Yhorik Aarsen

Just checking out my #spotify stats for the year. 70.000 minutes of listening, discovered 2000 artists from 69 countries. #value.

That's a lot of silly pop. Just a quick test with a playlist I made a while ago. It's a bit long, but I really wanted to test some limits. #Playlistener #Playlist open.spotify.com/user/111474891…

And this is the result I expected, but I think it made a more interesting list on automatic. A little surprised that it found Andrew Huang and Kozilek, but it makes sense. #playlist #Playlistener #spotify open.spotify.com/user/111474891…

This is the most interesting list #Playlistener built for me so far. Not what I expected. It's meant to be listened to in order, but it's good active background music so it's not a terribly long sit. The flow is pretty tight, but the shifts are unique. open.spotify.com/user/111474891…

The automatic mode seems to be working correctly now. It identified loudness, mood and danceability as important factors.

More house/pop. Split off the summer vibes from the cold stuff. Couldn't think of a shorter title. Like what #Playlistener did. It even found the tracks I just barely left out. #playlist #pop #house #edm open.spotify.com/user/111474891…

Expanded my pop/house/edm base list a bit. There's a couple of outliers, but it flows well. #playlist #Playlistener #spotify #pop #edm #house open.spotify.com/user/111474891…

Decided to start a new #hiphop collection. Started with 3 random picks from #Playlistener and ran that through a couple of times. Once I had 25 songs I generated this list which is mostly geared towards interesting beats. #playlist #rap open.spotify.com/user/111474891…

Accuracy is on point too. #Playlistener #Datavisualization

This list satisfies my need for bass. Generated in 2 steps from an 11 song list. It has a good variety of genres and a nice balance of hype, bop and (relatively) calm tracks. #Playlistener #Playlist #dubstep #house #edm open.spotify.com/user/111474891…

I hate so many things about this list, but it's so very right about the sound. #playlist #edm #pop Generated inbetweened playlist base on some recent discoveries using top tracks on Spotify with a high range of artists and popularity. #playlistener open.spotify.com/playlist/0xfWs…

More popular base artists do tend to light up the stats a little bit. The darker original lines seem pretty close to the generated list's lines.

I took one of Barney's "Get Psyched" playlists from #HIMYM and put it through #playlistener. On the one hand it's a monstrosity and on the other hand it's brilliant. I love every cheesy second of it. open.spotify.com/playlist/5SECh…

Another data makeover. Tweaked the drawing styles a little and fixed some glitches. #datavisualization #generated #playlist #playlistener

Changed the rendering of the graphs so it switches up the variables based on their importance to the list. The results look a lot more interesting now. #playlistener

Every single one of my playlists eventually ends up with tons of disco, jazz and funk influences. Guess those are just the right combination of complex and easy for me, because the algorithm does do what I'm telling it to do. #Playlistener #spotify

Another experiment with an impossible list. Every 4th song starting with the first was in the original list. #Playlistener #generated open.spotify.com/user/111474891…

Adjusted my sorting algorithm so it could keep going as long as the distance traveled was getting shorter. It got on a real lucky streak and got way further in the actual approximation of a shortest path through this playlist.

Added an aggressive genre filter as a first step to minimize requests. First actual list with the new settings and this shape really show the multi-dimensional nature of the graph. #spotify #playlistener #Datavisualization #playlist Bit of bass this time. open.spotify.com/playlist/31ojm…

Comparison between the 5D path of an unsorted list versus a sorted list. The X, Y, R, G and B values all represent one of the five main properties I'm using. #Spotify #Playlistener #Datavisualization