Lime (bikes) is a data company
a day ago
- #AI-Powered Self-Discovery
- #GDPR Data Analysis
- #Personal Mobility Insights
- The author used GDPR to request three years of personal Lime bike ride data in London and analyzed it with Claude AI.
- Lime's data archive included trip history, app events, payments, user profile, CRM segmentation, identity verification, and customer information.
- The CRM data revealed the author is a top 1% 'Diamond' user, part of the 'Ultra Emerald' segment, with high frequency and value as a weekday commuter.
- Dashboards were built to visualize ride statistics, showing a switch to Forest bike after a notable incident in November '25.
- Mapping rides illustrated the concept of a 'third space' and revealed key life locations like home, work, gym, brunch spots, dentist, and salsa class.
- Claude correctly inferred life events from ride patterns, including home moves, job changes, and regular appointment times.
- The process is replicable: request data via GDPR, use a private AI agent, and explore personal insights from apps like Whoop, Deliveroo, or Hinge.
- This experiment combines GDPR rights and AI analysis to uncover personal patterns and insights from everyday digital footprints.