A high‑performance Twitter scraper that ingests public tweets at scale and reliably monitors hundreds of accounts in real time. Built for horizontal scalability and fault tolerance so it can grow with your data and traffic. Generates per‑account historical baselines (engagement, reach, posting patterns) to model normal behavior. Uses those baselines plus signal features (velocity, retweet cascades, influencer overlap) to score a post’s viral potential. Provides dashboards and alerts so teams can surface likely viral content and act before momentum peaks.