LLM Speed Test Tool

Users can't easily compare LLM performance across different providers (OpenAI, Claude, Gemini, etc.). Build a Fast.com-style tool that benchmarks response time, token throughput, and latency for different models and providers. Target: developers, AI product teams, and researchers.

LLM API performance varies dramatically by model, region, and time of day, and as teams move from prototyping to production they increasingly need this data to make provider decisions — the pain is real and growing alongside enterprise AI adoption. Artificial Analysis already does this reasonably well, which is the biggest competitive threat; a new entrant needs a sharper angle, whether that's real-time monitoring, private deployment testing, or deeper per-region breakdowns. The $500–3k/mo ceiling is believable but modest — this is inherently a freemium or low-ARPU tool, and monetizing beyond a hobbyist side income requires either a paid API tier, enterprise contracts for private infrastructure testing, or bundling into a broader devtools suite. The most likely failure mode is Artificial Analysis expanding coverage and remaining free, making differentiation nearly impossible without a defensible distribution channel or a meaningfully distinct use case.