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TokenTrim Prompt System
Slash ChatGPT token waste & boost speed with prompts.
Stop bleeding tokens on bloated ChatGPT custom instructions. Overstuffed prompts waste millions of context tokens, slowing responses and causing instruction amnesia. TokenTrim is a systematic framework to ultra-compress prompts using structured YAML tags—slashing token consumption by up to 93% while boosting output speed and precision. Key Features: YAML Framework: Replace prompt fluff with dense, machine-readable tags. Modular Triggers: Switch AI roles instantly with single keyword tags.
I built this because I got tired of seeing my AI workflows slowed down and my context windows polluted by thousands of characters of bloated, polite custom instructions. We’ve all been in the "additive prompt" trap—thinking more words mean better AI output.
But with advanced models like GPT-4o, overstuffed prompts just cause latency, high API costs, and "instruction amnesia."
TokenTrim changes that by bringing "Subtractive Prompting" to your daily workflow. It slashes your token consumption by up to 93% using lightweight, structured YAML tags while making your AI responses lightning-fast and razor-sharp.
I’d love to hear how you currently structure your prompts, and I'm happy to answer any questions! 👇
About TokenTrim Prompt System on Product Hunt
“Slash ChatGPT token waste & boost speed with prompts.”
TokenTrim Prompt System was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #421 on the daily leaderboard. Stop bleeding tokens on bloated ChatGPT custom instructions. Overstuffed prompts waste millions of context tokens, slowing responses and causing instruction amnesia. TokenTrim is a systematic framework to ultra-compress prompts using structured YAML tags—slashing token consumption by up to 93% while boosting output speed and precision. Key Features: YAML Framework: Replace prompt fluff with dense, machine-readable tags. Modular Triggers: Switch AI roles instantly with single keyword tags.
On the analytics side, TokenTrim Prompt System competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how TokenTrim Prompt System performed against the three products that launched closest to it on the same day.
Who hunted TokenTrim Prompt System?
TokenTrim Prompt System was hunted by Miko Shiraka. 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 TokenTrim Prompt System including community comment highlights and product details, visit the product overview.
Miko Shiraka
Hi Product Hunt! 👋
I’m Shirakam, the creator of TokenTrim.
I built this because I got tired of seeing my AI workflows slowed down and my context windows polluted by thousands of characters of bloated, polite custom instructions. We’ve all been in the "additive prompt" trap—thinking more words mean better AI output.
But with advanced models like GPT-4o, overstuffed prompts just cause latency, high API costs, and "instruction amnesia."
TokenTrim changes that by bringing "Subtractive Prompting" to your daily workflow. It slashes your token consumption by up to 93% using lightweight, structured YAML tags while making your AI responses lightning-fast and razor-sharp.
I’d love to hear how you currently structure your prompts, and I'm happy to answer any questions! 👇