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CamelLayer
Write AI prompts in your language. Start saving tokens.
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.
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.
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.
On the analytics side, CamelLayer competes within Developer Tools, Artificial Intelligence and Development Language — topics that collectively have 980.8k followers on Product Hunt. The dashboard above tracks how CamelLayer performed against the three products that launched closest to it on the same day.
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.
For a complete overview of CamelLayer including community comment highlights and product details, visit the product overview.
Hasan Tatar