@hazemnassr · X

@penwellapp · X

Boring docs in. Beautiful notebooks out. Try it here: 🚀 We just launched on Product Hunt! Your support would mean the world: #BuildInPublic #ProductHunt #AI #Notes #IndieHackers #CornellNotes #Productivity #StudyNotes #Penwell

@leahlibest · X

the most aesthetic AI slides website

@thebuildclub_cc · X

u/ramu9703 · Reddit

I built a public ledger that tracks a software idea from "shower thought" to shipped code hey everyone, I spent my weekend building a public backlog called vibehub (thanks 5.6 sol :) ) the main problem i wanted to solve is that too many good micro-ideas die in notes apps, and too many open-source projects launch without anyone knowing why they were built, who had the original spark, or how they evolved vibehub tracks the entire lineage of a project: - public feed of software briefs

@Hanumliahzhra · X

vibecoding free tier Just discovered Vibe Coding Plan - AI-powered project planning that breaks down ideas into actionable tasks! Check it out

@AadyaAI · X

Aadya AI turns a client conversation into a branded, ready-to-send proposal or invoice PDF in 60 seconds — no templates, no formatting, no chasing.

u/Wrong_Election189 · Reddit

I built one memory for notes, people and money because none of my apps knew the full story Solo dev here. I built CleverNote because my information kept getting split across three places: notes for what happened, contacts for who was involved, and a finance app for how much it cost. None of them knew the full story. The concrete example I keep using is a plumber receipt. I snap the receipt and CleverNote keeps the original note, identifies the plumber as a person/service, records the amount

@ShashankBhutiy4 · X

Duolingo for Soft Skills and career growth

@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

@its_mepius · X

@pitchspark_ai · X