Feb
I buy a lot of music. I can never quite get enough, and walking into a music store can be a dangerous proposition - I’ll frequently leave with a giant stack of music and a lighter wallet. With all that music buying, I tend to listen to them all a time or two, and if they don’t grab me, they quickly become forgotten. This results in a very large music collection with a lot of music that I haven’t really listened to - not enough to really know, at least.
My brother recently pointed me at an application that can help me to find new music in my own library. It’s called MusicIP Mixer. The basic idea is that it has a profile for every song, built by doing some sort of crazy mathematical analysis. Unlike other music services out there that I’ve tried that require users or experts to hand create profiles of each song, this is based purely on an analysis of the music itself.
With this cool data, it makes mixes for you. And it’s so nifty. You can make a mix based on one song, an artist, a collection of songs - it tries to find other songs in your own library that are like the songs you selected (based on crazy mathy formulas, I’m sure), and there you go. You can create “moods”, which you define by selecting some songs. For example, I made an exercise mood with fast paced songs, and then told it to make me a mix based on it. And voila! Lots of upbeat, energetic music to workout to.
I made some mixes to workout to, and some mixes based on my favorite songs to find other songs like them. It pulled up lots of music that I don’t usually listen to, and I got to hear some new-to-me stuff. Very neat.
My second method of finding “new” music was way simpler. It was to just make a smart playlist in iTunes. The rules? Select songs that I hadn’t listened to in the last two months, with a rating greater than 1 star. It’s been a pretty great way to listen to the less fortunate songs that haven’t been getting my attention.
I haven’t “discovered” anything really unexpected, but have found some old songs that haven’t made it into rotation recently, and got to hear some songs that might just earn a place on my faves list someday.

