Same AI, fewer tokens. Free forever

What it does

Most AI prompts are full of filler. "In order to" is 4 tokens — "to" is 1. "Due to the fact that" is 6 tokens — "because" is 1. You're paying for words that add nothing. TokenShrink strips the fluff. Paste any prompt on the web, or npm install tokenshrink for your codebase. Every replacement is verified against GPT-4's tokenizer so it never increases your token count. 12-15% savings on typical system prompts. No AI calls. No API keys. No sign-up. Just cleaner prompts.

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  Compress GPT-4 Prompts2023 · promptreducer.com · ▲68

  Hey HN! I recently built Prompt Reducer, an app that makes it easier to compress GPT-4 prompts. The main goal is to reduce the number of tokens in each prompt, thereby reducing the cost of running GPT-4. I figured since @gfodor tweeted about compressing GPT-4. It’s still early, and it does not work perfectly, but I’d love to hear any feedback or suggestions for how to make it faster or more efficient.

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  TokenTrimSep 2026 · chromewebstore.google.com · ▲10

  Trim your AI prompts. Same answer, 40% fewer tokens.

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  TokenCrush2025 · tokencrush.ai · ▲11

  Thrive in a world of increasing LLM costs

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  Save AI Tokens with this one Website Apr 2026 · frukal.com

  Paste your prompt → optimize it → cut token cost instantly.

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  Self-extracting prompts for GPT-42023 · musings.yasyf.com · ▲13

  Use CompressGPT to reduce your GPT-4 token usage by ~70% in one line.

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  Ctx, save tokens by loading only the relevant toolsJun 2026 · github.com · ▲8

  Hi HN! Token cost has started to become a high topic of concern to all of us. I tried a few (awesome) tools such as rtk, caveman, and the recent (hillarious but effective) ponytail. What they usually do, is in-line token reduction, e.g. try to compress requests / responses as much as possible. But then it hit me (and I’m sure others had similar ideas) - just like we have routers that pick the right model, why not have something that will also narrow down the amount of available tools, skills and mcps based on repo/context? People usually accumulate skills, agents, MCP servers,…

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