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 — and there’s a lot of data. As it’s evolved and gotten better at making sense of this Big Data, the Web has become an extraordinary engine for discovering new stuff. Scores of sites are becoming (or are building) recommendation engines, and, dining on Big Data, they get smarter every day. But, as it stands today, discovery remains fragmented, and recommendation engines are domain-specific. Want to find a good movie? Try Netflix. Want to find a good book? Go to GoodReads, etc., etc.
This fragmentation makes for a poor user experience. 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. While the site’s creators, Hayden Metsky and Thiago Vieira, have bigger ambitions, today Tipflare focuses in on giving users one place to find quality recommendations on books, movies, songs, and restaurants — in a jiffy.