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Caveman is the optimization stack for AI agents. It observes real agent workloads, finds cost and performance inefficiencies, tests improvements, and safely deploys the ones that work.
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New accelerator entry · 2026-10-13 · the record
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Caveman is the optimization stack for AI agents. It observes real agent workloads, finds cost and performance inefficiencies, tests improvements, and safely deploys the ones that work.
Most-starred repository: agent-sdk — 6 stars, TypeScript.
Counted 2026-10-13 across repositories the account owns; forks are excluded.
Checked away from the directory entry. What is below does not come from the company's Y Combinator page.
Keep your coding agent. Add recoverable context compression, measure token usage, and find practical guides for reducing AI agent costs.
The title and description the site itself served, answering 200. Not a cached copy and not the company's directory entry — what was live when we asked.
No investor is drawn from a Form D — the form states how many invested and never who. The one investor on this graph is named because a batch has exactly one.
Example from a real report (our sample on Target): “Target eliminated approximately 1,800 corporate positions, with around 1,000 employees receiving layoff notices and the remainder accounted for by eliminating open roles.” Source: NBC News
A Full Report on Caveman: verified, sourced, every claim cited, ready in a few minutes. See pricing.
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Sourced from the company's Y Combinator directory entry, from the company's own site, read directly on 2026-10-13 (caveman.so), and from the public GitHub account that record links to (caveman-ai).
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https://mentionfox.com/funding/yc-caveman