MeeMix Changes Music Listening & Sharing

I met a number of entrepreneurs and venture guys in Israel over the past couple of weeks. The Garage Geeks event was also full of start-ups. There are far too many to cover them all but I'll be talking about the ones I most resonated with and would be likely to personally use over the next couple of days.

We also saw a few that are still in stealth mode so I can't write about them yet, but as things develop, I'll cover the ones that gave me aha moments. One is in the 3D space and tries to combine elements of SecondLife, SceneCaster and some of the sites solely dedicated to 3D online shopping.

As a lover of music and the Pandora concept, I was really impressed with MeeMix, a personalized Internet radio community, built to reflect and engage unique taste preferences.

MeeMix encourages users to saturate their personal spaces on the web with expressions of their own one-of-a-kind taste in music. Members communicate with a slew of other social networks and friend communities, by making live song recommendations on Facebook, posting favorit songs or reviews to Twitter, placing Mee Widgets in sites and blogs presenting Favorite Artist, Favorite Station or using one of their applications in Bebo, Facebook, Hi5, and MySpace to present their music style in local profiles.

They're unique in several ways. MeeMix looks at your invested user experience and adds a community nature to predict music you'd likely be interested in. Some of the other sites in this category that aim at taste prediction strive for detailed classification of music and rely mainly on musical attributes to estimate a user taste.

MeeMix tries to identify personal taste by giving the human factor more consideration and combining that with musical attributes. They are not interested in classifying all of the characteristics of a song but are constantly refining the attributes they classify to better relate them to a user preference.

In contrast to competitors, if three members ask for the same artist in MeeMix in creating a personalized station, chances are that their stations will be very different upon completion. The reason will be the human factor. Their algorithm takes into account demographic and geographical aspects. If the same artist is picked by a 16-year-old girl from Minnesota and a 34-year-old man from Spain, their musical tastes are probably not similar and those their playlist will be comprised based on very different characteristics.

Their home page is pretty simple making it easy for people to get started quickly without a lot of effort or having to sift through a complicated set-up process. It almost looks like a search engine for music.

It's worth checking out and I'm sure they would love to hear your feedback. Below: me with their quick witted and engaging CEO Gilad Shlang after a start-up dinner in Tel Aviv.