Discovr Is The Best Way To Find New Music On An iPad

The iPad may not be the first device you'd use to try and discover new music, but thanks to a new app called Discovr from Australian developers Jammbox, you can not only find new music, but also view it in an awesome graph format.

The app works by letting you insert the name of an artist you like. It then show you similar bands, with connected lines on the iPad's screen. You can tap on one of these artists to see other similar artists, or you can double tap an artist to drill down for more information, including a bio, reviews, links and YouTube videos. From there, you can share information on artists via Twitter or Facebook, or add them as a favourite to the homescreen.

Dave from Jammbox describes the app's design in geek terms, for the Giz audience:

Discovr is based on graph theory and graph visualization. Relationships between artists are ordinated in 2D space using a force directed graph layout algorithm and particle simulation modeling. Each graph node (artist) is represented by a simple physical particle model with mass and electric charge. Each edge (the connecting line between the nodes) is modeled as a spring. The system is then simulated according to the laws of physics to obtain the graph layout. Particles are moved around in space by the forces originating from electric interactions between particles and from spring interactions between particles and the springs they are connected to. More simply, nodes repel each other due to their electric charges, while edges try to pull the nodes closer to each other. The graph constantly evolves and adjusts as it searches for equilibrium.

Having played around with the $3.99 app for a while this morning, I can honestly say that the implementation is flawless. The only issue I had was that the link to artists' pages on iTunes didn't seem to work, making the actual purchasing of new music a bit more difficult. But watching the tree of connected artists branch out and recalibrate as you select more and more musicians is both impressive and an effective way of discovering new music. It's worth every cent of its $4 asking price.

[iTunes]


Comments

    this was an insta-buy for me. I like all these kind of spatial data-aggregating tools.
    After playing with it for a few minutes, no buyers remorse. win!

    Pretty cool - Looks pretty

    Although...

    I typed in Radiohead (I give no excuses) and wld have thought that Sigar Ross or Kasmir would have appeared, but no....

    I suppose over time....

    Looks cool but unfortunatly a number of free services do the same thing for me already in a rather automated way. iOS users already have genius and my last.fm account has about 12,000 track plays against it over a few years too.

    While I haven't tried it, so perhaps the app does it, is instead of requiring the user to start by typing an artist name, have an option to import artists based on music already stored on the iPad. That makes it a bit worth while to me and lets me see how many of my current artists are related (with the more connections probably indicating a stronger relationship and chance of liking it).

      sorry, that was 120,000 track plays over a few years.

      This app puts genius to shame.

        It probably does, I dont actually even use genius. I just think having to type artist name to begin with seems a hassle, I'd rather a constantly evolving tree that automatically builds itself as I add and explore new music. This seems a bit too manual, even if the data is presented in a nice way.

        I'm wondering if plainyg games uses MB because I have a 200 MB limit and I like to play iphone game apps. I don't want to go over the limit just because I am plainyg games that I downloaded. Does MB only go up when I'm actually on the internet?

      If you scroll down to the Update here:
      http://evolver.fm/2011/01/13/discovr-elegantly-delivers-world-of-music-to-ipad/

      Your exact feature request is coming :)

    This is an excellent app. Does Jammbox have any plans to leverage the technology for visualizing other datasets? I really would like to talk to them about wider applications. Give me a call or drop me an email.

    Rgds, Glenn

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