@aydenlimdev · X

If you want to connect, and follow along!

@claroboard · X

I built a whiteboard. The hardest part wasn't the coding. The hardest part was getting the first users. Want to give it a try?

tekbog · HN

Research Rooms for Agents

@torgimaOS · X

Voice to any document in 30 seconds

u/clearspacetask · Reddit

The hardest part of my $0.99 task manager wasn’t pricing—it was earning trust I’m building ClearSpace as a very small SaaS, with a Pro plan priced at $0.99/month. I originally thought the difficult decisions would be pricing, billing and deciding which features belonged in Pro. They weren’t. The harder problem was making the product feel trustworthy enough that someone would put real work into it. A task manager can have every feature on the checklist and still lose a user the first time

@elixpo_ · X

Trying out blogging PaaS:-

@RohanMuni · 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/Which-Breadfruit-926 · Reddit

Launched an AI podcast studio that competes with NotebookLM's audio overviews, here's the positioning bet I'm making (founder here) Founder here, disclosing upfront per sub rules. Most people's mental model for "AI podcast" right now is NotebookLM's Audio Overview: two hosts, a few minutes, generated from your own docs, capped by a daily limit, no easy way to publish it anywhere. PaperVoiceLab ( https://papervoicelab.com ) is built for a different job: you give it a topic (not just a docu

@sathishn · X

@otakovo · X

starfallg · HN

Bento - An entire PowerPoint in one HTML file (edit+view+data+collab)