GlassSniff

Who it's for

Gyms, spas, coworking spaces, and schools that post 'no recording devices' signs today and rely on staff eyeballing people, i.e. nothing measurable

The problem

legal exposure from locker-room/changing-room recording lawsuits plus staff time wasted on manual patrol that still misses covert glasses

How to build it

a $99 BLE/WiFi sniffing dongle (Raspberry Pi Zero class) at entry points + a phone app for staff that pushes alerts and a web dashboard for weekly compliance logs

How it makes money

gyms/spas/schools pay $50-150/month per location because a single filmed-in-locker-room lawsuit or settlement costs 10-100x that, and no free tool does BLE fingerprinting for this specific device class

Why it doesn't exist yet

security-camera vendors don't reverse-engineer consumer wearable BLE advertisement patterns because their roadmap is video, not RF fingerprinting, and the target device list changes every firmware update, which only a fast-moving indie can chase; big camera cos see it as out-of-scope liability, not product

First users

one gym or spa with a locker-room incident post-Ray-Ban-Display launch posts about it, indie demos live detection at that gym, video goes on a fitness-industry forum/Product Hunt

Build size

2 people x 10 weeks: BLE/WiFi scanner firmware, signature database for 2-3 known device families, staff alert app, weekly PDF log; excludes video camera detection or RF jamming

Biggest risk

if Meta ships MAC randomization + advertisement obfuscation as a firmware privacy update (as it has done for other BLE beacons), the fingerprinting signal disappears overnight and the whole detection mechanism breaks

Conditions for a hit (all 3 required)

• Logs a timestamped, geotagged detection event when a known camera-glasses BLE signature enters ~10m range
• Pushes a staff alert (push notification or SMS) within 5 seconds of first detection
• Generates a weekly PDF compliance report listing detection count, duration, and location per event

How it's judged (in 6 months)

Product Hunt daily top 5, or a named gym/spa chain publicly confirming paid deployment across 10+ locations(judgment date 2027-02-19)

AI self-confidence 32/100 — self-reported likelihood of meeting the criterion, not a business success rate