Flowing

Hi Product Hunt! 👋 I'm Jim, an independent developer, and I'm really excited to finally share Flowing with you. Over the years, I've noticed a few recurring pain points in research writing. You know you've seen the evidence before. You might even remember the paper—but not where the relevant paragraph, figure, or experiment is. So you leave your editor, open PDFs, search again, and break your writing flow—sometimes only to realize you still can't find the exact passage you needed. So I started building Flowing around one simple idea: Keep your research library inside the writing process. Instead of leaving your editor to search through dozens of PDFs, Flowing automatically detects high-quality keywords you're writing about and surfaces the most relevant snippet from your own paper library. You can preview the snippet thumbnail or return to the original source with one click. Moreover, thanks to those retrieved snippets and your manuscript as context, Flowing's continuation and polishing suggestions stay much closer to your intended narrative than what you'd typically get from general-purpose AI assistants like ChatGPT. We even benchmarked this on a real chemistry PhD manuscript, where the difference became surprisingly clear. (Here is the detail if you are interested in: 📝https://flowing.works/en/blog/ai-paper-continuation-comparison) Flowing is now publicly available. 🎉 To celebrate the launch, we're offering an Early Bird program. Join our Discord (https://discord.gg/Vqh7sKeJn4) to receive an invite code, and you'll get 2 years free, plus 50% off for life after that. If you're already using ChatGPT, Claude, or Gemini for research writing, I'd genuinely love to hear how you currently keep your reference library in the loop—or whether that's still a pain point for you. Thanks so much for checking out Flowing! 🙌