CapMeter
Know when you're about to hit your Claude limit
What it does
Claude doesn't warn you before it stops. It just stops. CapMeter puts a live usage ring in your menu bar and turns your burn rate into a countdown: "limit in ~1h 18m." You wrap up before the wall, not after. → Alerts to macOS, Slack, Discord or any webhook → Session, weekly and per-model limits, counting down → Floating widget with your $/hr credit burn → 90-day history, CSV export → No API key, no account, no server, no analytics 14 days free, then $14.99 once. Not affiliated with Anthropic.
Does the same job
all alternatives →
- CMClaude Meter – macOS menu bar app to track your Claude Code usage limitFeb 2026 · github.com · ▲9
Hey HN! I built a native macOS menu bar app that shows your Claude Code usage limits at a glance — no more getting rate-limited mid-flow. It reads your OAuth token from macOS Keychain, polls the Anthropic usage API, and displays your 5-hour and 7-day utilization as a clean progress bar right in your menu bar. Zero token consumption. Built with Swift + SwiftUI. MIT licensed. https://github.com/puq-ai/claude-meter
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 9d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com