Vaporwave

Playlist By

After Eating

Data Refreshed On

May 11, 2024

Open in Spotify

Description

a deadpan recontextualisation of glossy corporate music from a small number of artists on the internet reconstructing sound from heavy sampling of popular music & 80s/90s TV ads, looping, slowed down, pitch alterations w/ chop & screw fx

Quickstats

Playlist Length

5 days, 2 hours, 44 minutes

Playlist Followers

192286

Source

Artist, Discovered On, Playlost

Playlist Last Updated

October 10, 2023

Mood

Mixed Mood

Track Popularity Rating

Deep

Style

Varied

Average Release Decade

2010s

Main Genre:

Electronic

Reddit Info

Reddit Post

[this Spotify playlist](https://open.spotify.com/user/iam3/playlist/17HYiAIcwlDEg5RgVkm4L7) actually describes the music similarly: >a deadpan recontextualisation of glossy corporate music from a small number of artists on the internet reconstructing sound from heavy sampling of popular music & 80s/90s TV ads, looping, slowed down, pitch alterations w/ chop & screw fx

Upvotes

16

Subreddit

listentothis

Reddit Username

7oba

Reddit Timestamp

9/13/16 16:08

Genres

New: Click a genre to explore further

Top Artists

Click an artist to explore further

Discover Similar Playlists

Loading

Note: playlists with a lot of tracks or large variety of genres can take a while to process. Please be patient.

 
Waiting for progress to start...

Playlist Sampler

Click to get an aggregate playlist that draws from playlist tracks across artist, genre, and track categories.

Get a different set of tracks by running this multiple times. This tool is new, results will vary.

Note: Spotify login is required. You will be prompted to login if you haven't already.

Top Playlists

These are the playlists that frequently match with Vaporwave based on the categories below. Check-out each category for additional playlists.

Click the playlist to open in a new tab.

Playlists matched by number of shared artists

Playlists matched by number of shared sub genres

Playlists matched by shared audio characteristics. Audio characteristics capture the mood of the music but can sound different.

Playlists matched by number of shared songs