# Winner Signal

- **Event:** [Gemini 4 Argon SF Hackathon](https://cerebralvalley.ai/e/gemini-4-argon-sf)
- **When:** Sun, Oct 25 at 9:00 AM – 10:00 PM (PDT)
- **Where:** San Francisco, CA
- **Team:** [Cheney Li](https://cerebralvalley.ai/u/chenyusu)
- **GitHub:** https://github.com/LEE-CHENYU/winner-signal
- **Demo video:** https://youtu.be/Ne0YG65_d30
- **Gallery:** https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery/93

Winner Signal connects AI-assisted work to evidence that its outputs function, get used, and create value—developing better signals for AI evaluation and training beyond benchmark pass rates.

Builders share a demo and public GitHub repository, optionally adding reviewed prompts and coding-agent session histories. Gemini 4 Argon reviews video claims alongside commit-pinned code and supplied traces, producing timestamped findings, source references, actor/action/outcome summaries, and follow-up tests. An evidence layer preserves the review inputs and checks their integrity.

Our own project demonstrates a curated backtrace from video claims to actual build decisions, failed tests, fixes, and commits. A live review of our uploaded demo, pinned code, and a curated session excerpt returned five video claims and six trace findings with a verified evidence seal. The backtrace displayed in the workspace is curated, not an automatically reconstructed full execution history.

A public demo gallery gives builders initial viewers. Optional owner-authorized YouTube data provides a separate video-response signal; it does not prove product value or agent capability. The research objective is to discover which real-world signals are useful for evaluating and improving the agents that built the artifacts. Training gains have not yet been demonstrated.

Live app: https://winner-signal.vercel.app
Built during this hackathon on a reused, pinned Apache-2.0 AERead evidence-sealing component.

## More from Gemini 4 Argon SF Hackathon

- [RoomForAll](https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery/90)
- [SKOAR Atlas](https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery/91)
- [Task Factory](https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery/92)
- [Team Akki](https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery/94)
- [NobleJoy](https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery/95)
- [Gaze](https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery/96)

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Markdown version of https://cerebralvalley.ai/e/gemini-4-argon-sf/hackathon/gallery/93. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt