Viewing profile — opsmeter

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Hi HN, I’m building Opsmeter, a tool to understand and control AI costs in LLM applications. A problem I kept seeing is that most teams only notice AI cost issues when the invoice …

Usage-based AI needs the same safety engineering as any “expensive actuator”: rate limits, quotas, and automatic shutdown thresholds. Otherwise a leaked key becomes an unbounded li…

This reads like an “incident without guardrails”: per-project caps/quotas, anomaly alerts (minutes), env-split keys, and an automated kill-switch should be defaults for usage-based…

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Nice — those two features tend to unlock the “why” behind drift. One thing we found especially useful was pairing cost/outcome alerts with a root-cause slice: when slope jumps, imm…

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“Cost per outcome” is the metric most teams actually need. In prod we saw totals look fine while cost/outcome drifted due to retries + fallback paths + context creep. Are you plann…

This is exactly the pain point with agents: spend isn’t linear because fanout + retries compound. One thing that helped us debug/contain spikes is tracking cost per “user-action/ou…

One thing that surprised our team: cost isn’t just “more usage” — retries and context creep can multiply spend with the same user behavior. We now track cost/request and cost per u…

Hi HN — I built Opsmeter, a lightweight LLM telemetry tool focused on cost attribution + budget control. Provider dashboards mostly show totals. Opsmeter shows what caused the bill…