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Master system design interviews with scalable architecture patterns, distributed systems, and real-world design challenges.

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Geohashing

maang.io System Design Series


Geohashing interleaves the bits of latitude and longitude and base32-encodes them into a short string, so that points close together share a long common prefix. That single property turns "find nearby" into a cheap prefix query on an ordinary database index — which is how Redis GEO and countless proximity-search systems work under the hood.

This deep dive comes in three parts:

  • Foundations & Core Concepts — bit interleaving, base32 encoding, and prefix-as-proximity.
  • Internals — precision vs string length, the boundary problem and neighbour cells, with worked numbers.
  • Interview — Staff/Principal Q&A: proximity search at scale and the trade-offs vs quadtrees.

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