Built an agent that explains why X posts go viral instead of generating new ones

Reddit r/AI_Agents Tools

Summary

Built an AI agent that analyzes X posts to explain why they went viral by examining hook structure, emotional triggers, and reply bait signals, using Claude Sonnet for deep analysis and Haiku for scoring, with account context for meaningful scores.

Most AI content tools do the same thing — generate, schedule, repeat. I went the opposite direction. Instead of "write me a post" — built an agent that answers "why did this post win." Feed it any X post. It breaks down: \- Hook structure \- Emotional trigger \- Reply bait signals \- Score vs account's own baseline The baseline part was the interesting engineering problem. Same post performs differently for a 500 account vs a 500K account. Needed account context to make the scores actually meaningful. Used Claude Sonnet for deep analysis, Haiku for scoring. Chain of thought internally before final output — reduces hallucinated reasoning a lot. Curious if anyone has tackled content analysis agents vs content generation. Feels like an underexplored direction.
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mvanhorn/last30days-skill

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