Methodology
fortune500.tech is a three stage local pipeline. An importer builds a ranked list of companies and resolves each to a primary domain. A Playwright based scraper visits each site, records the HTML, response headers, cookies, script and stylesheet URLs, runtime globals, and the redirect chain. A detection engine then applies a set of fingerprint rules to those signals. This dashboard reads the resulting JSON files and never crawls anything at runtime.
How confidence is scored
Each fingerprint contains one or more matchers. Any single matcher firing is enough to flag a technology. Every additional matcher that fires raises the confidence score, which is capped at 100%. Detections are labelled high, medium, or low so that a single weak signal is never presented as certainty.
Detection coverage
39 technologies are currently fingerprinted across 9 categories. Rules live in a single file and are trivial to extend.