Okay, fantastic. So for everyone listening, I am happy to talk about anything relating to the early stage of growing your company, this could be product market fit, it could be growth, it could be pricing, it could even be growth hacking. However, the most important of these is product market fit. And this is sort of the standard disclaimer that anyone who you would ever talk to about growth would ever give you, which is you shouldn't try and grow a thing that isn't yet ready to grow. So what I'm going to start off by sharing is my presentation on product market fit, you may have heard of the product market fit engine. This is the algorithmic way that we use a superhuman to find products market fit, and it can work for you too. Okay, so let's take it away. Thank you Darla, my name is Rohit. I'm the founder and CEO of superhuman, but we of course build the fastest email experience in the world. Our customers get to their inbox twice as fast as before they reply to that important email sooner, and they see inbox zero for the first time in years. Now this is the story of how we built a product market fit engine. And product market fit is the number one reason why startups succeed. And the lack of product market fit is the number one reason why startups fail. So the question I really want to start with today is what is product market fit? Well, Paul Graham, the founder of Y Combinator, would say it's when you made something that people want. Sam altman would say it's when users spontaneously tell other people to use your product. But it is Marc Andreessen who has perhaps the most vivid definition, he would say you can always feel it. When product market fit is not happening, customers aren't quite getting value users are not growing that fast word of mouth is not spreading. Press will use a kind of blur in the sales cycle takes to download. But you can always feel it's when product market fit is happening. Customers are buying as fast as you can that serve as you're hiring, sales and support as fast as you can. reporters are constantly calling you about your hot new thing. Investors are staking out your house and money is piling up in your checking account. Now this is indeed a vivid definition of one that I was staring at through tears in the summer of 2017. You see, it seems so subjective. So an actionable what do you do if by this definition, you don't have product market fit? Indeed, can you measure product market fit? Because if you can, and maybe you can optimize it, maybe you can systematically, systematically perhaps even numerically increase product market fit? And as it turns out, the answer is yes, you can measure product market fit and you can optimize it and it is the precursor to growth. But before I share how, let's wind the clock back, by Gosh, about 11 years or so, because in 2010, I started this company called rapportive. We built the first Gmail plugin to scale to millions of users. When people email to you, we show you what it looks like where they worked their recent tweets, links to their social profiles. We grew rapidly. And two years later, we were acquired by LinkedIn. And during those four years, I developed a very intimate view of email. I could see Gmail getting worse every single year becoming more cluttered using more memory consuming more CPU slowing down your machine, still not working properly offline. And on top of this, people were installing plugins like ours, reportedly, but also Boomerang mix, Max klewitz, you name it, they had it. And each plugin took these problems of clutter, memory, CPU performance offline and make all of them dramatically worse. So we decided it was time for change. We imagined an email experience that is blazingly fast for searchers, instantaneous for every interaction is 100 milliseconds or less an email experience where you never actually have to touch the mouse where you could do everything from the keyboard fly through your inbox, an email experience that just works offline so you can be productive anywhere, an email experience that had the best Gmail plugins built in natively, and yet somehow with subtle, minimal and visual recall. This sounds like a slam dunk right? And so in the summer of 2015, we set up our off If this was our fancy side, and we started to write code, and then the summer of 2016, we were still coding. And in the summer of 2017, we were still coding.