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Identifying Commute Trips at Lime

Identifying Commute Trips at Lime

Using survey data and ML modeling to extend our understanding of rider behavior
Go to the profile of Nick Dulchin
Nick Dulchin
Why and How We Built a Data Catalog at Lime

Why and How We Built a Data Catalog at Lime

At Lime, we serve millions of rides every month. With all of these trips, we collect massive amounts of data that are eventually funneled…
Go to the profile of Jiaying Liu
Jiaying Liu
Experimentation Analysis at Lime

Experimentation Analysis at Lime

Inaccurate experimentation analysis leads to suboptimal business decisions. As Lime grows, the importance of standardized experiment…
Go to the profile of Kamya Jagadish
Kamya Jagadish
Using Computer Vision to Evaluate Scooter Parking

Using Computer Vision to Evaluate Scooter Parking

Building a computer vision model to help us determine whether juicers and riders have parked scooters in compliance with city regulations.
Go to the profile of Andrew Xia
Andrew Xia
Sidewalk Riding Detection at Lime

Sidewalk Riding Detection at Lime

People around the world have turned to scooter companies like Lime for their daily transportation needs. As a result, there has been an…
Go to the profile of Yi Su
Yi Su
Optimizing JS for Native-Like Webviews

Optimizing JS for Native-Like Webviews

Serving web pages fast enough to feel native
Go to the profile of Leo Jiang
Leo Jiang
foo(bar) vs bar.foo()

foo(bar) vs bar.foo()

How to code functions balancing scalability and usability
Go to the profile of Ian Hook
Ian Hook
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