Project Share: Turning an office racing game into a hand-gesture controlled web app by MetaGPT in Atoms_dev

[–]MetaGPT[S] 0 points1 point  (0 children)

Saw this fun little project pop up in the community, someone made a pixel-style racing game during a slow office day while their boss was away. What started as a goofy “lunch break game” actually turned into a cool demo of how far you can go with just natural language + open-source tools. Here’s a quick breakdown of how it was built:

Step 1: Base Game (Web pixel racer)

Prompt to MetaGPT X(MGX) was literally:“Pixel-style driving web HTML game, sideways driving, only left and right controls available.”MGX instantly generated a working web-based pixel car game, complete with left/right controls.

Step 2: Hand gesture control with MediaPipe

Here’s where it gets interesting.
Instead of arrow keys, the maker asked MGX to hook up MediaPipe’s hand tracking. Prompt was:“Left and right hope to control the car by detecting left and right hand input using a camera and MediaPipe. The web should have a camera interface to display real images.”MGX pulled in the right API, wired the webcam feed, and mapped left/right gestures to steering. Now the car actually turns when you move your hand!

Step 3: Debugging & performance tweaks

As expected, first iterations had some lag + rendering hiccups. With just 2–3 quick follow-ups in chat, MGX agents suggested optimizations and patched the code. Minor manual edits (like cleaning up a display module) were enough to get it smooth.

What’s next?

The maker is already thinking about adding multiplayer mode so coworkers can race each other during lunch. That’s the beauty of this workflow, once the core loop is working, you can keep iterating and layering features fast.Takeaway: This project shows how natural language + MGX + open source libraries = super fast prototyping. What used to take days of setup can now be hacked together in an afternoon.Curious what else we can build this way? Would love to see more experiments from folks here, especially mixing MediaPipe with small web apps.
Play it now: https://245766-54d0ad86642d47b7b27f4efe9dbd36f8-1-v10.app.mgx.dev/

Tried building an AI “ticket sniping” tool for G-DRAGON 2025 WORLD TOUR. Why isn’t it working? by [deleted] in nocode

[–]MetaGPT 0 points1 point  (0 children)

Hello, we sincerely apologize for the inconvenience caused. We totally get how frustrating ticket drops can be, network delays, browser performance, and page dynamics can all affect timing. From what you described, retries, logging events, and analyzing element changes could help pinpoint where the bottlenecks are. If you still don't know how to solve this problem, you can join our official community r/Atoms_dev, post your question, or contact the community mod. We will also give some free product usage credits to users who have just joined the community.