AI · alternatives · 2026
24 alternatives to Momixa – Custom playlist mixes using machine learning
Momixa creates custom playlist mixes using machine learning technology. The service is designed for music listeners who want personalized playlists tailored to their preferences. It stands out by using artificial… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Momixa – Custom playlist mixes using machine learning launched in 2017; newer entries below may have overtaken it.
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Turn your most creative ideas into playlists
2024 · newsroom.spotify.com · its alternatives →
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Type a prompt and let AI build your playlist
2024 · newsroom.spotify.com · its alternatives →
- 4IT
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 · its alternatives →
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Personalized playlists for almost anything you can think of
2023 · newsroom.spotify.com · its alternatives →
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Suno.aifree tier▲503I turned my resume into a catchy pop song. Thought you'd all appreciate it. Worked directly on the Song Style prompt, which you can duplicate for your own fun catchy resume song. Just replace the lyrics!
2023 · suno.com · its alternatives →
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Amazing playlists curated by an artificial intelligent bot
2019 · apps.apple.com · its alternatives →
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Melody ML▲185Easily separate audio tracks using machine learning
2019 · melody.ml · its alternatives →
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Smart Mix. Beat-match playlists with transitions in one tap.
2020 · apps.apple.com · its alternatives →
- 14MMixlist▲33
built a web app that uses k-means clustering on artist genres (one or multiple) to automatically organize Spotify liked songs into playlists. clean UI. you might have to click refresh playlists couple of times to get what you want. comments are appreciated. thanks!
2025 · mixlist.org · its alternatives →
- 15FA
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 · its alternatives →
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LALAL.AI▲268Use AI to split any song into vocal and instrumental tracks
2020 · lalal.ai · its alternatives →
- 17WB
2012 · blog.beatmaticapp.com · its alternatives →
- 18IF
Hi HN, Last time I showed free-music-demixer, which people seemed to enjoy. It was a static website with a Javascript + WASM module to perform music demixing (or music source separation) using an AI model UMX-L (Open-Unmix) running client-side in the browser. Since then, I have overhauled the project and made several improvements: - The demixing/separation quality is higher now, since I implemented the missing post-processing step - Memory usage is lower now by performing a custom segmented inference with a streaming LSTM, which should allow larger tracks (or, dare I say,…
2023 · freemusicdemixer.com · its alternatives →
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PlaylistAI▲173Create Spotify and Apple Music playlists with AI
2023 · playlistai.app · its alternatives →
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- 21PM
2017 · blog.buildo.io · its alternatives →
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mixmello▲95Create remixed versions of your favourite Spotify playlists
2021 · mixmello.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →