Headroom, a macOS menu bar app, says it can reduce Claude Code token use by about 50% by trimming prompt bloat locally before requests reach Anthropic’s model. The company says prompts never leave the user’s machine, and it has launched pricing tiers for individual Claude users and teams.
Headroom has launched a macOS menu bar app that it says can cut Claude Code token usage by about half by cleaning up prompts before they reach Anthropic’s model.
According to the company, the app runs entirely on the user’s machine. It intercepts prompts locally, removes logs, boilerplate, repetitive text, and other “noise,” then forwards a smaller version to Claude Code.
This matters because Claude Code usage is limited by tokens, which are the chunks of text an AI model reads and generates. If a tool can remove unnecessary text before the model sees it, users may get more work done on the same paid plan.
“Local processing” means the prompts are handled on the user’s own computer instead of being sent to the vendor’s servers first. For people who care about privacy, cost, or both, that can be an important distinction.
If you run Claude Code in automation workflows, test whether prompt trimming can be inserted before the model call. Focus on removing repeated logs, long boilerplate, and irrelevant file dumps, since that is where Headroom says most token waste comes from.
For self-hosted agents, keep the pre-processing step local and make it optional per workflow so you can compare output before and after compression. Also track token counts alongside task success rates, because Headroom’s pitch depends on saving tokens without degrading results.
Headroom says the goal is to reduce token spend without changing how users work or affecting output quality. The company says prompts never touch its servers, and that the app keeps the local runtime clean without interfering with packages that projects depend on.
The product is positioned around Claude Code users who want to stretch the plan they already pay for. Headroom says its optimization can unlock about 2x as much Claude Code usage on the same Claude plan.
The company also published benchmark claims to back up the approach. In its materials, Headroom says it measured real workloads before and after compression, and compared outputs across tasks.
Among the examples it cites are HTML extraction on 181 real web pages from Scrapinghub, JSON retrieval in a needle-in-a-haystack test using 100 production logs, and QA accuracy on benchmarks such as SQuAD v2 and HotpotQA. Headroom says stripping HTML noise improved exact match by about 2% on those QA benchmarks.
It also says a multi-tool agent session on a memory leak task reached identical conclusions while using 61% fewer tokens. Headroom says those findings come from its open-source CLI benchmark suite.
The company is also promoting the app as a cost-saving tool. In its ROI calculator, Headroom gives an example of a user spending $1,000 per month on Claude and paying $120 per month for Headroom, which it says would yield about $1,000 in equivalent extra capacity and an 8x return on spend, based on roughly 2x token efficiency.
Pricing starts with a free tier for limited Claude usage, which includes savings stats and up to 25% of a user’s weekly limit. Paid plans add unlimited use for Claude Pro, tracking across devices, and email support, with separate tiers for Claude Max x5 and Claude Max x20 accounts.
Headroom also says teams can ask about shared controls, governance, and private deployment options. The desktop app is based on the open-source Headroom CLI project created by Tejas Chopra, and the company says Chopra endorsed and supported the desktop version.
The product is available on macOS, and Headroom says users can install the app, connect their account, and start using it in minutes.
