GazeVeil
AirPods-aware screen privacy for macOS
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GITHUB · launched Sep 20, 2026 · 12 upvotes (top 63%) · 1 view
Niche: screen privacy and sharing utilities · 52 launches, 4 in the last 7 days ▼ -33% · Explore this niche →
Category and tags
- Horizontal
- Dev tools
- B2C
- Not AI
- Commercial product
- airpods
- macos
- privacy
- swift
Visit website ↗ Source listing ↗
More like this: all 52 launches in screen privacy and sharing utilities →
Could you build this?
Partial Building a macOS menu bar or background app that blurs or locks the screen is straightforward, but tracking AirPods motion/orientation sensors via private or CoreBluetooth/IOBluetooth APIs is tricky and poorly documented.
What it would actually take: A native macOS app written in Swift using Cocoa/AppKit for screen masking overlays. The core challenge involves reading head-tracking or connection data from AirPods (using IOBluetooth, private CoreMotion APIs, or listening to HID events), reverse-engineering headset telemetry, and handling edge cases when AirPods disconnect or switch devices.
Competitors
Other products that read as similar to this one : 1777 launches clear the similarity bar, closest 8 shown.
Attention rank: #1103 of 1778 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 319 days after the earliest competitor.
- ntpods · github · 2026-09-30 · 15 upvotes · similarity 0.74
- quietglass · github · 2026-09-20 · 20 upvotes · similarity 0.70
- LookBack · github · 2026-09-16 · 10 upvotes · similarity 0.66
- QuietGlass · ph · 2026-09-22 · 79 upvotes · similarity 0.64
- Mirra · github · 2026-11-08 · 37 upvotes · similarity 0.63
- safarier · github · 2026-10-24 · 194 upvotes · similarity 0.62
- aero-browser · github · 2026-09-14 · 8 upvotes · similarity 0.62
- AirCard-Injector · github · 2026-09-21 · 17 upvotes · similarity 0.60
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.