Breakout Simulator

Breakout Prediction Simulator is a multimodal pre-flight testing tool for short-form content. Instead of posting a video and waiting to see whether it performs, creators can upload a reel, choose the audience group they want to reach, and simulate how that content might spread before publishing. The system analyzes the uploaded video across multiple signals: sampled visual frames, visible text overlays, audio, and speech transcripts when available. If a video has no human speech, it still works by building a visual narrative from the frames. After analysis, 260 simulated persona agents react to the content in waves, deciding whether they would skip, like, comment, save, or share. A key feature is target-group testing. The creator can select a desired audience, such as Gen Z trend viewers, developers, founders, fitness audiences, foodies, gamers, parents, or designers. The simulator then highlights how that specific group responds and produces edit recommendations tailored to them. The final output is not just a score. The app gives creators actionable guidance: what to change in the first few seconds, what text to add, what payoff to move earlier, and why the selected audience is engaging or dropping off. Built with Next.js, TypeScript, OpenAI GPT-4o vision, Whisper transcription, GPT-4.1 persona agents, and ffmpeg-based video processing, the project demonstrates how multimodal AI and agent simulation can help creators make better publishing decisions before content goes live.