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LeanCTX
Save 99% on AI coding tokens. One binary. Zero telemetry.
AI coding tools send raw, uncompressed context to LLMs — full file reads, verbose CLI output, repeated content. That's where your tokens go. LeanCTX intercepts everything between your AI tool and the LLM. It compresses file reads (10 modes, re-reads cost ~13 tokens), shell output (90+ patterns), and session context — automatically. 42 MCP tools. Works with Cursor, Claude Code, Copilot, Windsurf & 20+ more. Single Rust binary. Installs in 60 seconds. No account. No cloud. No telemetry. Ever.
Hey Product Hunt! 👋
I'm Yves, a developer from Switzerland. I built LeanCTX because I was burning through $200+/month on AI coding API costs — and couldn't figure out why.
When I finally looked at the token logs, I was stunned: my AI tools were reading the same files over and over, completely uncompressed. A 300-line TypeScript file costs ~2,000 tokens. Read it 15 times in a session? That's 30,000 tokens — for ONE file. Multiply by every git command, every directory listing, every shell output... a single coding session burns ~90,000 tokens on context alone.
So I built a fix. LeanCTX is a single Rust binary that sits transparently between your AI tool and the LLM. Three compression layers:
→ Shell Hook: 90+ CLI patterns (git, npm, cargo, docker, kubectl…) compressed before the output reaches the LLM. 60-95% savings.
→ Context Server: 42 MCP tools with smart caching, 10 read modes, delta updates, entropy filtering, and cross-session memory. Re-reads cost ~13 tokens instead of 2,000.
→ Intelligence Protocols: CEP, CCP, and TDD make the AI respond more efficiently too. 8-25% extra savings on top.
What makes it different from alternatives:
• Works with 24+ AI tools — not just one editor
• One-command setup: `lean-ctx setup` auto-detects everything
• tree-sitter AST parsing for 18 languages — not regex hacks
• Zero telemetry. No analytics. No network requests. Not now, not ever.
• Cross-session memory — your AI remembers context across chats
Install in 60 seconds:
curl -fsSL https://leanctx.com/install.sh | sh && lean-ctx setup
It's fully open source (Apache 2.0), free forever, no account required. I believe developer tools should respect your privacy and your wallet.
Check your actual savings with `lean-ctx gain` — most devs see 70-90% token reduction from day one.
Would love your feedback. Happy to answer any questions!
About LeanCTX on Product Hunt
“Save 99% on AI coding tokens. One binary. Zero telemetry.”
LeanCTX was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #149 on the daily leaderboard. AI coding tools send raw, uncompressed context to LLMs — full file reads, verbose CLI output, repeated content. That's where your tokens go. LeanCTX intercepts everything between your AI tool and the LLM. It compresses file reads (10 modes, re-reads cost ~13 tokens), shell output (90+ patterns), and session context — automatically. 42 MCP tools. Works with Cursor, Claude Code, Copilot, Windsurf & 20+ more. Single Rust binary. Installs in 60 seconds. No account. No cloud. No telemetry. Ever.
On the analytics side, LeanCTX competes within Software Engineering, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how LeanCTX performed against the three products that launched closest to it on the same day.
Who hunted LeanCTX?
LeanCTX was hunted by Yves. 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 LeanCTX including community comment highlights and product details, visit the product overview.
Yves