Tipflare: Two MIT Seniors Build A One-Stop Shop For Recommendations On Anything

With so much information, content and so many services now living online, there's a lot of choice -- even for something as simple as where to go to buy a new pair of socks. Oh, and there's a lot of data. As it's evolved and gotten better at making sense of its new Big Data, the Web has become an extraordinary engine for discovering new stuff: News, cat videos, porn, you name it. Naturally, scores of sites are becoming (or are building) recommendation engines to help users wade through the noise, and, dining on Big Data, they get smarter every day. However, as it stands today, the discovery process is pretty fragmented, as recommendation engines tend to be domain-specific. Want to find a good movie? Try Netflix. Want to find a good book? Go to GoodReads, etc. And this fragmentation makes for a crappy user experience. So, frustrated with the fact that there's no one-stop shop for great recommendations on, well, everything, a couple of seniors at MIT have developed, and quietly launched, Tipflare to be that general solution.

Source: http://feedproxy.google.com/~r/Techcrunch/~3/oB8HsGta2oI/

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