Show HN: Score any website for AI design patterns (github.com)

A new tool has been launched that allows users to score any website based on 16 common AI design patterns, as discussed in a recent Hacker News thread. This utility employs a headless browser to analyze the Document Object Model (DOM) of websites, scoring them on a scale of 0 to 100. The tool can identify patterns such as "Gradients," "Dark templates," and "Emoji navigation," providing valuable insights into website design trends. Early testing indicates a manual verification error rate of approximately 5-10%, which users are advised to consider when interpreting results. This tool is significant for the AI/ML community as it automates the evaluation of design patterns, potentially streamlining user experience research and design optimization. Developers can easily install and utilize the tool via a GitHub repository, with features for batch analysis and machine-readable output. As AI continues to influence web design, tools like this not only enhance understanding of design efficacy but also foster innovation by highlighting successful patterns that can be replicated across platforms.