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AimForge Training Lab is an aim trainer built with Three.js - flick, switching, and tracking with configurable crosshair, sensitivity, and targets.

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AimForge Training Lab

AimForge is a web aim trainer designed to improve precision and reaction speed for competitive FPS games like Valorant, CS2, Apex Legends, Rust & more. No downloads/setups required unless you wish to contribute to the project as a developer, just play and practice.

CLICK ME TO PLAY

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Current Features

  • Snap Tiles: Single target respawns instantly (flick + first-shot precision)
  • Wall Cluster: Multi-target switching with 6 simultaneous targets
  • Strafe Trail: Moving target tracking (passive or mouse hold-fire modes)

I am open to implement more features as long as you can give me a video example or a well written PR with the request :)

Controls

  • Esc: Return to menu (during a session)
  • P: Pause/resume
  • F: Fullscreen toggle

Note for Devs: there is a hidden No Clip feature for debugging/testing purposes if you wish to contribute

Requirements

  • Modern web browser with WebGL support
  • Mouse (duuh)

Run Locally

AS A NORMAL USER, IGNORE THIS PART, THIS IS INTENDED FOR DEVELOPERS

Start a local web server in the project directory:

python -m http.server 1337

Then open http://localhost:1337 in your browser.

Notes

Internet connection is required by default because three is loaded from a CDN in index.html. If you want fully offline use, replace the import map entries with local files.

Credits

Built with Three.js

About

AimForge Training Lab is an aim trainer built with Three.js - flick, switching, and tracking with configurable crosshair, sensitivity, and targets.

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