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In a web filled with lists, menus, and repeated patterns, sometimes the simplest operation — target the third link in a list, the second result in a search, or the last related article — becomes surprisingly important. nthlink is a focused approach and set of practices for addressing that need: reliably identifying and working with the “nth” link in sequences of links across pages, applications, and content feeds. At its core, nthlink combines three ideas: precise selection, contextual resilience, and lightweight analytics. Precise selection means using deterministic rules to identify a link by its ordinal position (first, second, nth) within a known container — a navigation bar, a search result list, a comment thread. Contextual resilience means those rules are robust to small DOM changes, viewport differences, or minor content reshuffles. Lightweight analytics means collecting minimal, actionable data about which nth links users click, how they engage, and how changes affect outcomes. Practical uses for nthlink span web automation, testing, personalization, and measurement. In automated UI testing, specifying nthlink targets reduces brittle selectors that depend on IDs or classes that change frequently. For personalization, systems can rotate content into specific ordinal slots (e.g., featuring a promoted article in the second slot) and then measure engagement. In scraping and data extraction, reliably grabbing the nth item in repeated structures simplifies pipelines and reduces errors. Implementing nthlink doesn’t require heavy frameworks. A robust strategy starts with identifying stable containers (list elements,