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.
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.
| Month | Lovable adoption share | Replit adoption share | Lovable spend share | Replit spend share |
|---|---|---|---|---|
| Aug-2024 | 0.00% | 0.03% | 0.00% | 0.01% |
| Dec-2024 | 0.00% | 0.04% | 0.00% | 0.01% |
| Jan-2025 | 0.00% | 0.05% | 0.00% | 0.01% |
| Feb-2025 | 0.00% | 0.05% | 0.00% | 0.01% |
| Mar-2025 | 0.01% | 0.05% | 0.00% | 0.01% |
| Apr-2025 | 0.01% | 0.06% | 0.00% | 0.01% |
| May-2025 | 0.03% | 0.07% | 0.00% | 0.01% |
| Jun-2025 | 0.05% | 0.08% | 0.01% | 0.01% |
| Jul-2025 | 0.08% | 0.09% | 0.01% | 0.01% |
| Aug-2025 | 0.10% | 0.10% | 0.02% | 0.02% |
| Sep-2025 | 0.13% | 0.12% | 0.02% | 0.02% |
| Oct-2025 | 0.17% | 0.13% | 0.03% | 0.02% |
| Nov-2025 | 0.20% | 0.15% | 0.04% | 0.02% |
| Dec-2025 | 0.23% | 0.16% | 0.04% | 0.03% |
| Jan-2026 | 0.27% | 0.17% | 0.05% | 0.03% |
| Feb-2026 | 0.31% | 0.20% | 0.07% | 0.04% |
| Mar-2026 | 0.35% | 0.21% | 0.08% | 0.05% |
| Apr-2026 | 0.37% | 0.23% | 0.09% | 0.05% |
| May-2026 | 0.40% | 0.23% | 0.10% | 0.06% |
| Jun-2026 | 0.42% | 0.24% | 0.11% | 0.07% |
| Jul-2026 | 0.44% | 0.24% | 0.12% | 0.07% |
| Aug-2026 | 0.47% | 0.25% | 0.13% | 0.08% |
| Aug-2022 | — | 0.03% | — | 0.00% |
| Sep-2022 | — | 0.03% | — | 0.00% |
| Oct-2022 | — | 0.03% | — | 0.00% |
| Nov-2022 | — | 0.03% | — | 0.00% |
| Dec-2022 | — | 0.02% | — | 0.00% |
| Jan-2023 | — | 0.02% | — | 0.00% |
| Feb-2023 | — | 0.02% | — | 0.00% |
| Mar-2023 | — | 0.02% | — | 0.00% |
| Apr-2023 | — | 0.02% | — | 0.00% |
| May-2023 | — | 0.02% | — | 0.00% |
| Jun-2023 | — | 0.02% | — | 0.00% |
| Jul-2023 | — | 0.02% | — | 0.00% |
| Aug-2023 | — | 0.02% | — | 0.00% |
| Sep-2023 | — | 0.02% | — | 0.00% |
| Oct-2023 | — | 0.03% | — | 0.00% |
| Nov-2023 | — | 0.03% | — | 0.00% |
| Dec-2023 | — | 0.03% | — | 0.01% |
| Jan-2024 | — | 0.03% | — | 0.01% |
| Feb-2024 | — | 0.03% | — | 0.01% |
| Mar-2024 | — | 0.03% | — | 0.01% |
| Apr-2024 | — | 0.03% | — | 0.01% |
| May-2024 | — | 0.03% | — | 0.01% |
| Jun-2024 | — | 0.03% | — | 0.01% |
| Jul-2024 | — | 0.03% | — | 0.01% |
| Sep-2024 | — | 0.04% | — | 0.01% |
| Oct-2024 | — | 0.04% | — | 0.01% |
| Nov-2024 | — | 0.04% | — | 0.01% |
| Product | Rank by adoption | Rank by spend | Adoption share | Spend share | 12-mo rank change |
|---|---|---|---|---|---|
| Lovable | #28 | #114 | 0.47% | 0.13% | — |
| Replit | #60 | #172 | 0.25% | 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.
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.
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:
| Tool | Category | Overlap with companies paying for Lovable |
|---|---|---|
| OpenAI | AI Platforms & Model Ops | 92.7% |
| Anthropic | AI Platforms & Model Ops | 90.5% |
| People Ops & Talent | 80.4% | |
| Figma | Marketing & Growth | 77.7% |
| Adobe | Marketing & Growth | 74.9% |
| Tool | Category | Overlap with companies paying for Replit |
|---|---|---|
| OpenAI | AI Platforms & Model Ops | 98.6% |
| Anthropic | AI Platforms & Model Ops | 90.4% |
| GitHub | Engineering & DevOps | 84.9% |
| Microsoft | Collaboration & Productivity | 84.9% |
| Adobe | Marketing & Growth | 82.2% |
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: 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,
| Product | Category | Subcategory | Primary team | AI classification |
|---|---|---|---|---|
| Lovable | Engineering & DevOps | Dev Tools | Engineering | AI-Native |
| Replit | Engineering & DevOps | Dev Tools | Engineering | AI-Native |
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.
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.
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.
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.
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.