Supplementary Dataset and Analysis Pipeline for: Measuring TLD Specialization Among Y Combinator Startups

This repository contains the dataset and analytical pipeline used in the study "Measuring TLD Specialization Among Y Combinator Startups: A Cohort-Level Analysis of .ai Adoption". The dataset includes 5,854 Y Combinator startup records (2005–2026) and derived variables for analyzing top-level domain (TLD) adoption. A tiered global baseline covering 1,320 TLDs is included to enable computation of the Specialization Index (SI). The analytical pipeline reproduces all results reported in the paper, including cohort-level statistics, concentration measures (Gini coefficient, effective number of TLDs), and all tables and figures. The materials are provided to support full reproducibility and further research on DNS naming-layer measurement.