29-cu/ruota-della-fortuna — explained in plain English
Analysis updated 2026-05-18
Get a random writing prompt tag combination by spinning the wheels in a browser.
Host the randomizer on GitHub Pages to share a link with others.
Run a local server so an AI assistant can call the spin function directly.
Add custom tags saved to the browser for repeated personal use.
| 29-cu/ruota-della-fortuna | githubzkln/agent-java-interview | thiago-code-lab/aws-certified-ai-practitioner-brasil | |
|---|---|---|---|
| Stars | 49 | 49 | 49 |
| Language | HTML | HTML | HTML |
| Setup difficulty | easy | easy | easy |
| Complexity | 2/5 | 1/5 | 1/5 |
| Audience | general | developer | general |
Figures from each repo's GitHub metadata at analysis time.
Opening the HTML file works standalone, the Node server and MCP integration are optional extras.
Ruota della Fortuna is a browser-based NSFW tag randomizer styled to look like a vintage slot machine. It has seven category wheels: body position, scene, props, role or relationship setup, physical actions, psychological elements, and an optional gore category that is locked off by default. The tag pool contains over 450 entries drawn from sites including AO3, Pixiv, and DLsite, with tags written in Chinese, English, and Japanese. Opening the HTML file in a browser is all that is needed to use it. Custom tags can be added and are saved in the browser's local storage. For users who want to share a link, the project can be deployed to GitHub Pages without any server setup. For AI integration, a self-hosted option is available: running it with Node starts a local server on port 3000 with a small API. The spin endpoint accepts a list of active wheels and returns a randomized result. A separate endpoint lets you add custom tags, and another lists all available dimensions and their tag counts. The project also includes an MCP server script that exposes two tools: one to spin the machine and return a result, and one to list all dimensions and tag counts. This lets AI assistants call the randomizer directly from their tool configuration. The project is licensed under MIT.
A browser-based slot machine style randomizer for adult content writing tags, with an optional AI tool integration.
Mainly HTML. The stack also includes HTML, JavaScript, Node.js.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.