@amir_mehrabi_ · X

: Personal Intelligence

@dipanshurdev · X

Review my side projects:

u/Gloomy_Silver_1700 · Reddit

Solo-built app just passed a bigger competitor on Google Play visibility score https://preview.redd.it/cmy3haru6veh1.png?width=1510&format=png&auto=webp&s=6c9f05bd5d22a012f123e4c4f6f26d1a7c85c5e3 Sharing this because it's a small win but it's mine. I'm the solo dev behind skillably, a study app where you upload your own notes or PDFs and it turns them into quizzes and flashcards, adapting based on what you actually get wrong. No team, no funding, built around a day job.

fahimulhaq · HN

Show HN: Fenzo AI – Interactive Micro-courses on any topic

@Caden1Fenn · X

Intel Brief — tracks what your competitors change (pricing, features, positioning) and delivers it to your inbox weekly. Built for indie SaaS founders.

u/Known_Second_1039 · Reddit

I built an AI college essay coach that refuses to write the essay (launching 19 days before Common App opens) Hey r/SideProject - I'm a student, and this is my first real product: Admit Pilot ( https://admitpilot.org ). The problem I couldn't stop thinking about: this application season, a huge number of college essays will be quietly ghostwritten by ChatGPT. Colleges are explicit that this violates their policies, readers are getting better at spotting the AI voice, and the students wh

@bellyencours · 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

@_dima853 · X

@abrar1chauhan · X

@vrajshroff · X

Personalized learning for students

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