The fastest growing AI company in Europe! Lovable only took 3 months to achieve a revenue of 120 million from scratch

The fastest growing AI company in Europe! Lovable only took 3 months to achieve a revenue of 120 million from scratch

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2025-03-26

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  B-end product managers need to pay more attention to customers' business needs, pain points, budgets, decision-making processes, etc., while C-end product managers need to pay more attention to users' personal needs

From 0 to 120 million in revenue, Lovable achieved a leap in ARR (annual recurring revenue) from 1 million to 17 million in just a few months, taking only 3 months. This article will delve into Lovable's secret to success, including its unique entrepreneurial philosophy, product values, and community building strategies, for your reference.

There is never a shortage of miracles in the business world of AI.

Well, Lovable from Sweden, with a declaration of "even if you can't write code, you can make an app", went from 0 to $1700 ARR (annual recurring revenue) in just three months, equivalent to 120 million RMB.

This also makes it the fastest-growing AI startup in European history.

Lovable's job is actually very simple, which is to turn application development into "building blocks". Ordinary people can transform their ideas into applications in just a few seconds with simple prompts.

Don't underestimate this matter, Lovable's user stickiness is even higher than ChatGPT.

According to CEO Anton Osika, the retention rate of paid users for the product in the first month is currently as high as 85%, and it is even growing.

Even more exaggerated is that despite achieving such impressive results, Lovable company only has a mere 15 people. Calculated, the per capita income exceeds 1 million US dollars.

Looking back at the development history of this company, Crow Jun found that Lovable's growth miracle was not just about betting on the trend of AI programming. From the timing of entry to product design concepts, to early operational strategies, Lovable has a unique understanding.

To some extent, Lovable's success is more like a textbook case of entrepreneurship in the AI era.

01 Fastest growing AI startup company

Lovable is a Swedish startup founded by Anton Osika and Fabian Hedin in 2023.

Like many AI entrepreneurs, Anton and Fabian are two geniuses.

Anton started programming at the age of 12, studied particle physics, and even started a company with a $20 million investment. Fabian is not inferior either. She started her own business at the age of 10 and sold her company in high school.

What does a product manager need to do if there is no product available?

In the process of creating a product from scratch, it is not easy to play the role of a product manager. Apart from writing requirements, writing requirements, writing requirements, there are many things to do. A product manager is not just someone who troubles you and makes demands in your eyes

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In 2023, after Anton and Fabian met, they released an open-source project called GPT Engineer

This is a platform that automatically generates web applications and is also the prototype of Lovable. It allows users to describe the features they want in natural language, and then AI will generate code that can be used for production.

As soon as this project was launched, it quickly gained a lot of attention on GitHub and became one of the fastest-growing code repository projects in the platform's history. The success of GPT Engineer validates the Lovable team's previous judgment:

AI programming products targeting non-technical personnel will be a market with enormous potential.

Although GPT Engineer was very successful, the team also identified two issues:

One reason is that the name GPT Engineer is very similar to OpenAI's derivative products, and the brand recognition is not strong;

Secondly, although GPT Engineer has gained good attention on GitHub, GitHub's users are mainly developers and cannot help it find a large number of potential users who do not understand the technology; ‍

To address these issues, Anton and his team began to productize this idea and officially named the company "Lovable".

However, Lovable was not successful from the beginning during the productization process.

Before the official release of Lovable, the team had also released two test versions, but neither of them achieved the expected success. One of the important reasons is that AI often gets stuck during the programming process, and users who do not understand program development do not know what to do.

Later, Lovable found a way and invented a system that performed almost as well on large code repositories as on small code repositories, allowing users to build products without encountering bottlenecks.

Meanwhile, Lovable also integrates services such as Supabase in the backend, which can help you easily connect to the backend, collaborate with developers, and track the evolution of application versions.

In this way, Lovable became the first engineer driven by AI to cover the entire process from pre design to post maintenance.

In November 2024, Lovable officially released its product. After this product launch, Lovable seemed to have opened up a new world and achieved tremendous success.

While most AI products are still struggling with commercialization challenges, Lovable has demonstrated astonishing business growth potential:

In just three months, Lovable's ARR grew from zero to $17 million, becoming one of the fastest-growing startups in European history.

The revenue growth curve is as follows: On November 30th of last year, the 8th day after its release, Lovable reached an ARR of $1 million; On December 22 of the same year, the company announced that ARR had exceeded $4 million; On January 27th of this year, two months after its release, Lovable's ARR reached $10 million. On February 26th of this year, the company announced again that ARR had reached $17 million.

In the latest interview, Anton Osika attributed the rapid growth in revenue to extremely high customer retention. At present, the retention rate of Lovable paying users in the first month exceeds 85%, which is higher than ChatGPT and even continues to rise.

Money has been earned, but Lovable's traffic has also declined. Now, Lovable's website receives up to 10 million monthly visits, just one step away from industry leader Cursor's 13 million.

So, why has Lovable been able to achieve such great success?

02 The Entrepreneurial Philosophy Behind the Growth Miracle

Since founding Lovable, the team has had a clear vision: AI can enable everyone to create web applications in natural language.

This is an extremely accurate judgment. It should be noted that only 1% of the global population understands programming, but the demand for customized software is soaring, with the annual output value of the global software development market exceeding $500 billion.

Having a judgment is not enough, the Lovable team accurately seized the best opportunity.

There is a saying in investment that when lightning strikes, it's best to be present. In terms of implementing AI entrepreneurship, this has become a requirement for start-up companies to do the ready function before the model capability is ready.

Based on the assumption that anyone can develop a program, Lovable began exploring its implementation as early as 2023 and continued to test and iterate in 2024 until the model technology matured. Lovable was the first to launch a product, which led to a growth of $17 million in the following three months.

In addition to the choice of entrepreneurial direction and timing, the Lovable team also has a unique product value system: a minimalist product concept and rapid iteration.

Lovable's founder Anton Osika has a minimalist product philosophy similar to Apple's, which is to achieve the ultimate in key experiences, avoid "feature accumulation", and "reject" all unnecessary complex features as much as possible.

Returning to the product, Lovable focuses on pursuing ease of use. This is particularly reflected in interaction. When most AI products choose the chat form, Lovable believes that this form is not the most efficient way of interaction.

So Lovable incorporated the design of prompt boxes, providing the ability to modify specific components of the interface through targeted AI chat. In February 2025, Lovable launched a trial feature called Visual Edits, where users can select any element in the interface and directly change its size, color, content, etc. through the panel, without the need for AI chat. The experience is similar to Figma.

When asked about the difference between Bolt and Reply, Anton Osika's answer also revolves around usability:

1) Users can instantly modify text and colors without taking 30 seconds to enter the code editor;

2) We synchronize with Github, so non-technical personnel don't have to worry about local file systems and submissions;

At the same time, Lovable also implements the MVP (Minimally Feasible Product) strategy, which means completing core functions in just one weekend, then polishing and optimizing over several weekends, and quickly launching with user feedback driving iteration.

In Anton Osika's words:

Identify the biggest bottlenecks and product issues, iterate quickly to solve them, and avoid creating overly long roadmaps

Since the first version of GPT Engineer App, the team has been continuously collecting user feedback for iteration. Only when the product is deemed good enough, it is officially renamed Lovable and successfully launched in the market.

In addition to the values of the product, Anton, as one of the core initiators of the Stockholm AI community, has also spent a lot of time on community building. This played an important role in the early development of Lovable.

When GPT Engineer became a hit and received 50000 GitHub stars, it quickly established credibility and promoted word-of-mouth through Twitter and developer forums.

Later, Lovable continued to release product updates and growth data, sharing user achievements to boost popularity, forming a FOMO (Fear of Missing Opportunities) cycle: the more people share its explosive growth, the more people are eager to try.

03 Summary

While tech giants are still racking their brains for the landing scenarios of big models, Lovable has validated the explosive power of its "product subtraction strategy" through its persistent exploration of the idea that anyone can program.

Today, with the explosion of AI applications, this Nordic company that turns code editors into chat boxes is proving with dazzling data of $17 million ARR growth in three months:

At the intersection of AI and productivity, the real revolution does not necessarily come from technological leaps, but from domesticating complex systems into building blocks that even children can operate. The pivot that drives the 500 billion software development market is precisely hidden in the keyboards of 4.4 billion ordinary people worldwide who have never been exposed to for loops (a common programming language).

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This article is written by everyone who is a product manager [crow intelligence theory]. WeChat official account: [crow intelligence theory]. The original/authorized release on everyone is a product manager. Reproduction without permission is prohibited.

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欧洲增速最快AI企业！从0做到1.2亿收入，Lovable只用了3个月

乌鸦智能说关注

2025-03-26

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从0到1.2亿收入，Lovable仅用了3个月时间，其ARR（年度经常性收入）在短短数月内实现了从100万美元到1700万美元的飞跃。本文将深入剖析Lovable的成功秘诀，包括其独特的创业哲学、产品价值观以及社区建设策略，供大家参考。

AI的商业世界里从来不缺少奇迹。

这不，来自瑞典的Lovable，靠一句”不会写代码也能做App”的宣言，就在短短三个月时间里，从0做到1700美金ARR（年经常性收入），相当于1.2亿人民币。

这也让其成为欧洲有史以来增长最快的AI初创企业。

Lovable做的事情其实很简单，就是把应用程序开发变成“搭积木”，普通人仅通过简单的提示词，在几秒钟内将想法转化成应用程序。

可别小看这个事，Lovable的用户粘性甚至比ChatGPT还高。

据公司CEO Anton Osika透露，目前产品的付费用户第一个月的留存率高达85%，甚至还在增长。

更夸张的是，取得如此傲人成绩，Lovable公司里却只有区区15个人。算下来，人均创收超过100万美元。

回顾这个公司的发展历史，乌鸦君发现，Lovable的增长奇迹，并非仅仅押对了AI编程的风口，从入场时机选择到产品设计理念，再到早期的运营策略，Lovable都有着独特的理解。

某种程度上说，Lovable的成功，更像是一次教科书式的AI时代创业案例。

01 增长最快的AI初创公司

Lovable是一家瑞典初创公司，由Anton Osika和Fabian Hedin于2023年创立。

与很多AI创业者一样，Anton和Fabian又是两个天才。

Anton从12岁开始编程，研究过粒子物理，还开过公司，并拿到了2000万美元的投资。Fabian也不逊色，从10岁开始创业，高中时就把自己公司给卖了。

一款产品无到有，产品经理需要做些什么？

在一个产品从无到有的过程中，要做好产品经理这个角色实在是不容易，除了大家都知道的写需求、写需求、写需求，要做的事多着呢。产品经理不是你眼中的只会找你麻烦，提要求..

查看详情 >

2023年，Anton和Fabian见面后，就发布了一个名为GPT Engineer的开源项目

这是一个自动生成Web应用的平台，也是Lovable的原型。它允许用户用自然语言描述他们想要的功能，然后AI会生成可用于生产的代码。

这个项目一上线，就很快在GitHub上获得了大量的关注，成为平台历史上增长最快的代码库项目之一。GPT Engineer的成功，验证了Lovable团队此前的判断：

面向非技术人员的AI编程产品将是一个有巨大潜力的市场。

虽然GPT Engineer很成功，但团队也发现了两个问题：

一是GPT Engineer的名字很像OpenAI 的衍生产品，品牌识别度不强；

二是虽然GPT Engineer在GitHub获得不错的关注度，但GitHub的用户基本以开发者为主，并不能帮助其找到海量不懂技术的潜在用户；‍

为了解决这些问题，Anton和他的团队开始着手将这个想法进行产品化，并将公司正式命名为“Lovable”。

然而，在产品化过程中，Lovable也不是一开始就成功的。

在正式发布Lovable前，团队也曾经发布过两个测试版本，但是都没有取得想象中的成功。其中一个很重要的原因是，AI在编程过程中会经常卡住，用户不懂程序开发，就不知道怎么办。

后来Lovable找到了办法，他们发明了一个系统，使得系统在大型代码库上的表现几乎与在小型代码库上一样出色，让用户在构建产品过程中不会遇到瓶颈。

同时，Lovable还在后端集成了Supabase等服务，可以帮助你轻松连接后端、与开发人员合作以及跟踪应用版本的演变。

这样一来，Lovable成为第一个由AI驱动涵盖从前期设计到后期维护全流程的工程师。

2024年11月，Lovable正式发布了产品。这次产品发布后，Lovable仿佛打开了一个新世界，取得了巨大的成功。

当大多数AI产品仍然苦于商业化难题，Lovable却展现了惊人的商业增长潜力：

在短短3个月时间里，Lovable的ARR从0增长到1700万美元，成为欧洲有史以来发展最快的创业公司之一。

收入增长曲线如下：去年11月30日，也就是发布后的第8天，Lovable达到100万美元ARR；同年12月22日，公司宣布，ARR已经突破400万美元；今年1月27日，在发布后2个月，Lovable的ARR达到1000万美元。今年2月26日，公司再次宣布，ARR已经到达1700万美元。

在最新的采访中，Anton Osika将收入的高速增长归功于极高的客户留存。目前，Lovable 付费用户第一个月的留存率超过85%，比ChatGPT还高，甚至这个数字还在不断上升。

钱赚了，Lovable的流量也没落下。现在，Lovable每月网站访问量高达1000万次，距离行业老大Cursor的1300万仅一步之遥。

那么，Lovable为什么能够取得如此巨大的成功呢？

02 增长奇迹背后的创业哲学

从创立Lovable开始，团队就有着清晰的愿景：AI能让所有人用自然语言创建Web应用。

这是一个极为精准的判断。要知道，全球只有1%的人群懂得编程，但对于定制化软件的需求却在飙升，每年全球软件开发市场的产值超过5000亿美元。

有了判断还不够，Lovable团队还准确抓住了最佳的时机。

在投资里有句话说，当闪电打下来的时候,你最好在场。而落地AI创业上，这事就变成了创业公司需要在模型能力ready前，就提前做ready的功能。

基于人人都能开发程序这个判断，Lovable早在2023年就开始进行落地的探索，并在2024年持续测试迭代，直到模型技术成熟后，Lovable率先推出了产品，这才有了后来3个月1700万美元的增长。

除了创业方向和时机上的选择，Lovable团队也有着独特的产品价值观：极简的产品理念和快速迭代。

Lovable的创始人Anton Osika有着和苹果一样极简的产品理念，即把关键体验做到极致，避免“功能堆积”，尽可能“拒绝”一切不必要的复杂功能。

落回到产品上，Lovable注重追求易用性。这一点尤其体现在在交互上。当大部分AI产品都选择chat形态时，Lovable却认为这种形态并不是效率最高的交互方式。

于是，Lovable融入了提示框的设计，提供对界面特定组件进行定向AI chat修改的功能。2025 年 2 月，Lovable又推出试用功能 Visual edits，用户可以选中界面中的任何元素，直接通过面板更改元素的大小、颜色、内容等，无需通过AI chat，体验与Figma类似。

当被问及与Bolt、Replit的区别时，Anton Osika的回答也围绕易用性展开：

1）用户可以即时修改文字、颜色，不用花费30秒进入代码编辑器；

2）我们与Github同步，非技术人员不用管本地文件系统和提交；

同时，Lovable还践行了MVP（最简可行产品）策略，即仅用一个周末完成核心功能，再用几个周末打磨优化，快速上线后，用户反馈驱动迭代。

用Anton Osika的话说就是：

“找到最大的瓶颈和产品问题，快速迭代解决，不做过长的路线图。”

从第一版GPT Engineer App开始，团队就开始不断收集用户反馈进行迭代。只有当认为产品足够好时，才正式更名为Lovable推向市场，并取得了成功。

除了产品的价值观外，作为Stockholm AI社区的核心发起人之一，Anton也花了很多时间在社区建设上。这对Lovable早期的发展起到了重要的作用。

当GPT Engineer成为爆款，获得了5万GitHub星标，使它迅速地建立了可信度，并通过Twitter和开发者论坛推动口碑传播。

后来，Lovable又持续发布产品更新与增长数据，分享用户成果助推热度，形成FOMO（错失机会的恐惧）循环：越多人分享其爆炸增长，越多人渴望尝试。

03 总结

当科技巨头仍在为大模型的落地场景绞尽脑汁时，Lovable凭借对人人都能编程的执着探索，验证了”产品减法策略”的爆发力。

AI应用井喷的今天，这家把代码编辑器变成聊天框的北欧企业，正在用3个月增长1700万美元ARR的刺眼数据证明：

在AI与生产力的交汇处，真正的革命未必来自技术跃进，而是将复杂系统驯化成孩童都能操作的积木。而撬动5000亿软件开发市场的支点，恰恰藏在全球44亿从未接触过for循环（常见的编程语言）的普通人的键盘里。

文/林白

本文由人人都是产品经理作者【乌鸦智能说】，微信公众号：【乌鸦智能说】，原创/授权 发布于人人都是产品经理，未经许可，禁止转载。

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