WhatA lightweight service that lets individuals run a local LLM and securely share inference capacity across their own devices and small teams via overlay networks like Tailscale.
SignalMultiple users describe running models on personal machines and sharing access across their own devices via Tailscale or similar tools, but this requires manual server setup and lacks proper session management, access controls, or load balancing.
Why NowHigh-quality open models now fit on prosumer hardware, and overlay networks like Tailscale have made secure device-to-device connectivity trivial, but no product bridges these two for multi-device LLM serving.
MarketSolo developers and small teams (2-10 people) who own high-RAM machines; potentially millions of users; competes with OpenRouter and API providers on cost, with self-hosting on convenience.
MoatNetwork effects within teams once adopted, plus deep integration with specific inference backends and model-switching logic that accumulates optimization data.
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