Imagine you’re building a system like Uber, Google Maps, or a nearby restaurant finder.
The explanation was super clear and easy to follow! Hope you'll share walkthroughs for the alternatives as well (Quad Trees/K-d Trees and R-Trees).
Great read with simple walkthrough for the good 😊
By far the best explainer on geohashing!
Nice read.
GeoHashing is one of those deceptively simple tools most developers use without fully understanding.
Super handy for quick map searches. Thanks for breaking it down, Ashish!
Longitude bits: 0 0 1 0 1
Latitude bits: 1 0 1 1 0
Interleaved: 0 1 0 0 1 1 1 0 1 0
Ashish, could you please check this? I think, something wrong here or am I misunderstood?
Thank you. Very detailed and simple explanation. I think Uber and Google uses different algorithms and that should have also been mentioned(S2 and H3)
Great read!
What does Uber's H3 uses? 🤔
The explanation was super clear and easy to follow! Hope you'll share walkthroughs for the alternatives as well (Quad Trees/K-d Trees and R-Trees).
Great read with simple walkthrough for the good 😊
By far the best explainer on geohashing!
Nice read.
GeoHashing is one of those deceptively simple tools most developers use without fully understanding.
Super handy for quick map searches. Thanks for breaking it down, Ashish!
Longitude bits: 0 0 1 0 1
Latitude bits: 1 0 1 1 0
Interleaved: 0 1 0 0 1 1 1 0 1 0
Ashish, could you please check this? I think, something wrong here or am I misunderstood?
Thank you. Very detailed and simple explanation. I think Uber and Google uses different algorithms and that should have also been mentioned(S2 and H3)
Great read!
What does Uber's H3 uses? 🤔