Show HN: Predictive load balancing for Claude accounts (github.com)

A new tool called cc-pool has been introduced for macOS users managing multiple Claude subscriptions, enabling predictive load balancing across accounts. This innovative solution addresses a common frustration where one account reaches its usage limits while others remain underutilized. By selecting the least busy account before launching a session, cc-pool streamlines access without requiring manual intervention or dealing with rate limit issues. The software integrates seamlessly into existing workflows, allowing users to run their Claude sessions with a simple command while keeping their main configurations intact in the macOS Keychain. This development is significant for the AI/ML community as it enhances efficiency in utilizing Claude's capabilities, particularly for users who often juggle multiple subscriptions. It introduces a scoring mechanism that evaluates account usage based on recent activity, facilitating optimal session selection that maximizes resource utilization. Additionally, cc-pool’s design ensures that user credentials remain secure, housed solely in the Keychain, while providing easy onboarding processes and live status monitoring. With the potential to improve productivity and reduce costs associated with subscription management, cc-pool represents a valuable asset for developers and data scientists alike who rely on Claude for their projects.