Menu bar habit coach · Made for macOS

Notice nail-biting the moment it happens.

NailBiteMenu keeps a quiet eye on your webcam feed, detects nail-biting entirely on-device, and nudges you with gentle overlays and stats you can trust.

  • No accounts, no cloud, 100% local processing
  • Built-in stats to track habits over time
  • Single menu bar icon with quick controls

Real-time confidence

Detection threshold 60% Balanced · Recommended

Model: 512 px, Best accuracy

Monitoring: Live

Alerts: Overlay + Notification

Why NailBiteMenu

Everything you need to stay mindful.

Each release bundles optimized Core ML models so you can pick the right balance of accuracy and efficiency for your Mac, without sharing a single frame outside your device.

Private detection

Frames are processed locally with Core ML. Camera access stays in the app and never touches a server.

  • Runs entirely offline
  • Permissions requested once
  • No analytics or trackers

Gentle coaching

Overlays give you a quick "Stay mindful" reminder, paired with an optional macOS notification and sound.

  • Three second overlay timer
  • Dismiss via Enter or click
  • Notifications respect system focus

Actionable stats

The built-in Statistics view breaks down detections by day, weekday, and hour so you can spot trends fast.

  • Last 7 / 30 / 90 days
  • Daily averages & streaks
  • Reset data whenever you want

Installation

Ready in three steps.

Download, drag into Applications, and allow camera access when prompted. That's it.

  1. 1
    Download the latest DMG

    Grab NailBiteMenu.dmg, then double-click to mount.

  2. 2
    Drag into Applications

    Drop NailBiteMenu.app into Applications. On first launch, approve under System Settings → Privacy & Security → Open Anyway.

  3. 3
    Pin it to the menu bar

    Start the app. If the icon hides behind the chevron (⌃), drag it out from Control Center to keep it visible.

Controls

All controls live inside the status popover.

  • Start or pause monitoring with one click.
  • Adjust detection threshold for sensitivity.
  • Select model size: 224 px, 384 px, 512 px.
  • Toggle alerts, debug stats, and auto-overlay.

Home window

Quick actions when launching from Finder.

  • Jump into detailed Settings.
  • Collapse to menu bar while monitoring continues.
  • See live status and last detection at a glance.

Threshold presets

Preset Behavior
Low · 45% Ultra sensitive, great for darker rooms.
Balanced · 60% Default for most lighting setups.
High · 75%+ Only fires on strong evidence.

Model sizes

Model Best for
224 px Intel Macs · lowest power draw
384 px Balanced mix of speed + accuracy
512 px Apple Silicon · maximum precision

Alerts

Stay mindful with overlays & sound cues.

When a detection fires, you'll see a compact overlay with a countdown and "Stay mindful" action. It dismisses automatically after three seconds or immediately when you press Enter.

  • Optional macOS notification with sound.
  • Respect Focus filters and Do Not Disturb.
  • Mute alerts or overlay separately in Settings.

Privacy

On-device by design.

NailBiteMenu never uploads video, detections, or statistics. Everything stays local in your user Library, and you can wipe stats anytime from Settings → Data → Reset Tracking.

  • Camera feed processed in memory.
  • No background network requests.
  • Source available on GitHub.

Screenshots

See NailBiteMenu in action.

The app ships with a home window, compact menu controls, and deep habit insights.

NailBiteMenu Statistics view highlighting charts by day, weekday, and hour
Statistics dashboard: visualize detections by day, weekday, and hour.
NailBiteMenu Home window showing quick actions and live status
Home window: launch quick actions & see live status at a glance.
NailBiteMenu menu bar popover with threshold, model size, and alert toggles
Menu bar popover: start/pause monitoring, tune models, toggle alerts.

Requirements

Works on all Macs.

macOS 15.6+

Optimized for Sequoia with menu bar controls and notifications.

Camera access

Approve the camera prompt once; revoke anytime under Privacy settings.

Apple Silicon ready

Runs great on M-series chips, with lighter 224 px model for Intel fans.