AlgoRythm

Musique

Uniquement pour iPhone

Gratuit · Achats intégrés · Conçue pour iPhone

iPhone

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.

  • Cette app n’a pas reçu suffisamment de notes ou d’avis pour en proposer un aperçu.

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.

Le développeur Alexander van Rie a indiqué que les pratiques de l’app en matière de confidentialité peuvent inclure le traitement des données tel que décrit ci‑dessous. Pour en savoir plus, consultez la politique de confidentialité du développeur .

  • Données non collectées

    Le développeur ne collecte aucune donnée avec cette app.

    Les pratiques en matière de confidentialité peuvent varier, notamment en fonction des fonctionnalités que vous utilisez ou de votre âge. En savoir plus

    Le développeur n’a pas encore indiqué quelles fonctionnalités d’accessibilité sont prises en charge par cette app. En savoir plus

    Fournisseur
    Alexander van Rie
    Taille
    12,1 Mo
    Catégorie
    Musique
    Compatibilité
    Nécessite iOS 26.0 ou version ultérieure.
    • iPhone
      Nécessite iOS 26.0 ou version ultérieure.
    • Mac
      Nécessite macOS 26.0 ou une version ultérieure et un Mac doté d’une puce Apple M1 ou une version ultérieure.
    • Apple Vision
      Nécessite visionOS 26.0 ou version ultérieure.
    Langues
    Français et 3 de plus
    • Français, Allemand, Anglais, Néerlandais
    Âge
    13+
    Achats intégrés
    Oui
    Copyright
    © 2026 Paddles and Pixels