What is vibe coding, and why are Nvidia, Google backing Lovable at $6.6B valuation?
The venture capital arms of Nvidia and Google have backed Swedish startup Lovable in a $330 million Series B round that values the vibe coding platform at $6.6 billion.
The investment triples Lovable’s valuation in just five months and comes as the Stockholm company hit $200 million in annual recurring revenue.
The number marks a milestone that underscores explosive demand for AI-native software development tools.
The round included participation from Accel, Khosla Ventures, Menlo Ventures, Salesforce Ventures, and a dozen other prominent firms.
The development comes as one of the largest raises for an AI-coding startup and signaling that traditional software development faces genuine disruption from autonomous AI agents.
What is vibe voding, and how Lovable works
Vibe coding is a radically simplified approach to building software.
Instead of writing code line-by-line, developers and non-technical creators simply describe what they want in plain English, and Lovable’s AI agents generate fully functional full-stack applications in minutes.
The platform generates frontend UI using React and Tailwind CSS, backend logic, database schemas, and deployment configurations, allowing users to iterate visually or edit code directly through GitHub integration.
Lovable’s explosive growth validates the market appetite for this model.
The company doubled its ARR from roughly $100 million in July to $200 million by November 2025, a feat accomplished in just four months.
The platform now hosts nearly 8 million users, with developers building approximately 100,000 new applications daily on Lovable.
Revenue comes from a tiered SaaS model starting at $25 monthly and scaling to $100 monthly for premium features, with enterprise customers accessing custom integrations and dedicated support.
Why Nvidia and Alphabet wrote large checks
Nvidia’s participation carries obvious hardware implications.
Vibe coding generates applications that often require significant inference compute, agentic AI systems that continuously refine code, debug errors, and suggest improvements consume substantial GPU resources.
Every developer using Lovable to build increasingly complex applications represents incremental GPU demand, whether through cloud infrastructure or on-device acceleration.
For Nvidia, backing Lovable creates a consumption engine driving adoption of its H100, L40S, and next-generation AI accelerators.
Google’s CapitalG and Alphabet’s involvement reflect complementary but distinct strategic interests.
First, the company can integrate Lovable’s capabilities into Google Cloud’s developer ecosystem and potentially leverage its vast language model capabilities to improve code generation quality.
Second, vibe coding represents a category shift in how enterprise customers build software.
If Lovable’s technology matures and spreads, it could funnel development workloads toward cloud infrastructure. Google Cloud, Azure, and AWS all have incentives to embed AI-coding tools into their platforms.
Third, Alphabet gains optionality around GitHub Copilot, Microsoft’s AI-coding assistant.
Lovable’s full-stack generation approach differs fundamentally from Copilot’s code-completion model, creating potential for competitive leverage or acquisition attractiveness.
The investors will keep a close eye on whether the startup’s gross margins expand as it scales; unit economics will determine whether the $6.6 billion valuation proves justified or overheated.