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The Free Tool That Cuts Your Claude Code Bill by 90% Overnight

🚀 Headroom: Cut Your Claude Code Bill by 60-90%

The people with the smallest Claude Code bills aren't prompting better than you. They just slip one free tool in front of Claude that deletes the tokens they were never supposed to pay for.

That tool is Headroom — and this is everything you need to run it.

📌 Overview

💡 The core idea: every time you feed Claude a log, a file, or a database dump, half of it is junk the model doesn't need. And you're paying for every single token of it. Headroom sits in front of Claude and strips that junk out before it ever reaches the model.

🎯 The Problem It Kills

Here's what's quietly draining your budget:

Every token in that junk gets billed. Headroom removes it before it reaches Claude — so you get the same answers for a fraction of the tokens.

🛠️ Step-by-Step Setup

1️⃣ Open the Headroom repo

Head to the GitHub repository and find the install button on the README.

Repo: headroomlabs-ai/headroom

2️⃣ Copy the one-line install

The repo gives you a single install command. Copy it exactly.

3️⃣ Paste it into Claude Code

Drop the command straight into Claude Code and run it.

4️⃣ Let it sit in front of Claude

That's it. Headroom now intercepts everything you send and strips the junk automatically. No config, no code edits.

💡 You don't rewrite anything. Your workflow stays identical — the only thing that changes is your bill.
🧪 How to verify it's actually working
  • Run a task you'd normally run (feed it a log or large file).
  • Compare the token count reported before vs. after installing Headroom.
  • You should see a 60-90% drop on token-heavy inputs like logs and dumps.
  • Confirm the answer quality is unchanged — same output, fewer tokens.

📚 Prompt Library

Use these inside Claude Code once Headroom is running. They're built to lean on token-heavy inputs — exactly where the savings hit hardest.

🔍 Log Analysis

Analyze the attached log file. Identify the root cause of the failure,
list the exact timestamps and error codes involved, and give me a
step-by-step fix. Ignore repeated/duplicate lines — summarize them
as a count instead of restating each one.

🗂️ Large File Review

Review this file for bugs, performance issues, and risky patterns.
Return a prioritized list (Critical → Low), each with the line
reference, the problem, and a suggested fix. Skip style nitpicks
unless they affect correctness.

🗄️ Database Dump Summary

Given this database dump, describe the schema, flag any data-quality
issues (nulls, duplicates, inconsistent formats), and summarize the
key relationships between tables. Do not echo raw rows back — give me
insights, not a reprint of the data.
💎 Pro prompt: token-aware debugging
I'm debugging a production issue. I'll paste logs and a stack trace.
Before answering, extract only the lines relevant to the error path.
Then: (1) state the most likely root cause, (2) give the fix,
(3) list one prevention step. Keep the response under 300 words.

This pairs perfectly with Headroom — Headroom trims the input, this prompt trims the output. Double savings.

🧠 Pro Tips

⚡ Front-load your heaviest inputs

Route your logs, dumps, and giant files through Claude Code after Headroom is installed. That's where the 60-90% reduction actually shows up on the bill — small chat prompts barely move the needle.

📊 Track your before/after numbers

Screenshot your token usage the day before you install and the day after. The community has logged $700,000+ saved and 200 billion tokens cut — you'll want your own number to prove the swing.

🔁 Combine input + output trimming

Headroom shrinks what goes in. Add word limits and "summarize, don't restate" instructions to your prompts to shrink what comes out. Together they compound.

🧹 Clean inputs still help

Headroom does the heavy lifting, but if you can send one focused log instead of five sprawling ones, you stack savings on top of savings.

✅ Quick Recap

💡 If you're paying for Claude and not running this, you're lighting your money on fire. Install it once and let it work quietly in the background forever.