Do you ever make your decisions based on a hunch? Now you can

Hunch.com helps users search for answers - but first, it performs a detailed search on the users themselves.

Launching on Monday after a year in development, Hunch aims to supply users with computer-generated advice on thousands of lifestyle and consumer questions: What kind of dog should I buy? What should I get dad for Father's Day? Which book by George Orwell would I like?

Most important, though, Hunch is not a search engine. Rather than scouring the open web for information, as Google, Microsoft's new Bing, and scores of others do, or collating written opinions, as Amazon.com does, Hunch computes answers by comparing what it knows about you to what it knows about people like you.

"Ultimately, what we're doing is providing a kind of shortcut through human expert systems," said Hunch founder Caterina Fake, who also started Flickr.com, the popular photo sharing site that was acquired by Yahoo in 2005.

By first inviting users to answer up to 1,500 questions about themselves - an addictive kind of personality test that involves everything from political orientation and relationship status to whether you believe in UFOs and keep your closet organised - Hunch looks to assemble a demographic profile whose depth could rival anything in the commercial universe.

The New York company also believes that users stand to benefit from this kind of large-scale data farming - not just from getting better answers, but discovering the many micro-demographics to which they belong.

Hunch also says it will not sell user data to marketers.

But this promise, written into the site's privacy policy, is not precisely a legal contract, said Siva Vaidhyanathan, a new media scholar at the University of Virginia, and the difference leaves the data it collects in a fuzzy domain.

"Without any strong consumer-protection laws with respect to privacy," he said, problems can arise in unforeseen situations, such as what happens to your data "if a company you can't trust buys a company you can trust."

Hunch says if the terms of its privacy policy change substantially, it will notify users. The site also gives users substantial control over the data they share, including the ability to delete or modify any or all of it whenever they like.

Companies that steward large amounts of consumer information must survive on their reputations, said Ari Schwartz of the Center for Democracy and Technology.

"Privacy is a part of trust," he said, adding that users are getting better at identifying which sites are trustworthy. "If they do burn their users on privacy, it's going to hurt them."

Fake agrees, noting that the user-first values she built into Flickr helped the site to succeed in becoming a global community of photography lovers. "The most important thing you can do with users is be honest and trustworthy - and don't use the data in any way they wouldn't want."

After Hunch has boiled you down into a nicely organised set of preference data, it's your turn to make a specific request. Say you're interested in finding the perfect kind of dog for you: The site then asks you a series of five to ten specific questions to narrow your hypothetical dog by size, temperament, price and so forth.

The result of all that work is the set of dogs that Hunch thinks fit your preferences, purse and personality. Then you'll know if you're destined to own a Border Collie, a Vizsla or a plain old mutt.