Hunch Exports Taste Graph Via API, Business Model Emerges

Michael Arrington

J. Michael Arrington (born March 13, 1970 in Huntington Beach, California) is a serial entrepreneur and the founder of TechCrunch, a blog covering startups and technology news. Arrington attended Claremont McKenna College (BA Economics, 1992) and Stanford Law School (JD, 1995) and practiced as a corporate and securities lawyer at two law firms: O’Melveny & Myers and Wilson Sonsini Goodrich... → Learn More

Wednesday, September 15th, 2010

Recommendation engine Hunch is rolling out partnerships with seven large sites to provide personalized recommendations for their products, services, or content. Interactive Corp’s Gifts.com, Bluefly, Buzzfeed, Heyzap, ShopStyle, Milo and FanBridge are the initial partners, and Hunch says more will be announced shortly.

“These companies will either build applications that reside on Hunch.com, embed Hunch functionality within their own sites, or both,” says Hunch.

The partners will us a rebuilt-from-the-ground-up API to show personalized recommendations to users, says Hunch CEO Chris Dixon. The Hunch website itself is built using the same API that is being made for partners.

This also gives Hunch a potentially lucrative revenue model. There will be a free version of the recommendation engine that most partners will use, But ecommerce sites will share revenue generated from purchases recommended by Hunch.

“Our whole business is centered around the API,” says Dixon.

Dixon says that the company spent the first year or so after launching in learning mode, building out the data and finding connections. Now they have enough data, and 20 billion “connections” to be confident in making recommendations to people on just about anything at all. Cofounder Caterina Fake made similar statements when I interviewed her earlier this year.

Company: Hunch
Website: hunch.com
Launch Date: September 2007
Funding: $19.2M

Hunch is a consumer web application that is building the “taste graph” of the internet, mapping every person on the internet to every entity on the internet and their affinity for that entity. An entity could be a web site, a cookbook, a hotel room, a celebrity, a restaurant, etc. Hunch creates a taste profile by asking them a series of questions which range from serious to profound and subsequently can make recommendations personalized to that user, which live in...

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