WhatJustHappenedOnTV
A second-screen companion that listens to what you're watching on TV and pings you with context when a viral or confusing moment hits — who is that person, what just got banned, why is everyone tweeting.
Casual TV viewers who watch live sports, awards, and reality shows and want real-time context
- Auto-detects trending moments during live broadcasts and pushes a 20-second explainer
- Live 'who is this?' overlay for guests, athletes, and commentators
- Side-by-side social-media reaction feed (TikTok, X, Reddit) for the same moment
- Save moments to a personal 'caught it' reel
Live broadcasts increasingly compete with social commentary — second-screen context turns passive viewers into active participants.
87% of sports fans use a second screen and 93% plan to for 2026 World Cup, but the vast majority go straight to a social feed rather than a dedicated companion app — behavior exists, app demand does not.Sports Apps Are Losing the Second Screen. Here's What's Replacing Them ↗
Crowded with high-profile failed attempts — Channel 4's 4Now, NBA/NFL/Premier League companion apps all invested heavily; companion app retention drops 70-80% and QR scan rates sit at 1-3%, leaving little proven whitespace for a new entrant.Single-Screen Interactivity Is Killing the Second Screen ↗How lucrative are second screen companion apps for TV broadcasters ↗
Average user has 80 apps and uses only 9 daily; CTV/mobile revenue attribution is 'nearly impossible' and companion apps compete with free social feeds (X, TikTok) where the same context already circulates in real time.CTV and Mobile: The Dual-Screen Revenue ↗Sports Apps Are Losing the Second Screen. Here's What's Replacing Them ↗
IMG's 2025 Digital Trends Report concludes 'there is no longer a second screen' — the phone is the primary surface and TV is ambient; the companion-app category is structurally declining even as live TV moments remain culturally massive.Sports Apps Are Losing the Second Screen. Here's What's Replacing Them ↗
Core tech is largely solved — mature ACR/audio-fingerprinting APIs (ACRCloud) plus cheap LLMs for context generation make the listen-and-explain pipeline buildable; remaining work is real-time orchestration and broadcaster/content licensing.ACRCloud | Audio Recognition Services ↗Identification API - ACRCloud ↗