# SnapLock

- **Event:** [Gemini 3 Hackathon SF](https://cerebralvalley.ai/e/gemini-3-hack-sf)
- **When:** Sat, Dec 6 at 9:00 AM – 10:00 PM (PST)
- **Where:** 365 Toni Stone Xing, San Francisco, CA
- **Team:** [Gretchen Boria](https://cerebralvalley.ai/u/greymoon), [Jorge Jimenez](https://cerebralvalley.ai/u/jorgeajimenez), [Shaun Beach](https://cerebralvalley.ai/u/shaunbeach)
- **GitHub:** https://github.com/jorgeajimenez/lazarus
- **Demo video:** https://youtu.be/YGHOsCaJASc
- **Gallery:** https://cerebralvalley.ai/e/gemini-3-hack-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/gemini-3-hack-sf/hackathon/gallery/50

SnapLock is a physics-native generative design tool. We use a WebGPU physics engine (Taichi) to constrain AI imagery, ensuring objects obey "Ground Truth" laws like gravity and collision. Uniquely, SnapLock features a "Self-Healing" Engine: if the simulation crashes, our built-in debugger sends the error to the backend where Gemini 3 Pro triages, diagnoses, and auto-patches the code in real-time. We use Banana.dev for serverless GPU inference (ControlNet) and Gemini Nano for local latency optimization, creating a seamless loop between physics, code, and pixels.

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