@GurkaPraveen1 · X

An app helps by tracking ur performance Helps students to track results of particular subject Check out what I just built with Lovable!

u/Due_Load6189 · Reddit

I built a study battle app and need honest feedback Hey everyone, I’m a student building StudyClash, an app that turns practice questions into competitive study battles. You can try a deck, answer questions, get a score, see what topics you’re weak in, and use an AI coach to understand mistakes. I’m not trying to sell anything right now — I just need honest feedback before I show it to more people. Main things I want feedback on: Is the app easy to understand? Does anything look b

@ritikk_kushwaha · X

Check out what I just built with Lovable!

璞奇 — 将书本、B 站、得到等学习内容生成练习，帮助掌握新知，支持 App、Chrome 插件和 Agent Skill - [更多介绍](https://mp.weixin.qq.com/s/HRRpKg2oAt_toZNTpY-foA)

@vrajshroff · X

Personalized learning for students

@8876sahil · X

If you tired of random DSA videos and unstructured placement prep. You can try trackMe a free placement tracker. Practice DSA pattern-wise, prepare topic-wise, and learn with ChatGPT. Feedback welcome. Share if useful

u/Choice_Professor7863 · Reddit

I built an AI tutor you point at paper — snap a photo of any handwritten problem and it tutors you Socratically (100% client-side, no backend) Built this for a hackathon challenge and figured this sub might find the approach interesting. **The idea:** you point your camera at anything — a handwritten equation, a textbook page, a circuit diagram, messy notes — and it becomes an interactive tutoring session. **What surprised me most:** I expected to need an OCR pipeline (Tesseract or simila

@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

@he_isjj · X

@Bongoscown · X

Check out what I just built with Lovable!

@bellyencours · X

@qurative · X

vibe coded a landing page for seo and shit, will fix it later focusing on adding features to the dasboard