@wztlink1013 · X

自己写了一个工具，专为内容创作者多平台发布， 富文本编辑体验，同时支持多个平台的格式平替兼容。

@tomyamateo · X

MindNote - Multimodal AI Notetaker

@rubs_murga · X

@torgimaOS · X

Voice to any document in 30 seconds

@lynkxapp · X

@VanshSura · X

Just shipped a fresh UI update for MindDock ✨ Redesigned the experience to feel cleaner, faster, and more focused—making it easier to capture ideas and stay in flow. Still a lot more to build, but I'm happy with how it's evolving. 🚀 #buildinpublic

@sd0br · X

@sathishn · X

@lostsignal8_ · X

for writers. ✍️ It can be used for any direct/intent form of writing such poems and song lyrics. A beautiful place to organize, brainstorm, and store it all.🧬📖

@feifei_qiu · X

A place kids can create, share, learn and grow, starting with stories and soon a walkable book

zloy88 · HN

ValuePair – a friendship app that cares about values first

@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