Lovable helps anyone create software 20x faster with Claude

Lovable uses Claude to transform software development, enabling non-engineers and developers to create web applications through natural conversation instead of code.

With Claude, Lovable:

• Makes development 20x faster than traditional coding
• Empowers more than one million active users each month to build software products
• Grew to $40 million in annualized recurring revenue in under six months post launch

Breaking down barriers to software creation

Less than one percent of the world's population knows how to code, and even experienced developers struggle with complex software design principles. Lovable aims to change this by creating a platform that allows the other 99% to build production-ready applications through natural conversation. "It's a bit unfair that there is just one percent that can code and all the world's population and even less that can know all the best practices to make really great, loveable software," said Anton Osika, CEO and co-founder at Lovable.

Selecting Claude for reliable software generation

After evaluating commercial and open-source AI models, Lovable chose to rely on Claude in its core product, as it performed the best on generating code. The team developed a rigorous quantitative evaluation process to measure success rates in completing software development tasks without hitting roadblocks.

"The key to our product's reliability was quantitatively evaluating how often the system hits a wall and builds an application that doesn't meet user expectations. With that measurement, we could assess our own innovations and evaluate changing out to different models," said Osika.

Through their research preview access, Lovable tested Claude against leading commercial and open source models. Claude 3.7 Sonnet impressed the team with design, performance, and reliability. "It's definitely one of the market leaders and we're big fans.", said Osika. By combining Claude's capabilities with their innovations in prompt engineering and system design, Lovable created a platform that delivers functional, production-ready code.

How Claude powers accessible software development

Lovable uses Claude as the primary engine for key aspects of web development, focusing on areas where reliability and quality are crucial. By integrating Claude's capabilities, Lovable transforms natural language conversations into functional software, making development accessible to both technical and non-technical users.

Osika identified three key use cases for the platform: conceptualization, standalone product development, and internal tool creation. During conceptualization, users can quickly validate ideas and create proof-of-concept applications instead of spending time explaining abstract concepts. For standalone products, users can build and deploy complete commercial applications through conversational interactions. With internal tools, businesses can rapidly develop custom solutions that integrate with their existing systems and workflows.

The platform also emphasizes educating users throughout the development process. "When you come in as a user, you get educational snippets on how to get the most value and how this entire system works," explained Osika. This educational approach helps users build successful applications while developing a deeper understanding of software development principles.

Lovable helps users create diverse applications through Claude's natural language understanding:

• Intuitive front-end user interfaces
• Backend systems with secure login functionality
• Commercial SaaS products ready for customer use
• Internal business tools for workflow optimization
• Customer-facing applications with full deployment capability

Transforming ideas into reality

Lovable's platform has changed how quickly ideas become functional software. "We're seeing lots of people that are close to business problems now being empowered to drive execution independently with our AI Software Engineer," said Osika. For developers, the platform drastically accelerates development—"it's 20 times faster than writing the code themselves," noted Osika.

What sets Lovable apart is its comprehensive approach to software creation. The platform converts natural language directly into production-ready applications, offers seamless two-way GitHub integrations, and provides Supabase backend integration with bidirectional AI model connections. Its visual editing capabilities improve precision and enhance front-end development, giving users multiple ways to refine their applications.

Users have created and launched diverse applications from ingenious SaaS tools to MVPs or internal tools for their enterprise teams. "Besides founders and "solopreneurs", it's especially product and design teams, i.e. people that know what good products look like, that we see rapid adoption of Lovable with." says Osika. The platform has cultivated a vibrant community of members on Discord, where user feedback directly shapes the product roadmap.

Building the future of software engineering

Lovable envisions 2025 as a transformative year for AI-powered software development. Rather than replacing engineers, Osika sees AI elevating their strategic importance in two ways. "First is to integrate and understand how to connect different building blocks and existing systems. Second is to translate what users and humans want into the products we interface with," said Osika. As the pace of technological change accelerates, engineers will evolve from writing code to becoming essential interpreters between human needs and technical possibilities. "Having people who understand the technology, what is possible, and what creates a great product is more important since things are changing rapidly," said Osika.

Lovable aims to make software development more accessible while maintaining high standards for reliability and quality through their partnership with Anthropic. As AI models become more capable, Lovable sees opportunities to streamline the translation between human ideas and functional software, democratizing creation while preserving crucial human elements of software engineering.