In the news

  • The Next Big Thing in Location: Recommended Places

    "Hunch.com has its eye on providing location recommendations through a feature called Hunch Local... Hunch’s secret sauce, meanwhile, is its ability to guess what locations you might be interested in, based on what it knows about you."

  • Hunch Now Helps You Discover What's Best in Your Area

    "Hunch, a collective intelligence app that delivers personalized — and, as many users have found, highly accurate — recommendations, has launched an alpha version of its new Local Search feature. I was initially impressed to see that the app lists a good number of my favorite restaurants and wine bars near Mashable’s New York headquarters on the first results page, along with several that look like promising matches for future exploration."

  • Recommendation site Hunch, launching local features

    "Hunch is currently testing local recommendations on a map with a sidebar showing restaurants, nightlife, hotels, spas, museums, grocery stores and more. A neat feature for anyone looking to discover places in their city that match their personality profile as determined by Hunch, and something one could definitely use in Dallas, or any other city."

  • Hunch Tries Local Recommendations

    "Hunch is testing out local recommendations on a map with a sidebar showing restaurants, nightlife, hotels, spas, clothing stores, and more....Hunch Local is something I will definitely go back to try out when I need to find a new place for lunch."

  • Caterina Fake's Hunch Is Now a Personal Recommendation Service

    "Hunch has adjusted its web service so that it's now more clearly defined as a recommendation service. ...At its core is a matching algorithm that measures how much your Hunch profile matches up to similar people who use the service, borne of thinking by its founders that machine learning 'could be used to guide practical, smart, and highly customized recommendations.'"

  • A new Hunch points to the money with behavioral targeting

    "Hunch’s personalization engine appears to be on target; after connecting through Twitter (Facebook is available as well) and answering 20 simple questions, I was provided recommendations for magazines, TV shows, and new books."

  • What You Want: Flickr Creator Spins Addictive New Web Service

    "With Hunch, Fake is back, using her social skills to tackle one of the most vexing problems in computer science: online recommendations. [Hunch's solution] is a quietly radical premise, implying that our tastes are defined not only by what we buy or what we’ve liked in the past but by who we are as people. It is assembling an extraordinarily rich and detailed picture of each user's taste."

  • If You Like Moustaches on Men - You'll Love These Restaurants

    "Taste-gathering startup Hunch is experimenting with a recommendation service that cross references social graph connections on other services with the large set of unusual questions its users have answered."

  • How Visa Predicts Divorce

    "Hunch looks for statistical correlations between the information that its users provide, revealing fascinating links between people’s seemingly unrelated preferences. Through machine learning, the Hunch algorithm is developing a sense of what individuals with a certain taste profile will prefer—a sense that is being improved with each new user of the Web site."

  • Hunch homes in on who you are

    "It took 39 questions for the Hunch Twitter Predictor to make a wrong guess about me. The Twitter Predictor is meant to show off how Hunch can be legitimately useful--especially as the site prepares to launch an application program interface (API) that will bring its algorithm's know-how to third-party sites."

  • Hunch’s Twitter Predictor Game Is Awesomely Accurate

    "When I first read about Hunch’s Twitter Predictor game, I was pretty skeptical. The game asks you to put in your Twitter user name and based on who you follow and who you are followed by, it predicts how you will answer questions on Hunch. Then I used it. It’s pretty awesome."

  • The 20 Hot New York City Startups You Need To Watch

    "Hunch is a recommendations service premised on the idea that traditional recommendation algorithms focus on data sets that are far too narrow. Hunch asks you questions on just about any topic you can think of, and uses all the data it has to make its recommendations in any particular sphere. "

  • "Hunches" about dogs and their people

    "Hunch's lengthy and engaging [Dog Breeds] report defined certain personality traits and characteristics (ok, quirks) of humans who identify with 44 popular types of purebred dogs. Pit Bull Terrier fans find Mario Lopez attractive, Australian Shepherd fans enjoy Jeopardy, and Bullmastiff fans would be Tasered 'just to see how it feels.'"

  • New York Isn't Silicon Valley. That's Why They Like It.

    "Chris Dixon and Caterina Fake are involved in multiple tech ventures, like Hunch, which helps people make decisions, like what kind of digital camera to buy or what kinds of dishes to make with Thanksgiving leftovers. They've placed themselves as close as possible to the center of the New York tech reboot."

  • Video Interview with Caterina Fake and Chris Dixon

    "Kara Swisher interviews two of the co-founders of Hunch, an online decision-making start-up that uses algorithms and also user-generated questions and answers."

  • The World's Most Intriguing Startups

    "Hunch [is] a Web site that uses the experiences of others to help people make decisions. ... Type in "What magazine should I subscribe to?" for example, and Hunch will provide answers by matching responses from users with similar preferences."

Press resources