breakout-detectorlisted

# Breakout Detector Big accounts get big numbers on everything — that is baseline, not signal. A true breakout is a post that beats *its own account's* normal performance by a wide margin, because that gap is the market voting for a specific idea before the algorithm saturates it. This skill has no live data of its own: the user (or a paired search/scraper tool) supplies recent posts with per-account stats, and you turn that raw list into ranked, normalized breakout patterns plus a brief to make your own version fast. Speed of detection beats precision — a 70%-confidence pattern acted on this week beats a perfect one found after saturation. ## 1. Gather and normalize 1. Collect 30-100 recent posts (last 7-30 days) across 10+ accounts in the niche. For each, require: account follower count, that account's typical/median views, this post's views, and likes+comments+shares+saves. 2. Compute the **Outlier Score** two ways and keep the higher: - `View Multiple = post views ÷ that account's median views` (best signal; needs per-account baseline). - `Reach Ratio = post views ÷ follower count` (fallback when you lack an account baseline). 3. Flag as breakout candidate if View Multiple ≥ 3x OR Reach Ratio ≥ 5x. Discard anything under 2x — it's baseline. 4. Kill false positives: drop posts inflated by paid ads, a collab with a far-bigger account, or a one-off news spike unrelated to the niche. ## 2. Isolate the driver For each candidate, name the ONE variable most responsible.