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How Lovable became a successful AI-powered app builder
How Lovable became a successful AI-powered app builder

Indian Express

time3 days ago

  • Business
  • Indian Express

How Lovable became a successful AI-powered app builder

Lovable, a Swedish AI startup, has crossed $100 million in annual recurring revenue, putting it ahead of most other software firms, including OpenAI. Currently, the firm has more than 2.3 million active users, and last reported 180,000 paying subscribers. Here is a look at Lovable, and how it became such a big company so quickly. Lovable is essentially a company that offers an AI-powered app development platform, allowing users to build entire web applications using natural language prompts. It was founded in November 2023 by Anton Osika and Fabian Hedin with an aim to democratise software development by enabling non-coders to turn their ideas into a reality. The company shot to fame after creating something called GPT Engineer, an open-source tool that showcased the ability of large language models (LLMs) to write functional code from simple prompts. LLMs are trained on massive amounts of text data that can understand and generate human language. Following the success of GPT Engineer, Loveable launched GPT which was meant to be used by non-technical users. At the heart of Lovable's success lies its goal to allow anyone to create web apps with natural language, without the need to code. All one has to do is have a vision, and give instructions to the GPT 'The app eliminates the complexity of traditional app-creation environments by combining coding, deployment, and collaboration in a single interface,' according to a report by Contrary Research, a hub for research and analysis of private tech companies. Users can build a wide range of products from simple websites to complex web apps with the help of Lovable. Not only this, the company provides a user-friendly interference which has been a key in its success.

Google is testing a vibe-coding app called Opal
Google is testing a vibe-coding app called Opal

Yahoo

time4 days ago

  • Business
  • Yahoo

Google is testing a vibe-coding app called Opal

AI-powered coding tools have become so popular over the past few months that almost every major tech company is either using one or making its own. Makers of these so-called 'vibe-coding' tools are a hot commodity at the moment, with startups like Lovable and Cursor fending off buyers and investors keen to tap a hot trend. Google's now become the latest to hop on this bandwagon: the company is testing a vibe-coding tool called Opal, available to users in the U.S. through Google Labs, which the company uses as a base to experiment with new tech. Opal lets you create mini web apps using text prompts, or you can remix existing apps available in a gallery. All users have to do is in a description of the app they want to make, and the tool will then use different Google models to do so. Once the app is ready, you can navigate into an editor panel to see the visual workflow of input, output, and generation steps. You can click on each workflow step to look at the prompt that dictates the process, and edit it if you need to. You can also manually add steps from Opal's toolbar. Opal also lets users publish their new app on the web and share the link with others to test out using their own Google accounts. Google's AI studio already lets developers build apps using prompts, but Opal's visual workflow indicates the company likely wants to target a wider audience. The company joins a long list of competitors, including Canva, Figma, and Replit, that are making tools to encourage non-technical people to create prototypes of apps without having to do any coding.

Google is testing a vibe-coding app called Opal
Google is testing a vibe-coding app called Opal

TechCrunch

time4 days ago

  • Business
  • TechCrunch

Google is testing a vibe-coding app called Opal

AI-powered coding tools have become so popular over the past few months that almost every major tech company is either using one or making its own. Makers of these so-called 'vibe-coding' tools are a hot commodity at the moment, with startups like Lovable and Cursor fending off buyers and investors keen to tap a hot trend. Google's now become the latest to hop on this bandwagon: the company is testing a vibe-coding tool called Opal, available to users in the U.S. through Google Labs, which the company uses as a base to experiment with new tech. Opal lets you create mini web apps using text prompts, or you can remix existing apps available in a gallery. All users have to do is in a description of the app they want to make, and the tool will then use different Google models to do so. Once the app is ready, you can navigate into an editor panel to see the visual workflow of input, output, and generation steps. You can click on each workflow step to look at the prompt that dictates the process, and edit it if you need to. You can also manually add steps from Opal's toolbar. Opal also lets users publish their new app on the web and share the link with others to test out using their own Google accounts. Google's AI studio already lets developers build apps using prompts, but Opal's visual workflow indicates the company likely wants to target a wider audience. The company joins a long list of competitors, including Canva, Figma, and Replit, that are making tools to encourage non-technical people to create prototypes of apps without having to do any coding.

Lovable AI Hits $100M In Record Time And Launches AI Agent Chasing $1B
Lovable AI Hits $100M In Record Time And Launches AI Agent Chasing $1B

Forbes

time6 days ago

  • Business
  • Forbes

Lovable AI Hits $100M In Record Time And Launches AI Agent Chasing $1B

Lovable sets its target on 1 Billion in revenue with new AI Agent. I remember staying up late in my early career, debugging code line by line, painstakingly stitching software together with the help of nothing more than a keyboard, a terminal, and a lot of patience. Back then, every semicolon mattered. Every build felt like a victory. Fast forward to today, I'm still building, but now I'm working with the help of AI teammates like Lovable, GPT-4o, and aiXplain. This is a new era of creation—faster, more collaborative, and more accessible. It's not traditional programming, it's vibe coding. And the market is exploding. According to Grand View Research, the AI code tools market, was valued at $4.86 billion in 2023 and is expected to grow to $26 billion by 2030, at a compound annual growth rate (CAGR) of just under 30%. With developers and non-developers alike embracing AI agents to automate, iterate, and build entire applications, this space is becoming one of the hottest frontiers in applied artificial intelligence. ROI for AI is starting to become important. In the middle of this momentum, one company has broken away from the pack. Lovable just crossed $100 million in annual recurring revenue, only eight months after launch. That pace puts it ahead of OpenAI, Cursor, Wiz, and virtually every other software company in recent memory. Loveable has grown its AI coding assistant business to $100M, which is the fastest growth of all AI ... More companies to date. Now, Lovable is taking a bold next step. Today, the company launched Lovable Agent, an upgrade that reduces error rates by 91 percent and enables deeper, more complex interaction between humans and machines. If the original version took Lovable from $1 million to $100 million, this new version could very well be the leap that takes it to $1 billion. From Straight-Line Automation to Iterative AI Agent Intelligence Lovable began as a simple, powerful AI assistant capable of helping users ship products quickly. But it worked in a linear way, solve the task in one go and move on. Lovable Agent redefines that logic. It operates like a senior developer, breaking tasks into steps, examining codebases, making targeted edits, reviewing outcomes, and refining its strategy until the goal is achieved. This iterative loop brings resilience and flexibility into the workflow. It doesn't just answer; it reasons, adapts, and continues until the job is done. The Lovable AI Developer loop for their new AI Agent The agent is also backed by a growing library of tools. It can read and edit files, search the web for documentation, debug logs, generate and interpret images, and run analytics queries. These tools enable Lovable to move beyond traditional prompt-and-response experiences and into full-stack software building. Real Impact, Real Revenue For The Lovable AI Agent The shift isn't just architectural, it's transformational. With drastically fewer errors and broader autonomy, Lovable Agent opens up new possibilities for users who want to build more sophisticated products. The platform can now handle projects that previously would have required a team of engineers. That shift is already being felt by customers. One entrepreneur, Caio Moretti, generated $3 million in revenue in just 48 hours with a product built on Lovable. Another user, Jameel, built a tool for restaurant owners and reached $90,000 in annual recurring revenue. Both cases underscore a broader trend: builders without traditional coding backgrounds are using AI agents to create real businesses. Most Lovable users don't know how to code. That's by design. With Lovable, you describe what you want in plain language, and the AI builds it. It's not coding. It's creating. The Business Behind the Build of the AI Agent Internally, Lovable is remarkably lean. Just 45 employees are generating $2.2 million per person in annual revenue. The company's vision is to build the last piece of software needed to enable a billion people to become creators. By simplifying development and supercharging productivity, it's positioning itself as a core layer in the future of software. Anton Osika is the co-founder and CEO of Lovable, for the AI Agent This kind of velocity is rare, especially in Europe, where Lovable is based. But it's also a reminder of the power of clarity, product focus, and aggressive execution. AI Competitive Landscape and the Road Ahead Lovable isn't alone in this race. OpenAI's GPT-4o, GitHub Copilot, and Cursor are building in the same space. AIxplain, another rising competitor, offers an end-to-end platform that allows users to design, build, and deploy AI pipelines, essentially democratizing access to customized agents and intelligent automation. Replit is investing heavily in its Ghostwriter agent. And newer players like MultiOn and Cognosys are pushing boundaries in full-agent autonomy and tool-based orchestration. And big tech is getting into the game too. On July 23, 2025, Microsoft announced a wave of AI-focused upgrades at Build, positioning Windows 11 as a full-fledged development platform for intelligent apps. Key among them was Windows AI Foundry, which enables local AI capabilities and turns every Windows machine into an agent-building environment. Microsoft also introduced pro-code enhancements in Copilot Studio, including new SDKs and BYO-model support, empowering developers to create enterprise-grade agents. Meanwhile, GitHub Copilot evolved from a code assistant into a true AI coding agent—capable of cloning repos, fixing bugs, adding features, and documenting code autonomously. The market is getting crowded, and fast. Still, Lovable has a few advantages. First-mover momentum. A sharply executed product. A viral go-to-market strategy. And a growing library of success stories. But there are headwinds too. As agent frameworks mature, the lines between platforms begin to blur. Much of the technology stack, including language models, APIs, and toolchains, is not proprietary. To stay ahead, Lovable will need to build defensibility in the form of network effects, ecosystem integrations, proprietary data, and community loyalty. There's also the challenge of trust. As these systems gain autonomy, reliability becomes a core concern. For enterprise customers especially, confidence in consistency, compliance, and explainability will be non-negotiable. What Comes Next For Lovable And The AI Agent Lovable's new release is more than an update, it's a bet. A bet that agents are the next frontier of software, and that building things with AI should feel like a conversation, not a coding exercise. To support new users, the company is offering $100 in credits along with a 16-page prompt engineering guide. It's an open invitation. Take a weekend, explore vibe coding, and build your first product. Lovable may have started as a fast-growing tool. But with Lovable Agent, it's making the case to be something far more ambitious, a foundational platform for the future of building. Did you enjoy this story about Lovable's AI success and AI Agent? Don't miss my next one: Use the blue follow button at the top of the article near my byline to follow more of my work.

Eight months in, Swedish unicorn Lovable crosses the $100M ARR milestone
Eight months in, Swedish unicorn Lovable crosses the $100M ARR milestone

Yahoo

time6 days ago

  • Business
  • Yahoo

Eight months in, Swedish unicorn Lovable crosses the $100M ARR milestone

Less than a week after it became Europe's latest unicorn, Swedish vibe coding startup Lovable is now also a centaur — a company with more than $100 million in annual recurring revenue (ARR). Lovable took only eight months since its launch to get here, thanks to the skyrocketing popularity of its AI-powered website and app builder. The startup claims it now has more than 2.3 million active users, and last reported 180,000 paying subscribers. With only 45 full-time employees, and 14 open positions on its careers page, that makes for an impressive employee-to-revenue ratio. Subscriptions seem to be driving the bulk of Lovable's revenue, but the company isn't prioritizing sales at all costs. Shortly after Lovable said it had reached ARR of $75 million in June, its CEO Anton Osika wrote on X that Lovable had 'lost $1.5 million ARR in a single day' because it had moved all users on its Team tier to its less expensive Pro tier, which now also accommodates collaboration. The Teams plan is now being replaced by a Business tier, which sits between the Pro and custom Enterprise offerings. The new plan offers business-focused features such as self-serve, Single Sign-On (SSO), templates, private projects that won't be visible to the entire team, and the option to opt-out from having your data be used for training. Lovable already has a slate of large customers like Klarna, Hubspot and Photoroom, but there are still notable barriers and concerns around vibe coding among enterprises — where the big money is. This new tier could help Lovable find intermediary use cases and drive more businesses to use its tools for more than prototyping, which is what the startup says most people use it for today. This has been one focus for the company, and Osika recently said that businesses were driving significant revenue from projects built with Lovable. The startup says more than 10 million projects have been created on Lovable to date. The $100 million ARR club isn't large, especially in Europe, but it is growing thanks to tailwinds from all things AI. In April, Nvidia-backed B2B AI video platform Synthesia, also surpassed that milestone — though it was founded in 2017, not late 2024. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

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