Forget Glastonbury! Music app generates your dream festival lineup based on your Spotify playlists
- The new app is currently waitlist only, available to people with an invitation
- It works on iPhone and Android and requires a Spotify account to work
- When signing up it scours through your Spotify playlists and most-played tunes
- It generates a ‘dream festival lineup’ from the tracks it finds in your Spotify lists
A new music app has been developed that can search through your Spotify playlists and most played tunes, and use the data to generate a ‘dream festival lineup’.
Users can then share their lineup with others, including a link to listen to the various songs, allowing people to find music they may not have heard before.
Anthems is currently only available to people with an invite, with a waiting list setup for those wanting to see what their lineup might include.
The app is available for iPhone and Android, but only works with Spotify – you can’t use it to generate a lineup based on Apple Music, Amazon Music or YouTube songs.
A new music app has been developed that can search through your Spotify playlists and recently played tunes, and use the data to generate a ‘dream festival lineup’
Users can then share their playlist with others, including a link to listen to the various songs, allowing people to find music they may not have heard before
When you first launch the app, it asks for permission to trawl through your Spotify account, before analysing your playlist and listening history.
It takes your most-listened to artists and uses that to create your festival line-up, with those you most listen to given priority.
Once you’ve let the app search through your Spotify music, it produces a virtual festival poster, lets you connect with other people using the app, and share your tune selection.
It also creates a ‘station’ type playlist from each of your friends, so you can enjoy other people’s virtual line-up.
Within the app there is also an Explore tab, letting you discover trending songs, friends songs, or tracks it thinks you might like from your most-played tunes.
The app shows you what your playlist should look like and lets you share tracks with others in the app, or on other social media platforms.
A number of projects have been launched to improve music discovery, or to learn more about human nature through the music we listen to.
Researchers in Israel conducted experiments to see if song choices could be linked to their curator, even without knowing their music tastes.
They found undergraduate students were able to identify others from three pieces of music – but the experts did not deduce how they did it.
Anthems is currently only available to people with an invite, with a waiting list setup for those wanting to see what their lineup might include
The findings are of concern because streaming giants could potentially identify anonymised users by listening habits, which ‘constitutes a significant threat to privacy disclosure’, they say.
Another research project, analysing billions of songs on Spotify, found that energetic, cheery tunes get us going int he morning, while slower tracks are best before bedtime.
Researchers have analysed more than two billion songs to provide the ideal soundtrack… With A Little Help from their friends at Spotify.
Anthems is currently in early access and new users can only join through an invite.
Do you look like your music tastes? Just THREE songs from a playlist are enough to identify their curator from a lineup – even without prior knowledge of their preferences, study finds
Just three songs from a playlist can be used to identify its curator from a lineup, a new study claims.
Researchers in Israel conducted experiments to see if song choices could be linked to their curator, even without knowing their music tastes.
They found undergraduate students were able to identify others from three pieces of music – but the experts did not deduce how they did it.
The findings are of concern because streaming giants could potentially identify anonymised users by listening habits, which ‘constitutes a significant threat to privacy disclosure’, they say.
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