After selling our company to Google, we planned to rebuild our photo roll idea with Google technology to create Google Photos, and I was optimistic about its success.

Google Photos was a hit from day one, growing rapidly and becoming one of the fastest-growing products of all time, reaching over a billion users in less than four years.

Google was always intended to be an AI company, with its mission to gather all the world's data and feed it into a giant AI supercomputer.

Once we received approval, our team from Bump collaborated with Google engineers to build Google Photos from scratch in about nine months, launching it in 2015.

In the early days of Google Photos, we observed that while many users dropped off quickly, a stable percentage remained engaged, which gave us confidence in the product's potential for growth.

Deep learning applications at Google include Google Photos, which effectively utilizes computer vision to understand the content of images.

To create a product like Google Photos that billions will use, you must be fully committed and understand that success rarely follows a straight path; expect failures and challenges along the way.

Google has always been an AI company at its core, focusing on large-scale data and analysis, which positions it well for the current shift towards AI innovation.

Google Photos demonstrates how understanding the content of images can lead to successful product features, serving as a valuable lesson for startup founders.