“A screen recording hook you can use to grow an education app - pairing a stressed face with a live test scanning the US Constitution to prove detector accuracy.”
341× outlier5/5 reach magnitude vs the account's own baseline.
How hard it moved viewers to save, share, and comment.
Why this qualified
2M views on a app demo post, 341x the account's usual reach. The Outlier score reads reach as a multiple of the account's own median, and that median sits around 5.9K views, which is why the multiple matters more than the raw view count - it isolates the posts that outran their own channel instead of the ones riding a big following.
Its Pull score of 5/5 (7.4% weighted) measures how hard it moved viewers to save, share, and comment - the actions weighted heaviest because they signal real intent rather than a passing tap. The product it puts forward is An AI detection tool. Reach gets a post seen; Pull is the read on whether it landed.
The counts behind those scores: 142K likes, 175 comments, 227 shares, and 1.5K saves. Saves and shares are weighted heaviest because they are the actions that carry a post into more feeds.
The full breakdown - why the hook works, the comment-intent read, and the ready-to-shoot dupe kit - lives inside Handler.
Anatomy
The video opens directly on a screen recording of an application demo, lasting about 15 seconds without spoken audio. A short text overlay serves as a silent visual hook at the start, setting up a demonstration of software analyzing a block of text. The clip moves through three distinct visual beats at a steady, uninterrupted pace: text being pasted into an input field, a button press to trigger the scan, and the final display highlighting results across the interface. On-screen text overlays guide the steps in place of voiceover, while the software interface remains centered throughout the entire demonstration until the final result screen settles.
How this post compares
Its 2M views run about 15x the median of recent education outliers in the library. That reach multiple ranks in the top 19% of the 780 education outliers we currently track. Its Pull score sits in the top 86% of that same set.
Likes led the raw counts, though saves and shares are what move Pull hardest. App Demo is the most common breakout format among recent education outliers in the library, at 38% of them.
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Want to dupe these outliers for your own app?
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