
Music Hack Day, the Stockholm edition
January 31, 2010This weekend was Music Hack Day Stockholm (you may recall posts about the Music Hack Day in Boston a few months ago), and I spent far too much of my weekend following the events via their live feed – a little glimpse into the future of how we interact with music. I think my takeaway for the weekend was twofold: i) damn it, I really wish I wasn’t a mediocre coder and ii) Can we hurry up and have Spotify in the US already?
Some fave hacks out of the weekend (you can see a full list here):
HacKey: Matt Ogle‘s lovely hack takes your Last.fm listening history and generates a pie chart to tell you what proportion of your favourite music is in different keys. And if you click on a wedge, it’ll play you a song sample in that key (thanks to Tim for letting me use his pie chart!)
My City vs. Your City: Lets you compare what artists are being listened to in any two cities. I think it’s ‘differentially listened to’ (like Netflix’s ‘Neighborhood’ feature). This is kind of a cool music exploration tool – what are the outlier artists that I’ve never heard of?
Holodeck: This site elegantly links together your info from SoundCloud, Tumblr, Songkick, and Last.fm. The main use case is for artists – it’s a one-step, one-stop web presence.
One that looks great but isn’t quite ready for prime time:
Songkick on Tour: This hack links together info from two focused social media sites, Songkick for concerts and Dopplr for travel, to make concert recommendations for your upcoming trips. Since I travel a decent amount and always check to see if there are cool shows, I would love to see this app go live (you can see a video of the demo here). And now I want to start using both Songkick and Dopplr more.
And one that I really, really want to play with but I can’t because Spotify isn’t here in the US yet (but if you’re reading this from the UK or other Spotify-friendly countries, enjoy):
TuneMyFeed: Takes any RSS feed (a Twitter stream, frex) or uses Facebook Connect to log into your FB account, pulls out keywords, and creates a list of related songs in Spotify. Want.
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