Geographic information plays a major role in pricing for industries like real estate. The characteristics of a home’s neighborhood — its (dis)amenities, aesthetics, and walkability — all impact its value.
I was listening to a podcast on location data the other day, and I had to stop because the folks on it were suggesting that everyone should learn spatial SQL. I am all about learning new things, but this one really made me laugh… nervously. Spatial SQL is a massive innovation, but has an incredibly high barrier to entry. Sadly, this means that many projects are either blocked or come at a very high development cost. We are here to change that.
We wanted to celebrate the holidays with our remote team by hosting a video conference and playing a few rounds of Jackbox. This was way harder than we imagined!
How many tabs did you have open, or how many Google searches did you do the last time you moved to a new place? If you’re like us, the answer is probably simple: “way too many”. When it comes to location we often have preferences, but no way to articulate them in the places that we make decisions...
Data is essential to decision-making but it is often found far from where decisions are made. Think back to the last time you tried to plan a short trip, vacation, or even looked for a place to live in a new city. How many browser tabs did you have open? If the answer is “too many to count” you’re in good company. ✋
