20VC: Why SaaS is Dead | Why AI First Companies Will Win | We are in the Middle of a Cold War for AI Talent | Why Europe is F******* and We Need to Stop Whining with Daniel Khachab, Co-Founder @ Choco AI transcript and summary - episode of podcast The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
Go to PodExtra AI's episode page (20VC: Why SaaS is Dead | Why AI First Companies Will Win | We are in the Middle of a Cold War for AI Talent | Why Europe is F******* and We Need to Stop Whining with Daniel Khachab, Co-Founder @ Choco) to play and view complete AI-processed content: summary, mindmap, topics, takeaways, transcript, keywords and highlights.
Go to PodExtra AI's podcast page (The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch) to view the AI-processed content of all episodes of this podcast.
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch episodes list: view full AI transcripts and summaries of this podcast on the blog
Episode: 20VC: Why SaaS is Dead | Why AI First Companies Will Win | We are in the Middle of a Cold War for AI Talent | Why Europe is F******* and We Need to Stop Whining with Daniel Khachab, Co-Founder @ Choco
Author: Harry Stebbings
Duration: 01:13:24
Episode Shownotes
Daniel Khachab is the co-founder and CEO of Choco. Today, Choco’s AI platform facilitates half of all food traded in major cities like New York, Paris, London, and Berlin, cutting food waste and streamlining distribution. Since its founding in 2018, Choco has raised $330 million from Bessemer, Coatue (its first
European investment), and Insight, reaching unicorn status within 2.5 years. Previously, Daniel was the youngest Managing Director at Rocket Internet, where he oversaw growth across Latin America, Southeast Asia, Australia, and the Middle East. From Seed to $1BN in 30 Months: 1. We Killed a $BN SaaS Business to be AI First: Why does Daniel believe that SaaS is dead? What does an AI-first company mean? Why does Daniel believe AI-first companies will win the next 10 years? What foundation models does Daniel and Choco use today? How has the cost of using different models changed? What categories are vulnerable to being attacked with vertical products from the foundation model providers? 2. Europe is F*******: Why and What To Do: Why does Daniel believe Europe is at a massive disadvantage in the next 10 years of AI? Chips: What can Europe do to encourage chip production and manufacturing to take place on European soil? Energy: What can European governments do to encourage energy providers and new forms of renewable energy to innovate to provide the energy AI needs? Talent: Why does Daniel believe AI talent is the hardest problem that Europe faces? What can governments in EU do to resolve this problem? 3. Lessons Scaling to $1BN in 30 Months: Does Daniel regret raising at a $1.1BN valuation? Why did he throw a unicorn party with the round? Why does he regret it so much? What did Daniel spend money on that he wish he had not spent money on? What did Daniel not spend money on that with the benefit of hindsight, they should have spent money on? When your competition raises a lot of funding, does that mean you should also?
Full Transcript
00:00:00 Speaker_01
A hundred percent. I think SaaS is dead. It's great companies, at least from headcount perspective, get smaller and not bigger. I mean, you go in a different country fighting for talent. That to me is Cold War.
00:00:12 Speaker_01
In Europe today, we're not producing the chips. We're not producing the energy. We don't have the foundational layer models. Now the real downside to me is that it's at one billion mark. Once we become unicorn and people think, oh, we made it.
00:00:26 Speaker_01
Who the fuck wants to be a rainbow colored pony? I don't want to be a unicorn. We need more long-term commitment as well. We need founders to say, I'm going to invest 15 to 20 years.
00:00:37 Speaker_01
I'm going to commit this now, the best years of my life to make this happen.
00:00:41 Speaker_00
This is 20VC with me, Harry Stebbings, and today we bring you the story of one of the hottest SaaS companies. who, overnight, decided to kill their SaaS business and be an AI-first company.
00:00:52 Speaker_00
From why SaaS is dead, to why Europe is screwed, to the Cold War for talent, this episode is a cracker. I'm thrilled to welcome Daniel Kashap, co-founder and CEO at Choco, to the hot seat.
00:01:03 Speaker_00
Now, since founding Choco in 2018, they've raised over $330 million from Bessemer, Co2, and Insight, reaching unicorn status within just two and a half years.
00:01:14 Speaker_00
But before we dive into the show today, I want to recommend a book, The Road to Reinvention, a New York Times bestseller on mastering change. No time to read? Listen to 20VC now, then download the Blinkist app to fit key reads into your schedule.
00:01:29 Speaker_00
With Blinkist, you can grasp the core ideas of over 7,500 non-fiction books and podcasts in just 15 minutes, covering psychology, marketing, business, and more.
00:01:41 Speaker_00
It's no surprise Blinkist users see themselves as self-optimizers, and 65% say it's essential for business and career growth. Speaking of growth, Blinkist has empowered over 32 million users since 2012.
00:01:54 Speaker_00
And as a 20VC listener, you can enjoy an exclusive 25% discount on Blinkist. That's B-L-I-N-K-I-S-T. Just visit Blinkist.com forward slash 20VC to claim your discount and transform the way you learn.
00:02:11 Speaker_00
And while you're optimizing your learning, let's also optimize your finances with Brex, the financial stack founders can bank on.
00:02:18 Speaker_00
Brex knows that nearly 40% of startups fail because they run out of cash, so they built a banking experience that takes every dollar further.
00:02:26 Speaker_00
It's such a difference from traditional banking options that leave your cash sitting idle while chipping away at it with fees.
00:02:33 Speaker_00
To help you protect your cash and extend your runway, Brex combined the best things about checking, treasury and FDIC insurance in one powerhouse account. You can send and receive money worldwide at lightning speed.
00:02:46 Speaker_00
You can get 20x the standard FDIC protection through program banks and you can earn industry-leading yield from your first dollar while still being able to access your funds anytime. Brex is a top choice for startups.
00:03:00 Speaker_00
In fact, hey, it's used by one in every three startups in the US. Just check them out now, brex.com forward slash startups. And talking about building trust, SecureFrame provides incredible levels of trust to your customers through automation.
00:03:16 Speaker_00
SecureFrame empowers businesses to build trust with customers by simplifying information security and compliance through AI and automation. Thousands of fast-growing businesses
00:03:26 Speaker_00
including Nasdaq, AngelList, Doodle, and Coda, trust SecureFrame to expedite their compliance journey for global security and privacy standards such as SOC2, ISO 27001, HIPAA, GDPR, and more, backed by top-tier investors and corporations such as
00:03:44 Speaker_00
Google, and Kleiner Perkins. The company is among Forbes' list of top 100 startup employers for 2023, and Business Insider's list of the 34 most promising AI startups for 2023. Learn more today at secureframe.com. It is a must.
00:04:12 Speaker_01
Very likewise, thank you for having me. Really looking forward to this. I think what kind of gave the spark was just a couple of sleepless nights in a row. Because this new technology came out, GPT, and I played around with it.
00:04:40 Speaker_01
And then at some point, I just couldn't sleep and was literally sitting on my couch in the dark staring into nothing because I was like, man, this thing is going to learn how to code in no time.
00:04:51 Speaker_01
Maybe not now, maybe not next year, maybe 27, maybe in 28. technological mode is going to be. It might just be gone like anyone may be able to replicate what we have built over years within days.
00:05:05 Speaker_01
And so I'm like, wow, that's gonna be a big shift in company building. And how are we going to position ourselves to win in such an environment?
00:05:13 Speaker_01
And while I believe that there is some modes, I think there were like three things that made us go AI first. And I think the first thing was There's two scenarios that are going to happen.
00:05:22 Speaker_01
First scenario is someone is going to come, going to replicate our technology, do maybe things in a better way, create more user value, and it's going to disrupt us.
00:05:29 Speaker_01
Scenario two is actually us doing that, us disrupting ourselves and hopefully also our competition. One of our core values is always play offense. And so we got to play offense also on that. And we actually have to be that driver. I think that's one.
00:05:44 Speaker_01
The second thing is, if it's true that company building is going to change so fundamentally, because so much value is coming out of the API, then it's also true that there's a lot of skills to be learned and for every single role within a company.
00:05:57 Speaker_01
And so we might not know how the future is going to look like. But the best way to position us for the future is to learn how to build with AI. on every single part of the organization. So essentially, we're in a race to upskill our teams.
00:06:09 Speaker_01
And more so, I told our team at some point, you know, if you were to leave Choco tomorrow, and you would not have the skills on how to build a FAI, then your skillset would be obsolete.
00:06:20 Speaker_01
So it's also our responsibility as an employer to give our employees the opportunity to learn the most relevant skills of the century.
00:06:29 Speaker_00
And yeah, and personally, normally, I am like pushing CEOs away from selling that company. Okay, because promotional shows are never good shows. I'm about to defend your company.
00:06:41 Speaker_00
In the stance that you're not taking, you're like, hey, we had to make the shift, I would argue, and this is why I want this debate. You have proprietary relationships with food distributors.
00:06:53 Speaker_00
You have a huge amount of data on products, on financials, on invoicing, everything around that. Those are two huge moats that I could come in with a better product. I do not have the historical relationships. I do not have the data moats.
00:07:08 Speaker_00
Technology doesn't matter in that respect. Why does Facebook open source llama? Because the values in the data that they have.
00:07:16 Speaker_01
Yeah, a hundred percent. I don't think all of the moat is gone, but I think a significant moat is gone.
00:07:21 Speaker_01
Like we've still built technology for up to seven years and that holds for many companies that might have built tech for five years, 10, 15, 20, doesn't matter.
00:07:28 Speaker_01
And so it's just part of their moat and that part might vanish and there might still other be moats and we got to focus on those more for the future, but that might still be gone very quickly.
00:07:37 Speaker_01
And so I think it's important to recognize that many jobs will change fundamentally in what these people do every single day.
00:07:46 Speaker_00
Which jobs have changed most significantly today and which will be slower to change?
00:07:52 Speaker_01
I think one of the easiest examples to describe is probably a product design.
00:07:56 Speaker_01
Previously you might have had a UI that was very rich and let's say you wanted to payroll and then you click you search you have a search bar and you search for the right employee and then you click into that employee and then you maybe check you know like how much bonus should they get and then you create like this PDF and then you send this PDF kind of to your tax advisor and then maybe to your bank to essentially pay out the money.
00:08:19 Speaker_01
And so in the future that just might be a prompt. Please do payroll. Let the tax advisor and the bank know automatically and just report back to me once it's done. And so what UI is there to design besides that chat? But who are you speaking to?
00:08:32 Speaker_01
What is the character of that AI, of that agent, if you want, that you're speaking to? Is that like a very serious, structured kind of character? Is it a funny, cheeky character? Are they very concise and precise in their answers?
00:08:44 Speaker_01
Are they more like conversational and try to take in, do they maybe even flirt with you? What kind of character do you want to design that is most appropriate for that particular job? And so a designer will probably have to do that in the future.
00:08:56 Speaker_01
Before they've been drawing like great simple user interface and today it's like, you're like, which characters is AI going to have?
00:09:03 Speaker_00
Other than developers, where co-pilot is still a long way off and has got a lot of problems, hence the rebrand, where are you seeing meaningful, meaningful?
00:09:12 Speaker_00
I saw in the AI first that 80% reduction in customer service cost, but build with AI, it's not It's not really changed much yet for different people in different roles.
00:09:22 Speaker_01
Today, most SaaS companies, what they do, including what we did, is like, OK, we talk to the customer, we identify the problems of the customer, and we say, look, we got a neat solution for you.
00:09:31 Speaker_01
And then this is how the solution works, and these are the features, and so on and so forth. But in the future, we're more or less selling an employee. Here's a very highly competent employee that is specific skills to perform in your company.
00:09:45 Speaker_01
It's never going to take a cigarette break. It's never going to take a day off. And you can hire 0.1 of these employees. You can hire 1,000. You can hire 0.1 in the morning. You can hire 1,000 by noon and by night. That might be 0.1 again.
00:09:59 Speaker_01
And so how do you demo this? How do you negotiate a price for it? Even in a job that is probably the first away from engineering being sales, like there are massive changes. How do you market that employee? Right?
00:10:11 Speaker_01
So for marketing, there's gonna be massive changes. And then obviously in engineering, it's like, yeah, okay, engineering, we got to plug into the APIs, but how do you QA?
00:10:20 Speaker_01
Because if I put something to LLM, if I put the same question twice, I get a different result. So how do you QA that? Every job will significantly change.
00:10:28 Speaker_01
And even internal facing ones, if I work in HR today, and many of the things I spend a lot of time with will just be done in seconds, then how do I stay on top of things? How do I not become obsolete in the future?
00:10:41 Speaker_01
It's like every single job will change.
00:10:43 Speaker_00
Respectfully, are you saying that we're seeing the end of SaaS and the agentification of all software in business as a fundamental transition?
00:10:53 Speaker_01
I think SaaS is dead. I call it the agentification of SaaS. In some industries it might happen sooner and some later, but naturally, why do we have user interfaces?
00:11:06 Speaker_01
So I like kind of the HR example because I still remember before all of these great HR tools came out, we were managing all of HR on Excel sheets. Not Google Sheets, but Excel sheets.
00:11:16 Speaker_01
And there was kind of every single employee and when they joined and how many holidays they took and what they earn and yada yada yada. And then these great tools came up which make the job much easier.
00:11:24 Speaker_01
But you still need to learn how to use that software. Whereas in the future, we're just gonna prompt that you don't need to learn anything because you communicate with that machine like you communicate with a human.
00:11:33 Speaker_01
In voice, in written form, in many different things. And so it's just, the adoption curve will just be faster because there's nothing to learn.
00:11:41 Speaker_00
So just so I understand, so we will have We will still have single sources of data truth, which is like your Salesforce, which is your repository of sales data, correct?
00:11:49 Speaker_00
And then we will have like application layer on top of them, which will just be prompt engines. And it'll be the same for HR, the same for payroll. Is that it? Could be.
00:11:58 Speaker_01
It could also be that kind of in that example, Salesforce should be the application layer itself. There should not be a layer above Salesforce. It should be the application layer. And what's underlying might just be a database.
00:12:10 Speaker_01
Sales people hate Salesforce. Like, go on there, update every single lead. Oh, I spoke to that person. Upload the presentation that you have done. Change the lead status. Who did I talk to? What were like the points of contacts?
00:12:22 Speaker_01
Where it's like, okay, like, here are my notes that I took anyways. Do the rest. And you can imagine if you ask a sales rep, hey, you have two options. Fill the form, copy paste your notes. Like, what are they going to choose?
00:12:34 Speaker_01
And which tool is going to find more adoption? And which tool makes your sales rep more efficient?
00:12:38 Speaker_00
I have so many areas where I want to go on this one. The first one I'll just say is, we're in Europe. In Europe, 62% of large enterprises still don't know what Slack is. 91% don't know what Notion is.
00:12:49 Speaker_00
Respectfully, getting them to move to cloud, a challenge in itself. Embracing an agent-based SaaS ecosystem is 10 years out, Daniel.
00:12:59 Speaker_01
So this is where I disagree. I think it's the other way around. So I think AI is the perfect technology for traditional industries. Why? Because the problem in adoption is not that they think, oh, digital is unimportant.
00:13:13 Speaker_01
The problem in adoption is like, I need to learn something new. I have done this forever. I don't want to change. I'm gonna need training. My people are not ready for it. That is the problem in adoption.
00:13:23 Speaker_01
Versus now it's like, no, you don't need to learn anything. Do you people know how to use WhatsApp? Yes. Okay. It works like WhatsApp. what you want is going to give it back to you. So the adoption curve is going to be way faster.
00:13:32 Speaker_01
Like AI is the perfect tool for traditional industries. Much more actually for startups and tech, because those are people that are tech first, they know how to work with interface and stuff like that.
00:13:42 Speaker_00
How do you respond to the data security compliance, large enterprise gnarly logistic challenges which prevent the adoption of new technologies like this?
00:13:52 Speaker_01
Yeah, I don't think everything needs to be an LLM and not everything needs to come off the cloud.
00:13:57 Speaker_01
I think for many use cases, small language models are completely sufficient and many of which can be hosted on even large language models, they can be hosted on premise. Nothing's going to leave your doors. So you can create a product.
00:14:09 Speaker_01
with this as well. And it's completely hosted even on your own internal servers. And so I think you've got to go through the same questions around data security that any SaaS has to go through.
00:14:20 Speaker_01
So that's maybe a one-on-one, but then on the adoption curve, you still win.
00:14:24 Speaker_00
I speak to many, obviously, AI leaders, and they say the single biggest problem right now is actually implementation.
00:14:30 Speaker_00
It's not the sales cycle, there's budgets and they want to spend on AI, but it's implementation, it's data readiness, it's data cleanliness. And we have this post-agreement process where it's like, oh, I don't know what to do now.
00:14:42 Speaker_00
How do you think about that?
00:14:44 Speaker_01
So I do think that actually two interfaces will survive. One is kind of like the interface in which you ask AI to do something and which it returns you what you want.
00:14:53 Speaker_01
That can be, you know, how much revenue did you make last month, it gives you back a number, you know, make the payroll that gives you back the result and things like this. But AI is not
00:15:03 Speaker_01
is not God, like it makes mistakes, just an intelligence doesn't have superhuman knowledge in particular, not on your proprietary data. And so you got to train it. And so that's the second interface that I think we will have in the future.
00:15:16 Speaker_01
And I think that we need to think in a way that, hey, How do we make it as easy as possible for our users to train the AI? That's the key.
00:15:27 Speaker_01
It's not going to be everything's going to work from day one and that's not what you should expect and you should not oversell on it. It's not like what's the day one accuracy. It's actually the rate of learning that needs to be as steep as possible.
00:15:40 Speaker_00
I'm an investor for a living alongside the podcast. And I have to think about where value accrues in the stack. We mentioned earlier, you're using, you know, open AI for a lot of customer support elements. Where does value accrue?
00:15:53 Speaker_00
And what does it make sense for foundation model companies to build applications for versus what they just let have in an app ecosystem?
00:16:02 Speaker_01
Excellent question. So I think, for example, what Entropic has done with computer use two or three days ago, It's quite magical, actually.
00:16:11 Speaker_00
For those that don't know, can you just explain it?
00:16:13 Speaker_01
Yeah, essentially, N-Traffic will take over your computer, and it can, you know, click for you, look up things for you, fill out forms for you, do everything a human does with a computer.
00:16:22 Speaker_01
It essentially takes over your mouse and your keyboard, and then you prompt it, tell it what to do.
00:16:26 Speaker_00
Which is essentially the next generation of RPA.
00:16:29 Speaker_01
More or less, yes. A very, very smart RPA. And so one could argue that's application layer because RPAs exist. One could argue that's foundational layer. What is it? I think another way to think about it is how are incumbents really doing?
00:16:43 Speaker_01
But essentially, I think they're doing quite well. But the problem is, which is the advantage for the application layer for us, it's starting to get more and more commoditized and the price decrease almost on a monthly level. 100%.
00:16:54 Speaker_01
Like, we literally had to do nothing and our price is now 80% lower than six months ago despite probably having five or six exit transactions.
00:17:02 Speaker_00
What do you use? Mostly OpenAI. A little bit of Anthropic? A little bit of Anthropic, a little bit of Mistralia. To what extent do you care about price versus utility and functionality?
00:17:13 Speaker_01
100% utility and functionality just because we're at that level of maturity or non-maturity. It's just about like build value first and later on we think about cost.
00:17:20 Speaker_01
So we didn't invest anything in cost, but our cost still went down despite volume going up. So to that point, should foundational layer companies go on the application layer? Maybe, because the rest might be commoditized.
00:17:31 Speaker_00
The question is, you can buy OpenAI at 160 or Anthropic at 40. Which one do you buy?
00:17:38 Speaker_01
So I'm not sure if these numbers are right, but I recently read that Entropic is more or less doing 60% of the revenue of OpenAI, and they do this with less customers, so they kind of achieve a higher price point?
00:17:48 Speaker_01
Plus the recent release of computer use, so probably do Entropic. Having said that, I mean, you know, there's been so much shitstorm about OpenAI, like, let's be honest, like, they're the reason why we have this conversation.
00:17:59 Speaker_00
If we go back to how it's impacted the core business, every technology cycle, everyone goes, oh, we're going to lose our jobs. We're going to lose our jobs. And then every technology cycle, we actually just find new things to do. We get better.
00:18:12 Speaker_00
We get more efficient, more productive. Sabbat Klan has fired 700 people in customer support. Which way does it go?
00:18:18 Speaker_01
Yeah, so when we look at the Western world, when we look at Europe and US, the most significant challenge to business is labor shortage, like with millions of open jobs that we can't fill.
00:18:31 Speaker_01
Not necessarily in tech, also in tech, but in healthcare and care for children, truck driving. These tend to be like the jobs in which we have the most scarce labor. Even in hospitality, it's very hard for companies to find people to work there.
00:18:46 Speaker_01
So will AI maybe help us to reallocate our portfolio of labor to where it's most needed?
00:18:52 Speaker_00
I'm being deliberately divisive. Because they're shit jobs. And what I mean by that is not shit, but they're not great jobs to do. Truck driving is a bit boring. Cleaning loo's in cinemas and restaurants is boring. Being a hotel maid is a bit shit.
00:19:08 Speaker_00
Clearing up after other humans and wiping down loo's and humans don't want to do them.
00:19:13 Speaker_01
Yeah but you know if you sit in customer care and everything you get all day is complaints that much better and plus these complaints are also very repetitive and you're sitting like like there and just also doing the same 20 prompts every single day.
00:19:25 Speaker_00
This is the point though which is like AI will just replace the truly shit jobs.
00:19:29 Speaker_01
Yeah exactly and so that person like we need that person very urgently and now you don't need to be you know working hospitality which is an extremely hard job but like we need kindergartners.
00:19:42 Speaker_01
Just in Germany we're short 50k 50k and the government has invested billions over the last we're still short 50k so wouldn't it be great just for general society.
00:19:51 Speaker_00
I'm a believer in Adam Smith's invisible hand, you know, where you have a shortage of 50k, you see salary increases for the kindergarten providers, and suddenly that 50k goes down to 10k.
00:20:03 Speaker_01
And if we would have competent government, that would probably work out. But why does it not? So obviously, it depends on the country, but in a German example, it is mostly more or less public servants in which it's not very privatized.
00:20:16 Speaker_00
I completely disagree with all forms of regulation and government intervention as a venture capitalist. Okay, so we have this. Does that mean that we will see essentially what Klarnov said, which is the removal of Salesforce, the removal of Workday.
00:20:30 Speaker_00
We're building all of the tools internally ourselves. Is that what's going to happen?
00:20:35 Speaker_01
I don't think so because AI today, like even the best LLM won't enable you to build something like Salesforce fairly quickly. There's so much code, so much customization in there. Even if it would, then you would have to maintain it.
00:20:49 Speaker_01
And suddenly you need engineering resources to maintain an internal tool as opposed to engineering resources like building useful stuff for customers.
00:20:56 Speaker_01
But the people using it, I think maybe, and you know, what Klarna I think part ways with 700 people in customer care, and I think these are very, very tough and horrible conversations that are there to be had, but, and the same work held for us really.
00:21:13 Speaker_01
We also automate a large part of our customer care, large part of our kind of more account management kind of work and replace it with AI. And- How many people did you let go? Hundreds.
00:21:25 Speaker_00
How do you say that?
00:21:26 Speaker_01
Yeah, I think first you got to stomach it, right? Because like you have to do it. You're a business and you operate within the rules of business and that thing is going to make you so much more cash efficient, particularly in unprofitable venture.
00:21:39 Speaker_01
It's so important. But then these conversations are a different animal, right?
00:21:42 Speaker_01
Because you got to go to someone who's a fantastic person, who is eventually also like a fantastic performer, who's a high performer, and you got to sit down and you say, like, I'm really sorry. Essentially, I is taking your job.
00:21:57 Speaker_01
And that's a horrible conversation. And that conversation is obviously way different as in, hey look mate, there were certain goals, we gave you feedback, you didn't meet it over months. It's a different animal. It hurts way more.
00:22:09 Speaker_01
Of course, then people understand it also more from a rational perspective. It's still crap for them, but you gotta do it. How do they respond? I think oddly enough most people understood it.
00:22:22 Speaker_01
I mean kind of once you as a company really embrace AI and everyone understands that it's important for you, I think the people will already start to have a sentiment. Maybe it's not panic, they will understand, hey it's a matter of time.
00:22:38 Speaker_00
And so you move those people out of the business. It is tough. I think you also have a duty of responsibility to your existing team members as well, where none of them will have jobs if you don't move forward with time and with technology.
00:22:49 Speaker_00
And so sadly, that is business progression.
00:22:53 Speaker_01
A hundred percent and I think you know our first responsibility actually is our vision. Like that's what we need to get, the mission, which is the reason why a company should exist in the first place.
00:23:04 Speaker_01
And we need to, with every single decision that we make, increase the probability of us achieving that mission.
00:23:10 Speaker_01
And sometimes it's an easy decision, sometimes it's a hard decision, but it's our role as leaders to sometimes also make the hard calls if it increases our probability of success.
00:23:17 Speaker_00
Did you do the let-goes in one go, or did you do them in multiple rounds?
00:23:22 Speaker_01
I related one in one go.
00:23:24 Speaker_00
When we chatted before, you said about an AI talent cold war. And I was like, what the fuck is that? Can you help me understand that?
00:23:33 Speaker_01
Yeah, so I think the Cold War probably has, has two components. And one is infrastructure and two is talent, but we can start with talent. And so we're in London right now.
00:23:43 Speaker_01
I've been in London together with some other AI founders sometime this summer for conference. And we got an invitation from someone, let's say fairly high up in the US government to meet up for dinner.
00:23:59 Speaker_01
And we only I found us and then of course it was a lovely dinner. It was fantastic opportunity for us. But essentially, they were making it very attractive for us to move our AI talent over. But we are in the UK here.
00:24:10 Speaker_01
But the next day, there was a similar event from someone from the British government. And, and last night, so maybe two weeks ago, it was a conference in Berlin. And same, same. UAE and Saudi Arabia. So people are really fighting for this talent.
00:24:25 Speaker_01
They've understood how vital it is. And I mean, you go in a different country fighting for talent. That to me is Cold War. And I think it's very interesting.
00:24:35 Speaker_00
And- What do they want specifically? They want you to build your AI teams in their country? Yes, and relocate there. and relocate there. Do they offer anything in return? What is their sell?
00:24:47 Speaker_01
It depends. What you obviously always get is kind of like golden visa and this kind of support.
00:24:51 Speaker_01
Like the most extreme offers that you get is like people are going to pay salary, like government is going to pay salaries for three to five years for your top AI talent. Like they're going to do that.
00:25:00 Speaker_00
Why would you not do that? They're going to take away the cost base of your AI team.
00:25:05 Speaker_01
I think you seriously have to consider it. If it's the best for your company, then you have to do it. And if your employees want that,
00:25:11 Speaker_00
Where is your team today?
00:25:12 Speaker_01
Berlin. Like all of our R&D is in Berlin and then we have sales offices across the US and Europe.
00:25:17 Speaker_00
Why? Is it the best in Berlin? Is it most convenient? Is it because you're there? Why is it Berlin?
00:25:23 Speaker_01
So we started Choco in Berlin because we felt we had the best network there. We felt Berlin is a very attractive city for foreigners to come. You don't need to speak any German. It's the most affordable capital in Europe.
00:25:37 Speaker_01
I think it has one of the highest quality of life, like living standards in Europe.
00:25:42 Speaker_00
But for specifically AI, there's no great institutions spinning out of Berlin. If you go to London, though, we've got DeepMind, we have Facebook, we have Cambridge, we have Oxford, and we have some amazing educational and large. We're better for AI.
00:25:58 Speaker_00
Why aren't you here?
00:25:59 Speaker_01
Yes, on the foundational layer, I completely agree. But I think on the application layer, there's just so much to learn. It's fairly new and we all start from zero. The race is on since 2023.
00:26:09 Speaker_01
Foundation layer models has been going on for a while and you need those institutions that you just mentioned. But on the application layer, where it's like, how do I integrate with that API foundation layer? How do I do prompt engineering?
00:26:22 Speaker_01
How do I design such a product? Those things are new and you got to upscale and we are on that race.
00:26:27 Speaker_00
How many machine learning engineers do you have, broad strokes? 15 to 18, yeah. 15 to 18? Yeah. And they're in Munich, in Berlin, too. Where would you most be persuaded to go to?
00:26:37 Speaker_01
So when I started to actually entertain the thought was when I realized that in Europe we might be at a disadvantage. We got access, as an example, we got access to the Advanced Voice API from OpenAI last as a continent.
00:26:53 Speaker_01
Apple AI or Apple Intelligence, it's going to be launched last in Europe. Trust me, I tried to work around it. It's fucking hard to work around it if you're a European citizen. And let's continue.
00:27:04 Speaker_01
Close to 100% if you go on the infrastructure part, close to 100% of all GPUs are built in Taiwan. Obviously, for geopolitical reasons, everyone is trying to de-risk Taiwan. So where are these factories going to be built? I don't see them.
00:27:18 Speaker_01
I see, for example, the UAE wanting to support hundreds of billions to create them there.
00:27:23 Speaker_01
I see the US like literally the White House probably one and a half months ago they issued like this paper in which they urged the military to find real estate so they can build this stuff.
00:27:35 Speaker_01
And then we can continue like we're going to need a lot of energy to it as well for those data centers.
00:27:40 Speaker_01
people are investing into that energy production in the US in the Middle East I don't see that in Europe and to me it's like hey in Europe today we're not producing your chips we're not producing the energy we don't have the foundational layer models so in that sense these countries that don't possess those three elements
00:28:01 Speaker_01
are not really sovereign countries when it comes to AI. And if we believe that AI is truly as revolutionary of a technology like electricity was when it was first introduced, then we're not sovereign as a country in the first place.
00:28:12 Speaker_01
To your question, where would we go? First of all, we would need to go to a country that has AI sovereignty.
00:28:19 Speaker_00
I actually interviewed Des Traynor quite recently from Intercom. I actually did, like, an internal Intercom event. And he was like, I'm not going to do his accent because I suck at an Irish accent.
00:28:29 Speaker_00
But he was like, essentially, for most of Europe, AI is just shut off. He's like, Facebook, they just won't entertain putting any of their AI products in Europe because of the regulatory lack of clarity. And so it's like, boop, you don't get AI.
00:28:44 Speaker_00
Sorry, bad luck. Is that true?
00:28:47 Speaker_01
I mean, I'm not sure if we're not going to get it. I think we're just going to get lost. It's just going to take longer.
00:28:52 Speaker_00
And it's hard. And then you said there's foundation models, there's obviously chips and there's energy, the three factors. Yeah. OK. So if we just go through them, I'm a European, you're a European, you're in Germany, I'm in London.
00:29:05 Speaker_00
I want to stay a European. So one by one, chips. Yeah. What can we do that would make you happy and make us not lost?
00:29:13 Speaker_01
Yeah, so I think, you know, very interesting example, the German government wanted to fund Intel to put a chip production plant in Germany, forgot if it's 10 or 20 billion, which is obviously too little, but it's a but it's a great start.
00:29:25 Speaker_01
And because obviously, the problems that Intel is having, they said, Okay, no, sorry, we won't do it. So someone is offering them 10, 20, 20, 20 billion and they say, no, sorry, we want to, first of all, Intel is the wrong company to fund.
00:29:35 Speaker_01
So the first step you ask me is like, put it to the right company, put it to Taiwan Semiconductor, put it to Nvidia, people that can actually produce GPUs and we need to make it fairly easy for them to come.
00:29:45 Speaker_01
And what those companies need is obviously energy. They need the government support and they need a lot of clean water. And actually we can provide that in Europe. That's one. We need to bring them here.
00:29:57 Speaker_01
Electricity obviously, or energy, is obviously a way bigger challenge, in particular with the shift to renewables. To me it's an unsolved problem.
00:30:05 Speaker_01
I also see an ethical problem there, because from a German perspective, should we go back to nuclear for it?
00:30:10 Speaker_00
Do you think we should go back to nuclear?
00:30:12 Speaker_01
I'm personally not a big fan of Neutrino just because I think it puts a lot of responsibility on future generations for problems that we haven't solved yet. That might be the only way.
00:30:21 Speaker_00
So we've got chips like invest in the right winner, back them, build them here. Energy, hard problem, TBD. Happy to have a TBD. We can't have solutions to all of them. And then foundation models. Why is foundation models the hardest?
00:30:34 Speaker_01
Because we have a structural issue here. And that is with a talent gap.
00:30:38 Speaker_01
How are we going to bring the right level of talent to build, not to build a foundational model, but to build a competitive foundational model, a model that can compete with OpenAI, that can compete with Anthrophic, that can compete with Nvidia, with X, with Lama.
00:30:52 Speaker_01
How do we get this kind of talent? And where is that founder in Europe that is willing to commit a lifetime to build such a company?
00:31:00 Speaker_00
naively posit, well, we have DeepMind, and we have actually huge amounts of Lama resources in Paris, and incredible AI centers in Paris. We absolutely can stand up a team. And founder-wise, respectfully, I'm with you.
00:31:14 Speaker_00
I think the quality of European founders is much worse than US. We'll get into that. But we only need one Samuel. We don't need 50, we need one. And so I disagree with you. We could do a foundation model.
00:31:27 Speaker_00
I mean, Mistral, I think Mistral is proving that we can. Respectfully, they just don't have anywhere near enough money.
00:31:33 Speaker_01
Yeah, I agree with you.
00:31:34 Speaker_01
I think just it's structural because it feels a bit more like you need the right person at the right time who actually is willing to take the risk, whereas I think it's more in your control to provide energy and to bring a chip manufacturer.
00:31:48 Speaker_00
I completely agree, but I think we actually have it in our control to solve the talent shortage, which is why I'm so fucking visceral against the UK government right now, despite being in the UK.
00:31:57 Speaker_00
Whereas increasing capital gains tax does not make entrepreneurs want to build in your country. Before, you've said to me that regulatory is like this catch-all that we use in Europe for like, oh, that's why we haven't actually achieved.
00:32:10 Speaker_00
And actually, it's just a bit of an excuse for, I think it was laziness or lack of work ethic. What do you mean by that?
00:32:16 Speaker_01
So I think when we look at keynotes about tech in Europe, there's always three things that are getting mentioned. First, on the con side is we don't have enough capital. Second, on the con side is we have too much regulation.
00:32:28 Speaker_01
And third, on the pro side is we actually have enough engineering talent that is being produced by our universities. And I believe that, but today I have to say, you know, a couple of years into our journey, there's not enough capital. Okay.
00:32:41 Speaker_01
And yes, when we started Choco, there was 2018, there was no way to raise 20 million, even just 20 million euros in Germany. It just did not exist. That kind of funds that you could raise one, you could raise five, maybe 10, 20 just did not exist.
00:32:55 Speaker_01
But what existed and what still exists today is five times a day a direct plane to London, and two times a day a direct plane to JFK. And if you're willing to do a layover, you can get several times a day to San Francisco.
00:33:07 Speaker_01
And those funds in the US, in the UK, they are happy to invest in Germany as long as you're growing fast enough.
00:33:14 Speaker_01
So to me, it's like, are we now going to hide away between, oh my God, we don't have enough domestic capital, or are we just going to say, fuck it, I want to build a great company, and I'm going to get on the plane?
00:33:25 Speaker_00
First, I think we do have enough domestic capital now. Like the amount of incredible and not incredible funds in Europe. There are too many. I think there's too much money for too little good entrepreneurs. So I think we do.
00:33:35 Speaker_00
And then we have the globalization of capital. So right, tick. Agreed. Funding is not the problem. Regulatory.
00:33:41 Speaker_01
Yeah, so regulatory, look, there's certain heavily regulated industries, and I don't know them very well, but I'm sure eventually they're at a disadvantage.
00:33:49 Speaker_01
But that doesn't hold, for example, for most of SaaS, and also neither for most of marketplaces.
00:33:55 Speaker_00
What about the fragmentation of countries and the different regulatory provisions that come with each different jurisdiction?
00:34:00 Speaker_01
Hey, try to start a fintech in the US. You have, what, 52 different states, and some of them need a different license as well.
00:34:05 Speaker_00
I agree, and that's why $15 billion is the biggest with Chime, and we have a $45 billion company with Revolute.
00:34:11 Speaker_01
interesting argument but you know what I thought is that so for example about Germany many people complain about the notarization of everything and then it's probably 20 to 30 hours of extra work for any funding round that you do and I think it's unnecessary and it's a burden but I think you know Mark Zuckerberg would you have said oh no sorry I can't build Facebook here because my lawyer has to do 20 to 30 hours of extra work to go to the notary
00:34:36 Speaker_01
I'm like, fuck no, that guy would have found a way. Like Elon Musk built in Germany, the home of car manufacturing, right next to the capital, right next to Berlin airport, a factory to produce cars. He made that happen.
00:34:52 Speaker_01
So I'm like, okay, if we have truly great entrepreneurs that yes, okay, there are obstacles. And yes, okay, maybe the funding one is gone, then you have regulatory, but truly great founders will just be stoic about it.
00:35:03 Speaker_01
We're like, okay, that's the situation how to work around it. And let's fucking go. That's what we need. We just need that pragmatism. We cannot always hold back and look for this kind of excuse. Just make it happen. It's possible.
00:35:14 Speaker_01
And to your point, Revolut has proven it, and Alien has proven it, and Spotify has proven it, and we're going to have more companies prove that it is possible. And so I think we should just stop whining and get pragmatic about it.
00:35:24 Speaker_01
And then, look, I don't think European regulation is great. I think it's horrible. I think governments are utterly incompetent. That is the case, but that should not hold us back for building great companies.
00:35:33 Speaker_01
And we should not even waste like one second complaining about it. Hopefully it's going to get fixed and maybe we can, we can, we can voice our ideas how to fix it, but it should never, it should never hold us back.
00:35:44 Speaker_00
So would you be long or short on your moving forwards?
00:35:48 Speaker_01
status quo we have to be short government is just yeah.
00:35:51 Speaker_00
If you were being as ambitious as you could be for your business why are you not in America or the UAE?
00:35:57 Speaker_01
So we are in America and in fact America is our largest market from a revenue perspective and we also invest most of our money in America and fairly recently we're also in the UAE and we recently opened an office there.
00:36:12 Speaker_00
Do they give you credits for opening offices there?
00:36:14 Speaker_01
They certainly give us some sort of support, yes, but not in terms of money, more like in terms of visas and stuff like that and cooperation.
00:36:23 Speaker_01
So how I view is when I look at, okay, so we got U.S., we got Europe, and then we got, let's say, Middle East. And so this is our portfolio of markets.
00:36:32 Speaker_01
And then how I look at it is that, okay, we got U.S., that's the largest software market on the planet, and if you want to win globally, you got to win the U.S., and that's kind of where dollars come from.
00:36:41 Speaker_01
Then you have the Middle East, in particular UAE and Saudi, and it's like these are just very fast-growing economies, very ambitious economies, very little legacy, which is obviously for SaaS, to your point, implementation is so hard, usually because a lot of legacy, but they have very little legacy, and they want to be the best, right?
00:36:58 Speaker_01
They want to show the world we can do something great, and they actually are on a fantastic trajectory. So that's kind of the growth market.
00:37:04 Speaker_01
And then you have Europe, and Europe is just that almost like post-competitive, robust market in which you can grow. And if you have the US dollars, because you're active in the US, you can likely build a great business out of Europe.
00:37:18 Speaker_01
It's kind of like that, well, it's stagnant kind of thing in the middle. So I think you need to think portfolio, and you've got to diversify.
00:37:25 Speaker_00
Do you live in the US now? No, I used to live pre-COVID. Talk to me about COVID. COVID, you have, I mean, dude, you're a restaurant platform and you'll hate that description, but like you serve restaurants at the end of the day.
00:37:38 Speaker_01
So, so COVID hit, we're about to turn two years old, like 18 months life, probably up to three, 400 million annualized GMV, growing very fast, having a good time. And then COVID hits. And I was in New York back then.
00:37:52 Speaker_01
I'm like, I'm not going to do COVID in my shoebox apartment in New York. I'm going to go back to Berlin. And it's a direct flight from Newark to, to Berlin. It's a seven hour flight. I bought that plane. I still remember I opened my phone.
00:38:04 Speaker_01
I checked Looker and I see our GMV and it's a Sunday.
00:38:08 Speaker_01
and i land monday morning 7am berlin on the runway i put out my phone i check locker 98% of our dream is just gone and lockdown hits and our business is just gone it vanished overnight lockdowns everywhere a lot of uncertainty in the market
00:38:26 Speaker_01
And it was a tough time. And I started smoking, smoked two packs cigarettes a day, got a beard like this, got gray hair, lost my humor. It was horrible. It was tough.
00:38:36 Speaker_01
And also because it was such a big break from like, hey, no, we're just growing and working hard with product market fit. Okay, like, stop. Not only stop, but go to negative, like lose your business, essentially.
00:38:47 Speaker_00
How did you communicate that to team and to investors?
00:38:51 Speaker_01
I think two things, the first thing I did was I googled best books on crisis management and I think the best book is, it's kind of a biography about Ernest Shackleton and he's that guy who took a boat and he wanted to be the first one on the South Pole and he tried three times, failed all the three times but he never lost a man.
00:39:11 Speaker_01
And it's a fantastic book and there's a couple of lessons in them and one of the lessons is like never lose your humor. Like if you lose your humor, you lose your sanity and you're going to lose your clear thinking.
00:39:24 Speaker_01
Never change your values, like stay true to them. I think that was really the first step, going to the team and saying, hey, guys, look, we don't appreciate the situation, but that's how it is. And we got to make the best out of it.
00:39:36 Speaker_01
And, you know, we hope everyone has sufficient toilet paper. And there was a time back then. And then I think the second thing is, you know, stay true to your values.
00:39:45 Speaker_01
And at that point, one of our values really got really part of our culture and that is always play offense.
00:39:51 Speaker_01
And so I think, you know, when COVID hit and when you lose 98% of your GMV, and it's the very first week of it, you know, no one knows what's happening. Like, are we all going to die? Is it going to be gone in two weeks? No one knows.
00:40:03 Speaker_01
It's very easy to play defense and say, okay, like, look, we're going to hibernate now. We're going to do mass layoffs. We're going to preserve runway. We're going to, we're going to preserve cash. We wait until it's all over.
00:40:11 Speaker_01
And then, then we pump it up again. That's a defensive move. And we just say, no, like, what do you have to do to play offense?
00:40:18 Speaker_01
And that was really formative experience for our company because there was always one country in Europe, there was always one state in the US which was not in lockdown.
00:40:27 Speaker_01
And our Spain team moved to Florida because you can do sales speaking Spanish in Miami, probably better actually than English. And Miami became our best city launch to that date.
00:40:39 Speaker_01
And our France team, they moved first to California and then to Texas and the German team I think went also to Texas. And we always had to leave Schengen for 14 days. So we always went to Dominican Republic, waited 14 days, and then we entered the US.
00:40:50 Speaker_01
And so we've been growing through and we changed in our go-to-market from like a field sales approach and a product optimized for field sales approach to a product optimized for like a telesales approach and then to a product-led growth approach.
00:41:01 Speaker_01
And so we just said, okay, like, look, let's be stoic about the situation. That's how it is. And let's just change. We didn't do a layoffs. We burned a bunch of cash in that period, 100% sure. But hey, we stayed true to our values.
00:41:12 Speaker_01
We kept playing offense, we kept our human positivity. And then once the curtain of COVID lifted, like we were just ahead of the competition who may have chosen to hibernate.
00:41:20 Speaker_00
When was your most recent round?
00:41:22 Speaker_01
Was beginning of 2023.
00:41:25 Speaker_00
Got you. What price was the round?
00:41:27 Speaker_01
1.1 billion.
00:41:29 Speaker_00
1.1 billion. Do you feel that is high now? I think we have a generation of companies that are growing into valuations. A hundred percent. Do you regret raising it at 1.1 billion dollar valuation?
00:41:41 Speaker_01
You know, there's elements of it that I regret, elements of it that I don't regret. I think what I don't regret is that, you know, someone once told me if you can take the cash, and if your father's not a billionaire, then you should take it. And why?
00:41:53 Speaker_01
It's because more cash increase your probability of like an outcome of you achieving your mission and everything, every decision that you do has to be to increase that. But do you buy that?
00:42:02 Speaker_00
I don't buy that. I think it increases distractions, it reduces capital efficiency, it gives you more runway, which does not increase execution speed.
00:42:12 Speaker_01
So here we come to the downsides, right? So I think everything you say is true. However, we also outlived something like COVID because we were doing this strategy.
00:42:21 Speaker_01
We also kind of came, I don't want to say smooth sailing, like we had our tough patches certainly during the high interest rate area, but also through that we came because we took the money.
00:42:30 Speaker_01
Now the real downside to me is that it's at one billion mark because once we become unicorn and people think, oh, we made it, we're great now, kind of people get less hungry. And then you get applications of people who look for a safe space to work.
00:42:44 Speaker_01
It's like, no, fuck it. We're not safe. Like we're at high risk. We're going to work our butts off. We have to take risks. It's going to be chaos and you're going to need to thrive on it and it's going to be a lot of change.
00:42:53 Speaker_01
We're not a little change company now, just because we crossed. And also, who the fuck wants to be a rainbow-colored pony? I don't want to be a unicorn. Just that cultural component is... And I remember we made the mistake and we did a unicorn party.
00:43:07 Speaker_01
I wish we would have never done it. And then we had flags. And then I realized what it changed in people. And then two weeks later, I told everyone, remove those flags in all of our offices and trash them. We're not done. That's definitely what I regret.
00:43:21 Speaker_00
Why did you let that party happen? Like straight away there, I'm like, oh, like, you know, we closed the 400 million fund. We did not have a celebratory dinner. I had a walk and then dinner with my mom.
00:43:32 Speaker_01
Yeah. And I think that's a fantastic mindset.
00:43:35 Speaker_01
You know, Dan Rose, one of our board members at CodeCue, and he told me once I met him the first time in flesh again after COVID, he told me, you were the only company in our portfolio that suffered from COVID. All of the others went bonkers.
00:43:47 Speaker_01
food delivery and quick commerce at that point in time. And many other companies just had so much growth and so much equity value was built. Our equity value was destroyed because of COVID. Like we just came out of a really, really tough patch.
00:44:01 Speaker_01
We were working 17 hours a day. Again, we started smoking and it's just, it's been tough for most of our people. And we probably also did partly just because like, okay, like it's over. We survived.
00:44:13 Speaker_01
So I guess it's partly as an excuse how we did the party.
00:44:16 Speaker_00
Yeah, in hindsight wouldn't do it again. When you look back at your management through COVID, is there anything that you would change?
00:44:22 Speaker_01
So the very first week, again, I'm in New York, and one of our angel investors, Daniel Graf, he told me, you know, just be close to the team. And most of our team was in Berlin. So I said, I go back to Berlin.
00:44:33 Speaker_01
I arrived Monday morning and we're looking like, what are we supposed to do? Like food distributors are not working and restaurants are closed. And so we said, okay, first week of COVID, everyone gets a week off. And he said, okay, might be great.
00:44:45 Speaker_01
Everyone can adjust to a new situation. Like the opposite was the case. Like purpose was gone. So I think that was a mistake. It certainly helped us to regroup and then to actually play offense and to give a lot of purpose to the team thereafter.
00:44:57 Speaker_01
But I think that week was not appreciated and we should probably have thought about this earlier.
00:45:02 Speaker_00
People need purpose, I totally agree with that. Do you believe at all in work-life balance?
00:45:08 Speaker_01
No, I think it's bullshit. You know, what I always tell our people is like, like, we have to be 100% presence and 100% intense.
00:45:16 Speaker_01
So when you're at work, I expect you to be 100% here, not on Instagram, not with your head somewhere else, but like 100% present of all of your intensity. But when you're at home, I expect the same that you give 100% at work to be 100%.
00:45:29 Speaker_01
And I think that's, that's way more important. Because like work life balance is like, yeah, you know, I'm gonna work every day until like, you know, 7pm.
00:45:36 Speaker_00
push that, I would say, even at home, I don't want you to be 100% at home. I'm really sorry. By nature of like our business, if we are going to be the best fund in the world, we are going to have to do extraordinary things.
00:45:48 Speaker_01
And look, I think there's always phases where it's going to expect it from you. And yet you might get that Sunday morning call like that. And you got to be ready for it.
00:45:56 Speaker_01
But if that Sunday morning call doesn't happen, like be present, because otherwise you're going to burn out and your partner is going to complain.
00:46:02 Speaker_00
Totally agree with that.
00:46:04 Speaker_01
You need to be ready for war any given moment in time.
00:46:06 Speaker_00
How much cash have you raised so far?
00:46:08 Speaker_01
330 million.
00:46:10 Speaker_00
330 million. Yeah. What's your single biggest lesson on fundraising? Mine is like fundamentally no one will give you money the first time they meet you. This is for funds in particular.
00:46:20 Speaker_00
The big problem with managers is they're like, oh, I'm fundraising and they expect people to give them money. My biggest check in this fund was $40 million and they've known me for eight years. Never invested before.
00:46:32 Speaker_01
Yeah. Look what I tell to our team is that fundraising is several step process and step one is you need to bring a fantastic group of people together.
00:46:42 Speaker_01
Step two is you need to work on a mission and on a strategy that makes sense and those people have to create it. Step three is you got to work your butt off. Step four is you're going to look how well you're doing and you put this on an ugly slide.
00:46:55 Speaker_01
It's ideally just a couple of graphs. And step five is you just hand those lights out. And that's the fundraising process. So yes, there's many of things within the fundraising process that you can do good and many things that you can do bad.
00:47:07 Speaker_01
But fundamentally, if the graph is going up and to the right, you're going to raise money. And if not, it's going to be fucking hard. So the best way to fundraise, just make your company do well.
00:47:15 Speaker_01
And then I think, you know, for like first time founders, or like when you raise the first couple of rounds, it's like, you know, like, don't beg for money. Like the investor's job is to invest, not to not invest. And also what is the psyche of a VC?
00:47:31 Speaker_01
The psyche of a VC is like, hey, I have a portfolio and everyone knows 90% of my portfolio are going to be write-offs. They're going to fail. That's normal. That's accepted in the venture world.
00:47:40 Speaker_01
What is not accepted is if you meet the entrepreneur and you decide not to invest.
00:47:45 Speaker_01
your negative portfolio if you miss the deal so naturally the investor is to and has to be to a certain extent FOMO driven so you know in the end of the day cash is a commodity the dollar is green your company is singular and yes you're also reliant on the investor but like don't back like it has to be a conversation on eyesight don't be arrogant either but like meet on eyesight you have an asset and other person eventually wants that asset and by the way you cannot choose any investor you probably can only choose one or two maybe three per round
00:48:15 Speaker_00
To your point on upside the thing founders don't often articulate best is like, how's this a ten billion dollar company?
00:48:20 Speaker_00
And I think we're almost trained not to in Europe because it's arrogant or it's too idealistic or it's, but I have to see a billion dollar revenue business.
00:48:30 Speaker_01
You know, I love that you said idealistic because it ties us back to previous points like why Berlin. I think Berlin is a very idealistic city, maybe the most idealistic city in Europe.
00:48:38 Speaker_01
And I think I found that to a certain extent has to be idealistic and has to put a great vision because in the end of the day, like our vision, for example, is to enable a sustainable food system.
00:48:47 Speaker_01
And that's very important for the globe from many respects. But I'm like, okay, like, you know, we went through COVID, that has been tough. And then it's the high interest rate period. And then this late that AI pivot.
00:48:59 Speaker_01
and every company has to go through such things. Yesterday I watched an early interview of Steve Jobs and he said you with 90 days of money left.
00:49:06 Speaker_01
And so like what is going to make you stand in front of your team, not in front of the investor, but in front of your team and authentically say, hey guys, we need to work extra hard now because it's really, really important that we achieve our mission.
00:49:19 Speaker_01
If that is not like a compelling vision, then you're going to have a hard time doing it authentically. When you have that, then this is what you have to voice to the investor. And then I don't think you need to put a number behind it.
00:49:30 Speaker_01
It just needs to sound compelling. It needs to sound large, need to sound long term. And I think, you know, long term is another component. Like we spoke about, okay, like Europe and regulation and extra capital and stuff like that.
00:49:42 Speaker_01
we need more long-term commitment as well like we need founders to say i'm gonna invest 15 to 20 years i'm gonna commit this now substantial part of my life the best years of my life to make this happen i'm gonna give the fuck up i'm not gonna do i'm gonna win i'm gonna push through and i think the investor needs to notice and you need to i think this you need to articulate like what is this this is a company that we're gonna you know
00:50:06 Speaker_01
try to increase revenues fast and sell it. It's that IPO, leave the company and make holidays on the Bahamas. So it's like, are we going to build a generational company? And by the way, that's what we need in Europe, generational companies.
00:50:17 Speaker_00
There's a very sad moment for me in a Jensen Hwang interview where they said, would you do this again? And he goes, no. If I knew how hard it was, I wouldn't do it again.
00:50:26 Speaker_00
Respectfully, Daniel, you know, you're in a great place now with the AIG, but with COVID, with the transition, with everything that we've been through, would you do it again?
00:50:37 Speaker_01
And I ask myself this question often. There were years when I would say, fuck no. And there are years where I said like, yeah. And I think that you gotta be realistic about like, it's gonna be tough.
00:50:50 Speaker_01
And every cell in your body has to tell you, start and build that company. And if one cell in your mind and your body is telling you, yeah, maybe, then don't do it. But if every cell tells you to do it, then you got to do it.
00:51:03 Speaker_01
And I think, you know, people say, you know, some people jump in the pool and they get out and they're still dry. And I think a real founder is wet before they even jump into the pool. It has to be part of you. And then I think you might do it again.
00:51:15 Speaker_00
I remember when I was fundraising, it was a tough time fundraising. It was a couple of years ago. And my friend who started Calm, Alex Will, said to me, Harry, you don't get it, dude.
00:51:25 Speaker_00
Entrepreneurship is about getting punched in the face time and time again and going, give me more. And you have to enjoy that. Not like be OK with it. You have to actually seek it out. Almost this masochism of like, yeah, I'll take it.
00:51:39 Speaker_01
A hundred percent. And I think there's many parallels. So when I was young, I was a, I grew up in the Alps and I was a ski instructor because that was just like the kind of the job that like 16 year olds would do where I grew up.
00:51:51 Speaker_01
And what I saw very early on is like the kids that fell all the time, they learned the fastest. And like, you know, everyone falls for the first time. That's just part of the process.
00:52:02 Speaker_01
But then it's like the ones that I went around and I don't want to fall again. I'm just not going to learn. But if you're willing to fall again and again, like those are the kids that make it and that will become great, great races.
00:52:11 Speaker_00
Can I ask a final one, which is you said you raised three hundred and three hundred thirty, whatever. Yeah. What did you spend on that you wish you hadn't spent on first?
00:52:19 Speaker_01
Yeah. So at some point, like we had a team of really great people in there. That's not the people's fault. It's more like my fault. And it was a special projects team.
00:52:30 Speaker_01
And it's kind of like, okay, like here's our core business and here's a special projects team figure out great things. And once they're great, bring it back to the core and then the core is going to scale it.
00:52:37 Speaker_01
And I think today I'm convinced that that's the wrong way to think about company building. Actually, this AI would be another example. Like we could give it to a special project, a skunkworks kind of team. You figure out AI and then you give it back.
00:52:48 Speaker_01
So that doesn't work. And the reason is that if the core of your company doesn't have the skills, the capabilities to innovate, then you have a problem in the first place. Like your core needs to be able to innovate, you know, to get it there.
00:52:59 Speaker_01
So skunkworks team might just be an excuse to not being able to do it in your core. That's one. Let's say your special project team figures something out and it's fantastic. And then you give it to other people and say, oh, what they did is fantastic.
00:53:11 Speaker_01
Now can you please like productize it and roll it? Like I want that person who figures it out. I want to allow this person to own it, to be the responsible individual for it, to scale it, to build it together with that.
00:53:23 Speaker_01
That is much more motivating, right? Yeah, I think that understanding that likely if you have a special project scene, something is not well in your core, we should not have spent money on that. Which is the worst market fee? Spain.
00:53:35 Speaker_01
Next level fragmented. To give you an example, the average restaurant in the US, in Germany, orders from four and a half different suppliers. Yeah. So say one for fish and one for meat and one for drinks and so on.
00:53:48 Speaker_01
In France, we're at nine, much more specialty, more focused on food and so on and so forth. In Spain, we're at 18. And likely you need a different product for that, right? Because so the distributors, they're smaller.
00:53:59 Speaker_01
So does it justify your sales cycle? You need probably more like a self-onboarding kind of product-led growth kind of thing. And so that's why I think the market is challenging. On the other hand, Spain has many other advantages.
00:54:09 Speaker_01
It's one of the very few economies in Europe that are actually properly growing in GDP. Obviously, access to talent is OK. People want to move to Barcelona. It's an easy sell.
00:54:18 Speaker_00
What did you not spend on that you wish you had spent on?
00:54:23 Speaker_01
So we were lucky we found product market fit for our first product very early on and probably even actually before we started coding to be fair because we just did a trillion iterations just on design.
00:54:34 Speaker_01
So we product marketed early on and then we went out to the market and it was growing and then we launched like Berlin and then Germany and France and the US and so on and so forth and city by city. and it was working well.
00:54:45 Speaker_01
And I think, you know, something working is actually very rare. And so once you have something that's working, like you got to go all in.
00:54:53 Speaker_01
Like I wish you would have, you know, spent double the amount of money, have tripled the amount of burn probably in the first 24 months of a company and just go big because... What would that have allowed? A land grab on distributors?
00:55:05 Speaker_01
For sure, Landgrab, I think more importantly, it would just have created a larger brand within the industry.
00:55:11 Speaker_00
When everyone is raising a lot of money around you, the space got very hot very quickly. Some people say you've got to raise too. You've got to compete. Others say the money will dry up.
00:55:22 Speaker_00
What matters is actually not getting involved in the frenzy and playing your own game. Which one makes sense?
00:55:28 Speaker_01
You know, I'm not sure if it's an either or. Like, I'm not saying you should, like, just triple your burn. I say you should triple your burn when something's working really well, right? Within the constraints of good economics and capital efficiency.
00:55:41 Speaker_01
But once you figure that complete thing out, not only the product market fit, but also, like, a go-to-market of good economics, then just go as fast as possible because that's when you actually will attract copycats. It needs to be the complete thing.
00:55:55 Speaker_01
We can also answer this question in isolation, like we also need to look at the competitive situation.
00:56:00 Speaker_00
And the competitive situation- Do you think you had good competitors?
00:56:02 Speaker_01
Yeah, I think we had competitors. I think we still have good competitors.
00:56:05 Speaker_00
Which competitor do you most respect?
00:56:07 Speaker_01
So early on, certainly a company, it was called Recky. And I just think they had a fantastic product for restaurants, and probably still have. And we were directly competing in Paris and Chicago, New York, Berlin, everywhere.
00:56:22 Speaker_01
It was like a multi-frontier war, if you want. I think we just sat down and analyzed strength and weakness and just made a plan on how to win and execute on it.
00:56:34 Speaker_01
And I think actually it's fantastic that we had a good competitor, and actually a competitor that at that point was probably already 10 times larger than us. We had maybe raised 2 million, dad raised 20 million.
00:56:45 Speaker_01
That was very fertile ground for us to start.
00:56:49 Speaker_00
I would say be grateful for your competitors.
00:56:51 Speaker_01
100% 100% and it's it's it makes you better but it's also like it's a simplest motivational tool right it's like you know when you're second when you when you're third like what's the goal here's the number one the goal is get a bit above the number one it's as simple as that now once you're the number one okay what's the goal now stay number one is a bit defensive right so like kind of like you need to go from like winning to like dominating how do you define it and suddenly things become a bit unclear like you're essentially always pushing forward and excellent stuff like that but
00:57:18 Speaker_00
You also need to create a common enemy.
00:57:21 Speaker_01
Yes, to a certain extent, right? Because I think a common enemy and extrinsic motivation, if you want so, works. But I still believe what works better is an intrinsic motivation. It's like we are here to achieve our mission. That's why we're here.
00:57:36 Speaker_01
And by the way, lions don't lose sleep over sheep. We need to focus on what we are doing and not focus on winning a competition, but like at achieving our mission and doing it as fast as possible.
00:57:47 Speaker_01
And so I think that intrinsic motivation still has to be number one. You know, I'd rather think like the kind of the extrinsic one, like the competition, the market, that that has to be like a far two.
00:57:55 Speaker_00
Lions don't lose sleep over sheep. I love that. I haven't heard that before. Listen, I've loved doing this. I want to do a quick fire with you. So I say a short statement, you give me your immediate thoughts.
00:58:05 Speaker_00
So what do you believe that most around you disbelieve?
00:58:08 Speaker_01
I do believe only AI first companies will win and by AI first I mean that a majority of your total revenue or of your new revenue has to come from an AI product. Why?
00:58:21 Speaker_01
Because you're going to be more capital efficient, you can provide more user value, it's just fast adoption curve.
00:58:26 Speaker_01
And on top of that, kind of using AI internally, so revenue is kind of more external to product, but using it internally to get more productive, to automate things. It's just going to be the required status quo.
00:58:39 Speaker_01
A company with a social media account won't become a social media company. It's just a requirement of an Instagram account just to hold the status quo of a company. And companies that automate the process of AI, we don't call them AI-enabled.
00:58:53 Speaker_01
We just call them a company in the future.
00:58:55 Speaker_00
I know your revenue growth has scaled immensely. If I'm allowed to ask, what's your revenue?
00:59:01 Speaker_01
I think we're in a very competitive situation, so I don't think we like talking about it.
00:59:05 Speaker_01
But I can tell you our GMV, since this AI transition grew like tremendously, I think it took us with kind of like the two years of COVID break, it took us probably five years to get to one and a half billion ish.
00:59:18 Speaker_01
And it took us then less than a year at another billion.
00:59:20 Speaker_00
That is insane though, when you look back to that flight, and you look back to the thing reminding you of that looker. Yeah, yeah, but like 300, and it's like, that was the great, and then it got shot, and now to be at two and a half.
00:59:32 Speaker_00
Yeah, yeah, it's been wild. It's good to have the really shit times, because it keeps you level on what truly shit can be.
00:59:39 Speaker_01
yeah and I don't want to miss it like I always tell our people kind of like hey you know running a company is like you know we need to cross a jungle okay and then we're here and then there's a jungle we need to go to the other side and we have different jobs and some people need to cook and some people need to carry and some people need to build tents and sometimes you know it's fantastic you're like on the top of a mountain and the sun is rising and the birds are chirping it's just beautiful
01:00:01 Speaker_01
And sometimes it's just raining for three days, it's cold, we're all wet, we're hungry, don't find food, and right then, middle of the night, we do cross a river full of piranhas and crocodiles, and we're like, fuck.
01:00:13 Speaker_01
But when we're all old and gray, and we look back, the cooler story is actually like, hey, mate, remember when we used to head across that river in the middle of the night full of piranhas and crocodiles?
01:00:24 Speaker_01
Like, that's actually what makes it, what makes it a great experience.
01:00:27 Speaker_00
You can be CEO of another company for a day. Which company would you like to be CEO of?
01:00:31 Speaker_01
one on the inspiring side and one of the, okay, what the heck is actually going on side? And I think, I mean, Pixar, just because of like the talent density and kind of like this creative work, which is very far from what we do.
01:00:43 Speaker_01
We like more like B2B and, you know, hardcore efficiency. Like, I think that would be a fantastic environment to experience that.
01:00:49 Speaker_01
I think kind of on the what the fuck is going on side, it's like the German rail system, like Deutsche Bahn is like, what the heck are those guys doing every single day? 300,000 people, I think.
01:00:59 Speaker_00
Why, what the heck are they doing?
01:01:01 Speaker_01
So a couple of examples. So last year, 2023, there was like this big bonus, okay, like bonus payments to the executives, but to every single employee at Deutsche Bahn, if they were to get more on time, more punctual.
01:01:16 Speaker_01
And so they did not only like miss that goal of getting more punctual, not like only got half more punctual, no, they went negative, 9% negative, 100% of the bonus was paid out. So like, okay, like what the heck is going on in that?
01:01:28 Speaker_01
And it's getting worse by the day. What are they doing? Like French, and I believe even Italian railway system doesn't let German trains anymore enter their countries because they're just too fucking late all the time. What's up? Sorry, guys.
01:01:41 Speaker_01
So how dysfunctional must a company be? I'll give you an example.
01:01:44 Speaker_00
Also, what precedent do you set that you miss the goal and still pay it? Yeah, exactly.
01:01:49 Speaker_01
And like significant bonus. I know someone there, not very senior, fairly junior, I would even say. And the guy bought a small wooden boat with that bonus. It's like, the fuck, great year for him, no?
01:02:00 Speaker_00
Is this a government-funded railway? Yeah, mostly, yeah. Wow.
01:02:04 Speaker_01
Yeah, so it's horrible.
01:02:05 Speaker_00
This is where if you're in the US, and if we were asking for generational companies, don't laugh, you'd have someone who'd say, I'm going to build another railway. Deutsche Bahn is shit. They are completely lacking the profit incentive.
01:02:18 Speaker_00
They're terribly run. The next European Elon Musk would go, I can do it better.
01:02:22 Speaker_01
Yeah, and I think, for example, Flixbus is doing right. They have this Flix train kind of thing, and it's obviously challenging because they need to use the infrastructure of their competitor.
01:02:29 Speaker_01
That would be an interesting thing for days, like, how dysfunctional can it get?
01:02:33 Speaker_00
I'd choose Palantir, just to peer into any global conflict and be like, what's going on?
01:02:38 Speaker_01
Yeah, fair enough. I mean, sure, Taiwan Semiconductor, very interesting as well in the video, obviously.
01:02:42 Speaker_00
What statement in startups has said most that is most BS?
01:02:47 Speaker_01
One thing I thought about, so I heard the story about Jeff Bezos, okay?
01:02:51 Speaker_01
And so they're somewhere in the US and then they want to build something and I can't figure it out, but there's a company in Paris and they figured it out and I think they're on a plane to Chicago.
01:03:01 Speaker_01
And then Jeff says, okay, let's just, let's fly to Paris now, like right up now. And all of the exes go like, okay, the fuck, I thought we were going to Chicago. And so I think many people would call this bias for action.
01:03:11 Speaker_01
But I think also many people would describe this as impulsiveness. So actually, so depending on outcome, it's either bias for action or impulsiveness. So you judge afterwards.
01:03:21 Speaker_01
And so I think you just got to have that impulsiveness, bias for action, no matter how you want to call it. And afterwards, you judge and you got to be willing to make those mistakes.
01:03:31 Speaker_00
What have you changed your mind on in the last 12 months?
01:03:34 Speaker_01
I think one thing that became very clear is that to me, great companies, at least from headcount perspective, get smaller and not bigger. And the reason is that you have to automate as much as possible. And with AI, that is fairly possible.
01:03:47 Speaker_01
And I 100% do believe in kind of this thing about really have like the one person unicorn might not be a one person might be a 10 person unicorn. But I do believe that will happen.
01:03:56 Speaker_01
I do believe it's actually possible probably today if the right 10 people.
01:04:00 Speaker_00
Daniel, final one. What question are you not ever asked by investors, by team members, by media that you think you should be asked?
01:04:09 Speaker_01
I think in the end of the day, the most important question is like, why are you doing that? Right? Because from an investor, you can ask them, what are you doing and how are you doing it? And why is it a great market?
01:04:19 Speaker_01
It's like, but, but why you as a person, why are you willing to commit? And are you willing to commit actually 15, 20 years to that? And I think that needs to be a fantastic answer to it. And is it okay to do it for money? The short answer is no.
01:04:33 Speaker_01
It's just too hard. It's not worth it. Money is a symptom of you building a great company.
01:04:41 Speaker_00
But if you thrive on competition, if that's what gets you off, the win is everything.
01:04:47 Speaker_01
Yeah 100% and like I think being competitive is fantastic and I love being competitive and I want to build the best at what we do but I want to be the best in hiring. I want to be the best in competitive strategy. I want to build the best in product.
01:05:02 Speaker_01
I want to be the best in adopting new technology such as AI quick. I want to be the best in engineering, the best in international expansion and sales and so many things.
01:05:12 Speaker_01
I want to be the best and I think kind of like the valuation or the outcome is just a way of quantifying if you're actually the best. But it's a result, it's a symptom of all of these inputs that you have to give.
01:05:26 Speaker_01
And so I think if you're just chasing the symptom, then naturally, like your, your headspace already diverted from what you should actually focus on, which is like, be the best at that one particular thing, and then it will follow, it will follow.
01:05:39 Speaker_01
But I do also believe, you know, there's a certain responsibility that we should all have. And let's think about San Francisco and Silicon Valley.
01:05:49 Speaker_01
There's this fucking Caltrain, which is a garden shed on rails going from San Francisco to all of these nice towns in Silicon Valley. And at every stop, you have a hundred billion plus company, if not by now a trillion dollar plus company.
01:06:04 Speaker_01
And that train sucks. And if you take the road, like the road also sucks, but you need to have a car for it. And homelessness is nuts there. It's absolutely next level. And so why doesn't this get fixed?
01:06:18 Speaker_01
We have the best foundational layer models on AI on the planet coming out of that little piece of land.
01:06:24 Speaker_01
We got great fantastic companies out there in every different vertical coming out of that piece of land and so but none of it seems to have increased the average life quality if you want so of the population. None of it.
01:06:40 Speaker_01
Like it's literally going south.
01:06:42 Speaker_00
Do you ever think like, am I doing something big enough? It's like you could reinvent how a million Germans get to work every day, 10 million Germans, 20 million, how fundamentally children learn with respect. Do you ever think, am I doing big enough?
01:06:57 Speaker_00
Like I have one life.
01:06:58 Speaker_01
Look, I think about it every single day. There's not a night where I don't think about it. Now, one of the symptoms of our work is this massively decreased food wastage, as an example.
01:07:09 Speaker_01
And food waste is one of the major drivers of carbon dioxide, of climate change, and of inequality in particular developing countries and so on and so forth. So I think it's contributing to that. Do I think are we going fast enough every single day?
01:07:20 Speaker_01
But do I think that it fundamentally needs a different economic model? Yes. We've been essentially transitioning through three different generations of companies and generation one is like,
01:07:30 Speaker_01
What I do is completely disconnected to what's good for society or for the environment. So I might be an oil company and at the end of the year I have a profit and then I plant some trees through it. Fantastic.
01:07:40 Speaker_01
But by no means I'm incentivized to actually do that. And if business is bad, that's the first thing I'm going to cut. So that's generation one.
01:07:48 Speaker_01
Generation two is I actually recognize that every single human being and every organization as such, every company has first a negative impact and I'm going to strive to go for zero impact.
01:07:59 Speaker_01
And that's already fantastic and very few companies actually managed to achieve that.
01:08:04 Speaker_01
And now I think we're approaching generation three of companies in which every unit of economic success is in direct correlation to a unit of success for economy and to the planet by the very foundational mechanics of the business model.
01:08:17 Speaker_01
So as an example.
01:08:18 Speaker_01
Let's say Amazon if every single box that they would ship magically agree would be grown fantastic because everything the box that they ship the revenue goes up its economic economic success and then magically that degree should be grown now imagine you have a software with every single unit that you sell maybe
01:08:35 Speaker_01
there's going to be a little less carbon emissions, maybe there's whatever, cost of housing is going to go down just a tiny bit.
01:08:43 Speaker_01
Indirect correlation, you cannot break that correlation and I think that is a fantastic business and I call these third generation companies. And I think that is actually the only way how to scale positive impact. Do you eat meat? Sometimes, yes.
01:08:57 Speaker_01
I come from a butcher's family. But hey, you know, same there. Like I think it's very important to put our focus on the highest levels. What do I mean? So how much in the general population, how much mind space goes to EVs, electric cars? A lot.
01:09:14 Speaker_01
Everyone's talking about it. It's a sexy thing. It's like, you know, zero to 100 and less than three. It's cool. How much goes to food waste? A bit, but not as much as it. So what's the difference in impact? Reducing food waste.
01:09:26 Speaker_01
And I'm not saying alternative foods. I'm not saying eat less meat. I'm just saying don't produce that waste. That's the only thing. Has 5x the impact as if all cars would be gone? Not electrified, but gone. 5x in terms of carbon dioxide emissions.
01:09:41 Speaker_01
But it's sexier to talk about cars. And so that's why I think we have to stay methodical and we can't be taken away emotionally because we love the environment and so much.
01:09:51 Speaker_01
Like we have to stay methodical and think where are our highest levels and I think we gotta focus on those.
01:09:57 Speaker_00
Daniel, listen, I've so loved doing this. You have been an amazing guest. The guests that I love are ones where there's a real opinion, where we can have a conversation and it's like you have a point and you're ready to make it.
01:10:07 Speaker_00
The worst are when you sit on the fence. It's amazing how many people come on a podcast and sit on the fence. You've been fantastic. So thank you so much. And I've loved doing this, man. Harry was really, really cool. Thank you so much for the invite.
01:10:20 Speaker_00
Appreciate it. If you want to watch the full episode, you can watch it on YouTube by searching for 20VC. That's 20VC on YouTube.
01:10:28 Speaker_00
But before we leave you today, I want to recommend a book, The Road to Reinvention, a New York Times bestseller on mastering change. No time to read. Listen to 20VC. 20VC now, then download the Blinkist app to fit key reads into your schedule.
01:10:42 Speaker_00
With Blinkist, you can grasp the core ideas of over 7,500 non-fiction books and podcasts in just 15 minutes, covering psychology, marketing, business, and more.
01:10:54 Speaker_00
It's no surprise Blinkist users see themselves as self-optimizers, and 65% say it's essential for business and career growth. Speaking of growth, Blinkist has empowered over 32 million users since 2000.
01:11:07 Speaker_00
And as a 20VC listener, you can enjoy an exclusive 25% discount on Blinkist. That's B-L-I-N-K-I-S-T. Just visit Blinkist.com forward slash 20VC to claim your discount and transform the way you learn.
01:11:23 Speaker_00
And while you're optimizing your learning, let's also optimize your finances with Brex, the financial stack founders can bank on.
01:11:31 Speaker_00
Brex knows that nearly 40% of startups fail because they run out of cash, so they built a banking experience that takes every dollar further.
01:11:38 Speaker_00
It's such a difference from traditional banking options that leave your cash sitting idle while chipping away at it with fees.
01:11:45 Speaker_00
To help you protect your cash and extend your runway, Brex combined the best things about checking, treasury and FDIC insurance in one powerhouse account. You can send and receive money worldwide at lightning speed.
01:11:59 Speaker_00
You can get 20x the standard FDIC protection through program banks and you can earn industry-leading yield from your first dollar while still being able to access your funds anytime. Brex is a top choice for startups
01:12:13 Speaker_00
In fact, hey, it's used by one in every three startups in the US. Just check them out now, brex.com forward slash startups. And talking about building trust, SecureFrame provides incredible levels of trust to your customers through automation.
01:12:28 Speaker_00
SecureFrame empowers businesses to build trust with customers by simplifying information security and compliance through AI and automation. Thousands of fast growing businesses, including Nasdaq, AngelList, Doodle, and Coda,
01:12:42 Speaker_00
trust SecureFrame to expedite their compliance journey for global security and privacy standards such as SOC 2, ISO 27001, HIPAA, GDPR, and more.
01:12:53 Speaker_00
Backed by top-tier investors and corporations such as Google and Kleiner Perkins, the company is among Forbes' list of top 100 startup employers for 2023 and Business Insider's list of the 34 most promising AI startups for 2023.
01:13:09 Speaker_00
Learn more today at secureframe.com. It is a must. As always, we so appreciate your support for the show and I cannot wait to bring you a fantastic episode with Carrie, founder and CEO at Linear, one of Silicon Valley's hottest startups, on Wednesday.