Posts Tagged spotify
Every week, thousands of artists release albums on Spotify. Sifting through all this new music to find good stuff to listen to can be hard. Luckily, there are lots of tools from New Music Tuesday playlists to the Spotify Viral 50 to help us find the needles in the proverbial haystack of new music. However, most of these tools tend to surface up new music by artists that have been around for a while. For instance, the top artist on Spotify Viral 50 as I write this is Jeremih who has been on the charts for five years. The top of New Music Tuesday right now is Mumford & Sons who’ve been recording for at least eight years.
I’m interested in finding music by the freshest artists – artists that are at the very beginning of their recording careers. To that end, I’ve built a new chart called ‘The Fresh 40’ that shows the top albums by the freshest artists. To build The Fresh 40 I scour through all of the albums that have been released in the last two weeks on Spotify (on average that’s about 30 thousand albums), and find the albums that are the very first album release for its artist. I then rank each album by a weighted combination of the number of followers the artist has on Spotify and the popularity of the artist and album (which is related to Spotify track plays). The result is a chart of the top 40 most popular fresh artists.
The Fresh 40 updates every day and shows all the salient info including the rank, yesterday’s rank, the overall score, artist followers, artist popularity, album popularity and the number of days that the album has been on the chart. Since an album can only be on the chart for 15 days, there’s quite a bit of change from day to day.
If you are interested in finding music by the very newest artists on Spotify, you might be interested in The Fresh 40. Give the chart a look.
My weekend programming project this week was to explore a new feature of the Spotify Web API that allows you to find albums that have been released in the last two weeks. The result is a web app called Fresh Faces. This app goes through all of the recent releases and finds those that are the very first release for the artist. If you are looking for new music, there’s no fresher place to start than this app – it finds the newest music by the freshest artists – artists that are barely two weeks into their recording career.
Fresh Faces lets you sort the results based on artist popularity, album popularity, artist followers or release date. You can click on an album to hear a sample, find more info about the album or open it on Spotify.
How many new releases are there?
I was curious about how many releases there are in a two week period, and when releases tend to happen, so I added a chart at the bottom of the Fresh Faces app that shows the distribution of fresh and recurring releases and the dates when releases happen. You can see that the shift of releasing music from Tuesday to Friday is ongoing.
In the past two weeks about 32,000 albums have been released – about 5,200 of these are the first release for the artist. That’s a whole lot of fresh music.
Give Fresh Faces a try and let me know what you think.
One of the problems with working at a company like Spotify is that my Spotify account gets filled up with all sorts of work-related playlists. Over the last few years I’ve built lots of apps that create playlists. When I test these apps I end up generating lots of playlists that I will never ever listen to. If I were a tidy soul, I’d clean up my playlists after ever project, but, alas, that is something I never do. The result is that after working at Spotify for a year (and using Spotify for 8 years), I’ve accumulated many hundreds of garbage playlists. Now I could go into the Spotify desktop client and clean these up, but in the current client there’s no good way to bulk delete playlists. Each playlist delete takes at least 3 clicks. The prospect of doing this hundreds of times to clean up the playlist garbage is a bit overwhelming.
I had a few hours to kill in a coffeeshop yesterday so I decided to deal with my playlist mess. I wrote a little Spotify web app called The Unfollower that lets you unfollow any of your playlists with a single click. If you change your mind, you can re-follow any playlist that you unfollow.
The Unfollower uses the Spotify Web API to make it all happen. In particular it relies on the Follow/Unfollow API that was recently added by the API team.
If you are like me and have lots of dead playlists clogging up your Spotify, and you are looking for a streamlined way of cleaning them up, give The Unfollower a try.
Yesterday I gave a talk at SXSW about what we can learn about how we listen to music by looking at all sorts of listener data that we collect at Spotify. You can see the slides for my talk here … but the slides only tell half the story, the other have are in my words, but those aren’t written down anywhere. You’ll just have to assume that they were very insightful, and a little bit humorous, but at the end told an incredible story leaving you inspired and fulfilled.
The Spotify Insights team took a deep dive into some of the listening data of college students to see if there were any differences in how students at different schools listen. We looked at a wide range of data including what artists were played, what songs were played and when, what playlists played, what genres were played and so on. We focused mostly on looking for distinctive listening patterns and behaviors at the different schools. The results were a set of infographic style visualizations that summarize the distinctive listening patterns for each school.
It was a fun study to do and really shows how much we learn about listening behavior based upon music streaming behavior. Read about the study on the Spotify Insights Blog: Top 40 Musical Universities in America:How Students Listen
My Music Hack Day Berlin hack was “Where’s the Drama?” – a web app that automatically identifies the most dramatic moment in any song and plays it for you. I’ve been having lots of fun playing with it … and even though (or perhaps because) I know how it works, I’m often surprised at how well it does at finding the most dramatic moments. Here are some examples:
- When will the Bass Drop – Lonely Island
- Stairway to Heaven – Led Zeppelin
- Doomsday – Nero
- November Rain – Guns N Roses
How does it work? The app grabs the detailed audio analysis for the song from The Echo Nest. This includes a detailed loudness map of the song. This is the data I use to find the drama. To do so, I look for the part of the song with the largest rise in volume over the course of a 30 second window (longer songs can have a bit of a longer dramatic window). I give extra weight to crescendos that culminate in louder peaks (so if there are two crescendos that are 20dB in range but one ends at 5dB louder, it will win). Once I identify the most dynamic part of a song, I pad it a bit (so we get to hear a bit of the drop after the build).
Playing the music – I wanted to use Spotify to play the music, which was a bit problematic since there currently isn’t a way to play full streams with the Spotify Web API, so I did a couple of hacky hacks that got me pretty far. First of all, I discovered that you can add a time offset to a Spotify URI like so:
When this URI is opened in Spotify (even when opened via a browser), Spotify will start to play the song a the 1:05 time offset.
I still needed to be able to stop playing the track – and there’s no way to do that directly – so instead, I just open the URI:
which happens to be the URI for John Cage’s 4’33. In other words, to stop playing one track, I just start playing another (that happens to be silent). The awesome side effect of this is that I’ll be slowly turning anyone who uses “Where’s the Drama?” into experimental music listeners as the Spotify recommendation system responds to all of those John Cage ‘plays’. This should win some sort of ‘hackiest hack of the year’ award.
It was a fun hack to make, and great fun to demo. And now that I have the app, I am no longer wasting time listening to song intros and outros, I can just get to the bit of the song that matters the most.
On the very same day that Spotify announced its acquisition of The Echo Nest they released a brand new Spotify iOS SDK. Trying this new SDK out has been high on my priority list, and finally after a few crazy weeks I’ve had a bit of time to take it for a test drive. I walked through the beginner’s tutorial and was up and running with an iOS app running in the simulator in about 30 minutes. Easy Peazy! The bit that took the longest was setting up the token exchange service. This is a service that you need to run on your own server as part of the authentication process. The tutorial provides such a sample service written in ruby, however I’m not a ruby programmer so I had to go through all the gyrations of installing ruby, figuring out how to install gems and getting the required gems installed. Once I had everything installed it worked fine and I was able to get the tutorial running. However, I figure that I’ll be working with the iOS SDK a great deal in my future, and I’d rather not have to deal with a ruby server every time I create a new app, and so for my Sunday morning programming project I’ve re-written the ruby swap service in python. The service is on github here: spotify_token_swap
If you are going to be using the new Spotify iOS SDK to create apps and you’d rather deal with python than ruby, then you might find it useful.