Just in time for Valentine's Day, the personalized radio service adds hundreds of sweet, sultry songs by Marilyn Monroe and friends.
An Internet radio startup debuts Tuesday in a market dominated by Pandora, Apple and other streaming services. But Mad Genius Radio wants to appeal to those who want extreme personalization — aficionados willing to pay $5 a month to hear music exactly how they want it. "Radio, when it's set up and done well, it can surprise you," said Eric Neumann, the Denver-based company's co-founder.
Mad Genius Radio is the latest music player to try to tackle the tricky balance of playing the songs you want to hear along with new ones you'd be interesting in.
Whether you're creating playlists on Spotify or thumbing around on Pandora, cherry-picking your favorites from among millions of songs has a way of getting stale fast. To remedy the issue, new kid on the block, Mad Genius Radio (available for iOS and Android), has devised a creative new way to give listeners unprecedented control over their playlists.
Music falls easily into genres, but that doesn't mean your taste does.
A new online radio service launched this week: Mad Genius Radio. It is technically and legally a non-interactive online radio platform (like Pandora). But the interface invites much more customization than other lean-back services. It is fun, addictive, and an interesting new user experience in streaming audio.
The company's goal is to combine the power of new technology with the ineffable magic of great radio stations. "People are eclectic, and that's because people's musical tastes are based on an emotional connection and not a mathematical correlation," Neumann says.
Mad Genius Radio is a new startup breaking onto the radio scene with a bevy of unique features and a beautiful interface both via the web and their iOS/Android apps. - See more at: http://www.madgeniusradio.com/press/#sthash.B5Y4SdYX.dpuf
Mad Genius Radio is taking a somewhat old-school approach to streaming music.
In a world where most radio services use correlation algorithms to figure out what you want to hear, based on beats per minute and cadence and genre, without really thinking about the right rotation of new and old music. Thus, the stations you end up listening to the most become a bit stale.