Context Grip: Web tool to slice codebase clutter & save 50%+ on LLM tokens

Hey Hunters! 👋 I built ContextGrip because I hit an absolute roadblock with my own workflow: my codebases kept getting larger, and my LLM token counts were going through the roof. Like a lot of you, I relied on dumping raw directory trees or entire source files into Claude or ChatGPT just to give the model context for a minor feature change. The result? The models immediately started running into context blindness, triggering massive hallucinations, and bleeding my API token budget dry just to ingest the exact same boilerplate code over and over again. I wou Text-stuffing and fuzzy regex dumps just don't cut it for complex repositories. ContextGrip solves this by shifting the heavy lifting completely locally on your device. Instead of passing unoptimized strings, you drag & drop your repository folder into a clean web interface that natively parses the code using Abstract Syntax Trees (AST). It surgically slices out the heavy implementation noise and bloated function bodies while perfectly preserving the structural definitions, interfaces, and signatures. The result? You feed your AI the exact precise structural context it requires, stop hallucinations, and routinely slash your prompt context payloads by 50% to 60% before the text ever leaves your machine. ✨ Why it fits your workflow: AST-Driven Slicing: Keeps your structural definitions intact while dropping code clutter. 100% On-Device Privacy: Runs completely locally in your browser. Your proprietary source code never hits a third-party server for preprocessing. Zero Terminal Friction: No complex CLI environments or environment variables to configure—just drag, drop, slice, and prompt. I’m officially launching a Lifetime Access License today on Polar for a flat $29. But to thank the Product Hunt community for checking it out on day one, use the coupon code LAUNCH24 at checkout to get $5 off your license today! I’ll be hanging out in the comments all day to answer technical questions about our AST parsing rules or workflow optimization. Let's grip that context window.