Lovable Surpasses $500 Million Annualised Revenue as Vibe Coding Disrupts SaaS Market
Founded in late 2023, Lovable has seen its annualised run-rate revenue jump from $400 million in February to over $500 million, signalling a potential shift away from legacy software contracts.

Lovable, a rapidly expanding artificial intelligence startup specialising in "vibe coding", has reported that its annualised run-rate revenue has surpassed $500 million. The company, which was founded in late 2023, confirmed the milestone to TechCrunch, noting a significant acceleration from the $400 million annualised rate recorded in February of this year. The growth underscores the intense market interest in platforms that allow software generation through natural language prompts rather than traditional coding.
Usage metrics indicate a corresponding surge in activity, with the platform now processing one million new projects per week. Since its inception, users have created over 50 million projects on the service. Lovable previously projected in August 2024 that it could reach $1 billion in annualised revenue within 12 months. While the company may not be on track to double that figure by the summer, the current trajectory represents substantial expansion for a business that has not yet reached its third anniversary.
The user base driving this growth consists primarily of non-technical individuals, including founders, designers, and salespeople. According to a survey of projects hosted on the company’s blog, these users are increasingly utilising the platform to build software intended for monetisation or internal business operations. Applications range from monetisable websites and e-commerce storefronts to complex internal tools such as customer relationship management (CRM) systems, inventory platforms, and human resources (HR) software.
This shift in user behaviour suggests a potential disruption to the legacy Software as a Service (SaaS) market. The ability for non-developers to generate custom software raises questions about the long-term viability of expensive annual SaaS contracts. If businesses can build their own internal tools using natural language prompts, the demand for third-party software solutions may decline, challenging the established revenue models of traditional software providers.
However, the long-term sustainability of this model remains uncertain due to the complexities of software maintenance. Unlike purchased SaaS products where vendors manage updates and infrastructure, self-built code relies on constantly shifting dependencies and third-party services. These external factors can cause applications to break over time, placing the burden of maintenance on the user. Industry observers note that tracking abandoned projects will be critical to determining whether this trend represents a lasting market shift or a temporary phase.


