Everyone knows Pandora, right? I remember one of my very early posts on Advocate’s Studio was about the streaming music service based on the Music Genome Project that compared  your interests to other cool music you might like based on matching some 40 something-odd characteristics. I remember being totally blown away by the concept of Pandora when I first happened on it: it was one of those A-HA moments that hooked me deeply to web apps and the power of the Internet back in the day.

News radio, however, hasn’t had the benefit of personalized, algorithmic preference-based treatment like music has enjoyed. Until now.

Swell is a new free mobile app (currently iOS and soon Android) that promises a somewhat similar experience for news and podcast junkies. At first, you will get served a wide variety of podcasts and, as you skip or like shows, Swell will get better at guessing what you want to hear. This could include TED talks, NPR programs, ABC media, BBC media and other sources. Hopefully the sources will expand as the service gets more popular.

Starting with your Twitter login, Swell will base initial guesses on your network. Like Pandora, Swell will simply deliver up the content in a continuous stream, one after the other. Sort of like “set it and forget it”, but preserving the ability to skip or like to tailor the experience to your tastes. You can also bookmark content to return to later. Swell calls this a “lean back” format. So, I guess you just turn it on and lean back while the goods are delivered. The algorithm measures (from the site):

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Tags: Music Genome Project, Pandora, Personalized News Radio, Swell