Alternatives
Products that do what PickTrack — Music Discovery for DJs does
Top 100 DJ charts ranked by real engagement, not hype
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Hey HN! I just shipped a project I’ve been working on called Maroofy: https://maroofy.com You can search for any song, and it’ll use the song’s audio to find other similar-sounding music. Demo: https://twitter.com/subby_tech/status/1621293770779287554 How does it work? I’ve indexed ~120M+ songs from the iTunes catalog with a custom AI audio model that I built for understanding music. My model analyzes raw music audio as input and produces embedding vectors as output. I then store the embedding vectors for all songs into a vector database, and use semantic…
2023 · maroofy.com
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Hello everyone! As someone who's constantly on the look for new music to discover and being very deliberate about the things I'm listening, I needed a better way to organize the albums I want to listen to, listened and liked. And also I would like to see the discoveries of other folks who I know I like. So I started creating the tool I wish I had in the first place. In Digs, the basic idea is that: - you can add music releases (albums, EPs, singles, mixes) in three lists: Want to Listen, Listened, Digged. You can also use tags and notes to better organize these lists. - you get a public…
2022 · digs.fm
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Use Spotify? This tool will automate your music discovery for you. Join here (100% perpetually free with no strings attached): https://brew.fm Some time ago, I built and showed HN[1] brew.fm, a tool helping artists remix each other’s work. It had been quiet, and I remembered how fun it was to work with the Spotify API, so I repurposed the tool to solve one of my own problems: missing out on new music of my favorite artists. I shared it on Reddit yesterday[2], and this seems to hit a spot for more people: so far 833 people connected their Spotify account. How it works: The tool…
2022 · brew.fm
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2022 · playlists.dags.dev
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I use soundcloud.com for listening to new music. There are lot's of producers sharing their music & it's a great site. They have an API which I used to mine the relationships between users (who follows who) and so by using a PageRank style algorithm (UserRank) I scored each user in terms of how influential they are. I then used this to chart the 100 hottest tracks on soundcloud each month (based on an aggregate score of who created, favourited and commented on a track). You can play each of the tracks directly from the page, either sequentially or randomly, so it's like a single page…
2011
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