The Challenge
The Music Marketplace Evolution Challenge
The music marketplace landscape was ripe for disruption, with fundamental inefficiencies affecting both creators and consumers across the entire ecosystem.
Vague Search, Lost Vibes
Existing platforms rely on simple tags and filters. An artist searching for a 'dark, cinematic, but hopeful' sound would get zero relevant results, as the platform couldn't understand musical context or emotion.
The 30-Day Payout Problem
Industry-standard platforms often hold creator funds for 30-90 days. For collaborative projects, manually splitting revenue is a complex, time-consuming process that stifles creativity.
A Clunky, Uninspired Workflow
Competitor platforms are visually dated and slow. With producers making 5-25 beats a day, a 2-3 minute upload process for each track becomes a significant daily bottleneck.
Market Opportunity
The Opportunity: Disrupt the music marketplace scene to set a new standard
The Solution
Efficiency Meets Elegance
Create the most streamlined music marketplace experience without sacrificing visual appeal
AI-Powered Contextual Discovery
Leveraged the CLAP model to generate 768-dimensional vector embeddings for every track, enabling search based on nuanced musical concepts and emotional context.
Automated, Instant Payouts for Collaborators
Engineered an automated system using Stripe Connect Express accounts. Revenue from a sale is instantly and accurately split and transferred to all collaborators, eliminating payout delays.
An Efficiency-First Creator Workflow
Designed a streamlined upload process that takes less than 30 seconds. By optimizing file handling and metadata processing, the platform respects the workflow of high-volume producers.
Design Philosophy
"The best technology disappears into seamless experiences. WavHaven's innovations work behind the scenes, allowing users to focus on what matters most - the music."
Interactive Demo
Experience the Difference
Experience the power of professional terrain generation through our browser-based 3D engine. This interactive demo showcases the same node-based workflows used in AAA game development.
AI Semantic Search
Search for 'dark cinematic vibes' and watch AI understand musical concepts
AI-Powered Semantic Search
Click these search suggestions to try AI-powered semantic search:
Search with custom keywords
Technical Implementation
Engineering Excellence
Modern architecture choices and performance optimizations that power the next generation music marketplace experience.
System Architecture
frontend
Next.js 14 with App Router, Zustand for global state, TypeScript throughout with strict mode
backend
Node.js serverless functions, PostgreSQL with Prisma ORM, Python Edge Functions for AI
database
PostgreSQL with pgvector extension for vector similarity search, Redis caching layer
payments
Stripe Connect Express accounts with atomic transaction processing and webhook handling
ai
CLAP model integration via Python Edge Functions, 768-dimensional semantic embeddings
Implementation Examples
Performance Achievements
AI Semantic Search Engine
CLAP model generates semantic embeddings with pgvector similarity search for intelligent discovery
Advanced Audio System
Memory-safe Howler.js integration with complex queue logic and real-time state synchronization
Marketplace Payment Processing
Atomic database transactions with Stripe Connect integration ensuring data consistency
Production-Grade Architecture
Type-safe server actions, comprehensive error handling, idempotent operations
Impact & Results
Measurable Success
Workflow Efficiency
Faster upload time (from 3 mins to <30s)
Creator Satisfaction
Overwhelmingly positive feedback from musicians on workflow efficiency
User Engagement
Increase in session duration
Payout Speed
Payouts reduced from industry-standard 30-90 days to seconds
User Feedback
What's Next
Ready to Explore More?
Each project tells a story of solving real problems with innovative technology.