Attribution & Technical Foundation

Subnet 46 (RESI) is built upon the proven architecture of Subnet 13: Data Universe by Macrocosmos.com.

We extend our sincere gratitude to the Macrocosmos team, particularly Arrmlet and ewekazoo, for creating the robust, scalable data collection and validation framework that serves as our foundation. Their pioneering work on decentralized data collection, consensus mechanisms, and anti-gaming protections has enabled us to focus on real estate specialization rather than rebuilding core infrastructure.

Three-Repository Architecture

Our implementation consists of three specialized repositories:

resi
- Core miner and validator logic adapted for real estate data
- Property-specific validation mechanisms
- Real estate market-focused incentive structures
resi-labs-api
- S3 authentication server for miners and validators
- AWS access token distribution system
- API endpoints for data access and validation
prospector
- JSON-based incentive weighting system (Real Estate Dynamic Desirability)
- Geographic prioritization with 7,572+ US zipcode coverage
- Zipcode-based market prioritization weighted by market size and value

Key adaptations for real estate:

Specialized data sources (Zillow, county assessors, MLS feeds, public records)
Geographic incentive weighting through Prospector system
Property-specific validation mechanisms
Zipcode-based market prioritization for maximum market impact

The Problem: Price Barriers, Data Fragmentation, and Restrictive Terms Lock Out Innovation

Real estate data is the lifeblood of a $45 trillion industry, yet it's trapped behind three critical barriers:

1. Prohibitive Pricing: Base-level access to comprehensive real estate databases come with unjustifiable costs to the tune of $250K+ per year per customer.

2. Data Fragmentation: Critical property information is scattered across thousands of county assessors, MLS systems, and tens of proprietary databases, requiring separate expensive contracts for each source.

3. Restrictive Terms: Data providers use licensing terms that prevent AI companies like ChatGPT, Claude, and Grok from training on this data, protecting monopolistic moats while stifling innovation.

The result? Small businesses, researchers, and developers are completely priced out, while even well-funded AI companies can't access the data needed to build transformative real estate intelligence applications.

Our Solution: Open Source, Real-Time, Decentralized Intelligence

RESI creates the first open, real-time, national real estate database powered by decentralized intelligence.

The Thesis: By creating an ecosystem that continuously learns from miner scraping, user data inputs, and behavior, products on RESI will ultimately build collective real estate super intelligence that drastically outperforms all closed systems.

We're opening Pandora's box on real estate data by enabling miners to collect from any accessible source - Zillow, county assessors, thousands of public records, and even consumer behavior - then making it accessible through modern APIs with field-level confidence tracking and temporal decay algorithms.

This creates a real-time national database that serves as the foundational infrastructure for highly profitable and scalable real estate solutions across all sectors. Unlike corporate data silos that price out innovation, our decentralized approach enables AI applications impossible for any single company to build.

The Vision: Start with 150M+ properties in the USA, then scale globally to create the world's most comprehensive open real estate intelligence network that powers the next generation of PropTech innovation.