MarginDash – See which AI customers are profitable
Real per-customer margin tracking when every founder has this exact blind spot.

Plugs the gap between Stripe and OpenAI bills—finally see which customers are actually profitable.
SaaS founders and engineers using AI APIs with multiple customer tiers
Stripe Cost Analyzer · OpenAI usage dashboard (built-in, but no revenue mapping)
A cost simulator lets you pick any feature, swap the underlying model, and see projected savings. Models are ranked by intelligence-per-dollar using public benchmarks (MMLU-Pro, GPQA, AIME) so you can find cheaper options that aren't actually worse. Budget alerts email you before a customer or feature blows past a threshold.
The pricing database covers 100+ models across OpenAI, Anthropic, Google, AWS Bedrock, Azure, and Groq with daily updates — so cost calculations stay accurate without you maintaining a spreadsheet. The SDK only sends model name, token counts, and customer ID. No prompts, no responses.
Solo founder, built the whole thing for $239.72 in AI costs (wrote about that too). Currently free while I get feedback — would love to hear what you think, especially about the cost simulator.
Real per-customer margin tracking when every founder has this exact blind spot.
SDK blocks over-budget calls without proxying traffic through their servers.
Finally tracks silent AI struggle per account, solving the blind spot in Amplitude and Datadog.
No-SDK agent tracking: paste a prompt, get a live public status URL.
Tracks which dev tools AI agents actually choose across thousands of prompts.
Git blame for AI code using git notes—no server, works offline.