How Lovable.dev Grew From 0 to $17M ARR in 3 Months
Story behind Lovable's rise to $17M ARR in 3 months, from OpenSource Repo to GPT Engineer and now Loveable.
Lovable.dev’s meteoric rise to $17 million in annual recurring revenue (ARR) within three months of its launch in November 2024 is a remarkable case study in startup growth, particularly in the AI-driven software development space. This Stockholm-based company, founded by Anton Osika and Fabian Hedin, transformed from an open-source project into a commercial juggernaut by leveraging a potent mix of product-market fit, community engagement, and strategic execution.

It is worth noting that there are many competitors coming into the CodeGen (Cursor, Bolt, V0) and No-Code App Builders (BuildThatIdea, Relevance AI, CustomGPTs). This market might look very different 6 months into the future, so keep an eye on the space.
Here’s a detailed breakdown of how Lovable achieved this unprecedented growth rate to $17M ARR in 3 months (or $1.4M MRR roughly):

Foundations: From GPT Engineer to Lovable
Lovable’s journey began with GPT Engineer, an open-source tool launched on GitHub in June 2023. Designed to generate code from natural language prompts, GPT Engineer quickly gained traction, amassing over 50,000 stars and becoming one of the fastest-growing repositories on the platform. This early success signaled a strong demand among developers for AI-powered coding tools, providing the founders with a clear indication of product-market fit. The pivot to Lovable in November 2024 built on this foundation, shifting from a developer-centric, command-line interface to a user-friendly, full-stack app-building platform aimed at both technical and non-technical users.
GPT Engineer was also launched on ProductHunt in August 2024 and got 836 upvotes. It is remarkable how an idea once getting noticed and accepted by a community can grow wildly fast.

The transition wasn’t immediate success from the start—Lovable’s team failed twice before refining their approach. These early iterations allowed them to learn quickly, focusing on what users truly wanted: a tool that democratizes software creation without requiring coding expertise. By November 2024, Lovable launched with a polished product that turned ideas into functional web applications in minutes, setting the stage for explosive growth.
Key Growth Drivers
Several factors converged to propel Lovable to $17 million ARR in just three months. Here’s how they did it:
1. Exceptional Product-Market Fit
Lovable addressed a critical pain point: only 1% of the global population can code, yet the demand for custom software is soaring, with the software development market exceeding $500 billion annually.
Lovable’s platform allows anyone—entrepreneurs, designers, or business owners—to create production-ready applications using natural language, slashing development time by up to 90%. Features like seamless integrations with GitHub for version control and Supabase for backend services made it a game-changer, particularly for rapid prototyping and deployment. The product’s ability to cater to both non-coders and developers (who could build 20x faster) broadened its appeal, driving adoption across diverse user segments.
2. Community-Led Growth and FOMO Loop
Unlike traditional startups that rely heavily on paid marketing, Lovable’s growth was fueled by organic community engagement. The team actively shared real-time traction metrics—ARR, user numbers, and app creation stats—on platforms like X, creating transparency and excitement.
Users became ambassadors, proudly showcasing their Lovable-built apps online, which the company amplified by resharing daily. This created a self-reinforcing “FOMO loop”: as more people saw the hype and success stories, curiosity turned into trials, and trials converted into paying customers (30,000+ within three months). Tech influencers and the AI/dev community further boosted visibility, amplifying Lovable’s reach without significant ad spend.
3. Lean and Efficient Execution
Lovable achieved $17 million ARR with just $2 million in capital expenditure from a $7.5 million pre-seed round (led by Hummingbird VC and byFounders in October 2024).
With a 15-person team, they avoided the pitfalls of overhiring or overspending, a common trap for fast-growing startups. Their focus remained on product development, releasing updates 20-50 times daily to refine the platform. This lean approach maximized efficiency, allowing them to scale revenue at a rate of $2 million ARR per week without burning through cash reserves.
4. Strategic Storytelling and Positioning
Lovable’s founders, particularly CEO Anton Osika, mastered the art of storytelling. They positioned Lovable as a category-defining tool in the “vibe coding” space—where users describe what they want, and AI handles the rest.
Regular blog posts, X updates, and public milestones kept the narrative alive, resonating with a global audience. Osika’s ambition to “empower 1 million people to build live apps” tapped into a universal desire for accessibility, while their European roots added a layer of pride and differentiation in a U.S.-dominated tech landscape.
5. Viral Traction and Investor Confidence
The platform’s sheer usage stats—25,000 new apps built daily and 1.2 million apps created since launch—underscored its viral adoption. This momentum caught the eye of investors, leading to a $15 million pre-Series A round in February 2025, led by Creandum with participation from top tech angels.
The funding came after Lovable nearly crashed GitHub due to its intense growth, a testament to its technical impact. Investors saw parallels to early-stage Spotify, betting on Lovable to redefine AI-driven software development.
6. Technical Innovation
Lovable’s proprietary technology, including its use of multiple large language models (e.g., OpenAI’s GPT-4 Mini for speed and Anthropic’s Claude for reasoning), set it apart from competitors. Its ability to orchestrate full-stack development—frontend, backend, and deployment—while maintaining production quality gave it an edge over tools like Cursor or Bolt.new.
The smooth developer experience, especially with Supabase integrations, further accelerated adoption among technical users, contributing to weekly ARR jumps of over $1 million.
Monetization and Retention
Lovable’s pricing model, starting at $20/month for 100 chats (used for code generation, editing, or refactoring), scaled with usage, ensuring accessibility while capturing value from power users. The platform’s 85% Day 30 retention rate—higher than ChatGPT’s—reflected strong user satisfaction and stickiness, critical for sustaining ARR growth. This retention, paired with 30,000 paying customers, underpinned its financial success.

Challenges and Resilience
Lovable faced hurdles, such as a GitHub account suspension in January 2025, likely due to its rapid activity. Yet, the team quickly adapted, maintaining momentum. Their focus on small, empowered teams allowed them to iterate fast and stay ahead of competitors who raised larger war chests but lagged in product quality.
The Bigger Picture
Lovable’s growth to $17 million ARR in three months—reaching $20 million shortly after—demonstrates a rare blend of vision, execution, and timing. By tapping into the AI boom, addressing a massive market gap, and harnessing community-driven hype, Lovable didn’t just grow fast; it redefined what’s possible for a European startup. With plans to expand globally and enhance integrations, its trajectory suggests this is just the beginning.
What's Next in AI Development Tools?
We are now moving towards even powerful tools that lets you build, launch, and monetise your ideas using AI. BuildThatIdea is one such example, that allows anyone to launch AI Agents and Wrappers in 60 seconds, fine-tune with custom data, and set monthly subscription pricing. It handles frontend/backend, LLM integrations, and payment support seamlessly behind the scenes. The end user only has to come up with great ideas, provide good data for fine tunning, and just start marketing their product. Fin
Get AI privacy without
compromise
Chat with Deepseek, Llama, Qwen, GLM, Mistral, and 30+ open-source models
Encrypted storage with client-side keys — conversations protected at rest
Shared context and memory across conversations
2 image generators (Stable Diffusion 3.5 Large & Qwen Image) included