Hunch is a questions and answers service that offers solutions to user-entered problems. Hunch's answers are based on the collective knowledge of the entire Hunch community. Hunch is designed so that every time it's used, it learns something new.
Hunch allows access to its data and embeddable content through an API. Developers can make use of this API in many ways, such as: putting an embeddable version of a Hunch topic on your web site; porting Hunch to a mobile device or other platform such as SMS, Twitter, IVR etc; querying our "taste database" for correlations, predictive variables, and more.
While Google leads the way in web search and Yahoo leads the way in answers, many upstart services are attempting to help you make decisions by giving you smarter answers to your questions. Microsoft has billed its new search offering Bing as both a "decision engine" and an "answer engine." Now there's Hunch, a new start-up founded by Flickr's Caterina Fake, which also aims to be a decision engine, but using a very different model. By first asking the user questions ranging from food preferences to pet peeves, Hunch tries to provide answers to questions that best match the user's interests based on crowdsourced data collected from other users.