AtlasBurn
Most AI startups don't die because of bad ideas.
They die because they underestimate cost acceleration.
Revenue grows linearly.
API usage grows exponentially.
Margins compress quietly.
And by the time the invoice hits — it's already too late.
I started AtlasBurn after noticing a pattern across AI-native builders:
Everyone tracks revenue obsessively.
Almost no one models cost under stress.
Retry storms.
Model overkill.
Growth spikes.
Usage volatility.
All invisible — until they aren't.
AtlasBurn is built around one thesis:
AI cost is not an accounting problem.
It's a probabilistic risk problem.
Instead of telling you what you spent,
AtlasBurn models what happens next.
What if usage doubles?
What if model pricing shifts?
What if user behavior changes?
What happens to your runway under P50, P75, P90 growth curves?
We're not a financial institution.
We don't guarantee outcomes.
We provide clarity before compression.
The first version of AtlasBurn is advisory — a survival layer for AI-native founders.
Over time, we aim to build deeper infrastructure-grade cost intelligence.
If you're building with APIs as your backbone,
you don't just need monitoring.