Lab

Viral Content Forensics

I spent years making content for hospitality brands and watching some of it perform and most of it not. The post-mortems were always the same: vague feedback, gut-feel explanations, and a few metrics pulled out of context. What I actually wanted was a forensic breakdown: the structural, psychological, and cultural mechanics underneath a piece of content. Not "this did well because it was relatable" but why it was relatable, what triggered the share, and where the viewer almost left.

So I built a tool that does that. You paste the details of any social post (caption, transcript, etc.), select the platform, optionally add metrics, and get a full analysis: hook archetype identification, retention architecture, a psychology layer mapping the emotional triggers driving shares and comments, cultural timing assessment, platform-specific algorithm fit, and a keep/kill/test prescription. It names things precisely. "Curiosity Gap" instead of "good hook." "Zeigarnik Effect" instead of "keeps you watching."

The output is structured the way I'd want to receive it as a strategist: clinical, specific, and immediately actionable. No fluff.

Built with Claude's API, rate-limited to keep it alive as a demo.

Try it →