Analysis updated 2026-06-24
Run an AI Studio export on your own machine for editing
Use as a small starter to wire your Gemini key into a TypeScript app
Fork it and swap in your own prompt to make a custom Gemini tool
| javlonbek1233/amali-ish-6 | 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-6 is a TypeScript project that was exported from Google AI Studio, the web tool Google offers for building small apps that talk to its Gemini AI models. The README is the default template AI Studio ships with new projects, so it does not describe what Amali-ish-6 itself actually does or who it is meant for. The README links back to the project's page on AI Studio. That page is the only place to see a live preview of the app and the prompts or configuration behind it, without opening the source files in this repository directly. To run the app on your own computer, the README lists Node.js as the only prerequisite. The steps are: run npm install so the project's dependencies are downloaded, then open a file called .env.local and put a Gemini API key into a value named GEMINI_API_KEY, then start the local development server with npm run dev. The Gemini API key is what gives the running app permission to call Google's Gemini service from your machine. The README says nothing about the app's features, look, deployment story, or licence. The name Amali-ish-6 and the matching one-word description give no extra hints. To work out what the project actually does, the AI Studio link in the README or the source code in this repository would have to be looked at directly.
TypeScript export from Google AI Studio that runs locally against Gemini. README is the default AI Studio template and does not say what the app does.
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.