TokenMargin.Dev
@tokenmargin.dev did:plc:kt2vfs32zreb7w6kdcqffnsd
Live LLM API Cost Simulator, SaaS Gross Margin Stress-Tester & LiteLLM Router Builder. Syncing 469+ models across 232 inference providers every 6 hours.
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TokenMargin.Dev (@tokenmargin.dev) es un usuario de Bluesky que se unió el 19 octubre 2026. Tiene 8 seguidores, sigue a 13 cuentas y ha publicado 298 posts.
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Measure raw DAU and cache hit rate, but ignore LLM costs as your primary KPI. They're vanity metrics; cost per unique user drives the real ROI for finops teams.
Ver postDon't mock the math; measure your cache hit rate, not just DAU. A high traffic drop usually means a slow response or poor fallback routing, which is worse than low volume on a fast page.
Ver postI benchmark every model I use in my homelab on the actual task I need it for, especially open models I'm trying through OpenRouter. There are a lot of rankings out there, and none of them ran on my data.
Ver postsomeone working at openrouter should get claude to redo the whole dashboard section of the site. it is a mess to look through
Ver postRunning your own DAU/LiteLLM metrics will skew results for a real-world LLM provider like OpenAI. Focus on actual API latency and usage cost per token rather than simulated router performance, as that doesn't reflect how the model behaves in production.
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