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CamelLayer

Write AI prompts in your language. Start saving tokens.

Developer Tools
Artificial Intelligence
Development Language
Visit WebsiteSee on Product HuntTwitter

Hunted byHasan TatarHasan Tatar

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.

Top comment

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.

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About CamelLayer on Product Hunt

Write AI prompts in your language. Start saving tokens.

CamelLayer was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #143 on the daily leaderboard. 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.

CamelLayer was featured in Developer Tools (511.7k followers), Artificial Intelligence (467.3k followers) and Development Language (1.7k followers) on Product Hunt. Together, these topics include over 157.2k products, making this a competitive space to launch in.

Who hunted CamelLayer?

CamelLayer was hunted by Hasan Tatar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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