@janmendrez · X

proud with this one, all vibe coded and schools are actually using it

@g8zxtrp9p6 · X

🚀 Just launched CampusVerify No more begging for survey responses. Reach real verified students on campus, get genuine answers fast, and earn credits by participating. Sign up & get free credits → @Lovable @supabase #Lovable #StudentsMatter

@itsarvinddev · X

@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

@KatiyarSaiyam · X

just shipped my first full-stack app 🏠 properties, tenants, rent tracking & maintenance logs, all in one place. UI is still a work in progress — actively making it better. would love honest reviews & UI suggestions! 🔗 #buildinpublic #webdev #reactjs

@TechPriest_001 · X

@dipanshurdev · X

Review my side projects:

learnerfast · Product Hunt

LearnerFast AI Course Creator & Website Builder for Educators

u/Ser_Duncen4126 · Reddit

Made a side project to organise the study material in college by creating study groups I've been working on a side project called StudyHubAI. The idea came from how difficult it can be to manage notes, assignments, and study material spread across different places. The app lets students upload PDFs and notes, ask questions based on their own study material, and get AI-generated summaries and answers. It also has study groups where students can share resources and discuss topics together.

@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

@sykatt01 · X

Let's connect. 🧗 Hike at:

@shuvo_xyz · X