Head-to-Head Comparison

Lovable vs Replit

Which Code Assistant is right for you? See our complete breakdown.

Lovable

9/10 Our Pick Visit Lovable
VS

Replit

8/10 Visit Replit
FeatureLovableReplit
MegaOne Score9/108/10
CategoryCode AssistantCode Assistant
Pricing ModelFreemiumFreemium
Starting Price$25.00/mo$25.00/mo
Free TierYesYes
API AvailableNoNo
Open SourceNoNo
iOS AppNoNo
Android AppNoNo
Chrome ExtensionNoNo
CompanyLovable Labs IncorporatedReplit
Total Funding$653M$922M

Visual Comparison

Score Reach Value Team Funding Reviews
Lovable Replit

About Lovable

Lovable is an AI-powered platform that enables users to build and deploy full-stack web applications using natural language prompts.

Lovable is a full-stack AI development platform designed for building, iterating on, and deploying web applications through natural language. It allows users to describe their app idea, and the platform generates a complete codebase, including frontend, backend, database, authentication, and integrations, often utilizing Supabase as a backend-as-a-service. The tool supports the entire product development lifecycle, from rapid prototyping to deployment and ongoing operation, with all generated code being editable.

About Replit

Replit is a cloud-based development platform with AI-powered agents for building, testing, and deploying applications directly in the browser.

Replit is a cloud-based development platform where users can build, test, and publish applications entirely in their browser, supporting over 50 programming languages. Its core feature is Replit Agent 4, an AI that transforms natural-language prompts into complete, working software, including web apps, mobile apps, and even slide decks. The platform aims to democratize software creation by offering a zero-setup environment for developers and enabling non-coders to build apps with AI assistance.

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.