Lovable vs Replit
Which Code Assistant is right for you? See our complete breakdown.
| Feature | Lovable | Replit |
|---|---|---|
| MegaOne Score | 9/10 | 8/10 |
| Category | Code Assistant | Code Assistant |
| Pricing Model | Freemium | Freemium |
| Starting Price | $25.00/mo | $17.00/mo |
| Free Tier | Yes | Yes |
| API Available | No | No |
| Open Source | No | No |
| iOS App | No | No |
| Android App | No | No |
| Chrome Extension | No | No |
| Company | Lovable Labs Inc. | Replit, Inc. |
| Total Funding | $545M | $922M |
Visual Comparison
About Lovable
Lovable is an AI-powered full-stack app builder that transforms natural language prompts into working web applications and prototypes.
Lovable is an AI-powered platform that enables users to build custom web applications, internal tools, and websites by interacting with an AI through natural language. It generates full-stack code, including a React + Tailwind frontend and a Supabase backend for database, authentication, and storage. Beyond app building, recent updates allow it to analyze data, create and edit files, generate professional documents, images, and videos, all within the same conversational interface.
About Replit
Replit is a cloud-based AI development environment that allows users to build, run, and deploy applications from natural language prompts.
Replit is an AI-powered cloud development platform that enables users to turn ideas into web and mobile applications, data dashboards, and AI tools without extensive coding. Its latest iteration, Agent 4, offers features like a design canvas for visual mockups, parallel agents for faster development, and the ability to create various outputs (apps, slides, animations) within a single project. The platform integrates AI-assisted coding, runtime infrastructure, and deployment capabilities, making software creation accessible to a broad audience.
Lovable takes the edge
With a MegaOne score of 9/10 versus 8/10, Lovable edges ahead of Replit in our analysis. However, Replit may still be the better choice depending on your specific use case and budget.