@sykatt01 · X

Here it is: Definitely appreciating feedbacks

@lanford87746071 · X

上线了一个小工具：羊咩像素 WoollyPix 🐑 在线拼图 / 九宫格切图 / AI 智能分割 / 截图美化 全程本地处理，不上传图片，免费无广告

@shuvo_xyz · X

@fortsignal1 · X

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

@wGzKjDhsac93581 · X

Just launched my first side project 🚀 WASEVERIN Image Converter A lightweight browser-based image converter. ✓ No uploads ✓ No account required ✓ Privacy-friendly Convert JPG, PNG, WebP, HEIC and more. Building AI tools & digital products.

@shivanshsh1823 · X

you yoga a day - to - day workout routine for yoga

new_user___1852026ab8b0f05013e6851 · Product Hunt

Adaptive AI Free AI-powered personalized learning platform

u/hyperschlauer · Reddit

I built a free knowledge-graph game where every move follows a real Wikidata relationship I’m building Webwoven for OpenAI Build Week, and the beta is now live: https://www.webwoven.org It’s inspired by Wikipedia hopping: you start with one topic and try to reach a target in as few moves as possible. Every move follows a real relationship from a reviewed Wikidata graph. The game therefore shows why two topics are connected instead of treating ordinary page links as paths. Webwoven curr

@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

@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

@Yemyze1 · X

Check out what I just built with Lovable!