WhatA system-detecting tool that automatically inventories your hardware and tells you exactly which AI models you can run locally, at what quality, and what performance to expect.
SignalPeople are excited about running AI locally but frustrated by the gap between model requirements and their actual hardware — they want a simple answer to 'what can my machine handle' without trial and error.
Why NowThe explosion of open-weight models (Llama, Qwen, Mistral, Gemma) combined with consumer hardware finally being powerful enough to run meaningful models has created a mass market of non-expert users who need guidance.
MarketProsumers and developers running local AI — tens of millions of potential users; monetize via hardware affiliate partnerships (GPU/Mac recommendations) and premium features; competes with fragmented CLI tools like llmfit but no dominant player exists.
MoatContinuous benchmarking dataset across hardware/model combinations creates a proprietary performance database that compounds over time and is expensive to replicate.
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