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Detection tool for covertly recording smart glasses

Build a lightweight scanner app or SaaS that detects nearby AI smart glasses (Meta Ray-Ban and similar) via Bluetooth device signatures and alerts users or venue staff when recording-capable devices are present. Target privacy-conscious consumers, gyms, offices, bars, and event organizers who want to enforce no-recording policies without hardware installs.

Original post

What to build

A mobile app (iOS/Android) or small Bluetooth-scanning device that detects AI smart glasses (Meta Ray-Ban and similar) in range and alerts the user or venue staff, aimed at privacy-conscious individuals, gyms, offices, and event venues enforcing no-recording policies.

Meta's admission that its smart glasses can record without a working activation indicator exposes a trust gap that a lightweight Bluetooth detection tool could fill for privacy-conscious users and venues.

Demand

Privacy-conscious consumers and venues (gyms, offices, bars, event spaces) want a way to detect recording-capable smart glasses nearby now that Meta has confirmed the indicator can't be trusted; HN engagement on the story shows the issue is resonating broadly.

  • Hacker NewsNews

    Meta confirms smart glasses were recording without being activated — 63 points, 10 comments on HN, indicating high engagement at the source.

  • MetaNews

    Meta officially confirmed the recording-indicator gap, which validates the underlying concern driving demand for third-party detection tools.

Stack

  • Bluetooth LE scanning (CoreBluetooth / Android BLE APIs)
  • React Native or Flutter
  • Device fingerprint/signature database (manually curated)
  • Firebase or Supabase for backend/alerts
  • Push notification service (APNs/FCM)

Solo + AI difficulty

The BLE scanning and alerting logic is straightforward for a solo builder with AI help; the hard part is building and maintaining a reliable device-signature database for smart glasses since Bluetooth signals are inconsistent and spoofable, which limits detection accuracy. A rough MVP (scan + alert for known Meta Ray-Ban signatures) could ship in 2-4 weeks, but real-world reliability will take much longer to validate.

Entry threshold
Low barrier: a mobile app using standard BLE scanning APIs and publicly known device fingerprints can ship an MVP in days to a couple of weeks, no hardware, licences, or large capital required.
Window
6-12 months

Where to find first users

  • r/privacy and r/smarthome
  • Product Hunt launch
  • Direct outreach to gym and coworking space owners
  • Indie hacker communities (Indie Hackers, Twitter/X build-in-public)

Counter-signals & risks

  • Bluetooth device signatures for smart glasses may be spoofable, inconsistent, or not reliably distinguishable from other Bluetooth accessories, undermining detection accuracy.

  • Meta or other manufacturers may quickly patch the recording-indicator issue via firmware update, reducing the urgency and addressable market for a third-party detection tool.

  • Venues and consumers may prefer policy-based or signage-based solutions over a paid app/SaaS, and legal/regulatory ambiguity around scanning other people's personal devices could limit adoption.

Original title: Meta confirms smart glasses were recording without being activated

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Detection tool for covertly recording smart glasses — Nichr