What are the most common challenges reported by users when using the table in hackathon settings?

In the fast-paced environment of hackathons, tables serve as critical tools for organizing data, tracking progress, and facilitating team collaboration. However, users frequently encounter several challenges that can hinder their productivity and innovation. One of the most common issues is inadequate team collaboration. With multiple participants working simultaneously, tables often become chaotic, leading to version control problems and miscommunication. Team members may struggle to update information in real-time, resulting in duplicated efforts or conflicting data entries. Another significant challenge is data management complexity. Hackathon tables typically handle large volumes of unstructured data from various sources, making it difficult to maintain consistency and accuracy. Users report difficulties in integrating APIs, cleaning datasets, and ensuring data integrity under tight time constraints. Technical difficulties also pose a major obstacle. Many participants face problems with table software compatibility, slow performance when handling large datasets, and limited customization options that don't align with their project requirements. Additionally, time constraints amplify these issues, as teams have minimal opportunity to learn new table tools or troubleshoot problems effectively. The pressure to deliver results within 24-48 hours often forces teams to compromise on data organization and analysis quality. Furthermore, lack of standardization across different table platforms creates confusion, especially when team members have varying levels of technical expertise. These challenges collectively impact the overall hackathon experience, potentially reducing the quality of final submissions and team morale. Understanding these common pain points can help organizers and tool providers develop better solutions for future events.