Show HN: Llmspeed – feel how fast a local LLM runs before you buy the hardware

llmspeed is a Hacker News Show HN project, an open-source web simulator that estimates how fast a local LLM would feel on a given device before purchase. Users browse by hardware (e.g., RTX 4090, Mac Studio, Strix Halo, CPU-only) and by model (e.g., Qwen, Gemma, GPT-OSS, DeepSeek). Per the source, estimates are for a short prompt on a single device; some numbers are measured from community benchmarks (r/LocalLLaMA, localscore.ai), while others are derived from similar setups or projected from specs. The tool requires JavaScript; code and data are on GitHub.

Why it matters

Helps prospective buyers gauge local inference performance across hardware and models before spending on expensive equipment, though it reflects a specific short-prompt scenario.

Read with care

Many figures are derived or projected rather than measured, and the source text does not state the methodology or accuracy of those projections; source claims not independently checked.