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.
There are many tools to analyze and rank Twitter users, but a new one takes a trick from Google's book. Trst.me uses an algorithm similar to Google's PageRank to give any Twitter user a score from one to 10 based on their followers' networks of followers.