zemariagp · HN

An interactive explorer of Rand Paul's opening at Fauci's hearing

jens_bjerregaard · Product Hunt

Tables.so AI that finds, qualifies and enriches your next customer

u/AmazingFinger · Reddit

VeriRedact - Offline PDF redactor because I didn't trust any tool with my tax returns Apartment hunting meant sending my SSN, tax returns, and bank statements to strangers, often all in one PDF. Redacting them myself with a black box or highlighter tool felt scary. Cloud tools wanted me to upload my tax return to fix that. However, I didn't trust them, and the one that look trustworthy would charge a lot of money. So I built VeriRedact. Load it, optionally download the local A

@TechPriest_001 · X

@xxonnn · X

I built with ChatGPT Work! 🎉A beginner-friendly guide for undergrad and early grad students on the full research workflow Designed especially for Thai students (with English version available)Check it out here: #ResearchTips #LitReview #HigherEd

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

schildep · GitHub

verified-3d-mesh-intersection Formally verified 3D mesh intersection - trust 93 lines of spec, not 1000+ lines of AI-written code

@NoahSamson__ · X

Sam 🎓 — AI research assistant for students Drop your topic → get a full research brief in 60 seconds. Summary, sources, citations, unique angle. Delivered as a Google Doc to your inbox. Free for any student anywhere 🌍 →

u/Ok-Ordinary-5071 · Reddit

Kanshiki - grades health claims and published research An evidence-grading tool for health and medical claims, powered by PubMed literature and (optional) AI-assisted analysis. Demo: https://kanshiki.kitaaura.com/ GitHub: https://github.com/kitakitaaura/kanshiki submitted by /u/Ok-Ordinary-5071 to r/SideProject [link] [comments]

@BwalyaJuli88221 · X

Check out what I just built with Lovable!

@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