fahimulhaq · HN

Show HN: Fenzo AI – Interactive Micro-courses on any topic

mistakevin · HN

I've been working on https://notebooker.ai if anyone is interested in giving some feedback. I tried to post a Show HN yesterday with details about how I built it, but was auto-flagged and not sure what rules I broke. Everything that I've built on top of open-notebook, like the plugin system for your own "creators" (aka, podcasts, infographics, etc) is at https://github.com/Notebooker-ai plus a Cloudflare Worker AI deployer to play with different models. Been working on it for about six months.

@lavishmehra54 · X

Not building anymore, i just launched Morasious - Turns The Most powerful book's like The Prince, 48 laws of power like books into answers for whatever you're stuck on, so instead of reading books over 100+ pages just got the core and apply in real life 🔗

@nameisnotanoun · X

@prof_safezone · X

Gambling on debate rounds with AI judges.

u/connerpro · Reddit

IntelligenceMax - Adaptive reasoning practice with live AI questions (claim-safe near vs far) submitted by /u/connerpro to r/SideProject [link] [comments]

@ShashankBhutiy4 · X

Duolingo for Soft Skills and career growth

@BruceWayne95290 · X

just leaving a comment cause its 1am and im vibe coding, will come back tomorrow (on an alt account for open claw fyi) I've worked with the following brands: vytadose, bajabeachco, jaje health, eric javits, 4knines, welleco, coatdefence

@DionJerry · X

Promoting We already have over 800 Signups!

@hazemnassr · 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

@be_qrio · X