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Show HN: RTK – Wrap your CLI commands, save 60-90% of tokens in AI coding agents

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4 points by patrick4urcloud a month ago · 4 comments

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patrick4urcloudOP a month ago

I use Claude Code all day and got tired of watching it eat tokens on noisy CLI output. git status on a big repo, find across a project, cargo test with 200 lines of compilation — none of that noise is useful to the model.

So I built RTK. It wraps commands and strips the junk before it reaches your context: rtk git status # instead of git status rtk find "*.rs" . # compact results rtk ls . # token-optimized tree rtk cargo test # just the test results

My rtk gain -q after 15 days of real usage: Total commands: 7,061 Input tokens: 29.3M Output tokens: 4.8M Tokens saved: 24.6M (83.7%)

Biggest surprise was rtk find — directory listings are insanely wasteful. Run rtk discover on your Claude Code session history to see how many tokens you've been wasting — that's what convinced me to actually build this. Rust, MIT licensed. Happy to hear what commands are the worst token offenders for you.

https://github.com/rtk-ai/rtk

FlorianBruniaux a month ago

Love this tool

RTK - 15-Day Summary (Jan 28 → Feb 11)

  - 7,081 commands intercepted, 24.6M chars saved out of 29.4M input → 83.6% average reduction
  - Peak efficiency: 96%+ on heavy implementation days (Feb 3-4, ~11.6M input on Feb 4 alone)
  - Busiest day: Feb 2 with 1,413 commands (but only 39% savings — likely many non-RTK commands)
  - Most productive week: Feb 2-8 → 4,916 cmds, 19.4M chars saved
  - This week trending lower (77.5% savings) — likely more complex pipes/unsupported commands
  - Bottom line: ~24M characters of context window saved in 2 weeks. That's significant token budget reclaimed.
gagaches a month ago

Still in discovery but for the moment, great tool. Hope to have the gain of Florian !!

But currently waiting for quota to reset .... Daaammmm

LivioGama a month ago

RTK Token Savings ════════════════════════════════════════

Total commands: 637

Input tokens: 6.3M

Output tokens: 1.3M

Tokens saved: 5.0M (79.3%)

Total exec time: 30m33s (avg 2.9s)

In 1 week. Numbers speak for themselves.

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