E568 | Ivan Burazin on Building Daytona, the Computer for Agents

4 Sep 2025 · 1 h 2 min

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EUVC Podcast Episode Notes

Episode Title

E568 | Ivan Burazin on Building Daytona, the Computer for Agents

Co-hosts

  • Andreas Munk Holm
  • David Cruz e Silva

Guest

  • Ivan Burazin
  • Founder of [Daytona](https://www.daytona.io/)
  • Extensive experience in infrastructure and developer communities

Episode Summary In this episode, Andreas and David sit down with Ivan Burazin, who discusses his journey from Croatia to Silicon Valley and the evolution of Daytona from a cloud IDE provider to an AI infrastructure company. The conversation revolves around how Daytona pivoted to become the "computer for agents," catering to the needs of AI agents rather than human developers.

Key Concepts and Discussions

  1. Daytona's Evolution
  2. Initial Offering: Daytona started as a "cloud IDE provider for enterprises" aimed at simplifying setup for developer environments with Fortune 500 clients.
  3. Pivot to Daytona 2.0: After recognizing limitations, Daytona pivoted six months ago to focus on powering AI agents with isolated sandboxes designed for their unique requirements.
  1. AI Agents vs. Human Developers
  2. Runtime Differences:
  3. Speed: Humans can tolerate a 30-second startup; agents require milliseconds.
  4. Problem-Solving: Humans work sequentially, while agents can branch into multiple solutions simultaneously.
  5. Data Interaction: Agents need clean APIs rather than human-readable outputs.
  1. Market Adoption and Strategy
  2. Daytona's pivot coincided with a move to San Francisco to capitalize on the local tech ecosystem and gain traction.
  3. Post-pivot, the response from potential customers was overwhelmingly positive, with many requesting API keys immediately after discussions.
  1. Investor Relations
  2. Ivan shared how he cautiously hinted at the pivot to investors and received strong support once it was announced.
  3. Discussion on how experienced investors tend to encourage bold moves, while less experienced ones may be more risk-averse.
  1. Building a Scalable Organization
  2. Hiring Strategy: Focus on deliberate hiring to maintain a cohesive team culture and avoid over-expansion that can lead to inefficiencies.
  3. Customer Onboarding: Implementing "white-glove onboarding" where serious customers receive dedicated support to ensure smooth integration.
  1. Seed-Strapping Concept
  2. Ivan introduced the term "seed-strapping," referring to raising a seed round, skipping subsequent rounds, and aiming directly for unicorn status.
  3. The conversation highlighted the high costs associated with AI infrastructure and how Daytona aims to navigate funding while maintaining operational integrity.
  1. Navigating Growth Challenges
  2. Ivan shared insights on the urgency of meeting customer demands while managing team workload and preventing burnout.
  3. Emphasis on product-market fit (PMF) and the importance of quickly adapting to market feedback.

Key Takeaways

  • Pivoting: The ability to pivot and adapt based on market needs is crucial for startups, especially in rapidly evolving sectors like AI.
  • Market Timing: Seizing the right moment and location (e.g., San Francisco) can significantly impact a company's growth trajectory.
  • Investor Support: Building a supportive investor base can empower founders to take bold steps without fear of backlash.
  • Customer Experience: Delivering exceptional customer support can transform a negative experience into a positive one, fostering loyalty and enhancing reputation.

Conclusion Ivan Burazin’s journey with Daytona illustrates the dynamic nature of the tech industry, especially in the context of AI advancements. His insights provide valuable lessons for founders, investors, and anyone involved in the VC ecosystem.

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Transcript

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0:00What happens when a founder walks away from paying enterprise customers to chase something completely unproven. Daytona was doing something completely different before. When we invested, it was a cloud ID provider. And then you guys pivoted all of a sudden with this amazing pivot. Ivan had built something that worked. Fortune 500 clients, six-figure deals, everything was stable. We had a large pipeline. Everything was going good-ish. Good-ish. But what if good enough was the enemy of breakthrough? Ivan saw something others missed. The agent can say, oh, I can see five things I can do right now.

0:28Does all five. And then from all five outcomes, it can say, oh, one, three, four are good, the other are garbage, and let's try five more outcomes. And you can just say, it keeps branching. AI agents that could work like the Marvel multiverse, trying every solution simultaneously. The demand was instant. Our belief was that we had already hit. Every single one that finished the call said, oh, send me the API key. No seven-month enterprise sales cycles, just pure hunger from the market. The amount of support was insane. Almost like half the people replied, let's fucking go. Amazing that you pull this off.

1:01Even his investors were stunned. But for Ivan, this felt different than anything before. I've done multiple companies. I've never actually felt pure PMF, which I think it is now. Pure product market fit, the kind every founder dreams of, but rarely experiences. For us, it was like month two. Has anyone ever done this? Like the three weeks in, we're like 67, whatever it was, You could see her on the trajectory. How did a moment of doubt about goodish become the fastest path to a million in infrastructure history? Every founder chases product market fit. Few ever find it. Ivan nailed it. Don't miss this conversation.

1:36Only on the EUVC podcast.

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4:07This show is not investment advice and the hosts of this episode may be invested in the funds and companies featured. Welcome back friends to another episode of the EUVZ podcast. Hopefully, you already know that we are the place where we try and gather Europe's venture family to share the stories, insights, and lessons that push our ecosystem forward. But today, we're doing something somewhat different because we have Ivan with us, who's in the States right now, and he will share with us a bunch of stories, insights, and lessons that we can all use when thinking about AI and dev tools and developer communities.

4:51Our guest, Ivan, has lived the founder's journey across Toronto, Croatia, Infobib, Shift Conference, and now Daytona, bringing a truly global perspective on how Europe can lead DevTools and beyond. This conversation is about scaling communities, backing the right founders, and of course, I will spotlight my dear friend Enes Huli from E2VC as much as I can. So Enes, first and foremost, could you tell us all why you think that we should have Ivan on the podcast today? a lot of reasons a lot of reasons the latest reason being his huge pivot about six eight months ago and how much traction the company has gotten ever since it has become the fastest growing infrastructure company ever reaching a million in about two months maybe less than two months like 50 days i'm not even sure but beyond that you've mentioned evan's background as well he has a very firm grasp of the local communities around the world he's probably done the over meetups in more than the number of countries there are probably more than 100 countries for sure so I thought that it would make a lot of sense and Andres, it's been a while since we did a podcast together so I figured it's about time you know, summer is over, we had our European summer it's enough, we should do one I was just about to say that but then I thought you're definitely going to talk about the European summer because you are too much in the States to not be affected by the affliction of dunking on Europe I'll take that and say everyone I've been talking to all over summer have all been working wherever they are so Ivan let's just hear from you tell us a bit about your journey all the way up to today building Daytona oh there's so much you know so I'll have to start somewhere and then you'll have to like direct me where you want to go first off uh hi everyone and thanks for having me it's great to be here I actually landed in in Europe I'm in Croatia right now so I landed like four days ago or five days ago back from SF so I'm here as well unless uh but unlike our friend here you can see that I have not been enjoying the European summer.

6:46I've been hustling through the entire summer. Man, I'm living the VC lifestyle. You're living the VC life. That's it. The founder is different, man. You're doing something meaningful for the world. They have a huge purpose. Exactly. They have a purpose. So that's why we're doing it. So yeah, I mean, I've done a lot of things. Yeah, we've done meetups in a lot of countries. I'm actually not sure how many. I should really count that at some point. But we've been all over, obviously, North America, Europe, but also Africa, both Northern and South of Sahara. Southeast Asia, like all over the world.

7:16We've done meetups. Adding on the comment that Enna said, but just like I should count them, but there's a lot of countries that we've done this for sure. I mean, my entire career has been around infrastructure mostly and developers. So like the first company we ever founded, I say we because a lot of the team members in Daytona have worked together on other companies, either as co-founders or as team members, whatever. I think like of the 15 people in Daytona now, 10 of them I've worked together in other companies and aggregate is like 84 years we work together, a lot of things. So it's like it's a very tight knit group.

7:52Obviously, that can't last forever, but it's really cool to have these people go with you through throughout the journey. So the first company was actually this is the early 2000s. So I'm old, pretty old in startup land. And the first company was creating, you know, data rooms and like racking servers and things like that in the early 2000s. And so we did everything from like physically screwing together servers, Dell, IBM, inside of a rack, Cisco, routers and whatnot, Hyper-V, all those things. And when we figured out that doing that as a service is not the most impactful thing we can do with our lives, we actually sold that company.

8:25And then at that time created the very first browser based IDE. So 2009. So it was like very, very early. We had to build everything ourselves. Nothing really existed from the IDE itself. There was no VS code. So we had to build our own orchestration layer, isolation layer, everything about sandboxes, which we call now sandboxes, by the way. We didn't call them then. We call them dev boxes or whatever back then. And so we did that super early to some success. After that, did a developer conference, which Ennis has been to and might be coming again, which scaled quite large, about 4 ,000 or 5 ,000 people come to the event.

8:58That got acquired by a competitor of Twilio. This company is out of Croatia. They do like over 2 billion in annualized run rate right now. acquired that and ran their dev experience department, created that completely, and then moved on to Daytona. So that's a bit of an intro, but basically everything has been focused on infrastructure in different forms, both as product and as services. And selling or working with developers has always been a thing, I guess. And then let's put Ennis on the spot to tell everyone, what does Daytona do? And then you can rate him afterwards, Ivan. Nice. So today, Daytona is an AI infrastructure provider.

9:38If you want to run your AI agents anywhere, it lets you run your AI agents anywhere on their network. Does that make sense? Did I make sense? Is this correct, Yipa? It is correct, but there's more. So yes, some people do do that. And it's like some people do do that. So basically what Daytona is, Daytona is the computer for agent. So what that means is all of us are probably on like a MacBook or a Windows laptop right now or something like that. And so we as humans, which are AGI essentially, have to interact with computers to do certain tasks, right? Agents, even though they are virtual and we think of them as being inside of our computers, like inside of ChatGPT or whatever, they are not computers themselves or they do not have access to computers.

10:20So if they need to analyze some data, clone a GitHub repository, use an application, use a web browser, whatever it may be, like they actually need a computer to get that done. And so Daytona basically enables an agent to have access to these computers. Sometimes some people actually run the agent in the computer itself. So like they'll put the agent inside as well. So basically what Daytona does, it is a isolated sandbox. We call it isolated sandbox, but essentially a computer that is created specifically for agents. So we use a keyboard, a mouse and a screen to interact with our computers. agents use machine interfaces.

10:58Most of the time are APIs. So we basically have APIs for everything to define the size of the machine, to turn it on, turn it off, to archive it. And like your Mac or Windows, it comes preloaded with a bunch of applications. So do our machines. So our machines come preloaded with like a file explorer, terminal, a Git client, all these things with API endpoints exposed directly to the agent. So the agent doesn't have to waste time parsing like terminal output that a human would read. but rather it gets it in a very neat and specific way. So an example would be if it needs to run a terminal command, the agent would just invoke the terminal, send the plain text command, get a plain text response, uses less time, less context window, less tokens, and higher probability of outcomes.

11:42And so we do have, for the most part, agents are run outside of the machines itself. But just to show, and this actually wasn't wrong, we do have people that run the agents inside the sandbox as well. I can give you an example of that, but I just wanted to tell it. And it was like half right. It was not wrong. We'll say that he's not wrong. A lot of our portfolio companies use Daytona by the way. I think one of the use cases was that. That's right. But Daytona was doing something completely different before when we invested, it was a cloud ID provided. And then you guys pivoted all of a sudden with this amazing pivot.

12:12I think, Andres, I think it makes sense to hone into that. Like what were the reasons for the pivot? Because Daytona 1.0 had customers, had revenue, was going for enterprise companies. But then three months in, I'm not feeling the push as much or pull from the market as much as I want to. So I want to rethink the whole business that I'm in, where we can use our core technical capabilities to build something different that will gain more steam. And then came Daytona 2.0. Yeah, I mean, I'm happy to jump into that. So Daytona 1.0. Yeah, we were serving enterprises. We had very, very large companies.

12:49Like the very first company that we had was a Fortune 500 company out of the gate. Like we haven't even incorporated. We had this customer, right? And so basically what we did was we helped these. So I'll take it back. So if you work at any of the large tech companies, so like Meta or like Google or like Palantir or whatever, as a developer, everything's automated for you. Just log in, you hit a button, everything works. If you work at any other company in the world, no matter if it's a Fortune 500, 5 ,000 or some random startup to get your dev environment up and running. It is a significant task.

13:23Like it'll take you anywhere from hours to days, sometimes weeks to get it up. And this is for every new project you're on. And sometimes if you want to switch between projects, you have to do this thing. It is very much a mess. On top of that, there is security, which is quite interesting for these large enterprises where not only is it complex to set up, but they'll make you work on a remote machine because everything has to be inside of a gated firewall or whatever. And that makes it even more unbearable for a human to use these services because they're essentially using it through a remote desktop, like essentially screen sharing, which is a terrible experience.

13:56So not only is it like hard and takes long to set up, it's also pretty bad experience as a developer. And so what Daytona did was made it possible for any enterprise to have their engineers click one button and everything set up. But moreover, that these setups will be in a secure place behind the firewall. But the developer could use their local editor if they wanted to. There's always a cloud if they wanted, but they could use the local one. And so they had the feel as if they were working locally, but everything was securely where the enterprise wanted it. And so that is what we started out doing.

14:26And we had, I think it was like 15-ish customers. And these are enterprise customers, right? So these are like five-figure, six-figure deals. We had a few of them that were already expanding, we got a large pipeline, like everything was going good-ish. And the real breakthrough was end of last year when we were, I was actually thinking around with this product called OpenDevon at the time, now called OpenHands. It was an open source version of Congreditions Devin. And to get it up and running, you had to install it on your own machine. You had to, there's like a Docker container and some scripts you had to run.

14:54It wasn't super complex, but it wasn't trivial by any means. I'm like, oh, well, we automate dev environments for work. I totally forgot about that. There was a phase in between where you were trying to make the most AI co-pilot native IDE. And you were trying to push the product into that direction. And then I guess that's like... Yeah, we were trying to figure out exactly. So we had a customer that had used the browser of Daytona as a runtime, then the browser-based IDE, then continue.dev as the co-pilot. So continue.dev is an open source version of Microsoft's co-pilot, kind of like cursor but just the plugin and so we put all those things together and we're like oh what else can we do and we're looking at these fully like i'm not gonna say vibe coding because i don't think devon falls into that but basically autonomous coding agents and so how do you get that up and running because autonomous coding agent needs an a runtime or a sandbox or machine for every single repository it's going to clone and then we tried to use daytona 1.0 to get that up and running and we did and some even more sophisticated customers came up to us it's like oh we need these run times for our autonomous agents we're like oh here's daytona 1.0 try it out and there's some people that we know together we won't mention them now it's like that try to use and they're like oh this doesn't really work well this is not perfect and we're like oh what's not perfect like what is it and i get this question all the time especially from investors or even like users like oh what's the difference between a runtime for a human and an ai agent isn't that like the same thing and it's like no it's really not the same thing and as we started like at that time working with customers, we started seeing how different the product roadmap was and how different the use cases were for humans and for agents, like specifically what they need.

16:37I'll give you just like high level examples is like one, a dev environment has been up for a human. And if you look at any product, it's usually plus 30 seconds. So it's like 30 seconds to a minute, two minutes, depending on what it is, you can cache them, make them a bit faster, but no one dies for 30 seconds. Like it's fine. Like that's what we expected. In interactive mode, like think of chat GPT if you have to wait for 30 seconds for it to boot up machine you're going to be like what the hell is this like I'm not waiting 30 seconds for this like you want this stuff instantaneous moreover agents can do more things at the same time so it's like a human will the way we solve problems is in a series so it's like we we try to solve a problem we get to a solution good or bad and like if it's bad we'll like go back and then do it again we'll go back and do it again to get an acceptable solution an agent can do that but an agent can be also like oh I'll just try all the solutions at the same time.

17:24So think like Marvel multiverse of possibilities, like the agent can say, oh, I can see five things I can do right now, does all five. And then from all five outcomes, it can say, oh, one, three, four are good, the other garbage. And let's try five more outcomes. And you get just, it keeps branching till infinity, till it basically gets to the required outcome that it wants. And there's no infrastructure that provides that right now. And the last thing, which I think actually is the most important is is machines really need different interfaces. So they can, and you have people using computer use and browser use, and we offer that as well.

17:59But that is not the optimal way for an agent to work, right? If it has to, it will. So think if there's some like old school health application or hospital, whatever it may be, that like you can think of a built out in Visual Studio or Visual Basic or whatever, that's directly connected to the database, there's no API. Then the agent has to use a computer use to use that. And that's an acceptable trade-off. But if it doesn't, if there's an underlining API, you want it to use that, right? And so how do you make all the tools and all the things that an agent can use through that? Plus, where does an agent, because agents don't have the ability as humans to do everything.

18:35So if agents using Daytona break or they have to fall back to a human, that is, I believe, an error on our part. And that's an opportunity for a new feature and or product. Like, can you give the agent the ability to finish the end-to-end task that it set out to do? So I sort of digressed with the conversation, but as we got into this, we decided basically it was end of January where we're like, this is a whole new product, a whole new category. No one owns a category. It is a net new product. So it's like no one even knows what is needed in here. We're all figuring out together. And the market opportunity is insane.

19:12Like if we got every enterprise user in the world, huge market. Great. Awesome. Ennis would be happy. He'd make back his investment. but agents like the number of agents in the world are like the number of humans to the power of n like i don't know how big it is but just like amazing and so just getting a fraction of that use base is larger than anything we've ever seen and it's probably on the larger side of what we expect it to be so with that we're like you know what let's go out and win this one because everything is about timing and i've had multiple companies before and right now the infrastructure providers that own the space there are going to be a pop at some point where like the bubble purse and whatnot.

19:49But if we've seen with every of these sort of waves, the fundamental infrastructure providers that have existed, they never die. Like they can be super successful, or they can be quote unquote, mediocre successful. We're talking still public companies, tens of billions of dollars worth, and you can't get rid of them just because they power everything there. And so it was like, this is where we're going, obviously not to be just one that sort of exists, but rather win. But regardless, it is a market that we saw was a great opportunity for us. And obviously, market is much more deeper and much more newly emerging.

20:22It's a blue ocean space. Your trips to SF and you spending time in SF, how did that shape you and shape your understanding of the problem definition? Because I feel like this was a really SF native problem when you were doing that pivot, say, you know, eight, ten months ago. So the pivot was actually February. So how much is it? How many months ago? Seven? Not much. Six. Six. Yeah, there you go. Time flies. A little more than six. But anyway, we actually did that as a plan. So when we decided that we were pivoting from enterprise human engineers to AI agents. So when we think of like users of Daytona, we think about companies.

20:59So we think of ourselves as a B2B2C. Basically, you know, any, I'll give you examples. These are not our customers, but just examples of autonomous AI agents. So you have like Harvey or Lovable or Cognition or I should say Devin, sorry. Now Airtable. So these are all products that have end users that are humans, but the product itself is an agent and that agent requires a runtime to execute on its work. And the thing I kept thinking about is if we want to win at this market, where is the highest concentration of customers or people building that? The highest concentration in San Francisco by large.

21:37The other thing that we were thinking about quite a bit in my mind was, I always remember the story, which I've actually confirmed is true. Dylan, the CEO of Figma, the way that he acquired customers was he literally hung out of all the designers in Airbnb and all these startups in SF. similar to that Jeff from Twilio because I worked for a competitor of Twilio for a long time not the same story but basically they became the infra provider for all the startups when they had started in Silicon Valley vibe. Figma is not an infra provider but it's still a tool that's used the thing that I remember about that is when you try both those companies when they own the core Mindshare, which is in Silicon Valley slash San Francisco, that sort of drips over to the rest of the world.

22:26Like you can push so much marketing spend from the outward in, like from Istanbul, from Croatia, from Paris, from London. It is so much harder. You're going against the market when you're selling outward into San Francisco. When you're going from San Francisco outwards, it just has a natural flow to it. And it's really, really hard. I've never seen, I don't know if anyone can correct me but i don't know of a global let's consumer but this is a dev tool which enterprise but it's still an end user that uses it like a like a human developer uses it that started or that continued to be outside of that core region and has won someone that was inside that core region like i can't recall i could be wrong but i can't recall any of them and so in our mind is like we have to go and like we are leaving and the day we decided to do that we presented the team and we got plane tickets for everyone.

23:16Like not everyone moved that same day, but I've been almost from February, almost to yesterday, entire year in San Francisco, back and forth a bit, but I've been there and there's always been team members going back and forth. Now we're opening a full-time office. Some of the people will be moving and hiring net new people there, but just from one, the go-to-market, the acquisition of the customers and just the mindshare, there's no other place than San Francisco. And on your note, like we already understood this, but for our team, it's always harder for the team to pivot and actually getting them in sf going to these meetups and talking to these people they're like oh shit like this actually makes sense and so it was actually quite useful for the team to get them um there multiple times this year when i landed in sf um this was march last year and then we obviously had lunch together i landed in and i was in an uber and i was like talking to the driver randomly about venture capital how the business model works our financial model, outlier returns, et cetera.

24:11And then I bumped into one of Daytona's billboards. There was a huge Daytona billboard. And throughout the city, I saw like, I don't know, maybe 10 Daytona billboards. And you guys had just pivoted back then. I mean, the product was really-ish. I'm not even sure if it was - It wasn't live. It wasn't even live. It wasn't live. Was that like a demand test for you? Were you like, I have to accelerate timing. The opportunity cost is way too high. Accelerating to check whether there's actual demand or not to shorten that feedback loop. why don't I just put 10 billboards all around the city? So actually our belief was that we had already hit, like we hadn't launched, but we believe that this, the market existed just because of the feedback that we had gotten.

24:47So just as a caveat, before we had pivoted, we had had like 10, 12, or sorry, 20, 22, 21, 22, like customer conversations, whatever. And every single one that finished the call said, oh, send me the API key. And we were like, okay, sure. And of course you forget to send the API key. because you have other things to do. They would literally, almost every single one of us pinged us the next day. Where's my goddamn API key? I was like, oh shit, like what is this? Like no one's ever asked me and coming from like enterprise sales where it's like seven calls across three months to get like a document, which is not like, not a contract, but what it's called POW or whatever to get it sort of up and running.

25:27Like what the hell is going on here? This is interesting. So in our mind, we took the bet that we were already right. Like that, that the market already existed. And there were some other players that had just started. There were some other companies that had some adjacent products. And we so strongly believed. We're like, okay, we have to get awareness now, even though the product isn't out. Like the product will come out in two months or three months, but we have to get awareness ready because the way awareness works, especially with these infra companies, it's not like, oh, I see this and I go do it today.

25:55It's like, oh, I see what the hell is this? Then maybe I check up on it. Then someone tells me and then actually need to integrate it, which is like two, three months down the road. so we already like foresaw that timeline and like let's get it out right away and i'm not joking it was so funny one of our employees had just landed in on sfo and took an uber and was talking to the uber driver first time in the u.s like guys never been to the u.s and he's driving and they literally stop on a light and the uber driver is like and there's like so many tech companies like these goddamn daytona guys are everywhere like the uber driver is telling him and he's laughing because he's like he works for that company so when you're at the point that the uber driver knows who you are i think that's quite good in them and again we've only done these in san francisco on purpose because like billboards i don't know how to measure the effect of the return on investment and i would never do them in paris or london or anywhere else because it's just like it'll just get lost but because everyone in sf is either working on married to dating aunt or uncle of someone, an AI agent, is like, we want everyone to know.

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27:03So they say, oh, we're using this. They told us, oh, I know what that is. Like, even if they don't know, I want them to know. And that's sort of the idea for us. Sort of saturating the mindshare in that place. Tell me a bit about, and this is for both of you, VC behavior support during a pivot. Like, what has been helpful? What has been absolutely not helpful? He didn't tell us. He told us after the pivot. Yeah, so I actually... He's like, oh, by the way, we just pivoted like three months ago. To be clear, to be clear, if you look at your investor updates, I hint on them the first few, like three months before, I start like preparing them.

27:39It's like, oh, we're trying this thing, this collab with AI, this collab with a cloud ID, this collab, like I hinted on... Oh, you did a hackathon. So you did a hackathon. And then he was also mentioning that one of the outputs of the hackathon was actually a good idea. So why not spend some time, you know, building that? Yeah, so I did, I was very, like, very conscious, like, self-conscious of this pivot. And I did. So Upfront Ventures, which is on our board, like, they knew. Like, we sort of, I felt the obligation to tell them. Like, we're doing this thing. What do you guys think? They were like, okay, sure.

28:12Like, we explained it. And they're like, okay, this makes sense. But I have to tell you. And so we have a bunch of angels on our cap table. Like, we have a bunch. It's like through an SVD mostly. But when I shot it out, the amount of support was insane. and i was like oh shit like almost like half the people replied so like 30 emails i get back and this was one of them and they're like go fucking go like let's fucking go amazing that you pull this off i'm like okay i should have done this sooner like i didn't sleep for like two weeks trying to figure out should we do this or not so we did i didn't seek support i was more like getting the the terrain sort of ready but once we did it um it ended up being really really people were really supportive even before we've got proof points that it makes sense like the proof points came what two months ago or something like that like that's when the proof points came but before that they everyone was quite quite supportive um of that which is an interesting dynamic i feel that the more i think about the world in general and this is like my personal observation is like the world appreciates you for having i don't know what the lack of a term is like courage or balls like whatever you want to say like i'm not trying to say it's like it's not a male thing can be male female doesn't matter um it's just like to have conviction and that's why you sort of see i think and this is my breakdown of like you know we people celebrate criminals we can say whatever we want like there's a ton of movies about criminals like everyone watches it like it is a thing and everyone that has the gall maybe there's a better to like try something it doesn't matter on what side of the legal framework or what you're thinking about it's like if you have the gall to try something audacious people respect that it's insane like it's very hard to generalized personally but like so even fire festival which i used to run conferences so watching that was terrifying to me um because you all we all think we're fakes until that actually happens and you actually do the conference and so like the fire festival just because he had the gall to like invite you know the top influencers the top supermodels do it on a public rose island there's like two documentaries about the guy right he ended up in jail he's doing another thing fine but you know we work like you know everyone adam new industry is a new fund like congrats to him like just having the goal to do something for better or worse like people actually respect and i might have done wrong examples here and hopefully no one cites me on saying like you have to do negative things that's not what i'm trying to say that's not what i'm trying to say at all he wants to spy into these people yeah yeah no no but i'm like so like you look at you know musk who just who tries like has the goal to say oh i'm gonna make a rocket ship and we're gonna like reuse that and go to mars like you have to have a goal to do that like how who gives you the right to say that?

30:41Like, how do you, you know nothing out of this, like, right? So it works in any dimension. I feel that we as society respect anyone that like has the gall to do that, which is a quite interesting. And it's hard when you're the one that has to do that. But once you do it, like people very much do respect that. I think it's really the type of people you surround yourself with. But in our ecosystem, if you're surrounding yourself with the right type of people, 95 % of what you're saying is correct. Whether that is true for the general public, I'm not sure because people do like the, you know, when you rain, you fall down.

31:13People do like to hit you in an hour. They do. They do. But it's not, it doesn't exclude it because you still have people watching all the movies of like all that. Like you have everyone watching Wolf of Wall Street and all the five Steve Jobs movies. Like, I don't know how many Steve Jobs. There's like a ton of them. Right. And so like, it doesn't matter on what side, just like if you had, if you went out and said, I'm going to do something super crazy and audacious, everyone's like, oh, I want to watch this. Of course, if Jeff Bezos lost all his money, everyone would spit on him right now. I mean, everybody in the sense of general population of people.

31:47But I think that doesn't exclude each other of being an entertaining thing. I don't know. But yeah. Honestly, I think that short form social media, TikTok shows very clearly what you're describing because it's almost people doing audacious things in some type of microcosm. I'm going to go in my kitchen. I'm going to do something incredibly stupid. And then that goes viral because we all love to see it. And I think it is true on a big scale and low scale. And then I actually thought a bit the opposite when you were about to talk about your angels and how they reacted. But it goes to show this importance around the sophistication of angels that you have.

32:25When I say in sophistication, it's in venture. It's in understanding what venture is. your pivot story and the market that you went for will make an angel that is happy to see you go for the moon and just maybe this will fail completely. I'm perfectly all right with it. I made 50 other bets last year. But if you have an angel, which we unfortunately have too many of in Europe, especially where they have five bets, they care enormously. A lot, yeah. No, no, no. work like you have real revenue. Don't fuck it up now. And here I'm being a bit facetious as well, but I do think it is. I think there's something very important there for anyone listening in that like it takes that wide portfolio to be able to wish for every one of your founders to just run at the biggest opportunity the fastest they can.

33:17I'd love to ask you, Ivan, because now you've very much laid out how you've caught lightning in a bottle. The question is then, what have you done these last six months? Because when the Uber drivers know you and they all almost ask you to give together with the payment details, they also ask you for your API key. What do you then do? How do you make the company ready? What are the first things you got to get right? What have you maybe gotten wrong that you think could have been done differently? Whereas funding and all of this? The thing that we all get, I mean, I don't think it's all, like I used to get caught up with is all the things around the company is like, oh what is the brand what is the logo what is this like how who is the what is the structure what is like the all that that all means nothing that's like that's all useless at this point in time right it is can you make it sounds like like very cliche paul graham's make people make something people want but it's like i've done multiple companies i've never actually felt pure pmf which i think it is now and i think i haven't like because i've never had it before and i think i have it now right where the point is that you have so much work and so much customers and so much demand that you just can't finish the date like the day ends and just you don't sleep no one sleeps my cto is gonna die i think he sleeps like four hours a day or something like that like and yes yesterday i was speaking to evan i was like hey like we're still a catch-up call yeah i haven't spoken for a while and he was like we're having the podcast tomorrow no like that's our catch-up call yeah that's our catch-up call although we can't talk about a lot of things there's a lot of interesting things to talk about it's insane to be able to get that thing and so when you get that there's a lot of things you have to do so we obviously we had this great idea when we started even daytona we had like this brand the brand guidelines design of the web construction of the team we had like cycles of releases everything was as you should be a company daytona 2.0 has nothing like none of this like we don't have official releases we push out every day or every other day as soon as you like get a chance to you feel like internally things are falling apart sometimes it's like you have we sometimes have outages because of like so much the usage that we didn't plan on having that because someone just like fired up, you know, 50 ,000 of these sandboxes instead of the average 10, which they usually do.

35:27And you have like customers coming in and then you have, they have requests and requirements and you're trying to solve all these things. And so what you're trying to do basically is every single day, make sure that more people are coming in at the same pace, which my CTO wants to shoot me because of this, because I'm still doing the mansion things to get people in, but you have to make sure that nothing breaks at the same time. But you also don't want to over architect things because I've done that. And we've done that historically where you're making this massive product for like massive usage and then no one shows up.

35:55Right. So it is basically how quickly can you make that small thing that people want, which I really didn't understand. That is basically the thesis of YC and those companies of YC. You often see, and we work with a lot of these companies, we're like, the thing that they created is so thin. I'm like, oh, but it's so thin. It is because they're just trying to figure out what is the key problem they're trying to solve. the depth will come later they'll solve that um as you go and i think that's probably the most right way to build out these companies especially in that it's always been fast moving but this one's insanely fast like the the ai boom is like so fast and so if you haven't hit any turbo pmf like after three four months just like kill whatever you're doing and like move on to the next thing it's hard to do that but you should and sorry i i didn't answer your question exactly but But actually, Ivan, let's stay on that.

36:43And then we go to the scaling part afterwards and how to get the organization and everything ready. But I would just love to ask Enes to react a bit to what you said. Because hopefully, being an investor, he has seen other people catch lightning in a bottle. And can then maybe elaborate a bit on the pattern here. You think you do. And now you just realize you haven't. There's always something that gains even more. So, I mean, we had three unicorns in our portfolio in fund one. Obviously, all of them grew super fast. you would see 3x your year growth for like, you know, five, six years straight.

37:13And then that gets you to almost 100 million ARR and then, you know, makes you a unicorn. But then with AI, that completely reshaped our thinking. Even in our portfolio, our Fall AI went from zero to a hundred million dollars in ARR in like, what, 15 months? I vividly remember when they signed their first customer, it was like end of Q1 2024. And now they're like a hundred million dollars in ARR. So you think, you know, how strong product market market looks like. And then something even stronger comes around. and I'm like, oh yeah, I mean, now I understand what fast means. But a lot of the founders, just like what Ivan mentioned, they think they have product market fit when they don't.

37:47And then they try to do these brute force sales and that company initially turns into more of a linear progression and that has almost like a diminishing or an asymptote where growth stalls and you end up with companies with a couple of million dollars in ARR. We've seen a lot of those in our portfolio as well. So what Ivan mentioned in terms of that iterative mindset, understanding when there's a pull from the market and then doubling down as you feel the pull, but not doubling down when there's no pull. Instead, trying to iterate around the business levers definitely makes sense. That's why C-Montra works, especially in AI, more so in AI.

38:20No, for sure. And like, it's more, I was talking to my CTO the other day. It's like, it's more like a feel, like there's metrics, I can share metrics and I've shared with our investors, but it's just like a feel like every single day that you have like five new customers are like pinging you on Slack. Then you have five new emails. People are signing, you have no idea where all this stuff is coming from. and then something breaks and then 10 people call you because it's broken well that means that someone's actually using your thing right because otherwise if they weren't using it no one would call you right so there's like all these things happening and they're happening at the same time and then you look at metrics and they're good they're great but the the feel is even more that you know that that that is happening right now so yeah uh so what we're trying to do at the same time is add gas to the fire but also make sure that like you can contain the fire or generate revenue or serve those people there.

39:06I was going to ask, fastest company to reach 1 million ARR. How did you come up with that? What does that mean? Did you go company by company and looked when they reached a million? Yeah. So for us, it was like month two. We're like, oh, it's like 80-ish, whatever. It ended up at 84. But the three weeks in, we're like, huh, we're like at 67, whatever it was. You could see your own trajectory. And I remember the companies we did before, you know how long it takes to get a million ARR? Like it took a long time to get there. I'm like, shit, this is in two months. Has anyone ever done this? And you start researching and obviously there's not a lot of exact data.

39:42And most people look at that zero to a hundred million, which is, I completely respect that. And also I respect that zero to one million is not as impressive as it was zero to 100. I get it. But also as a founder, one of your jobs and to keep top of people's mind is like, what things can you push out to the market so that people continuously think about you, right? And that's just one of them. And then I started researching this and there's not exact data, but I do have like quotes or citations of where I pulled this out and you have like rough ideas. And so you have like Guillermo of Vercel saying, oh, we started monetizing 18 months ago and we just passed like a million or whatever.

40:19So not exact dates, but you get like approximately where that is. Right. And then you have like Cloudflare and all these other companies you can sort of like work back. And then you have like public investor updates of Twilio when they're at 750 ,000. in and that was whatever x months in it wasn't two right it was like 10 or 12 or whatever i forgot the number right now but basically they're all and when you look at all the companies especially infra companies it basically starts at 12 months like at 12 months is where you start getting close to the millionaire and then it goes out to like 36 months the reason the the the examples that were closer was aws us and i forgot which other company was closer to here but aws was super fast similarly because it was Amazon, because they built it internally and because they already had internal customers that were trying it.

41:06And then when they opened the doors, it just basically like started right away. And even for them, it took them like three-ish months to get there from the data that I had found. Right. And so the reason is like, oh, well, we seem pretty fast. And the reason is because Infra, in general, the way Infra works, unlike consumer, consumer, you can think of like lovable, fastest company of all time, is that you guys will come to lovable swipe a credit card, same day, revenue comes in same day. For Infra, so the Twilio's, the Stripes, the US, the AWS, whatever, is like, oh, cool. I know this exists. Okay, I know what this is.

41:40Then I have a use case. Then I build a use case. Then I launch the product. Then users come in. So you have like these steps. And that's why we did the billboards in advance, because we're already cognizant of these steps that happen. And then can we already skip over these steps before the product is launched. And so that's the reason we sort of like announced that. And we did screenshots of our data because like today everyone's the fastest growing company and all the graphs are like without numbers, they're just graphs. And like, okay, we might as well like be more authentic with this and actually shoot out screenshots so people can say that.

42:11And people did respect that. There were some people that hated on it. And they're like, there's an actual screenshot and they're like, okay, done. Respect, we're out, good for you. And I mean, obviously now we have to get to the 10 million and to the 100 million and whatnot. Yeah, now we're all waiting that. Now, if you extrapolate going to a million in two months and with all the pipeline that you have six months in, a year in, how would the error look like? I mean, now there's built up expectations. Yeah. But just on expectation-wise, our plan was to be like three million-ish end of year, end of year, originally.

42:42And it's way faster. But now you're there probably, like end of August. Yeah, yeah, yeah. So I did not say end of August. Do not expect that in the investor update. But yes, it's definitely sooner than we expected, for sure. And then this is the perfect pivot, obviously, to then talk about how do you make the company and everything ready to be able to actually accommodate this skill? Because it's not as simple. It's one thing to catch the genie. Now you've got to harness it. You have to harness it. Yeah. I mean, there's a lot of things that you have to do. And so one thing people think about always is throwing headcount on that, which true, you have to add people.

43:15But also if you add too much headcount and it breaks up the team, you hire less higher quality. There's like all these things you have to figure out what to do. and what is the most impactful and slow, I actually think about slow way of hiring people because you don't want to overhire. Like the easiest thing you do is hire 50 people, easiest quote unquote, right? But like, what is the type of work? What is the culture? What is, and I don't like the word cultural specifically. I feel there's like a bad connotation to that now. But basically when you come in any company, there's a vibe sort of like how people work, right?

43:45And so our vibe, and so there was like, and last week there was like a huge, huge, I should say, there's a huge interruption in work there's like a two really large customers just came in and overloaded the system and i was in the u.s that most of the team was in europe i had woken up gone to sleep woken up they were awake the entire time like the engineering team all the time no one was asked there was no like hey can you please stay awake to solid trial they just like piled through like i think they took like two hours stints of naps or whatever to survive but no one ask them to do it right and so if something is needed to do and that's the way we you know work there's no question that you will or will not and we all have our own like jobs and scopes of jobs and everyone takes care of those and so that is how we get things like it's just one example but like can you hire more people like that the same thing with like flying so i was in europe two weeks ago i had to be in a meeting in san francisco 2 p.m the next day i was there 2 p.m the next day like literally that's like two it's two flights it's across the world 2 p.m the next day i'm there and everyone else like depending on what your job is you will be there where you need to do and no one's sort of asked to do that it's like just like if it is understood then it's understood that we have to do that and so like can we back to your question is like one of the things you have to do obviously one of the things we have to do is get the right people in the right places that are literally breaking to be able to harness um that genie but make sure we hire them in respect to what is needed.

45:11So on the GDM side is like, we have a part-time head of compliance, probably have the full-time there. It's interesting, especially when we get to larger customers, how much compliance and docs you have to go through with them. It's not just having SOC2, it's like all these security questionnaires and all of these things you have to jump holes through and you literally have to have a person to run this. Otherwise I have to run this instead of doing other things. And continuously we have, we do a lot of white glove support. People say about white gloves or board. I'm not sure if they all do that.

45:40I haven't experienced it. But for us, every sophisticated user, sophisticated means it could be a large or small customer, but they have a high probability of usage. Because in infrastructure, we have a large power law like NVC. So what we have to do as a company is make sure we get the fast growing companies, because those are the ones that will help us grow. That's how we got to a million. And if we get the right two companies, we're at 10 million, like two, not 100 companies, right? And you have to make sure we're in these companies. And so the way you make sure they get in is as soon as they're interested, they're in a Slack channel with the entire team.

46:13Obviously one person owns that, but like every question, every bump, every feel, everything they get, there's a person on the end of that just flying to them. You can use AI for support. Obviously we can help. You can do a lot of things, but making sure that they get from, we want to use your product to be fully onboarded and integrated with zero bumps or at least every bump is taken care of goes a very very long way i read a book and i'm sorry i'm feel like i'm giving you guys a chance to talk just one thing is i since i ran a conference i read all the books i could find about conferences and there's not a lot there's books about experiences theater and um what are the disneylands of the world what are they called these adventure parks yeah theme parks right They all are part of this experience economy.

47:02And the thing that a lot of the key lessons I learned through that is every experience can be into a positive. Not even every, but every bad experience can be a net positive experience. Like if a shitty experience, so that example is like an airline, right? Your flight is late or it's canceled, whatever. If at the, before they come, the person that has a canceled flight comes to you, that you come to them and say, you know what? but we're sorry, it's canceled because of this or this. The next flight is at this time. We have booked you a hotel, a whatever, blah, blah, blah. And you have the next flight.

47:37These people are not only not angry, they will actually positively remark that airline. Because even though their timelines are missed, everything is missed, the way that you presented a solution to the problem before they got the opportunity to get mad at you, because we're all human. And they're like, these guys appreciate me. These people appreciate me. They solve the entire problem. There's nothing for me to do now. I can't get mad because there's like a car waiting for me to take me to whatever hotel. I have dinner and they'll drive me back and they'll compensate me for all these things. Like, this is great, right?

48:12These are the things that you do. And I remember there's one about Disneyland. And I haven't been actually to the hotel in Disneyland. I don't know who has can reference check. This is that there's supposedly this red phone, which calls room service right away. and like magically give you whatever, like ice cream sundaes for the kids or whatever it is. And just pick it up as like the bat phone. And like you right away get connected. There's no way they say, what do you need? And they serve it right away. And it's like these experiential things, people don't think about this much in products because products are not supposed to have experience with people.

48:42But if you do these things, you can win a lot. And like we're a startup, we're an infrastructure company. There's issues obviously. But if you get ahead of all these issues and make sure you're ahead of that, all of them become net. positive things. And I want to keep doing that for as long as I can. And I want to ask you, is there something here on the growth journey, the getting ready to scale or actually starting to scale part that you'd love to ask Ivan about? I heard this phrase yesterday and I loved it. It's called seed strapping. It's companies raising seed, not raising an A or a B and then becoming unicorns.

49:17And apparently it became a term in and know, with cell phone with AI and with the growth that Daytona has seen or companies like Daytona, Fowler, a bunch of examples like that, you can see, strap your way towards a unicorn, right? And then obviously what that means for series A, B, C, V, C is tough game. And then obviously they want to go, you know, they want to do this shift left movement as to doing more preceded investments. And then what that means for us is obviously even fiercer competition. But from your perspective, as Daytona, and I'm looking at your margins, your growth, do you think you're in a trajectory like that or do you think some some companies are in such a trajectory where they would raise you know three four five six up to 10 million and then go the unicorn route i mean there's a lot of ways to think about this and i see like raising pre-seed and seed seems so easy right now in hindsight like i could like the next come i could raise a pre-seed tomorrow for my next come like easy like not even me like i could teach someone to do that like you just talk to people all day there's so much so many ways to do it like we only had one call no we only had one call yeah i think so just one we had two calls we had well we met i met with dunia and then and then there was a call and that's it yeah yeah okay but you can do so many routes like as a pre for a pre-seed that's a pre-seed i mean like this is like a two three four million thing like that is a seed usually that could be a seed as well and to do that you can do like you can do a one multi-stage when dreesen can write your check sequera can write your check you know ennis can write your check or it could be like a a couple of pre-seed funds like it's the first time someone mentioned my name among those you know yeah yeah i'm trying yeah i'm trying yeah yeah and you could do that but you can also be like i think you were the counter example yeah it's still the same it's still in the same sentence it's still in the same lines don't take it away from him don't take it away from him um and you can also just like do a party round where you just like do a bunch of angels there are so many angels that will write like 20 50 000 100 000 checks and you'll get your your number so there's there's so many ways to get to that initial amount and what you need.

51:19The interesting dichotomy of AI right now is that on one side, you have people saying, oh, you'll never need to raise money because AI automates everything. On the other side, like it has never been more expensive. Like the cost of everything is so, so high. And so you're raising more. So there is both of that. But to your specific question, like potentially, yes. And we think about this as well. And so I've talked to a partner at almost every VC fund in San Francisco, I think. If someone hasn't, they can reach out. But I think I've talked to a partner from every single one. The thing for us is when we talk to them, especially since in the position we are at without exposing too much, is the potential next round that we would do is an A.

52:03And so if we do an A, it has to be on the terms that we want with the partner that we want. Otherwise, we're not going to do it, at least now. The reason is we have enough cash from our investors among them and is here in the bank account and revenue is growing at a pace that is pretty good, pretty insane. And our gross profit margins are there. So we're already, as far as like, as far as COGS are concerned, like we're already in the positive, like we're already making that money in. And so we were just, we're in the negative for the employees that we hire. And I assume in the next six months, we can already be cashflow positive or neutral if we decided to do that.

52:40Now, you also might want to grow faster. There's competitors. There's other things you want to do there. So it is a, you have to think about it. But I would bet you that there will be more and more of these, as you call them, what was the word? Seed? Seed strapping. Seed strapping. Seed strapping? It's like bootstrapping, but seed strapping, yeah. And I don't know where that puts for investors as well, because it depends on where you get liquidity later on. The thing that's interesting for me and the way I think about investors always is why are public companies more interesting to people than bootstrap companies?

53:15Even if the owners, the founders get even the similar. So you have like bootstrap companies that make$10 million a year or whatever it is. And so over the course of 10 years, they'll make$100 million. And so getting$100 million is not trivial as a founder still. Like even as an exit, you personally all the way down, right? And the reason I think that this is true is that the vested interest of a large number of people in the company push that to hire. So the thing is like, if I raise a new round, my lawyers love it, right? Like they love it because they get to charge me more, right? Then there's more investors in there.

53:50And then I have to like hire external services. Like we have a bunch of external services and the bigger I get, the more external services I have to pay for, right? And then they all have a vested interest that like Daytona is not successful. Now, like the, the billboard companies are, have a vested interest that I'm successful because I like, if it's not us, but someone else, and then as you grow and go, and then when finally, when you're public, then the retail investors outside of the, you know, the BlackRock's, the KKR's and whatever also have a vested interest to be doing well. And then all of these sort of like push you upwards faster than if you were a bootstrap.

54:22So to your question, I think we'll probably see more of these that are the seed level that don't do it for sure, especially if there's no bullish board seat. So no one's pushing them to do that. But net net, I think that a more successful company in general will continue on a similar path as history because of that. I hope so. It's better for us. I like it. I don't want to be obsolete. I like this asset path. Yeah, there you go. Well, honestly, I think that there's VC wisdom is a bit obviously valuation only increases from rounds to rounds. There is especially in AI, not a lot of learning from necessarily a pre-seed to a seed to a series A.

55:03And for that reason, well, if you're a multi-stage fund, might as well plow in the 8 million or 4 million early, make it a bigger round then. And then either you own a bigger chunk later by not having had dilution or it's just gone and then it's smaller checks in the end. So I do actually think that there's a lot of sense behind that. And the growth of funds has definitely allowed it. And then this fact that we have less learning from round to round. There's so much we could unpack. You mentioned something around you wanting your next round to be on your terms. And there's a bunch we could unpack there.

55:41I only want to ask you one question on that because the frothiness of 21 led a lot of people, a lot of founders to have rounds being done where some of the good old governance parts of VC, which can actually be valuable and value add, kind of went out the window. And some would say that that's exactly what's happening in AI today. I love to ask you, good terms in your next round is that no one can ever impact me. I can run the company entirely on my own. Or do you see a point to having governance? I'm sure there's a point to have the governance and that all makes sense. And it's all in the details rather than, oh, I want like a blank check type thing, right?

56:25The way I think about it, if we continue down this path, you don't know if you're going to need dilution again, depending on what you're doing. So if you go down the average path, you're going to do like a series A, then B, then C, then D, then, you know, IP or whatever it is. You dilute yourself on every single one of these, right? And so if you go down that mathematical equation, like how much do you dilute yourself? How much do you let yourself be diluted now versus later? And then there's also a question of like, when you dilute yourself, for what reason are you diluting yourself, right? So very transparently, because of the growth that we have in the revenue that we have, like we can raise money from like individuals if we need it.

57:04We can do like, not essentially, we can do smaller VCs plus community round plus angels plus whatever and still do an A size round today. Like literally we can do that today. But then in that case, you just have the cash. You don't have necessarily the value add. And then when you think about that, it's like, okay, if I can get the money either way, if I need to do it, who am I going to take the money from and who is going to impose these things on top of you. So it's not the same thing to say if VCA, I'm not going to name anyone, gives you 15, 20, 10 million dollars. They impose whatever governance, but they also give you all these other things versus you can get just general money without having anything imposed, but there's very, there's no benefit outside the actual cash.

57:51That's also another way to do it. And then everything in between doesn't really make sense to get guardrails imposed without actually any benefits? Because, I mean, there is order of magnitude, like 1 ,000 VC funds in the Series A. Order of magnitude, there's like 1 ,000. There's like 10 ,000 VC funds in general. And so, right? And so we always talk about like top tier funds or S tier, tier one, tier two, tier three. Like there's a lot. There's like literally 1 ,000 funds we can accept checks from right now. So there's a lot, right? And so who do you take it from? And obviously, depending on the value that they can add and different ones have different value, right?

58:27Some of them are like media outlets. Some are just like super strong brands. Some have like a sales team. There's like different things. Some are like strategic. They can be a huge customer. And so all of these things have trade-offs. So you have to think about all these things. But if no, none of these funds give you anything significant, but they impose different things because they certainly do oppose, then it doesn't make sense to take that. That being said, I also think it's quite different than the 2021 era where a lot of the main metric today is run rate, not ARR in the sense of reoccurring revenue, but it is run rate.

59:00And so there's actually cash being collected and made. I'm not sure that in the 2021 era there was like that much actual cash. It was just like hype and growth and cheap money and all these things. So there is some difference to that. I'm not saying that all these companies were - No, you're absolutely right. Yeah. 21 was driven by frothiness in the capital markets. Now it seems to be frothiness in the customer and demand market, if anywhere, which is a good thing. I mean, they can still die. Like we're in a hype cycle. If this all dies, then all these customers die, then it all falls down. But it's kind of different in that sense.

59:31Like I feel it's different. Ivan, Enes, thank you so much for joining me on the podcast today. It was a pleasure. Well, thanks for having us. It shall be incredibly exciting to see what comes next, Ivan. Thank you so much. Thanks, guys. Before we start the show, a quick note. If you're building or running a fund, you know it takes the right partners. At EUVC, we only work with sponsors we truly believe should be part of your tech stack. Please do take a moment to hear about them. And if you do, reach out, mention EUVC. It's the best way you can support what we do. Thank you so much. Starting off, HSBC Innovation Banking.

1:00:05If you're a founder, a scale-up, or a VC, you need a bank that actually understands your world. HSBC Innovation Banking backs innovation globally, from seed to IPO. And if you ask me, a strong banking partner like HSBC belongs in your stack. If your portfolio companies are scaling, they need infrastructure that won't slow them down. Google Cloud Starter Program offers$2 ,000 to$350 ,000 in credits, plus technical support to build better and faster. It's a key boost every fund should bring into their ecosystem and oh my god are we thankful to be partnering with them. Now legal is a space you cannot lag on.

1:00:42Legal needs to move at the speed of venture. Goodwin's team has decades of experience with startups and funds. They're trusted at every stage from formation to exit. Goodwin definitely is a legal partner every series manager should have in their stack. For Luxembourg based VC, PE and Fund of Fund managers, modern funds means going digital. Funcrafts gives you a full service, digital native platform built for today's European managers. It's a must have if you're scaling smart. So we all hear about the Middle East. How about you go there? From AI to deep tech to sovereign funds, Guy Techs in Dubai is where global future of tech gets negotiated.

1:01:17It's not just a conference, it's where East meets West, capital meets innovation and the bold set the agenda. If you're playing on the global stage, join us going to Guy Techs this year. If you're gearing up for your next fundraiser and want a placement agent who truly understands emerging managers reach out to cfunds their boutique placement agency that has helped gps across your brace capital from top tier lps we've been on the other side of the table here they are actually good ones to work with so i do urge you to go to cfunds.io to go and check them out and hey before you go if you're looking to discover startups raise capital or connect with innovation leaders do check out dealflow.eu the eu-backed platform bridging founders vcs and corporates.

1:01:55There's no better place to find the startups that have received significant funding from the European innovation ecosystem.

From the publisher

Welcome back to another episode of the EUVC Podcast, where we gather Europe’s venture family to share the stories, insights, and lessons that drive our ecosystem forward. Today’s conversation takes us on a global journey from Croatia to San Francisco to uncover how one founder caught lightning in a bottle and is now racing to harness it.

Our guest: Ivan Burazin, founder of Daytona. With a career spanning Toronto, Croatia, Infobip, Shift Conference, and now Daytona, Ivan brings a rare, global perspective on how Europe can lead in DevTools and AI infrastructure. Alongside him, our dear friend Enis Hulli from E2VC joins to spotlight Daytona’s story, the lessons from its dramatic pivot, and what it means for founders and investors navigating this new AI wave.

Ivan has spent two decades at the intersection of infrastructure and developer communities. From racking servers in the early 2000s to launching one of the first browser-based IDEs in 2009 to scaling the Shift Conference to thousands of attendees, his career has consistently circled around enabling developers.

Daytona’s first act was a cloud IDE provider for enterprises — “one-click setup for secure developer environments.” With Fortune 500 customers onboard, revenue flowing, and a healthy pipeline, Daytona 1.0 showed promise. But something was missing.

Six months ago, Ivan and his team made a bold decision to pivot. Daytona 2.0 is no longer about provisioning dev environments for humans — it’s about powering AI agents with the computers they need.

“Agents are not computers themselves. They need access to computers to run browsers, clone repos, analyze data. Daytona gives them that — an isolated sandbox with machine-native interfaces built for agents.” – Ivan

The differences between human and agent runtimes turned out to be massive:

  • Humans tolerate 30 seconds of spin-up; agents need milliseconds.

  • Humans solve problems sequentially; agents branch into parallel “multiverse” solutions.

  • Humans parse terminal output; agents require clean APIs.

By recognizing this, Daytona carved out a new category: the computer for agents.

The pivot coincided with a deliberate move to San Francisco. Ivan recalls how Figma embedded with designers at Airbnb, or how Twilio found adoption among early Valley startups. To own mindshare in a new category, location mattered.

“From San Francisco outwards, adoption flows naturally. From Europe inwards, it’s like pushing uphill.” – Ivan

So Daytona went all-in: presence at AI meetups, team members flying in and out, and early product evangelism on the ground.

HAfter the pivot, Daytona saw extraordinary pull from the market:

  • Customer conversations ended with “send me the API key”.

  • Infrastructure demand showed power-law dynamics: just a handful of fast-growing customers could drive scale.

  • Instead of polished decks, Ivan shared raw revenue dashboards with authenticity.

The momentum was immediate and tangible.

Ivan admits he hadn’t explicitly asked permission to pivot. He hinted at it in updates, tested the idea with a hackathon, and only later informed his cap table. The response? Overwhelmingly positive.

“Almost half the angels replied. Go f***ing go. Let’s go. I should’ve told them sooner.” – Ivan

Enis highlights this as a key distinction: experienced angels with broad portfolios encourage bold swings, while less diversified angels may fear the risk.

Catching lightning is one thing. Harnessing it is another. Ivan’s current focus:

  • Hiring deliberately: keeping the team small and ownership-driven.

  • White-glove onboarding: every serious customer gets a Slack channel with the whole team.

  • Balancing speed and reliability: ship daily, but solve today’s scale problems without over-engineering.

Enis introduces a new term: seed-strapping — raising a seed, skipping A and B, and scaling straight to unicorn status.

Ivan is cautious. Infra is capital-intensive, and while Daytona could raise a Series A today, he’s committed to doing it on his terms.

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E568 | Ivan Burazin on Building Daytona, the Computer for AgentsEUVC · 1 h 2 min
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