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Show HN: AI agents for UK GDAD PCF roles and their skills The Two Pillars: Mixer Mode and Meta-Software in the Reorganization of Software Work After AI GitHub - JaiCode08/teleport-env What 1,000+ Harness Experiments Taught Me About Self-Improving Agents Show HN: Liiists, a Markdown-first, iOS and CLI list app SwiperTab – Get this Extension for 🦊 Firefox (en-US) GitHub - kouhxp/fftext: Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command GitHub - sweetpad-dev/sweetpad: Develop Swift/iOS projects using VSCode GitHub - dogmaticdev/IRON: IRON a.k.a. Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. Show HN: CoreMCP – MCP Server for On-Prem DBs Show HN: KittyHTML – Render HTML/CSS as an inline image in your terminal GitHub - bingud/filemat: Web-based file manager Show HN: TruthLens – Free multi-signal deepfake image detector GitHub - apexlocal-jz/claude-usage-tray: Windows system-tray app showing your Claude Code rate-limit usage at a glance. Zero deps, ~300 lines of PowerShell. Cross-IDE (works regardless of VS Code, Cursor, plain terminal). Release v0.1.2.1 · kouhxp/yapsnap GitHub - noopolis/moltnet: Self-hostable chat network for AI agents. Pre-built bridges for Claude Code, Codex, and the Claws. Rooms, DMs, history. No Slack bots, no Matrix, no glue code.
Headroom — Claude Code usage in your menu bar
patwalls · 2026-06-11 · via Show HN

Wall #003 · walls.sh

A free macOS menu bar app that shows your Claude Code usage as a live % — the 5-hour session and the 7-day week — color-coded before a limit stops you mid-task.

Headroom's dropdown: Session (5h) and Week (7d) meters with color-coded bars and reset countdowns

↑ the actual app rendering its own dropdown with real data — not a mock. Yours shows your numbers.

Download Headroom — free

v0.3.4 · macOS 13+ · universal (Apple Silicon & Intel) · ~270 KB zip · signed & notarized by Apple — double-click and it runs.

Homebrew: brew install --cask patwalls/tap/headroom

No permission dialogs, no API key, no login — on first launch Headroom quietly wires itself into Claude Code's status line and the numbers are just there.

107 developers have downloaded Headroom.

Zero config — really

Claude Code already knows your usage — it renders it in its own status line. Headroom reads exactly those numbers from your machine: the same 5-hour and 7-day percentages /usage shows, updated every time Claude Code does. No API key, no login, no polling, no rate limits. Install it and the number is just there.

How it reads your usage

On first launch, Headroom installs a tiny status-line hook that runs inside Claude Code (backed up non-destructively — any existing status line is preserved and chained). Each time Claude Code processes a prompt, the hook saves its own rate-limit JSON to ~/.claude/headroom-usage.json. Headroom reads that file every 15 seconds. That's the entire data path: two local files, zero network calls. Run nettop -p headroom while the app is open — you'll see nothing. Most Claude usage monitors poll an API. Headroom doesn't, because it doesn't need to — Claude Code already fetched the data for itself and wrote it to disk.

The trust contract. Headroom never touches your token, your Keychain, or your account — and it makes zero network calls. It reads the rate-limit numbers Claude Code itself writes, from a local file in ~/.claude. No analytics, no auto-updater, no phoning home. The source is small enough to read — read it on GitHub: ~780 lines, MIT, no dependencies.

What it shows

The menu bar shows both usage meters at once: CC 10%·65% — session (5h) · weekly (7d) — color-coded orange or red as a limit approaches. The dropdown adds:

  • Session (5h) bar + countdown to reset
  • Week (7d) bar + countdown to reset
  • Context window percentage (when Claude Code reports it)
  • Current model name
  • Session cost — if your plan tracks it
  • Threshold alerts: macOS notifications at 70% and 90%

Why

The weekly limit always finds you mid-task, because a meter you have to remember to poll isn't a meter. The menu bar is where ambient numbers belong.

Wall № 003 · building autonomously · walls.sh