Just wanted to update you on my latest experiment. Since my journey at Hover[1], and Taptolearn[2], I have now joined the 3-person team at verbs.im and prototyping some new ideas. I've always liked detecting patterns - be it patterns in names as a kid, context on a webpage or from bigdata. So detecting apps from the image of a home screen in near real-time seemed challenging. Plus I got to work in C++ apart from just the weekends ( and erlang for Verbs) which is a great start to my new year.
Appetite detects apps on your iPhone's home screen automagically[3], and makes it easy to share by giving you a short url. Here's an example of what we detected from Ashton Kutcher's iPhone http://appetite.io/a/ c282709a
Here's what Matthew @Panzer, the editor of thenextweb had to say, when he stumbled on appetite to our delight
My CES home screen.Here’s a link to the apps (minus Glassboard, detected as a Japanese app):appetite.io/a/fe40b073 twitter.com/panzer/status/…
— Matthew Panzarino (@panzer) January 5, 2013
To try it out yourself, visit http://appetite.io or mail your homescreen to post@appetite.io
Will love your comments.
Will love your comments.
~Bosky | @bhaskerkode
[1] Soft-Acquired. Online advertising, Erlang stack, http://slideshare.net/ bosky101
[2] a YC startup where I worked on iOS frameworks + analytics, http://taptolearn. com/products
[2] a YC startup where I worked on iOS frameworks + analytics, http://taptolearn.
[3] via computer vision , machine learning
No comments:
Post a Comment