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Caveman

why use many token when few do trick

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One command wraps Claude Code, Codex, Hermes, and more with a local proxy that compresses logs, tool output, and files before every provider call. In a pinned 54-run benchmark: 33.2% fewer input tokens with 18/18 correctness checks. Caveman can also run any existing agent skill with ~70% fewer tokens by loading text as images. Built on an open-source ecosystem with 97K+ GitHub stars.

PH · launched Aug 13, 2026 · 160 upvotes (top 92%) · 0 views

Niche: llm optimization tools · 127 launches, 9 in the last 7 days ▲ +50% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project
  • Open Source
  • Developer Tools
  • Artificial Intelligence
  • GitHub

Visit website ↗ Source listing ↗

Could you build this?

Yes It acts as a local HTTP reverse proxy that intercepts outbound LLM requests, applies regex/heuristic token reduction or summarization algorithms to system prompts and tool logs, and forwards them.

Competitors

Other products that read as similar to this one : 345 launches clear the similarity bar, closest 8 shown.

Attention rank: #343 of 346 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 280 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.