# Danyar Group

- **Event:** [Built with Opus 4.7: a Claude Code hackathon](https://cerebralvalley.ai/e/built-with-4-7-hackathon)
- **When:** Apr 21 at 12:00 PM – Apr 27 at 2:00 AM (EDT)
- **Where:** Online
- **Team:** [Danyar Othman Azeez](https://cerebralvalley.ai/u/Danyar82)
- **GitHub:** https://github.com/danyar82/Genesis_Hackathon
- **Demo video:** https://youtu.be/EzUpqeKsKHQ
- **Gallery:** https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery/193

GENESIS transforms academic research papers into interactive, runnable prototypes in under 60 seconds. The problem: researchers publish thousands of papers weekly, but almost none include working code. Understanding a paper means manually decoding equations and rewriting algorithms from scratch — a process that takes days or weeks.

GENESIS solves this with a single URL input. Users paste an arXiv link, and Claude Opus 4.7 extracts the paper's "Paper DNA" — title, classification, core equations, tunable parameters, and optimal visualization type. Then a second-stage high-effort prompt generates the actual algorithm as pure JavaScript. The code runs instantly in a sandboxed Sandpack executor with interactive parameter sliders that update the visualization in real-time.

We also built an AuditWorker using Anthropic's Managed Agents that automatically verifies the paper's numerical claims against the generated code, plus a Debate mode where two Opus 4.7 instances evaluate code fidelity.

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Markdown version of https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery/193. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt
