rishabhj_says

Our team spent the last 18 months working with delivery, shared mobility and workforce companies and we realized the massive amounts of location data being collected mostly doesn't end up being used for decision making because it requires engineers or GIS Analysts to create custom dashboards and maps.

We tried to make getting insights easier similar to how mixpanel made it easier for marketers to do event analytics.

You can checkout a 2min video walkthrough here: https://www.youtube.com/watch?v=Juzmg0OaclI

Read more here: https://blog.locale.ai/which-subway-stations-to-avoid-in-new...

NYC Subways have been serving as the major transit choice for New Yorkers. The Metropolitan Transportation Authority or MTA, which operates most of NYC’s transit systems, reports a massive 1.7 billion subway rides as of 2013! That’s huge when comparing it to a 803 million figure for the city buses.

Today, the subway usage has obviously decreased due to coronavirus. But, what about people like doctors, essential services staff and other people, who still can’t afford a personal commute and rely on the subways? They are the ones most at risk but they have limited choices.

Hi there,

My name is Rishabh, and I am the co-founder of Locale.ai. We are building an analytics platform for companies in mobility, logistics, and workforce. If you work with interesting companies, in the space would love to talk to you,do an interview and learn about your experiences.

Hi Daniel, in your experience, what features is this model most suited for and with what granularity of imagery? For example, buildings/roads with landsat(30m)? Cars with 30cm resolution imagery?