Local LLM hardware benchmarks with measured tokens per second from real home AI rigs
Compress prompts and reduce LLM API costs while preserving answers
Stage
Not given
Startup
Founded
Not given
2024
Based in
Not given
Not given
Pricing model
Free
Free
Pricing
Not given
Open beta: $0/month with unlimited API calls, all features, and no credit card required. After beta: a generous free tier and simple usage plans with early users keeping their perks.
Key features
172 real home AI builds with measured performance data
Performance metrics for 31 current LLM models
Search by GPU, VRAM, budget and target model
VRAM and KV cache calculator
All results linked to original public sources
Comparison guides and hardware recommendations
Compress long prompts, logs and documents by removing filler while preserving code, numbers and facts
Convert web pages to clean Markdown instead of raw HTML
Shrink JSON responses into TOON format with headers and CSV-like rows
Available as MCP server for Claude, Cursor, Windsurf and VS Code
Gateway integration for OpenAI and Anthropic SDKs
REST API for direct integration
Self-hosted or hosted gateway options
Dashboard showing token and cost savings
Works with any chat model including local models
Output modes to control answer verbosity: lite, caveman and ultra
What makes it different
Real measured performance data from 172 actual home AI rigs, not marketing claims
Every benchmark result linked to its original public source for verification
Open data under Creative Commons license
Practical guides for choosing AI hardware by budget and model
Rule-based compression takes milliseconds without using another LLM
Your API key never leaves your infrastructure when using self-hosted gateway
Streaming, tool calling and function calling work unchanged
Real-world savings up to 42% on monthly LLM bills according to calculator
RigBase
AgentReady