Show HN: FiscaLLM:open-source per-user AI cost for subscription apps

Category: observability

Tags: ai-cost-tracking, subscription-analytics, usage-metering, llm-observability, revenue-analytics

Score: 6.8/10 (Innovation: 6, Technical: 6, Documentation: 8, Utility: 7)

FiscaLLM is an open-source tool that tracks per-user AI costs for subscription apps by instrumenting AI calls and joining token usage with revenue data. It provides dashboards, budgets, alerts, and spending caps, addressing a real gap in understanding unit economics for AI-powered products. The project offers SDKs in TypeScript and Python, along with self-hosting options.

Target audience: backend developers, devops, product managers

Repository: https://github.com/magna56/fiscallm · TypeScript · MIT

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