

Whether or not that’s also the case for Spotify remains to be seen, but it is certainly possible. Interestingly, Discord didn't state that the original problem was fixed, but a workaround was implemented instead. Also similar to Spotify, Discord acknowledged the problem and in slightly more detailed fashion by providing continuous updates on the progress it was making to implement a fix. The Discord issue also seems to have now been fixed, again, with access restored roughly around the same time as Spotify. At the same time, if the two outages were unrelated, then that would have been one strange coincidence. If the two outages were related, then it would normally be expected that there would be reports of other major services going down as well, especially if the problem was at the DNS or server level.

It gained popularity in December 2020 for its snarky roasts of users' listening habits.Strangely, Discord was also down today and appeared to have started encountering issues around the same time as Spotify. How Bad is Your Spotify is an AI that judges your music taste. It also shows how your top tracks, artists, and genres have changed since the last time you used Stats for Spotify. It shows you your top tracks, artists, and genres organized by the previous four weeks, last six months, and all time. Stats for Spotify is a classic Spotify data analyzer. So if you're the type of person who spends your days counting down to Spotify Wrapped or who regularly analyzes your listening habits to understand yourself better, you'll love these clever tools.Ī heads up that each of these websites requires you to log in to your Spotify and grant the website access to your Spotify data, and we've included directions at the bottom for how to remove each site's access once you've tried them out. We've scoured the corners of the internet and collected our 12 favorite websites that analyze your Spotify data. What genre do you listen to the most? How obscure are your favorite artists? And, wait, you listened to "Alone" by Heart how many times!? Mining your own Spotify data is like accessing a musical window into your own soul.
