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Vibeset: AI Music Discovery

Built an AI system that matches music to astrological vibes, moods, and energy patterns. Uses LLMs to generate music archetypes and real-time web search for discovery.

The Vibe

Vibeset is an AI-powered music discovery platform that goes beyond genres. It understands energy—matching tracks to your birth chart, current mood, or the vibe you’re chasing.

What I Built

The Intelligence Layer

  • LLM-Powered Archetype Generation: Uses Mistral and GPT models to translate astrological patterns into musical characteristics
  • Real-Time Discovery: Perplexity Sonar API for live web search of new releases matching generated archetypes
  • Hybrid Retrieval: Combines semantic search with audio fingerprinting for intelligent recommendations

The Stack

  • Backend: Python, AWS Lambda, DynamoDB
  • AI: Mistral Small 2503, GPT-4.1, Perplexity Sonar Pro
  • Frontend: Streamlit (prototype), Next.js (production)
  • Infrastructure: Serverless architecture with 99.9% uptime

The Challenge

Traditional music recommendation looks at what you played. I wanted to predict what you need—based on cosmic patterns, time of day, and emotional state.

Music discovery should feel like magic, not an algorithm.
The Vision

Results

  • 10K+ archetype generations in first month
  • Sub-2s response time for personalized recommendations
  • Zero hallucinated tracks through validation pipeline

This is my flagship project—the system that taught me how to build AI that understands vibes.

Inside the Workshop

Seven specialized AI modules. Each one does something different.

See all 7 studios