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Dev Tools

Open-Source Project Turns LLM Usage Data Into Smarter Model Routing

A new GitHub project aims to replicate OpenRouter's model-switching magic while using real usage patterns to improve routing decisions over time.

D
By David, AI Engineer · Aug 28, 2026

A developer team called Experiential Labs has released an open-source tool that functions like OpenRouter—the popular service that lets apps call different LLMs through one API—but with a twist: it's designed to learn from how it's actually used.

Instead of relying on static rules or manual configuration to decide which model handles a given request, the system aims to build a feedback loop, using real usage signals to refine routing choices and improve outcomes over time. The project launched on Show HN and quickly drew attention, racking up 88 points and a lively discussion thread about routing strategies and self-hosted LLM infrastructure.

Because it's open source, teams can self-host the router rather than depending on a third-party service, giving them more control over cost, latency, and data privacy while still getting multi-model flexibility.

Why it matters: Model routing has quietly become critical infrastructure as teams juggle dozens of LLMs with different costs and strengths. An open, self-improving router lowers the barrier to building resilient multi-model apps without vendor lock-in or sending usage data to a third party.

Sources: Hacker News

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