Show HN: AI Time Estimator – how long Claude Code will take, from your own logs (github.com)

A new plugin for Claude Code, named AI Time Estimator, has been introduced, allowing users to accurately estimate the time required for tasks based on actual usage logs on their machines. When prompted, Claude Code will evaluate a task and provide time estimates in “working minutes” rather than making generalized guesses. The plugin harnesses past execution rates from the user’s history to deliver estimates that adapt over time, continuously improving as it learns from each task's completion. This development is significant for the AI/ML community as it enhances task management and planning accuracy for developers. By utilizing Monte Carlo simulations and a scoring system that updates after each task completion, the AI Time Estimator offers a more refined approach to productivity predictions. This can help streamline workflows and improve project timelines, making it particularly beneficial for teams relying on AI to assist with development tasks. Notably, all computations and historical data remain local to the user's machine, ensuring privacy and data security while delivering real-time insights.