Launching today
PromptMetrics - EU LLM Observability
EU-Native LLM Observability. Stop Flying Blind on AI Spend.
26 followers
EU-Native LLM Observability. Stop Flying Blind on AI Spend.
26 followers
PromptMetrics is EU-native LLM observability, 100% Frankfurt-hosted for full GDPR and AI Act compliance πͺπΊ Track cost-per-feature with custom metadata tags. Catch runaway spending with anomaly detection. A/B test model switches with statistical confidence, not vibes. Drop-in Python and Node.js SDKs get you live in 15 minutes. Works with OpenAI, Anthropic, Bedrock, and more. See exactly which AI features generate revenue and which ones burn cash β‘







Hey Product Hunt! π
I built PromptMetrics because European AI teams face an impossible choice: use great observability tools and risk EU AI Act fines, or stay compliant and fly blind on costs.
So I built an LLM observability platform that's 100% hosted in Frankfurt. No data leaves the EU. Ever.
But compliance alone isn't enough. I kept hearing teams say, "We're spending thousands a month on AI but have no idea which features are actually worth it."
That's the real problem. So we built metadata tagging that lets you tag requests by feature, user tier, or experiment. Finally, see exactly which AI capabilities generate revenue and which ones are burning cash.
Here's what you get:
πͺπΊ Full EU hosting (Frankfurt, AWS eu-central-1) - GDPR and AI Act ready
π Cost-per-feature analytics - know your unit economics per AI feature
β‘ 15-minute integration - drop-in Python and Node.js SDKs
π¨ Anomaly detection - catch runaway costs before they hurt
π§ͺ Statistically rigorous A/B testing - prove cheaper models maintain quality with real confidence intervals, not vibes
π Launch special: 60-day free Pro trial for Product Hunt. No credit card needed.
What's your biggest blind spot in AI spend right now? π
Input-level risk scoring feels like a missing layer in current LLM stacks. Catching issues before execution is far more practical than downstream cleanup.
With the EU AI Act coming into force, many teams will struggle to demonstrate preventive controls. This seems aligned with what auditors will actually ask for.