@auditormusic19 · X

Building iGrow, an AI roleplay app to practice high stakes conversations before they happen. Check it here:

@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

@shuvo_xyz · X

@DionJerry · X

Promoting We already have over 800 Signups!

new_user___1852026ab8b0f05013e6851 · Product Hunt

Adaptive AI Free AI-powered personalized learning platform

晨笙阅读 — 书籍解读平台，AI 辅助+人工校审，提炼经典书籍的核心问题、论证框架与实践洞见，支持分类浏览、全文搜索和主题阅读

u/safi1409 · Reddit

I built a learning path builder tool powered by AI — maps your knowledge gaps and builds a focused learning path Hey everyone, sharing a side project I've been working on. The problem: When you're self-learning a technical field, you don't know what you don't know. Most people either follow a generic roadmap or keep consuming content without a clear picture of their actual gaps. I personally have completed multiple courses which reiterate the same thing because I was not sure if I had act

@SwiftLab99713 · X

Fury — turns 1 video into a week of content (TikTok, X, IG, YouTube shorts) in 2 minutes. Built it because I was burning 3 hours a week doing this manually. [

@mkappworks · X

I am building lets connect

@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

News In Simple — 基于 AI 的英语学习新闻网站，提供初、中、高三级分级新闻及配套阅读、听力、词汇和测验素材