Viral Scout
Public demo with sample data: two example businesses, real public YouTube posts. Read-only. Source on GitHub

viral-scout docs

Doc For
Video quality framework The 5 tests, 20 criteria and the 100-point scorecard, structure, production standards, testing, and what each one is measured with
Marketing workflow Using viral-scout every week: from "what's viral" to a filmed video
Your performance Your own videos and ads: hook rate, retention, CTR, CPA, ROAS from official APIs or your exports; diagnostics and the 5 tests
Originality and duplicate detection How Instagram, TikTok and YouTube detect reposts and copies, what happens, and how to stay original
Ads scout The paid side: long-running competitor ads, offers and hooks (Meta, TikTok, Google), coverage per region, scoring
Dashboard The web UI: local with actions, or published read-only on Vercel (free)
How it works Pipeline, sources, scoring formulas, data model, limits
Setup and keys Install, .env, the YouTube / Instagram / Apify / Telegram keys, scheduling
Profiles Writing a profile for a new business; tuning filters
References Every competitor, API, library, policy and fact source, with links
Similar tools How other viral/outlier tools work and what we took from them