Pingdom Reviews

Every Noice at Once Reviews

Pingdom mentions (3)

• Router vs. Modem - Random internet drops - how to determine culprit?

  So the way I troubleshoot which one is losing connection is by setting up 2 ping monitors with pingdom.com. Source: almost 3 years ago

• Stumped by some odd results using Salesforce's /speedtest.jsp

  Basically, I'm getting results like these on average: https://imgur.com/X7RV1LH from running Salesforce's speedtest tool. It's a pretty new computer, brand new job for me (though I experienced this in an old job as well) so I don't have a great baseline. As you can see, everything is good except the download speeds. I've checked my speeds on fast.com and tested my google mesh wifi from directly within the Google... Source: almost 3 years ago

• Sorrento Website has so much traffic its failing to load

  A lot of websites worldwide went down in the last hour. 30k websites according to pingdom.com the number has been slowly going back down. Source: almost 3 years ago

Every Noice at Once mentions (422)

• When do we stop finding new music?

  I see this in https://everynoise.com/#updates > 2024-01-05 status update: With my layoff from Spotify on 2023-12-04, I lost the internal data-access required for ongoing updates to many parts of this site. Most of this, as a result, is now a static snapshot of what, for now, will be the final state from the site's 10-year history and evolution, hosted on my own server. Some pieces may get disabled and reenabled... - Source: Hacker News / about 2 months ago

• Spotify launches personalized AI playlists that you can build using prompts

  Anyone aware of a similar feature for foobar2000? I have an extensive library mostly tagged from Discogs, including release IDs. In theory, this should be sufficient to cluster music by genres, pull similar releases from Discogs "similar" feature and correlate data from https://everynoise.com. Obviously, in case of album mixed genres things will mix up, but I'm not sure there's a model that can correlate existing... - Source: Hacker News / 2 months ago

• Displaying Content as a Graph

  The article mentions Glenn McDonald's musical genre page (https://everynoise.com/, no longer refreshing with new Spotify data) as an example of a flexible graph-like exploration format, without being burdened by explicit connections. The author also has a thorough description of pros and cons of the general concept. - Source: Hacker News / 5 months ago

• The Beginning of the Past

  This is from Glenn McDonald's blog, founder of "Every Noise at Once". He was laid off from Spotify (discussed here briefly [0]) --- https://everynoise.com/ is now in "archival copy" mode [1][2]. Super sad to read / see this. [0] https://news.ycombinator.com/item?id=38650917 [2] https://twitter.com/EveryNoise/status/1736086849339244935. - Source: Hacker News / 6 months ago

• [OC] Exploring my world of music in 7 years of listening data

  Data exported using: https://benjaminbenben.com/lastfm-to-csv/ Album art compiled using: https://www.neverendingchartrendering.org/ Genre data compiled using: http://organizeyourmusic.playlistmachinery.com/# https://everynoise.com/ https://www.tunemymusic.com/transfer Gender, year and country of origin information manually compiled using Last.fm and wikipedia. Data analysis done in excel and image created in GIMP. Source: 6 months ago