20VC: Lovable on Hitting $17.5M in ARR in 3 Months | Adding $2.1M ARR Every Week | Hitting 85% Day 30 Retention: Better than ChatGPT | The Story of Europe's Fastest Scaling Company with Anton Osika

5 Mar 2025 · 51 min

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Podcast Notes: The Twenty Minute VC (20VC)

Episode Overview

  • Title: 20VC: Lovable on Hitting $17.5M in ARR in 3 Months
  • Guest: Anton Osika, Co-Founder and CEO of Lovable
  • Air Date: [Insert Date]
  • Host: Harry Stebbings

Key Highlights:

  • Lovable is the fastest growing startup in Europe, having achieved $17.5 million in Annual Recurring Revenue (ARR) in just three months.
  • The company is currently adding approximately $2 million in new revenue every week.
  • Lovable boasts an impressive 85% retention rate on Day 30, outperforming ChatGPT.

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Key Discussion Points

  1. Origin of Lovable
  2. Side Project to $200M Company: The journey began as a side project before scaling rapidly.
  3. Talent over Experience: Osika emphasizes the importance of hiring for potential and culture fit over merely experience.
  1. Pre-Launch and Growth Strategies
  2. Waitlist Strategy: Leveraging a waitlist to build anticipation and streamline user onboarding helped achieve rapid growth.
  3. Public Launch Mastery: Achieved $0 to $1M ARR in just a week due to strategic planning.
  1. Financial Insights
  2. Raising a Large Seed Round: Osika advises on the benefits of raising a larger seed round to provide ample runway for growth.
  3. Sustainability of AI Revenue: Discussion on the viability and sustainability of revenue generated through AI-driven products.
  1. Competition and Threats
  2. Incumbents vs. Open Source: Osika discusses the competitive landscape, contemplating whether traditional players or open-source models present a greater threat.
  3. Navigating US Market from Europe: Strategies for competing in the U.S. market while based in Europe.
  1. Future Vision and Market Dynamics
  2. Foundation Models: Insights on the competition between major AI players (Grok, OpenAI, Anthropic) and their different market approaches.
  3. Regulatory Challenges: Concerns over upcoming regulations and their impact on AI-driven businesses.
  1. Culture and Team Dynamics
  2. Cultural Integrity During Scaling: Osika stresses the importance of maintaining a strong company culture as the team grows and scales rapidly.
  3. Hiring Philosophy: Preference for hiring junior, ambitious talent over more seasoned, but potentially less adaptable, experienced professionals.

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Key Takeaways

  • Execution is Key: Osika believes that the ability to execute ideas effectively is more important than the resources available.
  • User Focus: Always prioritize the end-user experience; understanding the users' needs can drive product development.
  • Adaptability in Leadership: As the company grows, flexibility in leadership styles and team structures is crucial for maintaining momentum.

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Quickfire Round Insights

  • Beliefs: AI is smarter than humans but lacks memory and context.
  • Founder Traits: The ability to judge talent is paramount in successful founders.
  • Concerns: The biggest risk is losing momentum and excitement within the team and among users.

---

Closing Thoughts

  • Anton Osika provides an inspiring narrative about building a successful technology company in Europe and emphasizes the potential for entrepreneurs in the region. His insights into team dynamics, market strategy, and the future of AI highlight the evolving landscape of startup culture in Europe.

For more information, visit [20VC.com](http://20vc.com).

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Transcript

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0:00growth starts ramping up after we launch. We're growing 1 million ARR per week at some point. How is she growing now, week? 2 million ARR per week. We have 1 -1 retention that's better than chat - GPT's 1 -1 retention on the pink customers. The most important thing is talent and culture, and there is more raw available talent in Europe. It only, you think that matters, is execution. So if you can outperform your execution, then I'm scared. This is 20VC with me Harry Stebbings. In today we have Anton Asika, co -founder and CEO, Loveable, the fastest growing start -up in Europe. With Loveable, you can turn your idea into an app in seconds with just a prompt.

0:41Check out these stats. After just three months, the company has scaled to 17 .5 million in annual recurring revenue. They are adding 2 million in net new revenue every single week. That's like $300 ,000 a day. Even better, Lovable has 85 % day 30 retention rate, making it more attentive than Chatch EPT. This is such an incredible story to unpack today. But before we dive in today, here are two fun facts about our newest brand sponsor, Kajabi. First, their customers just crossed a collective $8 billion in total revenue. Wow! Now, second, Kajabi's users keep 100 % of their earnings, with the average Kajabi creator bringing in over $30 ,000 per year.

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4:15Visit aws .amazon .com -flash .ru to get started. You have now arrived at your destination. Anton, fastest growing company in Europe. What a title, but first, thank you so much for joining me, Steyman. Thank you, Harry. It's always fun to talk to you. That is very, very kind of you. It's the British accent, but I want to start actually pre -lovable. And I spoke to a couple of your investors in your first company, Depict. And so I just want to start there. What are your biggest takeaways from depicts that shaped how you think about lovable? We scaled super, super fast that the picked as well. And we did like moving just very fast, scrappy, nailed that really well.

4:57I think we did really well on this high potential talent as well. Quite junior with high potential talent. And you can see that from all the companies coming out from the picked, the picked mafia is absolutely absolutely real. But I think what works in the beginning is to say yes, until a lot of opportunities and try out what works. Once you become more people and you have to follow up and maintain everything that you start, you have to be much more focused. So we said yes to too many things at the peak. And we didn't like take this one thing and that we could do 10 times better than anyone else.

5:33And then the economics macro wise turned worse. We didn't continue the scaling of trajectory that we were on initially. I was just really in Oscar actually with Paul BookHeight, the founder of Gmail. And he said, you need three great features in a product. And it's really that simple and make them really, really great. Do you agree with that product simplicity towards feature depth? Yeah, I think just on a product level, You should say no to as many things as possible and make it more of an app -ball feeling that things you do, you do them as a purpose. And so we have, hey, don't say yes to everything.

6:14Is there anything else which you did or didn't do that really shaped how you think about the early days of lovable? Moving fast and I would say talent is the most important thing in culture, how you work together, how people interact and collaborate quickly. those are the two most important things for almost any company. Let's just unpack talent because it's been a cool, I spoke to Fradric at Crayandum before this and he said we had to chat about this too. So you favor talent over experience which sounds kind of obvious respectfully. You're going to go for like an experienced untalented person.

6:52But how do you think about your hiring lessons around experience versus talent? I think experience can be a negative thing in some cases. You often want people who are super ambitious and they have a lot of proof they are more open -minded towards how you should work together in the team. For many roles, I think junior talent is, first of all, it's super easy to get them into the company. They're not already committed to some, like, many, their projects, the best people that you can hire at the young age. they would go on and become founders and then you can't hire them anymore, right? So that's why junior people are often quite good.

7:31Will you hire them if they haven't done what you're hiring them to do before? The benefits of having someone hire some of the experiences, well I can see they've been at X company for four years, they can do that at my company. Will you hire someone who hasn't done what you're asking them to do before? For most, in most cases, yes. But if he's engineering, you have to know software engineering, of course. And for some roles, you definitely want in that domain, someone with a lot of experience. Like who can coach and who can tell the more junior people what great looks like. These are going to sound strange questions, but you mentioned the word ambition there.

8:09Did you always know that you would be successful when you were younger building? Did you always think I will be successful in something that I do? No, I don't think so. I was always frustrated with how people around me didn't understand things as quickly as me. It felt like, and then at some point I felt like, well, sometimes it's me being too naive. That's something I learned over time. But many of the truths about what's going to happen in the future have, I have a very good track record on. And I think that's one of the superpowers that have made me successful. So I felt that I had That's a superpower.

8:46I didn't know it would translate into building something successfully. How did you first make money? What was your first entrepreneurial thing? I think so. I always knurled out with computers and setting up our land parties when I was a kid and so on. I noticed that all neighbors and friends of families had computers and they had some issue and they wanted my help and many of them wanted to pay me afterwards. So that became a bit of a side hustle when I was a young teenager. Did you do gaming when you were younger? Yeah. You're like, I'm so sorry to be rude, but you're like the easiest archetype because you fit like all the characteristics of like successful founders that I have on the show.

9:30It's like number one made money early, number two exaling gaming, both very, very clear archetypes. I want to move to lovable. So GPT engineers starts as a side project. Where does the idea come from? We've left a page. GPT engineers starts as a side project. Where does the idea come from? So this was the spring after chat GPT came out and I've been playing with the the pre -cursors of that as well. I've been from already a year before then I've been felt there's a massive wave coming from scaling up these models with more data and the peak is not set up for, I was currently not set up for leveraging that.

10:11I was actually traveling with my now wife, engagement to trip, and when you're traveling, I get extra creative. I don't think there was anyone who was talking about AI agents at the time, but I during those sitting on an airplane, I started writing a lot of like, okay, you should hook them up and make, you basically put the large language model in a for loop, and then you can have it to do a lot of agent things. And then when I'm back in Sweden, I'm like, okay, where do I apply this? Obviously on software engineering. And I've been talking to people about this and I felt no one was really sufficiently imaginative to what I was thinking about.

10:50And I had to prove a point in that this is already now. With the current, the first versions of chativity APIs, you can build an agent at writes code. And then I put together that door to I drank a lot of coffee and then I just crammed away and I got the first version that really impressed people. You write a crata snake game and then you get a running snake game on your computer. That was the first version of what we were building now. How long did it take you to build V1 with that caffeinated session? I think it was one main weekend and then a bit of a polish over with a few hours here and there and two weekends after that.

11:26What are the biggest lessons or advice from building many different V1s? for many founders to be listening. For most first -time founders, I would really focus on the user and the user problem and say, how can I get one person to love what I'm building in this view? That's my general advice. I didn't do that. I just put out the video on Twitter and it got dozens of academic references and millions of people using it. He taped me to that. So we have this weekend. We released the product. What happens then, So I wasn't clear to me that I would build a business on this at all. I just thought it was fun that there was an open source project.

12:08So I started nourishing a community that went on to work on this open source project. And while I went to my co -founders, I was like, okay, so this thing is absolutely huge. I've been thinking of doing something else to be honest. And here's a pretty like this is a bit of a wake -up call for me. that it might be time to find a good replacement for me as a CTO at the peak. That's what happened next. And then a few months passed. And so a few months passed, the community continues to grow. What happens then? No, but I figure out a good replacement for me. I decide I need, I want to have a great co -founder that I can have as like my partnering crime here.

12:47And there was a guy who is the most super efficient, just zero fluff and bullshit. engineer and then entrepreneur. So he had sold the company previously that I wanted to work with. And I backed his apartment and said, hey, let's take a walk and plan the future. He got him on board and then he started building and created the first version of what became level -lovable. So we're building the first version of Lovable. You've got your co -founder. Talk to me about that time. When did we release and how did the official release go with Lovable as a product in company? So the launch of a lovable like the product gave us one year after we started building and in the meantime we launch like wait listed preview versions called GPT engineer apps.

13:33I mean that's the getting user feedback cycle and building building up I guess some some excitement about what we were working on and employer branding as well. And the first versions, I think they were very good. That's where they were good. They were not very good. And we had some people really liking it. But a whole moment, they didn't click for sufficiently many people. Like, okay, this is how I get real value from this. When we went on to iterate over the coming year, we packaged together all of these things so that you can ask today lovable, I want to build a basically a SaaS business. And then people have built their entire SaaS companies and get made money or why just prompting our AI.

14:16I just want to break down a couple of different things that you said that you mentioned the wait list. Do you have any big lessons or advice on how to do a wait list strategy well? The wait lists are useful in that you can control exactly how many people you want to get on board and take use or introduce well with. So I think that's the, like, just get sufficiently many people on the wait list, find a good way to qualify who you want to talk to, like you probably have different type of offices on who you should talk to, who you're going to sell into, who has the most value from your product, and then qualify only those and talk to them.

14:51When you do the user interviews and use your feedback sessions, what are your big lessons or piece of advice on how to do them well? What questions are good? What questions are bad? Any lessons? For us, there are two different type of user interviews. We have this type where we just see them use the product and say, do they understand the product and so on. That's more about user experience, in to you. And the other one is to understand if they have just tried the product a bit, we ask them, okay, so you try the product a bit, why are you even interested in this? And ask them what problems they're facing in their business, try to identify what's the biggest pain point they're actually looking to solve.

15:29It might be, oh, I want to get more customers. And I think I can get more customers if I can show to my customers that I can get the first version out with AI more quickly, those other questions. How does it change the structure of teams? When you look at teams today, you have obviously so far engineers, you have designers, you have developers, you have front end, you have back end. How does it change the structure of teams themselves? Harry, if you want to create a personal website for you, it's super productive. You can do it. You don't have a team. It's just you. You just create it with AI.

16:01It's not a team. Like a team just allows you down. Maybe you get some inputs from a designer. Like, how does this work? How do you think it should look? and so on. But once you have existing software with users and then you want to iterate and change that software, AI might absolutely bring down mess up your entire codebase. AI might mess up your codebase. So then you would want to work with a software engineer that knows how to bring, have quality and consistently keep quality in the product. You mentioned like people took a bit time to find a home moment. How important is the time to a home moment?

16:38I think it's very important and it's funny because you asked me this question and I think we are very bad at making the time to a home moment super short. I think we could double our conversion rates if we become better at speed to a home moment. But I can say it's something we're doing. Let me take credit for something. When you come to Lavable, you just see a prompt box. It's very inviting. Instead of getting to a landing page, you see a prompt box and And then for the ones that do enter a prompt box, you get a quite quick, or the first, the harmon. And there has to be many a harmonies in loveable.

17:13They're quite a complex software engineer. It's a very complex feature that we are doing well. And that's what I would recommend. Just give the user something interactive with instant reward. You mentioned that the prompt box itself. I've had many guests on the show say before that almost the biggest sin that ChatGPT did was make chat the default UI for a future of AI. Do you think that chat and the prompting that we have today in lovable and many other products is the right default UI for an age of AI? I think yes, prompting, you can do almost anything with prompting you and explaining your thoughts in written form.

17:52It's also easy to implement anything, but it's going to get more advanced through time with not just prompting. I love the way you took a deep breath there. That's like, this is a wavy question. I'm thinking about it a lot. I mean, you're building the interface for creating software and no one knows what that interface is going to look like. But the prompt thing, yes, I think it remains. I'm kind of going chronologically through the story because it's an amazing story. You rejected YC. Why did you reject YC? We felt that at best YC would be a lot of dilution and some acceleration, but a lot of dilution and some acceleration, and at worst it would be a distraction to go to SF and go through all of these like, fun things that happen when you go to IC.

18:39And we just took some fun things that and build focus on talent. The seed round, when does the seed round come? Does that come post launch or pre launch? So that comes before we launch the first, our first to wait list of our product. How did that seed round go? So before you've launched the weight list of the product. How did that round go? Yeah, so I have this advice that I've always gone by, which is to work with investors that you like. And I had some people that I know from before that I just think are amazing people that I want to have by my side in things called sour, things go well. And I spoke to a few, I kept it very brief and I got like a preemptive offer and I said, yeah, let's do it.

19:25How big was this round? So we took three million and then we added on, I got the advice to just get a lot of cash because you never know what happens in the markets. So we raised quite a large pre -season job, almost eight million dollars. Would you advise founders to raise quite large pre -season rounds if they can? If the money's on the table, do you say take it? Depends on how you want to operate. Like if you like talking to investors, which at the time I was like, no, I just want to build a technology. Then the answer, sure, it takes a big visit, so you can get time to figure things out. If you like talking to investors, which I think you should, I would go with more of race more effectively as smaller rounds.

20:08We're seeing a lot of founders today be immensely dilution sensitive from day one in a way that they haven't been before. Like 10 % is like the max they're willing to give up on around. How did you think about dilution sensitivity? It's a good question. I think here again, I can have a very wise person who's like, no, dilution doesn't matter so much. It's all about the size of the pie. And I was both affected by that advice as well as my like, no, meaning my dilution, this is my life's work. So that's mainly how I think about it now. So we now raise this round. We have to wait this. We're skipping a little bit.

20:44Take me to go live day. When does that happen? And how does go live go? We go live with Lavable 21st of November last year. It was only four months ago. Yes, four months ago. Isn't it nuts how much life changes in four months? It's true, it can change really fast. Yeah, alright. It's a November 2024 launch. From day one, is it just nuts? How does it go? I mean, we had users, ping users on like earlier version, that was called something else. And then our launch, I think it was just one of these like wow launches, we could have gotten like 10 times more press on the launch 100 % but people start noticing like wow this is really good and we continue to quickly improve things in the products, chip things very quickly.

21:31So it ramps like growth starts ramping up after we launch and we were like wow we're growing 1 million ARR per week at some point and that just keeps going so accelerating that was in December and then it just keeps accelerating. We, it was a bit on the technical side it was a bit frustrating because we have some, a lot of scaling issues that we run into and the team is like, okay, we can continue to patch this but they say like we'll let's rewrite everything while we're seeing this explosive growth and there's so many quick fixes that we want to do on the product side. So you re -roaded ASAP and stabilized it then?

22:10Yeah, so it took a bit more than 8 -3 -7 -8 -7 -8. It's not completely done today, but that we took eight weeks and then now we're shipping faster. Akinashi, you mentioned that a millionaire are a week. How much are you growing now a week? A two million a year, a week. Two million a week now. Yeah. It's so funny for me to, because when you live in a world of venture, you don't get this, I don't think, and I didn't mean that really to you, but your companies go from one to four in a year. And that's like four acts in a year, amazing. That would be good. And then you're like growing two million hours in a week.

22:49Does that sink in? Like, do you know how nuts that is? No, I guess not. I mean, a lot of things last few weeks have just blunted me and I'm just focused on all the things that we have to fix and improve, and that's all I think about. What do you think are the most common ways or methods that companies' development process slows down? For founders listening, what should they watch out for that often happens? What makes product development slower is usually that you have a complex product, that you have a lot of requirements. You said earlier, Harry, that you have three things that are good in your product.

23:27I think that's generally a very wise thing to do. Simplicity leads to product direction, knowing where you're going and what you're working on. When you look back since the start of Loveable, where from a product perspective did you invest in spend time where with the benefit of hindsight you shouldn't have done? At Loveable we thought a lot about the community and like community features inside of the product. I think that could have made a lot of sense if we had seen slower growth but now that the growth is not something we're not concerned, you don't need community features to power growth.

24:02So that's I think that was pretty much twist. Where's the leverage? Do you agree with the centrum build it and they will come? The growth has been amazing. From day one, it feels like it's since GPT engineer even. People have just kind of come for the product because it's been amazing and different. Do you believe build it and they will come actually does stand true today? If you have a very strong vision of how that where there is untaffed potential, If you really know that deep down and you have track record of showing that, then build it and they will come, it's going to work. And you also have the runway, your personal energy runway and so on to really make it work and they make them come.

24:44But in most cases, that is too risky. It's too risky to just build it and they will come and it's... You can build it and make them come or try to make them come at the same time. And that's much lower risk. You said there about energy and it reminded me of a statement that Nick Ravallu said to me in a show when he was talking about his Investing and he said the most successful founders that he invests in are between 30 and 35 They don't have the naivety of the incredibly young founders But they don't have the bluntly tiredness in some ways or that you know you have more energy when you're younger of older founders.

25:22How do you think about that given your age today? I think energy is super important and I think the NaviTis is a benefit of man. But I made mistake, a lot of mistakes. It was the first time manager as well at the picked pretty much. What was the biggest mistake you made? Thinking that we should change the culture and become more of a skill up, something slow moving or like more management layers when we became 40 people. That was the biggest mistake I did. Why did you think that? I mean, my co -founder and other senior people we spoke to said, like, oh, now you have to hire executives and so on.

26:02And that was a bad idea. I think you got it. And so did you start hiring executives? Pretty much, yeah. And then they don't work? One person now hired didn't work out, which slowed me down and then kind of set us back a lot. And so when you think about that, What would your advice be to other founders? Don't believe the bullshit you can scale way longer without execs? Many founders hire mercenary style, maybe like skilled people, but they are running in their lane. I hire generalists, and I try to empower them as much as possible. If you have a lot of general super, super smart, generalists that you're doing a lot of smart, like new initiatives and so on, adding executives all on top of them is high -risk and like reward is questionable.

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26:50Does culture break at any point when you're scaling user -based so fast, you're scaling revenue so fast? I mean usually I think it does. Yes or it changes, it changes, it evolves. This is something I'm very mindful about and why I'm so scared of adding too many heads. What are you worried about? The most important thing for everyone in the company, which I talk about is to role model how much you care about the product, the users, the team, how well the team works. Then role model and make sure other people care as much as you. That comes from a feeling of ownership of the culture and the team.

27:29If you're a lot of people, that gets diluted typically, so that's what breaks or that's what's harder. We have the team scaling. We have user base. We have revenue scaling. with making actually a lot of money at this point. Why raise a series A? I just had some scheduled check -ins with investors. There was this one guy and his team that had like obsessed about Lavable for the last few months. If he had the, you know, his here's Stockholm at Kriandum. He just gives amazing impressions on me. And I'm like, okay, I could, I can wait because I know it's very clear to me that this is just the beginning, and I can could raise it later.

28:10But we can accelerate by adding an investor that is a partner, helping to find more amazing people in, that's the sounding board, free of the help to grow Spotify from nothing. And we decided to raise a small round. Okay, so you decided to raise a small round. I have to ask this. You have many well -funded competitors in the US. I think it was Neil Murray that said you put, like, with Devon that actually works from very early on, which I thought was bold. When a competitor has a lot of money, do you have to raise two? I don't think so, no. I mean, you can just, we could bootstrap. You can bootstrap the most things, so you never have to raise.

28:53But they can outspend you on talent, on customers, on marketing. I'm not afraid of any of those. The only thing that matters is execution. So if you can outperform your execution, then I'm scared. Where could you improve your execution today? We spoke about speed of shipping, amazing cultures, great. Where would you say execution wise you could improve? I think you can always improve on how the decision loop on how fast you take care of decisions and communicate those decisions so that everyone is really on the same page. How do you make them today? How could it be improved? I think it's about doing fewer.

29:31I think we could do fewer things as well, at Loveable. Like there's a lot of people with great ideas that each idea is nice, this lesson is great, but you can only have so many, you should only execute on so many at the same time. We mentioned the team in the culture, one, and we mentioned Frederick there. You've been pretty ardent around building in Europe, keeping the team in Europe, being a European company. A lot of people say to me, by staying in Europe, you are deliberately not doing what is best for your career. If you were in the valley, you would be most successful. What is your response to them?

30:05The most important thing is talent and culture and there is more raw available talent in Europe. The culture isn't on the like... The US has more culture that fits the succeeding as a startup. I have to say, per default. What most specifically do you think it is about that culture? So it's about the fault of thinking big and being super ambitious and being very committed to making things work. That in Europe people are more like living a balanced life and thought that we should... In Sweden we talk about the law of Jante which is that you should be better than others. Oh my god. Okay, yes, so this concerns me.

30:49So how do you respond to people who say you would be more successful if you're in the valley? If you're a founder, you have more free entropy of talent to use and channel into something successful. But there are of course many benefits from being in the valley. I think it's a bit of playing on the hard mode here from Europe. And I get excited about playing on hard mode and showing that you can create a category defining company which is lovable in our case from Europe. Are you positive about Europe moving forward? We are in a doom loop around Europe, which we both disagree with and hate. Are you positive in what guides you're thinking?

31:28Yeah, I'm super positive. I think there is a strong underdog mentality among all of us founders now, which is usually a winning concept to be in, to feel like the underdog and having wanting to prove others wrong. I totally agree with you. I also think there's incredible superpowers in using the arbitrage pricing of incredible engineers in Europe and selling into the US. Yes. You can build huge companies selling into the US from Europe. Doesn't mean you can't sell into the US just because you're a European company. True. No, there's a very global market. I've got some questions which are a little bit spicier.

32:04A spicier one is, if one were to criticize Lovable, they would say, amazing. God, look at the revenue growth. Look at the user growth. But is this like AI sugar revenue? In other words, it's not sustainable and it will turn very quickly. How do you respond to, it's not really real sustainable revenue and it's not sticky? We have month one retention that's better than chat GPs, month one retention on the paying customers. So it's about 85%. That is just going up. Like, of course, there is a lot of things to be desired when you were working with an AI system. There's a fraction of people, some people come in and they just like flip up their credit card because they want to try, they want to learn, which is rational thing to do.

32:50And then they know that they are going to stop using it almost. They almost know. So we have a fraction of users who are like those people. 85 % month one. Wow. That's great, because you're also too early to have month six. What could you do today to increase retention most significantly? The easiest thing we can do is to give more of the important heart moments to ensure that all of our users get more of the important aha moments on how to use the product. I don't really respectfully agree or get you because you give prompts under the prompt box. So you say like, build me a sass app or build me a dog website or whatever the prompt is.

33:34Dude, all you need to do is click it and you see the code being written and then you see it being created. The aha moment is pretty obvious, no? So there are many aha moments for, or like education moments to get the most value, get the full value out of using it. The most important of those are with regards to when you feel like you're getting stuck and the AI doesn't understand you. And there are many things in how to get a room around that that you can pick up as a user. It is about how you prompt, it's about how to understand what doesn't work and explain, or explain clearly what the what the problems you're seeing, what you find could be the problem when you're building a more complex feature.

34:19And it's about that you can actually onboard an engineer to do small changes to the code base. Like those are things our users should know and not everyone knows them. What's your North Star match trick today? If you have one match trick on the TV for the whole team to focus on, what is it? It's the number of users that go all the way to getting users on what they build, getting something hosted with users on what they build. That's what we focus on. What's the amount today? So we have almost 40 ,000 paying users and then that's the proxy for that. 40 ,000 paying users, shit. Do you care about the time it takes to go from start to website created or not?

35:02We care, but I have to say Harry, this thing is about the onboarding and how much we can improve. It's not something that we have had to focus on. We were just making the core AI parts better, better, better. That's what we focus on. You say about making the core AI parts better, better. People also say, wrappers on top of other people's models. Why are they wrong with that assumption? I mean, it's very easy to create a cool demo with just a wrapper. It's super easy to make a cool demo with just a wrapper. The hard part is to get close to 100%, you get what you're asking for. And there's a lot of small details in making that work.

35:42There's a lot of small details. And there's a chain of large language model API calls and other algorithms that run. And that chain is like, you can continue to optimize that for years without reaching perfection. Who's models do you sit on top of today? We use all of OpenAI's models, Google Gemini, and the main workhorse is Anthropics Cloud model for writing the code. I was going to have this in a quick file, but I have to ask it now. You've got Anthropic at 60 billion. You've got OpenAI at 300, or you've got GROC at 50. Which do you buy in which do you sell? Okay, so I would like I care about the best talent here and I feel like Elon is very good at talent So I would buy a I would buy a rock I think there are also very ruthless in like finding business opportunities We'll see about about that But I feel like they could be good at that even though anthropic is my favorite I love the culture and I love the like the leadership there And I will short short open AI because they're having very good in this crappy face but they haven't proven that they can be have a clear product direction and focus now over the last year.

36:52So I would push, it's a Sunday, we're allowed to be a little bit more casual. I would push back on you and go, the two biggest things that matter in this next wave is brand, recognition on the consumer side, and it's consumer facing front -end products. And when you look at brand, everyone's mother knows chat GPT. They don't even know OpenAI, but they know chat GPT. And then on the consumer product side, respectfully that way ahead of anyone else. Why am I wrong? I just think we're still early in the days of AI. And if you look at the enterprise revenue, Anthropic is almost caught up to OpenAI from nothing, from being absolutely dominated.

37:30I don't know what Glock is going to do here, but I expect them to be having... OpenAI lost all their best talent to Anthropic. And I think Glock might be able to pull something off here. I spoke to a very wise friend of mine before this and they said the biggest concern that I have is that open source or Mega corpse of the world with massive distribution of answers come in and win the market. How do you think about that? And is that a concern? The big mega corpse they move very slowly in many domains. So they're never going to In many years, they're not going to have the best product on the market There are distribution advantages for some of these mega -corpbs, and that's the marketing and distribution is what I'm more concerned about.

38:14But overall, it's going to be a growing market where you can easily start up both best position for some parts of the market. One thing that's going to be a real shift, I imagine, that you have to face, is a shift from PLG and kind of prosumar to enterprise. How do you think about that shift? and is that just not a concern given the speed of revenue ramp? How do you think about that? If we would do enterprise, I would want to do that really well. So we're holding off with doing enterprise for now. We're holding off. Our goal, you may ask about the North Star metric, what we want to have is we want to be the best place for builders to create products and get a million of the most talented builders is not lovable.

39:00And if we succeed in that, that's a great segue into many other areas including enterprise. When you look at Shopify, what do you learn from them blazing a trial in the way they have done as efficiently as they have? I'd love to hear from you Harry. What are you most impressed by? With Shopify? Honestly, I would say it's a narrative around everyone being an entrepreneur. I think Harley's a phenomenal communicator and storyteller Bring very real businesses to life and how Shopify has changed their processes their sales Really made an impact and I love Toby and I think he's obviously brilliant technologist But I think without Harley's storytelling narrative entrepreneurial vibes to life it would be a different company So I would learn from that a lot in terms of how to tell your customers stories.

39:51I think Shopify has been able to execute on many things and they just created a good package. They've iterated fast, that's my impression. They've iterated fast. I'm sorry, all the needs for building your e -commerce and I think this velocity was the most important thing for building the best product. When we look forward, dude, what would you most like to build in the product, but for whatever reason you cannot? What would that reason be? I think I can build anything in the product. product. Really? Like, team block you prioritization, not the right time. Okay, so you something that we have to say no to right now.

40:29Yeah. Yeah. So I'd love to build in the way for founders to get everything you get out of the white combinator into lava balls. So that includes like some marketing infrastructure, white combinator has that all the entire playbook and going above that. and even saying, oh, here is your incorporated the Delaware C -Comp company, your Stripe set up, you just have to focus on the product and talking to users and creating content for marketing. When you look at partnerships today, APIs that we have saying to the different providers, that's quite a real impossible product. It's on the roadmap. Good, okay.

41:08Well, YC are going to love you after this show. A final one, when we look forward, what concerns you most if you had to choose? Was it the regulatory challenges, competition or hype cycles? I think if someone, some competitors are super, super good at marketing, that would concern me. How important is brand? Brand is mainly the outcome of your product. There's other factors too. Product is an important thing and then good product plus I wear and that just creates brands. That's I think what's sufficient. So it's more of a downstream effect or something else. When you're doing two million a week in an additional error, you're going to have more and more investors want to give you money.

41:47How do you think about that? And what makes it worth it to take versus this is a distraction that got out of my face? Currently it's a distraction. I think we'll make it worth it when we know how exactly how we want to spend the money. Or it's a partner we really want to work with and terms where we would never regret saying yes to them. What if done would be a massive needle mover for the company? One or two more of the perfect technical product hires. Dude, I could talk to you all day. I want to move into a quick fire round. So I say a short statement, you give me your thoughts. What do you believe that most around you disbelieve?

42:25We have models today that are really smart. I think that's where people don't agree with me. They're smarter than humans, but they don't have memory in the same extent that we do. They don't have context. How fast will we ramp context in memory given scaling today? What you need ramp is to decide the process for storing memory. I think it's what you have to ramp and it has to store all of these things. My conversation with Harry has to be stored somehow in today's system. My childhood almost has to be stored as well. I don't know, it's going to take years. You can buy and hold one public stock for the next 10 years.

43:03Which one do you buy and hold? Some talent play, what comes to mind is Tesla. They're also interestingly positioned outside of software. What's the most important trait in a founder that no one talks about? I think great judgements, people probably talk about, but I like people who hire, like, see potential in people and it's like, okay, this person can become amazing and the judgment in picking talent like that. What's your biggest weakness to see here today? I'm not as good as multitasking as I would like to be. If love will fail tomorrow, what would be the reason? Like investors write a pre -mortem, which is like a reason why something doesn't work.

43:40What is that? Then while I can think of it, we lose momentum and excitement, and that's what fuels us today, right? All the excitement and the momentum. What if you change your mind on in the last 12 months? You don't need to be attached to one foundation model provider, they're all going to be amazing. There's not going to be one winner here. Are we seeing foundation models be completely commoditized? Yes. We won't see specializations like we do today. I know Claude is better for code and engineering. Do you think that will really equalize? Yeah. I love the Swedes. Fucking one word answers. What's your favorite failure?

44:19I know that sounds weird. So when I was 17, I failed my exam to school Anton. I failed them. You did? Yeah, like D's across the board. I looked at myself and I was like, I'm either going to work behind a bar or I can make something of my life. And I chose to work harder than ever and make something of my life. That's my favourite failure. I love that. My favourite failure that I didn't depict didn't work out so I could do more things. What concerns you most in the world today? I love that all leadership to be true idealists and not functional circumstances and people to place and the much more open -minded to people who disagree with them.

45:01And super intelligent as well. But leadership in the world today are usually a bit corrupted and narrow -minded. And that's what concerns me. Do you think they would say you're naive? Yes. They want to be naive, so yes. So the challenges of leadership, the challenges of having a voter population, you sometimes have to be certain ways. I think we used to have better press dance and leaderships throughout the last century. So no, I don't think I'm too naive, but I'm definitely always a bit naive. I totally agree with you. I think the state of leadership state is wouful. Penaltimate one, what's your biggest short in the public markets?

45:38It would be like a SaaS company that has a per -seed pricing where the ICP is going to be replaced by AI SaaS that just replaces employees. What's the future of pricing in an AI world? I think it depends on how defensible your business is if you are selling to like enterprises that never change SaaS software, you should try to make some value -based pricing. I don't know how you get to the value -based pricing, but I would do something like that. Otherwise, I think you shouldn't innovate so much of too much on pricing. Do what every work today. I love the facial expressions. Final one, I like optimism and I think we need more of it in the world.

46:17I'm incredibly excited for the next decade because I think we'll find Kierz to my mother's got multiple cirrhosis, which is a horrible disease. I think we'll find Kierz to disease is that we really didn't think possible before. What excites you most about the next decade that we have coming? That AI is hopefully going to make us humans understand each other better and be a better at doing win -win thing, win -win -win -win. And that will be awesome. I'm excited about that. So like our leadership actually being enhanced by super intelligent AI. Anton, this is indeed, I've so enjoyed doing this.

46:51Thank you so much for joining me and thank you for inspiring a generation of European entrepreneurs that they can build unbelievable businesses in Europe. Thank you, Harry. You're also pretty fun. Two million in ARR added every week. Is he kidding me? He's making every other investment look terrible right now. Listen, I love doing that show. It was so much fun. Oh my god what a rocket ship lovable is if you haven't tried it yet Try it. It is incredible if you want to watch the show you can find it on YouTube by searching for 20 BC That's two zero VC on YouTube But before we leave you today here are two fun facts about on newest brand sponsor Kajabi first their customers just crossed a collective eight billion dollars in total revenue Wow Now, second, Kajabi's users keep 100 % of their earnings, with the average Kajabi creator bringing in over $30 ,000 per year.

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From the publisher

Anton Osika is the Co-Founder and CEO @ Lovable, the fastest growing startup in Europe. With Lovable, you can turn your idea into an app in seconds with just a prompt. After just 3 months, the company has scaled to $17.5M in ARR. They are adding $2M in net new revenue every single week. Even better, Lovable has 85% Day 30 retention rate, making it more retentive than ChatGPT. 

In Today’s Episode We Discuss:

03:41 How a Side Project Turned into a $200M Company 

05:39 Why Talent is 10x More Valuable Than Experience

08:57 How to Use a Waitlist Pre-Launch to 10x Growth

12:29 How to Master a Public Launch: $0 - $1M ARR in a Week

18:02 Why Raise a Large Seed Round

22:22 How Sustainable is Lovable and AI Revenue

25:22 What are Lovable’s Biggest Threats: Incumbents or Open Source

27:00 Raising Series A: Should You Always Take the Money

27:46 How to Compete in the US from Europe 

28:25 Is Europe as F****** as the World Thinks

29:02 Building in Europe vs. Silicon Valley

31:20 The Future of Foundation Models: Who Wins

33:47 Grok vs OpenAI vs Anthropic: Buy and Short

41:37 Quickfire Round: Insights and Reflections

 

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20VC: Lovable on Hitting $17.5M in ARR in 3 MonthsThe Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch · 51 min
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