"the central thesis is: Take a consumer category that has consumer anxiety and a few gatekeepers that control limited information and blow it open through transparency and trust."

"Digital travel – travel sold online is a $800 billion global marketplace.  And mobile, the segment that we’re in, is about $270 billion. So, for scale, ride-sharing is about $40 billion. So, this is a gigantic market."

"My thinking was that although these online travel businesses had taken the inventory and made it available online so that you no longer needed travel agents to buy stuff and compare – nobody had really pushed the consumer value proposition much beyond that."

"Lets aggregate an ungodly amount of information at a scale that nobody would ever think of doing."

"And then, in that data, there must be a way to create consumer value in a way that nobody else has really done."

"And let’s not just build an engine that’s focused on transactions, but let’s try to provide insights before we try to sell something."

"we discovered that people had an unlimited amount of anxiety around when to purchase a ticket."

"We believe that if you could aggregate data at a scale that works, something magical would happen."

"The first version of what we launched was able to correctly predict airfare up to a year in advance."

"We had no clear path to revenue and no clear path to monetization."

"We weren’t selling tickets, it was just the prediction and the advice."

"We know the future. Don’t shop for your own airfare. We’ll send you a push notification when things change. And, today, for scale, we send over a billion push notifications."

"“Don’t do any work and save money.”"

"It’s about using data to create trust and transparency to help consumers, and then assume that through this trust commerce and revenue will happen."

"Some 70 percent of what we send to our app users tells them not to buy."

"And you have to tap through to see the actual product. And the main action we try to get you to do is watch."

"When people are told, “Don’t do this yourself, the computers are much better at it. We have your back,” and they trust us, we see that the advanced period at which they start tracking flights, for example, is much longer. So, we’ll have an average of 90-120 days.  We will see you as a user 30-40 times before you purchase from us."

"It turns out that people plan longer ahead on Hopper than on the web."

"Also, people thought that if you forecasted prices, you’d only get people that were looking to buy the most budget products."