In an imaginative use of their machine data analytics platform, Logz.io analyzed Twitter data to gauge the popularity of Game of Thrones characters and their potential to claim the iron throne, coinciding with the airing of the show's final season. By connecting Twitter's API to their log analysis platform, they tracked hashtags related to prominent characters and correlated them with mentions of the "iron throne." The data revealed Daenerys Targaryen as the most popular character with 21% of mentions, closely followed by Arya Stark at 17.5% and Cersei at 12%. Daenerys also emerged as the top contender for the iron throne with 20% of the votes, followed by Jon Snow and Tyrion Lannister. The analysis highlighted how trends and theories among fans evolved over time, underscoring the utility of log analytics tools like Kibana to visualize data trends across diverse contexts beyond traditional IT applications.