Fastest-growing EU based startup

Is Lovable free to use?

Lovable offers a free tier with paid upgrades available.

What category does Lovable belong to?

Lovable is a AI Web Development tool with expertise in TypeScript, AI/ML.

How do I get started with Lovable?

Visit the official Lovable website to get started. You can access it through the 'Visit Website' button on this page.

Lovable - AI Web Development Tool for MVP Building

AI Web Development • Freemium

Lovable helps builders turn screenshots into functioning Supabase-backed web apps with an AI-powered WYSIWYG.

lovable.dev

Best for:

• Rapid MVP prototyping directly from screenshots or mockups
• Designers/founders who want Supabase-backed apps without hand-coding
• Building internal/admin tools or simple user flows quickly

Not for:

• Production systems requiring custom backend logic or heavy scaling
• Teams that need pixel-perfect frontends or full control over code
• Projects that must avoid vendor lock-in or require on-prem hosting

Lovable bills itself as an EU-based, Supabase-native successor to Bubble that mixes AI and no-code. From the description and site, the standout feature is the WYSIWYG editor that can take screenshots as input and produce a working web app—claiming to skip a step many designers take with Figma by going straight to an app scaffold. You'll find this useful if you want to move extremely fast from an idea or mock to a clickable, data-backed prototype. It’s a good fit for solo founders or small teams who need an MVP and don’t want to write all the plumbing: auth, database wiring (Supabase), and frontend layout can be jump-started by the tool’s AI-assisted interface. Honest limitations and gotchas: the AI-generated output isn’t magic—expect to clean up layout, logic, and accessibility issues. If your product needs complex client-side state, custom backend jobs, or very specific performance tuning, Lovable’s WYSIWYG will feel restrictive. Freemium plans often limit features or app size, so production-readiness may require upgrading. Also, platform-specific abstractions can create lock-in; migrating a grown app off the no-code surface will be a non-trivial effort. When to use it: rapid prototyping, validating flows with users, or building admin/internal tools backed by Supabase. When to skip it: if you need full control over frontend code, complex server logic, or a long-lived, high-traffic production system. Overall, Lovable looks promising as a fast AI+no-code route to MVPs, but treat its output as a strong prototype rather than finished production code.

Lovable bills itself as an EU-based, Supabase-native successor to Bubble that mixes AI and no-code. From the description and site, the standout feature is the WYSIWYG editor that can take screenshots as input and produce a working web app—claiming to skip a step many designers take with Figma by going straight to an app scaffold.

You'll find this useful if you want to move extremely fast from an idea or mock to a clickable, data-backed prototype. It’s a good fit for solo founders or small teams who need an MVP and don’t want to write all the plumbing: auth, database wiring (Supabase), and frontend layout can be jump-started by the tool’s AI-assisted interface.

Honest limitations and gotchas: the AI-generated output isn’t magic—expect to clean up layout, logic, and accessibility issues. If your product needs complex client-side state, custom backend jobs, or very specific performance tuning, Lovable’s WYSIWYG will feel restrictive. Freemium plans often limit features or app size, so production-readiness may require upgrading. Also, platform-specific abstractions can create lock-in; migrating a grown app off the no-code surface will be a non-trivial effort.

When to use it: rapid prototyping, validating flows with users, or building admin/internal tools backed by Supabase. When to skip it: if you need full control over frontend code, complex server logic, or a long-lived, high-traffic production system.

Overall, Lovable looks promising as a fast AI+no-code route to MVPs, but treat its output as a strong prototype rather than finished production code.

Tradeoffs:

Lovable accelerates app scaffolding with AI but often requires manual cleanup and can create platform lock-in; treat outputs as prototypes, not final production code.