Show HN: Web Scout AI – Auto-discover every user journey (zero config) (github.com)

Web Scout AI has launched an innovative tool that automates the discovery and replay of user journeys on websites, requiring zero configuration. By simply inputting a URL, the tool utilizes Claude Vision, an LLM-powered system, to map out user paths—from homepage to checkout—by analyzing pages, interactions, and network activity. This two-phase architecture captures essential metadata, including screenshots and API calls, and translates them into structured outputs such as JSON files, journey graphs, and visual journey maps. This development is significant for the AI/ML community as it streamlines the process of user journey analysis, making it accessible for QA engineers, product managers, and developers who can now uncover and test user flows without the need for extensive manual testing or coding. The introduction of the Element Reference Pattern enhances reliability by providing deterministic CSS selectors, unlike traditional methods that often lead to selector hallucination. As a result, Web Scout AI not only simplifies regression testing but also improves the accuracy of user journey mapping, contributing to better web development practices and user experience optimization.