Hatchet v1 is a newly launched task orchestration platform leveraging Postgres as its backend, aimed at improving workflow and event-driven applications. Users have shown significant interest in comparing it to other Python job runners like Procrastinate and Chancy, with a focus on scalability issues, especially with large payloads (50mb+). Practical design concerns such as message queuing, task management, and database performance arise, particularly regarding the FOR UPDATE SKIP LOCKED approach and whether the system can efficiently handle large volumes of tasks. The open-source nature of Hatchet appeals to developers looking for customizable task orchestration solutions, as it promises a more modular approach compared to traditional long-running worker strategies. Some users also expressed a desire for better documentation and marketing to raise awareness about Hatchet's capabilities, noting that observability and job history management are critical for scaling. Overall, the feedback is positive, indicating a strong potential for Hatchet in real-world applications, although further clarifications and comparisons to existing services like GCP Cloud Tasks are welcomed to enhance user understanding.