DevStories #1: Time-series for sports prediction markets

DevStories introduces readers to how developers utilize QuestDB by featuring interviews with community members, starting with Kevin Kamto, Co-founder of AthleteX. AthleteX offers a fantasy sports prediction market where users can invest in athletes' performance through Athlete Performance Tokens (APTs), with prices based on real-time sports data. Kevin's background in IoT led him to choose QuestDB for its speed and ability to handle large volumes of time series data, essential for AthleteX’s operations. QuestDB plays a central role in their backend, managing massive datasets and enabling fast queries essential for updating real-time charts on their frontend. Despite initial challenges with QuestDB's security features, AthleteX developed an API to allow user queries while maintaining database integrity. Kevin looks forward to future QuestDB features, such as high availability and enhanced integration with user-friendly dashboard tools like Metabase, to further improve their system’s functionality and user experience.