Analysis updated 2026-06-24
Run the AI Studio export on your own machine for editing
Use as a barebones Gemini-powered TypeScript starter
Fork it and swap in your own prompt to make a small Gemini tool
| javlonbek1233/amali-ish-7 | javlonbek1233/-neonbite | javlonbek1233/-neonbite-1 | |
|---|---|---|---|
| Stars | 32 | 32 | 32 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | easy | easy | easy |
| Complexity | 1/5 | 1/5 | 2/5 |
| Audience | vibe coder | vibe coder | vibe coder |
Figures from each repo's GitHub metadata at analysis time.
Needs a Gemini API key in .env.local before npm run dev can call the model.
Amali-ish-7 is a TypeScript project that was exported from Google AI Studio, the browser tool that lets people prototype small applications powered by Google's Gemini AI models. The README is the default template that AI Studio adds to every export, so it does not describe what this specific app does. The repository name and the one word description are the only original content present. The README explains how to run the export locally. You need Node.js installed. Then you run npm install to fetch the packages, place your Gemini API key into a file called .env.local under the name GEMINI_API_KEY, and start the dev server with npm run dev. The README also links to the original AI Studio page so the app can be viewed there. There is no feature list, no screenshots described in text, no architecture explanation, and no usage instructions. The README is sparse.
TypeScript export from Google AI Studio with the default template README. Runs locally against the Gemini API once a key is set in .env.local.
Mainly TypeScript. The stack also includes TypeScript, Node, Gemini.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
Verify against the repo before relying on details.