Non-English developers pay up to 2x more tokens for AI coding tools — because tokenizers are optimized for English. CamelLayer fixes this. One install command adds a transparent optimization layer to Claude CLI, Gemini CLI, Codex CLI and Copilot CLI. It detects your language, strips filler, fixes typos and translates to token-efficient English. 27.5% average token savings across 1,600 benchmarked prompts. 524ms latency. Code blocks preserved. Pricing: Free tier: 200 req/12h. Pro: $7/mo.
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Maker
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Hey PH. I'm Hasan, the maker of CamelLayer.
I built this because I was frustrated paying nearly double for AI coding tools just because I think in Turkish. Turns out, non-English prompts use ~2x more tokens due to how tokenizers work. CamelLayer sits between you and your CLI tool, optimizing prompts before they reach the AI. No workflow changes — you type naturally, it handles the rest.
Curious to hear from other non-English developers: how do you handle this token overhead today? Would love your feedback.