Keegy is a RSS mashup site that spiders selected web 2.0 type of blogs for the posts that they write. When you visit the site you are immediately taken to your own separate country sub domain and shown the relevant content based on the sum of all the site users from your own location.
The site then kicks it’s Artificial Intelligence algorithm in and analyzes the behavior of all the visitors from your locale and ranks the posts from the various blogs according to an ever updated local preference. The site constantly generates tags and a new home edition based on the interaction coming out of the City/Country.
So, say you’re in India and if all those people every read and click on is hindi music, cricket and Indian hot girls than that’s what you’re going to see.
Clicking on a story’s link it opens up with in a frame of the keegy site itself. You can return back to keegy with a click, rate the article for the benefit of others or visit the actual site/blog by clicking on the “close frame” option.
The tags on the left let you filter the stories by your interest. Also you can visit any of the country’s sub domains to have a look at what viewers from there are reading.
The categories seem broad enough, you can suggest your own feed and hopefully they’ll accept it. They were just launched recently so it might be beneficial for blog writers to get in now. Feeds have to approved by their admin to be displayed.
More at:http://in.keegy.com/
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