I vibe coded a desktop app to view Indian stocks: https://github.com/brainless/Indistocks

This is built with Rust, egui and SQLite3. The app has a downloader for NSE India reports. These are the daily end of day stock prices. Out of the box the app is really fast, which is expected but still surprises me. I am going to work on improving the stocks chart. I also want to add an AI assisted stocks analyst. Since all the stocks data is on the SQLite3 DB, I should be able to express my stocks screening ideas as plain text and let an LLM generate the SQL and show me in my data grid.

It was really interesting to generate it within 3 days. I had just a few places where I had to copy from app (std) log and paste into my prompt. Most of the time just describing the features was enough. Rust compiler did most of the heavy lifting. I have used a mix of Claude Code and OpenCode (with either GLM 4.5 or Grok Code Fast 1).

I have been generating full-stack web apps. I built and launched https://github.com/brainless/letsorder (https://letsorder.app/). Building full-stack web apps is basically building 2 apps (at a minimum) so desktop apps are way better it seems.

In the long-term, I plan to build and help others generated apps. I am building a vibe coding platform (https://github.com/brainless/nocodo). I have a couple early stage founders I consult for who take my guidance to generate their products (web and mobile apps + backend).