HouseCanary

Work at HouseCanary

Make better real estate decisions through data and predictive models

At HouseCanary, we’re using data and analytics to predict the future of real estate. Our goal is to help people make better real estate decisions by offering an unparalleled level of insight and transparency into the market. HouseCanary platforms forecast property values at a local level, and every month, we forecast 36 months into the future. Across all markets, our models explain more than 95% of the past variability in price.

What We're Building

HouseCanary is the authority for information covering residential properties in the US, analyzed and visualized to make better, faster decisions.

HouseCanary. See into the future of real estate.

PEOPLE. We’re communicative, collaborative and passionate. We’re excited to build world-class products that are changing the way real estate investment decisions are made. We’re fun, focused and appreciate the opportunity to be a part of something great.

PRODUCTS. We build mobile, web and API products for real estate investors, lenders, appraisers and realtors. We help make mission-critical decisions on risk, valuation, underwriting, portfolio optimization and more.

PLATFORM. Our platform combines the richest data in residential real estate, advanced machine learning, predictive analytics, and modern software technologies. We accurately pinpoint and forecast home values and market trends by aggregating millions of data elements, including more than 40 years of property data.

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Team

Jeff Gorelick
Engineering @HouseCanary.
tiffany yang
Experienced PM. Currently working at Tilt. Studied at MIT.
JP Ackerman
Deep background in real estate analytics & asset management. Oversaw $1.5B portfolio. Start-up savvy with experience bringing highly targeted products to market
Sam Bolgert
Software Engineer & Real Estate Entrepreneur • CTO at @Halolife • 2nd Engineer at @Lovely • Worked at @Chumby Industries
Paul Wehrley
COO at HouseCanary. Formerly CBS, TVGuide, TV.com, Clicker, Ask.com. M&A, BD, and GM experience. Went to Stanford University
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