Live Ratings Board
Broadcast-style scoreboard ranking all competitors by live viewer count, updating every 2 minutes with TV-style animations and split-flap transitions. Designed to run permanently on studio monitor walls.
The only platform built exclusively for 24/7 television broadcasters. Monitor live viewer ratings, detect bot activity, analyse audience sentiment in any language, and watch all competitors simultaneously — updated every 2 minutes, around the clock.
StreamBeat is the only platform built exclusively for 24/7 television broadcasters. From the Live Ratings Board on your studio wall to AI sentiment reports in your inbox — real-time intelligence across every dimension of the competitive landscape.
Broadcast-style scoreboard ranking all competitors by live viewer count, updating every 2 minutes with TV-style animations and split-flap transitions. Designed to run permanently on studio monitor walls.
Watch up to 16 live YouTube channels simultaneously in a customisable grid. Per-channel audio, fullscreen, Layout Designer with drag-and-drop, and a built-in scoreboard tile — your digital control room wall.
Analyses live chat in any language, worldwide. Identifies emotional tone, peak engagement moments, trending keywords, and generates plain-language executive summaries — without your team reading a single comment.
Detects explosive single-poll spikes and slow gradual surges across multiple cycles. Time-aware sensitivity reduces false positives. Every alert shows viewer delta, percentage change, and 10-minute rolling window.
Watch up to 16 live YouTube channels simultaneously on one screen. Per-channel audio control, fullscreen mode, drag-and-drop Layout Designer, and a built-in scoreboard tile — so live ratings are always in view alongside your video feeds.
StreamBeat's AI Sentiment Engine processes thousands of live YouTube chat messages per minute in any language, classifying audience emotion as excited, angry, confused, or highly engaged. It identifies peak engagement moments, surfaces trending topics and keywords, and generates plain-language executive summaries written for broadcast managers and channel heads — with smart caching that keeps AI costs extremely low even when multiple clients track the same channel.
StreamBeat monitors all tracked channels for both explosive single-poll jumps and slow gradual surges across multiple polling cycles — the kind of bot injection pattern that simpler systems miss entirely. Five detection tiers give your team nuanced intelligence about every anomaly.
Every tracked channel has a dedicated analytics page with full viewer count history, sentiment breakdown, peak detection, and configurable date ranges — from minute-level same-day analysis to daily views across months.
Minute, hourly, or daily granularity with configurable date ranges — today, last 24h, last 7 days, or all time.
Combined chart overlaying audience emotion trends against live viewer numbers — see exactly how mood correlates with viewership.
Automatic identification of peak viewer moments, average viewers, total messages, and sentiment breakdown per stream.
Compare viewer count rankings vs real chat engagement rankings simultaneously — identify channels with inflated viewers vs genuine audiences.
StreamBeat polls every 2 minutes continuously, 24 hours a day. A smart shared-stream architecture ensures that when multiple clients track the same competitor channel, the YouTube API is only called once — maximising efficiency and keeping costs sustainable. Every stream is tracked by its unique video ID with automatic deduplication.
StreamBeat uses a five-tier detection engine that monitors for both explosive single-poll jumps (Suspicious Surge, Suspicious) and slow gradual surges across multiple polling cycles (Sustained Surge, Unusual, High Peak). The system is time-aware, applying lighter sensitivity thresholds during morning ramp-up hours when organic audience growth naturally accelerates — reducing false positives while maintaining full accuracy during peak broadcast hours. Every alert shows the absolute viewer delta, percentage change, and ten-minute rolling window data.
Yes. StreamBeat's AI Sentiment Engine analyses live YouTube chat messages in any language, including regional and local languages. It identifies whether your audience is excited, angry, confused, or highly engaged, surfaces the most discussed topics and keywords, identifies peak engagement moments, and generates plain-language executive summaries written for broadcast managers and channel heads — no technical knowledge required to read or act on them.
The Dual Ranking System compares viewer count rankings against real chat engagement rankings simultaneously. Since viewer counts can be artificially inflated, StreamBeat flags channels where high viewer numbers do not match proportional audience engagement — giving your management team honest intelligence about which competitors have genuine loyal audiences versus potentially inflated viewership. This is particularly powerful during elections and major live events.
Each client organisation gets their own fully private and secure dashboard at a dedicated custom subdomain. Role-based access control gives platform owners, super admins, admins, and viewers each exactly the information relevant to their role. Every tenant can manage their own streams, upload custom channel logos, set their timezone, configure their own YouTube and AI API keys, and control their scoreboard rotation speed and pinned channel.
StreamBeat is fully operational within 24 hours of signup. There is no hardware to install and no complex technical integration required. Simply connect your YouTube channel and the competitor channels you want to monitor, and the platform begins tracking immediately. Our onboarding team supports initial setup at no additional cost.
StreamBeat turns thousands of live YouTube comments and viewer counts into clear, actionable intelligence — giving your producers, editors, and management a real-time window into your audience and your competitors, 24 hours a day.