The post discusses a long-running personal data science project that was ultimately deemed unsuccessful. It emphasizes the challenges of sustaining interest and momentum in hobby projects, especially those that don’t yield tangible results. Comments reveal diverse viewpoints on the definition of failure, the importance of automation in data collection, and the value of iterative development and early feedback. Participants reflect on their own experiences of abandoning long-term projects and the dynamic nature of such endeavors. The post highlights the need for stable data sources and the benefits of public APIs for ease of data collection.