# Rewild Earth

- **Event:** [Claude Build Day](https://cerebralvalley.ai/e/claude-startups-build-day)
- **When:** Sat, Jun 13 at 9:00 AM – 10:00 PM (PDT)
- **Where:** San Francisco, CA
- **Placement:** Finalist
- **Team:** [Jade Tseng](https://cerebralvalley.ai/u/jadeyutao)
- **GitHub:** https://github.com/jade-tseng/buildday
- **Website:** https://rewild-earth.vercel.app/
- **Demo video:** https://www.loom.com/share/ccf8ad8266d245e8be1ad97f78ccdcc4
- **Gallery:** https://cerebralvalley.ai/e/claude-startups-build-day/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/claude-startups-build-day/hackathon/gallery/77

Imagine a planet you can talk to.

Rewilding Earth is a "search the Earth" tool. You ask in plain language: "where can I find kelp forests like Monterey Bay?" and it returns ecologically similar places anywhere on the planet, using satellite imagery. The engine runs nearest-neighbor retrieval over AlphaEarth satellite embeddings (Google DeepMind's 64-dimensional fingerprint of every 10-meter pixel of Earth). The problem: those embeddings are the richest model of Earth we have, but querying them today means writing heavy geospatial GIS code (there's no natural-language layer, not even a SQL) so only a handful of specialists can use them. We build that missing layer, turning a planetary-scale dataset into something anyone can ask a question of, with verification so the answers are trustworthy rather than just plausible.

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Markdown version of https://cerebralvalley.ai/e/claude-startups-build-day/hackathon/gallery/77. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt