kami 5a019bd35c perf(vibe): stop building a plasma and reading the library on a phone
Two things made the Vibe page crawl on mobile.

The ambient aura pushed three counter-rotating layers through an SVG
turbulence and displacement pass whose noise field was animated in SMIL.
SVG filters rasterise on the CPU, so that regenerated the whole field
every frame, under a blur, across a 420x380 element. Below the
breakpoint the filter is no longer mounted and the layers churn behind a
plain blur instead. A phone gets the motion, not the noise pass.

The start screen read all 5,000 tracks to show fifty of them. The sample
is now drawn in the database, which keeps Surprise me uniform over the
whole library while sending only what is on screen.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KENqSChfyqWnor6ud2WWH6
2026-08-10 14:00:19 +04:00

muzick

A high-performance, distributed music orchestration and recommendation platform.

Overview

muzick is designed to manage a local music library while providing an "infinite vibe" listening experience. It bridges the gap between a local filesystem and advanced discovery engines through a tiered recommendation architecture.

Tech Stack

Frontend

  • Framework: React
  • Routing: TanStack Router
  • Data Fetching: TanStack Query (with Look-ahead Buffering)
  • State Management: Zustand (for Session/Vibe state)
  • Styling: CSS Variables (Customizable Themes)

Backend

  • Runtime: Node.js / TypeScript
  • Framework: Fastify
  • Task Queue: BullMQ (via Redis)
  • Search: Typesense

Infrastructure & Data

  • Database: PostgreSQL (Source of truth for metadata, relationships, and session state)
  • Cache/Queue: Redis
  • Audio Analysis: Essentia (via Worker processes)
  • External Metadata: MusicBrainz, Discogs, LRCLib, Cover Art Archive

Core Concepts

  • The Rolling Vibe: A continuous, evolving stream of music that uses a "Rolling Window" of tracks. It interleaves owned library tracks with high-probability "probation" tracks (external discoveries).
  • The Dislike Lifecycle: A multi-stage state machine that protects users from accidental deletions while ensuring the library stays clean.
  • Tiered Similarity: Instant metadata-based matches, followed by deep audio-feature similarity.

Getting Started

Prerequisites

  • Docker & Docker Compose

Running Locally

Vibe uses the same per-user identity convention as the rest of the API: x-user-id when supplied, otherwise the local default user. Each user's Vibe session and listening history are isolated from other users.

docker-compose up -d
S
Description
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