
Revenue Search: Inside Bittensor Subnet Session with Seby Rubino from RESI: Subnet 46
47 snips
Oct 22, 2025 Seby Rubino, the founder of RESI, is on a mission to revolutionize real estate data with an oracle that unlocks on-chain intelligence for lenders and DeFi. He shares insights from their new white paper and discusses the transition from APIs to scraping in their V2 architecture. Seby explains V3’s layered approach to data processing, and how public dashboards will enhance user experience. With innovative revenue strategies like Predict CASA data packs and a focus on scalable sales, RESI is poised to reshape the real estate landscape.
AI Snips
Chapters
Transcript
Episode notes
Subnet Becomes Prompt-Driven Service
- Resi evolved from a data lake into a three-layer service: data, inference, and storage to answer complex prompts like "price this home from its inspection."
- Validators parse requests across layers so the subnet acts as a prompt-driven pipeline rather than a single-purpose system.
Forked Subnet 13, Then Switched To Scraping
- Resi forked Subnet 13 at launch to start as a real-estate data lake and then switched from API to scraping in V2 to cut validator costs.
- The team sees subnets as processes that can expand beyond a single task as emissions and infrastructure scale.
Go-To-Market With White-Label IDX Portals
- Use IDX-style white-label portals to distribute the product virally through brokerages and agents.
- Offer the tool free to brokerages to drive agent adoption and create a watermark-driven growth loop.
