The real estate industry has a valuation problem. Traditional appraisals cost $300-500, take 2-3 weeks, and still rely heavily on subjective human judgment. Meanwhile, investors need to analyze dozens of deals daily to find the few worth pursuing.
We built something better.
The Problem with Traditional Appraisals
Every real estate investor knows the pain:
Traditional appraisals were designed for a different era—one where deals moved slowly and data was scarce. Today, we have access to more property data than ever before, but the valuation process hasn't caught up.
Enter AI-Powered Valuation
Our valuation engine processes a property in under 200 milliseconds. Here's what happens in that time:
1. Data Ingestion - We pull from 12+ data sources including Zillow, Redfin, Rentcast, and county records
2. Comparable Analysis - Our algorithm identifies true comps based on 47 property attributes, not just beds/baths/sqft
3. Market Adjustment - We factor in neighborhood trends, days on market, and seasonal patterns
4. Condition Estimation - Using repair cost databases and historical renovation data
5. Confidence Scoring - Every estimate comes with a confidence interval
The Technology Stack
We built this on Cloudflare Workers for edge computing—your request hits the nearest data center, not a server farm in Virginia. Combined with D1 for our comp database and KV for caching, we achieve consistent sub-200ms response times globally.
const valuation = await calculateOffer({
arv: 350000,
condition: 'fair',
market: 'stable',
sqft: 1850
});
// Returns in ~150ms
// { offer: 245000, confidence: 0.94, roi: 28.5 }
Why We Open-Sourced It
Here's the controversial part: we published our entire valuation methodology as an npm package. Anyone can install it, inspect the code, and use it in their own projects.
Why would we give away our secret sauce?
Because transparency builds trust. In an industry plagued by bait-and-switch offers and predatory practices, we believe sellers deserve to know exactly how we calculate our offers. When a seller can see the same data we're using, the conversation shifts from "trust me" to "let me show you."Real Results
Since launching in July 2024:
What's Next
We're expanding the engine to include:
The future of real estate valuation isn't human vs. machine—it's humans augmented by machines, making faster and better decisions with data that was always there but impossible to process manually.
Want to see it in action? Try our live demo or install the npm package and build something yourself.