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TokenCount Context Bundler
Save 90% AI tokens via Semantic Dehydration & .cursorrules
Stop paying for wasted tokens. ContextBundler "dehydrates" your entire repo into logic-aware AI context. It prunes JSDoc, logs, and boilerplate while keeping logic 100% readable for Cursor and Claude. Features built-incursorrules generation.
A few weeks ago, my Cursor/Claude bill hit triple digits. I realized 80% of what I was feeding the AI was just "token garbage"—massive JSDocs, redundant logs, and empty lines that the AI didn't actually need to "see" the logic.
So I built ContextBundler (and the TokenCount matrix).
Unlike simple file-mergers, it uses a Semantic Skimming algorithm. It prunes the implementation fluff but keeps the "logic map" intact, slashing token usage by up to 90% without breaking the AI's understanding.
What’s in the Matrix? ✅ CLI: npx @xdongzi/ai-context-bundler@latest . ✅ VSCode: Lives in your sidebar for instant skimming. ✅ Chrome: Grab clean Markdown from heavy docs (like react.dev).
🎁 LAUNCH GIFT: I’ve unlocked all Pro features for 50%OFF today to celebrate our launch!
I'd love to get your feedback: What’s the messiest repo you’ve tried to feed into an LLM? Let me know in the comments! 🛡️
Stop the subscription fatigue. 🛑 We are 100% local, no server costs, so we only charge a ONE-TIME $5 fee for the Pro Pass. Use code PH50SKELETON for 50% off during launch. Buy once, save tokens forever. 🛡️
About TokenCount Context Bundler on Product Hunt
“Save 90% AI tokens via Semantic Dehydration & .cursorrules”
TokenCount Context Bundler was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #41 on the daily leaderboard. Stop paying for wasted tokens. ContextBundler "dehydrates" your entire repo into logic-aware AI context. It prunes JSDoc, logs, and boilerplate while keeping logic 100% readable for Cursor and Claude. Features built-incursorrules generation.
TokenCount Context Bundler was featured in Developer Tools (511.7k followers) and Artificial Intelligence (467.3k followers) on Product Hunt. Together, these topics include over 156.9k products, making this a competitive space to launch in.
Who hunted TokenCount Context Bundler?
TokenCount Context Bundler was hunted by JustinX. 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.
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JustinX
Hey Product Hunt! 👋 I’m Justin, the maker behind JustinXai Labs.
A few weeks ago, my Cursor/Claude bill hit triple digits. I realized 80% of what I was feeding the AI was just "token garbage"—massive JSDocs, redundant logs, and empty lines that the AI didn't actually need to "see" the logic.
So I built ContextBundler (and the TokenCount matrix).
Unlike simple file-mergers, it uses a Semantic Skimming algorithm. It prunes the implementation fluff but keeps the "logic map" intact, slashing token usage by up to 90% without breaking the AI's understanding.
What’s in the Matrix?
✅ CLI: npx @xdongzi/ai-context-bundler@latest .
✅ VSCode: Lives in your sidebar for instant skimming.
✅ Chrome: Grab clean Markdown from heavy docs (like react.dev).
🎁 LAUNCH GIFT: I’ve unlocked all Pro features for 50%OFF today to celebrate our launch!
I'd love to get your feedback: What’s the messiest repo you’ve tried to feed into an LLM? Let me know in the comments! 🛡️