@indradevGod89 · X

@clawncore · X

@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

u/rahmanbite · Reddit

Read research papers is funny but find the right one is challenging If I want read a research papers always time consuming: - visit the repository - start bunch of filters - download PDF, read it.. - then what next? reading history missing.. Why not use excel to save the link? this work again, I'm not happy :( and... how to make sure I read paper properly? no test, no judging.. right? Why not AI papers finder tools like SciSpace, Elicit or something like that? Again.. to

boveyking · HN

College application essay inspiration and brainstorm

@FalhdirA · X

Check out what I just built with Lovable!

@Bongoscown · X

Check out what I just built with Lovable!

@AsDavidi3g5 · X

Check out what I just built with Lovable!

@vrajshroff · X

Personalized learning for students

colibris · HN

AI Assistant that verifies its own sources

@gamil782003 · X

Check out what I just built with Lovable!

@ProfDeskApp · X

Let's connect. Building giving teachers their night back.