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VibeContext

Transform any local folder into LLM-ready Markdown

Stop wasting Claude 3.5's context window. VibeContext transforms your local repo into a token-optimized Markdown. It strips out noise (node_modules, lockfiles) and adds a structural ASCII tree so the AI understands your architecture instantly without re-scanning everything. • Token Economy: Precise estimation before you copy. • Privacy: 100% local (File System Access API). • Efficiency: Zero setup. Optimize your coding.

Top comment

Hello Product Hunt! 👋 I’m Noah, the creator of VibeContext. Like many of you, I’ve fully embraced coding with AI with Claude 3.5 or other LLM. But I quickly hit a wall: I was wasting way too much time cherry-picking files and, more importantly, burning through thousands of tokens by sending "noise" (lockfiles, dist folders, etc.) that confused the AI. The Problem: Existing tools are either CLI-heavy (hard to setup) or Cloud-based (risky for your source code). The VibeContext Solution: I built this tool with a "Browser-Only" approach using the File System Access API. 0% Cloud: Your files never leave your machine. It’s 100% local, 100% private. Token Efficiency: It generates a clean ASCII tree and strips out the junk so the AI understands your project architecture instantly without re-scanning everything. Better context = smarter answers + lower costs. Zero Setup: No npm install, no account required. Just open the URL, select your folder, and get back to coding. I’m launching this as an independent dev, and I’d love to get your feedback! I'll be rolling out a page soon so you can sign up and get notified of the launch before the actual launch on April 22! I'll be here all day to answer your questions! 👇

About VibeContext on Product Hunt

Transform any local folder into LLM-ready Markdown

VibeContext was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #138 on the daily leaderboard. Stop wasting Claude 3.5's context window. VibeContext transforms your local repo into a token-optimized Markdown. It strips out noise (node_modules, lockfiles) and adds a structural ASCII tree so the AI understands your architecture instantly without re-scanning everything. • Token Economy: Precise estimation before you copy. • Privacy: 100% local (File System Access API). • Efficiency: Zero setup. Optimize your coding.

On the analytics side, VibeContext competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how VibeContext performed against the three products that launched closest to it on the same day.

Who hunted VibeContext?

VibeContext was hunted by Noah. 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 VibeContext including community comment highlights and product details, visit the product overview.