I need a new mix-tape.

Find the best new music possible, using your iTunes Library. (see a demo?)

 
 
PC Users:
1. Browse your Music folder and find the “iTunes Music Library” text-file; it may be inside of 'My Documents'.
2. Right-click the file to 'Send To' => 'Compressed (zipped) Folder'. Then, choose that file here on the site!
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* songs recommended, just now! loading animation... (pointless)

compress your 'iTunes Music Library.xml' file into a ZIP-archive, and upload it here!
 
 
Hey! Are you new here?
If your music library feels a bit “stale”, we can help. This site will build you an unlimited number of mix-tapes (of up to 16-songs each) with plenty of fresh music you should be interested in based on your current choices.
 

/Alternative/Jazz/Pop/Rock/Rap/Electronic/Folk/Classical/Country/Latin/Reggae/

 
What's the difference between this and other music recommendation services?
Other services passively suggest songs that you probably don't care about. 'I Like B-Sides', on the other hand, actively suggests random-mixes of less-popular but enjoyable songs (that you don't already have) by the artists you already like.
 
How does this work? These recommendations are great!
Simple, really. It does this by contrasting the songs you've rated and/or played-back against your remaining library, then checking sales-data for each artist and determining ratios of “quality-vs.-quantity” on both-sides... mathematically, using a proprietary formula. But past this point, it's not so simple.... We also factor songs that you do already own, but don't listen-to. (...for those who love collecting complete albums or discographies!) In addition, we subtract most of the more popular songs, and then move the songs that you already own elsewhere... for later comparison to retain the integrity of your library. And, that doesn't even include all of the math our developer smash has figured-out.... But, all you should care about is that the sorted results are then rehashed and the result is a fresh batch of songs for you to grab. Ta-da! ;)

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