ViralSim is an open-source multi-agent simulation tool for predicting social media content performance. It simulates user engagement, dwell time, and interaction behaviors for Xiaohongshu posts using AI agents, continuously calibrating viral probability against real-world publishing data. Built with Next.js and TypeScript, the project provides content creators with an automated pipeline to test and optimize multimodal posts before publication.
Opening Kapyn…