Run the Scaner starter app locally to see how it is wired to Gemini
Use Scaner as a bare bones template for a new Gemini API project
Practice setting up Node.js dependencies and an API key for an AI Studio app
| javlonbek1233/scaner | 28998306/magicalcanvas | javlonbek1233/-pixelbattle | |
|---|---|---|---|
| Stars | 36 | 36 | 36 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | easy | moderate | — |
| Complexity | 1/5 | 3/5 | — |
| Audience | vibe coder | general | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires a Gemini API key placed in a local .env.local file.
Scaner is a small starter web application generated using Google's AI Studio, a tool for building AI powered apps quickly. The repository contains only the minimal scaffolding needed to run the project on a local machine. To get it working, a developer installs the Node.js dependencies, adds a Gemini API key, which is a credential for Google's Gemini AI service, to a local environment file, and then starts the development server with a single command. Beyond this setup routine, the README gives no further description of what the app actually does, what problem it solves, or what a user would see once it is running. The project's name, Scaner, is the only hint at its intended purpose, and there is no additional documentation, license information, or usage guide in the repository to expand on it.
A minimal AI Studio starter web app named 'Scaner' wired to Google's Gemini API, with no documented features beyond the default scaffold.
Mainly TypeScript. The stack also includes TypeScript, Node.js, Gemini API.
No license information is documented in the repository.
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.