MyFavoriteBands
A music-driven social network that lets users discover, track, and share their favorite artists. Built from concept to 363K+ indexed artists in 12 weeks.
The Challenge
Build a social platform that aggregates music artist data from multiple sources, provides personalized recommendations, and handles hundreds of thousands of records with sub-second response times — all within a 12-week timeline.
Our Approach
Architecture-First Design
We started with a 2-week discovery sprint to define the data model, API contracts, and deployment strategy before writing production code. This front-loaded investment saved weeks of refactoring later.
AI-Accelerated Development
Leveraged AI-assisted development workflows (Cursor, Claude) to accelerate boilerplate generation, data pipeline development, and testing — enabling a senior engineer to ship at 2-3x normal velocity.
Performance-Obsessed Backend
FastAPI with async MongoDB queries, strategic indexing, and edge caching deliver sub-100ms responses even with 363K+ records. The architecture scales to millions without redesign.
Technical Stack
Results
- 363,793 artist profiles indexed and searchable at launch
- Sub-100ms average page load time across all routes
- Production-deployed with full CI/CD in 12 weeks
- Scalable architecture ready for millions of users
- Investor-ready demo with comprehensive documentation
Need to build something like this?
We specialize in taking products from idea to production in 8-12 weeks. Let's discuss your project.
Start a Project