Find New Music You’ll Like

I listen to quite a lot of music, but more often than not it’s the same bands and music I know I’d like. However there are a few new music sites that aim to find new music for you matched on your current music tases, and allow you to play them online, so I thought I’d take a look.

Pandora helps you discover more music that you’ll like

Pandora is a product from the Music Genome Project.

As you can see from the above, you first select an artist that you like. It then searches for bands that are similar, and plays ones it thinks you will like. You are able to rate the music and if you don’t like it, it will skip on to the next track. You end up with different band “radio stations”, each with other music similar to that band.

After a while the system will ask you to register, and is for US based music lovers only at the moment. However the only proof is a 5-digit US zip code, so just type one in and you’re good. Due to licensing issues there is no ability to rewind a track and you can only skip a certain number each time you listen. However you can easily create another station and listen to music on that station instead. Great free music.

iJigg shows you popular music

iJigg seems a little like a copy of Digg but for music rather than web articles. You can submit music, rate music and comment on music. They also have a nice little flash player to embed music on your site.

Frankly I haven’t heard of many of the bands, but maybe that’s a good thing?

Amie Street allows you to download free and DRM-free music

AmieSt is a cool site where the music starts for free. It’s clever in that the more popular a song gets, the more it charges for that song, but only up to 98 cents. You can even earn free music by finding more great songs and recommending them to your friends.

Artists can add their music and the music you download has no DRM, you can burn it to a CD, put it on your mp3 player, or whatever. Before you join you can listen to some sample songs here.

Enjoy your new music!

Originally found via: Read/Write Web and Techcrunch

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