Lovable

Build software products, using only a chat interface

lovable.dev

Lovable Visual Edits: Comprehensive AI-Powered App Development Platform

This comprehensive analysis reveals that Lovable has evolved from an open-source project into one of Europe’s fastest-growing AI-powered app development platforms, with its Visual Edits feature representing a significant advancement in no-code development tools. The platform combines artificial intelligence with intuitive design capabilities, enabling both technical and non-technical users to create full-stack applications through natural language prompts and direct visual manipulation.

Description Rewrite

Lovable is a Stockholm-based AI-powered full-stack app development platform that enables anyone to create professional software applications without coding knowledge. The platform’s flagship Visual Edits feature, launched in February 2025, provides users with a Figma-like interface for directly editing application elements including sizes, colors, content, and styling. Built on top of Lovable’s chat-based AI app builder, Visual Edits represents a hybrid approach that combines the speed of AI generation with the precision control traditionally found in professional design tools. The platform integrates multiple large language models including OpenAI’s GPT-4, Google Gemini, and Anthropic’s Claude to generate both frontend interfaces and backend logic, while supporting integrations with services like Supabase for databases and GitHub for version control.

Deep Service Report

Lovable emerged from the open-source GPT Engineer project, which gained over 50,000 GitHub stars and became one of the fastest-growing open source projects in 2023. The company was founded by Swedish entrepreneurs Anton Osika and Fabian Hedin, who transformed their command-line tool into a comprehensive web-based platform. The evolution from GPT Engineer to Lovable represents a strategic shift from developer-focused tools to a broader platform accessible to product managers, designers, entrepreneurs, and business stakeholders.
The platform’s core functionality revolves around natural language processing, where users can describe desired features or applications in plain English, and the AI system generates complete implementations including user interfaces, backend logic, database structures, and API integrations. The Visual Edits feature addresses a critical gap identified by the development team, where users needed more granular control over design elements without reverting to code or lengthy AI conversations.
Technical architecture relies on orchestrating multiple AI models for different tasks, with GPT-4 Mini handling speed-focused operations and Claude managing complex reasoning tasks. The platform maintains compatibility with existing development workflows through GitHub integration, allowing technical teams to export and continue development using traditional coding approaches when needed.
The company has demonstrated remarkable growth metrics, scaling from launch to over 500,000 registered users and processing more than 25,000 new application builds daily. Revenue growth has been equally impressive, with the platform reaching \$17 million in annual recurring revenue within months of launch and projections suggesting \$50 million ARR by April 2025.

Country

Sweden (Stockholm-based)

Pros & Cons

Pros:

• Speed of Development: Enables application creation 20x faster than traditional coding methods
• Accessibility: No coding knowledge required, democratizing software development
• Visual Control: Figma-like interface provides precise design control without prompting
• Full-Stack Capability: Handles both frontend and backend development including databases and authentication
• Integration Support: Native integrations with popular services like Supabase, GitHub, and Stripe
• Real-Time Collaboration: Team members can collaborate live with instant visibility of changes
• Scalability: Supports large codebases with 100,000+ lines of code
• Developer Handoff: Generated code is well-organized and can be transferred to traditional development workflows

Cons:

• AI Limitations: Still dependent on AI model capabilities and may produce inconsistent results for complex requirements
• Customization Constraints: While visual editing helps, highly specialized functionality may still require traditional coding
• Platform Lock-in: Heavy reliance on Lovable’s infrastructure and AI models
• Cost Scaling: Token-based pricing model can become expensive for high-usage scenarios
• Learning Curve: Despite being no-code, effective use requires understanding of software development concepts
• Quality Variability: AI-generated code quality may vary and require manual review for production applications

Pricing

Lovable operates on a tiered subscription model with the following structure:

• Free Tier: Basic access with limited features and monthly chat allowances
• Starter Plan: \$20-25 per month including 100 monthly chats for code generation, editing, and refactoring
• Pro Subscription: Enhanced features with personal workspaces and ability to invite up to 2 collaborators per project
• Teams Subscription: Support for up to 20 users in shared workspaces with collaborative features and shared credit pools
• Enterprise: Custom pricing for larger organizations with advanced security, compliance, and support features

The pricing model is primarily based on chat usage, where each interaction with the AI for code generation, editing, or refactoring consumes credits from the monthly allowance.

Competitor Comparison

Feature	Lovable	Bubble	Webflow	Cursor	MIT App Inventor
Target Audience	Non-technical + Technical	Non-technical	Designers + Developers	Developers	Students/Educators
Development Approach	AI-powered prompts + Visual editing	Visual drag-and-drop	Visual design + Code export	AI-assisted coding	Block-based programming
Backend Support	Full-stack with Supabase integration	Built-in database and workflows	Limited backend capabilities	Code-based backend	Limited backend
Learning Curve	Low to Medium	Medium	Medium to High	High	Low
Code Export	GitHub integration	No traditional code export	Clean HTML/CSS/JS export	Full code control	App export only
Pricing Start	\$20-25/month	\$29/month	\$14/month	\$20/month	Free
Collaboration	Real-time team features	Team collaboration available	Team plans available	Limited collaboration	Sharing capabilities
AI Integration	Core platform feature	Limited AI features	No native AI	Primary feature	No AI integration

Team Members

Leadership Team:

• Anton Osika – Co-founder and CEO
• Fabian Hedin – Co-founder
• Alexandre Pesant – Team member
• Emil Fagerholm – Team member
• Henrik Westerlund – Team member
• Kristian Ruiz Kyvik – Team member
• Mårten Wiman – Team member
• Nad Chishtie – Team member
• Niklas Vatn – Team member
• Sebastian Schaaf – Team member
• Valthor Halldorsson – Team member
• Vibor Cipan – Team member
• Viktor Eriksson – Team member

Team Members Background

Anton Osika (Co-founder and CEO) has an extensive background in artificial intelligence and software development. He began coding at age 12 and co-founded the Stockholm AI community. His professional experience includes being the first technical hire at Sana Labs, where he developed award-winning AI algorithms. Prior to Lovable, he co-founded Depict.ai, a Y Combinator startup that raised \$20 million from global investors, where he served as Chief Technology Officer.
Fabian Hedin (Co-founder) demonstrated entrepreneurial spirit from an early age, building ventures since age 10 and selling a prop-tech startup while still in high school. His technical experience includes developing Stephen Hawking’s computer interface and collaborating with former SpaceX engineers on wheelchair technology projects.
The broader team consists of individuals with diverse backgrounds including former employees from major technology companies like Google and Stripe, International Olympiad in Informatics (IOI) medalists, competitive programmers, physicists, product engineers, and serial founders. The company emphasizes hiring high-agency individuals who thrive in small, effective teams and contribute to building what they describe as “the last piece of software.”

Team Members Social Media Links

The team maintains a strong presence in the developer and AI communities, with members regularly sharing updates about product development, technical achievements, and company growth through professional networking platforms.

Final Thoughts

Lovable Visual Edits presents an exciting new approach to app development. By combining the power of AI with an intuitive visual editor, it has the potential to democratize app creation and empower users to bring their ideas to life faster than ever before. While still in early access, it’s definitely a tool to watch for anyone interested in no-code development and AI-powered design.

Lovable

Build software products, using only a chat interface

lovable.dev