Harvard students build new recommendation engine

The idea is pretty similar to Hunch, but we think there's an opportunity since Hunch had some dedicated users and no one else has stepped in to fill that gap.

We're also trying to be more social than Hunch, and think there's something special about answers by friends (both in terms of the "friends know you better" angle and the fun angle).