Credits & Acknowledgments

Homecastr stands on the foundation of collaboration. We're grateful for the support and partnership of the organizations and individuals who have made this work possible.

Partners & Supporters

Community

South Park Commons

Our primary community affiliation. SPC provides access to an extensive network of partnerships including Google, AWS, OpenAI, Anthropic, Modal, Vercel, Supabase, and 15+ other platforms, enabling us to build on world-class infrastructure.

Recognition

Startup Grid

Startup Grid

Startup Grid accelerates the growth and impact of entrepreneurs and startups through community, education, and resources. Their support and recognition have been instrumental in validating Homecastr's mission to make probabilistic forecasting accessible to the residential real estate community.

Cloud Credits & AI Partnerships

Google Cloud for Startups

$200K in GCP credits and infrastructure support.

AWS Activate

AWS startup credits and technical support for scaling our infrastructure.

OpenAI Startup Credits

$30,000 in credits enabling AI model development and API integration.

Anthropic

Claude API credits for language model integration and AI features.

Modal

GPU and cloud compute credits for machine learning model training and inference.

Vercel for Startups

$1,000/month in hosting credits and edge computing platform.

Core Infrastructure

Supabase

PostgreSQL database, real-time APIs, and edge functions powering our backend.

Cloudflare

CDN, edge workers, and security infrastructure.

GitHub

Version control, CI/CD, and collaborative development platform.

Academic Support

Columbia University

Grant support for research and development.

Open Source & Data Sources

Data Sources

  • US Census Bureau (ACS, Decennial Census)
  • County and municipal assessor records
  • Zillow, Redfin, and other real estate platforms
  • OpenStreetMap and geospatial datasets

Technology Stack

Built with open source tools including Python, PostgreSQL, Apache Arrow, GDAL, and modern web technologies.

View technology documentation →

Academic & Research Foundation

Homecastr's methodology is informed by research in probabilistic forecasting, geospatial machine learning, and applied housing market analysis. We're grateful for the foundational work by researchers in these fields.

For more on our research foundation and methodology, see the methodology page.

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