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Speaker 1

01:00:00

End, custom checkout flows. On the back end, you know, 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.

Speaker 1

01:00:17

Thanks. AUDIENCE APPLAUDS

Speaker 2

01:00:33

Hello, hello. My name is Alex Harmsen. I'm 1 of the co-founders of Iris Automation.

Speaker 2

01:00:39

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 on board 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 1 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.

Speaker 2

01:01:26

This is not easy. I mean essentially we're 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 were able to do remote software updates continuously improve the product using the latest embedded GPUs and cameras.

Speaker 2

01:02:09

And we do this by layering 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.

Speaker 2

01:02:26

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 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. Currently we have a 25 person team, we've raised over 10 million dollars, these systems are actively going out and for us it's a combination of people from the self-driving car worlds, avionics.

Speaker 2

01:03:05

Me and my co-founder, 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++ come and find us. We have a booth in the other room and a huge sign that you won't miss.

Speaker 3

01:03:40

Hi, everybody. My name's Andrew Corey. I'm the CEO of Level 5.

Speaker 3

01:03:45

So autonomous cars. They're like a really hot thing in 2018. And there's so much hype. But autonomous cars still suck.

Speaker 3

01:03:59

And that's really sad. So, we make maps. Maps, you say? Haven't maps already been created?

Speaker 3

01:04:06

No. We make HD maps. And HD maps are really different than regular maps because there are these 3D representations of the environment. It includes everything from lane lines, traffic lights, signs, pedestrian crosswalks, pretty much everything, you name it.

Speaker 3

01:04:25

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.

Speaker 3

01:04:38

So we have a lot of Uber drivers on the platform doing this for us. And Paver is a really special application because it has on edge machine learning. And we really get your phone cooking. Like we use metal, we use Cormel, we use everything.

Speaker 3

01:04:52

And 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 2 minutes or something. So basically what I'm saying is we need people to help optimize this.

Speaker 3

01:05:11

We have over 10,000 drivers. And 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.

Speaker 3

01:05:39

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.

Speaker 3

01:05:56

Thank you.

Speaker 4

01:06:00

That's funny.

Speaker 5

01:06:08

So every company you're hearing from today has the potential to shape the world, but they all have 1 big problem in common. They can't hire enough talent. We're fixing that.

Speaker 5

01:06:19

MakeSchool 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.

Speaker 5

01:06:35

We've placed alums at OpenAI. 1 of our alums leads mobile at Linebike. And about 40% of our students get offers from YC companies. That gives you a sense of the talent that's coming out of here.

Speaker 5

01:06:47

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 2 years, and they can pay tuition as a percentage of earnings once they graduate. Instead of building software, we want you to build developers.

Speaker 5

01:07:10

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.

Speaker 5

01:07:24

It's really high leverage because instead of working for 1 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 want to build a scalable system for upward mobility for all the people who don't have the opportunities that we do. And you want to help accelerate economic growth everywhere in the world.

Speaker 5

01:07:44

Thank you.

Speaker 6

01:07:47

Got some giggles.

Speaker 7

01:07:56

No, we're serious. OK, Hi. My name's Hoowa.

Speaker 7

01:08:00

I'm the CEO and co-founder of MEDO. We build cannabis sass. So our products include retail point of sale systems, inventory management, automatic compliance reports and delivery. We process over $10 million of weed per month.

Speaker 7

01:08:21

It's growing. Our mission is to build the best software in the cannabis industry, and it's growing from $9.7 billion last year to $47 billion in the next 10 years. This is our team. We're a team of 10 people working together in San Francisco.

Speaker 7

01:08:42

Our engineering team is 4, 3 of which are my cofounders. So you, 1 of you, lucky, or 2, will be our next, second, or third engineering hire, which we're really excited about. Our front end consists of 3 React apps that power the point of sale, that power the dispensary management system, And then we have 1 iPad point of sale app that's deployed across all of these dispensaries in California. We utilize Node.js and really run the latest version and utilize the latest JavaScript technology, such as Async 08.

Speaker 7

01:09:19

Come say hi. My co-founders Scott and Rick are here wearing our Meadow shirts. We're looking forward to hanging out with you guys. Thank you.

Speaker 8

01:09:37

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, grownups don't know how to answer.

Speaker 8

01:09:52

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.

Speaker 8

01:10:09

We'll do nearly 8000000 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.

Speaker 8

01:10:25

8 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.

Speaker 8

01:10:37

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 have 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?

Speaker 8

01:11:03

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 want to help the next generation of children grow up and stay curious.

Speaker 8

01:11:23

We'll be across the way. Thanks.

Speaker 9

01:11:29

Who here rents? Cool. 93% of landlords use credit as the primary indicator of who they're going to rent to.

Speaker 9

01:11:38

67% of people under the age of 35 have subprime credit scores in America, and less than 5% 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, which includes a credit report, criminal background check, everything.

Speaker 9

01:12:13

We make money selling renter's insurance. And That's allowed us to grow from 1,000 to 350,000 rentals in 18 months, which is like 1.5% 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.

Speaker 9

01:12:32

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

Speaker 10

01:13:05

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.

Speaker 10

01:13:23

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.

Speaker 10

01:13:51

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 into 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.

Speaker 10

01:14:21

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. Us. Thank you.

Speaker 11

01:14:43

Hi, everyone. I'm Lucas from Nova Credit. I'm the CTO and co-founder.

Speaker 11

01:14:51

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'm going to tell you a little bit about about a problem first and then a solution So what is 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.

Speaker 11

01:15:31

And this is a really big problem. This is a really big problem because if you get into a new market you want to get started, you want to get like rental, you want to you know, sorry, rent an apartment, you want to get a credit card, you want to lease a car. So How do we solve this problem? We solve this problem by having 1 API for global data.

Speaker 11

01:15:51

So this is creating 1 standardized format across the world for credit history data. We aggregate from database across all of the world and expose that with 1 unique API data point. So why should you work at Nova? So we have technical challenges that are really interesting.

Speaker 11

01:16:10

So we have massive ETL pipelines. We have infrastructure systems that need to be cross-region. They 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.

Speaker 11

01:16:25

So come talk to us at our booth. We have talented 30 people at our San Francisco office, 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.

Speaker 11

01:16:42

Thank you.

Speaker 6

01:16:52

Hi, everyone. I'm Kevin, the co-founder and CEO of Pathrise. We are YC for careers instead of companies.

Speaker 6

01:17:00

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. 1 of the things to keep in mind is that we're not a coding boot camp.

Speaker 6

01:17:20

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 then 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.

Speaker 6

01:17:57

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. 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.

Speaker 6

01:18:31

Instead, you're looking for a company that invests in every single fellow that we go through, and 1 where I can say that even if we collapse today, there's 100 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.

Speaker 12

01:19:09

Can you click for me? Hi, my name is Tracy Young. I'm 1 of the co-founders and CEO of PlanGrid.

Speaker 13

01:19:15

Hello, my name is Ralph Goudy. I'm the CTO and co-founder of PlanGrid.

Speaker 12

01:19:19

PlanGrid builds beautiful, simple, powerful software for the $14 trillion per year construction industry. We are part of Y Combinator's Winter 2012 batch. In the last 6 years, we've helped build over 1 million construction projects.

Speaker 12

01:19:36

Today, we have customers, paying customers, in over 80 countries. You probably don't know this, but 1 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.

Speaker 13

01:19:56

As an engineer, what excites me about PlainGrid 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.

Speaker 13

01:20:11

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.

Speaker 13

01:20:19

We've got a modern stack, just like everybody else here.

Speaker 12

01:20:23

We're a diverse team of 350 people and growing. We deeply care about fairness in the world. In 2016, PlanGrid took the United States equal pay pledge.

Speaker 12

01:20:36

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.

Speaker 12

01:20:54

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.

Speaker 14

01:21:04

Hi, everyone.

Speaker 15

01:21:13

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 fetish caregivers when they need child care.

Speaker 15

01:21:30

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.

Speaker 15

01:21:43

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 a really good fit for their families, you can really approximate that idea of village. And the amazing news is that over the last 2 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.

Speaker 15

01:22:25

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?

Speaker 15

01:22:42

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 want to 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 want to 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 want to use your superpowers for good and live in a city that you can actually afford to live in.

Speaker 15

01:23:33

Come, come talk to me. You can either catch me on Twitter or find me at the booth in the other room. Thank you.

Speaker 12

01:23:43

So great.

Speaker 16

01:23:50

Hello everyone, I'm Chris. I'm the CEO of Precious. Precious uses AI to organize the photos of your kids.

Speaker 16

01:23:58

Here's the problem. My daughter's 3 years old and I have 20,000 photos of her. In 2018 that's normal. Our technology will scan that mess, we'll scan that mess, find the meaningful moments, and build the perfect album for your kids.

Speaker 16

01:24:19

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 an early C-stage company and we're only 3 people, But we already have a lot of traction. Users love our early products so much that they've given us 4 and 1⁄2 star reviews, over thousands of reviews.

Speaker 16

01:24:43

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 million 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.

Speaker 16

01:25:06

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.

Speaker 16

01:25:30

I have 2 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.

Speaker 16

01:26:06

Thanks.

Speaker 17

01:26:22

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, 75% of people in jail have not been convicted of the crime they were arrested for.

Speaker 17

01:26:45

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 are to lose your housing, the more likely you are to have serious consequences.

Speaker 17

01:27:10

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 missed an appointment with their probation officer.

Speaker 17

01:27:23

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.

Speaker 17

01:27:42

Mike, to my left, we got from Uber. Who wants to work at that little startup when you could work here. We stole our engineering lead from Stripe. Again, I mean, come on, big choice, promise.

Speaker 17

01:27:55

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.

Speaker 18

01:28:25

What a motivating startup. Let's give it up for promise. That was awesome.

Speaker 18

01:28:30

Yeah. I'm 1 of the founders of a company called QuadZ. I'm Jay, and this is Sylvie. And we are here to talk about how we accelerate the pace of scientific discovery.

Speaker 18

01:28:44

So what is QuadZ? 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.

Speaker 18

01:29:06

We make money when 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.

Speaker 18

01:29:22

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 Blackburn. She got the Nobel Prize in 2009, and she's 1 of the 9 Nobel Prize winners on QuadC today.

Speaker 18

01:29:42

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 going to reshape the way we live. The same way that physics and computer science changed the 20th century, biology will reshape the 21st century.

Speaker 18

01:29:59

And we are building a platform to make that happen. 1 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.

Speaker 18

01:30:17

We have 4,000 customers nationally. We have made $30 million in sales this year. We are a 60% company, so it's the 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?

Speaker 4

01:30:33

So what's it like to work at Quartzie? I think at Quartzie 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 the scientists, but also helping each other succeed.

Speaker 4

01:30:48

So come join us. 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, we have those remote opportunities as well.

Speaker 4

01:31:15

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

Speaker 19

01:31:32

All right, 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.

Speaker 19

01:31:49

And the reason that we're building this is not only to augment, you know, current devices, charge cell phones, charge robots, etc., 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.

Speaker 19

01:32:18

So we're able to send energy through the air just in the same way that Wi-Fi sends data. You know, we're founded out of MIT, so we're kind of nerds for research. 1 of the big things that we really like to do is scrape the world of electromagnetics research, optimization research, and incorporate that into our core products. So our initial applications are actually, unfortunately, not to charge your cellphones, but are rather focused on need-to-have applications, which arise most often in the industrial sector.

Speaker 19

01:32:50

So that's 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 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.

Speaker 19

01:33:13

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 development, et cetera. We're a very small team.

Speaker 19

01:33:27

There's only 5 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 1903 in Oakland.

Speaker 19

01:33:40

And we're nothing if not eclectic. So you can come see us. We're all wearing these shirts. And we're nice people.

Speaker 19

01:33:45

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 chat with you all. Thanks.

Speaker 20

01:34:05

Hello everyone, My name is Amjad Masad. I'm the co-founder and CEO of Repl.it. So it's 2018, and it still sucks getting started into programming.

Speaker 20

01:34:17

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.

Speaker 20

01:34:27

So 1 person in the back, don't come work for us. But it's still really hard. So imagine if there's a way to get started with programming in just 2 seconds. An online IDE with 0 setup, a full-featured IDE.

Speaker 20

01:34:45

You'll have things like code intelligence. As you're coding, 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.

Speaker 20

01:34:57

Also, live deployment. The moment you open a port on Repl.it, you just deploy your app. That's how easy it is to deploy apps. There's a lot more.

Speaker 20

01:35:07

I know people are talking a lot, but I thought the presentation was only 90 seconds, so I didn't put all the features, which will take me an hour to get through. But if you like this kind of stuff, if you like building tools, if you're a hacker, our mission is to get the next billion programmers online. And we're only 0.1% of the way there. You do the math.

Speaker 20

01:35:31

So fun and challenging problems. We're working on a container orchestration system on the back end, a distributed file system, and we're building the world's fastest IDE. So come talk to me afterwards. Thanks.

Speaker 20

01:35:45

Thanks.

Speaker 4

01:35:47

Excellent.

Speaker 21

01:35:58

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.

Speaker 21

01:36:11

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 et cetera. 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.

Speaker 21

01:36:36

That's much faster than building it from scratch every single time. And the market is huge. 50% of all code written 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.

Speaker 21

01:36:53

If you think about all the companies outside of the valley, like Coca-Cola, all of the code they write is all purely internal stuff. And so if 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 2 founders. So we're looking for a first engineer.

Speaker 21

01:37:16

We're profitable and we raise the seed around from the founders of Stripe, OpenAI, et cetera. So if you enjoy working on really hard problems and want to have a high impact on the product and engineering, come talk to us after. Thanks.

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Speaker 22

01:37:41

Thanks. Hi, everyone. I'm Alex, CEO and founder of Scale. Our vision is to accelerate the development of AI applications.

Speaker 22

01:37:49

It's no secret that deep supervised learning is 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 data set was more than 2 billion 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.

Speaker 22

01:38:14

So it turns out that for most of these production use cases, labeling ground truth data is the biggest ball neck 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 2 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.

Speaker 22

01:38:52

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.

Speaker 22

01:39:19

They hail from companies like OpenAI, Google, Dropbox, Facebook, Cruise, etc. We have 2 IOI 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.

Speaker 22

01:39:37

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.

Speaker 22

01:39:53

That's awesome.

Speaker 23

01:40:05

Hello, everyone. I'm Dan Knox. I'm 1 of the founders of Science Exchange.

Speaker 23

01:40:10

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 enterprise platform that is used by scientists at thousands of the world's top R&D organizations, like the 1 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.

Speaker 23

01:40:44

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.

Speaker 23

01:40:55

So first, we're a truly mission-driven company. Our mission is an important 1, 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 CREC company.

Speaker 23

01:41:09

There's about 80 of us so far, 8 0, with 20 across product and engineering. So 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 a supportive environment that really supports rapid skills development, career growth, and has a true ownership mentality.

Speaker 21

01:41:40

Fourth, we have

Speaker 23

01:41:41

a diverse team. We truly value diversity and inclusion. For instance, Our team currently has a 50-50 gender split.

Speaker 23

01:41:47

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 use space to accommodate our growth. So there you go, 5 reasons to think about joining Science Exchange.

Speaker 23

01:42:10

You can learn more at our careers page, come see me Debbie or Sean afterwards. Thanks so much. Thanks so much.

Speaker 24

01:42:25

Hello, everybody. Don't fall asleep on me, okay? I'm Luciano.

Speaker 24

01:42:28

I'm the CTO and cofounder of Scope AI. We're an 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.

Speaker 24

01:42:48

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.

Speaker 24

01:42:58

And then we build 1 of the world's only text-based analytics suites so we're able to explore that data. What's extraction look like? So it's easy to find out in the text that somebody said cancel. But what's hard is figuring out why they said cancel.

Speaker 24

01:43:12

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 1 of the only text-based analytics platforms. So you'll be building trending methods and anomaly detection methods for text, as well as predictive models, so what's going to happen in December. You'll be building visualizations for text that go way beyond, say, word clouds.

Speaker 24

01:43:37

But it's even bigger than that. So we have a customer feedback. We ingest the business actions, and we ingest the financial metrics. And that allows us to automate decision making for companies.

Speaker 24

01:43:47

Why? You know what customers are saying. You know what happened when they said that. And you know what you did to remedy a situation.

Speaker 24

01:43:53

So you know next time what you have to do. Like a DoorDash team said, we're good people. OK, so come talk to us. I met my co-founder at Harvard.

Speaker 24

01:44:03

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 laugh, so if you want to come tell me jokes, I'm also great at that. But yeah, if you're excited about really being able to listen to customers and being able to map that to decision making, please come chat with us.

Speaker 24

01:44:28

Thank you.

Speaker 25

01:44:42

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.

Speaker 25

01:45:00

So our solution at Shone 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 $100 million plus. So we bought a small boat like this 1 and retrofitted it to prove autonomy.