Lovable vs Replit: Market Share & Adoption Data (August 2026)

Lovable logoLovable#28 by adoption#114 by spend
Replit logoReplit#60 by adoption#172 by spend

Lovable holds 0.47% of SaaS market share by adoption (#28 overall); Replit holds 0.25% (#60), and has held its rank over the last 12 months.

Lovable vs Replit market share over time

Monthly market share by adoption and by spend, full history. Share is each product's percentage of all SaaS purchasing activity tracked in the dataset that month.

MonthLovable adoption shareReplit adoption shareLovable spend shareReplit spend share
Aug-20240.00%0.03%0.00%0.01%
Dec-20240.00%0.04%0.00%0.01%
Jan-20250.00%0.05%0.00%0.01%
Feb-20250.00%0.05%0.00%0.01%
Mar-20250.01%0.05%0.00%0.01%
Apr-20250.01%0.06%0.00%0.01%
May-20250.03%0.07%0.00%0.01%
Jun-20250.05%0.08%0.01%0.01%
Jul-20250.08%0.09%0.01%0.01%
Aug-20250.10%0.10%0.02%0.02%
Sep-20250.13%0.12%0.02%0.02%
Oct-20250.17%0.13%0.03%0.02%
Nov-20250.20%0.15%0.04%0.02%
Dec-20250.23%0.16%0.04%0.03%
Jan-20260.27%0.17%0.05%0.03%
Feb-20260.31%0.20%0.07%0.04%
Mar-20260.35%0.21%0.08%0.05%
Apr-20260.37%0.23%0.09%0.05%
May-20260.40%0.23%0.10%0.06%
Jun-20260.42%0.24%0.11%0.07%
Jul-20260.44%0.24%0.12%0.07%
Aug-20260.47%0.25%0.13%0.08%
Aug-20220.03%0.00%
Sep-20220.03%0.00%
Oct-20220.03%0.00%
Nov-20220.03%0.00%
Dec-20220.02%0.00%
Jan-20230.02%0.00%
Feb-20230.02%0.00%
Mar-20230.02%0.00%
Apr-20230.02%0.00%
May-20230.02%0.00%
Jun-20230.02%0.00%
Jul-20230.02%0.00%
Aug-20230.02%0.00%
Sep-20230.02%0.00%
Oct-20230.03%0.00%
Nov-20230.03%0.00%
Dec-20230.03%0.01%
Jan-20240.03%0.01%
Feb-20240.03%0.01%
Mar-20240.03%0.01%
Apr-20240.03%0.01%
May-20240.03%0.01%
Jun-20240.03%0.01%
Jul-20240.03%0.01%
Sep-20240.04%0.01%
Oct-20240.04%0.01%
Nov-20240.04%0.01%

Spend rank vs adoption rank

ProductRank by adoptionRank by spendAdoption shareSpend share12-mo rank change
Lovable#28#1140.47%0.13%
Replit#60#1720.25%0.08%

Lovable ranks higher by adoption (#28) than by spend (#114) — it is widely adopted at a comparatively low price point.

Replit ranks higher by adoption (#60) than by spend (#172) — it is widely adopted at a comparatively low price point.

Do companies use Lovable and Replit together?

38.4% of companies paying for Replit also pay for Lovable.

Overlap is measured on companies with active paid subscriptions to both products — a high overlap means the two tools are often complements rather than strict substitutes.

What companies adopt after leaving Replit

Among companies whose Replit subscription lapsed in the last 90 days, these are the most-adopted tools in the same workflow, as a share of switchers:

  1. Anthropic — adopted by 77.8% of switchers
  2. OpenAI — adopted by 66.7% of switchers
  3. GitHub — adopted by 66.7% of switchers

Which stack does each tool live in?

Tools most often found alongside Lovable

ToolCategoryOverlap with companies paying for Lovable
OpenAIAI Platforms & Model Ops92.7%
AnthropicAI Platforms & Model Ops90.5%
LinkedInPeople Ops & Talent80.4%
FigmaMarketing & Growth77.7%
AdobeMarketing & Growth74.9%

Tools most often found alongside Replit

ToolCategoryOverlap with companies paying for Replit
OpenAIAI Platforms & Model Ops98.6%
AnthropicAI Platforms & Model Ops90.4%
GitHubEngineering & DevOps84.9%
MicrosoftCollaboration & Productivity84.9%
AdobeMarketing & Growth82.2%

Analyst take: what the data says about Lovable vs Replit

Lovable has the clearer adoption lead as of August 2026, ranking #28 overall compared with Replit at #60. Their adoption ranks have moved at the same pace over the past year. By spend, Lovable ranks higher (#114 versus #172), which shows where more of the measured software budget currently sits. The switching signal adds useful context: after leaving Replit, some companies adopted Anthropic or OpenAI. The practical takeaway is to separate market position from product fit: the rankings show which tool is more established and where buying momentum is moving, but they do not measure features, price, or quality. Use those signals to build a shortlist, then decide against your own workflows and requirements.

Lovable and Replit at a glance

Lovable: Lovable.dev is an AI-powered platform that enables users to create and deploy full-stack web applications through natural language prompts. It integrates with Supabase for backend services and GitHub for version control. The platform supports frontend and backend code generation, real-time collabora

Replit: Replit is a software creation platform that facilitates collaborative building with AI integration. It offers an instant-start environment for development across various languages and frameworks, with built-in live collaboration tools. The platform also features capabilities for one-click debugging,

ProductCategorySubcategoryPrimary teamAI classification
LovableEngineering & DevOpsDev ToolsEngineeringAI-Native
ReplitEngineering & DevOpsDev ToolsEngineeringAI-Native

Lovable vs Replit: frequently asked questions

Which is more popular, Lovable or Replit?

Lovable is more widely adopted in this data as of August 2026. It ranks #28 overall, while Replit ranks #60. This measures observed software adoption, not product quality or suitability for a particular company.

Which is growing faster, Lovable or Replit?

Lovable has held its rank over the last 12 months, while Replit held its rank. This is a change in relative adoption rank; it does not prove that companies are leaving one product for the other.

Can you use Lovable and Replit together?

Yes. In the measured data, 38.4% of companies paying for Replit also pay for Lovable. That shows the products can coexist, although the data does not explain why a company uses both or whether they serve the same workflow.

Which is bigger by spend, Lovable or Replit?

Lovable ranks higher by measured spend. Lovable is #114 and Replit is #172. Spend rank shows where more of the observed software budget sits; it does not explain pricing or value.

Is Lovable better than Replit for ai app builders use cases?

This data cannot determine which product is better. It measures adoption, spend position, momentum, and—in some cases—overlap. Use those signals to understand market position, then compare the products against your own workflows, requirements, and budget.