Building Lovable With Anton Osika: The Power Of Simplicity, AI As A Technical Co-Founder, And Why 'Vibe Coding' Needs A New Name

10 Mar 2026 · 30 min · 14 chapters

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In short

Podcast Notes: Building One with Tomer Cohen Episode Title: Building Lovable With Anton Osika: The Power Of Simplicity, AI As A Technical Co-Founder, And Why 'Vibe Coding' Needs A New Name Host: Tomer Cohen, Chief Product Officer at LinkedIn Guest: Anton Osika, Co-founder and CEO of Lovable

Episode Overview In this episode, Tomer Cohen interviews Anton Osika, exploring the innovative tools Lovable creates that significantly reduce the barriers to software development. The discussion dives deep into how AI is reshaping the landscape of product creation, making it more accessible to a broader audience beyond traditional coders.

Key Themes and Discussions

  1. The Shift in Software Development
  2. Empowerment of Non-Coders:
  3. Emphasis on enabling the 99% of the population who cannot code to build software.
  4. Lovable's goal is to provide tools that allow anyone to transform ideas into functional applications quickly and easily.
  • AI as a Co-Founder:
  • Lovable serves as a “technical co-founder” for many, allowing entrepreneurs and teams to build products without relying on traditional engineering resources.
  1. Philosophy Behind Lovable
  2. Simplicity vs. Complexity:
  3. Anton emphasizes that simplicity is often the hardest design decision to defend. Lovable is designed to be user-friendly, reducing complexity for the end-user.
  4. Lovable aims to be opinionated in its design choices, similar to Apple's approach, ensuring that users focus on outcomes rather than the intricacies of the software.
  1. The Evolution of Product Development
  2. From Prototype to Production:
  3. Discussion on the trade-offs associated with AI-driven product development, especially the gap between prototypes and fully functional products.
  4. The need to provide high-quality, reliable software while maintaining ease of use for non-technical users.
  1. Trust and Brand Love as Business Moats
  2. Underrated Moat:
  3. Anton identifies trust and brand love as critical factors in maintaining a competitive edge in the AI space.
  4. The goal is to create a product that not only meets user needs but also builds a loyal customer base.
  1. The Future of Entrepreneurship
  2. New Opportunities for Founders:
  3. AI tools like Lovable are opening doors for new entrepreneurs who previously lacked the technical skills to launch their ideas.
  4. Examples of users successfully launching businesses with Lovable, including an AI healthcare staffing platform achieving significant revenue.
  1. Misconceptions About AI and Vibe Coding
  2. Vibe Coding:
  3. Anton critiques the term “vibe coding,” suggesting it trivializes the serious work of software development and implies a lack of quality.
  4. There’s a belief that AI will take jobs, but Anton argues that it creates new opportunities for creators.

Key Takeaways

  • More Builders, More Innovation:
  • The episode underscores a pivotal moment in tech where the tools for building are becoming more accessible, leading to an increase in the number of innovators and entrepreneurs.
  • Iterative Learning:
  • Users must continue to engage with AI tools like Lovable, iterating over time to fully leverage their potential.
  • Building an Ecosystem:
  • The future will see a broader ecosystem around AI-enabled building, with opportunities extending beyond product creation to include operations, marketing, and customer trust.
  • Cultural Ambition:
  • Anton's vision for Lovable includes a long-term impact, aiming for users to still be using the platform decades from now.

Conclusion The conversation between Tomer Cohen and Anton Osika reveals a transformative shift in the software development landscape, powered by AI and a commitment to simplicity. Lovable embodies a future where anyone can become a builder, ultimately expanding the entrepreneurial landscape and fostering innovation across various sectors.

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Produced by: Coastal Production Works Mixed by: Tim Boland LinkedIn Team: Rachel Karp, Sarah Storm, Dave Pond, Alicia Mann, Alex Kuznetsova, Mujib Merdad

Until next time, keep building!

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Anton Osika's Journey from Researcher to CEO

2:13 to 2:59

Explore Anton's transition from research to building startups and leading Lovable.

“This is our third Swedish-originated company on the podcast.”

Defining Lovable: The Technical Co-Founder

3:00 to 6:16

Understanding how Lovable empowers non-technical users to build software.

“Before we go to Lovable, I wanted to start with you.”

Transforming Industries with Lovable's Simplicity

6:17 to 10:04

Discover how Lovable is used across various industries and by diverse users.

“I mean it's used across all types of companies.”

Principles of Product Development and User Experience

10:05 to 12:26

Learn the key principles that shape Lovable's product development and user experience.

“Is that the audience you're thinking about like top of mind was that from the beginning the hypothesis around like how do I help designer product managers but then people who are completely non-technical to go and build?”

The Balance of Simplicity and Functionality in Lovable

12:27 to 14:02

Understand how Lovable manages complexity while enhancing user capabilities.

“But there are a set of choices that work really well together, which in turn makes Lovable more reliable than any other way to build web applications.”

Balancing Complexity and Simplicity in Product Design

14:02 to 15:00

Learn how Lovable aims to simplify user experience while adding capabilities.

“There's a lot of Vibe coding tools out there today.”

Power Users vs. Simplification

15:00 to 16:05

Explore challenges in meeting the needs of power users while simplifying products.

“We've taken some features that were for more power users and put them...”

Understanding Vibe Coding and Its Implications

16:05 to 17:33

Discuss the concept of vibe coding and common misconceptions surrounding it.

“And then the marketing leader finds Lovable and they take a few weeks with two more people, I think, and they build everything on Lovable.”

Building Quality Software with Lovable

17:33 to 19:13

Learn about the importance of testing and mindset in creating lovable products.

“and you see a few kind of breaking through and building a real business.”

Evolving the Target Audience for Lovable

19:13 to 20:34

Explore how Lovable's user base has evolved from individual users to teams and enterprises.

“Was there like an enterprise wake-up call for you or was that there from the beginning?”
Show all 14 chapters

Identifying Moats and Building Trust

20:34 to 22:24

Understand what constitutes a moat in business and the importance of trust.

“How I see it is that you have this system and the agent that you're talking to that gets work done for you, pulls in context from Slack and other tools into Lovable.”

Advice for Aspiring Entrepreneurs

22:24 to 23:40

Get insights into building a startup and the importance of community and feedback.

“And that's how you build a strong brand.”

The Intersection of AI and Physical Products

23:40 to 26:08

Explore innovative examples of AI integration in physical products and services.

“And this company was built on Laval, made hundreds of thousands of ARR after only a few months.”

The Importance of Iteration in AI Products

28:00 to 29:07

Learn why persistence and iteration are crucial for success with AI tools.

“Anton pointed out that people sometimes give up too quickly when it comes to AI products.”
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Transcript

Automatic transcript. May contain errors.

0:00Anton Osika:I'm an engineer, of course, so there's a lot that is currently used by everyone, but the focus is that it has to be so simple that anyone can use it.

0:09Tomer Cohen:Do you see Coders also using Lovable in the future?

0:13Anton Osika:I think you should see it as an Apple device. For Lovable, it just works. It starts very simple, which makes sure you can focus on what's most important, people who are engineers. The level makes their work so much faster. Creating new products, creating new websites, trying out different tools.

0:35Tomer Cohen:There's a moment every software builder remembers. It's the first time we made a computer do something. Now, for many of us, that moment was the hello world moment. We wrote one line of code and suddenly the computer talked back. It was a very short moment, but it flipped a switch in our brain. Now we felt we could build. And that first moment is getting dramatically upgraded right now. With one line of text, you can ship a working product, a game, a website, even a full e-commerce service. And here's the real shift. Today, less than 1 % of the world can code. So the next wave is about empowering the other 99 % to build as well.

1:19Tomer Cohen:One of the most prominent companies pushing this future forward is Lavable. And today I'm joined by Anton Osika, the co-founder and CEO of Lavable. Now, people call this vibe coding, but Anton's framing is much more direct. This isn't about vibes. It's about leverage. It's about speed. It's about who gets to build. In this conversation, we get into the principles behind Lavable's product choices and why simplicity is the hardest decision to defend, what the next magic moment could look like as building becomes more accessible to more people. The real trade-offs behind AI-driven software creation, especially the chasm from prototype to production, and why Anton believes the most underrated mode in AI is trust, manifested as brand love.

2:05Tomer Cohen:So let's get into it.

2:12Tomer Cohen:Anton, it's great to have you on the show again. And thank you so much for joining me. I always love our conversations. Fun tidbit, by the way. This is our third Swedish-originated company on the podcast. The other ones were IKEA and Spotify. I don't have a bias for Sweden, but apparently maybe there's a subconscious bias. But those are household names. I'm sure Lovable will be one day a household name. So it's pretty cool. It's cool to have you here.

2:37Anton Osika:Thanks for having me. We are all thinking about how do we make our product as good as possible and create a team that can facilitate creating that product. And then what I think that's, by having that focus, we expect people to be talking about Lovable, our grandchildren to be using Lovable in 40 years into the future.

2:58Tomer Cohen:I love the idea of grandkids. Before we go to Lovable, I wanted to start with you. So your kind of personal journey. You actually started as a researcher. You learned math and physics before you became a builder. and as a builder you focused really in startups. You were a founding engineer in a startup, then you became a CTO and a co-founder. With Lavable you're the CEO and co-founder. What was the journey there, this move from research into building and specifically going into startups in an area like Sweden and Stockholm?

3:29Anton Osika:Yeah, I heard that you were also building computers when you were a kid. I was. And I was the same. I had a bit of that hacker, take things apart, approach to everything. And doing physics is a bit similar. You learn this way of thinking where you break everything down into the fundamental pieces of how things work. And then you have a set of hypotheses, or you create hypotheses to be able to explain observations. And you test those hypotheses in the real world, and you're very open to being wrong all the time. I was at CERN doing particle physics with a particle accelerator there. And one of the realizations for me was that I can have more impact working out in the real world, taking ideas to change real people's lives.

4:19Anton Osika:So I'm very happy about that insight. And the other one that's big as an experience is that I've always been around people who are creative. Like my mom has a lot of great ideas, designers, people in products specifically, who can clearly see problems in the real world and want to make those ideas into reality. They haven't been able to do so because of how difficult it is technically. And I always felt like this feels artificial, it should be easier. And that frustration and wanting to solve that problem for all these people is also a big part of how I got to starting Lovable with the deliberate idea from the get-go to build a product that just works for people who don't know, they don't have a background in coding or building software, which is a very, very rare skill set to be able to do that end-to-end and build full products.

5:17Tomer Cohen:How would you define what Lovable is for people?

5:20Anton Osika:So Lovable lets you take any idea and make that into reality as working software. And it's used by a lot of different type of people. We have a lot of people in product that are now not held back by engineering backlogs. They can just build out full prototypes or even ship in some cases straight to production and be able to move things around. We're also seeing a lot of founders that are building for the first time and they can have Lovable literally as their technical co-founder that does product building and in some cases a lot more things. And we're seeing people in operations, finance, marketing, be able to not be held back by engineering backlogs, but just align what to build faster, validate and ship all the way to the production.

6:08Tomer Cohen:Love it. So instead of companies, you're seeing all those functions use it really well in founders as well. in the industries that you see it gravitate towards people are using it in certain industries?

6:17Anton Osika:I mean it's used across all types of companies. It's Fortune 100 companies, it's just some tiny small companies, mom and pop shop that are creating their websites with Lovable and adding an AI chatbot to the website to be able to answer questions. And I always, every single week, I'm stunned by the problems that people have been solving using our tool.

6:39Tomer Cohen:I'm curious for you when you think about your time as a researcher, your time as an early founding engineer and then multiple kind of founding experiences, what principles you got from that that really made lovable what it is today?

6:56Anton Osika:I think about my role is to create an environment where people who have good judgment and like to think end to end of solving problems can just go out and execute. So that's what I learned from all the startups that I've been a part of building. And then the other thing is about testing ideas very quickly while still being understanding that you should, there's a few core things that you should really, really focus on to get to not just do them 80-20 and then leave it a bit tough. But keep focusing until you really make things really good. and there's an expression in product development that is like building an MVP is not enough.

7:43Anton Osika:You have to build a minimum lovable version of that product to actually really get something that you should be launching to customers for real.

7:53Tomer Cohen:Love it. I think about the early days of, it used to be about, you know, the first hello world kind of thing when you write your first program and the computer responds with hello world and now you can write in a sentence but you want to build and Lovable would create it for you and you have this like, oh my god, that was unbelievable. Where do you see that in three, five years?

8:13Anton Osika:I'm learning what are many different wow moments of using Lovable from our users. I was at the dinner yesterday and people had been building AI applications with their kids and that was like wow moment for both the kids and the parents. I heard about a founder that built that likes their pets and they have been starting to AI generate and deliver physical frames of their dogs to people around the world and we picked up this fact that they were making$100 ,000 per month on this apparently it's$300 ,000 per month so they're all of these founder stories where I'm getting aha moments hearing from from the customers

8:55Tomer Cohen:Maybe to your point, it's not just about like, oh, this thing can build. It's like, I can create a business.

9:01Anton Osika:There's a new economy where there's thousands, tens of thousands of founders that wouldn't be able to start a business before. And now they are using Lovable as their technical co-founder and succeeding as being an entrepreneur. Some of them make it to be financially independent on that. The side hustles, regardless, are helping them learn how to solve problems, the build software, but all the problems that you need to solve to make a business successful.

9:28Tomer Cohen:I love that framing. In many ways, people think of this as like an app development capability, but really it's an economic tool. I mean, it's evolving everyone's role at work now, where anyone can actually be someone that builds high quality software if they put their mind to it.

9:46Anton Osika:And then what that results in is that if you think end to end and you think in terms of how does this fit into everything else, then you can just absolutely shape the trajectory of the company you're working at. I'm hearing people getting promoted because they were able to re-architect their entire marketing website and be able to have their organization move on cycle lands that used to be weeks to just hours.

10:11Tomer Cohen:I've heard you talk about when like you know today less than 1 % of the world's population can code and it's really about enabling the rest 99 % to be able to have to tap into software tools but really it's economic tools that can help them build their business. Is that the audience you're thinking about like top of mind was that from the beginning the hypothesis around like how do I help designer product managers but then people who are completely non-technical to go and build?

10:37Anton Osika:Yeah, that was the idea. So there's 30 million developers globally, and there's even fewer that can kind of take an idea and build it end to end, the full products. We from the get-go decided we're going to build something that has to be so simple that anyone can understand it and that it just works. And that has been a big advantage for Lovable and our users, that it seems extremely simple. We simplify something that's very complex and then if you are a technical developer you can dig into the code and change the code if you want to. Do you see coders also using Lovable

11:13Tomer Cohen:in the future or this is not meant for them? Like you're building directly for the non-technical ones. They don't want to see files, although there is a way to see files.

11:21Anton Osika:I think you should see it as an Apple device where for Lovable it just works. It starts very simple which makes sure you can focus on what's most important, people who are engineers, the level makes their work so much faster in creating new products and creating new websites, trying out different tools.

11:45Tomer Cohen:They gave Apple as an example, and Apple makes, they're very opinionated about how the product should work. You know, versus for example, Android will give you all the options or many of the options and then they kind of push the complexity to the user to decide whether there's more So you can decide where you want your product to be. You can be, I'm going to make it super simple, but I'm very opinionated on the back end. So I'm going to make decisions for you, or I'm going to give you the freedom to choose how you want to use the tool, but then it might be slightly more complex to use it. And then I think Lovable is a little bit more if there's like a middle, more towards the opinionated.

12:21Tomer Cohen:But obviously that made the product very, very simple. But it's going to work really well for non-technical folks. But if you are very technical, maybe more complex versus other tools.

12:29Anton Osika:Yeah. In fact, the reason we've been successful as well is that we have previous CTOs that are thinking a lot about what is the right technology to use for building applications, for Lovable to build applications for a customer. And somehow, sometimes it depends. But there are a set of choices that work really well together, which in turn makes Lovable more reliable than any other way to build web applications. They ensure that the application can scale and we have encoded how do we ensure that there are security checks, security is built in from the start in a way where if you just go to a chat GPT or just talking to an AI, it will take decisions that oftentimes doesn't give the same coherent experience in the end.

13:16Anton Osika:Because the pieces that it evolves to with some technology architecture that hasn't been and as swapped out from the start as if you're using Navable.

13:26Tomer Cohen:Any example that comes to mind to you when there was like a, you know, there was a discussion around the team around should we expose this to the user or not?

13:35Anton Osika:Yes, definitely. One thing is like, should you be able to choose if you want a fast response or a slow response? Should you be able to choose between different AI models and the different capabilities like that? And we fundamentally think that it's on our side to choose what's best for users at large. Because when we simplify it that much, we can run much more experiments where we are switching out the AI, and we're making the instructive to be faster or slower, and we see what users prefer. And we're also making it more adaptive.

14:10Tomer Cohen:There's a lot of Vibe coding tools out there today. and everybody chooses a path of where they want to excel. And it sounds like for Lovable, it's like, no, no, I am trying to make the simplest product possible for the end user.

14:25Anton Osika:Yeah, it's an interesting graph to work on where we are fundamentally adding a lot more capabilities all the time. Like adding ways for the agent to be sending emails, payments, creating agents with Lovable. And we have to make sure that at every step, the amount of complexity for the user preferably remains the same or even reduces. And it's a very interesting balance.

14:51Tomer Cohen:Any kind of one decision you made once that really upset power users to a point and you had to rethink again?

15:00Anton Osika:We've taken some features that were for more power users and put them... Before we had more of a formalized launch process, we decided, No, let's take this video and put it under the research, the labs toggles where you have to toggle it manually. I don't think we've had to make such a hard decision. We are careful to make sure our power users can kind of keep the functionality that we're simplifying if they really want to. And that's also an interesting trade off.

15:32Tomer Cohen:I'm curious if we kind of zoom out to the whole category of kind of vibe coding. Do you like that word, by the way, vibe coding? Does it resonate with you or do you think that's...

15:41Anton Osika:I think vibe coding is polarizing in the sense that it sounds like it's very casual. Yeah. It doesn't create high quality. We're seeing companies like Xperiality has 80 ,000 real estate agents globally. And there are dozens of countries. The marketing leader there, VP Marketing.

Read the full transcript

16:01Tomer Cohen:Built on Lovable.

16:02Anton Osika:They were planning to replatform all of these websites. It's hundreds of websites. It would take a year. And then the marketing leader finds Lovable and they take a few weeks with two more people, I think, and they build everything on Lovable. And they could save so much time and it looks much better, actually. But they had a chat about integration on previously. They cost them$1 million per year. And now with Lovable, they're just paying the underlying price, which is, I think, 1 % of all of that. So this is real enterprises that are delivering things to their end customers. And the fundamental shift is that anyone cannot create high quality software.

16:42I'm curious, what do you think people misunderstand about Vibe Coding today?

16:48Tomer Cohen:What do they get wrong about it?

16:50Anton Osika:One thing that stands out to me is how people think people are losing their jobs. And fundamentally to me, I think there are, it's not like one size to a pie and things are being changed in distribution. New pies are being created and we are going to change our way of working. We're seeing founders that were not able to build companies before. Alan built AI healthcare staffing platform. and in five months he reached$1 million in revenue on that platform and he would not have been able to hire developers in the past.

17:29Tomer Cohen:Where do people hit the wall in your experience? Because I'm sure you have at this point a lot of users who are using the tool and you see a few kind of breaking through and building a real business. Where is that wall for moving from a demo to building a business?

17:45Anton Osika:The biggest frustration for me to some extent is that people don't know how powerful the capabilities of Lovable if you use it in the right way. So I think there is a lot on that internal. Because they don't know what to ask Lovable? If you're talking about the business specifically, you need to make other people care about what you've built. And the AI in Lovable can help with that as well, of course. But it's one of the many bottlenecks to make a successful business. If you think in terms of building software generally, you have to be come to terms with that to make something lovable, it's a really high quality product, you need to keep testing it and finding the issues and being a bit structured in how you develop your product so that it doesn't have bugs and it fully serves the problem of your customer.

18:43Anton Osika:and that doesn't take, the first version usually does not hit that level of polish that the customers expect. So it's more about the mindset. It's a very intelligent system that is building the software for you.

18:55Tomer Cohen:Some people might still think of Lavable as this consumer products playground. I build consumer products with it, but you're actually investing in enterprise. Like enterprise development is a massive business. Ultimately, there's tremendous impact to be had, both from a Lavable perspective, both for Lovable but also for the companies themselves. Was there like an enterprise wake-up call for you or was that there from the beginning?

19:18Anton Osika:What we're seeing is of course that the people who use it at home, who use it for themselves, they are bringing it into the workplace and the other way around as well. If you have a job and you're thinking about starting a company, then you want one tool that you learn and that you like and you should have your work inside of. So to us it was just obvious, let's make the product enterprise-grade secure, which we did in the first half of the last year, and then making all of the administrative functionality for enterprises to be extremely successful with Lovable. Both on what we were talking about, designers, product managers, anyone with an idea can show and demo, don't memo.

19:58Anton Osika:Companies are running their internal tools, finance and operations are doing their forecasts in Lovable. that's like changing how the company operates on top of what we like to talk about as compounding software. Lovable is run on five different internal tools with the Lovable and they're being evolved every single day by the people who use those tools.

20:18Tomer Cohen:Do you feel like it's in a way challenging who your audience is from the beginning? Like where in the beginning it was somebody has a great idea, they can take it out. But now you have teams involved, you have IT involved. They have demands.

20:34Anton Osika:How I see it is that you have this system and the agent that you're talking to that gets work done for you, pulls in context from Slack and other tools into Lovable. So you can ask for anything, it can read it. And then we need to do two things. We need to keep things very simple and they just work and make it opinionated so it's high quality. And then we add in capabilities.

20:59Tomer Cohen:When you think about people's reactions to building right now, what do you think people are overrating as moats? They're thinking, this is a real moat right now. I can build on it. You're like, no, that's not a moat. That's going to go away. And the flip side, what potentially looks like unscalable today, but is exactly the right thing to invest in?

21:21Anton Osika:I think fundamental moat is trust from people where you're living up to their expectations. you've been able to create value and you show that you have their best at heart. And everything else, you know, it's not really a moat. If someone has my data, I mean, I have to be able to access my data first of all, otherwise it's not valuable. So I will over time want to interface with a system that is the one that creates as much value for me at a price that that is not like absurd, which maybe in some cases, SaaS has absurd prices for the cost of what is actually delivering. And we're going to see that all companies really have to adapt now that anyone can create high quality software.

22:14Anton Osika:And users, what they think and what they want to use is the biggest moat. And the most important thing for a company is how team and culture are able to continuously deliver on those expectations from customers. And that's how you build a strong brand. It's the product and service, and that's how you build a strong brand. Everything else, I think, can be disrupted by a company now, especially with the age of anyone being able to create software and AI.

22:43Tomer Cohen:As a serial entrepreneur yourself, a very successful one, what advice would you give entrepreneurs who are thinking about what do I build right now or where are they now opportunities to think about to build something really remarkable as a service to people?

22:58Anton Osika:I think you should just try the tools and building as much as possible and make sure you have a tight feedback loop with users out there and there are different ways of getting that feedback loop you can have it online I think in person is actually the best way to have that feedback loop I think I think being purely digital is harder to differentiate. I think you're building, like taking AI and this better software into something that is also physical is a place where you can, there's more like untapped innovation to be had.

23:36Tomer Cohen:Yeah, what's an example that comes to it for you?

23:38Anton Osika:Seeing nurses building patient journey apps and healthcare is of course an extremely physical called in-person thing. We're seeing a lot of innovations, a very large AI e-commerce company in Sweden was built on Laval, and e-commerce is in part physical, where you need to get the right sizes, you need to get, you know, convey how an item would look on anyone, on yourself if you would try it out. And this company was built on Laval, made hundreds of thousands of ARR after only a few months. And that's the type of examples where you're bridging the gap, you're able to take a problem which is harder to solve with software because it's in person, in physical.

24:29Anton Osika:Just try as many things as possible is the short answer for me.

24:32Tomer Cohen:Anand, this was great. I would love to end on a rapid-fire question if you're out for it. If you could solve one product problem at Lavable right now by just snapping your fingers, what would that be?

24:43Anton Osika:I think it would be how to learn how to use the tool as productive as possible.

24:47Tomer Cohen:What is your favorite non-digital, non-software product?

24:51Anton Osika:I think my AirPods are really nice. They're with the noise cancellation. Cool. I'm traveling.

24:56Tomer Cohen:What's a product you did not think would be successful, but actually surprised you and was successful? Or the opposite? You think it would be successful, but it was not successful?

25:06Anton Osika:I think AI glasses would be actually super powerful. They still haven't taken off any of the glasses. It feels like they've taken off. So the wearable technology, maybe it's still doomed. I don't know, because we like to have a screen in front of us. Do you have one? No, I'm not using any of that technology.

25:24Tomer Cohen:But that's one you expect.

25:25Anton Osika:I would expect it to get more usage.

25:28Tomer Cohen:Cool. And then for all the aspiring builders out there, what would you advise them doing, Given your journey, how would you advise them going into it?

25:37Anton Osika:I mean, it depends. Things are changing very, very fast. There's a lot of opportunities. So if you can do something that you're uniquely good at. Being inspired by all the possibilities and being able to have a positive energy is the most important thing to get in the mindset of action. And I think building a company is a good way to learn. I think working at a company with a lot of talent, a lot of skills, which is also on a growth journey, is in some cases an even better way to learn. It's the only question of working at Lovable, who you're hiring of course. That's a great option. If you are considering starting something, I would put yourself in a social setting, like having a co-founder that matches your energy, that makes you just enjoy your day-to-day and all the things you're going to go through together.

26:34So the right mindset, start building and iterating

26:38Tomer Cohen:and surround yourself with people you love working with and you can learn from.

26:42Anton Osika:100%.

26:43Tomer Cohen:Love it. Anton, this was wonderful. Thank you so, so much.

26:45Anton Osika:Likewise. Thank you.

26:48Tomer Cohen:I really enjoyed my conversation with Anton. Now there's a temptation to frame tools like Lavable as a coding story, but it's not. It's a power story. And a few takeaways stand out. First, Anton's ambition is a cultural force. He's unapologetically explicit about his vision. He wants lovable to be something people are still using decades from now. Feasible or not, that grandkids ambition he was talking about sends a very clear message to his team. We're not building a feature. We're building something very enduring. Second, Lovable's strategy is simplicity over knobs. Inspired by Apple, Anton and his team are deliberately opinionated.

27:32Tomer Cohen:They spend cycles making the hard technical decisions for the user, which models, architecture, or defaults to use. Because they believe the core customer doesn't want tools, they want outcomes. The North Star is the future app creator who doesn't have the time, desire, or background to wrestle with software complexity. Third, AI doesn't remove the work, it moves the work. Anton pointed out that people sometimes give up too quickly when it comes to AI products. Lavable gets dramatically better as you iterate and learn how to use it and work with it over time. And this is true across many AI products.

28:14Tomer Cohen:Even with great tools, you still have to put in the cycles. You have to test, tighten, and iterate, and learn how to ask for what you actually need. Number four, Lavable builds the product, but there's a real opportunity in building out the whole ecosystem. Now, Lavable can help you create the most important part of your company, the product itself. But turning that into a business requires distribution, go-to-market, operations, legal, support, and trust, and so many other things. Anton's economic tool framing hints at a much bigger wave. We're going to have an ecosystem around AI-enabled building.

28:50Tomer Cohen:It is a tremendous opportunity in that. Lastly, the premise of this technological shift is simple. We are going to have more builders, more people testing ideas, and participating in the economy as creators of companies, not just users of companies. That's what I'm most excited about. I'm Tomer Cohen. Thank you for listening and watching, and keep building. You've been watching Building One. Our show is hosted by Tomer Cohen. Building One is produced and edited by Mason Cohn and the team at Coastal Production Works. This episode was mixed by Tim Boland. At LinkedIn, our team includes Rachel Karp, Sarah Storm, Dave Pond, and Alicia Mann, with support from Alex Kuznetsova and Mujib Merdad.

29:39Tomer Cohen:Until next time, keep building.

From the publisher

There’s a moment every builder remembers.

You type a few lines of code.The computer responds.And suddenly you realize: I can build things.

For decades, that moment was reserved for a small group of people who knew how to code. Turning an idea into working software required technical expertise, time, and often a full engineering team.

AI is changing that equation.

In this episode of Building One, host Tomer Cohen speaks with Anton Osika, co-founder and CEO of Lovable — a company building tools designed to dramatically reduce the friction between having an idea and turning it into working software.

Lovable allows people to describe what they want to build and generate functional applications far faster than before. But Anton’s ambition goes beyond helping developers move faster. His vision is to expand who gets to build in the first place.

From founders launching companies without technical co-founders to teams inside enterprises building their own internal tools, Anton believes AI is transforming software from a specialized craft into a much more accessible economic tool.

Tomer and Anton discuss:

Why the next wave of software creation is about enabling the 99% who don’t code

The philosophy behind Lovable — and why simplicity is often the hardest product decision to defend

The real tradeoffs behind AI-driven development, especially the gap between prototype and production

Why Anton believes the most underrated moat in AI is trust and brand love

How AI tools could unlock an entirely new generation of founders and builders

This conversation explores what happens when the barriers to building start to fall — and what it means for the future of entrepreneurship and product creation.

Because when building becomes easier, something bigger happens:

More builders.

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