Building a smarter home feed

Chris Pinchak | Pinterest engineer, Discovery

The home feed should be a reflection of what each user cares about. Content is sourced from inputs such as people and boards the user follows, interests, and recommendations. To ensure we maintain fast…

Scalable A/B experiments at Pinterest

Chunyan Wang | Pinterest engineer, Data

We have hundreds of A/B experiments running at anytime, as we launch new products and improve the quality of the user experience. To power these experiments and make timely and data-driven…

Powering big data at Pinterest

Mohammad Shahangian | Pinterest Head of Data Science

Big data plays a big role at Pinterest. With more than 30 billion Pins in the system, we’re building the most comprehensive collection of interests online. One of the challenges associated with…

Building a scalable and available home feed

Dan Feng | Pinterest engineer, Discovery

We pride ourselves on being a company focused first and foremost on the user experience. In order to deliver a great experience, including showing related content in the home feed, we’re…

Rebuilding the user typeahead

Devin Finzer, Jiacheng Hong and Kelsey Stemmler | Pinterest engineers, Discovery

Lessons in growth and increasing signups

Jean Yang | Pinterest engineer, Growth

On the Growth team at Pinterest, we’re constantly brainstorming ways to attract new users. Over the past year we ran a series of A/B experiments which resulted in a significant increase in daily…

Building Pinalytics: Pinterest’s data analytics engine

Stephanie Rogers | Pinterest engineer, Discovery