@clawncore · X

u/dooolittle · Reddit

I spent the last months building a role assessment for tech waves — just for fun, now it's real The idea: every hype cycle (Linux, crypto, AI) produces the same 27 roles — builders, educators, curators, capital providers, connectors. Most people pick theirs by identity („I'm a coder, so — developer") instead of fit, and it costs them the cycle. So I built an assessment that measures fit: 77 behavioral questions across 5 dimensions, scored against all 27 roles, with the scoring

@EkanshRajput16 · X

@Sadathn_ · X

@SiteWarming · X

You can try SiteWarming for free! Go ahead and give it a shot🔥

Voyagard — AI 学术论文编辑器，有 AI 编辑，一键查重降重，AI推荐文献索引等功能， 帮助你完成从选题调研，文献索引并管理， AI协助撰写等功能，帮助你轻松完成论文撰写

@JoydeepNath007 · X

@iamayuv · X

there’s an AI that roasts your résumé and one roaster is a Disappointed Parent 😭 “Sharma-ji’s son put numbers on his résumé. you have ‘passionate about excellence’” free →

@MUKULSINGH5906 · X

🚀 Just shipped Apna Interview! An AI-powered platform for: 📄 Resume Analysis + ATS Score 🎯 Job Matching 💬 AI Interview Prep & Feedback 🔗 💻 #BuildInPublic #AI #NextJS #FullStack

u/HungryShake2902 · Reddit

I built the tool I wish I had after years of learning languages, a side project, not another AI tool Hi everyone. I'm 33, originally from Latin America, and I've been living in Europe for almost 10 years. I work full-time in tech sales for an HR company, and programming has never actually been my job, it's just something I've enjoyed for years. I guess I've always been the kind of person who, whenever I run into a problem, starts looking for a solution. What I've noticed is that I don't immed

@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

@OauthNature · X

Ai cv tailoring job board