Hey Product Hunt, I'm Akhil, and I've been building AtlasBurn. Every AI-native team I talked to had the same problem: their bill could tell them what they already spent, but nothing told them what they were about to spend as they scaled. You add 10k customers and inference cost doesn't grow 2x, it grows ~3x and nothing "broke" to cause it. You just find out from an invoice. AtlasBurn treats AI cost as a risk problem, not an accounting one. It ingests your LLM usage and forecasts your burn and runway probabilistically (a distribution, not a single number), attributes spend by model and feature so you know why it's moving, and enforces real-time budget guardrails at the edge that stop runaway agents and overruns before the next provider call. I'd love feedback from anyone running LLMs in production: what breaks your cost model as you scale, and what would you want a tool like this to catch? Thanks for checking it out.

AtlasBurn

Know what your AI will cost before the invoice does

Know what your AI will cost before the invoice does