Look to the recent past for signals of future growth.

A company’s store locations reflect its overall site selection strategy. If your strategy is similar, look to them.

Sure, the food is important but who doesn't want to pair good food with an epic view? OpenTable now lets you do so!

By automatically including Supercharging stops along your driving route Tesla not only removes friction from the experience of driving one, but opens up the opportunity to capture even more of your money by defaulting drivers to Tesla-owned chargers. This is just the tip of the iceberg in terms of the potential for Tesla...

Maps on real estate sites like Realtor.com usually have great data layers. But the map is usually the only way to interact with the data.

If your data kit doesn't include contextual data about a location, you are going to miss a lot of the important factors that impact price. You could be leaving money on the table, or taking too much off. Either way, there's alpha to be had.

Zillow has a hard-to-find 'waterfront homes' filter. But it's not really accessible to home searchers.

The first post in a series highlighting place data in the websites we use and love. This piece covers Airbnb's category search.

Getting geospatial data into ML models is hard. One reason for this is that there are few “canonical” sources for geospatial data at scale. Open Street Map (OSM) is understood as one such source for rideshare, but its potential in real estate use cases is widely unexplored. In this post we discuss some of the quality control/QC work we do to improve off-the-shelf OSM data and measure the impact of that work via a real estate pricing model benchmarking test.

Virtually all companies are in the same boat: it's way too hard to innovate their products when it comes to location data. The few who can leverage geospatial data can innovate in truly game-changing ways.