Train your Apple Music algorithm with Love and Suggest Less. See stats, liner notes and discovery playlists, and make beautiful grids from your listening history.
AlgoRythm is a high-precision dashboard for Apple Music listeners who want to understand and shape their own taste. It turns your play counts, ratings, and listening history into clear music stats, shareable album grids, and personalized Liner Notes. No passive feed. Just your data, explained.
TUNE YOUR RECOMMENDATIONS
Rate tracks, albums, and artists with Love or Suggest Less to send stronger signals to Apple Music. Surface the gems, skip the filler, and make your personalized mixes feel more like you.
PROTECT YOUR TASTE
Mark artists or albums as disliked to keep them out of your grids and personal reports. Great for keeping one-off listening, like children's music, from shaping your overall picture.
THE DAMAGE AND THE LINER NOTES
Dive into your listening stats. Track Rotation Weight, Skip Velocity, and deep-dive artist and album insights to see who dominates your airtime. Generate beautiful, shareable Liner Notes and high-fidelity album grids from your history.
CURATE YOUR DISCOVERY
Go Crate Digging or look Behind the Counter for daily music recommendations pulled from your deepest listening habits. Choose how often they appear: Daily, Weekly, Monthly, or a single growing Master playlist.
SYNC YOUR HISTORY
Connect your Apple Music library, and optionally link your Last.fm scrobble history to restore years of taste the native app has forgotten. PRIVACY BY DESIGN Your Apple Music data is processed on your device. No ads, no analytics, no required account. Only optional Last.fm scrobbling touches the cloud. One single purchase unlocks AlgoRythm Pro for life.
I too downloaded and purchased this after seeing the developer announce it on /r/AppleMusic. This app simply allows you to set either “Loved”, “Hated” or “Neutral” on any song, album or artist — immediately teaching the AM algorithm what you want to hear. This weekend, I turned on one of the Apple-built dynamic playlists, and let it play while going through my library, either providing approval or disapproval. Within the hour, I noticed the songs that Apple picked to play for me had begun to improve — I was skipping fewer songs and rating fewer tracks as undesirable. I’m super-excited to see what the roadmap has in store for this app. Some things I’d personally, selfishly like to see: - iPad Support- Expansion in the Discovery tab (more artists, more recommended tracks, etc.- Liner Note build out. - The app itself floating up songs for rating. Excellent app!!
Developer Response
Thanks so much for the amazing review and for coming over from Reddit! Hearing that your dynamic playlist improved within an hour is exactly why I built AlgoRythm. You have great timing with your wishlist. The 1.1 update is almost ready for roll out and actually tackles almost all of your requests! The Discovery tab now pulls more recommendations, and I've completely built out the Liner Notes to include album pages with a bunch of new stats. You can also now load your own library playlists into the app to quickly rate those tracks. iPad support is definitely on my radar for the future. Thanks again for the support!
amazing! one small bug
𝐌𝐨𝐫𝐢
hey i noticed this app on a reddit forum, and its improved my library already! the only thing is that artists of the same name will be grouped into liking or suggesting less. my favorite band “silk” is confused for an all men’s group “silk” for example. it would be nice to add them individually! i also noticed sometimes the song that should be there, isn’t. a song ive listened to 24 times an hour ago doesn’t show but a show i listened to 4 times 3 minutes ago does with more replay weight. incredible app otherwise!
Developer Response
Hey Mori, thanks so much for the detailed review and the kind words! Really glad it's already helping your library.You're absolutely right about the same-name artists. That's a genuine blind spot. When two artists share a name like "Silk", the system currently bundles them together because it keys preferences on the name rather than the Apple Music ID. I'm looking at adding disambiguation so you can rate each one individually.On the Rotation Weight, that skew toward recent plays is actually intentional. The idea is to surface what's currently on your mind, not just what's historically popular. I know it can feel weird when a 4x recent play outranks a 24x older one though, and am keeping an eye on how that feels in practice. Might tweak it down the road if it keeps catching people off guard.Thanks again for taking the time. This kind of feedback is genuinely super helpful.
DISCOVERY PLAYLISTS, YOUR WAY
Choose Daily, Weekly, Monthly, or a single ever-growing Master playlist for your recommendations.
Generation keeps running when you switch tabs or leave the app.
Pre-flight checks and atomic playlist creation mean fewer failed or empty playlists.
MORE LINER NOTES INSIGHTS (Pro)
Artist: Honeymoon Track, Slow Burner, Love-Hate Track, Deep Cut %, Comeback Track, Self-Penned %, Rated Masterpiece.
Album: Side A vs Side B, Front-Loader, Perfect Closer, Album Marathon, Disc Bias.
Every insight has its own toggle and can be tapped to open the album it came from.
Removed low-value insights based on sparse metadata.
ARTIST DISAMBIGUATION
Pick the correct Apple Music artist when a name matches the wrong catalog artist. Your choice is remembered.
PLAYLISTS
Faster loading with caching and retries.
Detail pages show the last modified date and an Open in Apple Music button.
DESIGN
Full Dynamic Type support, and titles can wrap to two lines.
Plus faster artwork downloads, more reliable discovery caching, no duplicate tracks across discovery routes, and better error messages throughout.
Version 1.2.0
The developer, Alexander van Rie, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .
Data Not Collected
The developer does not collect any data from this app.
Privacy practices may vary, for example, based on the features you use or your age. Learn More
Accessibility
The developer has not yet indicated which accessibility features this app supports. Learn More
Information
Seller
Alexander van Rie
Size
12.1 MB
Category
Music
Compatibility
Requires iOS 26.0 or later.
iPhone Requires iOS 26.0 or later.
Mac Requires macOS 26.0 or later and a Mac with Apple M1 chip or later.