🎯 Our Mission

We believe everyone deserves access to transparent property valuation information, regardless of where they are in the world. Our goal is to democratize real estate data and help people make informed decisions about property investments.

Whether you're a first-time homebuyer, seasoned investor, or just curious about global property markets, we're here to provide clarity and confidence in your journey.

⚙️ How It Works

Our prediction model uses a combination of statistical analysis and machine learning techniques trained on housing data from multiple international markets.

Key Features We Analyze:

  • Location: Country, city, and regional market conditions
  • Property Size: Living area in square feet
  • Bedrooms & Bathrooms: Room count and configuration
  • Property Age: Years since construction
  • Amenities: Garage, pool, and other features
  • Local Economics: Income levels and market trends

📊 Data Sources

We aggregate data from multiple publicly available sources including government statistics, real estate listings, and economic indicators from around the world.

🏛️ Government Statistics

Census data and housing surveys from national statistics offices

🏘️ Market Listings

Aggregated property listing data from various markets

💹 Economic Indicators

Income, employment, and cost of living data

⚠️ Limitations

While we strive for accuracy, please note that our predictions are estimates based on available data. Actual property values can vary based on many factors including:

  • Specific neighborhood characteristics
  • Property condition and recent renovations
  • Current market conditions and trends
  • Unique property features not captured in our model

We recommend using our predictions as a starting point for research, not as a substitute for professional appraisal.

🌍 Global Coverage

We currently cover 20 countries and 95+ cities across:

  • North America: United States, Canada, Mexico
  • Europe: UK, Germany, France, Spain, Italy, Netherlands, Sweden, Switzerland
  • Asia Pacific: Japan, Singapore, Australia, China, South Korea, India, Thailand
  • Middle East & South America: UAE, Brazil

💻 Open Source

This project is open source. You can find the code on GitHub and contribute to improving our models and expanding our coverage.

View on GitHub