nnzen model catalog
A live LLM catalog that collects model data, normalizes it, and makes model comparison faster.
The backend keeps model data in one comparable shape.
The goal is to reduce manual research, not to make another static list.
Model data was scattered across sources, so pricing, context size, limits, and quality signals had to be checked by hand.
Built a FastAPI backend for OpenRouter ingest, normalized model cards, ranking context, and search/filters over one consistent shape.
Model research moved from tabs and notes into one searchable comparison surface.
- Built ingestion and normalization for model catalog data.
- Exposed search, filters, and comparison context for faster model selection.
- Kept the backend extensible for new model sources and ranking signals.
- Good data tools need boring normalization before they need a fancy UI.
- Decision speed matters more than showing every possible detail at once.
More projects
MCP core for an LLM assistant
Backend core for an LLM assistant with plugin execution, hot reload, tool chains, and explicit context handoff.
FastAPI backend performance cleanup
Optimization of a FastAPI API path: async I/O, connection reuse, Redis cache, request validation, metrics, and removal of serial bottlenecks.