Bangalore-based Hachi connects the dots between your social-network contacts and recommends the best "people path" to someone new.
Rachel MetzFollow @twitterapi
IT Editor, Web & Social Media
As MIT Technology Review’s IT editor for Web and social media, I cover a wide variety of startups and write gadget reviews out of our San Francisco office. I’m curious about tech innovation, and I’m always on the lookout for the next big thing. Before arriving at MIT Technology Review in early 2012, I spent five years as a technology reporter at the Associated Press, covering companies including Apple, Amazon, and eBay, and penning reviews. I’ve also worked as a freelancer, covering both technology and crime for the New York Times.
I grew up mostly in Palo Alto, California, where companies like Hewlett-Packard and Google were simply a part of everyday life. But I didn’t discover my love for tech coverage until 2003. That’s when I accidentally discovered a major security lapse in Palo Alto Unified School District’s wireless network, which allowed anyone with Wi-Fi to view sensitive student information, including psychological profiles identified with full names. When not hard at work on a TR story, I can be found riding around the Bay Area on my road bike or my Vespa.
Rachel Metz's Stories
After tracking my walking, biking, drinking, and stress levels for weeks, I've learned I'm more a creature of habit than I thought.
Co-founder Sergey Brin takes Project Glass for a test walk.
Microsoft is revamping its search engine and exploiting the growth of social networking online.
SoundWave lets an ordinary laptop function like a Kinect sensor.
The creators of Placeme think "persistent tracking" will have all sorts of positive uses—from keeping tabs on your exercise habits to keeping watch over loved ones.
A mobile-security startup offers an app to stop you from downloading bad apps.
Carnegie Mellon researchers believe they can capture the essence of an area based on what Foursquare users do there.
A startup called Boxfish hopes users will search through the latest TV dialogue.