
findcoffemate: Where developers meet to build the future
@SinmideleD My Portfolio - https://t.co/fTHd8myAbN My Product - https://t.co/T4XvlcQeP4
@binaykumardas96 · X
My Portfolio - My Product -
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@SinmideleD My Portfolio - https://t.co/fTHd8myAbN My Product - https://t.co/T4XvlcQeP4
@binaykumardas96 · X
My Portfolio - My Product -

AI chatbot that answers visitor questions, qualifies leads, and books meetings on your website.
@A11anTa · X
a smart link in bio

Save connections from X and LinkedIn with context to reconnect at the right time.
@aditya_founder · X

Share files, collect documents, and discuss them with clients—no signup required.
@droplana_com · X

Free AI studio for writing emails and letters without signing up.
maurice_van_de_wouw · Product Hunt
OutreachForce AI Free AI Email & Letter Studio - No Login Required

Practice algorithm interview problems with solutions and interactive visualizers.
@Galliard232634 · X
Come study with me on

Create surveys, quizzes, and interactive games with AI-powered insights in one platform.
@lemhamza · X

Track links and QR codes, create bio pages, and pitch to sponsors with verified engagement data.
@saifcodes_exe · X

AI-powered search and chat assistant for instant answers.
@basak_b81016 · X
Just shipped my Perplexity AI Clone! From an idea to a working AI application. This project helped me learn AI integration, backend architecture, and building better user experiences. 🌐 Live: More projects coming soon. 👨💻 #BuildInPublic #AI #MERN

Daily questions game where you compare honest answers with friends, groups, and the world.
@checkmurmur · X

Organize your tools, workflows, and resources into one accessible workspace.
@mj_jimmi · X

Manage academic conferences: submit and review papers, handle scheduling and registration.
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age