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ContextSniper
Smart task-driven LLM context optimizer
Contribute to egn-labs-dev/ContextSniper development by creating an account on GitStop dumping your entire codebase into Claude or ChatGPT. ContextSniper is a 100% local CLI tool that uses the BM25 algorithm and dependency graphs to extract ONLY the relevant files for your prompt. If the code exceeds your token budget, it automatically strips files down to class and method signatures. Save money, reduce API bills, and fix the "Lost in the Middle" effect in under 250ms.Hub.
Hey ProductHunt community! 👋
As a developer working with LLMs daily, I noticed a huge issue: dumping an entire repository into Claude or ChatGPT Canvas ruins the model's accuracy due to the 'Lost in the Middle' effect, and it completely drains your token budget.
Standard tools act like dumpsters — they just pack everything. I wanted a scalpel. That’s why I built ContextSniper. It runs 100% locally, parses your import chains to build a dependency graph, and uses BM25 scoring to extract only the files needed for your specific task (e.g., npx context-sniper "fix auth middleware").
If the code exceeds your budget, it automatically strips files down to class/method signatures so you never overflow your limits. It's fully open-source and ready to run via npm. Would love to hear your feedback!
About ContextSniper on Product Hunt
“Smart task-driven LLM context optimizer”
ContextSniper was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #16 on the daily leaderboard. Contribute to egn-labs-dev/ContextSniper development by creating an account on GitStop dumping your entire codebase into Claude or ChatGPT. ContextSniper is a 100% local CLI tool that uses the BM25 algorithm and dependency graphs to extract ONLY the relevant files for your prompt. If the code exceeds your token budget, it automatically strips files down to class and method signatures. Save money, reduce API bills, and fix the "Lost in the Middle" effect in under 250ms.Hub.
On the analytics side, ContextSniper competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how ContextSniper performed against the three products that launched closest to it on the same day.
Who hunted ContextSniper?
ContextSniper was hunted by EGN Labs. 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 ContextSniper including community comment highlights and product details, visit the product overview.
EGN Labs