@abhishekbariyaa · X

@lynkxapp · X

@11bhagwat · X

u/gnrlnoob22 · Reddit

Looking for honest feedback what2do.me is an activity finder tool to find things to do near you, based on your preferences. To be honest, its 100% vibe coded. Brutally honest feedback (positive or negative) is welcomed submitted by /u/gnrlnoob22 to r/SideProject [link] [comments]

@Munyah_Wacho · X

Hie guys, I'm just here to announce that I built a ticket listing (selling) platform and now I'm officially launching it. It's basic, very useful, reliable and secure. You can browse it here: Listing your Events is FREE! We retain %10 of every ticket

@HossainArif85 · X

Building — a platform for paid events where organizers manage registrations, approve payment proofs, send QR tickets, and check attendees with any phone browser. Happy to connect with fellow builders!

@vaultmeet · X

u/dodqy · Reddit

Trading Practice Platform I’ve always found it difficult to get meaningful practice outside of market hours, so I built a browser-based replay platform to solve that problem. You choose a stock or ETF, time of day, and up to three indicators, and it randomly loads a historical trading session from the past six months. The goal is to practice taking trades as if they were happening live. It includes: Basic and advanced TP/SL management AI trade reviews with a performance score after each

@Puneet626 · X

hi, let's connect, i'm building

@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

@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

@Dev_code_04 · X