Show HN: AI Cost Board – Track LLM Cost, Requests, and Errors Across Providers (aicostboard.com)
Hi HN,
I just launched AI Cost Board, a small project I built to make multi-provider AI usage easier to operate in production.
It gives you a unified dashboard for:
total spend token usage request volume latency and error rates What it enables:
one proxy layer for multiple providers request logs for debugging and visibility budgets + alerts for cost control workspace/project structure for teams pricing + subscription flow for Free/Pro plans The goal is simple: make AI costs and performance observable in real time, without stitching together multiple tools.
I’d really appreciate feedback on:
product usefulness onboarding flow pricing model missing features you’d expect for production use Thanks for checking it out.
1 comment
[ 0.51 ms ] story [ 13.0 ms ] threadWe have found that the natural next step after tracking is automated routing. Once you see that 70% of your frontier model calls could have been handled by something much cheaper, you want a system that does that automatically.
At Komilion we route each API call to the cheapest model that fits based on benchmarks. The combination of monitoring (like this) + routing gives you both visibility and automatic savings.
One thing I would suggest adding: cost-per-quality metrics. Raw cost is not the full picture — $0.80/M tokens that fails 20% of the time is more expensive than $2/M tokens that works reliably.