Open-source tracker for how AI models describe and recommend your brand
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A sourced ledger of what each AI company has spent versus what it has earned
It puts cumulative AI spend, revenue and annual burn for OpenAI, Anthropic and the hyperscalers side by side, each figure linked to a source you can check.
A single-page tracker that estimates, company by company, how much has gone into AI (capex or cumulative spend) against how much AI revenue has come back, plus the current yearly burn. It covers labs such as OpenAI, Anthropic, xAI, Mistral and Cohere alongside Microsoft, Google, Meta, Amazon and Oracle. Every number carries a citation, and a changelog notes when estimates are revised. Free, no account.
Open-source tracker for how AI models describe and recommend your brand
GPU specs and live rental prices from 24 clouds, side by side
Self-hosted tracking of how AI models describe your product
Where engineers publish the AI tools and workflows they actually use
A research workspace where the agent builds its own panes
How long until a local LLM machine pays for itself against API bills