“A two-slide text hook you can use to promote a dating app - bait with an unbothered lifestyle flex, then deliver an unhinged text punchline that begs to be shared.”
5/5 reach magnitude vs the account's own baseline.
How hard it moved viewers to save, share, and comment.
Why this qualified
Handler logged this slideshow post at 17M views, a jump of 805x over the account's median. The Outlier score is exactly that jump, and with 21K views being ordinary for this account the breakout stands well clear of its own baseline. That is the bar every post in this library has cleared.
Saves and shares carry the most weight in a Pull score, and this post's landed at 5/5 (31.4% weighted). It promotes A casual dating app. Pull is the intent side of the two scores - a post can rack up views and still convert nothing, so Handler tracks reach and Pull as separate reads.
Broken out, the post drew 3.4M likes, 6.2K comments, 349K shares, and 150K saves. Those are the numbers the Outlier and Pull scores are built from, nothing modelled or projected.
The full breakdown - why the hook works, the comment-intent read, and the ready-to-shoot dupe kit - lives inside Handler.
Anatomy
The post opens on the first slide of a two-slide static carousel, displaying a text overlay framed around a dating scenario. Without audio, the narrative relies entirely on visual text across the two frames. The first slide establishes the initial setup, requiring a manual swipe to progress directly to the second slide. The second slide delivers the resolution, presenting a concluding text block alongside an interface screenshot. The caption remains minimal, limited to situational dating hashtags and a tag identifying the featured app. The product appears through the caption hashtag and inside the visual presentation on the final slide.
How this post compares
Its 17M views run about 66x the median of recent outliers in the library. That reach multiple ranks in the top 16% of the 310 other outliers we currently track. Its Pull score sits in the top 9% of that same set.
Likes led the raw counts, though saves and shares are what move Pull hardest. It is one of the few Slideshow breakouts among recent outliers in the library, just 9% of the pool.
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Want to dupe these outliers for your own app?
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