTE, Triton, and Tilelang\n\nfree to download. give it a try, and join our discord if you have feature requests: https://discord.com/invite/sSJqg...","review":"RightNow AI 针对 GPU 开发工作流碎片化问题提出了整合方案。传统 GPU 核心开发需要开发者在代码编辑器、性能分析工具、模拟器等多个工具间切换,降低了开发效率。该产品创新地整合了代码编写、实时性能分析、周期级精确模拟和 AI 优化建议,形成了闭环的开发体验。其核心价值在于硬件感知的 AI agent,能够理解 CUDA、Triton 等多种 GPU 编程范式,提供智能化的优化建议。目标用户包括 GPU 核心开发工程师、 AI 框架开发者和高性能计算研究者。产品免费下载策略有利于快速获取用户。主要挑战在于如何保证多架构上的模拟精度,以及 AI 建议的实用性和准确性。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","social-community"],"normalizedTopics":["开发者工具","AI 与智能体","社交、社区与内容","Tech"]},{"name":"CUDA 13.1","tagline":"2006 年以来最大规模的 CUDA 扩展","description":"NVIDIA CUDA 13.1 推出了该平台二十年来最大规模、最全面的更新。","votesCount":149,"commentsCount":3,"createdAt":"2025-12-08T08:01:00Z","website":"https://www.producthunt.com/r/AOFT3QUDIXMMJR?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/nvidia?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/ae11b337-a3b8-4835-96f1-3718fc2c5e57.jpeg?auto=format","topics":["硬件","开发者工具","人工智能"],"firstComment":"大家好!\n\nNVIDIA 表示 CUDA 13.1 是自 2006 年推出以来 CUDA 最大规模的扩展。\n\nCUDA 13.1 引入了 CUDA Tile,一种新的编程模型,能够抽象化复杂的硬件细节,如 Tensor Cores,使开发者更容易为现代 AI 工作负载编写高效代码。\n\n碰巧我正在阅读詹森的传记。CUDA 改变了 NVIDIA,也改变了世界。这次更新将是那个故事的下一个篇章 :)","date":"2025-12-08","id":"2025-12-08-5-cuda-13.1","taglineEn":"The biggest CUDA expansion since 2006","descriptionEn":"NVIDIA CUDA 13.1 introduces the largest and most comprehensive update to the CUDA platform since it was invented two decades ago.","topicsEn":["Hardware","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hi everyone!\n\nNVIDIA stated that CUDA 13.1 is the biggest expansion of CUDA since it launched in 2006.\n\nCUDA 13.1 introduces CUDA Tile, a new model that abstracts away complex hardware details, like Tensor Cores, making it easier to write efficient code for modern AI workloads.\n\nI happen to be reading Jensen's biography. CUDA changed NVIDIA, and it also changed the world. This update will be the next chapter of that story :)","review":"CUDA 13.1 代表了 GPU 计算生态的重大演进。作为 AI 和高性能计算的基础设施,CUDA 的每次升级都会对全球开发者社区产生深远影响。此版本通过引入 CUDA Tile 等新抽象模型,显著降低了现代 AI 工作负载的开发复杂度,让工程师能够更专注于算法而非硬件细节。这对加速 AI 应用开发、降低企业部署成本具有重要意义。主要受益群体包括 AI 研究人员、深度学习工程师和 HPC 专业人士。作为二十年来最大规模的平台更新,CUDA 13.1 有望进一步巩固 NVIDIA 在 AI 计算领域的领导地位,同时为整个生态链带来技术红利。","primaryCategory":"developer-tools","categories":["developer-tools","hardware-platforms","ai-agents"],"normalizedTopics":["硬件、移动与平台","开发者工具","AI 与智能体"]},{"name":"BrowserBook","tagline":"浏览器自动化集成开发环境","description":"BrowserBook 是一款基于 AI 的浏览器自动化集成开发环境,用于构建快速、可靠的浏览器自动化任务。它将 Jupyter 风格的笔记本与上下文感知的 AI 编码助手和内联浏览器相结合,使开发者可以在一个地方编写、测试和调试自动化脚本。内置身份验证管理、数据提取、截图工具和 API 部署功能,能够将自动化任务从想法快速转化为生产级别的解决方案,通常只需几分钟而非数小时。","votesCount":125,"commentsCount":19,"createdAt":"2025-12-08T08:01:00Z","website":"https://www.producthunt.com/r/ME4GP6ZXKKFS4Z?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/browserbook?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/e4ee21a7-216c-4ce7-9c56-f1e578b2522f.png?auto=format","topics":["开发者工具","人工智能","Vibe 编码"],"firstComment":"大家好,Product Hunt!👋 我是 Chris,BrowserBook 的联合创始人,和队友 Jorrie 以及 Evan 一起来这里。\n\n很高兴为大家介绍 BrowserBook,这是一款基于 AI 的集成开发环境,专为构建可靠、确定性的浏览器自动化任务而设计。它结合了笔记本风格的界面、内联浏览器和上下文感知的编码助手,帮助开发者更快地编写、运行和迭代 Playwright 脚本,内置了截图、数据提取和托管身份验证等工具。\n\n为什么要构建它\nJorrie 和我去年夏天创办了一家医疗保健自动化公司,那段时间我们花费大量精力用自定义的浏览器 agent 构建后台工作流(如保险跟踪、医学编码等)。在这个过程中,我们遇到了浏览器 agent 的四个主要问题:\n\n💰 成本太高——由于需要提供大量工作流上下文,我们很快就消耗完了 token\n🐢 速度太慢——所有上下文导致每个请求的延迟非常高\n😬 可靠性不足——即使有详细的指令和工具,agent 仍然在多步骤任务上出现偏差\n🐞 调试困难——当出现偏差时,没有明确的根本原因,通常只能靠反复试错来解决。\n\n我们发现自己在为每个工作流步骤给 agent 分配脚本执行,最终得出一个结论:编写脚本才是更好的解决方案。我们决定把 agent 放在编码步骤而不是执行步骤,利用大语言模型根据 DOM 上下文快速生成脚本,最终构建了 BrowserBook——这是我们一直希望拥有的工具。\n\n那么包含哪些功能呢?\n核心 IDE 体验专为网页自动化而设计,其功能包括:\n\n🌐 完全交互式的内联浏览器实例,可以点击按钮直接针对其运行 Playwright 自动化\n📒 Jupyter 笔记本风格的界面,可以只运行自动化的一部分,而不是每次都运行全部\n🤖 上下文感知的编码助手,无需手动查找选择器\n🤝 常见操作的辅助函数,如截图、数据提取,以及支持用户名/密码和 TOTP 的托管身份验证配置文件\n\n构建完成后,可以通过 IDE 手动运行自动化任务,也可以通过 API 供外部 agent 或应用使用!\n\n我们最初的用例是医疗保健自动化,但如果正在构建自动化测试、编写基于浏览器的 RPA 工作流、进行网页抓取,或有需要在网络上执行确定性操作的 agent,欢迎试用——非常期待听到反馈!\n\n如何使用?\n可以在网站上下载 Mac 版本:https://browserbook.com\n\n谢谢,\nChris","date":"2025-12-08","id":"2025-12-08-9-browserbook","taglineEn":"The Browser Automation IDE","descriptionEn":"BrowserBook is an AI-powered IDE for building fast, reliable browser automations. It pairs a Jupyter-style notebook with a context-aware AI coding assistant and an inline browser, enabling developers to write, test, and debug automations all in one place. With built-in auth management, data extraction, screenshot tools, and API deployment, you can go from idea to production-ready automation in minutes, not hours.","topicsEn":["Developer Tools","Artificial Intelligence","Vibe coding"],"firstCommentEn":"Hey Product Hunt! 👋 I'm Chris, co-founder of BrowserBook here with teammates Jorrie and Evan.\n\nWe're excited to share BrowserBook, an AI-powered IDE for building reliable, deterministic browser automations. It combines a notebook-style interface, an inline browser, and a context-aware coding assistant to help developers write, run, and iterate on Playwright scripts faster with built-in tools for screenshots, data extraction, and managed auth.\n\nWhy we built this\nJorrie and I started a healthcare automation company last summer, where we spent lots of time building back-office workflows (think insurance followup, medical coding, etc.) with custom browser agents. During this time, we ran into four major issues with browser agents:\n\n💰 They're expensive - we burned through tokens with all the workflow context we needed to provide\n🐢 They're slow - all that context let to super high latency on each request\n😬 They're unreliable - even with detailed instructions and tools, agents still drifted on multi-step tasks\n🐞 They're impossible to debug - when they drifted, there was no clear root cause; we often resorted to trial-and-error to resolve issues.\n\nWe found ourselves giving our agents scripts to execute at each step of the workflow, and eventually came to the conclusion that scripting was just the better solution. We decided to put the agent at the coding step rather than the execution step, using LLMs to rapidly write scripts based on DOM context, and ultimately built BrowserBook as the tool we wished we had.\n\nSo what's included?\nThe core IDE experience is purpose-built for web automation; some of its features include:\n\n🌐 A fully-interactive inline browser instance that you can run Playwright automations against with the click of a button\n📒 A Jupyter-notebook-style interface, so you can just run parts of your automation instead of the whole thing every time\n🤖 A context-aware coding assistant so you don't have to go digging for selectors\n🤝 Helper functions for common actions like taking screenshots, data extraction, and managed auth profiles supporting username/password and TOTP for authenticated workflows\n\nWhen you're done building, you can run your automation manually through the IDE or via API for use in external agents or apps!\n\nOur initial use case was healthcare automation, but if you're building automated tests, writing browser-based RPA workflows, web scraping, or have an agent that needs to perform deterministic actions on the web, give us a try - we'd love to hear what you think!\n\nHow do I use it?\nYou can download for Mac at our website: https://browserbook.com\n\nCheers,\nChris","review":"BrowserBook 巧妙地解决了浏览器自动化领域长期存在的痛点。传统的 agent 方法因为高成本、低效率和低可靠性而饱受诟病,而 BrowserBook 通过将 AI 能力从执行层转移到编码层,创新性地重新定义了自动化的开发方式。其核心竞争力在于 Jupyter 风格的笔记本交互、内联浏览器和上下文感知的编码助手的完美结合,大幅降低了开发者的学习曲线和调试成本。该产品面向的是医疗保健、金融、电商等需要复杂多步骤网页自动化的行业开发者,以及需要网页爬取和 RPA 的企业用户。相比代码编辑器和传统 RPA 平台,BrowserBook 在易用性和灵活性上明显更优。其潜在的挑战在于市场教育成本和与现有工作流的集成。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["开发者工具","AI 与智能体","Vibe 编码","Vibe coding"]},{"name":"Inference Engine by GMI Cloud","tagline":"快速的多模态原生规模化推理","description":"GMI Inference Engine 是一个多模态原生推理平台,在统一的处理流程中运行文本、图像、视频和音频。提供企业级扩展能力、可观测性、模型版本管理,以及快 5-6 倍的推理速度,让多模态应用能够实时运行。","votesCount":186,"commentsCount":12,"createdAt":"2025-12-07T08:01:00Z","website":"https://www.producthunt.com/r/ZQ4WFBPBARCN4B?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/gmi-cloud?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/7acfa732-eaa6-4580-a10a-d7eb3a4c95ec.png?auto=format","topics":["开发者工具","人工智能"],"firstComment":"看起来更多是关于规模化生成创意内容,哪部分是关于应用程序的呢?","date":"2025-12-07","id":"2025-12-07-1-inference-engine-by-gmi-cloud","taglineEn":"Fast multimodal-native inference at scale","descriptionEn":"GMI Inference Engine is a multimodal-native inference platform that runs text, image, video and audio in one unified pipeline. Get enterprise-grade scaling, observability, model versioning, and 5–6× faster inference so your multimodal apps run in real time.","topicsEn":["Developer Tools","Artificial Intelligence"],"firstCommentEn":"It seems more about the creatives generation on scale, which part is about apps?","review":"GMI Inference Engine 针对多模态 AI 应用的推理瓶颈提出了系统解决方案。当前许多 AI 应用需要处理混合类型的数据(文本、图像、视频、音频),传统的单模态推理架构在效率和一致性上存在明显短板。该产品的核心价值在于统一的多模态处理流程与显著的性能提升(5-6 倍加速),这对实时 AI 应用至关重要。企业级功能(可观测性、模型版本管理、弹性扩展)则确保了生产环境的稳定性。目标用户包括构建多模态应用的开发团队和 AI 初创企业。产品的竞争力主要体现在性能优化和工程完整性,但需要在市场教育和开发者生态建设方面加强力度。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","design-creative"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"TruGen AI","tagline":"用类人视频 Agent 赋予 AI 生命","description":"TruGen AI 提供超逼真的视频 Agent,能够实时看、听、记忆和行动——将对话转变为自然、类人的互动。具备可扩展性、安全性和 API 优先的设计,可跨行业和语言适配。快速、安全且易于集成。","votesCount":295,"commentsCount":112,"createdAt":"2025-12-06T08:01:00Z","website":"https://www.producthunt.com/r/QG6KYUTMQVOMI6?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/trugen-ai?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/e0e1e1c4-1cb9-46fa-b8e5-b3cbbf270329.gif?auto=format","topics":["开发者工具","人工智能","视频"],"firstComment":"大家好,Product Hunt!👋 很高兴为大家介绍 TRUGEN AI——一个构建视频 Agent 的平台。\n\n过去的一年里,我们团队一直致力于打磨一个始终坚信的理念:真正感受如人的 AI Agent。而今天……我们终于准备好与世界分享它了。\n\n🔥 在此体验实时演示:https://trugen.ai\n🛠 构建专属的 AI 视频 Agent:https://app.trugen.ai\n\n💡 为什么是视频 Agent?\n当今大多数 AI Agent 被困在聊天机器人或语音机器人中。但说实话:人类是面对面的沟通者。我们通过在场感、眼神接触和面部表情建立连接。而不是通过文本气泡或浮动的声音——这就是我们的本能。\nAI 的问题不在于它不够聪明……👉 而在于它还不够人性化。\n所以我们着手解决缺失的环节:真实的人脸。\n\n人机沟通的下一个前沿是视频,我们很荣幸走在这一变革的最前沿。\n我们的视频 Agent 融合深度智能与类人在场感,创造出感觉自然、富有表现力和引人入胜的交互。\n\n🤖 有什么与众不同之处?\n✅ 超逼真的虚拟人物——具有表现力、看起来和感觉都很真实的人脸\n✅ 视觉能力:能看、能识别面孔,甚至能跟踪屏幕共享内容。\n✅ 亚秒级延迟——闪电般快速的响应,模拟真实对话流畅度\n✅ Agent 功能——行动、RAG、推理、记忆、工具等\n✅ 开发者优先设计——易于集成到任何产品或工作流中\n✅ 全天候就绪——24/7 随时为用户提供帮助。\n\n🚀 结果是什么?\n一个全新的与 AI 交互方式。更直观、更可信、本质上更具人性的体验。\n是时候为 AI Agent 配上一张真实的人脸,让用户能够真正建立连接。\n\n想象一下可能性:\n✅ 24/7 的 AI 支持 Agent,提供即时、类人的协助\n✅ 能处理销售线索筛选的 AI SDR\n✅ 用于学习的 AI 教练与角色扮演教师\n✅ HR 面试官,可即刻筛选候选人并确定其是否适合后续轮次。\n以及更多应用……\n\n等不及要看到每个人用这个工具构建什么了!\n\n🎉 AI 沟通的未来终于来临——而且看起来非常人性化。\n\n我们迫不及待地想看到大家的创作,也期待沿途获得大家的反馈!","date":"2025-12-06","id":"2025-12-06-0-trugen-ai","taglineEn":"Bringing AI to Life with Human-Like Video Agents.","descriptionEn":"TruGen AI delivers hyper-realistic Video Agents that see, hear, remember, and act in real time - transforming conversations into natural, human-like interactions. Scalable, secure, and API-first, it adapts across industries and languages. Fast, secure and easy to integrate.","topicsEn":["Developer Tools","Artificial Intelligence","Video"],"firstCommentEn":"Hey Product Hunt 👋 We're excited to introduce TRUGEN AI - a platform for building Video Agents.\n\nFor the past year, our team has been heads-down building something we've always believed in: AI agents that actually feel human. And today… we're finally ready to share it with the world.\n\n🔥 Try the live demo here: https://trugen.ai\n🛠 Build your own AI video agent: https://app.trugen.ai\n\n💡 Why Video Agents?\nMost AI agents today are trapped in either chatbots or voicebots. But let's face it: Humans are face-to-face communicators. We connect through presence, eye contact, and facial expressions, Not with text bubbles or floating voices, it's how we're wired.\nThe problem with AI isn't that it's not smart enough… 👉 It's that it hasn't been human enough.\nSo we set out to solve the missing link: Human Face\n\nThe next frontier of human–AI communication is video, and we're excited to be at the forefront of it.\nOur video agents blend deep intelligence with human-like presence, creating interactions that feel natural, expressive, and engaging.\n\n🤖 What makes us special?\n✅ Hyper-realistic avatars - Expressive Human Like faces that look and feel real\n✅ Vision: They can see, recognize faces, and even follow along on screen shares.\n✅ Sub-1 second latency - Lightning-fast responses that mimic real conversation flow\n✅ Agentic - Actions, RAG, Reasoning, Memory, Tools and more\n✅ Developer-first design - Easy to integrate into any product or workflow\n✅ Always On - Ready 24/7 to help your customers.\n\n🚀 The result?\nA whole new way to interact with AI. A more intuitive, trustworthy, and inherently human experience.\nIt's time to give your AI agents a face that users can actually connect with.\n\nImagine the possibilities:\n✅ 24/7 AI support agents that provide instant, human-like assistance\n✅ AI SDRs that handle lead qualification\n✅ AI trainers & role-play coaches for learning\n✅ HR interviewers to screen candidates instantly and qualifying them for further rounds.\nAnd many more..\n\nCan't wait to see what everyone will build with this!\n\n🎉 The future of AI communication is finally here - and it looks human.\n\nWe're so excited to see what you build and would love your feedback along the way!","review":"TruGen AI 直击当今 AI 交互的核心痛点——缺乏人性化的面对面沟通体验。相比传统聊天机器人或语音助手,视频 Agent 通过虚拟人物的视觉呈现、实时视觉识别和亚秒级响应,创造出更自然、更信任的互动模式。该产品特别适合客服支持、销售筛选、培训指导和人力资源等需要人性化互动的场景。其核心竞争力在于超逼真的虚拟形象、完整的 Agent 功能体系和开发者友好的 API 设计。产品面临的主要挑战是虚拟人物的逼真度评估、跨文化和多语言适配的一致性,以及用户对 AI 视频 Agent 接受度的市场验证。长期看,该赛道潜力巨大,但需要在技术突破和用户心理适应之间找到平衡。","primaryCategory":"developer-tools","categories":["developer-tools","design-creative","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","设计、图片与视频"]},{"name":"Browser Use Skills","tagline":"用一个提示词将任何网站转变为可靠的 API","description":"Browser Use Skills 让开发者无需官方 API 支持,就能将任何网站转变为可复用的 API。只需一个提示词或一次演示,系统即可反向工程 HTTP 调用,生成简洁的 API。无论是下载音乐、批量获取数千条帖子、在 Suno 上生成歌曲、从社交媒体抓取视频,还是在 Salesforce 中创建销售线索,都能轻松实现。","votesCount":187,"commentsCount":26,"createdAt":"2025-12-06T08:01:00Z","website":"https://www.producthunt.com/r/EBXGG6UC342DBL?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/browser-use?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/4ca817a8-650e-42ee-bb30-f864d06147c3.png?auto=format","topics":["API","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt!👋\n\n我们开发 Browser Use Skills 是因为不断遭遇同一个问题:所需的 API 根本不存在。\n\nSuno AI?没有公开 API。YouTube?限流且限制众多。我们想要自动化的工具中,一半都没有提供编程接口。\n\n所以我们想到:如果能让 AI agent 学会一次操作,然后自动反向工程整个流程,生成可复用的 API,会怎样?\n\n这正是 Browser Use Skills 所做的事。\n\n设定目标,录制操作过程(或由 agent 自主学习),我们就能将其转化为托管端点,可随时调用。\n\n我们内部已经用了数周!已经为 20 多个我们从未想过能自动化的网站构建了 API。\n\n期待反馈。首个要构建的 API 是什么?","date":"2025-12-06","id":"2025-12-06-4-browser-use-skills","taglineEn":"Turn any website into a reliable API with 1 prompt","descriptionEn":"Browser Use Skills lets you turn any website into a reusable API, no official API required. 1 prompt or 1 demonstration and we reverse-engineer the HTTP calls into a clean API. Need to download a song? Get 1000 posts in seconds? Generate songs on Suno? Pull videos from social media? Create leads in Salesforce?","topicsEn":["API","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Product Hunt! 👋\n\nWe built Browser Use Skills because we kept running into the same problem: the API we needed didn't exist.\n\nSuno AI? No public API. YouTube? Rate-limited and restrictive. Half the tools we wanted to automate had no programmatic access at all.\n\nSo we asked: what if you could just show an AI agent how to do something once, and it would reverse-engineer the entire flow into a reusable API?\n\nThat's exactly what Browser Use Skills does.\n\nYou set a goal, record yourself doing the task (or let our agent figure it out), and we turn that into a hosted endpoint you can call whenever you want.\n\nWe've been using this internally for weeks! we've already built 20+ APIs for sites we never thought we'd be able to automate.\n\nWould love your feedback. What's the first API you'd build?","review":"Browser Use Skills 巧妙地解决了开发者面临的 API 缺失难题。在当今生态中,许多热门服务要么缺乏公开 API,要么施加严格限制,严重阻碍了集成和自动化。该产品通过 AI agent 的反向工程能力,让开发者能够将任何网站快速转化为可编程接口,大幅降低了集成成本。其核心创新在于\"一次演示即可学习\"的模式,使技术门槛显著降低。目标用户涵盖全栈开发者、API 集成商和自动化平台构建者。产品的真正价值在于赋能开发者绕过官方限制,提升开发效率。潜在风险包括网站反爬虫策略的应对和法律合规问题。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","finance-business"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Documentation.AI","tagline":"使用 AI 轻松构建和更新产品文档","description":"使用 AI 创建精美、始终保持最新的产品文档。内置 AI agent 帮助撰写和维护内容,连接开发和支持工具以获取上下文信息。支持网页编辑、AI agent 或文档即代码方式编辑。内置助手为用户提供即时、有引用来源的回答,降低支持负担。","votesCount":444,"commentsCount":61,"createdAt":"2025-12-05T08:01:00Z","website":"https://www.producthunt.com/r/I5HGT62NEWZBOY?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/documentation-ai?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/1f62c3cc-4a56-4688-b004-6ec9ad70ac73.png?auto=format","topics":["开发者工具","人工智能"],"firstComment":"This looks so clean and easy to start with. Really great stuff team.","date":"2025-12-05","id":"2025-12-05-0-documentation.ai","taglineEn":"Build and update product documentation effortlessly with AI","descriptionEn":"Create beautiful, always-current product documentation with AI. A built-in AI agent helps you write and maintain content and connects to dev and support tools for context. Edit via web, AI agent, or docs-as-code. A built-in assistant gives users instant, cited answers, reducing support load.","topicsEn":["Developer Tools","Artificial Intelligence"],"firstCommentEn":"This looks so clean and easy to start with. Really great stuff team.","review":"Documentation.AI 针对产品文档维护这一长期痛点提供了创新解决方案。传统上,产品文档往往滞后于产品更新,成为支持团队和用户的痛点。该产品通过 AI agent 自动化文档的生成和更新流程,同时集成开发和支持工具,确保文档始终与产品保持同步。其核心优势包括多渠道编辑灵活性(网页、AI、代码)和内置智能助手,可降低支持成本。目标用户为 SaaS 公司、开发工具厂商和技术团队。产品设计简洁易用,降低了用户的学习成本。潜在挑战在于如何确保 AI 生成的文档准确性和专业性,以及在不同类型产品文档中的适配程度。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"8bitcn/ui","tagline":"适配任何框架的 8 位像素风格 UI 组件","description":"一套复古设计、无障碍访问的组件库和代码分发平台。开源项目,代码公开。","votesCount":327,"commentsCount":24,"createdAt":"2025-12-05T08:01:00Z","website":"https://www.producthunt.com/r/KMXWABRQLUE5JD?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/8bitcn?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/7905c9a8-8684-4259-b742-990f0e070d22.jpeg?auto=format","topics":["开源","开发者工具","GitHub"],"firstComment":"极客警报:@orcdev 将 @shadcn/ui 改造成了一个精美的 8 位像素风格组件库。\n\n对我来说,这是一见钟情。\n\n该项目得到了 @Vercel 开源计划的支持,由 @Shadcnblocks、@Trigger.dev 等赞助;完全免费且开源。冲啊!","date":"2025-12-05","id":"2025-12-05-1-8bitcn/ui","taglineEn":"8‑bit UI components that work in any framework","descriptionEn":"A set of retro-designed, accessible components and a code distribution platform. Open Source. Open Code.","topicsEn":["Open Source","Developer Tools","GitHub"],"firstCommentEn":"nerd alert: @orcdev turned @shadcn/ui into a beautiful 8-bit styled component library.\n\nfor me, it's an instant crush.\n\nthe project is backed by @Vercel's OSS program, sponsored by @Shadcnblocks, @Trigger.dev, and more; free and open-source. lfg!","review":"8bitcn/ui 将复古像素美学与现代组件开发完美结合,打造出一套独特的开发者工具。产品核心竞争力在于其跨框架兼容性和高度可访问性设计,解决了开发者在追求视觉特色与功能完整性之间的平衡问题。得到 Vercel 等大厂支持的开源项目,具有可信度高、社区活跃的优势。目标用户涵盖追求设计创意的前端开发者、独立开发者和设计工程师。像素风格的设计虽然视觉突出,但可能面临在专业商业项目中应用的普适性问题。项目的长期价值取决于社区贡献活跃度和框架兼容性维护。","primaryCategory":"developer-tools","categories":["developer-tools"],"normalizedTopics":["开发者工具","Open Source"]},{"name":"Gemini 3 Deep Think by Google","tagline":"谷歌最强推理模型,深度理解逻辑问题","description":"Gemini 3 Deep Think 推出谷歌迄今最先进的推理模型,专为解决复杂的数学、科学和逻辑挑战而构建。通过多假设并行推理,提供更深层次的理解和类人洞察力。现已向 Gemini 应用中的谷歌 AI Ultra 订阅用户开放。","votesCount":254,"commentsCount":10,"createdAt":"2025-12-05T08:01:00Z","website":"https://www.producthunt.com/r/HJ6EAKHTDY3PLR?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/gemini-3-deep-think-by-google?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/e6337667-4d5e-411b-bee8-e6afb4c4da37.png?auto=format","topics":["生产力","开发者工具","人工智能"],"firstComment":"大家好!\n\n谷歌刚刚推出 Gemini 3 Deep Think!AI 推理能力的重大飞跃。\n专为处理复杂的数学、科学和逻辑任务而设计,它通过并行推理同时探索多个思路,使 AI 更接近类人理解能力。\n\nUltra 订阅用户现在可以在 Gemini 应用中的 Gemini 3 Pro → Deep Think 下体验。","date":"2025-12-05","id":"2025-12-05-2-gemini-3-deep-think-by-google","taglineEn":"Google's best model for logical thinking and understanding","descriptionEn":"Gemini 3 Deep Think introduces Google's most advanced reasoning model yet built to solve complex math, science, and logic challenges that push the limits of AI. Using parallel reasoning across multiple hypotheses, it delivers deeper understanding and human-like insight. Available now for Google AI Ultra subscribers in the Gemini app.","topicsEn":["Productivity","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey everyone!\n\nGoogle just launched Gemini 3 Deep Think! A major leap in AI reasoning.\nBuilt to handle complex math, science, and logic tasks, it uses parallel reasoning to explore multiple ideas at once, bringing AI closer to human-like understanding.\n\nUltra subscribers can try it now in the Gemini app under Gemini 3 Pro → Deep Think.","review":"Gemini 3 Deep Think 代表了谷歌在 AI 推理能力上的重要突破。该模型通过并行推理机制在复杂问题解决中展现出显著优势,能够同时探索多个解决方案路径,这种方法更接近人类的思维方式。产品瞄准的是需要处理数学证明、科学研究和逻辑推理的专业人士和开发者。相比传统 LLM 的线性推理,Deep Think 的多假设并行处理能力可显著提升复杂任务的准确性。然而,该功能仅面向 Ultra 订阅用户,定价策略可能限制其市场渗透率。产品的核心竞争力在于推理深度和准确性,但在实际应用中的性能表现、延迟成本和真实场景适用性还需市场验证。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["生产力与办公","开发者工具","AI 与智能体"]},{"name":"Bun","tagline":"快速的 JavaScript 运行时,Node.js 的替代方案,内置开发工具","description":"在 Bun 中打包、安装和运行 JavaScript 与 TypeScript。Bun 是一个新的 JavaScript 运行时,内置原生打包器、转译器、任务运行器和 npm 客户端。","votesCount":245,"commentsCount":7,"createdAt":"2025-12-05T08:01:00Z","website":"https://www.producthunt.com/r/XRXMUDFEBKC4U5?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/bun-4?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/9ef16190-27eb-4784-9362-1031649152a1.png?auto=format","topics":["开源","开发者工具","GitHub"],"firstComment":"恭喜!在单一运行时中实现打包、运行和安装功能是一项优雅的开发体验升级。","date":"2025-12-05","id":"2025-12-05-3-bun","taglineEn":"A fast JS runtime Node.js replacement with built‑in tools","descriptionEn":"Bundle, install, and run JavaScript & TypeScript all in Bun. Bun is a new JavaScript runtime with a native bundler, transpiler, task runner, and npm client built-in.","topicsEn":["Open Source","Developer Tools","GitHub"],"firstCommentEn":"Congrats! Bundling, running, and installing in one runtime is an elegant developer DX win.","review":"Bun 代表了 JavaScript 运行时领域的重要创新。传统开发流程需要使用多个工具链(Node.js、webpack、npm 等),而 Bun 将打包、转译、包管理和任务运行等核心功能整合到一个运行时中,显著简化了开发工作流。其核心竞争力在于性能优化——更快的启动速度和执行效率——以及统一的工具链体验。目标用户是希望提升开发效率的全栈开发者和 JavaScript 生态参与者。作为开源项目,Bun 拥有社区驱动的优势,但面临与成熟的 Node.js 生态兼容性、第三方库支持等长期挑战。该产品有潜力重新定义现代 JavaScript 开发范式。","primaryCategory":"developer-tools","categories":["developer-tools"],"normalizedTopics":["开发者工具","Open Source"]},{"name":"Pylar","tagline":"安全地将整个数据栈连接到任何 agent","description":"Pylar 安全地将 agent 连接到数据栈。可连接任何数据源,精确定义 agent 可见的数据范围,将这些视图转化为自定义的 MCP 工具,并将其发布到任何 agent 构建平台——同时为每一次 AI 部署提供完整的可观测性。","votesCount":400,"commentsCount":43,"createdAt":"2025-12-04T08:01:00Z","website":"https://www.producthunt.com/r/36BKFQXLMVGUJF?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/pylar?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/337146af-bd04-4f10-9348-b9ae679c789e.png?auto=format","topics":["开发者工具","人工智能","安全"],"firstComment":"👋 大家好,我是 Pylar 的联合创始人 Hoshang。\n\n非常激动终于能分享我们一直在构建的产品。\n\n如今的 agent 擅长阅读文档、发票、网站、转录文本——\n但一旦需要它们接触存储敏感客户数据的结构化系统,例如 Snowflake、Postgres、CRM……事情就变得棘手了。\n\n我们反复听到两个相同的阻碍:\nagent 可能过度查询,悄无声息地推高数据仓库账单\n\nagent 存在泄露敏感数据(PII、财务信息、客户历史)的风险,因为访问权限没有得到适当限定\n\n目前,团队只有两个选择:\n\n- 现成的 MCP 服务器:存在 18,000 个,其中约 10% 是恶意的,大多数可利用或过于通用,不适合生产环境。\n- 自定义 API 封装器:耗费数月的工程资源来构建端点、策略和治理机制……所有这些都脆弱、分散且难以审计。\n\n这迫使公司做出痛苦的选择:要么将 agent 限制得毫无用处,要么开放权限并冒着安全事件的风险。\n\n传统的数据库 ACL 并非为自治系统设计。自定义 API 难以构建、治理和控制,以满足 agent 级别的交互需求。\n\nPylar 应运而生,旨在解决这个问题。它是一个位于 agent 与整个数据栈之间的受治理的访问层。\n\n连接数据源 → 定义沙盒化的 SQL 视图 → 将其转化为 MCP 工具 → 发布到任何 agent 构建平台……所有这些都通过一个控制平面完成,并具备完整的可观测性。\n\n开箱即得的功能包括:\n专为 agent 设计的沙盒化视图(从不提供原始数据库访问)\n\n强制的权限与护栏\n\n自动的违规遏制 + 审计日志\n\n通过单一安全链接发布到任何 agent 构建平台(n8n、Cursor、Claude、LangGraph 等)\n\n我们已经与一些出色的数据、平台和安全团队合作——从内部分析助手到直接连接生产数据的面向客户的 AI 功能。\n\n如果你正在探索为 agent 提供结构化数据访问,我很乐意听取你的想法,帮助你构建用例,或者分享我们从客户那里观察到的最佳实践。如果需要,可以在这里与我预约通话。\n\n感谢关注我们——这意义重大。🚀\n\n- Hoshang\n联合创始人,Pylar","date":"2025-12-04","id":"2025-12-04-0-pylar","taglineEn":"Securely connect your entire data stack to any agent","descriptionEn":"Pylar connects agents to your data stack, safely. Connect to any datasource, define exactly what an agent can see, turn those views into custom MCP tools, and publish them to any agent builder - with full observability across every AI deployment.","topicsEn":["Developer Tools","Artificial Intelligence","Security"],"firstCommentEn":"👋 Hey everyone, I'm Hoshang, Co-founder of Pylar.\n\nSuper excited to finally share what we've been building.\n\nAgents today are great at reading docs, invoices, websites, transcripts -\nbut the moment you want them touching structured systems where sensitive customer data is stored e.g Snowflake, Postgres, CRMs… things get tricky.\n\nWe kept hearing the same two blockers over and over:\nAgents may over-query and silently spike warehouse bills\n\nAgents are at a risk of leaking sensitive data (PII, financials, customer history) because access isn't properly scoped\n\nAnd right now, teams have two options:\n\n- Off-the-shelf MCP servers : 18,000 exist, ~10% are malicious, and most are exploitable or too generic for production.\n- Custom API wrappers : months of engineering bandwidth used up in building endpoints, policies, and governance… all brittle, fragmented, and hard to audit.\n\nThis forces companies into a painful choice: lock agents down so much they become useless, or open things up and risk a security incident.\n\nTraditional database ACLs weren't designed for autonomous systems. Custom APIs are hard to build, govern and control for agent level interactions.\n\nPylar exists to fix this. It's a governed access layer between your agents and your entire data stack.\n\nYou connect your datasources → define sandboxed SQL views → turn them into MCP tools → ship them to any agent builder… all from one control plane, with full observability.\n\nWhat you get out of the box:\nAgent-specific sandboxed views (never raw DB access)\n\nEnforced permissions & guardrails\n\nAutomatic breach containment + audit logs\n\nPublish to any agent builder (n8n, Cursor, Claude, LangGraph, etc.) via a single secure link\n\nWe're already working with some fantastic data, platform, and security teams - everything from internal analytics copilots to customer-facing AI features wired directly into production data.\n\nIf you're exploring structured-data access for agents, I'd love to hear your thoughts, help you build your use case or just share best practices on what we've been seeing with our customers. You can book a call with me here if you'd like. \n\nThanks for checking us out — means a lot. 🚀\n\n- Hoshang\nCo-founder, Pylar","review":"Pylar 精准地瞄准了 AI agent 在企业级应用中的核心痛点:安全、可控地访问结构化数据。随着 AI agent 从处理文档转向操作核心业务系统,传统的数据访问控制(如 ACL)和自定义 API 方案在动态、自主的 agent 交互面前显得力不从心,要么限制过死,要么风险过高。Pylar 的创新在于提供了一个专门的\"受治理访问层\",通过沙盒化 SQL 视图将原始数据访问转化为安全的工具,并统一分发给各类 agent 平台。这不仅解决了数据泄露和成本失控的风险,还通过标准化 MCP 协议和统一控制平面,大幅降低了开发和运维复杂度。其目标用户明确为拥有敏感数据栈的企业数据、平台和安全团队。Pylar 的挑战在于需要深度集成各类数据源和 agent 生态,并说服企业信任其作为关键数据访问的\"守门人\"。它代表了 AI 工程化从模型能力向数据安全和治理基础设施演进的重要一步。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["开发者工具","AI 与智能体","安全","Security"]},{"name":"Unosend","tagline":"以 99.9% 的送达率发送事务型和营销邮件","description":"开发者最佳邮件 API。以 99.9% 的送达率发送事务型和营销邮件。提供简洁的 REST API、具竞争力的定价和每月 5,000 封免费邮件配额。优于 Resend 和 SendGrid。立即免费开始。","votesCount":145,"commentsCount":24,"createdAt":"2025-12-04T08:01:00Z","website":"https://www.producthunt.com/r/N2OPGPE5DLUVS6?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/unosend?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/a1d6ad66-3ea1-48a7-bf96-8e89ed4a3e71.png?auto=format","topics":["API","电子邮件营销","开发者工具"],"firstComment":"嗨,Product Hunt!👋\n\n很兴奋为大家推出 Unosend——这是我开始构建时就希望存在的邮件 API。\n\n问题所在:\n每个邮件 API 要么价格过高,要么定价复杂,要么功能不足。我用过 Resend、SendGrid 和 Postmark——它们都很不错,但对于快速成长的创业公司来说太贵了。\n\n解决方案:\n\nUnosend 提供:\n- 每月 5,000 封免费邮件\n- 事务型和营销邮件\n- 简单、可预测的扩展定价\n- 相同的可靠基础设施和送达率\n- 一流的开发者体验\n\n为什么构建它:\n作为开发者,我们想要一个不会因为成功而惩罚用户的邮件 API。当应用增长时,邮件成本不应该蚕食利润。\n\n下一步:\n- React Email 集成\n- 更多 SDK(Rust、Java、.NET)\n- 高级分析\n- 邮件自动化工作流\n\n期待大家的反馈!免费试用(无需信用卡),告诉我想法。\n\n随时准备回答问题!🚀","date":"2025-12-04","id":"2025-12-04-5-unosend","taglineEn":"Send transactional + marketing email w/ 99.9% deliverability","descriptionEn":"The best email API for developers. Send transactional and marketing emails with 99.9% deliverability. Simple REST API, competitive pricing, and 5,000 free emails/month. Better than Resend & SendGrid. Start free today.","topicsEn":["API","Email Marketing","Developer Tools"],"firstCommentEn":"Hey Product Hunt! 👋\n\nI'm excited to launch Unosend—the email API I wish existed when I started building.\n\nThe Problem:\nEvery email API either charges too much, has confusing pricing, or lacks features developers need. I've used Resend, SendGrid, Resend and Postmark-they're all great but expensive for growing startups.\n\nThe Solution:\n\nUnosend gives you:\n- 5000 free emails/month\n- Transectional and marketing emails.\n- Simple, predictable pricing as you scale\n- The same reliable infrastructure and deliverability\n- A developer experience we're proud of\n\nWhy we built this:\nAs developers ourselves, we wanted an email API that doesn't punish you for success. When your app grows, your email costs shouldn't eat into your margins.\n\nWhat's next:\n- React Email integration\n- More SDKs (Rust, Java, .NET)\n- Advanced analytics\n- Email automation workflows\n\nI'd love your feedback! Try it free (no credit card needed), and let me know what you think.\n\nHappy to answer any questions! 🚀","review":"Unosend 针对开发者在邮件服务商选择上的长期痛点——高昂费用、复杂定价和功能限制——提供了直击要害的解决方案。在 SaaS 应用激增的时代,事务型和营销邮件已成为必不可少的基础设施,但现有玩家(如 Resend、SendGrid)定价普遍偏高,对初创企业形成压力。Unosend 的核心竞争力在于:99.9% 的行业级送达率保障、每月 5,000 封免费配额、透明且可竞争的定价模型。其简洁的 REST API 设计降低了接入门槛,面向快速成长的创业团队和中小型 SaaS 企业。后续规划中的 React Email 集成、多语言 SDK 支持和自动化工作流表明产品方向清晰。主要挑战在于如何在成熟市场中建立品牌认知,以及如何持续保持技术与服务竞争力。","primaryCategory":"developer-tools","categories":["developer-tools","growth-sales","finance-business"],"normalizedTopics":["开发者工具","电子邮件营销","Email Marketing"]},{"name":"TrueFoundry AI Gateway","tagline":"连接、观测和控制 LLM、MCP、防护栏和提示词","description":"TrueFoundry AI Gateway 是一个生产级的控制平面,用于实验、监测和治理 agent。在 playground 中实验连接所有 agent 组件(模型、MCP、防护栏、提示词和 agent)。通过追踪和健康指标保持对响应的完整可见性。通过设置请求量、成本、响应内容(防护栏)等方面的规则和限制来进行治理。已被多家财富 100 强公司用于生产环境中的数千个 agent。","votesCount":286,"commentsCount":111,"createdAt":"2025-12-03T08:01:00Z","website":"https://www.producthunt.com/r/NLGL56CEOVSVHV?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/truefoundry-ai-gateway?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/e9575236-cbfc-4d7c-9ce6-a0a0199c0060.png?auto=format","topics":["API","开发者工具","人工智能"],"firstComment":"大家好 Product Hunt,我是 TrueFoundry 联合创始人 Anuraag 👋\n\n当我们最初思考\"网关\"时,想象的是一个简单的 LLM 路由层。选择模型,发送流量,需要时切换。简单……或者我们认为是这样。\n\n一旦团队开始将 agent 和 MCP 投入生产,我们意识到难点不仅仅是路由。而是:\n\n每个内部系统都有不同的 MCP 认证流程。\n\n追踪和日志在链接模型、工具和 agent 后会崩溃。\n\n数据驻留和\"该数据必须保留在该地区\"的规则。\n\n安全审查\"谁调用了什么、何时调用、使用了哪个有效负载?\"。\n\n产品团队需要在不重写所有内容的情况下切换模型。\n\n所以这个\"路由器\"逐渐演变成了一个真正的控制平面,位于应用、LLM 和 MCP 之间——确保流量可靠、可审计、合规,同时开发人员可以快速交付。\n\n今天,TrueFoundry AI Gateway 位于 10 多家财富 500 强公司的生产流量中心,为其内部 copilot 和 agent 提供支持,同时平台团队使用它来控制成本、安全和可观测性——而不是维护一堆自定义的粘合代码。\n\n🔗 注册链接:请尝试并给我们反馈!🙏\n🎁 发布优惠:为 PH 社区提供 3 个月免费试用\n\n如果正在处理 MCP 认证、日志或数据政策问题,请在评论中分享设置——很想看看目前如何组织技术栈!","date":"2025-12-03","id":"2025-12-03-2-truefoundry-ai-gateway","taglineEn":"Connect, observe & control LLMs, MCPs, Guardrails & Prompts","descriptionEn":"TrueFoundry's AI Gateway is the production-ready, control plane to experiment with, monitor and govern your agents. Experiment with connecting all agent components together (Models, MCP, Guardrails, Prompts & Agents) in the playground. Maintain complete visibility over responses with traces and health metrics. Govern by setting up rules/limits on request volumes, cost, response content (Guardrails) and more. Being used in production for 1000s of agents by multiple F100 companies!","topicsEn":["API","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Product Hunt, Anuraag here, co-founder at TrueFoundry 👋\n\nWhen we first thought about a \"gateway\", we imagined a simple LLM routing layer in front of models. Pick a model, send traffic, switch if needed. Easy… or so we thought.\nOnce teams started putting agents and MCPs into production, we realised the hard stuff wasn't just about routing. It is:\nDifferent MCP auth flows for every internal system.\n\nTraces & logs that break once you chain models, tools, and agents\n\nData residency and \"this data must stay in this region\" rules,\n\nSecurity asking \"who called what, when, with which payload?\",\n\nProduct teams need to swap models without rewriting everything.\n\nSo the \"router\" slowly turned into a proper control plane that sits between your apps, LLMs, and MCPs - making sure traffic is reliable, auditable, compliant, and still fast for developers to ship on.\n\nToday, TrueFoundry's AI Gateway sits at the center of production traffic across 10+ Fortune 500s, powering their internal copilots and agents while platform teams use it to keep costs, safety, and observability under control - rather than maintaining a pile of custom glue code.\n\n🔗 Sign Up Link: Please try and give us feedback! 🙏\n🎁 Launch perk: 3‑month free trial for the PH community\n\nIf you're wrestling with MCP auth, logging, or data policies, drop your setup in the comments - curious to see how you are wiring your stack today!","review":"TrueFoundry AI Gateway 解决了 agent 和 LLM 应用大规模生产部署中的关键难题。随着企业 AI 应用的复杂性提升,从简单的模型路由演进到完整的控制平面成为必然需求。该产品核心价值在于统一管理 MCP 认证、追踪可观测性、成本治理和合规性控制,显著降低了平台团队的维护成本。已被多家财富 500 强企业采用,说明市场验证充分。优势包括生产级稳定性、完整的可审计性和灵活的模型切换能力。目标用户为大型企业的平台工程团队和 AI 产品负责人。潜在挑战在于与现有系统集成的复杂性,以及如何在性能和治理要求间找到平衡。该产品在 AI 基础设施层面展现出强大的竞争力。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","finance-business"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"beLow","tagline":"嵌入式 C/C++ 代码生成 - 优化版本","description":"beLow 自动分析 C 和 C++ 嵌入式代码,识别性能瓶颈并生成针对目标硬件优化的代码。显著减少执行时间、降低能耗,加快产品上市速度。专为汽车、航空航天、机器人等性能关键系统的开发者设计,beLow 简化了复杂的嵌入式代码优化工作,让团队能够专注于创新而非微调细节。","votesCount":176,"commentsCount":8,"createdAt":"2025-12-03T08:01:00Z","website":"https://www.producthunt.com/r/TZIC5XBP5WTAXP?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/below-2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/a148fa65-00f6-425c-b425-221093e01372.png?auto=format","topics":["开发者工具"],"firstComment":"大家好,Product Hunt!👋\n经过多年在嵌入式项目中与性能瓶颈对抗——花费无尽的时间寻找合适的计算路径、正确的变量类型或针对特定硬件目标的编译器标志——我们想要一个工具,能够最终连接真实硬件约束与现代 AI。\n\n这就是为什么我们构建了 beLow。\n它在实际硬件目标上分析 C/C++ 代码,测量真实 CPU 周期、内存模式和指令级行为,并将所有数据直接反馈给 AI agent,后者提出优化方案或甚至生成硬件感知的代码。\n\n有什么不同之处?\n大多数 AI 工具生成通用代码,对嵌入式约束一无所知。beLow 完全硬件感知,在本地运行,融合静态和动态分析来呈现具体、可测量的性能提升。汽车、航空航天和物联网领域的早期用户已经看到执行时间最多改进 45% 的成果。\n\n为庆祝在 Product Hunt 的发布,我们开放了软件,并为 Product Hunt 用户提供优先入职和延长免费使用。\n\n如果想要更快、更精简的嵌入式代码:\n👉 安装 VS Code 扩展\n👉 运行 MCP 服务器\n👉 立即分析、优化或生成代码\n\n我们很期待听到反馈——帮助我们塑造 AI 引导的嵌入式开发的未来。🚀","date":"2025-12-03","id":"2025-12-03-4-below","taglineEn":"Embedded C/C++ code generation - Optimized","descriptionEn":"beLow automatically analyzes your C and C++ embedded code to identify performance bottlenecks and generate optimized code tailored to your target hardware. Slash execution time, reduce energy consumption, and accelerate time to market. Designed for developers building in automotive, aerospace, robotics, and other performance-critical systems, beLow simplifies the complex work of embedded code optimization so teams can focus on innovation, not fine-tuning.","topicsEn":["Developer Tools"],"firstCommentEn":"Hey Product Hunt! 👋\nAfter years fighting performance bottlenecks in embedded projects — spending endless time hunting for the right computation path, the right variable type, or the right compiler flags for a specific hardware target — we wanted a tool that finally connects real hardware constraints with modern AI.\n\nThat's why we built beLow.\nIt analyzes your C/C++ code on your own hardware target, measures actual CPU cycles, memory patterns, and instruction-level behavior, and feeds all of that directly into AI agents that propose optimizations or even generate hardware-aware code.\n\nWhat makes it different?\nMost AI tools generate generic code with no understanding of embedded constraints. beLow is fully hardware-aware, runs locally, and blends static + dynamic analysis to surface concrete, measurable gains. Early users in automotive, aerospace, and IoT are already seeing execution-time improvements of up to 45%.\n\nTo celebrate our Product Hunt launch, we're opening our software and giving PH users priority onboarding + extended free usage.\n\nIf you want faster, leaner embedded code:\n👉 Install the VS Code extension\n👉 Run the MCP server\n👉 Analyze, optimize, or generate code instantly\n\nWe'd love your feedback — help us shape the future of AI-guided embedded development. 🚀","review":"beLow 针对嵌入式开发中的性能优化痛点提出了创新解决方案。传统嵌入式开发需要开发者手工分析代码瓶颈、调整编译器参数,耗时费力。beLow 将 AI 与硬件感知能力结合,自动识别性能瓶颈并生成优化代码,显著缩短优化周期。其核心优势在于真实硬件测量和 AI 双重支持——不仅运行本地分析,还利用 AI agent 提出切实可行的优化方案,用户报告的 45% 性能提升验证了其有效性。目标用户涵盖汽车、航空航天、物联网等对性能严苛的领域。产品的 VS Code 集成和 MCP 服务器支持降低了使用门槛。面临的挑战在于如何保证优化代码的正确性与可靠性,以及对不同硬件架构的普适性。","primaryCategory":"developer-tools","categories":["developer-tools","hardware-platforms","ai-agents"],"normalizedTopics":["开发者工具"]},{"name":"Gleam","tagline":"来自 10 位专家评审团的 AI 驱动设计评审","description":"Gleam 从 10 位 AI 评审专家的角度对设计进行结构化评审,每位评审都有自己的专长——用户体验、视觉设计、可访问性、产品策略等。上传一张截图,获得评分、定向洞察和高影响力改进建议清单,指导下一步迭代。","votesCount":125,"commentsCount":16,"createdAt":"2025-12-03T08:01:00Z","website":"https://www.producthunt.com/r/42D4UL6L7Q53OI?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/gleam-4?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/8a7c8221-0920-4b46-938d-feab9a92baa0.png?auto=format","topics":["设计工具","用户体验","开发者工具"],"firstComment":"大家好——我是 Dane 👋\n\n我开发 Gleam 是因为一直热爱迭代设计,但获得有意义的评审反馈很困难。有时需要快速收集来自多个不同领域的意见,打破当前的思维定式,更全面地看待设计。\n\nGleam 正是为此而生:10 位具有不同专长的 AI 评审,对设计进行评分,指出最具杠杆效应的改进方向。它不是替代专业设计人员,只是一个帮助思考权衡和加速发布的工具。\n\n试试看,让我知道想法!🙏\n\n— Dane","date":"2025-12-03","id":"2025-12-03-7-gleam","taglineEn":"AI-powered design reviews from 10 expert panelists","descriptionEn":"Gleam gives your design a structured review from 10 AI panelists, each with their own specialty—UX, visual design, accessibility, product strategy, and more. Upload a screenshot and get scores, directional insights, and a short list of high-impact fixes to guide your next iteration.","topicsEn":["Design Tools","User Experience","Developer Tools"],"firstCommentEn":"Hey everyone — Dane here 👋\n\nI built Gleam because I've always loved iterating on designs, but getting meaningful critique on demand is hard. Sometimes you need quick input across a wide range of topics to break out of your current focus and see your design more broadly.\n\nGleam gives you that: 10 AI reviewers with different specialties, scoring your design and pointing you toward the highest-leverage improvements. Not a replacement for real design expertise — just a tool to help you think about trade-offs and ship faster.\n\nTry it out and let me know what you think! 🙏\n\n— Dane","review":"Gleam 解决了设计师在迭代过程中难以获得快速、多维度反馈的痛点。传统设计评审往往需要召集多个专家,耗时且成本高昂。通过 AI 驱动的多专家评审机制,Gleam 提供了民主化的设计反馈方案。产品的创新之处在于多角色评审框架——涵盖 UX、视觉设计、可访问性等专业维度,能够帮助设计师从全局角度审视作品。目标用户包括独立设计师、初创企业和迭代频繁的产品团队。相比传统评审,其优势在于速度快、成本低、覆盖面广。潜在挑战包括 AI 评审的准确性深度、对设计个性的尊重,以及如何避免在复杂设计决策中过度依赖 AI 建议。","primaryCategory":"design-creative","categories":["design-creative","developer-tools","ai-agents"],"normalizedTopics":["设计、图片与视频","开发者工具","User Experience"]},{"name":"Nova Act by Amazon","tagline":"AWS 上用于构建可靠 agent 的 AI agent 平台","description":"Amazon Nova 是新一代基础模型,具有前沿的智能能力和业界领先的价格性能比。通过自然语言提示生成文本、代码和图像。","votesCount":125,"commentsCount":4,"createdAt":"2025-12-03T08:01:00Z","website":"https://www.producthunt.com/r/6SZVMGM3KAI5G2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/nova-act-by-amazon?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/9f169dbe-5885-4df4-93b1-26c5045078c2.png?auto=format","topics":["生产力","开发者工具","人工智能"],"firstComment":"Amazon 刚刚推出了 Nova Act!一个为可靠性而构建的 AI agent 平台。\n\n它专注于实际用例,如表单填充、质量保证测试和其他重复的浏览器工作流。\n\nNova Act 不是复制点击操作,而是在模拟环境中使用强化学习,使 agent 能够在布局或逻辑变化时自适应调整。\n\n配合 IDE 扩展、CloudWatch 和 AWS 部署,它看起来是一个用于构建生产级 agent 的专业开发者工具包。","date":"2025-12-03","id":"2025-12-03-8-nova-act-by-amazon","taglineEn":"An AI agent platform on AWS for building reliable agents","descriptionEn":"Amazon Nova is a new generation of foundation models with frontier intelligence and industry leading price performance. Generate text, code, and images with natural language prompts.","topicsEn":["Productivity","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Amazon just launched Nova Act! An AI agent platform built for reliability.\n\nIt focuses on practical use cases like form filling, QA testing, and other repetitive browser workflows.\n\nInstead of copying clicks, Nova Act uses reinforcement learning in simulated environments, so agents adapt when layouts or logic change.\n\nWith IDE extensions, CloudWatch, and AWS deployment, it looks like a serious toolkit for developers building production-ready agents.","review":"Nova Act 代表了 AWS 在 AI agent 领域的重要布局。与传统的自动化工具相比,Nova Act 采用强化学习技术使 agent 具备自适应能力,能够应对界面变化和逻辑调整,这是解决实际自动化场景中的关键痛点。产品瞄准表单填充、自动化测试等高频重复任务,具有明确的市场定位。其与 AWS 生态的深度集成(IDE 扩展、CloudWatch 监控)为开发者提供了完整的生产级开发体验。核心竞争力在于强化学习的自适应机制和云原生部署能力,但 agent 的可靠性和复杂场景下的表现仍需市场验证。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["生产力与办公","开发者工具","AI 与智能体"]},{"name":"Once UI 1.5","tagline":"用于交互和动画效果的开源设计系统","description":"Once UI 1.5 致力于为界面工程重新注入惊喜感。该版本引入了全新的视觉效果——天气系统、粒子效应、矩阵风格的点阵动画——都可以通过简短的代码快速集成使用。同时推出了专为实时数据和仪表盘设计的新一代图表类型。这是 Once UI 独有的特性。这款工具包为独立开发者量身定制,帮助产品呈现生动、富有表达力且独具个性的界面风格。","votesCount":237,"commentsCount":18,"createdAt":"2025-12-02T08:01:00Z","website":"https://www.producthunt.com/r/O6EG2JBRN4AXVQ?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/once-ui-for-figma?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/b762eeea-7d37-4d65-b42a-00d605b2d4e0.jpeg?auto=format","topics":["开源","用户体验","开发者工具","GitHub"],"firstComment":"感谢停留。\n\nOnce UI 1.5 源自驱动 https://designengineers.club 的同样好奇心——对动作、情感以及界面感受方式的探索,而非仅关注外观。\n\n此次更新是我们朝向更具表现力、充满生命力的界面迈出的一步:天气系统、粒子场、用于实时数据的全新图表形式。\n\n有任何问题欢迎提问——很乐意分享背后的设计思考。","date":"2025-12-02","id":"2025-12-02-3-once-ui-1.5","taglineEn":"Open-source designs for interactive + animated interactions","descriptionEn":"Once UI 1.5 is about bringing wonder back to UI engineering. We're introducing new visual effects — weather, particles, matrix-style dots — all drop-in and usable in just a few lines of code. You also get a new generation of chart types built for live data and real-time dashboards. Only in Once UI. A toolkit for indie builders who want their product to feel alive, expressive, and unmistakably theirs.","topicsEn":["Open Source","User Experience","Developer Tools","GitHub"],"firstCommentEn":"Thanks for stopping by.\n\nOnce UI 1.5 grew out of the same curiosity that drives https://designengineers.club — experiments in motion, mood, and how interfaces feel, not just how they look.\n\nThis update is our step toward more expressive, living interfaces: weather systems, particle fields, new forms of charts for real-time data.\n\nAsk me anything — happy to share the thinking behind it.","review":"Once UI 1.5 代表了开源设计系统向更高层次的进阶。在 Web 界面设计领域,大多数设计系统关注的是基础组件和布局,而 Once UI 将焦点投向交互质感和动画表达——这是区分出色产品的关键要素。新增的天气系统、粒子效应和实时数据图表等特性填补了设计工具中的空白,让独立开发者能够以极低的成本创建视觉效果出众的界面。其核心价值在于降低门槛,使没有高级动画经验的开发者也能快速实现专业级的视觉效果。面向的是那些希望产品在竞争中脱颖而出、注重用户体验细节的中小团队和独立建设者。该产品的持续迭代和开源特性也有利于社区驱动的发展,长期具有竞争力。","primaryCategory":"developer-tools","categories":["developer-tools","design-creative","data-analytics"],"normalizedTopics":["开发者工具","设计、图片与视频","Open Source","User Experience"]},{"name":"Vibecode DB","tagline":"前端数据库 API 网关","description":"Vibecode DB 重新定义了前端应用与后端的交互方式。只需定义一次架构,即可查询任何后端——SQLite、Supabase、PostgreSQL、REST API——使用统一的类型安全接口。无需重写代码、无需切换 SDK、无需被厂商锁定。随时切换数据库、构建离线优先应用,通过自定义适配器集成任何后端。一次编写,处处使用。","votesCount":150,"commentsCount":4,"createdAt":"2025-12-02T08:01:00Z","website":"https://www.producthunt.com/r/EA4OMOT6JGR2U7?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/vibecode-db?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/4abe1e9e-6ea7-481a-b66e-893aa10964a2.png?auto=format","topics":["API","开源","开发者工具","GitHub"],"firstComment":"大家好,Product Hunt!\n\n我们构建 Vibecode DB 是因为现代前端开发者需要应对太多数据库 API——浏览器中的 SQLite、小项目中的 Supabase、生产环境中的 Postgres、企业中的自定义 REST 端点。\n\n结果是什么?\n代码重写、厂商锁定、认知负担。\n\nVibecode DB 解决了这个问题。\n\n只需定义一次架构。\n只需编写一次查询。\n使用适配器接入任何数据库——无需修改应用代码。\n\n它具备类型安全特性、完全开源,专为实际开发流程构建:\n• 用 SQLite 进行原型设计,\n• 在 Supabase 上部署,\n• 集成 REST API,\n• 或在无需重写代码的情况下迁移数据库。\n\n期待听到反馈、想法和贡献。\n这只是开始——支持对我们意义重大。\n\n欢迎提问!\n\n——Vibecode 团队(GeekyAnts)","date":"2025-12-02","id":"2025-12-02-7-vibecode-db","taglineEn":"The Frontend Database API Gateway","descriptionEn":"vibecode-db rethinks how frontend apps talk to the backend. Define your schema once and query any backend - SQLite, Supabase, PostgreSQL, REST APIs — using one unified, type-safe interface. No rewrites, no SDK switching, no lock-in. Swap databases anytime, build offline-first apps, and integrate any backend through CustomAdapter. Write once. Use anywhere.","topicsEn":["API","Open Source","Developer Tools","GitHub"],"firstCommentEn":"Hey Product Hunt! \n\nWe built vibecode-db because modern frontend developers deal with too many database APIs — SQLite in the browser, Supabase for side projects, Postgres in production, custom REST endpoints in enterprises.\n\nThe result?\nRewrites. Vendor lock-in. Cognitive overload.\n\nvibecode-db fixes this.\n\nYou define your schema once.\nYou write your queries once.\nAnd you can plug in any database using adapters — without changing your application code.\n\nIt's type-safe, fully open source, and built for real-world dev workflows:\n• prototype in SQLite,\n• deploy on Supabase,\n• integrate REST APIs,\n• or migrate databases without rewriting code.\n\nWe'd love your feedback, ideas, and contributions.\nThis is just the beginning — and your support means the world.\n\nHappy to answer any questions!\n\n— The Vibecode Team (GeekyAnts)","review":"Vibecode DB 针对前端开发者的一个核心痛点——多数据库适配问题——提供了创新的统一解决方案。在微服务和多技术栈并存的时代,开发者常面临原型、测试、生产环境使用不同数据库的局面,导致频繁重写代码和学习成本高企。该产品通过定义一次架构、多处使用的理念,配合类型安全的查询接口和灵活的适配器机制,有效降低了维护复杂度。其开源特性和无厂商锁定的承诺,进一步增强了吸引力。目标用户包括全栈工程师、企业开发团队和快速迭代的初创公司。与传统 ORM 相比,Vibecode DB 的优势在于支持异构数据源的统一查询,但其成熟度和生态完整性仍需市场验证。","primaryCategory":"developer-tools","categories":["developer-tools","finance-business","data-analytics"],"normalizedTopics":["开发者工具","Open Source"]},{"name":"TwelveLabs Marengo 3.0","tagline":"最强大的视频理解嵌入模型","description":"Marengo 3.0 是 TwelveLabs 迄今为止最重要的模型,能够以规模化方式提供类似人类的视频理解能力。作为多模态嵌入模型,Marengo 融合了视频、音频和文本,实现整体视频理解,为精准的视频搜索和检索提供支持。","votesCount":267,"commentsCount":16,"createdAt":"2025-12-01T08:01:00Z","website":"https://www.producthunt.com/r/D2IOZRXKF25QXM?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/twelvelabs?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/9f74c80f-6ecc-4b8d-8062-7934521de31d.png?auto=format","topics":["开发者工具","人工智能","视频"],"firstComment":"loved it! keep building more products!","date":"2025-12-01","id":"2025-12-01-2-twelvelabs-marengo-3.0","taglineEn":"The most powerful embedding model for video understanding","descriptionEn":"Marengo 3.0 is TwelveLabs' most significant model to date, delivering human-like video understanding at scale. A multimodal embedding model, Marengo fuses video, audio, and text for holistic video understanding to power precise video search and retrieval.","topicsEn":["Developer Tools","Artificial Intelligence","Video"],"firstCommentEn":"loved it! keep building more products!","review":"Marengo 3.0 代表了视频 AI 理解领域的重大突破。传统的视频分析往往依赖于单一模态(仅视频或仅文本),而这款多模态嵌入模型通过融合视频、音频和文本三个维度,实现了更接近人类的完整视频理解。其核心创新在于嵌入技术的升级,使得视频搜索和检索精度大幅提升,这对内容管理、视频库治理和智能审核等场景具有重要价值。目标用户包括需要处理大规模视频内容的企业、媒体平台和开发者。在视频应用日趋复杂的背景下,这款产品的推出填补了高精度视频理解工具的市场空白。","primaryCategory":"design-creative","categories":["design-creative","developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","设计、图片与视频"]},{"name":"Crow","tagline":"通过 AI Copilot 让产品成为 AI 原生应用","description":"在与 100+ 应用开发者的交流中,一个共同的需求不断出现:每个人都想在产品中集成 AI Copilot。但没人有时间去实现它。因此我们构建了 Crow,可以在几分钟内为任何产品添加一个对话优先的 Copilot,能够执行真实的操作。","votesCount":184,"commentsCount":18,"createdAt":"2025-12-01T08:01:00Z","website":"https://www.producthunt.com/r/OLB5TT5WL4OP2X?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/crow-3?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/01228e43-42ec-40d2-b182-5faa6ae919f4.jpeg?auto=format","topics":["API","开发者工具","人工智能"],"firstComment":"你好 Product Hunt,我是 Crow 的创始人 Jai。\n\n我经常看到人们截图产品界面,然后问 ChatGPT 应该点哪里。\n这感觉像是一个失败模式,而不是一个功能。\n\n所以我构建了一个小工具:\n一个住在产品内部的 agent,通过 API 执行真实操作。\n\n工作流:\n- 上传 OpenAPI 规范\n- 工具自动生成\n- 向前端插入一个脚本标签\n- 用户与产品交互\n- agent 代表用户执行 API 调用\n\n这是早期版本,还比较粗糙,非常期待诚实的反馈。我会在评论区回答所有问题!","date":"2025-12-01","id":"2025-12-01-4-crow","taglineEn":"Make your product AI-native via AI Copilot","descriptionEn":"After 100+ conversations with app builders, the same thing kept coming up: Everyone wants an AI copilot in their product. No one has time to wire it up. So we built Crow to add a chat-first copilot that can take real actions on any product within minutes.","topicsEn":["API","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hi Product Hunt, Jai from Crow here.\n\nI kept seeing people screenshot product UIs and ask ChatGPT what to click.\nThat felt like a failure mode, not a feature.\n\nSo I built something small:\nAn agent that lives inside a product and executes real actions via its API.\n\nFlow:\n- upload OpenAPI spec\n- tools get generated automatically\n- drop in a script tag to your frontend\n- users talk to the product\n- agent executes API calls on behalf of user\n\nThis is early and rough, and I'd love honest feedback. I'll be in the comments answering anything!","review":"Crow 抓住了 AI 集成的关键痛点——开发者普遍希望为产品添加 AI 能力,但实现成本和复杂度高。产品的创新之处在于将 AI agent 的部署流程简化到极致:通过 OpenAPI 规范自动生成工具,用户仅需嵌入一个脚本标签即可激活 AI Copilot 功能。这种「三步快速部署」的设计大幅降低了技术门槛,使中小型开发团队也能具备 AI 原生产品的能力。目标用户是对 AI 功能有需求但人力资源有限的应用开发者和产品经理。相比通用 AI 助手,Crow 的优势在于与特定产品 API 的深度整合,能真正执行操作而非仅提供建议。潜在挑战在于如何确保 agent 的行为安全可靠,以及如何在不同产品场景中维持一致的用户体验。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","finance-business"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"FlowLens","tagline":"为编程 Agent 设计的 Bug 报告工具,助力加快发布速度","description":"FlowLens 让向编程 Agent 分享网页应用 Bug 变得极其简单。无需再祈祷 Agent 能重现问题,也不用将控制台日志和截图转储到对话中。只需在 Chrome 扩展中点击一次,FlowLens 就能自动捕获一切信息。编程 Agent 通过开源 MCP 服务器获得丰富的、即用型的上下文。同时保持 token 用量极为高效。","votesCount":122,"commentsCount":8,"createdAt":"2025-12-01T08:01:00Z","website":"https://www.producthunt.com/r/6WXCRNLWPVHWX7?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/flowlens-ai-native-bug-reports?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/451ad856-06c5-4f38-9577-0d46d94f2c8b.png?auto=format","topics":["Chrome 扩展","开源","开发者工具","人工智能","GitHub"],"firstComment":"我们在开发 FlowLens 时重点考虑了隐私保护和灵活性。\n\n选择适合的方案:\n使用免费开源的 MCP 让 AI Agent 为调试,所有数据保留在本地。\n\n跨项目与团队成员共享调试流程,通过 SOC 2 合规的 SaaS 平台,提供创业友好的免费层级。\n\n企业自托管(BYOC):完全掌控数据。\n\n每个共享的调试流程包含完整上下文:网络请求、控制台日志、JavaScript 错误追踪、存储事件和可视化录制。","date":"2025-12-01","id":"2025-12-01-9-flowlens","taglineEn":"Bug reports built for coding agents, so you can ship faster.","descriptionEn":"FlowLens makes sharing web-app bugs with your coding agents ridiculously easy. No more praying your agent can reproduce an issue, or dumping console logs and screenshots into chat. Just click once in the Chrome extension and FlowLens captures everything automatically. Your coding agent gets rich, ready-to-use context through the open-source MCP server. All while keeping token usage super efficient.","topicsEn":["Chrome Extensions","Open Source","Developer Tools","Artificial Intelligence","GitHub"],"firstCommentEn":"We built FlowLens with privacy and flexibility in mind. \n\nChoose the setup that works for you:\nLet your AI agent debug for you: with our free, open-source MCP, all data stays on your machine.\n\nShare flows with teammates for your different projects: using our SOC 2 compliant SaaS with a startup-friendly free tier.\n\nSelf-host for enterprise (BYOC): maintain full control over your data.\n\nEvery shared flow includes full context: network requests, console logs, JavaScript error traces, storage events, and a visual recording.","review":"FlowLens 切中了 AI 编程助手的实际痛点——信息不对称导致的调试低效。传统的 Bug 报告方式依赖手动复现和信息收集,而编程 Agent 往往难以获得完整的错误上下文。FlowLens 通过 Chrome 扩展一键捕获完整的网络请求、控制台日志、错误追踪和录制视频,为 Agent 提供充分的分析基础,大幅提升调试效率和准确度。产品设计展现了三层梯度策略:免费开源方案满足隐私敏感用户,SaaS 方案方便团队协作,企业级 BYOC 选项适配规模化需求。核心竞争力在于与 MCP 标准的深度集成和 token 效率的优化。目标用户包括使用 AI 编程工具的开发者和追求效率的开发团队。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["Chrome 扩展","开发者工具","AI 与智能体","Chrome Extensions","Open Source"]},{"name":"RightNow CUDA Editor","tagline":"为 GPU 开发打造的 AI 代码编辑器","description":"RightNow AI 是唯一一款专为 CUDA 开发设计的 AI 代码编辑器。具备理解 GPU 架构的 agent AI、实时内联 Nsight Compute 分析、自然语言转 NCU 命令、86+ GPU 模拟器(误差率低于 2% )等功能。支持跨块大小、线程数和内存布局的基准测试,并可并行查看 PTX/SASS 汇编代码。支持同时分析多个 GPU,可连接远程 GPU 或使用离线 LLM 支持本地运行。兼容从 GTX 1060 到 H100 的所有 NVIDIA GPU。","votesCount":118,"commentsCount":7,"createdAt":"2025-11-30T08:01:00Z","website":"https://www.producthunt.com/r/3HJO3HSPYTBIL6?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/rightnow-ai?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/24d12274-25fb-4fff-98d9-a39ba427b77c.png?auto=format","topics":["硬件","开发者工具","人工智能"],"firstComment":"GPU 开发不应该需要在五个工具之间不停切换才能理解内核为何运行缓慢。\n\nRightNow AI 是首款 GPU 原生代码编辑器。它在一个地方集成了实时分析、周期精确的模拟器和真正理解 CUDA 的 AI。\n\n在代码编辑器中进行性能分析。无需硬件即可模拟 H100。用纯英文提出优化问题。\n\n免费下载使用。欢迎尝试,如有功能建议可加入我们的 Discord 社区 https://discord.com/invite/sSJqgNVJ9s :D","date":"2025-11-30","id":"2025-11-30-8-rightnow-cuda-editor","taglineEn":"AI code editor for GPU development","descriptionEn":"RightNow AI is the only AI code editor built specifically for CUDA. Features agentic AI that knows your GPU architecture, real Nsight Compute profiling inline, natural language to NCU commands, and 86+ GPU emulation with \u003c2% error. Benchmark across block sizes, thread counts, and memory layouts. View PTX/SASS assembly side-by-side. Profile multiple GPUs simultaneously. Connect to remote GPUs or run fully local with offline LLM support. Supports all NVIDIA GPUs from GTX 1060 to H100.","topicsEn":["Hardware","Developer Tools","Artificial Intelligence"],"firstCommentEn":"GPU development shouldn't require switching between five tools just to understand why your kernel is slow.\n\nRightNow AI is the first GPU-native code editor. It brings real-time profiling, a cycle-accurate emulator, and AI that actually understands CUDA all in one place.Profile without leaving your code. Emulate H100s without the hardware. Ask optimization questions in plain english.\n\nFree to download. Give it a try, and join our Discord if you have feature requests https://discord.com/invite/sSJqgNVJ9s :D","review":"RightNow CUDA Editor 瞄准 GPU 开发的核心痛点——开发者需在多个工具间频繁切换来优化内核性能。这款产品创新性地将 AI 代码编辑、实时性能分析和硬件模拟集成在一个统一平台,大幅降低了 CUDA 开发的学习曲线和工作流复杂度。其独特价值在于 agent AI 理解 GPU 架构特性、内联 Nsight Compute 分析消除上下文切换、自然语言命令降低专业门槛。目标用户包括 CUDA 开发者、GPU 研究人员和 AI/计算密集型应用开发者。产品的竞争优势在于专业性和集成度,但市场规模相对垂直,需要在文档完整性和用户教育方面投入以加速采用。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","hardware-platforms"],"normalizedTopics":["硬件、移动与平台","开发者工具","AI 与智能体"]},{"name":"ModelPilot","tagline":"为每个提示优化性能、成本、速度和碳排放","description":"ModelPilot 是一个智能 LLM 路由器,能够自动为每个提示选择最佳的 AI 模型,平衡成本、延迟、质量和环保影响。与其他工具不同的是,它是 OpenAI 风格端点的即插即用 API 替代品,这意味着无需修改现有代码,仅需数分钟即可集成。","votesCount":99,"commentsCount":7,"createdAt":"2025-11-29T08:01:00Z","website":"https://www.producthunt.com/r/MRYV7ETPVT4Q6A?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/modelpilot?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/48a8170a-916d-42c6-b002-db20082ec2fe.png?auto=format","topics":["API","开发者工具","人工智能"],"firstComment":"大家好 👋 我是 Apostolos,ModelPilot 的创始人。\n\nModelPilot 源于我之前创办的公司 Flowsage 的一个痛点。当时我们发现,虽然在昂贵模型上花费了大量成本,但 80% 的请求其实可以由更便宜的模型来处理。这个经历让我意识到:模型选择不应该是手动的,应该是自动的。\n\n于是我开发了 ModelPilot,一个智能 LLM 路由器,它能根据成本、速度、质量和碳排放自动为每个提示选择最佳模型。可以配置为高质量模式、均衡性能模式或环保意识模式,并作为 OpenAI API 的即插即用替代品。集成只需修改一行代码。\n\n底层架构采用 Firebase(认证、数据库、Cloud Functions)和 Google Cloud(ML 选择和安全的自带密钥加密),确保安全、可扩展和开发者友好。我们还添加了多项功能:\n\n- 分析和账单仪表板,用于追踪 token 用量和性能\n- 碳感知路由,优化可持续性\n- AI 助手,让较小的模型在需要时自主向更大的模型请求帮助\n\n如果曾经为管理多个 LLM 感到困扰,我很想听听想法——更好的是,试用后给我反馈。\n\n感谢关注!🚀","date":"2025-11-29","id":"2025-11-29-8-modelpilot","taglineEn":"Optimize Performance, Cost, Speed & Carbon for each prompt","descriptionEn":"ModelPilot is an intelligent LLM router that automatically picks the best AI model for each prompt, balancing cost, latency, quality, and environmental impact. Unlike other tools, it's a drop-in API replacement for OpenAI-style endpoints, meaning you can integrate it in minutes without changing your existing code.","topicsEn":["API","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey everyone 👋 I'm Apostolos, founder of ModelPilot.\n\nModelPilot was born out of frustration from my last startup, Flowsage, where we noticed we were spending a lot for expensive models when 80% of requests could be handled by a cheaper model. That experience made me realize: model selection shouldn't be manual, it should be automatic.\n\nSo I built ModelPilot, an intelligent LLM router that automatically picks the best model for every prompt based on cost, speed, quality, and carbon impact. You can configure it for high quality, balanced performance, or eco-conscious routing, and it works as a drop-in OpenAI API replacement. \nLiterally one line of code to switch over.\n\nUnder the hood, it's running on Firebase (auth, database, Cloud Functions) and Google Cloud (ML selection and secure BYOK), making it secure, scalable, and developer-friendly. We also added features like:\n\n- Analytics & Billing Dashboard for token usage and performance tracking\n- Carbon-aware routing to optimize for sustainability\n- AI Helpers, which let smaller models autonomously request help from larger ones when needed\n\nIf you've ever felt the pain of managing multiple LLMs, I'd love your thoughts — or even better, your feedback after trying it. \n\nThanks for checking it out! 🚀","review":"ModelPilot 抓住了 LLM 应用中的一个核心痛点——模型选择成本与效能的平衡问题。在 AI 应用规模化的过程中,企业往往陷入两难境地:使用高端模型保证质量但成本高昂,或使用低端模型降低成本但影响用户体验。ModelPilot 通过自动路由机制优雅地解决了这一矛盾,真正实现了按需匹配。特别值得关注的是,产品不仅考虑成本和速度这两个传统维度,还将碳排放纳入优化目标,体现了对可持续发展的思考,这在同类产品中相对少见。即插即用的 API 设计降低了集成门槛,对开发者友好。主要目标用户包括高流量应用的开发团队和对成本敏感的初创企业,市场潜力较大。未来挑战在于如何精准预测不同模型在特定场景的表现,以及保持路由策略的持续优化能力。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","finance-business"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Qoder JetBrains Plugin","tagline":"理解后端架构的真实复杂性,而非仅语法层面","description":"JetBrains AI 插件,从架构层面理解后端项目。直接访问 Spring Bean 图谱、数据库模式和框架语义——而非止步于表层代码。为拥有 10 万+ 文件的复杂系统提供上下文感知的建议。","votesCount":306,"commentsCount":36,"createdAt":"2025-11-28T08:01:00Z","website":"https://www.producthunt.com/r/VEHI5WFLFDBW7X?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/qoder?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/ddbcbe63-ff4d-450e-94e1-e9895be92d83.png?auto=format","topics":["开发者工具","人工智能","沉浸式编码"],"firstComment":"Qoder 已集成至 IDE 和 CLI。现已推出 JetBrains 版本。\n\n搭载相同的高级上下文引擎,但深度融合 IntelliJ IDE,可访问 Spring 依赖、数据库模式、PSI 结构。专为后端项目打造。\n\n立即试用!","date":"2025-11-28","id":"2025-11-28-0-qoder-jetbrains-plugin","taglineEn":"Understands your backend's real complexity, not just syntax","descriptionEn":"AI plugin for JetBrains that understands backend projects architecturally. Accesses Spring Bean graphs, database schemas, and framework semantics directly — not just superficial code. Provides context-aware suggestions for complex systems with 100K+ files.","topicsEn":["Developer Tools","Artificial Intelligence","Vibe coding"],"firstCommentEn":"We've brought Qoder to IDE and CLI. Now for JetBrains.\n\nSame Advanced Context Engine, but deeply integrated with IntelliJ IDEs, accessing Spring dependencies, database schemas, PSI structures. Purpose-built for backend projects.\n\nTry it!","review":"Qoder JetBrains 插件针对后端开发中的核心痛点——代码上下文理解——提供了创新解决方案。传统 AI 代码助手多停留在语法层面,难以把握复杂后端系统的架构关系。Qoder 通过直接访问 Spring Bean 依赖图、数据库模式和框架语义,实现了真正的架构级别理解。这对于拥有数十万行代码的大型后端项目尤为关键。其核心竞争力在于深度集成 JetBrains IDE 生态,充分利用 PSI 结构等 IDE 原生能力,而非简单的文本分析。目标用户包括微服务架构师、后端工程师和系统设计者。相比通用 AI 助手,该插件的专业化设计大幅提升了建议的准确性和实用性,有望显著提升复杂后端系统的开发效率。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["开发者工具","AI 与智能体","沉浸式编码","Vibe coding"]},{"name":"Agenta","tagline":"AI团队的开源提示词管理与评估平台","description":"Agenta 是一个开源 LLMOps 平台,用于构建可靠的 AI 应用。管理提示词、运行评估、调试追踪。帮助开发者和领域专家协作,更快更自信地交付 LLM 应用。","votesCount":297,"commentsCount":36,"createdAt":"2025-11-28T08:01:00Z","website":"https://www.producthunt.com/r/DOTIDTOPCGHKIL?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/agenta?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/3fddaa9d-0b0b-4e17-acfc-6b71ca219f29.png?auto=format","topics":["开源","开发者工具","人工智能"],"firstComment":"我非常喜欢 Agenta,在研究不同工具时将其列为提示词工程的首选工具。我需要一个工具来教导卡尔加里大学的学生如何进行系统化的提示词工程研究,这个平台对非技术背景的用户来说是最好的选择,能够在一个地方访问所有专业研究工具。我现在计划让团队的博士生加入,进行可能转化为完整研究论文的提示词工程研究工作。","date":"2025-11-28","id":"2025-11-28-1-agenta","taglineEn":"Open-source prompt management & evals for AI teams","descriptionEn":"Agenta is an open-source LLMOps platform for building reliable AI apps. Manage prompts, run evaluations, and debug traces. We help developers and domain experts collaborate to ship LLM applications faster and with confidence.","topicsEn":["Open Source","Developer Tools","Artificial Intelligence"],"firstCommentEn":"I really like Agenta and chose it as my #1 tool for prompt engineering when I researched different tools. I needed a tool to teach my students at the University of Calgary how to do systematic prompt engineering studies, and this one was the best one for a non-technical audience to access all the professional tools for such studies in one place. I'm planning to get our PhD students into it now for prompt engineering studies that can turn into full-fledged research papers.","review":"Agenta 瞄准了 LLM 应用开发中的核心痛点——提示词管理的复杂性和评估的低效率。作为开源平台,它为开发者团队和领域专家提供了统一的协作环境,降低了使用门槛。其核心竞争力体现在三个方面:首先,提供系统化的提示词工程工具,满足学术研究和生产应用的双重需求;其次,内置评估机制使团队能够量化模型性能,提升决策效率;第三,开源属性吸引了教育机构和企业用户。用户基础涵盖高校研究者、AI 工程师和产品团队。面临的挑战包括与商业化 LLMOps 工具的竞争,以及如何保持开源社区的活跃度。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","Open Source"]},{"name":"Links 2.0","tagline":"比以往更快地保存、整理和查找链接","description":"Links 2.0 是一款完整重设计的应用,帮助在所有设备上保存、整理和查找链接。基于 iOS 16 构建,引入了全新导航栏、刷新后的首页展示最近链接、改进的筛选器、自定义强调色、全新设置界面和应用图标。默认私密,通过 iCloud 同步驱动,无需账户和追踪。","votesCount":319,"commentsCount":17,"createdAt":"2025-11-27T08:01:00Z","website":"https://www.producthunt.com/r/BBDFUZO3CA3AUI?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/links-save-all-your-links?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/4a89b99a-20c4-4bf1-aef8-aecf3b6c2489.jpeg?auto=format","topics":["iOS","生产力","开发者工具"],"firstComment":"大家好!👋\n我构建 Links 是为了提供一个简单、快速且注重隐私的方式来保存想要稍后重新查看的内容。2.0 版本带来了完整的重设计,更清晰的导航体验、更好的整理工具、自定义强调色,以及全新的首页让用户瞬间获取最近的链接。\n\n期待听到反馈和建议,欢迎分享对后续功能的想法——感谢关注!🙌","date":"2025-11-27","id":"2025-11-27-0-links-2.0","taglineEn":"Save, organize and find your links faster than ever","descriptionEn":"Links 2.0 is a complete redesign of the app that helps you save, organize and find your links across all your devices. Built for iOS 26, it introduces a new navigation bar, a refreshed Home with Recent Links, improved filters, custom accent colors, a new settings screen and a brand-new app icon. Private by default and powered by iCloud sync, with no accounts or tracking.","topicsEn":["iOS","Productivity","Developer Tools"],"firstCommentEn":"Hi everyone! 👋\nI built Links to have a simple, fast and privacy-focused way to save the things I want to revisit later. With 2.0, the app gets a full redesign, a cleaner navigation experience, better organization tools, custom accent colors and a new Home that helps you get to your recent links instantly.\n\nI'd love to hear your thoughts, feedback or ideas for what's coming next — thanks for checking it out! 🙌","review":"Links 2.0 瞄准了移动时代的一个核心痛点:链接管理的效率问题。随着信息消费碎片化,用户频繁面临\"稍后查看\"的需求,但现有方案多依赖浏览器书签或第三方应用,体验割裂且不够高效。Links 通过深度本地化优化解决这一问题——iOS 原生设计确保流畅体验,iCloud 同步实现跨设备无缝协作,隐私优先的理念打消了数据泄露顾虑。2.0 版本的重设计进一步强化了易用性,新的首页架构和自定义选项体现了用户中心设计。目标用户包括频繁阅读、需要整理信息的知识工作者和内容爱好者。不过,在链接管理市场竞争激烈的背景下,如何建立差异化壁垒、扩展功能深度同时保持简洁性,将是持续发展的关键。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","hardware-platforms"],"normalizedTopics":["硬件、移动与平台","生产力与办公","开发者工具"]},{"name":"Rubber Duck","tagline":"在苹果审核前捕获应用商店拒审问题","description":"Rubber Duck 在提交应用到应用商店前扫描 iOS 应用。我们结合自动化检测和真实设备上的人工测试,捕获苹果最常标记的问题:崩溃、不完整的流程、缺失隐私数据、元数据不一致、破损的引导流程等。上传 IPA 文件 → 我们进行测试 → 获得清晰的可操作的测试报告。","votesCount":274,"commentsCount":22,"createdAt":"2025-11-26T08:01:00Z","website":"https://www.producthunt.com/r/FQPMYUV6CAZV2C?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/rubber-duck?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/dcd65a75-8495-4e7c-bab2-77604f8fc104.png?auto=format","topics":["分析工具","开发者工具","苹果"],"firstComment":"大家好!我是 Rubber Duck 的创建者。在发布 iOS 应用后,我意识到应用商店审核过程有多不可预测。即使优秀的应用也会因以下原因被拒:\n缺失元数据\n\n小的 UI 问题\n\n特定 iPhone 型号上的破损流程\n\n遗漏的隐私条目\n\n苹果发现的零星崩溃\n\n每次拒审都会将上线时间延后数天。所以我构建了 Rubber Duck 作为\"审核前的审核\"。它结合了自动化检测和使用真实 iPhone 的人工测试,就像应用商店审核员一样工作,但更快、更友好。\n\n很期待听到大家的反馈,以及如何让这个工具更加有用!","date":"2025-11-26","id":"2025-11-26-2-rubber-duck","taglineEn":"Catch App Store rejection issues before Apple does.","descriptionEn":"Rubber Duck scans your iOS app before you submit it to the App Store. We combine automated checks with human testers on real devices to catch the issues Apple flags the most: crashes, incomplete build flows, missing privacy data, inconsistent metadata, broken onboarding, and more. Upload your IPA → we test → you get a clear actionable Duck Report.","topicsEn":["Analytics","Developer Tools","Apple"],"firstCommentEn":"Hi everyone! I'm the maker of Rubber Duck. After shipping iOS apps, I realized how unpredictable App Store review can be. Even great apps get rejected for:\nMissing metadata\n\nSmall UI issues\n\nBroken flows on certain iPhone models\n\nForgotten privacy entries\n\nOne-off crashes Apple found\n\nEach rejection set the launch back days. So I built Rubber Duck to be the \"review before the review.\" It combines automated checks with human testers using real iPhones like an App Store reviewer, but faster and kinder.\n\nExcited to hear what you think and how we can make this even more useful!","review":"Rubber Duck 针对 iOS 开发者面临的应用商店审核不确定性提供了创新解决方案。应用被拒是困扰开发团队的常见问题,重复提交审核会显著延长上线周期。该产品通过结合自动化检测和真实设备人工测试的方式,模拟苹果审核员的工作流程,在正式审核前发现和修复问题,大幅降低拒审风险。其核心优势在于对苹果常见拒审原因的深度理解,包括元数据、隐私合规、UI 一致性等多维度覆盖。目标用户为独立开发者和应用发行公司,特别是在频繁迭代和快速上线的团队中具有高价值。产品定位清晰,解决的痛点真实,有望成为 iOS 开发工作流中的标准工具。","primaryCategory":"developer-tools","categories":["developer-tools","data-analytics","hardware-platforms"],"normalizedTopics":["分析工具","开发者工具","苹果","数据分析与商业智能","硬件、移动与平台"]},{"name":"AskCodi","tagline":"自定义 LLM,无需训练。通过 OpenAI 兼容 API 使用","description":"提供 OpenAI 兼容的编排层,使团队能够在任何 LLM 之上组合自己的\"虚拟模型\"——融合提示词、推理、审查和防护栏,并在从 IDE 到后端的各处使用。核心功能包括:🔌 为多个 LLM 提供统一的 OpenAI 兼容 API;🧱 可自定义命名和重用的模型;🧠 按需推理模式;✅ 内置审查模式;🛡️ 防护栏和 PII 掩蔽;🧑‍💻 IDE 和 CLI 集成;📊 分析和成本控制。","votesCount":154,"commentsCount":13,"createdAt":"2025-11-26T08:01:00Z","website":"https://www.producthunt.com/r/CYUEQEAYUECUYQ?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/askcodi?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/1aac6a70-9919-4006-b6ec-03d40d51959a.png?auto=format","topics":["软件工程","开发者工具","人工智能"],"firstComment":"大家好,Product Hunt!👋\n\n我是 AskCodi 的联合创始人 Shreyans。\n\n多年来,我们一直在开发 AskCodi 作为 AI 发展过程中的前端层。现在我们正在从消费技术转向,专注于将研究成果引向消费端的专业领域。\n\n第一步是构建一个 LLM 编排层,让用户在任何 LLM 之上构建自己的定制化编码模型,并通过 OpenAI 兼容 API 访问。\n\n与其直接调用 gpt-5.1,现在可以调用:\n- code-generator-model\n- bugfix-with-review\n- secure-code-review\n\n每个\"定制模型\"都是一个方案:提示词 + 推理 + 审查 + 防护栏。\n- 将提示词、工具、推理、审查和防护栏堆叠成单个模型名称,可以在任何地方调用。\n- 为复杂编码任务启用推理和自检流程,即使是在非推理基础模型上。\n- 添加自动审查流程:生成代码后审查是否存在错误、安全问题和风格问题,一次调用完成。\n- 在模型层级屏蔽敏感数据并强制执行组织政策。\n\n我们的目标很简单:让小型和开源模型在成本只有一小部分的情况下,效能与前沿 LLM 相当。\n\n如果正在开发工作流中尝试 AI,或已经依赖 Codex、CC、Copilot 或 Cursor 等工具。很想听取反馈和获得支持。","date":"2025-11-26","id":"2025-11-26-5-askcodi","taglineEn":"Custom LLMs, without training. Use via openai compatible api","descriptionEn":"We provide an OpenAI-compatible orchestration layer that lets teams compose their own \"virtual models\" on top of any LLM - combining prompts, reasoning, review, and guardrails, and use them everywhere from your IDE to your backend. Key features 🔌 One OpenAI-compatible API for many LLMs 🧱 Custom models you name & reuse 🧠 Reasoning mode on demand ✅ Built-in review mode 🛡️ Guardrails & PII masking 🧑‍💻 IDE & CLI integrations 📊 Analytics & cost controls","topicsEn":["Software Engineering","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Product Hunt! 👋\n\nI'm Shreyans, cofounder of AskCodi.\n\nAfter years of building askcodi as an frontend layer for constant AI releases. We are moving away from consumer tech and focusing on our expertise bring Research to Consumers.\n\nFirst step building an LLM orchestration layer that lets you build your own custom coding models on top of any LLM and making it accessible using openai compatible api.\n\nInstead of calling gpt-5.1 directly, you call things like:\n- code-generator-model\n- bugfix-with-review\n- secure-code-review\n\nEach \"custom model\" is a recipe: prompts + reasoning + review + guardrails.\n- Stack prompts, tools, reasoning, review, and guardrails into a single model name you can call anywhere.\n- Enable reasoning and self-check flows for complex coding tasks, even on non-reasoning base models.\n- Add an automatic review pass: generate, then review for bugs, security, and style in one call.\n- Mask sensitive data and enforce organization policies at the model layer.\n\nOur goal is simple: make small and open-source models as effective as frontier LLMs at a fraction of the cost.\n\nIf you're experimenting with AI in your dev workflow or already rely on tools like Codex, CC, Copilot, or Cursor.\nI'd love your feedback and support.","review":"AskCodi 抓住了当下 AI 工程化的核心痛点——如何在众多 LLM 中灵活编排,构建适应组织需求的定制模型。相比直接调用通用大模型,该产品通过 OpenAI 兼容 API 层提供了更细粒度的控制和可复用性。其特色在于内置的推理、审查和防护栏机制,解决了代码生成中安全性和质量保证的难题。目标用户包括需要集成 AI 编码助手的企业和开发团队。优势体现在成本效益比和灵活性,弥补了小型模型与商业级大模型之间的性能鸿沟。面临的主要挑战是市场教育和与 GitHub Copilot、Cursor 等成熟产品的竞争。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"nao","tagline":"AI 数据集成开发环境,加速数据工作效率 10 倍","description":"nao 是一款 AI 驱动的数据集成开发环境,为分析师、工程师和科学家设计,支持编写 SQL、Python 或 dbt 工作流,预览变更、提前发现问题并自信部署。直接连接数据仓库并理解数据架构,帮助加快构建速度、减少错误、保持数据可信度。在一个平台内构建数据管道、启动质量检查、运行分析、跨团队协作,无需频繁切换工具。可将其视为专为现代数据工作构建的 AI 团队成员。","votesCount":404,"commentsCount":98,"createdAt":"2025-11-25T08:01:00Z","website":"https://www.producthunt.com/r/RCZKKXCBGNSLFT?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/nao-2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/60e7e056-7689-4f18-ad3f-d564172e831a.png?auto=format","topics":["开发者工具","人工智能","数据与分析"],"firstComment":"大家好,我是 nao Labs 联合创始人 Claire 👋🏻\n\nnao 是我在数据工作中希望拥有的 AI 数据集成开发环境。\n\n两年前,我是 sunday 的数据负责人。我努力跟上业务发展速度,帮助团队避免生产环境中的破坏性变更,同时尽量为他们节省时间专注有趣的分析工作。\n\n但这很困难。工具似乎完全不适配我们的工作。我们不断在 IDE 和数据仓库控制台之间切换,手动在 BI 工具中应用数据模型变更。我一直在重新连接扩展程序,最后放弃了。\n\n然后 AI 来了!\n\n但再一次,AI 编码工具是为开发者设计的,而不是数据从业者。它们处理代码上下文很好,但无法处理数据工作所需的多种上下文:数据架构、文档、数据栈、业务定义。\n\n所以一年前,当 Christophe 和我开始思考如何为数据从业者提高数据工具效率时,变得很清楚:我们想创建最好的 AI 数据工作平台。\n\nnao 是 AI 数据集成开发环境,专为数据工作流设计。它基于 VSCode,直接连接到数据仓库。AI agent 拥有代码、元数据、数据栈和业务上下文的完整信息——全部在安全的本地设置中。\n\n我们 6 个月前发布了第一个版本,所以我可以告诉大家用户喜欢的地方:\n一切集于一身。数据团队中的任何人——无论技术背景如何——都可以通过一次点击轻松连接数据和栈集成。\n\n从数据架构到包含数据质量检查的完整数据管道,只需一句提示。\n\n深度分析只需一句提示。nao 规划要运行的分析,运行所有检查,并提供完整的分析摘要。\n\nnao 仍在测试阶段,还有更多功能即将推出。我们的目标是在整个数据栈中端到端完全集成——从数据工程到数据科学再到分析。我们相信,要使 AI 在分析中被采用,首先必须被数据团队本身采用和信任。\n\n我们提供免费试用版和免费版——试试看,告诉我们想法!\n\n数据工作愉快!","date":"2025-11-25","id":"2025-11-25-0-nao","taglineEn":"AI data IDE for 10x faster data work","descriptionEn":"Nao is an AI powered data IDE for analysts, engineers, and scientists to write SQL, Python, or dbt workflows, preview changes, catch issues early, and deploy confidently. It connects directly to your warehouse and understands your schema so you can build faster, fix fewer bugs, and maintain trust in your data. Build data pipelines, launch quality checks, run analytics, and collaborate across teams without context switching. Think of it as your AI teammate built specifically for modern data work.","topicsEn":["Developer Tools","Artificial Intelligence","Data & Analytics"],"firstCommentEn":"Hi Product Hunt, I'm Claire, co-founder of nao Labs! 👋🏻\n\nnao is the AI data IDE I wish I had when I was working in data.\n\n2 years ago I was head of data at sunday. I was trying to keep up with the speed of the business, helping my team avoid breaking changes in prod, while trying to save them time for the interesting analytics stuff.\n\nBut it was tough. Our tools just seemed so unadapted to our work. We kept switching from the IDE to the warehouse console and manually applying data model changes in the BI tool. I kept reconnecting extensions until I just gave up.\n\nThen AI came!\n\nBut once again, AI coding tools were thought for developers, not for data people. They handle code context very well, but not the variety of context you need for data work: data schema, documentation, data stack, business definitions.\n\nSo one year ago, when Christophe and I started thinking about how to make data tooling more efficient for data people, it became clear: we wanted to create the best place to work on data with AI.\n\nnao is the AI data IDE, designed specifically for data workflows. It's a fork of VSCode, directly connected to your warehouse. And the AI agent has all the context of your code + metadata + data stack and business context - all in a secure local setup.\n\nWe released our first version 6 months ago, so I can tell you a bit about what our users love:\nIt's all in one. Anyone in the data team - technical or not - can easily connect their data and stack integration in one click.\n\nOne prompt from data schema to a full data pipeline with data quality checks.\n\nOne prompt for deep-dive analysis. nao plans analytics to run, runs all checks, and provide a full analytics summary.\n\nnao is still in beta and there's much more coming. Our goal is to be fully integrated across your entire data stack, end-to-end — from data engineering to data science to analytics. We believe that for AI to be adopted in analytics, it must first be adopted and trusted by the data team itself.\n\nWe have a free trial and free version - give it a try and let us know what you think!\n\nHappy data vibing,","review":"nao 抓住了现代数据团队的核心痛点:工具碎片化导致的效率低下。传统数据开发流程需要在多个平台间频繁切换,nao 通过深度集成 VSCode、数据仓库和 AI agent,实现了真正的一站式数据开发体验。其最大创新在于 AI agent 的上下文感知能力——不仅理解代码,还理解数据架构、业务定义和数据栈配置,这使其相比通用 AI 编码工具更具针对性。产品覆盖数据工程、分析和质量检查全流程,目标用户从数据工程师到非技术分析师,市场适用范围广。目前的挑战包括在复杂、多源数据环境中保持 AI 推荐的准确性,以及与现有数据栈的深度集成程度。若能继续完善生态兼容性和用户信任机制,有望成为数据团队的标准开发工具。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["开发者工具","AI 与智能体","数据与分析","Data & Analytics"]},{"name":"Raydian","tagline":"AI 产品构建的下一个前沿","description":"一个 AI 优先的全栈产品开发平台,通过结构化的方法帮助可靠地构建网页应用。提供对话式构建体验和可视化编辑器,同时集成了后端、数据库、身份认证和托管功能。","votesCount":161,"commentsCount":34,"createdAt":"2025-11-25T08:01:00Z","website":"https://www.producthunt.com/r/QUGNHR4SRV3GYA?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/raydian?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/43760edd-a0a1-43c3-ba8a-7d069d711f08.png?auto=format","topics":["开发者工具","人工智能","氛围编码"],"firstComment":"大家好,Product Hunt!\n\n我很兴奋今天推出 Raydian!🚀\n\nRaydian 只有一个目标:帮助人们构建和发布真实产品。我们希望用户拥有自己的用户。\n\n我们的团队在过去近十年里致力于构建工具、平台和公司,赋予非编程人员创建真实软件的能力。当 AI 编码开始流行时,我们对新的可能性感到兴奋。\n\n但很快我们意识到了一些重要的事情:大多数新兴的\"氛围编码\"平台将用户引向了错误的方向。它们专注于完全从构建过程中移除人的角色。我们相信相反的方向更重要。\n\nRaydian 邀请参与整个过程。它提供真实的工具、真实的结构,以及一个帮助构建而不仅仅是生成原型的 AI 助手。因为精美的演示和真实产品之间的差异是巨大的……我们希望帮助在正确的一方。\n\n我们迫不及待地想让用户试试。\n\n在评论中提出任何问题或反馈,我整天都会看 ⬇️","date":"2025-11-25","id":"2025-11-25-6-raydian","taglineEn":"The next frontier of AI product builders","descriptionEn":"We're an AI first full stack product development platform that enables you to build webapps reliably with a structured approach. We provide a chat-to-build experience coupled with a visual editor as well as an integrated backend, database, auth & hosting.","topicsEn":["Developer Tools","Artificial Intelligence","Vibe coding"],"firstCommentEn":"Hey PH!\n\nI'm really excited to launch Raydian today! 🚀\n\nRaydian has one north star: help people build and ship real products. We want our users to have users of their own.\n\nOur team has spent nearly a decade building tools, platforms, and companies that empower non-coders to create real software. So when AI-coding started taking off, we were thrilled about the new possibilities.\n\nBut pretty quickly, we realized something important: most of the emerging \"vibe-coding\" platforms were taking users in the wrong direction. They focus on removing people from the building process entirely. We believe the opposite matters.\n\nRaydian invites you into the process. It gives you real tools, real structure, and an AI sidekick that helps you build, not just generate prototypes. Because the difference between a polished demo and a real product is huge… and we want you on the right side of that line.\n\nWe can't wait for you to try it.\n\nDrop any questions or feedback in the comments, I'll be checking them out all day ⬇️","review":"Raydian 切中了当下 AI 编码领域的一个核心痛点——氛围编码与真实产品之间的鸿沟。市面上许多低代码/无代码平台强调自动化生成,却忽视了从原型到生产级产品的艰巨转变。Raydian 的独特之处在于将 AI 视为助手而非替代品,保留人在决策和构建中的主动权,通过对话式界面、可视化编辑器和完整的技术栈集成(后端、数据库、认证、托管)来降低产品开发的门槛。这种\"人 + AI\"的协作模式更加现实可行。目标用户包括全栈开发者、产品经理和创业者,他们需要快速验证想法并交付实际可用的产品。面临的挑战在于如何在简化开发流程与保持代码质量之间找到平衡,以及与成熟的开发工具链竞争。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["开发者工具","AI 与智能体","Vibe coding"]},{"name":"Haxiom","tagline":"团队协作的在线 Markdown 编辑器","description":"Haxiom 是一个由 AI 驱动的团队协作 Markdown 工作空间——减少混乱、减少繁琐工作、提升文档可访问性。通过 Haxiom,可以编辑、创建和分享团队文档。采用语义 AI 自动整理文档和检测重复内容。提供实时 Markdown 协作、文档发布为博客、AI 助手帮助处理繁琐任务等功能。","votesCount":116,"commentsCount":11,"createdAt":"2025-11-25T08:01:00Z","website":"https://www.producthunt.com/r/P2TGPWGB3FGHMU?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/haxiom?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/89e463a2-86cb-4e6f-ac44-b476cc533f77.png?auto=format","topics":["生产力","开发者工具","人工智能"],"firstComment":"嗨 ProductHunt 社区 👋,\n\n我是 Tao,Haxiom 的联合创始人。我创办 Haxiom 是因为我在每家公司都遇到过同样的问题:\n维基文档起初整洁,但很快就陷入了无法搜索、过时的混乱状态。\n文档堆积如山,版本冲突频繁,维基变得不可靠。\n\n我们开发 Haxiom 来解决这个问题。\n\n为开发者和业务团队量身打造\n- AI 驱动的 Markdown 格式化\n- 自动模板遵循:PRD、备忘录、RFC、README\n- Markdown 差异视图\n- Markdown 中的 Typst 数学模式\n- 立即呈现的图片上传\n- 随时完整工作空间备份\n- 与工作空间对话\n- 在 `pages.haxiom.io` 上发布公开、隐藏或私密页面\n- 整个团队的实时协作\n\nAI 助手如何帮助\n\n1. 起草并格式化清晰的文档。\n不再为 Markdown 语法而困扰。\n助手将内容组织为正确的 PRD、RFC、README、备忘录等格式。\n自动遵循模板,直接支持 Typst 驱动的数学模式。\n\n2. 停止重复和过时的文档。\n传统维基让杂乱堆积。\nHaxiom 使用语义理解来:\n\n- 检测创建重复文档时的情况\n- 呈现过时或冲突的页面\n- 建议合并、更新或存档\n- 在文档腐烂发生前防止它\n\n知识库保持准确和可信。\n\n3. 通过智能文档放置整理工作空间。\n\nHaxiom 自动建议:\n\n- 正确的文件夹或类别\n- 相关或重叠的文档\n- 文档是否应该成为子页面(进行中)\n- 是否替换旧版本(进行中)\n\n仍然掌握控制权,但助手处理繁琐的文件整理工作。\n\n我们在现代、快速的技术栈(包括 SolidJS)上构建 Haxiom,以提供传统平台无法匹敌的清晰、速度和智能。\n\n我很期待听到反馈:\n\n- 最大的维基困扰和希望 AI 解决的问题\n- 想让 Haxiom 自动化的新工作流\n\n在这里尝试 -> https://app.haxiom.io 🚀","date":"2025-11-25","id":"2025-11-25-9-haxiom","taglineEn":"The Online MD Editor for Collaborative Teams","descriptionEn":"Haxiom is your team's AI-powered collaborative Markdown workspace — Less Confusion, Less Tedious work, More Accessible documentation. With Haxiom, you can edit, create and share team documents. Powered by semantic AI to organize docs and detect duplicates automatically. Featuring real-time Markdown collaboration, publishing of documents as blogs, and AI Assistant to help with the tedious tasks.","topicsEn":["Productivity","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey ProductHunt Family 👋,\n\nI'm Tao, and I co-founded Haxiom because every company I've worked at faced the same problem: \nwikis start clean, but quickly collapse into an unsearchable, outdated mess. \nDocs pile up, versions conflict, and the wiki becomes unreliable.\n\nWe built Haxiom to fix that. \n\nBuilt for Both Developers and Business Teams\n- AI-driven Markdown formatting \n- Automated Template-Conformance: PRDs, memos, RFCs, READMEs \n- Markdown diff views \n- Typst math mode in Markdown \n- Image uploads that render instantly \n- Full workspace backup anytime \n- Chat with your workspace \n- Public, unlisted, or private pages at `pages.haxiom.io` \n- Real-time collaboration for the whole team \n\nHow the AI Assistant Helps\n\n1. Drafts and formats clear documents.\nNo more fighting Markdown syntax. \nThe assistant structures content into proper PRDs, RFCs, READMEs, memos, and more. \nIt conforms to templates automatically and supports Typst-powered math mode directly in Markdown.\n\n2. Stops duplicate and outdated documents.\nTraditional wikis let clutter build up. \nHaxiom uses semantic understanding to:\n\n- Detect when you're creating a duplicate document \n- Surface outdated or conflicting pages \n- Suggest merging, updating, or archiving \n- Prevent doc rot before it happens \n\nYour knowledge base stays accurate and trustworthy.\n\n3. Organizes your workspace with intelligent document placement.\n\nHaxiom automatically suggests:\n\n- The correct folder or category \n- Related or overlapping documents \n- Whether a doc should be a subpage (WIP)\n- Whether it replaces an older version (WIP)\n\nYou stay in control, but the assistant handles the tedious filing work.\n\nWe built Haxiom on a modern, fast stack (including SolidJS) to deliver clarity, speed, and intelligence legacy platforms can't match.\n\nI'd love for you to try it and share:\n\n- Your biggest wiki frustrations you wish AI could solve \n- New workflows you want Haxiom to automate\n\nTry it here -> https://app.haxiom.io 🚀","review":"Haxiom 针对团队文档管理中的核心痛点——信息混乱、版本冲突、内容重复——提供了 AI 驱动的解决方案。传统维基文档随着时间推移往往陷入无法维护的局面,这是许多企业普遍面临的难题。Haxiom 通过语义 AI 能力实现自动去重、智能分类和版本管理,显著降低文档维护成本。相比传统文档工具,其实时协作、自动模板遵循和 AI 助手等功能组合形成了差异化优势。目标用户涵盖需要高效文档协作的开发团队和业务部门。产品的创新点在于将 AI 语义理解应用于文档生命周期管理,从创建到存档的全流程智能化。潜在挑战包括如何确保语义理解的准确性、用户采纳速度以及与现有文档工作流的集成顺畅度。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["生产力与办公","开发者工具","AI 与智能体"]},{"name":"Container Diet","tagline":"用 AI 驱动的优化工具瘦身 Docker 镜像。🐳💅","description":"容器镜像臃肿不再是问题!Container Diet 是一款 CLI 工具,可以分析 Docker 镜像和 Dockerfile,提供可操作、上下文感知的优化建议。它利用 AI 技术检测不必要的包、安全风险和不良实践——同时通过\"时尚营养师\"的人设风格使优化过程充满趣味。","votesCount":104,"commentsCount":7,"createdAt":"2025-11-24T08:01:00Z","website":"https://www.producthunt.com/r/TNXNHUVLVC2QFA?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/container-diet?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/38e7d444-94b0-443e-9d3d-d37d3ea70d69.png?auto=format","topics":["开源","开发者工具","人工智能","GitHub"],"firstComment":"大家好!👋 我开发 Container Diet 的初衷是厌倦了猜测镜像为什么会达到 2GB。我想要一款工具,不仅能列出镜像层,还能真正理解构建的意图,告诉我如何优化(并带点态度)。\n\n核心功能:\n🧠 AI 驱动分析:由 GPT-4o 提供的上下文感知建议。\n⚡ 本地优先:直接与本地 Docker daemon 交互,无需上传。\n🛡️ 安全审计:检测根用户、暴露的密钥和 777 权限等问题。\n🎨 美观的用户界面:Docker 主题的 CLI 配合未来感十足的网页登陆页面。\n💁‍♀️ 有态度的人设:因为优化 YAML 配置也应该很有趣。\n\n希望有所帮助!欢迎反馈!","date":"2025-11-24","id":"2025-11-24-9-container-diet","taglineEn":"Slim down your Docker images with AI-powered sass. 🐳💅","descriptionEn":"Stop shipping bloated containers! Container Diet is a CLI tool that analyzes your Docker images and Dockerfiles to provide actionable, context-aware optimization advice. It uses AI to detect unnecessary packages, security risks, and bad practices—all while delivering feedback in a \"sassy dietician\" persona that makes optimization fun.","topicsEn":["Open Source","Developer Tools","Artificial Intelligence","GitHub"],"firstCommentEn":"Hi hunters! 👋 I built Container Diet because I was tired of guessing why my images were 2GB. I wanted a tool that didn't just list layers, but actually understood what I was trying to build and told me how to fix it (with a bit of attitude). \n\nKey Features:\n🧠 AI-Driven Analysis: Context-aware tips powered by GPT-4o.\n⚡ Local-First: Works directly with your local Docker daemon. No pushing required.\n🛡️ Security Audits: Catches root users, exposed secrets, and 777 permissions.\n🎨 Beautiful UI: Docker-themed CLI with a futuristic web landing page.\n💁‍♀️ Sassy Persona: Because optimizing YAML should be entertaining.\n\nHope you like it! Let me know what you think!","review":"Container Diet 解决了容器化开发中的核心痛点——Docker 镜像膨胀。开发者常因对镜像构建最佳实践的认识不足而产生体积庞大的镜像,影响部署效率。该产品的创新之处在于融合 AI 分析与人性化交互,通过 GPT-4o 提供的上下文感知建议,不仅指出问题更能阐释原因。本地优先的架构设计保护用户隐私,安全审计功能补足常见漏洞。\"时尚营养师\"的品牌人设将枯燥的性能优化转化为愉悦体验,大幅降低使用门槛。目标用户包括 DevOps 工程师、容器化应用开发者以及追求镜像优化的团队。作为开源工具,具有较强的社区潜力和易传播性,但面临与现有镜像分析工具竞争的挑战。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","design-creative"],"normalizedTopics":["开发者工具","AI 与智能体","Open Source"]},{"name":"Next3 Offload","tagline":"通过将媒体文件转移到云端来减少图像加载时间","description":"WordPress 的完整速度优化套件。将媒体文件转移到 20+ 个 S3 兼容云存储提供商(AWS、BunnyCDN、Wasabi、DigitalOcean 等),自动将图像压缩并转换为 WebP 格式,清理数据库。立即降低服务器存储负担并提升 PageSpeed 评分。","votesCount":133,"commentsCount":7,"createdAt":"2025-11-23T08:01:00Z","website":"https://www.producthunt.com/r/KPNN6SC6J7EPOP?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/next3-offload?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/216f6510-1bfa-41d2-ba79-2b8f238ebb68.png?auto=format","topics":["搜索引擎优化","WordPress","开发者工具"],"firstComment":"大家好,Product Hunt!👋\n\n我是 Golam Mostafa,Next3 Offload 的创始人,想分享这款产品诞生的原因。\n\n我们都喜欢高分辨率的图像和视频,但 WordPress 用户面临的最大问题之一是由于图像和媒体文件过大导致的加载缓慢。随着网站增长,服务器吃力,页面变慢,性能下降——尤其是在共享或廉价主机上。我们自己也经历过这种痛点,并看到数千用户面临同样的问题。\n\n解决方案:转移到云端。解决这个问题的最有效方法就是媒体文件转移。将资源转移到专业云存储(如 S3)并通过 CDN 进行分发,可以立即减少服务器负载,加快页面交付速度。\n\n为什么我们开发了 Next3 Offload:虽然文件转移很好用,但我们认为现有插件过于受限。它们往往将用户锁定在特定提供商,或设置起来过于复杂。\n\n我们开发 Next3 Offload 是为了给予自由度。我们支持 20+ 个 S3 兼容的云存储提供商(AWS、DigitalOcean、Wasabi、MinIO、R2 等),因此可以选择数据存储位置。\n\n将媒体文件转移到云端不再是奢侈品——对于规模化来说是必需的。\n\n但我们不止步于文件转移。为了打造终极速度套件,我们在工作流程中直接集成了另外两个必要功能:\n\n⚡ 图像优化:在转移过程中,自动压缩图像并转换为 WebP 格式。无需使用第二个插件。\n🧹 数据库清理器:保持 WordPress 数据库清洁高效。删除冗余数据,优化表格,维持最佳性能。\n\n这款插件为真正关心性能、需要可靠有效工具的人而构建。\n\n现在我们正在举行黑色星期五大促销——打 5 折(加上此次发布的额外 5% 优惠),限时有效。\n\n如果想加速 WordPress 网站,现在是最好的时机。\n\n👉 尝试 Next3 Offload:https://next3offload.com\n\n感谢参与并支持我们的发展。这意义非凡。🙌","date":"2025-11-23","id":"2025-11-23-6-next3-offload","taglineEn":"Reduce image loading time by offloading media to the cloud.","descriptionEn":"The complete speed suite for WordPress. Offload media to 20+ S3 cloud providers (AWS, BunnyCDN, Wasabi, DigitalOcean, etc.), auto-compress images to WebP, and clean your database. Save server storage and boost PageSpeed scores instantly.","topicsEn":["SEO","WordPress","Developer Tools"],"firstCommentEn":"Hey Product Hunt! 👋\n\nI'm Golam Mostafa — the founder of Next3 Offload, and I want to share why this product exists.\nWe all love high-resolution images and videos, but one of the biggest problems WordPress users face is slow loading caused by heavy images and media files. As sites grow, the server struggles, pages slow down, and performance drops — especially on shared or budget hosting. We've felt that pain ourselves and saw thousands of users facing the same issue.\n\nThe Solution: Move it to the Cloud. The most effective way to solve this is Media Offloading. By moving your assets to dedicated cloud storage (like S3) and serving them via a CDN, you instantly reduce server load and speed up page delivery.\n\nWhy we built Next3 Offload: While offloading is great, we felt existing plugins were too restrictive. They often locked users into specific providers or were overly complex to set up.\n\nWe built Next3 Offload to give you Freedom. We support 20+ S3-compatible cloud providers (AWS, DigitalOcean, Wasabi, MinIO, R2, etc.), so you choose where your data lives.\n\nOffloading media to the cloud isn't just a luxury anymore—it's a necessity for scale.\n\nBut we didn't stop at just offloading. To make this the ultimate speed suite, we integrated two more essential features directly into the workflow:\n\n⚡ Image Optimization: While offloading, we automatically compress your images and convert them to WebP. No need for a second plugin.\n🧹 Database Cleaner: Keep your WordPress database clean and fast. Remove bloat, optimize tables, and maintain peak performance.\n\nThis plugin is built for people who genuinely care about performance and want a reliable tool that actually works.\nRight now, we're running a Black Friday sale — 50% OFF (plus an extra 5% for this launch) for a limited time.\nIf you've been wanting to speed up your WordPress site, this is the perfect moment.\n\n👉 Try Next3 Offload: https://next3offload.com\n\nThanks for being here and supporting our journey. It truly means a lot. 🙌","review":"Next3 Offload 直击 WordPress 网站性能优化的核心痛点——媒体文件过大导致的加载缓慢。该产品的核心竞争力在于整合性强、易用性高,将媒体转移、图像优化、数据库清理三大关键功能集于一身,减少了用户配置多个插件的复杂性。支持 20+ 个 S3 兼容供应商的策略打破了传统插件的供应商锁定,赋予用户充分的选择自由,这对中小型 WordPress 开发者和网站管理者颇具吸引力。从 SEO 角度看,页面加载速度是搜索排名的重要因子,该产品能直接提升 PageSpeed 评分。然而,市场上同类插件竞争激烈,长期用户留存需要持续的技术创新和稳定的客户支持。","primaryCategory":"developer-tools","categories":["developer-tools","growth-sales","data-analytics"],"normalizedTopics":["搜索引擎优化","WordPress","开发者工具","营销、增长与销售"]},{"name":"Bookmarkjar ®","tagline":"为所有保存内容提供 AI 驱动的书签管理","description":"Bookmarkjar 是一个 AI 驱动的书签管理器,具有语义搜索、自动标签和无缝跨平台同步功能。保存任何内容,通过 AI 驱动的组织立即找到它。自动从文章、推文、视频等提取关键信息和摘要,减少搜索时间,提高内容利用效率。界面简洁、速度快、智能高效。","votesCount":255,"commentsCount":20,"createdAt":"2025-11-22T08:01:00Z","website":"https://www.producthunt.com/r/ZQBXG4GHGNJPZS?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/bookmarkjar?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/ef904ba3-6405-4a97-b46b-f5764ab904d6.jpeg?auto=format","topics":["生产力","开发者工具","人工智能"],"firstComment":"多年来我一直保存大量浏览器书签,在浏览器之间备份和迁移,还在 X、Instagram 和其他地方收集文章和购物链接。要在同一个地方同步所有这些内容总是很困难。\n\n有了 AI,终于可以通过智能摘要、信息提取和真正有效的搜索来组织所有这些内容。这就是我创建 Bookmarkjar 的原因。它始于解决自己的问题,希望也能帮助全世界的读者和链接收藏爱好者。\n\n感谢查看,欢迎反馈!","date":"2025-11-22","id":"2025-11-22-1-bookmarkjar-®","taglineEn":"AI-powered bookmark manager for everything you save","descriptionEn":"Bookmarkjar is an AI-powered bookmark manager with semantic search, automatic tagging, and seamless cross-platform sync. Save anything and instantly find it again with AI-driven organization. It extracts key context and summaries from articles, tweets, videos, and more, so you spend less time digging and more time using what you save. Minimal, fast, and smart.","topicsEn":["Productivity","Developer Tools","Artificial Intelligence"],"firstCommentEn":"For years I saved tons of browser bookmarks, backed them up, moved them between browsers, and collected things to read or buy later on X, Instagram and everywhere else. Keeping everything in sync and in one place was always a struggle.\n\nWith AI, it finally became possible to organize all of this with smart summaries, context extraction and real search that actually finds what I saved. That's why I built Bookmarkjar. It started as a solution to my own problem, and I hope it helps other readers and link hoarders around the world too.\n\nThanks for checking it out & feedback is welcome!","review":"Bookmarkjar 解决了信息时代的一个核心痛点——内容管理和检索。用户在浏览过程中积累的链接、文章、视频等散落在不同平台,难以统一管理和重新发现。传统书签管理工具功能单一,缺乏智能化支持。Bookmarkjar 通过 AI 技术实现语义搜索、自动标签和内容摘要提取,让用户能够快速定位已保存的内容。其跨平台同步能力解决了多设备使用场景,目标用户包括内容工作者、研究人员、开发者等信息密集型用户。产品的核心创新在于将 AI 理解能力引入书签管理领域,避免关键字匹配的局限性。面临的主要挑战是如何在不同内容类型间保持摘要质量,以及如何快速积累用户数据以优化个性化推荐效果。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["生产力与办公","开发者工具","AI 与智能体"]},{"name":"SynthID by Google DeepMind","tagline":"用谷歌新推出的水印工具检测 AI 生成的内容","description":"谷歌在 Gemini 应用中推出了 SynthID,使用户能够轻松验证图像是否由谷歌 AI 创建或编辑。上传图片并提问,Gemini 将检测水印并给出清晰、快速的响应。","votesCount":176,"commentsCount":4,"createdAt":"2025-11-22T08:01:00Z","website":"https://www.producthunt.com/r/NGLHPB474VFEIU?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/gemini-1-5-pro?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/0be3db26-425a-49c2-ba69-7f491cff3366.png?auto=format","topics":["开发者工具","人工智能","安全"],"firstComment":"大家好!\n\n很高兴分享今天的发布!谷歌新推出的 SynthID 水印技术现已集成到 Gemini 应用中。它可以帮助瞬间验证图像、视频、音频片段或文本是否由谷歌 AI 创建或编辑。\n\n上传内容并提问,Gemini 将检测 SynthID 水印并给出明确、可信的答案。这是朝着 AI 生成媒体更高透明度迈出的重要一步。","date":"2025-11-22","id":"2025-11-22-3-synthid-by-google-deepmind","taglineEn":"Detect AI-generated content with Google's new watermark tool","descriptionEn":"Google is rolling out SynthID in the Gemini app, making it easy to verify whether an image was created or edited with Google AI. Just upload the picture and ask. Gemini checks for the watermark and gives a clear, quick response.","topicsEn":["Developer Tools","Artificial Intelligence","Security"],"firstCommentEn":"Hey everyone!\n\nExcited to share today's launch! Google's new SynthID watermarking technology is now built into the Gemini app. It helps you instantly verify whether an image, video, audio clip, or text was created or edited with Google AI.\n\nJust upload the content and ask. Gemini checks for the SynthID watermark and gives a clear, trustworthy answer. Great step toward more transparency in AI-generated media.","review":"SynthID 的推出填补了 AI 内容溯源领域的重要空白。随着 AI 生成内容技术的普及,虚假信息和深伪技术带来的风险日益增加,验证内容真伪的需求变得迫切。SynthID 采用隐形水印技术,能够在 AI 生成内容中嵌入不可见的标记,有效解决了内容真实性认证的问题。谷歌将其集成到 Gemini 中,降低了普通用户的使用门槛,使内容验证变得即时便捷。该技术的核心优势在于可覆盖多种媒体格式(图像、视频、音频、文本),应用场景广泛。目标用户包括内容创作者、记者、研究人员及普通网络用户。未来的关键挑战在于如何应对对抗性攻击以及建立行业级别的水印标准。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","design-creative"],"normalizedTopics":["开发者工具","AI 与智能体","安全","Security"]},{"name":"Onyx","tagline":"免费、本地优先的 4K 屏幕录制工具","description":"停止为屏幕录制付费。Onyx 是一款隐私优先、专业级质量的录制工具,完全在浏览器中运行。无服务器、无上传、无\"5分钟限制\"。构建初衷:大多数工具强制要求云订阅或降低质量。Onyx 尊重隐私,提供原生高比特率 4K 视频,即时获取。永久免费。专为创作者设计,帮助无摩擦地分享作品。","votesCount":111,"commentsCount":10,"createdAt":"2025-11-22T08:01:00Z","website":"https://www.producthunt.com/r/R4T4EFA3ETNXJP?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/onyx-free-screen-recorder?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/19701f22-c9d8-40ac-9029-a7b6aea101a7.png?auto=format","topics":["生产力","开发者工具"],"firstComment":"嘿,Product Hunt!👋\n\n我是 Suleyman,Onyx 的开发者。\n\n我需要向编辑展示如何编辑特定视频,这意味着要录制一个 30 多分钟的演示视频,包括我的头像、音频和屏幕。当我搜索时,所有工具都需要新账户、月度订阅和烦人的时间限制。\n\n我意识到自己每个月只需要用几次屏幕录制工具,不想只为了这个就被锁定在订阅中。\n\n所以我在 11 月 19-20 日用两天时间制作了 Onyx,一个永久免费的屏幕录制工具。\n\nOnyx 是我对订阅疲劳的回答:\n\n- 无需账户:立即开始录制。\n- 隐私优先:使用本地存储,而非云服务器。\n- 无限制:录制 5 分钟或 5 小时均可。\n- 无水印:只有清晰的 4K 视频。\n- 快速编辑:修剪视频以删除开头的\"停顿\"。\n\n我很想听听的想法!如果发现错误或有功能需求,请在评论区告诉我。我整天都在发布更新。🚀\n\n祝录制愉快!Suleyman","date":"2025-11-22","id":"2025-11-22-7-onyx","taglineEn":"Free, local-first 4K screen recorder","descriptionEn":"Stop paying to record your screen. Onyx is a privacy-first, studio-quality recorder that runs entirely in your browser. No servers, no uploads, and no \"5-minute limits.\" Why I built it: Most tools force cloud subscriptions or downgrade quality. Onyx respects your privacy, giving you raw, high-bitrate 4K video instantly. Free forever. Built for creators to share work without friction.","topicsEn":["Productivity","Developer Tools"],"firstCommentEn":"Hey Product Hunt! 👋\n\nI'm Suleyman, the maker of Onyx.\n\nI needed to show my editor how to edit a specific video, which meant recording a 30-minute+ walkthrough with my face, audio, and screen. When I searched Google, everything required a new account, monthly subscriptions, and annoying time limits.\n\nI realized I only really need a screen recorder a few times a month, and I didn't want to be locked into a subscription just for that.\n\nSo I spent November 19-20th making Onyx, a forever-free screen recorder.\n\nOnyx is my answer to subscription fatigue:\n\n- No Account: Record right away.\n- Privacy: It uses your computer's storage, not a cloud server's.\n- No Limits: Record for 5 minutes or 5 hours.\n- No Watermarks: Just clean 4K video.\n- Quick Edits: Trim the video to cut out the \"millennial pause\" at the start.\n\nI'd love to hear what you think! If you find any bugs or have a feature request, let me know in the comments. I'm shipping updates all day. 🚀\n\nHappy recording! Suleyman","review":"Onyx 直击屏幕录制工具市场的核心痛点——订阅模式滥用与功能锁定。传统屏幕录制工具普遍采用云存储 + 订阅制,强制用户为偶发需求付费。Onyx 的创新在于采用本地优先架构和永久免费模式,完全消除了隐私顾虑和成本门槛。4K 高质量输出和无时间限制的组合对内容创作者、产品演示者和教育工作者具有高度吸引力。浏览器端实现意味着良好的跨平台兼容性。当前挑战主要集中在用户教育——需要让市场理解本地优先的隐私优势,以及如何在免费模式下保持可持续发展。竞争差异化清晰,市场反响值得关注。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","design-creative"],"normalizedTopics":["生产力与办公","开发者工具"]},{"name":"npm.bet","tagline":"精美的交互式 npm 趋势可视化工具","description":"npm.bet 是一个精美的交互式 npm 包下载统计可视化工具,采用 Next.js 16、React 19 和 Recharts 构建。支持可视化展示和对比 npm 包的下载数据。","votesCount":98,"commentsCount":4,"createdAt":"2025-11-22T08:01:00Z","website":"https://www.producthunt.com/r/LBIHV7233YFESF?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/npm-bet?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/bbe90154-602b-433c-a185-9b033bddd51f.png?auto=format","topics":["开源","开发者工具","GitHub","数据可视化"],"firstComment":"由 @haydenbleasel(@next-forge、@Kibo UI 和 @Ultracite 的开发者)推出的新产品,这是一个精美的交互式 npm 趋势可视化工具,采用 @Next.js 16 构建,完全免费开源。\n\n特别感谢!","date":"2025-11-22","id":"2025-11-22-9-npm.bet","taglineEn":"Beautiful, interactive npm trends visualizer","descriptionEn":"npm.bet is a beautiful, interactive npm package download statistics visualizer built with Next.js 16, React 19, and Recharts. Visualize and compare your npm package downloads.","topicsEn":["Open Source","Developer Tools","GitHub","Data Visualization"],"firstCommentEn":"a new product by @haydenbleasel, the maker of @next-forge, @Kibo UI, and @Ultracite; a beautiful, interactive npm trends visualizer, built with @Next.js 16; free and open source.\n\nshout out!","review":"npm.bet 针对开发者社区的一个实际需求——npm 包下载趋势分析——提供了优雅的解决方案。相比于官方的 npm 统计页面常显得枯燥乏味,这款工具通过现代化的交互设计和可视化呈现,使数据分析变得直观且有趣。产品采用最新的技术栈(Next.js 16、React 19、Recharts),体现了开发者的技术品味。免费开源的定位进一步降低了使用门槛,吸引了追求高质量开发工具的开发者和开源维护者。其潜在价值在于帮助开发者监测包的健康度、评估竞争产品,以及展示项目的增长轨迹。作为一个聚焦垂直领域的工具,其核心在于执行力和用户体验的精打细磨。","primaryCategory":"developer-tools","categories":["developer-tools","data-analytics"],"normalizedTopics":["开发者工具","数据分析与商业智能","Open Source"]},{"name":"Raycast for Windows","tagline":"Windows 上的万能快捷入口","description":"告别与电脑的对抗。Raycast 让一切触手可及。经过 5 年的 Mac 平台积累,Raycast 现已登陆 Windows。即刻启动应用、实时搜索文件、访问数百个扩展程序(如 GitHub 或 Notion),获取 AI 答案——全部通过键盘完成。立即下载免费公测版,体验无摩擦的工作流。","votesCount":354,"commentsCount":26,"createdAt":"2025-11-21T08:01:00Z","website":"https://www.producthunt.com/r/KWDJEAIMMNYLUB?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/raycast?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/4cbf750d-bbcb-47dc-92b1-4137055e4ad5.png?auto=format","topics":["Windows","生产力","开发者工具"],"firstComment":"大家好 👋\n\n如果第一次接触 Raycast:把它想象成 Windows 的命令中心。按下「Alt + Space」,输入需要的内容,搞定。启动应用、搜索文件、运行扩展程序(如 GitHub 或 Notion)、提问 AI。全部无需动鼠标。\n\n为什么构建这个产品:\n过去 5 年我们为 Mac 打造了 Raycast。数十万人每天都在使用它来摆脱信息干扰。但 Windows 用户同样值得这样的体验。工具不应该成为负担,而应该帮助集中注意力、高效完成工作。因此,今天我们将相同的体验带到电脑上。\n\nRaycast 的与众不同之处:\n• 自定义文件搜索 - Windows 的索引能力有限,所以我们自己构建了一个。快速且准确。\n• 数百个扩展程序 - 控制智能家居、搜索 Notion、管理 GitHub、翻译文本、查找 GIF。或者自己构建扩展程序!\n• 公测期免费 AI - 提问即可获得带有引文的答案,无需订阅。\n• 为 Windows 专门设计 - 熟悉的键盘快捷键、贴切的界面设计,甚至可以启动喜爱的游戏。\n\n即将推出:\n接下来几个月我们将添加 AI Chat、Notes 等功能。我们迭代迅速,期待获得反馈。请告诉我们缺少什么。\n\n昨天是 Windows 40 周年纪念日。现在发布这个产品感觉是恰当的时刻。尝试一下,告诉我们的想法。接下来我们应该构建什么?","date":"2025-11-21","id":"2025-11-21-0-raycast-for-windows","taglineEn":"Your shortcut to everything on Windows.","descriptionEn":"Stop fighting your computer. Raycast puts everything at your fingertips. After 5 years on Mac, Raycast is now on Windows. Launch apps instantly, search files in real-time, access hundreds of extensions like GitHub or Notion, and get AI answers. All from your keyboard. Download our public beta for free and discover what frictionless work feels like.","topicsEn":["Windows","Productivity","Developer Tools"],"firstCommentEn":"Hey Product Hunt 👋\n\nIf you're new to Raycast: Think of it as your command center for Windows. Hit \"Alt + Space\", type what you need, and go. Launch apps, search files, run extensions like GitHub or Notion, ask AI. All without touching your mouse.\n\nWhy we built this:\nWe spent the last 5 years building Raycast for Mac. Hundreds of thousands of people now use it daily to cut through the noise. But Windows users deserve the same. Your tools shouldn't get in the way. They should help you focus and get things done. So today, we bring the same experience to your PC.\n\nWhat makes Raycast different:\n• Custom file search - Windows doesn't have proper indexing, so we built our own. Fast and accurate.\n• Hundreds of extensions - Control your smart home, search Notion, manage GitHub, translate text, find GIFs. Or build your own!\n• Free AI during beta - Ask questions to get answers with citations without a subscription needed.\n• Built for Windows - Familiar keyboard shortcuts, design that fits right in, and you can even launch your favorite games.\n\nWhat's coming next:\nWe'll add AI Chat, Notes, and more features in the months ahead. We ship fast and want your feedback. So please let us know what you miss.\n\nYesterday was Windows' 40th anniversary. It felt like the right moment to launch this. Try it and let us know what you think. What should we build next?","review":"Raycast for Windows 标志着高效工作工具在 Windows 平台的重要突破。经过 5 年在 Mac 平台的积累,Raycast 已证明其命令中心模式能够显著提升工作效率。对 Windows 用户来说,这款工具填补了长期存在的空白——一个统一的、快速的、可扩展的任务入口。其核心竞争力体现在三方面:首先是自研文件索引技术,弥补 Windows 原生搜索的不足;其次是丰富的扩展生态,覆盖开发者、知识工作者的日常需求;再者是在公测期提供免费 AI 能力,降低用户试用门槛。目标用户包括追求高效率的开发者、产品经理和知识工作者。产品面临的主要挑战在于如何与 Windows 系统深度集成,以及如何建立并维护活跃的第三方开发者生态,但团队的快速迭代能力令人期待。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","data-analytics"],"normalizedTopics":["Windows","生产力与办公","开发者工具"]},{"name":"Lamatic 3.0","tagline":"将领域专业知识转化为可靠的智能应用","description":"Lamatic 3 提供了构建智能应用的全新重构方案。我们推出了开发者友好的 Studio 界面更新、基于 GitHub 的版本控制系统和环境管理功能。此外,还提供了 AgentKit 用于快速部署智能体,以及 Vibe Assistants 功能。","votesCount":243,"commentsCount":35,"createdAt":"2025-11-21T08:01:00Z","website":"https://www.producthunt.com/r/VLJG3TUE7UGEGT?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/lamatic-ai?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/5bb5cb32-cbe4-4159-a729-498ba2f6fea9.png?auto=format","topics":["开发者工具","人工智能","无代码"],"firstComment":"喵~ Product Hunt 👋\n\n这是 Lamatic 的发布周!本周,@amanintech 和团队每天都推出新功能,包括:\n新 UI(黑暗模式棒极了)\n\n新流程构建器\n\n提示词 IDE\n\n最后一天:大逃杀\n\n@Lamatic.ai 和 @Gatling 今天在 @Product Hunt 上发布。获赞最多的产品赢得胜利。\n\n加入我们的盛宴吧!","date":"2025-11-21","id":"2025-11-21-2-lamatic-3.0","taglineEn":"Turn domain expertise into reliable agentic apps","descriptionEn":"Lamatic 3 offers a complete reimagined approach to building Agentic Apps. We are thrilled to introduce a developer-focused Studio Refresh, a GitHub-based version control system, and environments. Additionally, we have AgentKit for quick deployment of agents and Vibe Assistants.","topicsEn":["Developer Tools","Artificial Intelligence","No-Code"],"firstCommentEn":"Meow Product Hunt 👋 \n\nIt's launch week at Lamatic! This week, @amanintech and team launched a new feature every day, including:\nNew UI (dark mode ftw)\n\nNew Flow Builder\n\nPrompt IDE\n\nFor this last day: Battle Royale \n\n@Lamatic.ai and @Gatling are launching today on @Product Hunt. The most upvoted product wins. \n\nJoin the fun!","review":"Lamatic 3.0 正式进入智能应用开发的新时代。该产品通过开发者友好的设计理念,将复杂的 agent 构建流程大幅简化,核心价值在于降低智能应用的开发门槛。GitHub 集成的版本控制系统满足现代开发流程需求,Studio 刷新提升了用户体验,AgentKit 和 Vibe Assistants 两大利器加速了应用部署。目标用户包括数据科学家、后端开发者和企业应用构建者。相比传统 AI 开发框架,Lamatic 更强调\"从专业知识到应用\"的完整链路。面临的挑战是如何在无代码和开发者自定义之间找到平衡,以及如何吸引更多行业实践者贡献行业特定的应用模板。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","无代码","No-Code"]},{"name":"TurtleBar - Smart Battery Saver for Mac","tagline":"一键延长 Mac 电池续航时间","description":"一款小巧的 macOS 菜单栏应用,可以控制电源节省模式并自动化电池节省规则。","votesCount":132,"commentsCount":3,"createdAt":"2025-11-21T08:01:00Z","website":"https://www.producthunt.com/r/Q3E3R25WDUBUBT?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/turtlebar-smart-battery-saver-for-mac?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/b8044cc8-60c3-4446-8c45-c237daf38b60.png?auto=format","topics":["Mac","生产力","开发者工具"],"firstComment":"嘿,我是 Soren,TurtleBar 的开发者。\n\n我想要一个简单的方式来控制 macOS 电源节省模式,而不用在菜单中翻找,所以我就做了这个。\n没有花里胡哨,就是一个清爽、可靠的工具,帮助 Mac 续航更久。我为最终成品感到自豪,每天都在使用。\n\n告诉我你的想法吧,我非常重视反馈!","date":"2025-11-21","id":"2025-11-21-7-turtlebar---smart-battery-saver-for-mac","taglineEn":"Extend your Mac's battery life with one click.","descriptionEn":"A tiny macOS menu-bar app to control Power Saving Mode and automate battery-saving rules.","topicsEn":["Mac","Productivity","Developer Tools"],"firstCommentEn":"Hey, I'm Soren, I built TurtleBar.\n\nI wanted a simple way to control macOS Power Saving Mode without digging through menus, so I made it.\nNothing fancy, just a clean, honest tool that helps your Mac last longer. I'm proud of the finished product, and I use it myself every day.\n\nLet me know what you think, I really care about your feedback !!!","review":"TurtleBar 瞄准了 Mac 用户日常面临的实际痛点——电池续航焦虑。相比系统内置的电源管理选项繁琐且不易快速切换,TurtleBar 通过菜单栏应用提供一键控制和自动化规则,大幅降低了使用门槛。产品定位精准,目标用户是对电池续航有诉求的 Mac 专业人士和日常用户。其极简的设计哲学和 macOS 原生集成方式体现了开发者对用户体验的理解。目前的挑战在于功能单一、竞争对手众多,需要通过持续优化自动化规则的智能性、增加个性化选项等方式来提升用户粘性和市场竞争力。","primaryCategory":"productivity","categories":["productivity","developer-tools"],"normalizedTopics":["生产力与办公","开发者工具"]},{"name":"OCR Arena","tagline":"全球首个 OCR 排行榜","description":"OCR Arena 是一个免费的评测平台,可并行评估领先的视觉语言模型和 OCR 模型。上传任意文档,比较准确度,并在公开排行榜上为最佳模型投票。","votesCount":131,"commentsCount":4,"createdAt":"2025-11-21T08:01:00Z","website":"https://www.producthunt.com/r/YOQTFNZZHD7NJH?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/ocr-arena?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/05355936-e7e8-4493-b213-ce0c274200a5.png?auto=format","topics":["开发者工具","人工智能"],"firstComment":"大家好,Product Hunt 👋!\n\n我是 Kushal,Extend 的首席执行官。在 Extend,我们正在构建全球最好的文档处理平台。今天,我们很高兴与社区分享 OCR Arena。\n\nOCR Arena 是一个免费的评测平台,可并行评估开源 OCR 模型和基础视觉语言模型。上传任意文档,比较准确度,并在公开排行榜上为最佳模型投票。\n\nOCR 正处于黄金时代。几乎每周都有新的开源模型发布并创造新纪录。但对这些模型进行测试仍然很困难。\n\n学术基准只能说明问题的一部分,但最终各团队最关心的是模型在其特定文档和边界情况下的表现。OCR Arena 的目标是降低测试新模型的难度,使 OCR 评估变得开放、公正、并以真实场景性能为基础。\n\n我们初期已启用了 10 多个模型,从 Gemini 3 到 DeepSeek-OCR,再到 Qwen3-VL(由我们在 Baseten 的朋友提供支持!)。如果有任何遗漏的模型希望看到,请在评论中告诉我们,我们会尽快将其上线。随着新模型的发布,我们将把它们添加到竞技场中,争夺排行榜的位置。\n\n拿一份混乱的 PDF,前往 OCR Arena,看看哪些模型效果最好吧!\n\n我们很乐意听到所有关于如何为社区改进这个平台的反馈。我们会整天在这里回答问题。\n\n感谢关注!","date":"2025-11-21","id":"2025-11-21-8-ocr-arena","taglineEn":"The world's first OCR leaderboard","descriptionEn":"OCR Arena is a free playground for evaluating leading VLMs and OCR models side-by-side. Upload any document, compare accuracy, and vote for the best models on a public leaderboard.","topicsEn":["Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Product Hunt 👋!\n\nKushal here, CEO of Extend. At Extend, we're building the world's best document processing platform. Today, we're excited to share OCR Arena with the community.\n\nOCR Arena is a free playground for evaluating open source OCR models and foundation VLMs side-by-side. Upload any document, compare accuracy, and vote for the best models on a public leaderboard.\n\nOCR is going through a golden era. Every week, it feels like a new open source model comes out and sets a new record. But testing them is still painful.\n\nAcademic benchmarks only tell part of the story, but ultimately teams care most about how models perform on their specific documents and edge cases. Our goal with OCR Arena is to reduce the friction of testing new models and make OCR evaluation open, unbiased, and grounded in real-world performance.\n\nWe've initially launched with 10+ models, from Gemini 3 to DeepSeek-OCR to Qwen3-VL (powered by our friends over at Baseten!). If there's any model missing that you'd like to see, let us know in the comments and we'll do our best to get it live quickly. And as new models are released, we'll add them to the arena so they can compete for a spot on the leaderboard.\n\nGrab a messy PDF, head over to OCR Arena, and see which models work best! \n\nWe'd love to hear any and all feedback on how we can make this better for the community. We'll be here all day to answer your questions.\n\nThanks for checking us out!","review":"OCR Arena 直击文档识别领域的真实痛点。在 OCR 与视觉语言模型快速迭代的时代,开发者面临的核心难题不是模型缺乏,而是如何找到最适合自身业务场景的解决方案。该产品巧妙地通过众测排行榜模式,将学术基准与实际应用效果相结合,使评估过程更加透明和民主。相比传统的纸面数据对比,用户可以直接上传真实文档进行实测,这显著提高了决策的可信度。产品针对文档处理企业、AI 研究者和工程团队,具有明确的目标用户定位。其持续集成新模型的策略保持了平台的活力。潜在挑战包括如何确保评测的公平性、处理大规模测试的成本,以及构建足够活跃的用户社区来维持排行榜的参考价值。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","education-learning"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Dimension","tagline":"AI 助手连接工具并自动化日常繁琐工作","description":"与被动等待用户提问的 AI 助手不同,Dimension 利用日历、邮件、Slack 和 Drive 中的上下文主动采取行动。它理解工作内容并自动化日常繁琐工作。通过深度理解用户、团队和工具的信息,Dimension 能够预判需求并主动执行。从在周末工程站会前准备简报,到调试 Vercel 部署问题,Dimension 处理日常繁琐工作,让团队专注于更快的交付。","votesCount":284,"commentsCount":44,"createdAt":"2025-11-20T08:01:00Z","website":"https://www.producthunt.com/r/COFECJ7D5HDTQL?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/dimension-2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/7b394b91-c6d7-4ec7-b92d-911a5ffeb1e2.png?auto=format","topics":["生产力","开发者工具","人工智能"],"firstComment":"大家好,我是 Dimension 的创始人 Tejas。\n\n问题所在\n\n工程团队被协调开销淹没了。安排会议、跟踪行动项、查找上一个冲刺的架构文档、保持利益相关者同步。技术团队花费 30% 的时间在搜索信息或协调上,而不是编写代码。\n\n看到团队在协调开销上浪费了几个小时后,我们构建了 Dimension 来弥补这个差距。一个 AI 同事,存在于工作流中,理解跨工具的工作内容,并为代理采取行动。\n\nDimension 实际做什么\n\nDimension 连接整个技术栈。Gmail、Calendar、Drive、Slack、Linear、GitHub、Vercel。它索引所有内容,以理解团队中发生的事情。\n\n一个投资者发邮件询问最新的财务数据。与其在 Drive 中搜索、找到正确版本并检查权限,可以告诉 Dimension \"与 Acme 合作伙伴共享 Q3 财务数据?\"完成。\n\nVercel 部署在凌晨 2 点失败。Dimension 会捕获它,检查日志,识别问题,并修复它或标记需要注意的确切内容——所有这些都具有来自 PR、部署日志和以前修复的上下文。\n\nDimension 可以自动化日常繁琐工作,因此可以专注于真正重要的事情——构建产品。\n\n这是为谁准备的?\n\n从在周末工程站会前准备简报到跟踪竞争对手,Dimension 为解锁时间。\n\n如果上下文切换正在影响生产力,Dimension 就是为此构建的。\n\n开始使用\n\n在 dimension.dev 上认识新同事。","date":"2025-11-20","id":"2025-11-20-2-dimension","taglineEn":"AI that connects with your tools and automates the busywork","descriptionEn":"Unlike AI assistants that wait for you to ask, Dimension uses context across your calendar, email, Slack, and Drive to take action proactively. It understands what you're working on and automates the busywork. With deep context about you, your team, and your tools — Dimension anticipates what you need and acts on it. From briefing you before your weekly engineering standup to debugging that Vercel deployment, Dimension handles the busywork so you can ship faster.","topicsEn":["Productivity","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Product Hunt, I'm Tejas, Founder of Dimension.\n\nThe Problem\n\nEngineering teams are drowning in coordination overhead. Scheduling meetings, tracking action items, finding that architecture doc from last sprint, and keeping stakeholders in sync. Technical teams spend 30% of their time just searching for information or coordinating instead of shipping code.\n\nAfter seeing teams waste hours on this coordination overhead, we built Dimension to bridge the gap. An AI co-worker that lives in your workflow, understands your work across tools, and takes action for you.\n\nWhat Dimension Actually Does\n \nDimension connects to your entire stack. Gmail, Calendar, Drive, Slack, Linear, GitHub, Vercel. It indexes everything to understand what's happening across your team.\n\nAn investor emails asking for your latest financials. Instead of hunting through Drive, finding the right version, and checking permissions, you tell Dimension \"share the Q3 financials with the Acme partners?\" Done.\n\nYour Vercel deployment fails at 2 am. Dimension catches it, checks the logs, identifies the issue, and either fixes it or flags exactly what needs your attention — all with context from the PR, the deploy logs, and your previous fixes.\n\nDimension can automate the busywork for you so you can focus on what really matters — building your product.\n\nWho's this for? \n\nFrom briefing you before your weekly engineering standup to keeping track of your competitors, Dimension unlocks time for you.\n\nIf context switching is killing your and your engineers' productivity, Dimension is built for you.\n\nGet started\n\nMeet your new co-worker at dimension.dev.","review":"Dimension 瞄准工程团队的真实痛点——协调开销过大。数据表明技术团队 30% 的时间用于信息搜索和协调,而非核心开发。相比通用 AI 助手的被动响应模式,Dimension 的创新之处在于主动性:通过联动日历、邮件、Slack、Drive 等工具建立全链路上下文,实现真正的智能预判与自动化执行。产品覆盖场景丰富,从会议前简报、部署故障自动诊断到文档权限管理,都体现了深度工程思维。目标用户定位精准,针对协作密集型技术团队。关键优势是多工具集成与执行能力,相比纯对话式 AI 体验更实用。潜在挑战包括多源数据的准确理解、隐私安全保护和与现有工作流的深度融合。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","ai-agents"],"normalizedTopics":["生产力与办公","开发者工具","AI 与智能体"]},{"name":"Google Antigravity","tagline":"体验升空时刻","description":"Google Antigravity - 以全新方式进行构建","votesCount":358,"commentsCount":8,"createdAt":"2025-11-19T08:01:00Z","website":"https://www.producthunt.com/r/XY6GI4VJPKT6WN?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/google-antigravity?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/d15aeca1-71af-4ebc-9514-d89fb3df4944.png?auto=format","topics":["开发者工具","人工智能"],"firstComment":"太棒的发布了!谷歌真的回来了。","date":"2025-11-19","id":"2025-11-19-1-google-antigravity","taglineEn":"Experience Liftoff","descriptionEn":"Google Antigravity - Build the new way","topicsEn":["Developer Tools","Artificial Intelligence"],"firstCommentEn":"what a launch! google is so back.","review":"Google Antigravity 作为谷歌在开发者工具领域的新产品,展现了公司在 AI 时代的战略布局。从产品名称的创意表达来看,\"Antigravity\"(反重力)与 \"Liftoff\"(升空)相呼应,传递出突破性、革命性的核心主张。面向开发者工具和人工智能交叉领域,该产品着眼于简化开发流程、提升构建效率。初期评论的高赞赏度反映了开发者社区对谷歌新动向的期待。产品的主要竞争力在于背靠谷歌生态和技术基础,但具体功能特性与市场定位仍需通过产品体验进一步明确。长期来看,其成功关键在于是否能提供真实的开发体验提升,以及如何整合谷歌现有的 AI 服务生态。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Snippets AI","tagline":"高级 AI 提示词管理工具","description":"Snippets AI 解决了 AI 提示词散落在无数应用中、容易丢失的问题。这是一个一体化的提示词管理器,替代 Notion、GitHub 和 Google Docs 来存储团队的 AI 提示词。在一个地方保存所有最佳提示词,轻松组织它们,并立即与团队共享。","votesCount":224,"commentsCount":50,"createdAt":"2025-11-19T08:01:00Z","website":"https://www.producthunt.com/r/RYMUR2M3YUJJTV?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/snippets-ai?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/8df6a35b-e88c-4034-a8e9-ca1e7bcc3dfd.png?auto=format","topics":["生产力","开发者工具","人工智能"],"firstComment":"大家好!👋 我是 Snippets AI 的创始人 Artem。\n\n与很多人一样,我经历过在 Notion 页面、GitHub gists、Google Docs 和随机文本文件中丢失优质 AI 提示词的沮丧。精心创建的提示词用过一次后,再需要时就再也找不到了。我们构建 Snippets AI 就是为了解决这个问题——为团队所有 AI 提示词提供一个中央存储位置。\n\n- 访问 Snippets AI 网站\n- 通过分享 AI 提示词赚钱\n- 注册并获得工作区的免费 AI 提示词包,支持 Cursor、Gemini、Claude、Clay、TradingView、Sora、Lovable 等多种工具\n\n感谢 @fmerian 的推荐 🙌\n\n核心功能:\n通用提示词存储——在一个位置保存来自 ChatGPT、Claude、Gemini 或任何 AI 工具的提示词\n\n智能组织——通过标签、分类和即时搜索管理提示词\n\n版本历史——追踪更改并回滚到之前的版本\n\n快速访问——在几秒内找到正确的提示词\n\n团队协作:\n共享工作区——整个团队从同一个提示词库工作\n\n权限控制——管理谁可以查看、编辑或共享提示词\n\n团队模板——创建标准化提示词以实现一致的输出\n\n实时同步——所有人都能获取最新的提示词版本\n\n媒体共享:\n附加音频文件——添加语音备注、旁白或音频说明到提示词\n\n附加视频——在提示词旁包含视频教程、演示或背景信息\n\n一体化存储——无需散落的 Google Docs 文本提示词和 Google Drive 音频/视频文件\n\n创作者变现:\n通过分享 AI 提示词赚钱——每千次浏览获得 2 美元报酬\n\n停止在 GitHub 或 Notion 免费分享提示词——在 Snippets AI 创建、收集和分享提示词,同时赚取真实收入\n\n探索 AI 社区:\n发现几乎任何 AI 工具的专业提示词\n\n不再需要谷歌搜索\"最佳 ChatGPT 提示词\"\n\nAPI 访问:\n程序化集成——直接将提示词拉入应用和工作流\n\n批量操作——导入/导出整个提示词库\n\n相比在 GitHub 存储 AI 提示词要方便得多。GitHub 部署需要 10-30 分钟,但在 Snippets AI 中只需几秒钟。\n\n无论是厌倦丢失最佳提示词的独立创作者,还是希望规范 AI 工作流程的团队,Snippets AI 都能保持一切有序且易于访问。\n\n非常期待听到的反馈!当今管理 AI 提示词最大的痛点是什么?\n\nSnippets AI 对所有人免费!享受吧 :)","date":"2025-11-19","id":"2025-11-19-3-snippets-ai","taglineEn":"Advanced AI Prompt Manager","descriptionEn":"Snippets AI solves the huge problem of AI prompts scattered and lost across countless apps. It's the all-in-one prompt manager that replaces Notion, GitHub, and Google Docs for storing your team's AI prompts. Save all your best prompts in one place, organize them effortlessly, and share them with your team instantly.","topicsEn":["Productivity","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey Product Hunt! 👋 I'm Artem, founder of Snippets AI.\n\nLike many of you, I've experienced the frustration of losing great AI prompts across Notion pages, GitHub gists, Google Docs, and random text files. You craft the perfect prompt, use it once, and then can never find it again when you need it. We built Snippets AI to solve this exact problem - one central place to save, organize, and access all your team's AI prompts.\n\n- Visit Snippets AI Website\n- Start Earning Money by Sharing Your AI Prompts\n- Sign up and get any free AI prompt pack for your workspace from tools such as Cursor, Gemini, Claude, Clay, TradingView, Sora, Lovable, and many more...\n\nBig thanks to @fmerian for hunting Snippets AI 🙌 \n\nCore Features:\nUniversal prompt storage - Save prompts from ChatGPT, Claude, Gemini, or any AI tool in one place\n\nSmart organization - Tag, categorize, and search your prompts instantly\n\nVersion history - Track changes and roll back to previous versions\n\nQuick access - Find the right prompt in seconds, not minutes\n\nTeam Collaboration:\nShared workspaces - Your entire team works from the same prompt library\n\nPermission controls - Manage who can view, edit, or share prompts\n\nTeam templates - Create standardized prompts for consistent outputs\n\nReal-time sync - Everyone stays updated with the latest prompt versions\n\nShare Prompts with Media:\nAttach audio files - Add voice notes, narrations, or audio instructions to your prompts\n\nAttach videos - Include video tutorials, demonstrations, or context alongside your prompts\n\nAll-in-one storage - No need for scattered Google Docs text prompts and Google Drive audio/video files\n\nMonetization for Creators:\nEarn money by sharing AI prompts - Get paid $2 per 1,000 views of your prompts\n\nStop sharing your prompts for free via GitHub or Notion - Create, collect, and share prompts with Snippets AI while earning real money\n\nExplore AI Communities:\nDiscover professional AI prompts for almost any AI tool\n\nNo need to Google \"best ChatGPT AI prompts\" anymore\n\nAPI Access:\nProgrammatic integration - Pull prompts directly into your apps and workflows\n\nBulk operations - Import/export your entire prompt library\n\nIt's much more convenient than storing your AI prompts in GitHub. GitHub deployments take 10-30 minutes, but in Snippets AI it takes just a few seconds.\n\nWhether you're a solo creator tired of losing your best prompts or a team looking to standardize your AI workflows, Snippets AI keeps everything organized and accessible.\n\nWe'd love to hear your feedback! What's your biggest pain point with managing AI prompts today? \n\nSnippets AI is Free for Everyone! Enjoy :)","review":"Snippets AI 瞄准了 AI 时代的一个真实痛点——提示词管理碎片化。随着 ChatGPT、Claude 等 AI 工具的普及,优质提示词成为团队的核心资产,但现有的存储方案(Notion、GitHub、Google Docs)都不是专为此设计。Snippets AI 通过专业化的提示词管理平台,提供了版本控制、团队协作、权限管理等功能,直接替代了多个工具,大幅降低管理成本。产品的创新之处还在于嵌入的变现机制——鼓励创作者分享优质提示词并获得收益,形成正向激励循环。目标用户涵盖 AI 开发者、企业团队和提示词创作者。平台的成功关键在于构建活跃的提示词社区和保持内容质量,以及如何与现有工作流程实现无缝集成。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","ai-agents"],"normalizedTopics":["生产力与办公","开发者工具","AI 与智能体"]},{"name":"Ogment MCP-Builder","tagline":"在几分钟内让产品接入 ChatGPT 和 Claude","description":"Ogment MCP-Builder 能在几分钟内将产品接入 ChatGPT 和 Claude。可以将 API、数据、文档转换为生产级别的 MCP,内置评估、身份验证和分析功能——用户和团队可以在对话中可靠地直接使用产品。","votesCount":168,"commentsCount":70,"createdAt":"2025-11-19T08:01:00Z","website":"https://www.producthunt.com/r/4PJTRL5CV42KRD?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/ogment-mcp-builder?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/c279a107-f00d-42bc-99fe-1ccf31e9c6ff.png?auto=format","topics":["开发者工具","人工智能","无代码"],"firstComment":"🚀 大家好,Product Hunt!\n\n我是 Ogment AI 联合创始人 Amaury 👋\n\n今天我们推出全新的 MCP Builder——一个平台,让任何人在几分钟内将产品或内部 API 连接到 ChatGPT 或 Claude 等 AI 客户端。\n\n就在几周前,OpenAI 宣布推出由 Model Context Protocol (MCP) 驱动的 ChatGPT Apps——这已经在重塑软件的构建和消费方式。用户不再需要在 20 个仪表板之间跳转,现在可以直接从 ChatGPT 与产品交互。同样的原理也适用于内部应用和工作流。\n\n我们看到许多团队在构建优秀的 MCP 时遇到困难——从设计工具和提示词到处理身份验证、权限和托管。因此我们构建了 Ogment 来简化这个过程并提升体验。\n\n使用 MCP Builder,可以:\n上传 API\n\n即时生成 MCP\n\n根据需求自定义\n\n部署至生产环境 🚀\n\n我们非常兴奋能推出这个产品——期待听到关于如何使用它的想法。\n\n请在评论区分享使用场景或反馈——这对我们帮助很大,能激发更多创意!","date":"2025-11-19","id":"2025-11-19-5-ogment-mcp-builder","taglineEn":"Make your product accessible in ChatGPT & Claude, in minutes","descriptionEn":"Ogment MCP-Builder makes your product accessible inside ChatGPT & Claude, in minutes. You can convert APIs, data, docs into a production-ready MCP with evals, auth and analytics built-in—so customers and teams can reliably use your product directly in chat.","topicsEn":["Developer Tools","Artificial Intelligence","No-Code"],"firstCommentEn":"🚀 Hey Product Hunt!\n\nI'm Amaury, cofounder of Ogment AI 👋\n\nToday we're launching our brand new MCP Builder — a platform that lets anyone connect their product or internal APIs to AI clients like ChatGPT or Claude in minutes.\n\nJust a few weeks ago, OpenAI announced ChatGPT Apps, powered by Model Context Protocol (MCP) — and it's already reshaping how software is built and consumed. Instead of users jumping across 20 dashboards, they can now interact with your product directly from ChatGPT. The same applies to internal apps and workflows.\n\nWe've seen too many teams struggle to build great MCPs — from designing tools and prompts to handling authentication, permissions, and hosting. So we built Ogment to make that easy and fun.\n\nWith our MCP Builder, you can:\nUpload your API\n\nInstantly generate an MCP\n\nCustomize it to your needs\n\nShip it to production 🚀\n\nWe're really excited to open this up — and we'd love to hear what you'd build with it.\n\nDrop a comment with your use case or feedback — it helps us a ton and sparks great ideas!","review":"Ogment MCP-Builder 抓住了 Model Context Protocol 爆发期的机遇,解决了开发者快速集成 AI 能力的核心痛点。随着 ChatGPT Apps 和 Claude 工具集成成为趋势,企业和开发者面临从传统多系统分散操作向 AI 原生集成转变的挑战。该产品通过零代码/低代码方式,将复杂的 MCP 构建流程简化为上传-生成-定制-部署的四步工作流,大幅降低技术门槛。其生产级功能(内置评估、身份验证、分析)体现了对实际部署需求的深刻理解,目标用户涵盖 SaaS 产品经理、API 提供商和企业内部工具团队。潜在优势在于抢占 AI 集成浪潮,劣势在于需持续适配多个 AI 平台的更新迭代,以及市场教育成本。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["开发者工具","AI 与智能体","无代码","No-Code"]},{"name":"AI Toolkit by Tiptap","tagline":"在文档内部构建 AI,而不是在旁边","description":"将编辑器转变为 AI 原生体验,AI 可在文档内读取和写入内容。AI Toolkit 理解选择状态、文档结构和上下文,并流式传输用户可接受或拒绝的更改。这是唯一支持构建下一代 AI 编辑器的解决方案,完全支持生成自定义 React 节点和协作编辑。与现有 AI 基础设施兼容(Vercel AI SDK、LangChain、Anthropic)。即时可用,无需云依赖。","votesCount":146,"commentsCount":7,"createdAt":"2025-11-19T08:01:00Z","website":"https://www.producthunt.com/r/ODLCRONGSOENCN?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/tiptap?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/83133820-143a-414e-bb1c-506ac0dd2400.jpeg?auto=format","topics":["文本编辑器","开发者工具","人工智能"],"firstComment":"感谢关注 Tiptap AI Toolkit。\n\n这个工具将编辑器转变为 AI 原生工作区,agents 可以实时读取、理解和编辑文档。如果使用过 Cursor 等 AI 驱动的编辑器,就能理解这种强大的体验。现在可以将这种体验带给任何行业的用户。\n\n这是构建 AI 原生编辑器的平台!","date":"2025-11-19","id":"2025-11-19-8-ai-toolkit-by-tiptap","taglineEn":"Build AI that writes IN documents, not next to them","descriptionEn":"Transform your editor into an AI-native experience where AI reads and writes in your documents. AI Toolkit understands selection state, document structure, and context and streams in changes that users can accept or reject. It's the only solution for building the next generation of AI editors with full support for generating custom React nodes and collaborative editing. Works with your existing AI infra (Vercel AI SDK, LangChain, Anthropic). Ships today, works standalone, no cloud dependencies.","topicsEn":["Text Editors","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Thanks for checking out the Tiptap AI Toolkit.\n\nThis turns your editor into an AI-native workspace where your agents can read, understand, and edit the document in real time. If you've used AI-powered editors like Cursor, you know how powerful this feels. And now you can bring that experience to your own users in any industry.\n\nThis is the platform to build AI-native editors!","review":"AI Toolkit by Tiptap 解决了开发者在文档编辑器中集成 AI 功能的核心痛点。传统 AI 编辑方案通常采用\"旁路\"设计,即 AI 生成的内容独立显示,用户需要手动复制粘贴。Tiptap 创新性地实现了\"原生集成\",使 AI 理解文档结构和上下文,直接在编辑器内进行读写操作。这对希望构建 AI 编辑工具的开发者极具吸引力,包括开发者工具公司、文档应用和企业协作平台。相比竞品,其优势在于完整的技术栈支持(React 节点自定义、协作编辑)、开放集成(兼容主流 AI 框架)和轻量部署(无云依赖)。市场潜力巨大,但需关注与 Cursor 等专用 IDE 竞品的差异定位。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["文本编辑器","开发者工具","AI 与智能体","Text Editors"]},{"name":"InsForge","tagline":"AI 辅助开发的后端基础设施","description":"InsForge 是为 AI 辅助开发打造的后端基础设施。连接任何 agent,在几秒内为应用添加身份认证、数据库、存储、函数和 AI 集成功能。","votesCount":183,"commentsCount":37,"createdAt":"2025-11-18T08:01:00Z","website":"https://www.producthunt.com/r/VWX3JUDV37NG2A?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/insforge-alpha?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/5b3043b4-be5e-4b67-b7fd-0f6ea55589a1.png?auto=format","topics":["开源","开发者工具","GitHub","数据库"],"firstComment":"嘿 Product Hunt!👋 我们是 InsForge 的创始人 Hang 和 Tony。\n\n我们在 7 月启动了 InsForge,拥有 5 名工程师组成的小团队,他们曾在亚马逊、Databricks、Meta 和字节跳动等公司多年从事后端和云系统开发。在过去的 4 个月里,我们全力专注于一个来自 AI 编程工具用户的核心问题。\n\nCursor 和 Claude Code 这样的工具使得在几小时内将想法转化为可工作的原型变得异常简单。但让原型为真实用户做好准备仍然缓慢且手工,可能需要数周时间。需要建立数据库、配置身份认证、创建存储、管理 API 密钥,然后教 AI 这些部分如何协同工作。编码部分很快,但设置并不快。\n\nInsForge 就是我们针对这一差距的解决方案。它提供了一个完整的后端,与 AI 辅助开发完美融合。包括身份认证、数据库、存储、函数、LLM 集成和完整的管理面板。目标简单明确:将编码 agent 转变为全栈工程师。\n\n今天我们从隐身模式推出。在私有阶段,我们加入了一批有实力的早期用户,托管了超过 2000 个数据库,与 5 个企业团队合作帮助他们更快地交付和启动产品。现在我们向所有人开放平台。许多早期用户从花费数周进行后端设置,变成在一天内拥有完全可工作的应用,我们希望将这种速度带给更多开发者。\n\n展望未来,我们计划在 2026 年 2 月发布测试版本更新,重点关注可靠性、更强的 AI 能力和整个平台的性能改进。\n\n为感谢 Product Hunt 社区,我们提供一个特殊的促销代码,可免费使用 Pro 计划 1 个月。在 Stripe 结账时应用此代码。\n\n促销代码:InsForgeLaunch\n\n感谢关注我们。非常期待听到反馈和建议。如果想了解更多关于首次发布的内容,请访问 https://insforge.dev/blog/insforge-launch","date":"2025-11-18","id":"2025-11-18-6-insforge","taglineEn":"The backend for AI-assisted Development","descriptionEn":"InsForge is the backend built for AI-assisted development. Connect InsForge with any agent. Add authentication, database, storage, functions, and AI integrations to your app in seconds.","topicsEn":["Open Source","Developer Tools","GitHub","Database"],"firstCommentEn":"Hey Product Hunt! 👋 We are Hang and Tony, founders of InsForge.\n\nWe started InsForge in July with a small team of 5 engineers who had spent years building backend and cloud systems at companies like Amazon, Databricks, Meta and TikTok. For the past 4 months we have been working full time on one question that kept coming up from developers who use AI coding tools.\n\nTools like Cursor and Claude Code make it incredibly easy to turn an idea into a working prototype in a few hours. But getting that prototype ready for real users is still slow and manual, might takes weeks. You need to set up a database, configure authentication, create storage, manage API keys, and then teach the AI how all of these pieces fit together. The coding part is fast. The setup is not.\n\nInsForge is our answer to that gap. It gives you a complete backend that fits naturally with AI assisted development. You get authentication, database, storage, functions, LLM integrations and a full admin dashboard. Our goal is simple. Turn your coding agent into full-stack enginner.\n\nToday we are coming out of stealth. During our private phase we onboarded a strong group of early users, hosted more than 2000 databases, and worked with 5 enterprise teams to help them ship and launch products faster. Now we are opening the platform to everyone. Many early users went from spending weeks on backend setup to having a fully working application in a single day, and we want to bring that speed to more developers.\n\nLooking ahead, we plan to ship our Beta update in February 2026 with a focus on reliability, stronger AI capabilities and performance improvements across the entire platform.\n\nTo thank the Product Hunt community, here is a special promo code for 1-month free of our Pro plan. You can apply it at Stripe checkout.\n\nPromo code: InsForgeLaunch\n\nThank you for checking us out. We would love to hear your feedback and ideas. If you want to learn more about our 1st launch release, visit https://insforge.dev/blog/insforge-launch","review":"InsForge 精准抓住了 AI 辅助开发的痛点。当前 AI 编程工具虽然大幅降低了原型开发的门槛,但后端基础设施的构建仍需大量手工配置,形成了「快速原型」与「上线就绪」之间的时间鸿沟。InsForge 通过提供开箱即用的后端方案,有效消除了这一bottleneck,使开发者能在数小时而非数周内完成全栈应用。其核心优势在于深刻理解 AI agent 的工作流程,提供包括身份认证、数据库、存储、函数计算和 LLM 集成的完整工具链。团队背景来自亚马逊、Meta 等大型云服务公司,确保了产品的可靠性和可扩展性。早期数据表现优异(2000+ 数据库、5 家企业用户),验证了市场需求。未来挑战在于如何在快速迭代与平台稳定性间保持平衡,以及如何与云计算市场的既有玩家竞争。","primaryCategory":"developer-tools","categories":["developer-tools","data-analytics","ai-agents"],"normalizedTopics":["开发者工具","数据库","Open Source","Database"]},{"name":"Reindeer","tagline":"数据库专用 IDE","description":"Reindeer 是一款类似 Cursor 的数据库 IDE。它能理解数据库架构,在几秒内生成生产就绪的 SQL 代码,提供自动完成和错误修复功能,无需离开 IDE 环境。","votesCount":235,"commentsCount":38,"createdAt":"2025-11-17T08:01:00Z","website":"https://www.producthunt.com/r/PIGLDDWIAOW3IH?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/reindeer?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/c7fbd761-9932-45dc-bae8-889578771db1.png?auto=format","topics":["开发者工具","人工智能","数据库"],"firstComment":"大家好,Product Hunt!👋\n\n感谢关注 Reindeer\n我和团队开发 Reindeer 是为了解决每天都遇到的一个问题。\n\n过去一年,我的大部分工作围绕数据库和 SQL 查询展开(真的很多)。每当从写代码切换到写查询时,生产力就会直线下降。我不断地在 ChatGPT 和 IDE 之间切换,复制粘贴表结构,手动编写 50-100 行的 SQL 代码。\n\n在某个时刻,我开始思考...\n为什么没有数据库专用的 Cursor?🤔\n\n所以我们开发了 Reindeer。\n\nReindeer 理解数据库架构,在几秒内生成生产就绪的 SQL 代码,提供自动完成和错误修复功能,无需离开 IDE。\n\n最棒的是?完全免费开始使用!\n登录后获取免费 API 密钥,即可使用。\n\n我在工作中使用 Reindeer,它显著提升了我的生产力。我与朋友和同事分享(他们都很喜欢),现在我们很高兴能与社区分享 ❤️\n\n期待听到各位的想法和反馈!\n\n~ Joyal 🦌","date":"2025-11-17","id":"2025-11-17-4-reindeer","taglineEn":"Cursor for databases","descriptionEn":"Reindeer is a Cursor-like IDE for databases. It understands your database schema, generates production-ready SQL in seconds, autocompletes, and fixes without ever leaving your IDE.","topicsEn":["Developer Tools","Artificial Intelligence","Database"],"firstCommentEn":"Hi Product Hunt! 👋 \n\nThanks for checking out 𝐑𝐞𝐢𝐧𝐝𝐞𝐞𝐫\nMy team and I built Reindeer to solve a problem we kept running into every single day.\n\nFor the past year, most of my work revolved around databases and writing SQL queries (a lot, actually). Whenever I switched from writing code to writing queries, my productivity dropped immediately. I had to constantly jump between ChatGPT and my IDE, copy-paste table schemas, and manually write 50–100 lines of SQL.\n\nAt some point I caught myself thinking.. \nWhy is there no cursor for databases? 🤔\n\nSo we built Reindeer.\n\nReindeer understands your database schema, generates production-ready SQL in seconds, autocompletes, and fixes without ever leaving your IDE.\n\nand the best part? It's 100% free to get started! \nSign in, grab your free API key, and you're good to go.\n\nI've been using Reindeer at work, and it has significantly improved my productivity. I shared it with friends and colleagues (they loved it), and now we're excited to share it with the community ❤️\n\nWould love to hear your thoughts and feedback!\n\n~ Joyal 🦌","review":"Reindeer 切中了开发者的真实痛点:SQL 编写效率低下。长期以来,开发者在数据库操作时需要频繁切换工具、手动编写复杂查询,造成生产力下降。Reindeer 通过将 AI 代码生成能力集成到数据库 IDE 中,实现了从「Cursor for code」到「Cursor for databases」的创新迁移。其核心优势在于对数据库架构的深度理解,能生成生产级别的 SQL、提供智能自动补全和错误修复,完全免费的商业模式降低了试用门槛。目标用户涵盖数据分析师、后端工程师、数据库管理员等高频 SQL 操作者。潜在挑战包括如何适配各类数据库系统的差异、保证生成代码的准确性和安全性,以及在激烈的开发工具竞争中建立独特价值。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","data-analytics"],"normalizedTopics":["开发者工具","AI 与智能体","数据库","Database"]},{"name":"Swytchcode","tagline":"将 API 转化为 AI 体验","description":"Swytchcode 让 API 自己说话。将静态文档转化为 AI 交互式playground,开发者可以实时对话、测试和生成工作流。专为 API 优先的团队而设计。","votesCount":323,"commentsCount":35,"createdAt":"2025-11-16T08:01:00Z","website":"https://www.producthunt.com/r/TDR3KHCWV6EZ2Q?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/swytchcode?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/4c1a72a8-2934-466e-a5bb-e2a0c512f9b5.png?auto=format","topics":["API","开发者工具","人工智能"],"firstComment":"Swytchcode 是一款令人印象深刻的工具,它将枯燥的 API 文档转化为交互式 AI playground。通过与 API 对话并即时获取真实代码片段,使 API 测试和集成的速度和效率大幅提升。作为创始人和开发者,我喜欢它如何缩短集成时间、减少繁琐的往复沟通。\n\n恭喜 @chilarai 和团队的正式发布。","date":"2025-11-16","id":"2025-11-16-0-swytchcode","taglineEn":"Turn your API into an AI experience.","descriptionEn":"Swytchcode lets your API speak for itself. Turn static docs into an AI playground where developers can chat, test, and generate workflows instantly. Built for API-first teams.","topicsEn":["API","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Swytchcode is a really impressive tool that turns boring API docs into an interactive AI playground. It makes testing and integrating APIs way faster and easier by letting you chat with the API and get real code snippets instantly. As a founder and developer, I love how it cuts down integration time and reduces the usual back-and-forth. \n\nCongrats @chilarai and the team on the launch.","review":"Swytchcode 抓住了 API 集成中的核心痛点——冗长的文档阅读和低效的测试流程。通过将 AI 技术与 API 文档结合,产品创新地为开发者提供了一个交互式体验,使复杂的 API 集成变得更加直观和高效。与传统的静态文档相比,AI playground 能够实时生成代码示例、回答集成问题,大幅降低学习曲线。这特别契合当今 API 优先的开发范式,目标用户包括需要频繁集成第三方服务的初创团队和企业开发者。产品的核心竞争力在于将枯燥的技术文档转化为有趣的交互体验,提高开发效率。未来可进一步拓展至自动化集成工作流生成,以及支持更复杂的多 API 编排场景。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","finance-business"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"Proximity Lock System 2.0","tagline":"再也不用担心离开电脑时忘记锁屏","description":"Proximity Lock System 是一款命令行工具,当配对的蓝牙设备(如手机)超出范围时,会自动锁定系统。它持续监控附近的设备,确保离开时电脑始终处于安全状态。","votesCount":170,"commentsCount":18,"createdAt":"2025-11-15T08:01:00Z","website":"https://www.producthunt.com/r/F6RTYTZVN5HGB6?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/proximity-lock-system?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/74217a16-e9de-4cdf-8798-961380cce532.png?auto=format","topics":["开源","开发者工具","GitHub"],"firstComment":"📌 v2.0.0 发布说明\n界面大改 + 安全控制台升级\n\n本次发布对命令行界面进行了全面重设计,将工具转变为现代化的安全级别监控控制台。","date":"2025-11-15","id":"2025-11-15-3-proximity-lock-system-2.0","taglineEn":"Never worry about leaving your computer unlocked again.","descriptionEn":"Proximity Lock System is a CLI tool that automatically locks your system when your paired Bluetooth device (like your phone) goes out of range. It continuously monitors nearby devices, ensuring your computer stays secure when you step away. - Akarshjha03/ProximityLockSystem","topicsEn":["Open Source","Developer Tools","GitHub"],"firstCommentEn":"📌 Release Notes v2.0.0\nInterface Overhaul + Security Console Upgrade\n\nThis release delivers a complete redesign of the command-line interface, transforming the tool into a modern, security-grade monitoring console.","review":"Proximity Lock System 2.0 以优雅的方式解决了现代工作环境中的安全隐患。该产品利用蓝牙距离感应原理实现自动锁屏,消除了用户因离开座位而忘记手动锁屏的安全风险。作为开源工具,其低成本、高可定制性特别吸引开发者和技术团队。相比传统的手动锁屏或复杂的生物识别方案,该产品提供了简洁高效的替代方案。v2.0 版本的界面重设计和安全控制台升级进一步提升了用户体验和监控能力。目标用户包括注重安全的开发者、远程工作者和企业 IT 部门。产品的主要挑战在于蓝牙连接的稳定性和多设备场景下的兼容性问题。","primaryCategory":"developer-tools","categories":["developer-tools"],"normalizedTopics":["开发者工具","Open Source"]},{"name":"GitHub Repo Visibility Analyzer","tagline":"让开发者发现你的仓库","description":"提升仓库在 GitHub 搜索、Google 和大语言模型中的可见性。这个免费工具会审核仓库配置,提供主题标签建议和其他推荐优化项,帮助开发者更容易地找到项目。","votesCount":136,"commentsCount":11,"createdAt":"2025-11-15T08:01:00Z","website":"https://www.producthunt.com/r/XHF7UV7ZZTTWAF?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/github-repo-visibility-analyzer?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/9ecb8ad3-aaad-4892-98ad-34f1f026d766.png?auto=format","topics":["搜索引擎优化","开发者工具","人工智能"],"firstComment":"看起来非常实用!仓库的可见性是那种容易被忽视的东西,直到意识到没人能找到的工作时才想起来。祝贺上线!","date":"2025-11-15","id":"2025-11-15-6-github-repo-visibility-analyzer","taglineEn":"Make devs notice your repo","descriptionEn":"Improve your repo's visibility in GitHub searches, Google, and LLMs. This free tool audits your repository to give you topic tag suggestions and other recommended action items to help developers find your project more easily.","topicsEn":["SEO","Developer Tools","Artificial Intelligence"],"firstCommentEn":"This looks really useful! Repo visibility is one of those things you don't think about until you realize nobody's finding your work. Congrats on the launch!","review":"GitHub Repo Visibility Analyzer 解决了开源项目普遍面临的发现问题。在开源生态中,代码质量与项目可见性往往不成正比,许多优秀项目因缺乏有效的元数据配置而被埋没。该工具通过审核和优化标签、描述等关键信息,在 GitHub、Google 搜索和 LLM 上下文中增强项目的可被发现性。其核心价值在于降低项目方的优化成本,无需深入了解 SEO 和搜索算法即可提升可见性。免费模式和简洁的用户体验使其容易普及。目标用户包括个人开发者、开源维护者和项目团队。潜在机会在于与 GitHub、搜索引擎和 AI 模型的深度整合,未来可拓展为更全面的开源项目发展指导平台。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","growth-sales"],"normalizedTopics":["搜索引擎优化","开发者工具","AI 与智能体","营销、增长与销售"]},{"name":"Codeflash","tagline":"自动让 Python 代码快速运行 10 倍","description":"Codeflash 优化所有 Python 代码。它使用先进的 AI 和验证机制自动找到任何 Python 代码的最优版本。通过安装 Codeflash GitHub Action 或 VS Code 扩展,确保团队和 agent 编写的所有新 Python 代码始终处于最优状态并运行速度飞快。","votesCount":53,"commentsCount":15,"createdAt":"2025-11-15T08:01:00Z","website":"https://www.producthunt.com/r/4S4PIZIY7VJF55?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/codeflash?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/02512413-e241-4ead-a1a9-cc6653d62fdd.png?auto=format","topics":["开发者工具","人工智能","GitHub"],"firstComment":"👋 大家好,Product Hunt!我是 Saurabh,Codeflash 的创始人兼首席执行官。\n\n经过 2 年多的开发,我们很高兴推出 Codeflash,以解决我们热衷的一个问题——编写运行速度快的代码。\n\n目前,在编写代码时,我们都专注于让代码正确工作,但优化代码很困难且耗时。这往往被忽视,转而用于构建新功能或修复 bug。结果?我们交付的代码存在隐藏的性能问题,导致软件运行速度远低于预期。我发现过很多 10 倍的性能提升空间,每次都在想,\"这怎么会漏掉?\"\n\n但我们都希望软件运行速度快!那么,如何在大规模下让所有代码都运行快呢?\n\n我们用 Codeflash 开创了一种新方式!Codeflash 通过 AI 驱动的优化发现 Python 代码的最快版本,验证正确性,并自动实现性能提升。现在可以快速编写代码,同时让它运行得很快!\n\n可以通过安装 GitHub Action 来使用 Codeflash,它优化拉取请求中的所有新代码。当发现高质量、有用、正确且更快的优化时,它会创建一个建议,包含代码差异供审查。团队永远不会交付慢代码,每次更改都能保持项目速度快。\n\nCodeflash 也可作为 VS Code/Cursor 扩展使用,只需一次点击就能优化项目中的任何代码——直接在 IDE 中!\n\nCodeflash 是一个通用优化器,适用于几乎所有类型的 Python 代码:机器学习(PyTorch 等)、算法、数值代码(NumPy 等)、数据处理(pandas 等)、AI agent 和后端系统(异步代码)。vLLM、Roboflow、Unstructured.io、Langflow、Pydantic 等领先工程团队信任我们,现在总是交付高性能代码。我们已将一些日用户数百万的产品的端到端延迟提升了 35%。\n\n这是我们的首次公开发布,期待听到的想法、反馈,或甚至只是一个\"嗨 👋\"。\n\n如果对 Codeflash 如何帮助团队感兴趣,📆 预约通话或直接发送邮件到 saurabh@codeflash.ai。\n\n让我们共同构建一个软件默认总是快速运行的未来。🚀","date":"2025-11-15","id":"2025-11-15-9-codeflash","taglineEn":"Make your Python code run up to 10x faster automatically","descriptionEn":"Codeflash optimizes all your Python code. It uses advanced AI and verification to automatically find the most optimized version of any Python code. Installing Codeflash as a GitHub Action or VS Code extension ensures that all new Python code your team and your agents write is always optimal and runs fast.","topicsEn":["Developer Tools","Artificial Intelligence","GitHub"],"firstCommentEn":"👋 Hey Product Hunt! I'm Saurabh, Founder and CEO of Codeflash.\n\nWe're excited to launch Codeflash after more than 2 years of work to solve a problem we're passionate about—writing code that runs fast.\n\nRight now, while writing code we all focus on making it work correctly, but optimizing code is hard and time-consuming. It often gets skipped in favor of building new features or fixing bugs. The result? We ship code with hidden performance problems that makes software run far slower than it should. I've found so many 10x speedups where I thought, \"How did this slip by?\"\n\nBut we all want software that runs fast! So how can we make all code run fast at scale?\n\nWe are creating a new way with Codeflash! Codeflash discovers the fastest version of your Python code through AI-powered optimizations, verifies correctness, and automatically delivers performance gains. Now you can write code quickly and have it run fast!\n\nYou can use Codeflash by installing it as a GitHub Action that optimizes all new code in pull requests. When it finds a high-quality optimization that's useful, correct, and faster, it creates a suggestion with the code diff for you to review. Your team never ships slow code, and your project stays fast with every change.\n\nCodeflash is also available as a VS Code/Cursor extension that lets you optimize any code in your project with just one click—right in your IDE!\n\nCodeflash is a general-purpose optimizer that works on almost any type of Python code: Machine Learning (PyTorch, etc.), Algorithms, Numerical code (NumPy, etc.), Data processing (pandas, etc.), AI Agents, and backend systems (async code). We're trusted by leading engineering teams at vLLM (PRs), Roboflow (PRs), Unstructured.io(PRs), Langflow (PRs), Pydantic (PRs), and more who now always ship performant code. We've sped up end-to-end latencies for companies by upto 35%, for products used by millions daily.\n\nThis is our first public launch, and we'd love your thoughts, feedback, or even just a \"hey 👋\".\n\nIf you're curious how Codeflash can help your team, 📆 book a call or email me directly at saurabh@codeflash.ai.\n\nLet's build a future where software always runs fast by default. 🚀","review":"Codeflash 直击现代软件开发的核心痛点。开发者在追求功能迭代速度时,往往忽视代码性能优化,导致低效代码积累,最终产生难以预见的性能瓶颈。该产品巧妙地将 AI 与自动化验证相结合,将代码优化从「可选任务」转变为「自动化流程」,彻底改变了工程团队的工作方式。通过 GitHub Action 和 IDE 扩展的双轨部署,Codeflash 既能在代码审查阶段主动把关,又能在日常开发中快速反馈,大幅降低引入性能问题的风险。其广泛的应用场景覆盖机器学习、数据处理、后端系统等领域,已获得包括 vLLM、Roboflow 等知名开源项目的认可。核心竞争力在于将复杂的优化决策转化为可理解、可验证的代码建议,让性能优化触手可及。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"AirShare","tagline":"AirDrop 风格的本地文件分享及全球传输","description":"一款美观、私密、极速的文件分享应用,支持本地网络和全球点对点传输。采用 QUIC 和 Iroh 技术,无需账户注册,完全离线使用。","votesCount":129,"commentsCount":11,"createdAt":"2025-11-14T08:01:00Z","website":"https://www.producthunt.com/r/6ORPO7GSHGSREJ?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/airshare-instant-local-file-sharing?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/b94970e9-0463-4603-b50e-7816aac5e2d8.png?auto=format","topics":["生产力","开发者工具","科技"],"firstComment":"🚀 重大更新上线!\n\n感谢大家迄今为止的支持——今天,AirShare 迎来了历史最大的升级。\n\n此前,AirShare 仅支持同一本地网络内的设备通信。\n从今天开始,即使不在同一 Wi-Fi 下,也能全球发送消息和文件!🌍\n\n✅ 全球端到端文件传输\n✅ 跨网络工作,不仅限于本地局域网\n✅ 增强的可靠性、加密和交付保障\n✅ 更快的传输速度 + 更清爽的界面\n\n这次更新将 AirShare 向最初的愿景更进了一步:零配置、毫无摩擦的私密分享体验。\n\n非常期待听到各位的反馈和建议,一起打造下一个精彩功能!🙌","date":"2025-11-14","id":"2025-11-14-6-airshare","taglineEn":"AirDrop-style file local sharing and across the globe","descriptionEn":"Beautiful, private, lightning-fast file sharing across local networks and global peers. QUIC + Iroh. No accounts. No cloud.","topicsEn":["Productivity","Developer Tools","Tech"],"firstCommentEn":"🚀 Major update is live!\n\nThanks everyone for the support so far — today, AirShare gets its biggest upgrade yet.\nUntil now, AirShare has worked only when devices were on the same local network.\nFrom today, users can send messages and files globally — even when you're not on the same Wi-Fi! 🌍\n\n✅ Global end-to-end file transfers\n✅ Works across networks, not just local LAN\n✅ Improved reliability, encryption & delivery\n✅ Faster transfers + cleaner UI\n\nThis update brings AirShare much closer to the original vision: effortless, private sharing with zero setup.\n\nSuper excited to hear your feedback and ideas on what to build next! 🙌","review":"AirShare 解决了跨设备文件分享的核心痛点。传统的文件传输方案要么依赖云端(涉及隐私和延迟问题),要么受限于本地网络。AirShare 通过 QUIC 和 Iroh 等现代网络协议,实现了无账户、零配置、全端到端加密的全球文件传输,完全打破了地域限制。最新版本突破性地支持跨网络传输,极大扩展了使用场景。产品核心优势在于隐私优先的设计理念和简洁易用的界面。目标用户涵盖重视隐私的专业人士、开发者及普通消费者。潜在挑战在于如何在全球网络中保证传输稳定性和速度,以及与 Apple AirDrop 等已有方案的差异化竞争。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","social-community"],"normalizedTopics":["生产力与办公","开发者工具","社交、社区与内容","Tech"]},{"name":"PaywallPro","tagline":"应用付费墙设计的 Pinterest","description":"被 2,000+ 应用信任,PaywallPro 将 46,000+ iOS 付费墙转化为可执行的洞察。追踪定价、设计变化、收入趋势和竞争对手策略——助力应用实现更智慧的增长和更优质的商业化。","votesCount":45,"commentsCount":13,"createdAt":"2025-11-14T08:01:00Z","website":"https://www.producthunt.com/r/LZWMG3I3VZTUYS?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/paywallpro?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/a6ec983a-be94-4a3c-8b0d-4ac0aa7b1779.jpeg?auto=format","topics":["增长黑客","SaaS","开发者工具"],"firstComment":"🚀 大家好,我是 Jason,PaywallPro 的独立创造者和产品经理。\n\n在过去 8 年构建国际订阅应用的过程中,一个问题一直困扰我:\n👉 没有结构化、透明的方式来学习顶级应用如何设计和迭代付费墙。\n\n我合作过的每个产品团队都提出过同样的问题:\n- 成功的应用如何定价订阅?\n- 高转化的付费墙流程是什么样的?\n- 应该对这个付费墙版本进行 A/B 测试吗?\n\n所以我构建了 PaywallPro——订阅应用的终极付费墙情报平台。\n\n我们已经收集了 2,000+ 顶级 iOS 应用的真实付费墙截图、登录流程和版本数据,让能清晰了解最优秀的应用如何优化收入。\n\n拥有 46,000+ 付费墙截图和版本历史,可以:\n✅ 基准测试设计和定价策略\n✅ 分析登录→付费墙流程\n✅ 追踪竞争对手如何随时间迭代\n✅ 发现跨类别和地区的趋势\n\n🧭 路线图中的下一步\n我们才刚刚起步——以下是即将推出的功能 👇\n- 🧮 免费的 AI 驱动工具,如定价计算器、文案生成器和付费墙分析工具,帮助创始人更快地测试想法。\n- 📊 个性化付费墙报告——上传付费墙,获得即时反馈,并与同类别的顶级应用进行基准测试。\n- 🧠 收入预测和优化引擎——模拟\"假设\"场景(例如月度价格从 $9.99 降至 $7.99 会怎样?),使用汇总的行业数据。\n- 🎨 付费墙设计构建器——提供高效能布局的视觉模板和 Figma 组件。\n- 📈 公开基准测试仪表板——每月更新顶级设计、定价方案和跨类别的转化趋势。\n\n我们的目标是将 PaywallPro 从静态数据库转变为动态情报平台,帮助每个应用团队设计、测试和优化商业化——无需猜测。\n如果正在构建移动订阅业务,希望 PaywallPro 能为提供我一直希望拥有的清晰度。\n→ 有任何问题或反馈?在下方留言——我整天都会在这里回复!🙌","date":"2025-11-14","id":"2025-11-14-8-paywallpro","taglineEn":"Pinterest for App Paywall Designs","descriptionEn":"Trusted by 2,000+ apps, PaywallPro turns 46,000+ iOS paywalls into actionable insights. Track pricing, design shifts, revenue trends, and competitor strategies — everything you need to grow smarter and monetize better.","topicsEn":["Growth Hacking","SaaS","Developer Tools"],"firstCommentEn":"🚀 Hey PH friends, I'm Jason – indie builder & PM behind PaywallPro.\n\nOver the past 8 years building international subscription apps, one thing constantly frustrated me:\n👉 There was no structured, transparent way to learn how top apps design and iterate their paywalls.\n\nEvery product team I worked with asked the same questions:\n- How are successful apps pricing their subscriptions?\n- What does a high-converting paywall flow look like?\n- Should we A/B test this paywall version or not?\n\nSo I built PaywallPro – the ultimate paywall intelligence platform for subscription apps.\n\nWe've already collected real paywall screenshots, onboarding flows, and version data from 2,000+ top iOS apps, giving you a clear window into how the best apps are optimizing revenue.\n\nWith 46,000+ paywall screenshots and version histories, you can:\n✅ Benchmark design and pricing strategies\n✅ Analyze onboarding → paywall flows\n✅ Track how your competitors iterate over time\n✅ Discover trends across categories and countries\n\n🧭 What's Next on Our Roadmap\nWe're just getting started — here's what's coming soon 👇\n- 🧮 Free AI-powered tools like pricing calculators, copy generators, and paywall analyzers to help founders test ideas faster.\n- 📊 Personalized Paywall Reports — upload your own paywall, get instant feedback, and benchmark against top apps in your category.\n- 🧠 Revenue Forecast & Optimization Engine — simulate \"what-if\" scenarios (e.g., what happens if I drop my monthly price from $9.99 → $7.99?) using aggregated industry data.\n- 🎨 Paywall Design Builder — visual templates and Figma components for building high-performing layouts.\n- 📈 Public Benchmarks Dashboard — monthly updates on top-performing designs, pricing tiers, and conversion trends across categories.\n\nOur goal is to turn PaywallPro from a static database into a living intelligence platform that helps every app team design, test, and optimize monetization — without guesswork.\nIf you're building a mobile subscription business, I hope PaywallPro gives you the clarity I always wished I had.\n→ Got questions or feedback? Drop them below — I'll be here all day replying! 🙌","review":"PaywallPro 解决了移动应用开发者面临的核心痛点——缺乏付费墙最佳实践的透明参考。通过汇聚 46,000+ 真实付费墙数据,该产品为 2,000+ 应用提供了竞争对手分析和定价优化的实战情报。产品的核心创新在于将付费墙设计从经验驱动转变为数据驱动,帮助产品经理和增长团队快速做出定价和设计决策,而无需盲目尝试。目标用户覆盖移动订阅应用的 PM、增长负责人和创始人。在竞争激烈的订阅经济中,该平台通过降低决策成本和缩短优化周期,具有明显的商业价值。未来的 AI 工具和优化引擎将进一步强化其作为一站式付费墙情报中心的定位,有望成为订阅应用开发者的必备工具。","primaryCategory":"developer-tools","categories":["developer-tools","hardware-platforms"],"normalizedTopics":["增长黑客","SaaS","开发者工具","Growth Hacking"]},{"name":"AirShare","tagline":"AirDrop 风格的文件本地共享和全球传输","description":"美观、私密、闪电般快速的文件共享解决方案,支持本地网络和全球对等传输。采用 QUIC + Iroh 技术。无需账户,无需云端。","votesCount":130,"commentsCount":11,"createdAt":"2025-11-14T08:01:00Z","website":"https://www.producthunt.com/r/6ORPO7GSHGSREJ?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/airshare-instant-local-file-sharing?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/b94970e9-0463-4603-b50e-7816aac5e2d8.png?auto=format","topics":["生产力","开发者工具","科技"],"firstComment":"🚀 重大更新已上线!\n\n感谢大家的支持——今天 AirShare 迎来了最大规模的升级。\n到目前为止,AirShare 只能在设备连接同一本地网络时工作。\n从今天起,用户可以全球范围内发送消息和文件——即使不在同一 Wi-Fi 网络上!🌍\n\n✅ 全球端到端文件传输\n✅ 跨网络工作,不仅限本地局域网\n✅ 提升了可靠性、加密与传输保障\n✅ 更快的传输速度 + 更清爽的界面\n\n此次更新让 AirShare 更加贴近初心:零配置、毫不费力的私密共享。\n\n非常期待听到大家的反馈和建议!🙌","date":"2025-11-14","id":"2025-11-14-6-airshare","taglineEn":"AirDrop-style file local sharing and across the globe","descriptionEn":"Beautiful, private, lightning-fast file sharing across local networks and global peers. QUIC + Iroh. No accounts. No cloud.","topicsEn":["Productivity","Developer Tools","Tech"],"firstCommentEn":"🚀 Major update is live!\n\nThanks everyone for the support so far — today, AirShare gets its biggest upgrade yet.\nUntil now, AirShare has worked only when devices were on the same local network.\nFrom today, users can send messages and files globally — even when you're not on the same Wi-Fi! 🌍\n\n✅ Global end-to-end file transfers\n✅ Works across networks, not just local LAN\n✅ Improved reliability, encryption & delivery\n✅ Faster transfers + cleaner UI\n\nThis update brings AirShare much closer to the original vision: effortless, private sharing with zero setup.\n\nSuper excited to hear your feedback and ideas on what to build next! 🙌","review":"AirShare 通过对等网络技术重新定义了文件共享体验。产品解决的核心痛点是现有文件传输方案中存在的隐私风险和使用复杂性——无论是依赖云端服务还是需要繁琐配置。通过采用 QUIC 和 Iroh 等先进协议,AirShare 实现了本地和跨域的端到端加密传输,确保数据隐私同时保证传输速度。从本地网络扩展到全球对等传输,产品的功能边界得到大幅拓展。目标用户涵盖注重隐私的个人用户和专业团队。相比传统云存储方案,AirShare 的优势在于去中心化架构和零配置体验。未来需要关注用户发现机制和跨平台兼容性的完善。","primaryCategory":"developer-tools","categories":["developer-tools","productivity","social-community"],"normalizedTopics":["生产力与办公","开发者工具","社交、社区与内容","Tech"]},{"name":"PaywallPro","tagline":"应用付费墙设计的 Pinterest","description":"PaywallPro 已获得 2000 多款应用的信任,将超过 46000 个 iOS 付费墙转化为可操作的洞察。追踪定价策略、设计变更、收入趋势和竞争对手策略——为更明智的增长和更好的变现提供所需的一切。","votesCount":45,"commentsCount":13,"createdAt":"2025-11-14T08:01:00Z","website":"https://www.producthunt.com/r/LZWMG3I3VZTUYS?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/paywallpro?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/a6ec983a-be94-4a3c-8b0d-4ac0aa7b1779.jpeg?auto=format","topics":["增长黑客","SaaS","开发者工具"],"firstComment":"🚀 大家好,我是 Jason,PaywallPro 的独立开发者和产品经理。\n\n过去 8 年构建国际订阅应用的过程中,有一个问题一直困扰着我:\n👉 没有一个结构化、透明的方式来学习顶级应用如何设计和迭代他们的付费墙。\n\n我合作过的每个产品团队都问过同样的问题:\n- 成功的应用是如何为其订阅定价的?\n- 高转化率的付费墙流程是什么样的?\n- 我们应该对这个付费墙版本进行 A/B 测试吗?\n\n因此我构建了 PaywallPro——面向订阅应用的终极付费墙智能平台。\n\n我们已经从 2000 多款顶级 iOS 应用中收集了真实的付费墙截图、用户引导流程和版本数据,为您提供了一个清晰的窗口,了解最佳应用如何优化收入。\n\n凭借超过 46000 张付费墙截图和版本历史记录,您可以:\n✅ 对标设计和定价策略\n✅ 分析用户引导 → 付费墙流程\n✅ 追踪竞争对手如何随时间迭代\n✅ 发现跨类别和国家的趋势\n\n🧭 我们的路线图规划\n我们才刚刚开始——以下是即将推出的功能 👇\n- 🧮 免费的 AI 驱动工具,如定价计算器、文案生成器和付费墙分析器,帮助创始人更快地测试想法。\n- 📊 个性化付费墙报告——上传自己的付费墙,获得即时反馈,并与所在类别的顶级应用进行对标。\n- 🧠 收入预测与优化引擎——利用聚合的行业数据模拟\"假设\"场景(例如,如果我将月费从 9.99 美元降至 7.99 美元会发生什么?)。\n- 🎨 付费墙设计构建器——用于构建高性能布局的可视化模板和 Figma 组件。\n- 📈 公共基准仪表板——每月更新跨类别表现最佳的设计、定价层级和转化趋势。\n\n我们的目标是将 PaywallPro 从一个静态数据库转变为一个活的智能平台,帮助每个应用团队无需猜测即可设计、测试和优化变现策略。\n如果您正在构建移动订阅业务,我希望 PaywallPro 能为您提供我一直渴望的那种清晰度。\n→ 有问题或反馈吗?请在下方留言——我会全天在此回复!🙌","date":"2025-11-14","id":"2025-11-14-8-paywallpro","taglineEn":"Pinterest for App Paywall Designs","descriptionEn":"Trusted by 2,000+ apps, PaywallPro turns 46,000+ iOS paywalls into actionable insights. Track pricing, design shifts, revenue trends, and competitor strategies — everything you need to grow smarter and monetize better.","topicsEn":["Growth Hacking","SaaS","Developer Tools"],"firstCommentEn":"🚀 Hey PH friends, I'm Jason – indie builder & PM behind PaywallPro.\n\nOver the past 8 years building international subscription apps, one thing constantly frustrated me:\n👉 There was no structured, transparent way to learn how top apps design and iterate their paywalls.\n\nEvery product team I worked with asked the same questions:\n- How are successful apps pricing their subscriptions?\n- What does a high-converting paywall flow look like?\n- Should we A/B test this paywall version or not?\n\nSo I built PaywallPro – the ultimate paywall intelligence platform for subscription apps.\n\nWe've already collected real paywall screenshots, onboarding flows, and version data from 2,000+ top iOS apps, giving you a clear window into how the best apps are optimizing revenue.\n\nWith 46,000+ paywall screenshots and version histories, you can:\n✅ Benchmark design and pricing strategies\n✅ Analyze onboarding → paywall flows\n✅ Track how your competitors iterate over time\n✅ Discover trends across categories and countries\n\n🧭 What's Next on Our Roadmap\nWe're just getting started — here's what's coming soon 👇\n- 🧮 Free AI-powered tools like pricing calculators, copy generators, and paywall analyzers to help founders test ideas faster.\n- 📊 Personalized Paywall Reports — upload your own paywall, get instant feedback, and benchmark against top apps in your category.\n- 🧠 Revenue Forecast & Optimization Engine — simulate \"what-if\" scenarios (e.g., what happens if I drop my monthly price from $9.99 → $7.99?) using aggregated industry data.\n- 🎨 Paywall Design Builder — visual templates and Figma components for building high-performing layouts.\n- 📈 Public Benchmarks Dashboard — monthly updates on top-performing designs, pricing tiers, and conversion trends across categories.\n\nOur goal is to turn PaywallPro from a static database into a living intelligence platform that helps every app team design, test, and optimize monetization — without guesswork.\nIf you're building a mobile subscription business, I hope PaywallPro gives you the clarity I always wished I had.\n→ Got questions or feedback? Drop them below — I'll be here all day replying! 🙌","review":"PaywallPro 精准切入了一个被忽视但至关重要的细分市场:应用付费墙设计与变现优化。在订阅经济时代,付费墙是用户转化和收入增长的关键节点,但其设计、定价和迭代策略往往依赖直觉或零散信息。该产品通过构建一个庞大的、结构化的付费墙数据库,将行业\"黑箱\"透明化,为产品团队提供了宝贵的竞争情报和基准数据。其核心价值在于将海量设计案例转化为可量化的洞察,帮助团队做出数据驱动的决策,而非盲目跟风。目标用户明确为移动订阅应用的产品经理、增长黑客和开发者。其未来路线图显示出从\"情报库\"向\"智能优化平台\"演进的野心,通过引入AI工具和预测引擎,有望将事后分析升级为事前指导。潜在挑战在于数据的持续更新与准确性维护,以及如何平衡信息的深度与易用性,避免用户陷入\"分析瘫痪\"。","primaryCategory":"developer-tools","categories":["developer-tools","hardware-platforms"],"normalizedTopics":["增长黑客","SaaS","开发者工具","Growth Hacking"]},{"name":"Documenso 2.0.0","tagline":"面向所有人的企业级签名基础设施","description":"Documenso 2.0 正式发布!此版本提供企业级电子签名所需的一切:完整合规性、增强安全性和强大的新编辑器以实现精确的字段放置。Documenso 2.0 引入多文档信封功能,并标志着 API v2 的最终版本发布,包含改进的上传流程、模板热切换、文件夹 API 等功能。加入我们庆祝最佳的 Documenso,以及现在开启的功能新浪潮!","votesCount":343,"commentsCount":52,"createdAt":"2025-11-13T08:01:00Z","website":"https://www.producthunt.com/r/PAZ5CRCUCFJCQA?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/documenso?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/a05a1046-e311-4c1d-8449-51fadda4d0c0.png?auto=format","topics":["生产力","平台工具","开发者工具","GitHub"],"firstComment":"\"Documenso 社区太棒了。\" – Timur,Documenso 联合创始人\n\n大家好!\n\n我们很高兴推出 Documenso 2.0,现在完全达到企业级标准 🎉\n\n这意味着我们新增了组织级支持、发布了改进的 V2 API,并完全刷新了编辑器和设置页面以保持整洁有序。此外,现在已通过 SOC 2 合规认证 🧐\n\n当然,虽然达到企业级标准,但仍然向所有人开放,提供社区版和免费计划。今年我们发布了很多功能,非常希望能有更多人注册体验。如果有企业级需求,欢迎随时联系。\n\n期待听到反馈!\n\n免费试用 2.0:documen.so/signup\n体验签署流程:documen.so/pledge(签署后分享签名卡片能获得最大的关注 🐝)\n加入讨论:documen.so/discord\n\nAPI 文档:documen.so/api\n寻求更大规模的方案?联系我们:documen.so/enterprise\n\n现在 2.0 已经发布,我们可以加快节奏,期待在今年剩余时间内推进更多计划。\n\n– Documenso 团队","date":"2025-11-13","id":"2025-11-13-0-documenso-2.0.0","taglineEn":"Enterprise-Grade Signature Infrastructure for Everyone","descriptionEn":"We're excited to launch Documenso 2.0! This release brings everything you need for enterprise-grade e-signatures: full compliance, improved security, and a powerful new editor for precise field placement. Documenso 2.0 introduces multi-document envelopes and marks the final release of our API v2, with an improved upload flow, template hot-switching, folders API, and more. Join us in celebrating the best Documenso yet and the feature frenzy we're kicking off now!","topicsEn":["Productivity","Platformers","Developer Tools","GitHub"],"firstCommentEn":"\"The Documenso community rocks.\" – Timur, Co-Founder Documenso\n\nHey everyone!\n\nWe're excited to introduce Documenso 2.0, and we now consider it fully enterprise-ready 🎉\n\nThat means we've added organizational support, released our improved V2 API, and completely refreshed the editor and settings pages to keep everything nice and tidy. Also, we are now fully SOC 2 compliant 🧐\n\nAnd of course, while it's enterprise-ready, it's still here for everyone with our community version and free plan. We've shipped a lot this year, and we'd love for you to sign up and give it a try. If you want to chat about enterprise options, just let us know.\n\nWe can't wait to hear your feedback!\n\nTry 2.0 for Free: documen.so/signup\nTry the Signing Experience: documen.so/pledge (Be sure to share the signature card after signing for maximum buzz 🐝)\nJoin the Conversation: documen.so/discord\n\nAPI Docs: documen.so/api\nLooking for an bigger setup? Let's Chat: documen.so/enterprise\n\nNow that 2.0 is out we can move a lot faster and we can't wait to hit the gas as we still have a lot planned for the rest of the year.\n\n– Team Documenso","review":"Documenso 2.0 代表了电子签名市场的一次重要进步。通过达到 SOC 2 合规标准,该产品有效解决了企业用户对安全性和合规性的核心诉求,使中小型企业也能获得与大型企业同等级别的签名基础设施。多文档信封、增强的编辑器和优化的 API 让工作流程更高效,降低了集成难度。相比传统签名服务商的高昂成本,Documenso 通过开源社区版本提供民主化方案,扩大了市场覆盖面。产品的主要优势在于兼顾合规性与易用性,且持续快速迭代。挑战方面,需在激烈竞争中保持创新步伐,同时确保数据安全与隐私保护的行业领先地位。","primaryCategory":"developer-tools","categories":["developer-tools","productivity"],"normalizedTopics":["生产力与办公","开发者工具","Platformers"]},{"name":"Bunny Shield","tagline":"强大的CDN安全防护,不设限制门槛","description":"使用高级 WAF、DDoS 防护、速率限制、机器人检测和上传扫描来保护网站和 API。在直观的仪表板中配置防护措施,通过详细的事件日志获得实时可见性。严肃的安全防护不应该是奢侈品。免费开始,透明的定价满足各种规模的需求。","votesCount":132,"commentsCount":13,"createdAt":"2025-11-13T08:01:00Z","website":"https://www.producthunt.com/r/ZZA2GIR7WDWIE2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/bunny-net?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/cb2afcfe-57f1-4dce-bce1-a17cc1723c8d.png?auto=format","topics":["开发者工具","安全"],"firstComment":"大家好 👋\n\n在 CDN 安全防护领域,往往要么防护不足,要么成本高昂且难以预测。\n\n在 bunny.net,我们相信严肃的安全防护不应该是奢侈品。因此我们构建了 Bunny Shield:\n- 使用高级 WAF 阻止零日漏洞、OWASP Top 10 威胁和新兴风险。\n- 通过 200+ Tbps 全球网络缓解最大规模和最复杂的 DDoS 攻击。\n- 检测并阻止不需要的自动化流量,防止凭证填充、爬虫和滥用。\n- 实时扫描文件上传,阻止恶意软件、勒索软件和不当内容。\n- 通过全球速率限制和自定义访问规则在边缘阻止滥用。\n\n最好的部分是什么?使用 Bunny CDN 可以免费享受大部分功能。当需要更多时,付费 Shield 套餐提供经济实惠的月度计划,配合慷慨的请求限额和合理的超额费用。\n\n免费试用 Bunny Shield 14 天,期待听到反馈!\n\n— Marek @ bunny.net","date":"2025-11-13","id":"2025-11-13-8-bunny-shield","taglineEn":"Strong CDN security without gatekeeping","descriptionEn":"Protect your sites and APIs with advanced WAF, DDoS mitigation, rate limiting, bot detection, and upload scanning. Configure protection in an intuitive dashboard and get real-time visibility through detailed event logs. Serious security shouldn't be a luxury. Start free. Scale with fair, transparent pricing.","topicsEn":["Developer Tools","Security"],"firstCommentEn":"Hey PH 👋\n\nWhen it comes to CDN security, you either get too little or pay too much, dealing with unpredictable costs.\n\nAt bunny.net, we believe serious security shouldn't be a luxury. That's why we built Bunny Shield:\n- Block zero-day exploits, OWASP Top 10 threats, and emerging risks with an advanced WAF.\n- Mitigate the largest and most sophisticated DDoS attacks with our 200 Tbps+ global network.\n- Detect and block unwanted automated traffic to prevent credential stuffing, scraping, and abuse.\n- Scan file uploads in real time to block malware, ransomware, and CSAM.\n- Stop abuse at the edge with global rate limiting and custom access rules.\n\nThe best part? You get a lot of this free with Bunny CDN. When you need more, the paid Shield tiers offer affordable monthly plans with generous request limits and fair overage fees.\n\nTry Bunny Shield with a free 14-day trial and let us know what you think!\n\n— Marek @ bunny.net","review":"Bunny Shield 直击 CDN 安全市场的痛点——传统安全方案往往成本高昂且不透明。该产品通过一体化防护(WAF、DDoS 防护、机器人检测、恶意软件扫描)解决企业多层次的安全需求。核心竞争力在于透明的定价模式和免费套餐的慷慨配置,使中小型开发者和初创企业能够享受企业级安全防护。产品面向开发者友好的仪表板和实时日志分析提高了易用性。主要挑战在于如何在功能完整性和性能之间取得平衡,以及在竞争激烈的 CDN 安全市场中差异化定位。若能持续优化检测精度和降低误报率,有望成为中小企业的首选安全方案。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","安全","Security"]},{"name":"Superapp","tagline":"用 AI 和 Swift 构建原生 iOS 应用","description":"首个针对 iOS 的 AI 全栈工程师。使用 Swift 编码,遵循 Apple 设计标准,并自动连接 Supabase。同时支持 Swift 和 React Native Expo。","votesCount":359,"commentsCount":99,"createdAt":"2025-11-12T08:01:00Z","website":"https://www.producthunt.com/r/IGB7CX2W4JSNHZ?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/superapp?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/d0b36624-a7d2-4544-8451-007b01c18301.png?auto=format","topics":["开发者工具","人工智能","无代码"],"firstComment":"👋 大家好!我是 Superapp 联合创始人 Vitalik。\n\n我曾是一位非技术出身的产品设计师,vibecoding 改变了我的人生。\n我成为产品开发者,但却找不到适合 iOS 的工具。\n\n如果尝试过构建原生 iOS 应用,就知道那种痛苦——\n打开 Xcode,突然间就没有了创作的快乐。💀\nXcode 功能强大,但也很笨重,受限很多,扼杀创意。\n到了 2025 年,我们竟然还没有真正的原生 vibecoding 工具来开发 iOS——\n那些能让构建原生应用体验如同设计应用一样愉快的工具。\n同时,没有什么能比得上 Apple 的设计——精致、一致、美观至极。我们想保持这种品质,同时让开发体验真正有趣。\n于是我们构建了 Superapp——第一个真正的原生 iOS AI 工程师。\n所以非技术人员可以在没有开发者或设计师帮助的情况下构建真正的原生应用。\n🔥 Superapp 具有什么功能\nSwift + Expo 统一 → 选择堆栈,我们在幕后处理原生设置。对于 Swift,背景需要 Xcode 来运行模拟器。Expo 不需要此设置。\n\n不再有 Xcode 混乱 → 无需配置文件或手动配置;只需构建和运行。\n\nApple 级别的精致,立竿见影 → Superapp 应用开箱即遵循 Apple 设计标准。\n\nSupabase -> AI 将创建数据库并连接到 SwiftUI\n\n💡 适用于谁\n想快速发布 iOS 应用的创始人和独立开发者\n\n厌倦 Xcode 设置、希望快速原型的开发者\n\n想将想法变现的设计师、产品经理和营销人员\n\n想为客户更快开发应用的机构\n\n我们相信 iOS 开发工具的感觉应该和它们创作出的产品一样优雅。\nSuperapp 将 Apple 早期的哲学带回应用构建。让我们让 Steve 感到骄傲。⚡","date":"2025-11-12","id":"2025-11-12-1-superapp","taglineEn":"Build native iOS apps with AI & Swift","descriptionEn":"The first AI full-stack engineer for iOS. Codes in Swift, designs with Apple standards, and connects your Supabase automatically. Works with both Swift and React Native Expo.","topicsEn":["Developer Tools","Artificial Intelligence","No-Code"],"firstCommentEn":"👋 Hey PH fam! Vitalik here, co-founder of Superapp \n\nI used to be non-technical product designer and vibecoding changed my life.\nI became obsessed with building but lacked the right tool for iOS.\n\nIf you've ever tried to build a native iOS app, you know the pain —\nyou open Xcode, and suddenly it's just not fun anymore. 💀\nXcode is powerful, but it's heavy, rigid, and slows down creativity.\nIt's wild that in 2025, we still don't have truly native vibecoding tools for iOS — tools that let you build native apps with the same joy as designing them.\nAt the same time, nothing beats Apple's design — it's polished, consistent, and simply beautiful. We wanted to keep that energy while making the build experience actually fun.\nThat's why we built Superapp — the first truly native iOS AI Engineer. \nSo any non-technical person can build a real native app without developer or designer.\n🔥 What's in Superapp\nSwift + Expo unified → Choose your stack, and we handle native setup behind the scenes. For Swift, it will need Xcode in background for Simulator. Expo doesn't require this setup.\n\nNo more Xcode chaos → No provisioning profiles or manual configs; just build and run.\n\nApple-level polish, instantly → Superapp apps follow Apple's design standards right out of the box.\n\nSupabase -> AI will create database and connect to your SwiftUI\n\n💡 Who it's for\nFounders and indie makers who want to ship iOS apps fast\n\nDevelopers tired of Xcode setup who want to prototype quickly\n\nDesigners, PMs and Marketers who want to bring to their ideas to life\n\nAgencies who want to develop apps their clients faster\n\nWe believe the tools for iOS development should feel as elegant as the products they create. \nSuperapp brings the early Apple philosophy back to app building. Let's make Steve proud.⚡","review":"Superapp 直指 iOS 开发的核心痛点——开发环境复杂、上手难度高。传统 Xcode 虽然功能完整,但对非专业开发者构成了巨大的学习曲线。该产品通过 AI 驱动的代码生成能力,使非技术背景的创始人、设计师和产品经理都能快速将想法转化为原生 iOS 应用。其核心价值在于降低进入门槛,保留 Apple 设计标准的同时简化开发流程。支持 Swift 和 Expo 双栈选项,自动化数据库连接等关键配置,体现了对用户痛点的深刻理解。与低代码平台不同的是,Superapp 强调原生应用质量,避免混合方案的性能妥协。在当前 AI 辅助开发工具激增的时代,其对垂直领域(iOS)的专注和对 Apple 生态的深度适配,为移动应用开发提供了一条新的可行路径。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","hardware-platforms"],"normalizedTopics":["开发者工具","AI 与智能体","无代码","No-Code"]},{"name":"Logo.dev","tagline":"任何产品的可靠标志,瞬间生成。","description":"Logo.dev 为任何公司、股票代码或加密货币符号提供可靠的品牌标志。可用于仪表板、SaaS 产品、金融科技应用和内部工具。全球 CDN 快速交付、简洁的 API 调用,以及智能备用标志确保界面始终呈现最佳效果。","votesCount":347,"commentsCount":53,"createdAt":"2025-11-12T08:01:00Z","website":"https://www.producthunt.com/r/ZM6QKWZCXLCUN2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/logo-dev?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/852d44c5-badf-4e29-821e-804b30f30efe.png?auto=format","topics":["API","开发者工具","Logo 设计"],"firstComment":"大家好,我是 Alex,这里的设计师。\n\n当 Clearbit 被收购时,Logo API 被列入关闭时间表。今天 HubSpot 进行了 24 小时的停机,让团队意识到这正在发生。许多产品仍然依赖它,所以对很多人来说,这是他们第一次注意到有什么在改变。\n\n我们不希望互联网的核心基础设施就这样消失,所以我们构建了 Logo.dev,作为 Logo 基础设施的长期、稳定的家园。目标很简单。如果产品需要显示标志,应该很容易,而且应该始终有效。\n\n以下是我们的改进:\n简单的基于 URL 的标志获取,适用于任何技术栈\n\n快速的全球 CDN 交付,使标志在真实 UI 流中瞬间加载\n\n自动备用标志,永远不会出现破损图像\n\n可通过域名、品牌名称、股票代码或加密货币符号查询\n\n标志每日更新,当有变化时可以请求更新\n\n是的,对大多数人来说,这是一个免费产品。我们希望这对尽可能多的开发者和团队都是易于使用和值得信赖的。\n\n目前我们每月处理超过 10 亿个标志请求,约 25,000 名开发者正在生产环境中使用该 API。\n\n我们知道当产品依赖的某样东西突然消失时是什么感受。我们的目标是提供一个稳定的替代方案,能够长期获得支持。\n\n我们今天全天在线。如果遇到破损标志问题或需要帮助设置,随时提问。\n\n感谢支持,\n❤️ Alex 和 Logo.dev 团队","date":"2025-11-12","id":"2025-11-12-2-logo.dev","taglineEn":"Reliable logos for any product, instantly.","descriptionEn":"Logo.dev provides reliable brand logos for any company, stock ticker, or crypto symbol. Use it in dashboards, SaaS products, fintech apps, and internal tools. Fast global CDN performance, simple API calls, and smart fallback logos so your UI always looks at it's best.","topicsEn":["API","Developer Tools","Logo Design"],"firstCommentEn":"Hey everyone, I'm Alex, the designer here.\n\nWhen Clearbit was acquired, the logo API was put on a shutdown timeline. Today HubSpot is running a 24 hour blackout so teams realize this is happening. A lot of products still rely on it, so for many people this is the first time they're noticing something is changing.\n\nWe didn't want a core piece of the web to just disappear, so we built Logo.dev as a long term, stable home for logo infrastructure. The goal is simple. If your product needs to display logos, it should be easy and it should always work.\n\nHere's what we've improved on:\nSimple, URL based logo fetching that works in any stack\n\nFast global CDN delivery so logos load instantly in real UI flows\n\nAutomatic fallback logos so you never end up with broken images\n\nLookups by domain, brand name, stock ticker, or crypto symbol\n\nLogos are updated daily, and you can request updates when something changes\n\nAnd yes, for most people, this is a free product. We want this to be accessible and dependable for as many developers and teams as possible.\n\nRight now we serve over a billion logo requests per month, and around 25,000 developers are using the API in production.\n\nWe know what it feels like when something your product depends on just goes away. Our goal is to provide a stable replacement that stays supported for a long time to come.\n\nWe're here all day. If you're dealing with broken logos or want help getting set up, just ask.\n\nThanks for your support,\n❤️ Alex and the Logo.dev team","review":"Logo.dev 抓住了一个真实的市场痛点。随着 Clearbit Logo API 的关闭,大量应用面临标志加载问题,Logo.dev 恰当地填补了这一空白。产品设计简洁实用,URL 直接调用的方式降低了集成成本,开发者无需复杂的身份验证流程。全球 CDN 加速和智能备用机制确保了高可用性和良好的用户体验。目标用户涵盖 SaaS、金融科技、仪表板等多个领域,市场需求明确。免费模式显示了团队对用户体验的真诚,有助于快速获得用户基数。核心挑战在于标志数据库的实时性维护和增长,同时需要平衡免费用户和商业化模式的关系。作为基础设施级服务,稳定性和可靠性是长期竞争力的关键。","primaryCategory":"developer-tools","categories":["developer-tools","design-creative","finance-business"],"normalizedTopics":["开发者工具","Logo 设计","设计、图片与视频"]},{"name":"TRAE SOLO","tagline":"响应式编码 agent","description":"在此次更新中,TRAE SOLO 迎来了最重大的升级——引入全新的 SOLO Coder,专为处理复杂且具有挑战性的开发任务而构建。由 SWE-Bench 排名第一的代码 agent 技术驱动,SOLO 采用视觉化、规划优先的多 agent 工作流,提供全新的开发体验和效率提升——响应迅速、流程透明、真正并行执行。","votesCount":252,"commentsCount":28,"createdAt":"2025-11-12T08:01:00Z","website":"https://www.producthunt.com/r/LV226TUD54KFIB?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/trae?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/4bfaa2dd-ecce-4375-bacd-fd5f39fd6e32.png?auto=format","topics":["开发者工具","人工智能","编码氛围"],"firstComment":"大家好 👋 我是来自字节跳动 Trae 团队的 Gary。\n\n我们正在推出 TRAE 3.0,其中最先进的编码 agent SOLO 迎来了最重大的更新。\n\nSOLO 引入了一个视觉化、规划优先的多 agent 工作流,基于 SWE-Bench 排名第一的代码 agent 构建——通过实时感知、透明的进度跟踪和并行任务处理,重新定义了开发者与 AI 的协作方式。\n\nSOLO Coder – 为复杂的专业级开发构建\n规划模式 – 执行前审查和优化规划\n子 agent – 针对特定子任务的专门 agent\nDiffView – 追踪和审查每一项代码变更\n深度集成 – 支持 Figma、Supabase、Stripe、Vercel\n\n同时,SOLO 将向所有人开放。从 11 月 12 日起,所有人都可以使用,前 3 天免费。\n\n与此同时,我们已达到 100 万月活用户,成为全球排名前二的 AI IDE。\n\n我们为能够与社区共同成长感到无比自豪——为世界各地的开发者带来更多效率和创意。\n\n如果相信 AI 编码的未来,非常期待得到支持 ❤️\n\n谢谢!","date":"2025-11-12","id":"2025-11-12-4-trae-solo","taglineEn":"The Responsive Coding Agent","descriptionEn":"In this update, TRAE SOLO receives its most significant upgrade yet — introducing the all-new SOLO Coder, built to handle complex, challenging development tasks. Powered by the #1 SWE-Bench code agent, SOLO delivers a visual, plan-first, multi-agent workflow that brings a brand-new level of development experience and efficiency — responsive, transparent, and truly parallel.","topicsEn":["Developer Tools","Artificial Intelligence","Vibe coding"],"firstCommentEn":"Hey everyone 👋 I'm Gary from Trae, ByteDance.\n\nWe're launching TRAE 3.0, where our state-of-the-art coding agent, SOLO, receives its most significant update yet.\n\nSOLO introduces a visual, plan-first, multi-agent workflow built on the #1 SWE-Bench code agent — redefining how developers collaborate with AI through real-time awareness, transparent progress, and parallel tasks.\n\nSOLO Coder – built for complex, professional-grade development\nPlan Mode – review and refine plans before execution\nSub Agents – specialized agents for focused subtasks\nDiffView – track and review every code change\nDeep integrations – Figma, Supabase, Stripe, Vercel\n\nAdditionally, SOLO will be released to everyone. Starting Nov 12, it's open to everyone and free for 3 days.\n\nAt the same time, we've hit 1M monthly active users, becoming the Top 2 AI IDE worldwide.\nWe're incredibly proud to grow alongside our community — bringing more efficiency and creativity to developers around the world.\n\nIf you believe in the future of AI-powered coding, we'd love your support ❤️\n\nCheers!","review":"TRAE SOLO 代表了 AI 驱动编码工具的最新演进方向。作为全球排名前二的 AI IDE,其核心创新在于多 agent 协作架构和规划优先的工作流设计,有效解决了传统编码 agent 在复杂任务中的响应不足和过程不透明问题。通过视觉化界面、实时进度反馈和并行执行能力,使开发者能更直观地与 AI 协作。目标用户是需要处理复杂开发任务的专业开发者和团队。与其他编码 agent 相比,SOLO 的差异化优势在于其多 agent 子任务分解能力和深度工具集成(Figma、Stripe 等),覆盖全链路开发流程。作为字节跳动的 AI 开发工具,其技术实力和用户基数都具有说服力。主要挑战包括如何持续提升代码质量准确率,以及在国际市场中建立竞争力。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","编码氛围","Vibe coding"]},{"name":"cto.new","tagline":"完全免费的 AI 代码 agent","description":"支持 Anthropic、OpenAI 等最新前沿模型进行代码编写。无需信用卡或 API 密钥。仅限 Product Hunt 用户即时访问 - https://cto.new/product-hunt","votesCount":177,"commentsCount":16,"createdAt":"2025-11-12T08:01:00Z","website":"https://www.producthunt.com/r/UB33J7N3GNJZZX?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/cto-new?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/0cffb91f-ce72-4500-9b3b-95900f4ddcc9.png?auto=format","topics":["开发者工具","人工智能","开发"],"firstComment":"我们构建 cto.new 的目的是让任何人都能使用优秀的 AI 代码生成工具。订阅疲劳是一个真实存在的问题,要使用来自 OpenAI 和 Anthropic 的最新最强模型,过去需要花费大量金钱。通过为整个软件团队提供一流的 AI 代码生成 agent,运行在最先进的前沿模型上,完全免费使用,我们正在民主化 AI 代码生成技术的获取权。","date":"2025-11-12","id":"2025-11-12-6-cto.new","taglineEn":"Completely free AI code agent","descriptionEn":"Code with the latest frontier models from Anthropic, OpenAI and more. No credit card or API keys required. Instant access only for Product Hunt - https://cto.new/product-hunt","topicsEn":["Developer Tools","Artificial Intelligence","Development"],"firstCommentEn":"We built cto.new to make it possible for anyone to build with great AI code generation tools. Subscription fatigue is real, and to use the latest and best models from OpenAI and Anthropic you previously had to shell out a ton of money. By offering a best-in-class AI code generation agent for the whole software team, running on the best frontier models, completely for free, we're democratizing who gets access to build with AI.","review":"cto.new 直击开发者长期面临的两大痛点:订阅成本高和模型访问受限。通过聚合 Anthropic、OpenAI 等最前沿的代码生成模型,并完全免费提供,该产品有效降低了中小开发团队的技术成本。其核心创新在于免费模式的商业可行性——通过 Product Hunt 专享的激励机制获取初期用户,为后续的商业化转向积累用户基础。目标用户涵盖个人开发者、初创团队和教育机构等对成本敏感的群体。产品的关键竞争力在于模型的新鲜度和生成质量,但长期的商业可持续性需要观察。同时,如何平衡免费用户和付费用户的资源分配,以及防止滥用行为,也是需要关注的运营挑战。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents"],"normalizedTopics":["开发者工具","AI 与智能体","Development"]},{"name":"Hathora","tagline":"探索、测试和部署生产级语音模型","description":"在开源或闭源模型基础上构建语音 agent,无需 DevOps。从共享端点快速启动,升级至专用基础设施以满足隐私、合规或 VPC 需求。模型在 14 个地区运行,实现超低延迟。扩展时可自带模型或自定义容器。","votesCount":174,"commentsCount":32,"createdAt":"2025-11-12T08:01:00Z","website":"https://www.producthunt.com/r/JDU7PNJ6YDGLQR?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/hathora?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/394b0990-f904-48d5-8d0f-72c73307e746.png?auto=format","topics":["开发者工具","人工智能","音频"],"firstComment":"大家好!👋 我是 Hathora 的联合创始人 Sid,很高兴今天向各位分享 Hathora 旗下的 Models 产品。\n\n问题所在:\n我们与数十位构建语音 AI 应用的开发者交流过,他们的故事总是如出一辙:花费更多时间处理基础设施问题,而非改进 agent。全球部署语音模型、管理延迟、处理扩展——这些都是对实际产品开发的巨大干扰。另一方面,如果使用 OpenAI、ElevenLabs 和 Cartesia 等团队提供的闭源模型,成本要高出 7 倍。\n\n解决方案:\nModels 让开发者能够托管来自模型市场的一个或多个模型,并在托管基础设施上对其进行微调。我们处理全球分发、基础设施复杂性和扩展问题——开发者专注于构建出色的语音体验。\n\n构建的原因:\nHathora 一直在为实时应用构建基础设施(最初用于游戏服务器,其中哪怕 20 毫秒都很关键)。我们看到语音 AI 中出现相同的模式:开发者需要低延迟、全球分发和可靠的基础设施。Models 将这种基础设施即服务的方法带到语音模型领域。\n\nModels 的独特之处:\n部署到全球边缘节点,为全球用户提供低于 50 毫秒的网络延迟\n\n使用开源模型(无供应商锁定,完全可定制)\n\n在托管计算上使用自有数据进行微调\n\n零 DevOps:我们处理基础设施并提供无服务器端点\n\n当前状态:\n我们已进入 beta 阶段,拥有 10-15 个早期用户,今天正式开放访问权限。我们很想听取反馈,了解语音 AI 使用场景!\n\n特别优惠:\nProduct Hunt 用户使用代码 PHMODELS 可获得一个月的 Hathora 无限使用权,优惠有效期至 12 月 31 日。\n\n感谢关注!有任何问题我很乐意解答。🚀\n\n在 PH、X 和 LinkedIn 上关注我们,了解社区动态,无论是线下还是线上。","date":"2025-11-12","id":"2025-11-12-8-hathora","taglineEn":"Explore, test & deploy production ready voice models. ","descriptionEn":"Build voice agents on open source or closed models with zero DevOps. Start instantly on shared endpoints and upgrade to dedicated infrastructure for privacy, compliance, or VPC requirements. Models run in 14 regions for ultra low latency. Bring your own models or custom containers as you scale.","topicsEn":["Developer Tools","Artificial Intelligence","Audio"],"firstCommentEn":"Hey Product Hunt! 👋 I'm Sid, co-founder of Hathora, and I'm excited to share Models powered by Hathora with you today.\n\nThe Problem:\nWe've talked to dozens of developers building voice AI applications, and the story is always the same: they spend more time wrestling with infrastructure than improving their agents. Deploying voice models globally, managing latency, handling scale — it's a massive distraction from the actual product. On the other hand, if you use closed source models from teams like OpenAI, ElevenLabs, and Cartesia you pay 7x the price.\n\nOur Solution:\nModels allows you to host your own models one (or many) from our model marketplace and fine-tune them on our managed infrastructure. We handle the global distribution, the infrastructure complexity, and the scaling - you focus on building great voice experiences.\n\nWhy We Built This:\nAt Hathora, we've been building infrastructure for real-time applications (originally for game servers, where even 20ms matters). We saw the same patterns emerging in voice AI: developers need low latency, global distribution, and reliable infrastructure. Models brings that same infrastructure-as-a-service approach to voice models.\n\nWhat Makes Models Different:\nDeploy to edge locations worldwide and give your global user base sub-50ms network latency\n\nUse open-source models (no vendor lock-in, full customization)\n\nFine-tune on your own data with managed compute\n\nZero DevOps: we handle the infrastructure and provide serverless endpoints\n\nCurrent Status:\nWe're in beta with 10-15 early users, and we're opening up access today. We'd love to hear your feedback and learn about your voice AI use cases!\n\nSpecial Offer:\nProduct Hunt users one month UNLIMITED USE on Hathora with code PHMODELS, and the offer expires December 31.\nThanks for checking us out! Happy to answer any questions. 🚀\n\nFollow us on PH, X, and LinkedIn to stay up-to-date with our community initiatives, both IRL and online.","review":"Hathora 切中了语音 AI 开发的核心痛点。在当前市场中,开发者在选择语音模型时面临两难局面:使用闭源商业模型虽然便捷但成本高昂,自建基础设施则需要投入大量 DevOps 资源。Hathora 的 Models 产品通过托管化方案解决了这一矛盾,让开发者能够灵活选择开源或闭源模型,同时免除基础设施维护负担。产品在全球 14 个地区的低延迟部署能力尤为亮眼,特别适合构建实时交互式语音应用。当前处于 beta 阶段,目标用户是追求快速迭代和成本优化的初创团队及中型企业。面临的主要挑战是如何与已建立的 API 提供商(如 OpenAI)竞争,以及如何确保微调能力和模型性能的一致性。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","design-creative"],"normalizedTopics":["开发者工具","AI 与智能体","设计、图片与视频"]},{"name":"C1 Artifacts API","tagline":"构建能生成精美幻灯片和报告的 AI 应用","description":"在 AI 应用中直接生成交互式幻灯片和报告,完全符合品牌风格。通过提示词轻松创建和编辑,支持链接分享。仅需 3 步集成,或作为 MCP 在最喜爱的 AI 应用中尝试。","votesCount":226,"commentsCount":9,"createdAt":"2025-11-11T08:01:00Z","website":"https://www.producthunt.com/r/HHSLVZ6UQ4HWLC?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/thesys?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/9ee438bb-2fdd-4497-ad45-a358708a83d7.png?auto=format","topics":["API","开发者工具","人工智能"],"firstComment":"👋🏻\n大家好,我是 Thesys 的联合创始人 Parikshit。\n上个月我们推出了 C1 生成式 UI API,反响超出预期。数千名开发者注册使用,开始用我们的产品构建 AI 应用,并比想象中更快地将 C1 推向生产环境。\n\n因此今天,我们很高兴推出愿景中的下一个重大步骤:\n\n推出 C1 Artifacts API\n构建能生成幻灯片和报告的 AI 应用。\n\n问题所在:\n当前,用户被困在应用间切换:从产品中获取洞察,切换到 ChatGPT 总结,然后移入 Google Slides 或 PowerPoint,花费数小时创建幻灯片和报告分享给团队。这既缓慢又繁琐,打断了工作流。\n\n解决方案:\nC1 Artifacts API 解决了这个问题。用户现在可以创建美观交互的 Artifacts:\n\n✦ 具有精美布局和视觉效果的幻灯片\n✦ 包含交互式图表和摘要的报告\n\n通过后续提示词优化一切内容。完全符合品牌风格。即时可分享。\n\n举例:\n\n✦ 如果构建销售 copilot,用户可立即生成季度业务评审演示或管道分析报告。\n✦ 如果构建支持 agent,用户可立即创建工单趋势报告或 SLA 性能幻灯片。\n✦ 如果构建教育 AI 导师,学生可立即获取关于世界人口趋势或气候变化报告的吸引人幻灯片。\n\nC1 Artifacts API 让 AI 应用真正完成工作,而不仅仅输出文本。用户留在产品内。省去数月的 UI、布局、导出和主题设计工程。\n\n3 个简单步骤集成:\n\n1️⃣ 初始化客户端\n2️⃣ 发起生成请求\n3️⃣ 用 SDK 渲染\n\n或在 ChatGPT、Claude、Cursor 等最喜爱的 AI 应用内作为 MCP 尝试。\n🎁 发布奖励:今日早期注册获得高达 500 万免费 token。\n❤️ 在此尝试:https://thesys.dev/artifacts\n\n期待看到打造的成果——反馈将影响后续发布内容。","date":"2025-11-11","id":"2025-11-11-4-c1-artifacts-api","taglineEn":"Build AI apps that can generate stunning slides and reports","descriptionEn":"Let your users generate interactive slides and reports right within your AI app, fully on-brand. Easy to create and edit with prompts, and share with a link. Integrate in just 3 steps or try it as an MCP in your favorite AI app.","topicsEn":["API","Developer Tools","Artificial Intelligence"],"firstCommentEn":"👋🏻\nHey folks, Parikshit here, co-founder of Thesys.\nLast month, we launched C1 Generative UI API, and the response genuinely blew us away. Thousands of developers signed up, started building AI apps with us, and pushed C1 into production faster than we imagined. \n\nSo today, we're excited to ship the next big step in that vision: \n\nIntroducing\nC1 Artifacts API\nBuild AI apps that can generate Slides & Reports.\n\nThe problem :\nToday, your users are stuck app-hopping: They pull insights from your product, switch to ChatGPT to summarize, then move everything into Google Slides or PowerPoint and spend hours creating slides & reports to share with their team. It's slow, manual, and breaks the workflow.\n\nSolution :\nC1 API for Artifacts solves this. Your users can now create beautiful and interactive Artifacts:\n\n✦ Slides with aesthetic layouts and visuals\n✦ Reports with interactive charts and summaries\n\nAnd refine everything with follow-up prompts. Fully on-brand. Instantly shareable.\n\nFor example :\n\n✦ If you're building a sales copilot, your users can instantly generate a quarterly business review deck or pipeline analysis report.\n✦ If you're building a support agent, your users can instantly create ticket trend reports or SLA performance slides.\n✦ If you're building an edtech AI tutor, your students can instantly consume engaging slides about world population trends or climate change reports.\n\nC1 API for Artifacts lets your AI app actually get work done, not just output text. Your users stay in your product. And you save months of engineering on UI, layouts, exporting, and theming. \n\nIntegrate in 3 simple steps :\n\n1️⃣ Initialize the client\n2️⃣ Make a generation request\n3️⃣ Render with our SDK\n\nOr try it as an MCP inside your favorite AI apps like ChatGPT, Claude, Cursor, etc.\n🎁 Launch bonus: Get up to 5M free tokens for early signups today.\n❤️ Try it here: https://thesys.dev/artifacts \n\nExcited to see what you build - your feedback will shape what we ship next.","review":"C1 Artifacts API 针对 AI 应用中内容生成与分享的碎片化痛点提出了优雅的解决方案。传统工作流中,用户需在多个应用间切换完成从洞察提取到内容呈现的全流程,效率低下。该产品通过 API 集成直接在 AI 应用内生成专业级幻灯片和报告,保持品牌一致性,显著降低开发成本。核心优势在于简化的集成流程(仅需 3 步)、MCP 兼容性支持多个 AI 平台,以及完整的交互功能支持。产品面向销售、支持、教育等多个垂直领域,具有广泛的适用性。潜在挑战包括模板和定制化程度、与现有商务工具的深度集成,以及在复杂报告生成中的准确性保证。从市场角度看,这类生成式 UI 能力正成为 AI 应用的核心竞争力,Thesys 的早期布局在赛道中具有先发优势。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","finance-business"],"normalizedTopics":["开发者工具","AI 与智能体"]},{"name":"AlterBase","tagline":"发现更好的替代方案","description":"探索知名软件和工具的更优替代方案。对比功能、价格,为需求找到完美的工具。提交工具并发现更好的替代品。","votesCount":167,"commentsCount":19,"createdAt":"2025-11-10T08:01:00Z","website":"https://www.producthunt.com/r/MCBYG7O5UD5BYC?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/alterbase-2?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/3556d659-2b70-40e6-abc9-6044e9f44c26.png?auto=format","topics":["SaaS","开发者工具","Web3"],"firstComment":"大家好,Product Hunt!\n\n在过去几年里,我一直在开发独立产品,有个问题反复出现——寻找廉价或自托管的替代方案来替代那些昂贵的工具,这些工具要么不支持我所在的国家,要么对小团队来说功能过于庞大。\n\n每次启动新项目,我都要花费几个小时在 Reddit、Twitter 或随机博客上搜索替代品。大多数「替代品」网站的数据库都已过时、用户体验糟糕,或搜索结果不相关。\n\n这激发了我构建 AlterBase 的想法——一个精心策展和社区驱动的目录,制造者可以在其中发现和分享真正有用的独立友好型替代方案。\n\n在这个过程中,我意识到这不仅仅是一个列表问题,而是一个发现问题。因此,我没有尝试自动化所有内容,而是专注于手工策展、简洁设计和透明度——这样的方式能够随着社区成长,而不是随时间衰落。","date":"2025-11-10","id":"2025-11-10-7-alterbase","taglineEn":"Find better alternatives","descriptionEn":"Discover better alternatives to well-known software and tools. Compare features, pricing, and find the perfect tool for your needs. Submit your tool and explore better alternatives.","topicsEn":["SaaS","Developer Tools","Web3"],"firstCommentEn":"Hi, Product Hunt!\n\nI've been building indie products for the past couple of years, and one challenge kept repeating — finding affordable or self-hosted alternatives to expensive tools that either didn't support my country or were simply overkill for small teams.\n\nEvery time I started a new project, I'd lose hours searching for alternatives on Reddit, Twitter, or random blogs. Most \"alternative\" websites had outdated databases, poor UX, or irrelevant results.\n\nThat's what inspired me to build AlterBase — a curated and community-driven directory where makers can find and share indie-friendly alternatives that actually work.\n\nDuring the process, I realized this isn't just a list problem but a discovery problem. So instead of automating everything, I focused on manual curation, clean design, and transparency — something that grows with the community rather than decaying over time.","review":"AlterBase 针对软件选型的痛点提供了系统化解决方案。在工具爆炸的时代,独立开发者和小团队面临的核心挑战不是缺乏选择,而是如何从众多选项中快速找到符合预算、适应场景的最优方案。AlterBase 的创新在于以社区策展而非算法推荐为核心,确保信息质量和相关性。其优势包括手工精选的高质量数据库、简洁直观的对比界面,以及透明的社区参与机制。目标用户覆盖独立开发者、初创公司和对成本敏感的团队。产品的可持续性关键在于保持社区活跃度和内容新鲜度,同时避免成为过时的替代品列表。在 SaaS 生态日益复杂的背景下,这类发现工具具有持续的市场需求。","primaryCategory":"developer-tools","categories":["developer-tools"],"normalizedTopics":["SaaS","开发者工具","Web3"]},{"name":"Magic MCP by Metorial","tagline":"为氛围编程提供 600+ 集成,无需任何配置","description":"连接 AI 与现实世界工具的企业级平台。Metorial 提供 600 多种 MCP 集成,具备真正的无服务器托管、单行 OAuth 和完整的可观测性。现在推出 Magic MCP:通过完全托管的远程 MCP 服务器,一键为 Cursor、Claude Code 和 GitHub Copilot 提供集成访问。开源、可自托管,专为开发者打造。","votesCount":119,"commentsCount":7,"createdAt":"2025-11-10T08:01:00Z","website":"https://www.producthunt.com/r/USGTMKXRRZOEK7?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/metorial?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/8bfbe5b4-14ce-49fa-9c6d-f49e6d40f24d.png?auto=format","topics":["开发者工具","人工智能","GitHub","科技"],"firstComment":"大家好,Product Hunt!\n\n我是 Metorial (YC F25) 的 Tobias。\n\n最近,我们推出了 Metorial,旨在解决一个巨大的难题:将 AI agent 连接到现实世界的工具非常困难。我们构建了一个让这一切变得轻而易举的平台。\n\n今天,我们很高兴推出 Magic MCP:将任何 AI 工具连接到 600 多种集成的最简单方式。\n\nMetorial 的功能:\n我们是连接 AI agent(LLM、语音等)到万物的完整平台:\n600+ MCP 集成 - 连接到 Google Calendar、Sentry、Salesforce、GitHub、Linear、Notion、Slack、HubSpot 等 600 多种服务。\n\n真正的无服务器 MCP 托管 - 我们是唯一能够暂停和恢复 MCP 服务器而不会丢失状态或中断连接的平台。会话可以持续数周,而只产生几秒钟的计算时间。\n\n单行 OAuth - 在所有集成中,通过一行代码处理身份验证。\n\n完整的可观测性 - 每条消息、工具调用和错误都可以在我们的仪表板中追踪。\n\n专为开发者打造 - 精美的 Python 和 TypeScript SDK,全面的 API。\n\n开源且可自托管 - github.com/metorial/metorial\n\n介绍 Magic MCP:\n今天,我们将此更进一步。Magic MCP 让将 Metorial 的 600 多种集成连接到自己的开发工具变得毫不费力:\n一键连接 - 立即将任何集成添加到 Cursor、Claude Code 或 GitHub Copilot。无需配置文件、连接字符串或重启。\n\n单行代码 - 使用我们的 SDK 进行编程非常简单。\n\n零配置 - 我们处理连接管理、凭证和状态。\n\n随处可用 - 无论是构建 agent 还是增强 IDE,都使用相同的集成。\n\n(这甚至适用于 Salesforce 等企业级应用)\n\n愿景:\n任何 AI 产品都应该能够在几分钟内连接到任何工具或数据源,而不是几个月。无论是构建面向客户的 agent、内部自动化,还是仅仅希望编码助手能够访问公司的工具——Metorial 都能实现。顺便说一句,企业很喜欢我们,我们可能对贵公司也有价值。\n\n使用代码 PH50 可享 5 折优惠!\n\n开始使用:app.metorial.com\nGitHub:github.com/metorial\n预约演示:cal.com/karim-rahme/launch-yc\n\n~ Tobias & Wen","date":"2025-11-10","id":"2025-11-10-9-magic-mcp-by-metorial","taglineEn":"600+ integrations for vibe coding, zero config required","descriptionEn":"The enterprise-grade platform for connecting AI to real-world tools. Metorial provides 600+ MCP integrations with truly serverless hosting, one-line OAuth, and full observability. Now with Magic MCP: one-click integration access for Cursor, Claude Code, and GitHub Copilot using fully-managed remote MCP servers. Open-source, self-hostable, built for developers.","topicsEn":["Developer Tools","Artificial Intelligence","GitHub","Tech"],"firstCommentEn":"Hey Product Hunt!\n\nTobias here from Metorial (YC F25).\n\nRecently, we launched Metorial to solve a massive problem: connecting AI agents to real-world tools is hard. We built a platform that makes it trivial.\n\nToday, we're excited to launch Magic MCP: the easiest way to connect any AI tool to 600+ integrations.\n\nWhat Metorial does:\nWe're the complete platform for connecting AI agents (LLMs, Voice, etc.) to everything:\n600+ MCP integrations - Connect to Google Calendar, Sentry, Salesforce, GitHub, Linear, Notion, Slack, HubSpot, and 600+ more services\n\nTruly serverless MCP hosting - We're the only platform that can pause and resume MCP servers without losing state or interrupting connections. Sessions can live for weeks while only incurring seconds of compute time\n\nOne-line OAuth - Authentication handled in a single line of code across all integrations\n\nFull observability - Every message, tool call, and error is traceable in our dashboard\n\nBuilt for developers - Beautiful Python & TypeScript SDKs, comprehensive APIs\n\nOpen source & self-hostable - github.com/metorial/metorial\n\nIntroducing Magic MCP:\nToday we're taking this even further. Magic MCP makes connecting Metorial's 600+ integrations to your own dev tools effortless:\nOne-click connect - Add any integration to Cursor, Claude Code, or GitHub Copilot instantly. No config files, no connection strings, no restarts.\n\nOne-line for code - Programmatic using our SDKs is super easy\n\nZero configuration - We handle connection management, credentials, and state\n\nWorks everywhere - Same integrations for building agents or enhancing your IDE\n\n(This even works for enterprise stuff like Salesforce)\n\nThe vision:\nAny AI product should be able to connect to any tool or data source in minutes, not months. Whether you're building customer-facing agents, internal automation, or just want your coding assistant to access your company's tools - Metorial makes it possible. BTW enterprises love us, we might be interesting for your company as well.\n\nUse code PH50 for 50% off!\n\nGet started: app.metorial.com\nGitHub: github.com/metorial\nBook a demo: cal.com/karim-rahme/launch-yc\n\n~ Tobias & Wen","review":"Metorial 的 Magic MCP 精准地瞄准了 AI 应用开发中的一个核心瓶颈:工具集成。随着 AI agent 的普及,如何让它们安全、高效地调用外部 API 和工具成为开发者的普遍痛点。该产品通过提供 600+ 预构建的 MCP 集成,将集成时间从\"数月\"缩短到\"分钟\",极大地提升了开发效率。其核心创新在于\"真正的无服务器托管\"和\"状态保持\"能力,解决了传统方案中连接中断和状态丢失的问题。目标用户明确为 AI 应用开发者、企业自动化团队以及希望增强 IDE 能力的程序员。其开源和可自托管的特性,兼顾了社区开发者与企业对安全可控的需求。潜在挑战在于,随着集成数量的增加,如何保证每个集成的稳定性和安全性,以及如何应对不同企业复杂的内部系统认证场景。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","social-community"],"normalizedTopics":["开发者工具","AI 与智能体","社交、社区与内容","Tech"]},{"name":"Fire Your QA Today","tagline":"用 AI 自动化 QA 测试","description":"将屏幕录制转变为完全自主的 QA agent。无需脚本或 API,即可为网页应用、内部工具、CRM 和 ERP 系统自动化测试。","votesCount":261,"commentsCount":28,"createdAt":"2025-11-06T08:01:00Z","website":"https://www.producthunt.com/r/S7UL3ZDPEV7RTV?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","url":"https://www.producthunt.com/products/fire-your-qa-today?utm_campaign=producthunt-api&utm_medium=api-v2&utm_source=Application%3A+P-hunt-daliy+%28ID%3A+242937%29","imageUrl":"https://ph-files.imgix.net/3b7bfd9c-abc1-4fdf-bbf4-4cc69201105b.png?auto=format","topics":["浏览器扩展","开发者工具","人工智能"],"firstComment":"大家好,我是 Samarth 👋\n\n我们与每个技术团队交流过,都遇到了同样的问题:测试会打断工作节奏,人们讨厌做测试,流程缓慢,基于 API 的自动化在演示应用之外几乎无效。\n\n我们意识到唯一的解决方案是完全跳过 API,因此构建了一个浏览器原生 agent,它模拟实际 QA 人员测试系统的方式。它通过简单的屏幕录制学习测试流程。\n\n只需安装这个 Chrome 扩展,按照平常的方式录制至少一个测试用例的屏幕,我们就会为提供一个能为运行数千个测试用例的 agent。\n\n想了解更多细节,可以观看我们的演示视频。\n\n现在它能处理 UI 调整、加载时间、shadow DOM,甚至传统框架无法支持的遗留系统,如 Netsuite、SAP 和其他 ERP。\n\n非常期待听到社区提出的更多 QA Agent 用例,一起打造更好的产品。","date":"2025-11-08","id":"2025-11-08-9-fire-your-qa-today","taglineEn":"Automate QA testing with AI","descriptionEn":"Turn your screen recording into a fully autonomous QA agent. Automate testing for your web apps, internal tools, CRMs, and ERPs without scripts or APIs.","topicsEn":["Chrome Extensions","Developer Tools","Artificial Intelligence"],"firstCommentEn":"Hey everyone, Samarth here 👋 \n\nEvery tech team we spoke to had the same problem: testing breaks momentum and people hate doing it, it's slow, and API-based automation barely works beyond demo apps .\n\nWe realized the only way to fix it was to skip the APIs altogether, so we built a browser-native agent that literally mimics how your actual QA tests your systems. It learns your QA testing flow from a simple screen recording.\n\nAll you have to do install this chrome extension and record your screen doing the QA testing like you normally would for atleast one test case and we'll deliver an agent that can run thousands of test cases for you.\n\nTo learn more about the process, watch our demo here\n\nIt now handles UI tweaks, load times, shadow DOMs, and even some legacy systems that traditional frameworks give up on like Netsuite, SAP, and other ERPs.\n\nWould love to hear more QA Agent use cases from the community and build for them.","review":"Fire Your QA Today 通过创新的无脚本自动化方案直击测试领域的核心痛点。传统 QA 流程低效、人力密集、容易出现人为错误,而 API 驱动的自动化工具则因复杂度高、维护成本大而效果有限。该产品巧妙地利用浏览器原生能力和 AI 技术,通过屏幕录制即可创建智能测试 agent,大幅降低自动化门槛。其目标用户为中小型技术团队和大企业的 QA 部门。核心创新在于摒弃 API 依赖,支持跨越 UI、shadow DOM 乃至遗留系统的测试场景,覆盖 Netsuite、SAP 等主流 ERP。相比传统自动化框架,该解决方案更加灵活易用。主要挑战在于如何保证 agent 的稳定性和准确率,以及如何处理不断变化的应用界面。","primaryCategory":"developer-tools","categories":["developer-tools","ai-agents","productivity"],"normalizedTopics":["生产力与办公","开发者工具","AI 与智能体","Chrome Extensions"]}]}