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Based on our record, MusicBrainz seems to be a lot more popular than Gnoosic. While we know about 96 links to MusicBrainz, we've tracked only 3 mentions of Gnoosic. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It is really cool and useful. Interesting that you were able to gather enough data from users to make it work. I guess it was much less useful in the beginning? I thought of making something similar with data from https://musicbrainz.org/. - Source: Hacker News / about 1 month ago
What do you use to tag your music? I imagine if you use a consistent piece of software (mp3tag, musicbrainz picard), they're going to do it the same way. Or for example, maybe musicbrainz.org allows people to enter metadata in their database in UTF-8, so it's possible you might get different answers from there even though you're using a standard piece of software. I imagine something like picard could use a search... Source: 5 months ago
The MusicBrainz database usually has hq versions of most covers. Source: 10 months ago
When it comes to MusicBrainzPicard, it pulls data directly from https://musicbrainz.org/. If you are finding music you have that isn't listed in the database, you could help out by contributing to the database so that everyone gets access to that music. Source: 10 months ago
While this doesn't help with replacing the discussion you get on reddit, might I suggest people spend some time contributing to their favourite artists on https://musicbrainz.org/ ( https://en.wikipedia.org/wiki/Musicbrainz )? Many services & apps use MusicBrainz data, so you could help your favourites by making sure the information for their entries on MusicBrainz is as complete and accurate as possible! Source: 11 months ago
I'd recommend visiting gnoosic.com and adding Joji/The 1975 etc. Into the algorithm to generate similar artist recommendations. Alternatively, you could probably type generic keywords into Spotify like 'young love' or 'the one that got away' and find some relevant playlists there. Source: about 1 year ago
After LRD's songs were removed from Spotify I really had nothing that sounded like them to listen to except the recent version of White Awakening. About a week ago I discovered a website called gnoosic that recommends music based on a few bands you like. I put in LRD and it recommended Suishou no Fune so I checked them out. They sound so much like LRD and I finally found some LRD-esque music to listen to. If you... Source: about 2 years ago
My whole life changed when I found this website. Source: about 3 years ago
MusicBrainz Picard - Official website for MusicBrainz Picard, a cross-platform music tagger written in Python.Downloads · MusicBrainz Blog · Picard 2.
BandNext - Discover bands that sound similar to artists you already love with BandNext. A single click saves your results to a Youtube playlist.
Last.fm - The world's largest online music service. Listen online, find out more about your favourite artists, and get music recommendations, only at Last.fm
Music-Map - The Music-Map is the Tourist Map of Music, part of Gnod, the Global Network of Discovery.
Discogs - Discover music on Discogs, the largest online music database. Buy and sell music with collectors in the Marketplace.
TasteDive - TasteDive recommends similar music (musicians, bands), movies, TV shows, books, authors and games, based on what you like.