BeaconWipe for LG SmartTVs

Who it's for

Home privacy advocates and smart home installers who currently use Pi-hole with fragile, generic blocklists that break Netflix/Hulu login tokens.

The problem

Legal and privacy pain of continuous standby room-scanning and microphone/packet leaks, combined with the time pain of troubleshooting broken streaming app handshakes due to overly aggressive DNS blocks.

How to build it

A lightweight, self-hosted Docker container and a companion mobile configuration page.

How it makes money

SaaS and self-hosters pay a $19 one-time license for premium, actively maintained mock-endpoint schemas that mimic LG telemetry handshakes as they evolve.

Why it doesn't exist yet

Incumbent adblockers use static domain-level blocklists which cannot inspect HTTP payload signatures or dynamically reply with mocked 'success' telemetry states to keep the TV's native apps from locking up.

First users

Early adopters on Reddit (r/privacy, r/selfhosted) seeking to silence their newly-reported spying LG TVs without losing the ability to watch Prime Video or Netflix.

Build size

1 person x 5 weeks. Includes building the DNS/HTTP proxy engine, designing the telemetry-mocking mock patterns, and creating the web dashboard interface. Excludes custom firmware development.

Biggest risk

LG could push a mandatory TV firmware update that encrypts all DNS traffic via hardcoded DNS-over-HTTPS (DoH) IPs, bypassing local DNS interceptors entirely.

Conditions for a hit (all 3 required)

• Real-time intercept log showing the exact blocked telemetry payload structure from LG TV IPs on port 53 and 443.
• Dynamic response generator that returns mock 'HTTP 200 OK' schemas to diagnostic endpoints instead of dropping packets, keeping smart apps operational.
• An automated test button that verifies TV internet connectivity while confirming zero outbound telemetry packets escape the LAN boundary.

How it's judged (in 6 months)

GitHub project matching the description reaching 500+ stars or appearing in the top 5 of Product Hunt.(judgment date 2027-03-12)

AI self-confidence 78/100 — self-reported likelihood of meeting the criterion, not a business success rate