How I cut my Cursor/Claude token usage by 90% with a custom "Dehydrator" tool matrix 🛡️

Hey fellow AI-native devs! 👋

Lately, I’ve been feeling the pain of "Context Window Full" and escalating API bills while using Cursor and Claude Code. I realized 80% of what we feed into the AI is just "Token Slop"—massive JSDocs, redundant logs, and implementation fluff that the LLM doesn't actually need to "see" to understand the core logic.

So, I built TokenCount (and the JustinXai Matrix). It's a suite of local-first tools designed to "dehydrate" your codebase before the AI reads it.

⚡ The "Wow" Moment:

I ran this on a heavy React component today:

• Before: 1,248 tokens (Bloated with boilerplate)
• After: 12 tokens (Pure semantic skeleton)
• Total Saved: 92% reduction 🤯

🛠️ What’s in the Matrix?

1. CLI (@xdongzi/ai-context-bundler): Dehydrate entire repos in seconds.
2. VSCode Extension: A live token skimmer in your sidebar.
3. MDC Generator: Instantly generate structured .cursorrules from snippets.

🛡️ 100% Local & Privacy-First

Everything runs on your machine. No servers, no tracking, just efficient context.

I’m launching this project TODAY on Product Hunt! 🚀
To celebrate, the Pro Pass is currently 50% OFF! for early birds.

Support us on Product Hunt (Launching in 4 hours!):
👉 https://www.producthunt.com/products/tokencount-context-bundler

I'd love to hear how you manage your context bloat. What’s your record for saving tokens? Let me know in the comments!