Alternatives

Products that do what splashbe.at, a force graph of Wikipedia's list of music styles does

1. 1AB
   A Billboard-like chart for Wikipedia articles▲28

   2015 · top.hatnote.com

2. 2
   The Drop v2▲215

   EDM discovery community, now w/ instant search and genres

   2015

3. 3
   MTME▲102

   A new way to discover music

   2017

4. 4ST
   Socktunes, the music search engine▲15

   2014 · socktunes.com

5. 5AC
   A curated library of free music for content creators▲239

   2018 · cchound.com

6. 6ET
   Easy to use Wikipedia API for Python▲218

   2013 · github.com

7. 7
   LightNote▲242

   An interactive site to learn the basics of music theory 🎶

   2016

8. 8
   Wibe▲85

   Surf Wikipedia with the Power of YouTube

   2014

9. 9DN
   Discover new music through an infinite suggestion graph (React/Redux)▲108

   2016 · panther.audio

10. 10
    The Artist Hunt▲108

    An intuitive way to discover music

    2014

11. 11
    Upbeat▲62

    The Reddit of music.

    2013

12. 12HM
    Hype Machine - 5+ years of Internet music history▲109

    2013 · blog.hypem.com

13. 13HW
    Harmopark – Web tool to visually build chords and progressions▲153

    2019 · harmopark.app

14. 14AW
    A Wiki written in 80 lines of JavaScript▲79

    2011 · wiki.pageforest.com

15. 15
    Wavy▲138

    Royalty-free music samples to inspire your project.

    2016

16. 16
    The White List▲95

    Twitter and SoundCloud powered Product Hunt for music

    2015

17. 17
    Chartcube▲96

    A new way to see and share data - on the iPad

    2014

18. 18
    Boomrat▲84

    Electronic Music Discovery Platform

    2014

19. 19
    Stylestats▲59

    A Node.js library to collect CSS statistics

    2014

20. 20WB
    Web Based Music Composition▲23

    2017 · wetracker.xyz

21. 21WV
    WZRD – Visualize your music with StyleGAN▲76

    2020 · wzrd.ai

22. 22WC
    Wiki – Command-line tool to fetch summaries from Wikipedia▲35

    2015 · github.com

23. 23OA
    On A Loop: A community where people can recommend and discover music▲14

    2019 · onaloop.com

24. 24AM
    A music chart generated by mining artist relationships on SoundCloud▲6

    I use soundcloud.com for listening to new music. There are lot's of producers sharing their music & it's a great site. They have an API which I used to mine the relationships between users (who follows who) and so by using a PageRank style algorithm (UserRank) I scored each user in terms of how influential they are. I then used this to chart the 100 hottest tracks on soundcloud each month (based on an aggregate score of who created, favourited and commented on a track). You can play each of the tracks directly from the page, either sequentially or randomly, so it's like a single page…

    2011

Ranked by how close each launch is in meaning, then by votes. Refine with a description →