DiscoverTracks – Musicians you love listen to what you like
discovertracks.com
discovertracks.com
There's probably a more user friendly way to say that. Cool idea though.
Not a new concept, but this one is hard to use. Only one track is presented at a time. Very slow to discover.
I thought it was Musicians you love, listen to what you like or Musicians you love to listen to what you like it caused some cognitive dissonance.
Side note: what's up with the background moving along with mouse cursor? It was a little distracting at first, but I'm guessing the purpose is to make the site feel like you're browsing through a record store?
thx for your tagline proposal, I think it is the best up to now!
Edit:
Is the site open source?
Diplo has second account for reposts[2][3] only.
I personally prefer a curated approach, like blip.fm[4] offered/offers, to any automated methods so far.
[1]http://help.soundcloud.com/customer/portal/articles/527370-w...
[2]https://soundcloud.com/diploapproved
[3]http://doandroidsdance.com/news/diplo-approved-soundcloud/
[4]http://blip.fm/all?p=1 Is this site more than a zombie? Still no soundcloud integration in sight.
It is not open source, but you may be willing to give a hand ;)
Plug but it's a useful one: run the tracks through the SCAnalyzer http://labs.echonest.com/SCAnalyzer/index.html and filter for speechiness and duration. If you get a SO ID, you'll also know the artist via fingerprinting and you can do more filtering at that level.
I made a slightly different take on this: http://likesorter.herokuapp.com/#
It shows me in a table my likes and then allows me to see (in table form) the likes of artists I follow. Being able to sort my tags, plays, and song likes, I get more signals on whether I might actually like the song.
Music discovery is a really tricky problem. It takes roughly a minute each song to know whether I like a song or not. There's almost too many microgenres to keep track of (I like tech house but not trap house). My tastes are eclectic: you'll find cheesy songs right next to the hippest coolest disco funk track. The artists I follow probably have similarly eclectic tastes.
interesting "human algorithm" approach, but I believe machines can help sorting the recommendations with a better bird eye view ;)
btw, I am currently working on an algorithmic improvement to discriminate mainstream tracks from alternative tracks if your interested into it
I like your visual design better though, it's way cleaner. Also the track is better presented, but then again there were no pictures for tracks when I started.
Edit: Oh and btw I also had no clue how to describe what it does succinctly ;)
[1] https://github.com/prayerslayer/favsquare [2] http://obscure-basin-1623.herokuapp.com/ [3] http://ascott.github.io/favematic/
Edit: Soundcloud quota are not explicit unfortunately.
also, you may add a 'mute' option for certain musicians/people, (some are not musician but just friends)
I can't believe Soundcloud doesn't already offer this.
Recommended!