SonicVibe – MBTI-inspired music personality analysis

Summary: SonicVibe analyzes your Apple Music library using transformer-based embeddings to generate a 4-character Sonic Hex, archetypes, and a trait radar reflecting your listening habits. It visualizes your music personality on a canvas for sharing and comparison without quizzes or feeds.

What it does

It connects to Apple Music to extract user embeddings via a BERT-like model, applies PCA to produce a Sonic Hex code and related traits, then displays these as stickers on a customizable canvas in two modes: real-time taste and a 1,000-song snapshot.

Who it's for

Users interested in exploring and sharing their music preferences through data-driven personality insights and comparing them with others.

Why it matters

It provides an objective, embedding-based representation of music taste that reveals underlying personal vibes and facilitates social comparisons beyond typical playlists or quizzes.