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token-trim — Save AI Tokens
Trim unnecessary code, save AI tokens, and reduce API costs.
Trim unnecessary code before sending it to AI. Save LLM tokens, reduce API costs, and fit more useful code into the context window.
I built token-trim because I kept noticing how much unnecessary text can end up being sent to AI coding assistants — comments, docstrings, blank lines, and formatting that the AI often doesn't need.
Since LLMs process text as tokens, sending more unnecessary content means using more of your available context and, with paid APIs, potentially spending more.
So I built a small Python CLI that cleans up code and logs before sending them to an AI. It started as a simple experiment, but evolved into a proper open-source, non-profit tool with token counting, savings reports, clipboard support, and directory processing.
The goal is simple: help developers spend their AI tokens on the code that actually matters.
Would love to hear what you think, and what you'd add next.
About token-trim — Save AI Tokens on Product Hunt
“Trim unnecessary code, save AI tokens, and reduce API costs.”
token-trim — Save AI Tokens was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #147 on the daily leaderboard. Trim unnecessary code before sending it to AI. Save LLM tokens, reduce API costs, and fit more useful code into the context window.
On the analytics side, token-trim — Save AI Tokens competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how token-trim — Save AI Tokens performed against the three products that launched closest to it on the same day.
Who hunted token-trim — Save AI Tokens?
token-trim — Save AI Tokens was hunted by Paresh Nayak. 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 token-trim — Save AI Tokens including community comment highlights and product details, visit the product overview.
Paresh Nayak