Alternatives
Products that do what C-Sides does
"Escape mainstream algorithms, find real musical gems."
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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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2022 · playlists.dags.dev
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Hi all, I've spent some time working on music demixing or music source separation algorithms, which take in a mixed song and output estimates of isolated components (e.g. vocals, drums, bass, other). I took a popular PyTorch model with good performance (Open-Unmix, UMX-L weights), reimplemented the inference steps in C++, and compiled it to WebAssembly for a free client-side music demixer.
2023 · sevag.xyz
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2024 · tracklist.it
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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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