LLM Unit-Economics Checkup

Show AI founders their real per-customer margin and cost drift

Problem

Indie AI builders can't see their true costs. One demo feels cheap, but a two-hour film becomes 260+ scenes, each needing CLIP embeddings, transcript anchors and vision re-ranking, so GPU time dwarfs the estimate. Others watch token costs and API prices shift monthly until a co-founder pulls the plug. What founders actually want is to know whether each paying customer is profitable this month.

Solution

A lightweight cost dashboard that ingests provider bills and usage, splits them by feature, customer and environment, then computes per-call cost, gross margin per user, and monthly trends. It alerts when a provider changes pricing or usage spikes, and models cost if you switch models.

Users

1-5 person AI product teams, indie hackers, builders of content-generation, support or shopping-assistant SaaS

MVP

Import provider bills via CSV or read-only API keys; tag and split usage by feature and customer; compute per-user gross margin and break-even; email alerts on price changes or usage spikes; one-page exportable monthly cost report

Revenue

Monthly subscription with a free tier limited to one project and 30 days of data; tier by number of providers or customers tracked; optional paid one-off cost audit

Why now

AI apps are now judged on gross margin, token prices move constantly, and indie builders carry cost risk without a finance team; enterprise FinOps tools are too heavy for solo developers