SFPark: Interactive map of SF parking regulations

3 months ago

SFPark is an interactive map app designed to help users navigate San Francisco's parking regulations more effectively.
The project was inspired by the need to avoid parking tickets due to unclear or missed parking restrictions.
Using Claude AI, the developer quickly prototyped and optimized the app, reducing development time from weeks to days.
The app leverages publicly available GeoJSON data from data.sfgov.org and services.sfmta.com, pre-processed for efficiency.
Key optimizations include quantizing coordinates to 32-bit integers, reducing data size, and improving rendering performance.
The frontend is lightweight, with minimal dependencies, and supports both canvas and WebGL rendering for smooth performance.
The backend involves an hourly job to refresh data, ensuring up-to-date parking information with minimal overhead.
The project showcases the potential of AI as a 'high-level compiler,' enabling rapid development of bespoke software solutions.

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