Lovable’s Co-Founder on Why Developers Still Use a Platform Made for Non-Technical Users

Anastasija Uspenski

I went to Raise Summit in Paris to see whether Lovable is just another tool for non-technical founders - or something developers can actually use to build faster.

Lovable lets people describe the software they want to build in plain in natural language, and then the platform creates it. It handles security, builds complete solutions, and lets users add artificial intelligence to their applications.

Essentially, it helps people build entire apps, and company founders, small businesses, and large corporations all use it.

This is how Anton Osika, co-founder of Lovable, described his platform. Users create over a million apps on it every week, and these apps attract around 700 million monthly visits.

It sounds like a true paradise for non-technical people who want to build products and scale their businesses, but I wanted to know what value Lovable brings to developers, who make up 20% of the user base. I found my answers at this year’s Raise Summit in Paris, during the fireside chat between Osika and Mark Cuban, the investor and serial entrepreneur.

1. For a quick project start

Cuban highlighted that one of Lovable’s greatest strengths is how it helps people become entrepreneurs:

We all have ideas, right? But taking the first step is usually the hardest part.

The platform’s creator strongly agreed. He explained that although people initially viewed Lovable as a software engineer (or even as competition), they eventually came to see it as an AI co-founder and partner:

When you start a company, the hard part is not just building the software. You also have to register the business, handle banking, set up payment systems, and organize operations.

As he explained, users now build their businesses by talking to the platform and giving it prompts like:

  • “I am launching my business. What is the next step?”
  • “How do I set up global payments?”
  • “How do I get customers?”
  • “How do I build internal systems?”

At the very start of product development, Lovable significantly shortens the path from an idea to the first prototype.

This is especially true for developers who know what they want to build but do not want to waste time starting from scratch or dealing with complex business steps. Previously, they had to hire an accountant, a lawyer, or a consultant for these tasks.

2. For MVP and idea validation

For developers working on new products, Lovable serves as an MVP machine. It helps them test whether an idea has market value before they invest serious time in fully custom development.

According to Osika, if you are close to a problem and understand it well, you are often the best person to know what solution to build. He said that building this kind of solution used to be hard because it required too many resources:

Today, you can build a large part of it on your own. That is what I generally recommend. We recently conducted a survey of 10,000 of our users, and about 80% of them are building something they plan to monetize at some point.

Osika also pointed out that many people who successfully monetize their products have a decade or more of professional experience. They combine their expertise with Lovable to build products that attract actual users.

In this case, Lovable serves as a validation tool. This means you first create a working version, then measure market interest, and only then expand the product.

3. For internal tools

Lovable is not just for robust, new applications, it also works well for internal tools, especially when teams need a quick tool for operational processes.

As an example, Anton mentioned Nursa, a US company that allowed its employees to use Lovable for various needs, ranging from marketing to administrative processes.

The results were highly cost-effective:

They have already replaced more than ten software subscriptions that they used to pay for, and they estimate they will save about a million dollars a year.

This example shows that founders can use Lovable to quickly assemble small tools that cut costs and replace multiple separate SaaS solutions.

This way, they save both time and money, and they can focus on their core business.

Photo: Anastasija Uspenski

4. For integrations and business infrastructure

Cuban noted that integrating AI into large companies is often much more complicated than people expect:

We see companies like Microsoft hiring thousands of engineers to implement AI solutions.

Therefore, in addition to building apps, Lovable allows users to integrate these tools into their business infrastructure.

This enables developers to connect the product to databases, internal tools, ERP systems, and other existing company systems much faster, without tedious manual work or complex initial setups.

He observed:

One of the major challenges is connecting to existing systems: ERP systems, internal databases, and current software tools.

To solve this, Lovable enables secure and controlled connections, which allows companies to use AI effectively.

For developers, this matters because it allows them to look beyond the frontend and quickly extend the application’s reach into actual business processes.

In other words, Lovable helps them work more efficiently, not just in building products, but also in fitting them into a broader technical and business ecosystem.

5. For analytics, reporting, and decision-making

Finally, Lovable helps build a layer that connects business data with the tools teams use for strategy, finance, and operational planning.

Instead of lengthy development from scratch, developers can deliver tools that help the team find answers faster and make data-driven decisions.

Cuban described this through his own use of an AI agent:

I ask it: “How fast are we growing in a specific segment?” “Which countries should we consider for a new office?”

This application is important for developers because it shows that Lovable can serve as the foundation for tools that are not just visually functional, but also business-relevant.

As Anton Osika said, “access to core data is one of the key ways we unlock the value of artificial intelligence.” This is exactly what gives developers the power to build reliable tools for analysis, forecasting, and decision support.

And here’s my two cents…

Ultimately, this fireside chat left me with a clear realization: using Lovable will not make everyone a developer, let alone a good one. But developers who embrace it can become significantly more effective. They build faster, work smarter, and spend less time on repetitive tasks.

As Anton Osika pointed out, only about a fifth of the platform’s users possess a technical background. Yet, these individuals know exactly how to leverage the tool to their advantage.

This marks the true shift in our industry. We are not witnessing the end of software engineers, but rather the rise of creators who understand the core problem deeply enough to build solutions in record time.

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