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Based on our record, Discogs seems to be a lot more popular than Noiseblend. While we know about 289 links to Discogs, we've tracked only 4 mentions of Noiseblend. 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.
Yeah but those would be official releases? Like if you went to discogs.com, you would be able to find those, along with release date, tracklist etc. I don't think thats the case for the example I'm making here. Source: 5 months ago
They only have 2 songs on Spotify, and my friend helped me find a website where I can buy used copies of their CDs from other users, but I don't know that site well (discogs.com), so I am hesitant. Source: 6 months ago
I hear what you are saying about up-sampling and you are probably right to be suspicious. a great resource for checking this type of thing is discogs.com. Source: 6 months ago
This is a free generator for Jukebox title strips, with functionality to import track & artist information from discogs.com. Manually fill in the form, or copy/paste the URL from discogs, select any style options you like, then hit the button to generate. Source: 7 months ago
My father had an amazing record collection, it was all Jazz. I remember he had a Louis Armstrong song called "Everybody wants to go to heaven, but nobody wants to die." I've searched and searched for this song and I see other versions (on discogs.com for example) but never Louis'. Source: 10 months ago
I also worked for 8 months on a music discovery webapp called Noiseblend that uses Spotify. We were never accepted for their commercial program and were not allowed to ask for money on the website. Source: about 1 year ago
My most ambitious web project was https://noiseblend.com which is a web app for discovering music on Spotify. It’s a next.js + React slow and memory hungry mess [1] which could have been static HTML with some JS for the dynamic bits. Experience taught me to keep it simple nowadays, but I had to go through the Noiseblend mistakes first. The stack is Python with Sanic for the backend, Postgres for db and Redis for... - Source: Hacker News / over 1 year ago
I’m serving everything from the Spotify API directly on Noiseblend (https://noiseblend.com) and rate limit has never been a problem. When a request fails because of a rate limit, Spotify responds with 429 and a Retry-After header so you know when to schedule the next request. In my tests, that header never had a value greater than 10 seconds, and 429 responses were very rare. - Source: Hacker News / over 2 years ago
I've been using this site ever since I discovered it! I'm glad to see it featured on HN. I started learning to play the Romanian Kaval [1] last summer and Songdata helped me enormously in finding good backing tracks to improvise on. I'm mostly improvising on chillhop tracks right now because I'm trying to develop less traditional rhythms (although I'm still clumsy with the breathing and knowing when to keep the... - Source: Hacker News / over 2 years ago
MusicBrainz Picard - Official website for MusicBrainz Picard, a cross-platform music tagger written in Python.Downloads · MusicBrainz Blog · Picard 2.
Spotify - Map shows when two people play same song at same time
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
Noon Pacific - The week’s best music handpicked & delivered to your devices
Mubert - Craft high-quality content using next-gen royalty-free music powered by AI.
TagScanner - TagScanner is a multifunction program for organizing and managing your music collection.