How to pick which startup to work at

Thank you, Jared, for giving away my talk. It's me, Justin Khan. I am YC's remedial student. I had lost track actually of the number of times I'd been through YC, until Jared reminded me. It's been three times, actually four, at least. And, some of those companies worked, some of them didn't. And my newest company, which went through YC in, the last batch in in winter, 2018 is called Atrium.

And one of my team members will be up to tell you about that later. But what I wanna talk about today, and it was supposed to be a surprise twist, no longer is, why you should, but also why you shouldn't join a startup. And And I'm gonna start with why you shouldn't join. Okay.

There's a couple reasons, and I am my goal here is just to give you the most unfiltered raw feelings that I have to help you make an informed decision. But there's lots of lots of good reasons why you shouldn't shouldn't join a start up. Number one, the management at start ups generally really sucks. I wish I was joking, but no, it's it's true. I used to joke that there were y c companies.

There were two kinds of y c companies. There were the rocket ships with bad management, and then there were the other companies with bad management. And as kind of a corollary to that, it is likely that if you join a start up, especially in early stage one, you won't necessarily get enough mentorship or direction on what you're doing unless you really actively force people to give it to you.

Second reason, you are likely to not actually get rich joining a start up. That's statistically improbable. If you think you're gonna join a start up and then be set for life, that is unlikely to happen. So that that would not be a good reason to join. I'm sorry I ever told you different. And then the third reason, which I think is a new reason in Silicon Valley actually is.

Silicon Valley has matured in the last ten years since Jared and I have kinda gotten here. One of the things that I think has changed is people, know, originally when I got here, think people just wanna work on interesting shit. And it was a much smaller number of people. Now I think that there's a lot of people who come to Silicon Valley because it's a great career.

And there's a great trajectory and there's stability. And if you want like those things, you should not join a startup. And I've noticed more and more people, even even people have recruited more recently, have coming in and saying, you know, what's the career pathing here? What's the you know, where's the what's the what's the five year plan? And I'm like, we don't have five years of money.

So if you want stability, think you should go join Facebook. Maybe maybe not today, but next next next week. Next week. Alright. Alright. So now on to what you really came for, which is why you should join a startup. And I when I was writing this in the parking lot five minutes ago, identified three reasons. Alright.

Number one, you will get access to jobs that you're completely unqualified for and you might not be able to do. So my example actually comes from that very first workforce startup. Eight years ago, you know, I was on stage talking about Justin TV, and we actually recruited someone from that. And his name was Guillaume. He's a he was a from France, a programmer.

And actually, he came to work for a startup and got two offers from two different companies. One was Justin TV, and one was actually Scribd, Jared's company. And I sat down with Guillaume, I remember in a coffee shop after work for a start up and he said, oh, I have this offer from Scribd. I said, what was it? He told me. I was like, I'll pay you $10,000 more right now to sign this instant.

And so he accepted. Sorry, Jared. He accepted and he and he joined Justin TV. And within a year, he was running our entire rails back end for a site that was like a top hundred site and I think a top 10 to 20 rails site at the time. It was like in 02/2010, so the bar was a lot lower.

And that was a job he's like completely unqualified for and he would never have gotten the opportunity to do if he didn't join a SARP where we didn't really have anyone else to do it. And I he went on actually, this is a pretty cool story. He went on we spun out a company called Socialcam a couple years later. He went on to be the cofounder of that company as we, spun it out of Justin TV.

Went through YC and, got an even greater scale challenge when they scaled to, like, from zero to a 28,000,000 users in, like, two months. And so, you know, just the rate of learning for him was, like, pretty incredible. And he's gone on to now he's a cofounder at a company called Triplebyte that does recruiting for YC companies and others. Okay. So that's number one.

You are going to get access to jobs you are not qualified for. Number two is joining a startup is a really good gateway to starting your own startup, if that's a goal of yours. In the second work for a startup, we in 02/2012, I came back with with another company called Exec. And I recruited someone else, actually, someone really talented.

His name is Finbar, and he was an engineer at Groupon at the time. And I think he really wanted to break into starts with the idea of eventually starting his own. And I think one of the things that's really important is to just put yourself in positions where you're around people who would wanna do the things that you wanna do or or people who are like the person that you wanna become.

One of my co founders of Twitch, his his name is Emmett, has always told me that, you you are the average of your five closest friends. And he wasn't talking about just me. He was talking about everybody in general. And I I really think that's the case. So as Finbar went on, he was like, working at exec.

That company didn't work out super good, but he ended up meeting a cofounder there and starting a startup, which was a horrible idea. It was a terrible idea. Told him not to do it at the time. But he ended up getting a start. Right? He was like he became a founder. That didn't work out.

He ended up joining YC for, I think, just over a year, and then started a new startup that just went through YC and is off to the races and doing super good. I won't give away that. It's called Shogun. You should check it out and and probably work there. Okay. So starting your own startup. That's the second reason. The third thing is to maximize your I should slow down.

I still have a lot of time. Sorry. The third thing is to maximize your own speed of learning. I think this is actually the most important reason why you should join a startup. And I've kinda two examples of of people who had who did that working working with me. And they are both the two cofounders of Cruise.

And I I think that they're cool examples because one is kind of maximizing learning on the way up and the other on the on the way down. And I'll explain what that means. So the first cofounder of Cruise, his name's Kyle Voatte. We recruited him at Justin TV in the early days to he was an MIT student, and we had found him.

And he was like kind of this person that we thought we needed because he was this hardware hacker, we thought we were gonna build a hardware company. And so we convinced him to come out from MIT and for his like the the month long break during January. And we bought him a one one way ticket. We were like, just work for a month. And then we never bought him a ticket back.

And Kyle Kyle basically became our VP engineering. And he became a cofounder actually in in the VP engineering. And Kyle's an amazing hacker. He's always has been very amazing tinkerer and and one of those people with a can do attitude. He's just gonna, If you're like, hey, let's build this thing, he's going to go figure out how to build it.

But he didn't know jack shit about scaling systems or building scalable system architectures. And so that was like the job that was available though as soon as we stopped, we figured out that we should not build hardware. And so that was that's the the job we kind of assigned him. And he had to figure it out really, like, on the fly. And so he ended up, you know, packing this live video system.

There was nothing kind of there was nothing there was there was there was, like, no precedent. Right? We we basically built this scalable, dynamic live video system that he engineered and architected mostly badly at first actually. And it would went it would go down all the time.

We ended up there was this one kind of funny story where, you know, we had no idea about like, we did no idea how to build reliable systems. And so every time it would go down, we would like call him, which was like every like thirty six to forty eight hours. And he so he could like never go on vacation. Well, which is like not really acceptable to him.

So it was just like one time he was just like, I'm going. Goodbye, basically. And we're like, no. What what's gonna happen if you're like not around? He ends up he went to Tahoe or something like that. We ended up it of course, like clockwork, after, you know, thirty six hours, the site went down. And we had no we're calling him on the phone at, ten times.

It's a live video site, so if it doesn't work, it doesn't have any value. Right? Like, just right then. So we started calling him, and, he didn't pick up. Luckily, he had left the address. We ended up having to order a pizza to go to his house to read a message to him. Like a pizza delivery driver read the message like, answer your phone, the website is down.

So like that was like our concept of like a pager system at the time. Right? So really figuring everything out, you know, one step at a time, kind of inventing everything from scratch.

The end of the story is he eventually architected this live video system that by the time Twitch sold to Amazon in 2014 was the fourth largest bandwidth consumer in North America, 15 points of presence around the world, did 90 petabytes of data transfer a month.

And so, you know, I mean, his rate of learning was incredible as a as a software architect and obviously kinda went on and took a lot of that to Cruise, which is also an incredible story. The other cofounder of Cruise was my brother, Daniel, who met Kyle actually as a intern at Justin TV when he was a a college student. We recruited him not really recruited. It was more like nepotism. I'm sorry.

I hope he's not watching right now. I'm just that's fucked up. That's fucked up to say. So now he was he he he also had a like crash course in in startups over the next couple years. Didn't work for me for very long, but when he did work for me, he he recruited these guys to the site. I remember Justin TV when we were doing like the kinda live streaming site. He recruited this this unknown band.

It was called the Jonas Brothers. And they they ended up, like, crashing our site. Mean, they were part of the reason that Kyle hated his life. Ended up crashing the site over and over again. But the cool thing was he joined as this intern.

He got to, like, you know, interact and and kind of, like, make a deal with, like, what was basically, like, became the number one kind of teen band at the time in in 02/2007. And then later on, you know, he joined me as a cofounder when I started this other company, Exec, in 02/2012.

And the cool thing, you know, I I mentioned that, you know, Kyle's kind of the example of, like, how you might learn at a startup as the start up's growing and on the way up. I think Daniel's a perfect example of how you will also learn and maximize your learning if the start up is completely and horribly failing.

Because we in 2013, by the time we had worked on exec for a couple years, we realized that the home cleaning business is not a great business. I recommend you don't join a home cleaning startup. And he we ended up trying to sell it. And this is a great story. This is my last story. This is a great story. So we were we were trying to sell it.

We ended up negotiating a deal with a company called Handy that's in the East Coast and against all odds has survived in this industry. And we negotiated the deal and I'm I'm like, it was taking forever. There was, tons of lawyers. It was dragging and dragging and dragging. And I was so burned out. I was just like, I'm going on vacation, Daniel. You have to deal with it.

It's not a very responsible thing to do, but and so he ended up having to be the one who closed this deal over the next like month while I was in Thailand. I mean, I was like kinda doing stuff on the phone, but he was mostly like running this deal for not a lot of money, you know, just a bit of of stock from Handy. And he ended up like it was like a horrible experience.

He learned all about, like, negotiating, you know, from and and when you wanna have leverage in a deal, when you, you know, when you should like, all the things all the different minutiae of negotiating a deal. And he lured on this very small horrible deal, which we were mostly just trying to offload because we were, like, we're so burned out. We wanna get out of the business.

Two years later, fast forward two years, he had become a cofounder of Cruise. Cruise had built an amazing technology team that was executing super well. And, you know, you guys know the end of the story. They end up selling to GM for a billion dollars.

And he applied the cool thing, I think, is that Daniel applied all of those horrible lessons he learned from, like, trying to negotiate this shitty piddling deal for our company to his next company and ended up you know, they sold it for over a billion dollars. So you're gonna learn something. Whether the company succeeds or fails, you'll probably walk away with something valuable.

The last thing I'll say is that the way I think about it is the way I think I think about growing and like your your your speed of learning, maximizing your speed of learning is from a quote that our YC partner Paul Buhite had as generally said. Think he says it to every batch, which is that, you know, it's not your y intercept, but it's your slope that's important.

And so I think you wanna you know, the way I've I've always thought about it is how do I figuring out ways that I can put myself in the position to maximize my own personal rate of growth and rate of learning. And I suggest that you do the same regardless of whether that's at a startup or not. Alright. Best of luck. Next up wait. Wait. I'm supposed to introduce you. I'm sorry.

I forgot. Next, we have YC president, Sam Altman.

Alright. Justin covered a lot of what I was gonna talk about, so I'm gonna have time for questions. That was awesome though. So I want to talk about how to pick which start up to work at. The most important considerations, you all already know.

Picking a company you're excited about, people you're excited about, a role you're excited about, that's more important than the rest of the stuff I have to say, but that's also intuitive. And so I'm going talk about the things that are not intuitive, or at least haven't been for me. And I want to just echo one thing that Justin said, because I think it's so important.

Every job I've ever had and probably every job Justin's ever had as well, I'll speak for myself at least, I've been wildly unqualified for. And doing that, think is like the number one secret to having a really great career. Like that's the way you have a super fast rate of personal growth.

And I think the way careers go is you should put in the most of the effort at the beginning because there's it's this compound interest like thing where the work you do now, the learning you do now, the improvement you make early in your career gets to pay off for all the rest. So you may as well work hard and take a chance on a role that you feel unqualified for early.

And if you flame out, flame out and you go try something different. But my experience is when someone does a role they're unqualified for, it either goes way worse or way better than expectations. And a lot of the times it goes way better.

And if you hold yourself back from doing this because you're afraid of not working out, which is totally understandable, sometimes it doesn't, I think you miss this opportunity to have the sort of most impactful career you can. And that is what's so cool about startups is you can get jobs you are wildly unqualified for. So I want to talk about how to pick a startup.

And I want to talk about this from the perspective of being an investor. Because I think what you're doing when you go to work at a start up is making one big investment. If you're really good, you are going to take way less cash comp you can than you could get at Google or Facebook. And you are going to be compensated for that by investing your time in the startup in return for equity.

So people have different risk reward trade offs. You might want a later stage startup with this lower risk or return. You might want higher risk, high return of very early stage start up. But I think the right framework of this is to think about it like you're investing in a start up. And for me at least, learning to invest in start ups was deeply counterintuitive.

And I'm gonna talk about eight things that I learned about how to evaluate startups for investment. This mostly applies to sort of the stage of startups you'll see here today. Number one, this is a Paul Buhite, another Paul Buhiteism. It's more important that a startup have a small number of users that really love the product rather than a lot of users that really like their product.

Most startups either have no one who cares at all or a lot of people who are kind of like, yeah, that's okay. Very rare to find a startup where people love the product so much, they spontaneously tell their friends. But if you think about the really big companies today, Google, Facebook, you probably heard about it because someone was like this is awesome, you've got to sign up.

And you know people talk about product market fit, all this other stuff, I think it's sort of hard to evaluate. But one thing you can do is either like talk to some users of the company or ideally you are one yourself or know some and like, is this product so good that people are telling other people they've got to use it?

And that I think matters much more than the vanity metrics, number of users, current growth rate, whatever that most startups throw around. So if you only do one piece of diligence, this is the one I would do. Number two, trust in exponential growth. And as a as a byproduct of that, trust in momentum. Momentum is sort of this really important concept to start ups.

If things are feeling good, if if it's growing, if people are loving the product, if good people are joining, tends to keep going. And if that falters, it's very hard to get it back. So does the startup have a good sense of momentum, and is there some sort of exponential growth model? By the way, I've been investing in startups for like, I don't know, eight or ten years now.

I still have not managed to get good at intuiting exponential growth in my head. So I have to do it in a spreadsheet every time. But I've learned to trust it. If it's if it's if a startup is growing exponentially and it's not fake, it's not like, you know, they're buying all the users or something, it tends to keep going.

And making that leap of faith, because almost no one understands just how powerful exponential growth is, even if they say out loud they do. Making leap of faith and trusting that is super valuable. Related concept. This is the third one. The size of the market today matters almost not at all. It is the the growth rate of the market and how big the market will be in ten years.

So I think the number one mistake investors make when they miss out on a really great opportunity is they look at the size of the market today. Now they only care about how fast the startup is growing. They don't care about the size of the revenue today. And why they can't make this same leap of faith for the market, I've never understood.

But if you make a really great decision on what startup to join, it will probably be a smallish market today that's growing really quickly. You know, I saw this morning on the way down here, this is like the ten year anniversary of the iPhone app store. So ten years ago, not very long, the size of the market for iPhone applications was $0.

And a lot of investors, you know, somewhat rationally but obviously wrongly said, alright, well, we're not investing in these iPhone apps because this is a small market. I also saw this morning the Uber deck when they first raised money and they said, you know, their TAM is like $2,000,000,000 or something. And if you think about the world from a certain set of constraints, that was true.

But it turns out that like the market of people that want to move around cities easily grows quickly when you have a better product. So thinking about the growth rate of the market, not just the growth rate of the start up, super important if you're going to identify something really big.

And a related concept to that is the biggest companies that we have been able to be a part of, and I think the biggest companies in the technology industry as a whole, happen when there's a technological platform shift. So for example, the stick with the iPhone example. The iPhone app store launches in 02/2008.

In a period of say 02/2009 to 02/2012, there were a lot of companies that you could never have started before and that all of a sudden you could. Uber is a good example, but there's other ones like Snapchat, which really just didn't quite make sense before mobile phones and apps.

And so trying to identify these platform shifts, that's another place where I think you can find almost all of the big startups. Most people are wrong about this, so you have to learn to trust your own intuitions here. It's very hard to differentiate between real trends and fake trends. The technology journalists in particular seem easy to trick about this, but honestly so is everybody.

And so if you read the news, you're not gonna find the answer here. If you talk to most people, you're not gonna find the answer here. But if you think hard and you really pay attention, sometimes you can. The metric that I use to differentiate between a real trend and a fake trend is similar to loving a product. It's when is there a new platform that people are using many hours every day?

So the iPhone comes out, not that many people buy it, but they use it all day. VR headsets come out, a lot of people buy it, but they never come off the shelf. So VR by that metric is not yet a real trend. And at the point where people start having their headset on hours a day, that might be a good time to start a VR company. The fifth consideration, is the company exciting?

And here's why that's important. The hardest thing to get, especially right now in Silicon Valley, is critical mass of talented people at one company. It's easy to get the first few employees. You can give them a ton of equity. Give them big job titles, but that stops to work. And then you get to employee 30, employee 300.

Why are they still gonna join rather than start their own startup, join a small startup, go to Google? And and this ability to have an exciting enough mission to be able to concentrate talent, this is why I think it's easier to start a hard startup than an easy startup because people care. And if you don't have this, it's really hard.

I have basically in my life tried, had to recruit a lot for two different startups. One was a company I started long time ago that did social networking on iPhones, and another was OpenAI. And in the first one we could tell people like, hey, know, like you should come do this. It's really cool. And it was kind of cool.

In OpenAI, we can say like, you know, if we don't do a good job or if someone does not do a good job building AGI, like the world will very likely get destroyed. And we need you specifically to do this piece of it. And if you don't do that, it's really bad for the world. And that is a really hard pitch to say no to. And so a startup that has a reason why people need to join it is super powerful.

The sixth one is is thinking about how impressed you are by the founders and the early employees at the startup. So as a general observation, it is extremely powerful whenever you can identify something in the world that is true and important and that most people don't believe. And in fact, I think this is one of the two major market inefficiencies that startups get to exploit.

There exists a small number of founders in the world that are so good that they end up bending the world to their will. And they can do this without a lot of business experience. And they are like hundreds of times more effective than people that aren't like this.

And there are programmers that are I know people hate the 10x engineer meme because it's so often used to justify being a jerk, but there are plenty of people who are 10 times as good as average programmers and also nice people. And in companies where you find a lot of these people concentrated in the early hires, this is a huge deal. And these startups consistently outperform.

And the quality of the early people at a company, the quality of the founders is so determinant of success, and it has such a bigger impact than people like to believe or wanna believe about the world, that when you find this, it is one of these secrets about the world that is critically important and that people try not to believe. So I think that's a really great thing to look for.

The other the other big market inefficiency to look for is ideas that sound bad but are good. So most ideas that sound bad are unfortunately bad, and you should try not to join those companies. But there exists a class, and this is where YC has made most of its money, of ideas that sound bad but are good.

If an idea is good and sounds good, then the big companies will try to do it and usually outcompete you. But there's a really important difference between startups and big companies.

If you have the same idea at a big company and you wanna do it, you have to get your boss to say yes, your boss's boss to say yes, your boss's boss to say yes, and then Sundar to say yes, and then Larry Page to say yes. And in that chain of 21 no kills the entire idea. And if the idea sounds bad, someone will rationally so say no. If you're a start up, you may also have 20 conversations.

You may go up and down Sand Hill Road trying to convince someone to fund it, but you only need one yes. And the one yes, you get to go do it even if it's 19 no's. It's very different than what has to happen at a big company. So one idea I often ask startups is, can you tell me why this idea sounds bad to the big companies but actually is good?

And then a final thing that I look at are what this has been a long standing YC metric. What are the smartest sort of recent college graduates excited about? In our experience now over more than, you know, 13 that YC has been in business, that group of people consistently is three, four years ahead of what investors focus on.

And that has been a model for us of identifying real trends before they happen. That group is not always right. There have been some big failures. But directionally speaking, young people I think have more time, they're more on the forefront of technology, they're less set in their ways, whatever it's for.

That, you know, what what those people are going into is an area that we have always looked at. So another question that's related to all of this is how to get good advice about what startup to join. And you have to choose the peers whose opinion you care about in your life very, very carefully.

Most people will have bring whatever biases they have about what a career should look like or what a safe choice is or what a good thing to work on is. They'll bring all that to the table. And most people have let bad processes in behind their firewall, and they will give you bad advice.

And so trying to find a group of people that you can go to in your lives whenever you have a big career decision that are kind of open minded and intellectually rigorous thinkers and who care about the similar kinds of things that you care about, whatever that is, is a really valuable thing to do. I was lucky to find a handful of those people very early in my life.

I still ping them on every big decision. And the advice that they give me, I think, is generally quite good and very different than what I'd get from most of my friends. So finding people who can give you good advice about what startup to join is really important. I was gonna talk about how to think about equity at a startup, but I only have one minute left.

So I will say this, you probably aren't getting enough. I think most startups are not nearly generous enough with employee equity. The difference, the amount of value that you create as an early employee versus a founder, is not the hundred x difference that you usually see reflected on a cap table.

We try to get YC startups to be more generous with equity, and I think over time it's trending in that direction. But like remember, startups need really talented people. Startups need people that could otherwise go work at Google and make a gigantic salary. And I think you should demand to be treated fairly for that.

That's my that was supposed to be five minutes, but there's the twenty five second version. Alright. Thank you very much. We are going to start with company presentations now. And thanks for coming today.

Hi, I'm Jose. We're gonna go alphabetically. The first company up is Armory.

Hello, YC. Armory is here. And we believe that software is the highest leverage way to improve humanity. But how do you feel when you hear deploy to production? How has that gone for you? Maybe.

So.

roll back or fire drill time. But don't worry, Armory is building a next generation deployment platform to help software teams ship better software faster. And we're looking for skilled individuals that want to grow together and learn from one another. And growing, have done tremendously. Last year, we were at $60,000 annual revenue. Today, we're at 1,300,000. 0. There's a lot more to talk about.

Find our booth. Thank you.

Hi, everyone. I'm John. And at Astronis, we are building small, low cost telecommunication satellites. Why are we doing this? Because 4,000,000,000 people in the world are not online right now. It is a huge problem. There are so many people out in the world who do not have the access to knowledge and education and all the things that they need to improve their lives.

The other side of this is this is an enormous business opportunity for the right company to tackle this problem. There's actually very few things in the world that grow exponentially 30 plus percent year on year, and the world's hunger for bandwidth is one of those things. There there really is just few things out there you can imagine.

Sam talked about growing markets, and there are very, very few things where the few places where the market grows this fast and this consistently. So why is this still a problem after all of these years and all of the many billions of dollars that have been spent in space? And the answer, think, is captured pretty well in this picture.

So this is a picture of what telecommunications satellites look like today. They are massive, double decker bus sized satellites that cost several hundred million dollars or half a billion dollars each. With small satellites, we can do the same job at a fraction of the cost. At Astronis, we've already put our first test satellite in space, and it's orbiting right now. Working great.

We launched it a few months ago. We have raised a very large funding round, series a, from a firm called Andreessen Horowitz. So very well funded. Gonna be around for a little while, see this thing through. And we have a spectacular team of engineers.

We're just over 30 people now from Google, SpaceX, Skybox, some of the larger aerospace companies, a huge array of specialties across software, mechanical, controls, you name it, every possible type of engineering you can imagine. And, really, I mean, I just can't say enough about how fortunate we are to have this team.

You may have heard that SpaceX is doing a constellation of low Earth orbit satellites to try and solve this problem, and the lead antenna engineer for that constellation just left SpaceX to join Astronus.

Yes.

Oh, sorry. One other really important point. You do not actually have to have space experience or even embedded experience to join the team. We have a whole group of veteran engineers. They have put the operating system in place. This is more application level code. So please do not let that dissuade you. I wanted to talk a little bit about the company culture.

So we're very hands on. We build lots of hardware. We build it fast. We iterate quickly. You have an opportunity to learn from all these different disciplines and engineers of all stripes, like I mentioned, if you want. We have something we're very proud of, which we call a blameless culture. These things are hard, and we know things are gonna go wrong.

And the other thing is we take work life balance seriously at Astronis. And we have baby goats. It's the most random thing ever, but, we'd love to do trips out to the farms, to farms outside of the Bay Area, do these retreats, and do fun things with the team. And, and that's Astronis. So thank you very much.

Hi everyone, my name is Chris Simanski and I'm the head of engineering at Atrium, a tech enabled law firm for startups. And at Atrium, we're making legal services fast and transparent and we're building a platform that turns documents into data. So legal is broken and we hear this from our clients all the time.

With quotes like this, Atrium works to fix legal and we do that with a fully digitized legal services platform that's powered by both real lawyers and AI. So our team of lawyers makes better decisions thanks to our AI technology. This is a massive market over $400,000,000,000 per year and it's highly fragmented with the top 25 law firms only holding a 13% market share.

There's also very few, in fact only one law firm startup who's tackling this market, and that's Atrium. We employ cutting edge ML technologies and every day we work hand in hand with both lawyers and you'll see here engineers and lawyers working together. We're working to transform an extremely outdated industry and lowering barriers entrepreneurs to get access to legal services.

We'd love to have you join our team. We're hiring software engineers and you'll get to work with Justin Kahn, our CEO, myself, head of engineering, Max Cantor, our head of data, and our 20 other engineers. We'd love to have you apply at atrium. co/engineering. Thank you so much.

Oh, is she? I'm sorry. Sorry. You're next? Sorry. Okay. Wait. How how does this go?

Big button. Okay. Big button. I don't have a I don't have slides to take them on. Okay. Yeah. Cool. Hi.

Hello? Hi. My name is Tammy Sun. I am the cofounder and CEO of Carrot Fertility. We make customized fertility benefits for modern companies. What does that mean?

That means that we make it easier and more affordable for employees to access everything from personalized fertility education through text, video, voice chat with fertility experts, data driven learning modules, and making egg freezing, IVF, and everything in between all the way to surrogacy easier and more affordable. And so our mission is fertility care for all.

The first goal of our mission is to make fertility benefits and CARET in particular as standard in the modern workplace as medical, dental, and vision coverage. This is a mission that has met its moment. Today even, more than 50% of millennials believe that fertility should be equal with dental and vision as coverage at work.

And so these trends have helped Carrot become the leading provider of fertility benefits in The US for mid market companies and we're moving very quickly into the enterprise. We have thousands of members who we call employees across the country, and we're operational in nearly 30 countries around the world. So why join us? Well, there's three reasons. First, it's the product.

What sets our engineers apart is that each of them is a key player in every aspect of developing the product. You're not just simply releasing release after release. You're going to help decide what to build next, and you're going to be responsible for making sure how we measure success after the release. The second is product market fit.

So we know that companies want Carrot, and we're really lucky and proud that companies who are working with us love it. So we're really proud to be working with some of the most important public and private technology companies in the world, but we're also breaking into finance, media, real estate, and even retail.

So the market opportunity is enormous, and this is a really exciting time to be at the company where you're gonna be pushed and challenged to be doing way more than probably what you're qualified for. And the last is that this is a mission that matters. And if it matters to you, then this is my promise to you.

You're gonna have the opportunity to do some of the best work of your life on a solution whose time has come. And in exchange, Carrot and me personally promise you a 50 x opportunity for growth in ways that you won't be able to achieve anywhere else. So I'm here today with my product engineering team, Pat, Dan, and Arun. Don't know where you guys are if you could raise your hands.

Please come find us afterwards to talk about fertility, what we're doing, why we're doing it, how we're doing it, what's egg freezing, and why you might be our next teammate. Thank you.

Hey, guys. I'm Dave from Chartio. And our mission, we call it join people on data. And basically, what that means for us is Excel's been around for about thirty years. Anyone can work with data. It's it's really easy to use. But as soon as the data gets bigger than a spreadsheet, as soon as you're working with databases of data, all of sudden, you have to know SQL. You have to be a data scientist.

You have to be an engineer to work with it. We think that's really stupid, and and we're out to solve that. One of the ways we've solved it is we've created what we call Visual SQL. We've made SQL visual. So it's just drag and drop, and you can do it. It's a way better way to explore data. Just like Windows made DOS visual, so way more people could use computers. We've done that with SQL.

And it's one visual drag and drop language that works with all the databases, Redshift, MySQL, Hadoop, PIVE, like all the databases, also Salesforce, Marketo, HubSpot, all the different sources of data you could be coming from. One language for all, and then we make it really easy for you make charts and dashboards and share that with your whole team. So we're in the BI space.

We compete with, like, Tableau. We consistently get rated just really, really well. There's four main categories that that were rated on in our space, and we have a lot of competitors. And we're number one in three of those categories and number two in the fourth. So we do really awesome. Because of that, we have 800 some customers and some really great brands.

These guys are using primarily Chartio as their main data tool, and we're profitable. We've done all this with 10 or less engineers. Our competitors have hundreds of engineers. We've done this because, one, our engineers are really awesome. Two, we just keep really good coding practices. We keep minimal technical debt. We have really strong coding review processes.

We keep really pragmatic about our code base, and it's never been a better time to build more features onto Chartio. We we keep it that way because this will be a product that that will always have continually more and more interesting awesome projects to build on top of it. It's like a data language. There's all kinds of things to continually build on it. So we know that.

So we're looking for more senior senior and mid level engineers to join our awesome team, and we're also looking for some junior year junior engineers who are really smart and and interesting learning from a really top notch team. So thanks a lot.

Hi, everyone. My name is Jonathan, and I'm co founder and CTO at Checkr. At Checkr, we do background checks. We started four years ago and built an API and then discovered a lot more issues around the industry. There's a lot of unfairness, a lot of inaccuracies and a lack of transparency, and we are working to change that.

Every month, we work with great customers such as Uber and Lyft and run one one million background checks every month. Our team is more than 200 people, and we are profitable and making money. On the engineering side, I wanted to highlight a few challenges we have. Identity matching is really hard and it's core to the accuracy of the background checks.

We use ML to improve automation and efficiency and it's in production. Platform reliability is also really key as we process millions of transactions every month. And it's really hard because we work with 10,000 plus data sources that are really unreliable and unstable. And then every features that you would work on would touch millions of users. Come come chat with us and learn more. Thank you.

Hey, everyone. I'm Chandan, cofounder of Cointracker, a portfolio and tax manager for cryptocurrency. Raise your hand if you own cryptocurrency. Alright. Pretty tech savvy crowd here. Basically, what Cointracker does is it integrates all the top crypto exchanges and wallets into one unified dashboard. And with the click of a button, you can file your crypto taxes too.

Underneath the hood, in order to file your taxes, we are building some foundational tech that relies upon billions of rows of pricing data across over 2,500 coins, over a hundred exchanges, and it complies with the local regulations in different places, all under a simple easy to use interface.

Since we started building this in September, we've grown to over $350,000,000 of crypto assets tracked, over 55,000 exchange accounts generating over 300,000 of revenue. And this puts us in a unique position. To now, we can build even bigger products, such as a unified front end for cryptocurrency, noncustodial wallets, and enterprise crypto accounting software.

And we're backed by some of the best in the industry, including the cofounder of Reddit, the founder of Protocol Labs, the first seed investors in Coinbase, and a bunch of others. Previously, I was a product manager at Alphabet. My cofounder John was a Google software engineer and successful founder, and now you have the opportunity to be a founding engineer at a hyper growth startup.

Come find us afterwards in the blue shirts to learn more. Thank you.

Hi. We're CrowdAI, and we're building an API for change detection for aerial satellite and SAR data. Why are we doing this? We're trying to replace large scale operations that are primarily manual. Why is this interesting for you guys to join? Well, we're solving a two pronged technical problem. Right?

The first is the lack of training data for segmentation, and we currently have one of the largest segmentation training datasets in the world in over a 26 countries. And secondly, we have built our own convolutional neural net architecture for segmentation of geospatial data. In fact, we recently placed that CVPR. So what are our customers using our data for?

We currently can find roads better than what's on Google Maps and on OpenStreetMaps, and we work with ride sharing companies and mapping companies. The same product that we have built is also used by the US government for various finding different types of objects.

The same the same type of tool that we use for ridesharing companies, mapping companies, We also use for insurance and utilities companies. In this case, we find destruction post wildfires in Santa Rosa as well as flooding in flooding in regions after hurricanes. We currently have rolled out a new product for E and P companies.

We're one of the only companies, if not the only company, that can find fracking on a weekly basis, if not daily basis. Why are we so good at what we do? We've got a fantastic team of 10 from Google, OpenAI, IBM Watson, and of Oxford. Please come join us as a machine learning engineer, and please talk to me and my colleague Jigar over there in the back. Thank you.

Hi. My name is Yan.

Hi. I'm Varsha.

And I'm Max. And we're from DoorDash. Now I was mingling a little bit earlier and people asked DoorDash, are you guys still a startup? And we are a startup. We're still a startup. It's been, you know, four or five years. I think one of the advantages of being an older startup is that the founders can now send people to events like this. So I'm not a founder, but I represent DoorDash.

And so what what is DoorDash? I think most of you know what we are. We're a technology company that specializes in food delivery and last mile logistics. I know we're known for food delivery, but we are actually expanding into other verticals like groceries. So you may have heard, this spring, we actually started a grocery pilot with Walmart. So we're growing very, very quickly. Now some fun facts.

This spring, we raised 535,000,000 from top investors like Sequoia and SoftBank. We deliver food from over a hundred thousand merchants across the nation every day. And we're expanding into cities new cities every week and expect to be in 1,600 cities by the end of the year. Now there is, you know, something with a more mundane service or ordinary service like food delivery.

But I think one thing you should think about is why do we take it for granted? And we take it for granted because that's where society is trending. So in a world where you, same day delivery becomes ubiquitous and is actually the norm, you know, that's kinda what we're thinking about, and that's where we are sort of taking our platform. So come and join us. Our booth is pretty obvious.

So I you know, we're we're good we're very good people. Work with us and and get, you know, 80% of the startup experience without all the risk. Thank you.

Hi. I am Peter, the CEO of Emburse. We issue corporate cards that enforce expense policies. So as an employee, when you spend on behalf of your business, the expense is preapproved, a report is generated, and a budget is tracked in real time. We started the year with just two full time founders, and we're now at nine employees with three engineers.

We have 200 paying clients who collectively spend more than $7,000,000 a month using our product. We've been able to scale our business to its current size with just three engineers by being disciplined about code maintainability and by preserving a simplicity of infrastructure.

I was one of the technical cofounders of a company called Crocodoc that was acquired by Box, and I've had years of experience working with the other two engineers on the team. Together, we've launched credit cards using both Mastercard and most recently on the Visa payments network as one of the first expense solutions to launch a product using Stripe's new issuance API.

As we build our business, we're looking for an engineer to take ownership of a sizable piece of our infrastructure by augmenting our fraud detection algorithms using machine learning or by designing new bot interactions for our Slack integration. Again, my name is Peter, and I'm joined by Cameron and Winston, the other two engineers on the team.

We have the only purple table in the other room, and I hope to talk to you afterwards.

Hi. I'm Jared Sehoeffer. I'm the CEO and cofounder of Enzyme. I'd like you all to remember three numbers, four, seven, and 10. Average time in the market for a new software medical device is four years. For a hardware device like a pacemaker, it's seven years. And for a new drug, ten years. Why is that?

Well, it's kind of a complex question, but this is one reason. That's an FDA submission. And, yeah, that picture was taken in the sixties. We've evolved a little since then. You can send PDFs now, but you still have to send a paper copy. Bottom line is that if you're in life science tech, you're dealing with enormous quantities of data.

The problem is that regulated companies have terrible information systems and this leads to things like rote work doing paper pushing, delays, and arbitrary decision making. The good news is as software engineers, we have an idea on how to fix the terrible information system part. How do we do it?

Well, we combine a Rails web app with an NLP ML back end that extracts data that users upload and programmatically writes FDA submissions. And even though we're working in a regulated environment, we still follow software development best practices with hourly CI and weekly deploys to production.

Most importantly though, by automating the FDA approval process, we're helping life science innovators get their products to market one to three years faster than they otherwise would. And our customers are making some really really cool stuff. If this excites you, we'd love to talk. We're hiring for both full stack and NLP ML roles. Thank you.

Hey, everyone. I'm Michael from Vocal Systems. For the past several decades, there's been little to no innovation inside the four walls of brick and mortar retail. Whether it be inventory management, like out of stocks or what's going on here? No. Bear with us. Cool. Yeah.

So where I was leaving off is inventory management is a big problem with inside brick and mortar retailer. There hasn't been much innovation. How we find things on sale or items in the store and the checkout process in general is extremely inefficient. There's a lot of friction there. And all the friction inside of brick and mortar retail right now is driving a lot of us to go and shop online.

What we're doing at Focal Systems is we deploy hardware and software inside retail environments. And we use images to provide solutions like out of stock detection, automated checkout, or indoor location to let you know where you are while you're traveling throughout the store. Currently, we're working with six of the world's biggest retailers to solve these challenges.

And we're looking for deep learning engineers, mechanical engineers, web engineers, and data scientists, to scale our business. Come talk to me at the Focal Systems booth. I'm looking forward to automating brick and mortar retail with you.

Hello, everybody. I'm Rock, and I head engineering for Her. Her is the largest world's largest LGBTQ female space and queer consumer app. We run our mobile app that is used by over 3,000,000 users in 55 countries. We reach 48,000,000 people per year and we organize over a hundred events that attract over 80 gay people.

Our goal is to make home for world's identities, and we want to make every lesbian, queer, and bisexual person feel at home with us. Our core values that we feel reflect the entire team is that we're great together, that we foster ownership and responsibility, that we try to learn, master and contribute back to the team. And we are kind of low in ego, and we always struggle to do more with less.

Some of the things that engineers have done on our team recently is a deep and wide deep learning recommender for meeting new people. It's a scammer detection tool using NLP, and we've recently internationalized both mobile apps. First language, French, for for many more to come. Currently, we're mostly looking for mobile engineers.

We're kinda looking for thoughtful product oriented engineers who care enough about UX and are going to help us create some space that has been like traditionally super underserved into something that community will feel and take for its own.

And we all work tirelessly on this goal by believing that this is something bigger than us, that we're creating a better new future for a lot of the demographics that have traditionally been overlooked. Thank you very much.

Hi everyone. I'm Betsy Larkin. I'm the founder of Honeylove. We are a direct to consumer fashion brand that makes clothing with built in targeted compression that accentuates body shape. We are part of the current YC batch, and we're hiring a founding CTO. Some of you might not be familiar with this space, but we've been able to prove that there's a strong demand for our products.

We raised over $300,000 on Kickstarter in the spring. And this past week, we started shipping and also launched sales from our website. And in just the first week, we brought in over $30,000 in revenue and are also profitable right out of the gate. In terms of the founding CTO position, we're looking for people who are passionate about creating amazing ecommerce experiences.

So on the front end, custom checkout flows. On the back end, fulfillment warehouse inventory management software. And then as the third team member, you guys would also be instrumental in helping us to build out the team. So if that sounds interesting to you, please find me. Thanks.

Hello. Hello. My name is Alex Harmsen. I'm one of the cofounders of Iris Automation. We build collision avoidance systems for industrial drones, drones that are being used for railway inspection, farming surveys, mining exploration, even things like package delivery and air taxis.

About a year ago, pretty much every single aviation authority around the world mandated this type of collision avoidance system to be onboard millions of drones everywhere. Essentially, these drones can't be used for any sort of beyond line of sight operations, anything autonomous, anything scaled, any one of the industries that I just mentioned without this critical technology.

The way we build it is we use computer vision and AI software to be able to allow these drones to see the world the way a pilot does. And this is not easy. I mean, essentially, we're trade taking these current drones, and we're adding these systems to them to be able to actually allow them to see objects at thousands of feet away in real time with size, weight, and power constraints.

This needs to be aviation quality, a problem similar to self driving cars, but way harder. We do this by modeling human perception and really understanding how pilots see the world. Ultimately, it's software. We're able to do remote software updates, continuously improve the product using the latest embedded GPUs and cameras.

And we do this by layering sort of traditional geometric computer vision algorithms with more semantic understanding through artificial intelligence. So far, we've collected more than 50 terabytes of data of real collisions. We have a chief pilot on staff. We have drone operators.

We're going out into different landscapes, environments, different conditions, and collecting all of this data, as well as all of our customers internationally. Not just that, we're being we're able to do hundreds of thousands of collisions in simulation, in hardware in the loop environments.

We've built up an entire architecture behind the scenes to make sure that every new algorithm is tested and is worthy for the world. We currently we have a 25 person team. We've raised over $10,000,000. These systems are actively going out, and for us, it's a combination of people from the self driving car worlds, avionics.

Me and my cofounder me and my cofounder, we came from Boeing and NASA originally with lots of experience in the drone space. So if you're interested in any of what you just heard, specifically for computer vision experts and anyone who has worked on c plus plus, come and find us. We have a booth in the other room and a huge sign that you won't miss.

Hi everybody. My name's Andrew Cory. I'm the CEO of Level five. So autonomous cars. They're like a really hot thing in 2018. And there's so much hype. But autonomous cars still suck. And that's really sad.

So we make maps. Maps, you say. Haven't maps already been created? No. We make HD maps. And HD maps are really different than regular maps because they're these three d representations of the environment. It includes everything from lane lines, traffic lights, signs, pedestrian crosswalks, pretty much everything, you name it. And so we're mapping this using cameras and computer vision.

And how do we do this? Well, we have a program called Paver. And if you have an iPhone, you can download Paver and make money just by driving. So we have a lot of Uber drivers on the platform doing this for us. And Paver's a really special application because it has on edge machine learning. And we really get your phone cooking. Like we use metal, we use core metal, we use everything.

We're running powerful computer vision algorithms to do segmentation, to detect cars, pedestrians, lane lines, buildings. We literally get your phone cooking. It uses 5% of battery every two minutes or something. So basically what I'm saying is we need people to help optimize this. We have over 10,000 drivers.

So we're getting a ton of data and we have like 500 terabytes or 500 We have almost a petabyte of data. And so we take all this, the reconstruction happens on the phone, but then we send all these point clouds up to the server, and we aggregate all this stuff together server side to create these really, really high detailed centimeter level maps of the world.

And this is like really important for self driving cars. It's like a git diff for maps. And self driving car companies really need this. But we really need you, especially if you're an iOS engineer or just someone interested in mapping or autonomous cars or vision or anything like that. Come talk to me. So, yeah, come map the world with us. Thank you.

That's funny. Just one minute.

So every company you're hearing from today has the potential to shape the world, but they all have one big problem in common. They can't hire enough talent. We're fixing that. Make school is a new model of college focused on training students for high growth tech companies like all the companies you're hearing from today. We're starting with computer science.

Eventually, we might look to robotics, biotech, and more. We have placed our alumni at Google x. We've placed alums at OpenAI. One of our alums leads mobile at LimeBike, and about 40% of our students get offers from y c companies. That gives you a sense of the talent that's coming out of here. But we also care a lot about diversity.

40% of our students are underrepresented students of color and 50% are low income students. We are the first bachelor's granting institution where students can graduate in only two years and they can pay tuition as a percentage of earnings once they graduate. Instead of building software, we want you to build developers. But this is not just like any teaching job.

This is like being a senior engineer mentoring and coaching junior developers. Our school feels much more like a workplace than a classroom. Building developers will accelerate the future and maximize your impact. It's really high leverage because instead of working for one company, you're training an army of students to go work at all of them.

You should work with us if you're passionate about teaching and coaching and mentoring. If you wanna build a scalable system for upper mobility for all the people who don't have the opportunities that we do. And you wanna help accelerate economic growth everywhere in the world. Thank you.

Got.

some giggles. No. We're serious. Okay. Hi. My name is Houa. I'm the CEO and cofounder of Meadow. We build cannabis SaaS.

So our products include retail point of sale systems, inventory management, compliance reports, and delivery. We process over $10,000,000 of weed per month and it's growing. Our mission is to build the best software in the cannabis industry and it's growing from $9,700,000,000 last year to $47,000,000,000 in the next ten years. This is our team.

We're a team of 10 people working together in San Francisco. Our engineer team is four. Three of which are my co founders. So you, one of you lucky or two, will be our next second or third engineering hire, which we're really excited about. Our front end consists of three react apps that power the point of sale, the power, the dispensary management system.

And then we have one iPad point of sale app that's deployed across all these dispensaries in California. We utilize Node. Js and really run the latest version, utilize the latest JavaScript, technology such as async o eight. Come say hi. My co founder Scott and Rick are here wearing wearing our meadow shirts. We're looking forward to hanging out with you guys. Thank you.

Welcome. My name is Keith with mystery. org. We create video explanations for kids' questions, like why is the sky blue? Most questions that children ask, grown ups don't know how to answer. Eventually, kids stop asking, and their curiosity fades away. So we're creating explanations for every question kids have. Think of us like a visual Wikipedia for kids.

We're already used by teachers in 50% of elementary schools in The US. We'll do nearly 8,000,000 in sales this year. And now we're scaling our platform to answer every question and reach kids everywhere, and we need a couple engineers to help us. There's 30 people on our team. Eight of them are engineers. These are teams, former Facebook, Palantir, Google, and we move fast.

We deploy code a dozen times a day to production. But that's just table stakes. We're looking for engineers that are passionate about creating great product experiences. You'll work closely with our designers, our customers. You'll make product decisions, and you'll be surrounded by a group of people that you'll learn from every day.

People who've contributed to Rails, people from the bundler core team, people who find Ruby a little slow and will drop into c and write a custom gem. But what is it that you're building? This is a new kind of wiki software. Wikis are great for a group of people to collaborate on creating a text document.

We're building a platform so a group of people can collaborate on creating video explanations for kids. So come join us if you wanna help the next generation of children grow up and stay curious. We'll be across the way. Thanks.

Who here rents? Cool. 93% of landlords use credit as the primary indicator of who they're going to rent to. 67% of people under the age of 35 have subprime credit scores in America, and less than five percent of people will ever be evicted in their life. When it comes to renting, credit is broken, but we figured out how to fix it.

So Neighborly is a credit bureau that has built an AI based credit score for the rental industry that helps landlords know who they're renting to while helping tenants access fair credit and build their credit by just paying their rent. We give our product away completely for free, and we which includes a credit report, criminal background check, everything.

We make money selling renters insurance, and that's allowed us to grow from a thousand to 350,000 rentals in eighteen months, which is like one half of a percent of America now using us. That means that every day, 20 people at Neighborly decide where thousands of people live, which is a responsibility we take super seriously, and that's what we need your help with.

So if you wanna solve hard problems with real world applications of AI, building inclusive user experiences that, like, really need to matter for a incredibly diverse group of people, and you wanna have an impact on something that really matters, like housing and credit in America, then you should come talk to us. Thank you.

Hello. I'm Scott Patterson. I head up the engineering team at Notable Labs where we're doing personalized drug discovery for blood cancer. So the basic idea is that we take a patient's actual cells, we test different combinations of approved drugs, and we see what kills the cancer and keeps the healthy cells alive.

We focus on combinations because many of the driver mutations are very difficult to drug with a single drug. And in blood cancer particularly, if you start with a single drug, it may lead to a resistant clone and relapse of the cancer. Broadly, our goal is identifying personalized combinations of approved drugs that a patient can use today.

We're using the same platform to do drug discovery, so both internally and in partnership with a number of pharma companies. The platform we're building consists of our proprietary biology, where we're miniaturizing the microenvironment around the cells so that we can scale up and do the number of combinations that we need to test.

We have our custom built software machine learning to handle automating the analysis and handling these complex scientific workflows. And we've automated the whole thing with robotics and lab automation so that we can scale up and have a reproducible assay. We're actively hiring software engineers, data scientists, and cancer scientists.

So if you want to work on an awesome mission where you can have an impact on patients' lives today with a team of super talented and diverse engineers and scientists on a modern tech stack, come and talk to us. Thank you.

Hi, everyone. I'm Lucas from, Nova Credit. I'm the CTO and cofounder. And, Nova is the world's first international credit history platform. And we have successfully raised a series a recently and are backed by General Catalysts and Index Ventures and, of course, actively hiring. And I wanna tell you a little bit about about our problem first and then our solution.

So what is what what is it that we're solving for? The problem is that immigrants today, they just cannot get credit in foreign markets. So all of your credit histories that you have and your borrowing behavior and your payments details, they are stuck in their market. And this is a really big problem. This is a really big problem because if you get into a new market, you wanna get started.

You wanna get, like, rental. You wanna, you know oh, sorry. Rent an apartment. You wanna get a credit card. You wanna lease a car. So how do we solve this problem? We solve this problem by having one API for global data. So this is creating one standardized format across the world for credit history data.

We we aggregate from database across all over the world and expose that with one unique API data points. So why do you wanna why why why should you work at Nova? So we have technical challenges that are really interesting. So we have massive ETL pipelines. We have infrastructure systems that need to be cross region.

I need to talk to each other at all times, and we face a lot of graph machine learning problems because of all these database across the world. So come talk at us sorry. Come talk to us at our booth. We have talented 30 people at our San Francisco office. It's a beautiful office. And, yeah, just come talk to us.

We are looking for infrastructure system engineers, back end engineers, front end engineers, full stack engineering, basically across the board. Thank you.

Hi everyone. I'm Kevin, the co founder and CEO of Pathrise. We are y c for careers instead of companies. So what does that mean? That means we help and mentor students and young professionals to get the best possible job and find fulfilling work. Everything from outreach tactics, to resume review, to interview preparation, and to negotiation advice.

One of the things to keep in mind is that we're not a coding boot camp, we're not an interview prep course, we're not a replacement for college. Instead, what we do is we guide you through your job search afterwards and help you figure out the stuff in your early career that nobody else is gonna teach you. The catch is it's completely free until you get hired and start work.

The whole point is that our fellows pay $0 out of pocket and instead we recoup our investment back from an income share of their salary only after they've already started, their employment. It's affordable to anyone, accessible to anyone online, and we actually have aligned incentives with our fellows.

You might want to join our team if you want to do more than just code and would love to spend a significant amount of your time working with students that are aspiring to be engineers. You might want to join our team if you want to fix a broken model of career services that it's ridiculous how far and how bad it's gotten.

And you might want to join our team if you're not looking for a company that's building the next big social media app or gadget. You're not looking for a company that's going to maybe provide marginal utilities to hundreds of millions of individuals.

Instead, you're looking for a company that invests in every single fellow that we go through and one where I can say that even if we collapse today, there's a hundred students where we've literally changed their lives. And for those of you that are less experienced and aspiring engineers, for those of you that are still students or recent graduates, come talk to us.

We'd love to give you free advice, and any help you might need, no strings attached. Thanks.

Can you click for me? Hi. My name is Tracy Young. I'm one of the cofounders and CEO of PlanGrid.

Hello. My name is Ralph Gudi. I'm the CTO and cofounder of PlanGrid.

PlanGrid builds beautiful, simple, powerful software for the $14,000,000,000,000 per year construction industry. We are part of Y Combinator's winter two thousand twelve batch. In the last six years, we've helped build over 1,000,000 construction projects. Today, we have customers, paying customers in over 80 countries.

You probably don't know this, but one out of every 10 people in the world eat, sleep, and breathe construction every single day. And for us, it's a privilege to be able to write software for some of the hardest working people in the world.

As an engineer, what excites me about Plain Grid is not only do you get to work on deep technically challenging problems, you also get to work with customers that you get to know that love you, that love your software, and that rely on it to get their job done. So we're hiring across the board. We're hiring mobile developers. That's iOS, Android, even Windows.

We've got web, back end, Python, data science, machine learning. We're hiring everything. We've got a modern stack just like everybody else here.

We're a diverse team of three fifty people and growing. We deeply care about fairness in the world. In 02/2016, PlanGrid took The United States equal pay pledge, and I am proud to share that we pay our men and women equally. We also have thank you. We also have great benefits for individuals and families, and, we pay well. And we would love to meet you. Plangrid.

com, Ralph, move your head, slash careers. We're also by this big ass fan over in the other building, so come talk to us. Thank you.

Awesome. In middle. Middle? Okay. Perfect. Hi, everyone. My name is Avni, and I am the founder and CEO of Poppy. Our mission is to build the modern village for every family.

Right now, we're doing that by building the platform that connects parents with amazing vetted caregivers when they need childcare. Why is that important? Well, there's a shiny, happy version of parenthood out there, and then there's the super messy kind of reality. The reality that needs lots of help and support, but for lots of reasons doesn't exist.

But we believe that you can do that with the amazing people that live in our communities and with a little bit of thoughtful technology. Our general thesis is that if you can connect parents with the people that they trust, are available when they need them to be, and are really good fit for their families, you can really approximate that idea of village.

And the amazing news is is that over the last two years, we've been doing that. For thousands of families in Seattle, we've been creating that experience that Sam is talking about that you're looking for, that really fanatical product that is really solving real problems for people both on the parent and family side, but then also importantly creating really amazing jobs on the other side.

But we're only just getting started. If you think about how to scale this kind of marketplace, there's so many interesting and hard problems to work on. What is the right matching model when you're talking about people and families and kids? How do you think about supply and demand optimization? How do you think about automation when you're thinking about people?

And overall, just how do you create really simple and seamless technology that almost disappears and becomes invisible within people's lives? So we're looking for people, smart people, that wanna solve a really hard, really important problem. And join our team in Seattle, who is made up of really fun, amazing, dedicated people that really wanna solve this really important problem.

So if you want to solve a real world problem, build features that get into the hands of our users the next day. If you're driven by talking to users and really iterating and understanding how a product can help them. And if you wanna use your superpowers for good and live in a city that you can actually afford to live in, come come talk to me.

You can either catch me on Twitter or find me at the booth in the other room. Thank you. So great. Hello.

everyone. I'm Chris. I'm the CEO of Precious. Precious uses AI to organize the photos of your kids. Here's the problem. My daughter is three years old and I have 20,000 photos of her. In 2018, that's normal. Our technology will scan that mess gotta figure out which way I'm holding these.

We'll scan that mess, find the meaningful moments, and build the perfect album for your kids. We believe that this is important. We believe that this is important because we believe it's very important to make families happier and stronger. We're a early c stage company, and we're only three people. But we already have a lot of traction.

Users love our early products so much that they've given us four and a half star reviews, over thousands of reviews, and we have 62,000 subscribers who pay $5 per month to use our app. And these are subscribers over 100 countries around the world. That translates to almost 3,000,000 in annual revenue with a three person team.

Joining Precious won't be for everyone, but here's why it might be awesome for you. You'll get the impact, responsibility, and equity of joining an early stage company that also has revenue and profit. On a small team, we really do want you to take tons of responsibility and ownership, come up with ideas on your own, and ship them to users quickly. And finally, we're not a sweatshop.

We truly value work life balance. I have two toddlers, and I get home to have dinner with them every single day, except for tonight because I can't get home to San Francisco in time. So in summary, we are precious. What we offer to you is a chance to use AI to organize the photos of people's kids.

We want you to take big responsibilities on our small team and you'll get a chance to come to work to make families happier and stronger every day. If that sounds interesting to you, please come find me and my cofounder wearing the icon of the smiling baby later. I would love to chat with you. Thanks.

Hi. My name is Phaedra, and I used to run revenue and operations at an Andreessen funded startup. And I realized that technology actually had the potential to do incredible good. And so a friend and I co founded Promise, and we're helping people get out and stay out of jail. Right now, seventy five percent of people in jail have not been convicted of the crime they were arrested for.

They're there because they cannot afford bail. Two thirds of those folks are bail eligible are nonviolent offenders who are stuck in jail. What we know is the longer you stay in jail, the more likely you are to go back to jail. The more likely you are to lose your job, the more likely you to lose your housing, the more likely you are to have serious consequences. So what do we do about it?

Well, the good thing is that there is a solution with software. First, most people are likely to go to jail for technical violations. That's like they miss an appointment with their probation officer. And so software can actually help figure out how do you make your appointments, where should you be, how do you speak and connect. We can do all of that through software.

More importantly, we can give people tools about how to analyze data so that we can start to figure out who should not be in jail. We have an incredible team, Mike to my left, got from Uber. Who wants to work at that little start up when you could work here? We stole our engineering lead from Stripe. Again, I mean, come on. Big choice. Promise.

And so we have an incredible team of people who have not just raised money from incredible investors like First Round Capital and Jay Z, but that we are committed to social change with the best people leaving the best places to create a company that actually can create equity and use technology to scale justice. Thank you.

Wow. What a motivating start up. Let's give it up for promise. That was awesome. Yeah. I'm one of the founders of a company called Quadzi. I'm Jay, and this is Sylvie. And we are here to talk about how we accelerate the pace of scientific discovery.

So what is Quartzee? We've built the operating system for scientific labs all over the world. And labs use us to run their operations, and the way we make money is not through the software. We give the software away for free so labs in India, in China, all over the world can benefit from the software productivity. We make money when we labs buy their supplies from us.

So what we are doing is pretty hard. We build world class software for companies all over the world, and we give it away for free, and we make money when we ship supplies to them. So it's Salesforce and Amazon put together. We have a million cubic foot warehouse in the East Bay, and we are opening up a new warehouse on the West Coast in the coming year. So who are our customers?

This is Elizabeth Elizabeth Blackburn. She got the Nobel Prize in 02/2009, and she's one of the nine Nobel Prize winners on Quad C today. We have more scientists who won the Nobel Prize using our application than any academic institution in the world. But it's only not small labs. Biology is gonna reshape the way we live.

The same way that physics and computer science changed the twentieth century, biology will reshape the twenty first century, and we are building a platform to make that happen. One of our customers is using molecular biology to make plant based protein, and they buy from us. But that's not just startups. We have publicly traded pharma and biotech companies who use us and buy from us.

We have 4,000 customers nationally. We have made $30,000,000 in sales this year. We are a 60% company, so it's a right time to join us where we sort of like proven out the business model, and now we are gonna scale this up globally. And why do you work with us?

So what's it like to work at Courtesy? I think at Courtesy, you'd be joining a team of the most genuine, ambitious, and driven people that I've ever met. And we focus not only on helping our the scientists, but also helping each other succeed.

So come join us, know, we're located HQ in Palo Alto, if you like the sunny California weather, but if you like breweries and cheaper rent, we also offer remote positions, so you could be working in Portland, or if you want to be like the stock photo and code in a suit, or take a month off in or not off, but spend the month in Maui, you know, have those remote opportunities as well.

So all coming together, we have science, people, and remote opportunities.

Alright. Hey, everybody. So we're Reach Labs. And Reach Labs is long range wireless electricity, but that's actually useful. So we're able to provide a reliable source of power to any enabled device without a physical tether.

And the reason that we're building this is not only to augment, you know, current devices, charge cell phones, charge robots, etcetera, but more to enable applications that couldn't exist without this technology. And we'd be willing to talk more about that if you come say hi to us. So the fun part is sort of how we do it.

And we use high dimensional adaptive antenna arrays wrapped with a lot of nonlinear optimization algorithmic control to pinpoint devices in a power network with radio transmission. So we're able to send energy through the air just in the same way that WiFi sends data. You know, we're founded out of MIT, so we're kind of nerds for research.

One of the big things that we really like to do is, you know, scrape the world of electromagnetic research, optimization research, and incorporate that into our core products. So our initial applications are actually, unfortunately, not to charge your cell phones, but are rather focused on need to have applications which arise most often in the industrial sector.

So that's, you know, IOT sensors, autonomous robotics, and then charging a lot of machinery concurrently. Company developments. We did just close our series A with Data Collective, VC. So they're a very sort of top tier high-tech firm. So we're fresh with funding, and we're scaling up to be able to make our initial deployments and, take on our first clients.

We've got a pipeline of clients that are waiting, so all we need is the engineers to help us integrate. Like I said, we're looking for talented, inspired people, people that like researching, fast paced paced development, etcetera. We're a very small team. There's only five of us. All of us are here. So a lot of people have talked about company culture.

I think that our culture is best demonstrated by our people. We work out of an old cookie factory from nineteen o three in Oakland. And we're nothing if not eclectic. So you can come see us. We're all wearing these shirts, and we're nice people. This is what we're hiring for, embedded systems, RF hardware, electrical engineering, and software development.

We got a demo running, so we'd love to to chat with you all. Thanks.

So we're gonna get over the phone. Alright.

Hello, everyone. My name is Amjed Masad. I'm the cofounder and CEO of Replit. So it's 2018, and it still sucks getting started into programming. It's really hard. I mean, we're all engineers. Anyone here just loves setting up the development environment? Like, that's something they're looking forward to.

So one one person at back, don't come work for us. But it's still really hard. So, like, imagine if there's a way to get started with programming in just two seconds. An online IDE with zero setup, a full featured IDE. You'll have things like code intelligence. As you're coding, you'll you'll see suggestions, and it's full blown code intelligence for most of the languages that we support.

And we support 40 programming languages. Also, live deployment. The moment you open a port on Replit, you just deploy your app. That's how easy it is to deploy apps. There's a lot more. I know people are are talking a lot, but I I thought the presentation was only ninety seconds. So I didn't put all all the features, will take me an hour to to get through.

But, you know, if you like this kind of stuff, if you like building tools, if you're a hacker, you know, our mission is to get the next billion programmers online. And we're only point 1% of the way there. You know, you do the math. So fun and challenging problems. We're working on a container orchestration system on the back end, distributed file system, and we're building the world's fastest IDE.

So come talk to me afterwards. Thanks.

Hey. I'm David, and we're Retool. Retool is a dramatically faster way of building custom internal tools. So let's say you're YouTube, and somebody's uploaded a really dodgy video. You wanna be able to approve or reject that video. That's an example of a custom internal tool. Our insight is that all custom internal tools all have the exact same building blocks, like tables, buttons, and etcetera.

And so Retool gives you all these building blocks so you can drag and drop and mix and match them together and build any custom internal tool you might want. That's much faster than building it from scratch every single time. And the market is huge. 50% of all code ridded goes towards internal tools.

That might sound really surprising here in Silicon Valley, but that's because our job is to write code for other people. If you think about all the companies outside of the Valley, Coca Cola, all of the code they write is all purely internal stuff. And so so much code goes towards internal tools, and we can make internal tools so much faster, that's a tremendously valuable problem.

We started around a year ago, and we're currently just two founders. So we're looking for our first engineer. We're profitable, and we raise a seed round from the founders of Stripe, OpenAI, etcetera. So if you enjoy working on really hard problems and wanna have a high impact on the product and engineering, come talk to us after. Thanks.

Hey,.

everyone. I'm Alex, CEO and founder of Scale. Our vision is to accelerate the development of AI applications. It's no secret that deep supervised learning is training changing the world, and the problem is really that you require a ton of data to build supervised deep learning. Google's internal street view dataset was more than 2,000,000,000 images for a sense of scale.

What's really interesting is with supervised deep learning in particular, you have a new way to improve your software, and that's labeling ground truth data. So it turns out that for most of these production use cases, labeling ground truth data is the biggest bottleneck for ultimately building incredible applications.

So what we've built is an end to end API driven platform for getting ground truth data. We've only been around for two years, but we've already become the standard for ground truth data in the self driving car and computer vision industries. We work with almost every US based self driving company, including companies like Cruise, Zoox, Lyft, as well as tech giants like Pinterest and Airbnb.

The real challenge that we have is using AI and great user experience to make humans very efficient at this task of labeling. There is no better place than scale to work on problems like active learning and semi supervised learning to make the process of getting tons of high quality ground truth data very efficiently. Our team is really, really incredible.

We just wrote a blog post that shows everyone's backgrounds that you can read about. They hail from companies like OpenAI, Google, Dropbox, Facebook, Cruise, etc. We have two IY gold medalists on our team. So I'm very proud of the team that we've built. It's about 30 people right now.

And then we're a series b company, we've been invested in by Excel, Index Ventures, as well as Drew Houston and Greg Brockman. So we're building the AWS for AI, Data labeling is just our first product, and we're really sort of building the shovels in the gold rush of AI. Thank you.

That's awesome.

Hello, everyone. I'm Dan Knox. I'm one of the founders of Science Exchange. Science Exchange is a marketplace for scientific collaboration, or as The Economist put it, we are Uber for experiments.

So our core product is a online platform, enterprise platform that is used by scientists at thousands of the world's top R and D organizations like the one shown here, the life sciences, aerospace, consumer products, and others. We have true product market fit. Since raising our Series C last year, we've tripled our revenue, and it's a really exciting time for the company.

Things are really taking off. So a lot of great companies presenting here today. Why should you think about joining Science Exchange? So let's, run through a couple of reasons. So first, we're a truly mission driven company. Our mission is an important one, to improve the quality and efficiency of scientific research, and it's the heart of everything we do.

Second, we're still a smallish team for a series c company. There's about 80 of us so far, eight zero, with 20 across product and engineering. So it's a scale wise, it's a great time to join the company because it's still a time we can make a big impact on the company's success and there's still a lot of upside. Third, we have a collaborative engineering culture.

It's supportive environment that really supports rapid skills development, career growth, and has a true ownership mentality. Fourth, we have a diverse team. We truly value diversity and inclusion. For instance, our team currently has a fiftyfifty gender split. We have a female CEO, my co founder Elizabeth, and a female VP of engineering. And fourth, fifth, downtown Palo Alto.

We have an office just off University Avenue, short walk from the Caltrain and about to move into a ball and new space to accommodate our growth. So there you go. Five reasons to think about joining Science Exchange. You can learn more at our careers page. Come see me, Debbie or Sean afterwards. Thanks so much.

Hello,.

everybody. Don't fall asleep on me. Okay? I'm Luciano. I'm the CTO and cofounder of Scope AI. We're NLP powered analytics platform for customer conversations. So today, companies receive thousands of unstructured customer feedback every day, and they spend hours manually tagging it to be able to create reports and presentations for their companies.

We automate the entire process which is why they love us. Anybody can log in right now and find out what a customer is saying about any topic and how they feel about it. How do we do this? We plug in directly to all the sources. We extract valuable data from the text, and then we build one of the world's only text based analytics suites to be able to explore that data. What's extraction look like?

So it's it's easy to find out in the text that somebody said cancel, but what's hard is figuring out why they said cancel, and we use things like semantic role labeling and dependency parsing to decipher what customers are saying, how they feel about certain things. On the analytics suite, we're building one of the only text based analytics platforms.

So you'll be building trending trending methods and anomaly detection methods for text, as well as predictive models. So what's gonna happen in December? You'll be building visualizations for text that go way beyond, say, word clouds. But it's even bigger than that. So we have a customer feedback.

We ingest the business actions, and we ingest the financial metrics, that allows us to automate decision making for companies. Why? You know what customers are saying, you know what happened when they said that, and you know what you did to remedy the situation. So you know next time when you what you have to do. Like a DoorDash team said, we're good people. Okay? So come talk to us.

I met my cofounder at Harvard. We have an amazing set of ex LinkedIn, ex Google employees. If you're excited about NLP, if you're excited about ML and production, if you're excited about data, especially textual data, come chat with us. I'm easy to make laughs, so if you wanna come tell me jokes, I'm also great at that.

But, yeah, if you're excited about, you know, really being able to listen to customers and maybe be able to map that to decision making, please come chat with us. Thank you.

Hi,.

everybody. I'm Clem from Shone, and at Shone, we are bringing autonomous cargo ships to market. As I'm sure you all know, autonomy is happening everywhere, in cars, trucks, drones. Yet, today, cargo ships are still operated very inefficiently by a crew of 25 people. So our solution I've shown is to retrofit existing ships with autonomous technology to bring that number down from 25 to 15.

So we started about a year ago, and at that time, we didn't have access to a cargo ship, mainly because they cost a hundred million dollar plus. So we bought a small boat like this one and retrofitted it to prove autonomy. Since then, we've done a lot of work.

We've been through Waze here at the beginning of the year, we've raised the 4,000,000 seat round, and we have a pilot going on with the third biggest shipping line in the world. And that allows us to have our technology installed on three of their cargo ships operating between The US West Coast and China.

In the same at the same time, we've grown from three founders coming from self driving and drones to a team a diverse team of nine people, including seven engineers. And we are looking for many more talented people like you to help us by creating intelligent algorithms to understand what's happening around the ships. But also communicate that information to the crew in a sensible way.

And also make automatic decisions based on that, you know, in order for the ships to be autonomous. We also have a ton of data. Every week, we collect over a terabyte of data for every ship we have. And finally, we need people who can understand how all of the systems on a ship work and help us to integrate our new ships as we are growing. So thank you very much. Come talk to us.

Hey, guys. My name is Stefan, and I'm the CEO and cofounder of Starsky Robotics, and we're making driverless trucks. So some of you might know this, some of you probably don't, but the biggest problem in North American logistics is that it's really, really hard to get a person to spend a month at a time in a truck.

The reason it's it's such a big problem that even though it pays 60 to $90,000 a year without a high school diploma, there's still a shortage of 50,000 drivers. So the problem here is not make something autonomous. The problem is make trucks drive without people in them, and that's what we're doing.

We're making trucks autonomous on the highway where autonomy is easiest, but teleoperated for the first and last mile. This is gonna start. Here we go. So what you're gonna see here is one of our trucks driving down the road in Florida with no person sitting behind the wheel.

The teleoperator comfortably sitting in air conditioning a hundred miles away issues high level controls like changing lanes, changing speed, the types of context based decisions that humans are great at and robots are really hard to teach. We're gonna take we're gonna take people out of the truck and haul freight with them on a regular basis this year, but we need help.

Our core products built on top of Ross with with c plus plus and Python. We're looking for machine learning people with experience in things like TensorFlow and Caffe. We need a lot of help with controls, people with experience with linear and nonlinear controllers, but then we're also looking for full stack engineers, data engineers, and all sorts of other roles.

There's a it's really easy to apply for us. You can just go to Starzky. i0 and and apply right now on your phone or on your laptop. We're Starzky Robotics. We're doing driverless trucks. Thanks, guys.

Very good. And it's just, like, right in the middle.

Hello. Welcome to YC. So my name is Joe. I'm the founder of a company called Universe. Universe is an app that lets you make an awesome website from your phone. While there are plenty of website builders out there, this is the only one designed from the ground up for phones. Here's how it works. Your canvas is a grid.

On the grid sit blocks. A block could be anything you wanna put on your website, whether it's a an image or a song, and you move these around like Lego. Put them and do whatever you want with them. The things people are creating are incredible. The diversity is absolutely staggering. It's inspiring. And It's working. We were part of YC's winter batch this past year.

We hit a 75,000 sites created. And we just closed our series a, a $4,000,000 round by some of the best investors in the Valley, including General Catalyst and Javelin Partners. So now we're growing. We are looking for an iOS engineer, someone who loves building incredible experiences and who wants to help us make our app even better. This is a role who open to anybody, anywhere.

We are a distributed company. We don't have a stock kitchen with free snacks, but we give you freedom and we give you purpose. This is about.

Check.

We believe that everybody should build the Internet, not just people like us. And we build tools to empower everybody to do that. We're looking for our sixth member. We're looking for people who are self driven, whip smart, and wanna be part of something amazing. So find us in the black t shirts. Thank you.

Hi. My name is Hanan. I'm a cofounder at Valance. We build and operate long range, high payload drones. We started back in 2015. We are based in San Francisco, and we're backed by some of the most prominent Silicon Valley VCs. I know what you're thinking. I had the exact same thought when I started the company.

Drone deliveries, isn't Amazon doing that? Well, first of all, the answer is no. Second, we're not planning to deliver your toothbrush to your backyard using drones. We help deliver critical supplies to our enterprise customers in need of a spare part, and we help deliver medical supplies to hard to reach areas affected by a natural disaster.

We also do some super complicated cool stuff, like landing a 15 foot drone on a moving vessel in the middle of the ocean to enable ship to shore deliveries and vice versa. We are a super experienced, smart team of 20 people spread across multiple groups, and we are looking to hire more people for our production and R and D teams.

If you are looking for your next challenge, come speak to us after this presentation. Thank you.

How's it going? I am Max. I am one of the cofounders of Volley, and we make voice controlled games for Alexa and Google Home. So what is a voice controlled game? I got a couple examples for you here. The left one, Yes Sire. It's basically choose your own adventure, interactive fiction set in medieval times, kinda like those old books probably some of you used to read.

The other one, Song Quiz, is sort of a name that tune music trivia game where we play short clips of pop music and you try to name the title or the artist. And that one actually is the number one game on Alexa, which is pretty cool. So why join Volley? Three big reasons I think. One is reach. The second is cool up and coming technology. And the third, look, we literally make fun.

So first thing, huge reach. As I said, we have a number one game on Alexa. We have over half a million monthly active players and growing, and just a small team of eight full time employees supporting that. Alexa and Google Home are exploding. There were over 50,000,000 devices sold last year, and that's gonna double or triple again this year. Technology is the future. Look.

We make voice controlled software. It's pretty cool. We work on speech recognition, natural language processing, and we do it all on top of a serverless AWS Lambda stack. We also get cool sort of early access to Amazon and Google technologies. So if you want beta programs and you kinda wanna know what those companies are up to, we're the first ones to do it on voice.

Finally, as I said, we literally make fun. I mean, my job is to bring joy into people's lives every day, and yours could be too. I think it's a pretty cool opportunity and, you know, gets me up every day to go to work. So we are Volley. We make games for Alexa and Google Home. We have a number one game on the Alexa store. We're working on up and coming technologies.

And look, I mean, if you wanna get up every day and entertain people, come find us afterwards. Thank you.

You can let them know you're the last one.

Alright. Hey, everyone. I'm Brandon Leonard. I'm one of the founders of Instacart. We do same day grocery delivery. It's actually kinda weird. Like, six years ago, was three of us in a building over there, and now here we are, and we sell billions of dollars a year in groceries, and we do millions of deliveries a month.

And we've got a team of about a 50 engineers, about 500 all in, that are helping us do that. And our objective over the next few years is really to be the world leader in online groceries. And our primary, like, you know, goal in that is to build a team to win, and that's something that's inclusive of our shoppers. So we've got tens of thousands of shoppers out in the field shopping every day.

And we're gonna need, you know, hundreds of thousands over the next year to achieve our goals. And that also means, you know, we're about a team of 150 right now. We're hiring about another 200 over the next twelve to fifteen months. So that's where you come in. I think when you think about, like, where you wanna work next, there's a couple questions that, like, people seem to care about.

One of them is culture. So I thought I'd touch really briefly on that. And I'm wearing this shirt that you can't see, but it says solve for the customer, which is our primary cultural value. And at the end of the day, the customer is placing their order on Instacart, getting the groceries delivered, is our North Star, and we're a very, like, customer focused company.

That's something that matters a lot to us. And then as far as challenges and engineering problems and things that we need to work on, you throw a dart and you can hit one. The things that keep me up at night are numerous. And we have scaling problems. We're growing faster now than we were a year ago. We've actually doubled our growth rate in the last year, which is insane.

If you know that's like a completely magical experience. Our team is still pretty small. I think that individually, you can have a huge impact on the trajectory of the company, and I think that you can have a huge impact on your own growth and your own learning, your own success. So I would say come join us.

Come ask us questions about the rest of our cultural values and the things that we care about. Come ask us questions about the rest of our engineering challenges. We've got James over there who's on the catalog team and Michael who leads recruiting. And I'm also last, so thank you so much for your time and thank you for hearing us out.