Figma Make and Lovable are two of the most popular AI builders for product managers — but they take fundamentally different approaches. Figma Make generates design-accurate UI inside Figma, where your team already collaborates. Lovable generates full-stack apps with working backends. We compared them category by category to help you pick the right one for your prototyping workflow.
Best for PMs who need stakeholder-ready demos that match the design system and live where the team already works. Uses your existing Figma components. No backend. Included in Figma plans.
Best for PMs who need functional, clickable prototypes with login, database, and multi-step workflows. Supabase integration handles the backend. Generic UI. $25/mo standalone.
If you're a product manager evaluating AI prototyping tools, Figma Make and Lovable are likely both on your shortlist — and for good reason. Figma Make brings AI generation directly into the design tool your team already uses, with design-system-aware output. Lovable generates working full-stack apps with backend integration that design tools can't touch. They're built for different jobs, and choosing the wrong one wastes time and creates workflow friction.
This comparison breaks down Figma Make vs Lovable across 12 categories — stakeholder demo prototyping, iteration speed, team collaboration, pricing, design system fidelity, backend capability, and more — with a clear winner in each. For the broader landscape, see our companion guide to AI prototyping tools for product managers, and for a deeper look at Lovable specifically, read our Lovable review for product managers. If you're also evaluating v0, our Lovable vs v0 comparison covers that head-to-head.
A category-by-category breakdown with a clear winner in each row. Ties mean both tools are equally strong — the choice depends on your specific use case.
| Category | Figma Make | Lovable | Winner |
|---|---|---|---|
| Starting price | Included in Figma plans (Professional ~$15/seat/mo) | $25/mo (Pro plan) | Figma Make |
| Free tier | Yes — limited generation credits on free Figma plan | Yes — limited daily credits | Tie |
| Output type | Figma-native design files and React prototypes from design context | Full-stack web apps with auth, database, and APIs | Tie |
| Stakeholder demo prototyping | Excels — generates polished, brand-consistent UI directly in Figma where your design system lives. Stakeholders see a real design, not a standalone app. | Good — generates a working clickable app, but output lives outside Figma and may not match your design system without manual sync. | Figma Make |
| Iteration speed | Fast for design iteration — prompt-to-UI in seconds, edit visually in Figma. Slower for functional changes (limited logic). | Fast for functional iteration — describe a change and the full app updates. Visual edits available but less granular than Figma. | Tie |
| Team collaboration | Excellent — lives inside Figma. Designers, PMs, and engineers collaborate on the same file in real time. Comments, branching, and design system all built in. | Limited — collaboration is per-project in Lovable's own environment. No real-time multi-user editing of the same project. | Figma Make |
| Backend & data | None — Figma Make generates UI and prototypes, not working backends. You'll need a separate tool for data, auth, and APIs. | Built-in Supabase integration — auth, database, storage, and APIs wired up automatically from your prompt. | Lovable |
| Design system fidelity | Excellent — uses your existing Figma components, variables, and styles. Generated UI matches your design system by default. | Poor — generates UI from scratch with generic components. No access to your Figma design system or brand tokens. | Figma Make |
| Full-app complexity | Limited — best for screens, flows, and prototypes. Not designed to build production-grade multi-page apps with business logic. | Strong — handles multi-page SaaS workflows with auth, data persistence, and integrations in one generation pass. | Lovable |
| Code export & handoff | Exports React + Tailwind code from Figma Make; dev mode handoff is built into Figma. Code is clean but limited to UI. | GitHub sync on paid plans; full Next.js-style codebase. More complete but less portable than standard Figma dev mode output. | Tie |
| Best for PMs | PMs who need stakeholder-ready demos that match the design system and live where the team already works. | PMs who need a functional, clickable prototype with login and data — closer to a real product experience. | Tie |
| Learning curve | Low if you already use Figma; moderate if you don't. Leverages existing Figma knowledge. | Low — natural language prompting, no design or code knowledge needed. | Lovable |
The comparison table gives you the summary. Here's the reasoning behind each winner — and where the nuance matters for PMs.
Figma Make is purpose-built for this. You describe a feature or screen, and it generates a polished, interactive UI directly in your Figma file — using your existing components, colors, and typography. The result is a stakeholder demo that looks like your actual product, not a generic mockup. You can iterate visually (drag, resize, swap components) without re-prompting, and the demo lives in the same Figma file your designer is already working in. When the meeting's over, the design is ready for engineering handoff without exporting to a separate tool.
Lovable generates a working clickable app from your prompt — which is impressive for functional demos. Login flows, data tables, and multi-step workflows all work. But the output lives in Lovable's environment, not Figma. The UI uses generic components that won't match your brand or design system. For a PM who needs a demo that looks like the real product, Lovable requires significant manual styling or a separate design pass.
Figma Make wins because stakeholder demos need to look like your product — and that means your design system, not generic components.
Figma Make is fast for design iteration: prompt a screen, see it rendered in seconds, then edit visually in Figma's canvas. Changing a button color, swapping a component, or adjusting layout is a click — no re-prompting needed. However, if you need to change the underlying logic (e.g., what happens when a user clicks submit), Figma Make's prototyping capabilities are more limited. You're iterating on the visual layer, not the functional one.
Lovable is fast for functional iteration: describe a change in natural language and the entire app updates — UI, logic, and data flow. “Add a filter dropdown to the dashboard” produces a working filter, not just a visual one. But visual fine-tuning (pixel-perfect spacing, exact colors) requires re-prompting or manual code editing, which is slower than Figma's direct manipulation.
It's a tie — Figma Make is faster for visual iteration, Lovable is faster for functional iteration. Pick based on what your demo needs.
This is Figma Make's biggest structural advantage. It lives inside Figma, which means your entire team — designers, PMs, engineers, and stakeholders — is already there. Real-time multiplayer editing, comments, branching, and a shared design system are all built in. A PM can generate a prototype in Figma Make, tag a designer to refine it, and hand off to engineering in dev mode — all in the same file, with full version history. No tool switching, no export/import, no “where does the latest version live?”
Lovable's collaboration model is per-project within its own platform. Multiple people can view a project, but there's no real-time co-editing equivalent to Figma's multiplayer canvas. For a solo PM building a prototype, this is fine. For a team where the designer needs to refine the PM's generated output, it creates a workflow gap: the PM generates in Lovable, the designer needs to recreate or import it in Figma, and the two versions diverge.
Figma Make wins on collaboration because it lives where your team already works — no tool switching, no version divergence.
Figma Make doesn't do backends. It generates UI and interactive prototypes, but there's no database, no auth, no API integration. If your stakeholder demo needs to show a working login, real data in a table, or a multi-step workflow that persists state, Figma Make can simulate the visual flow but not the actual functionality. You'd need a separate tool (or a developer) to wire up the backend.
This is Lovable's core advantage. Its Supabase integration means a PM can prompt “build a dashboard where users log in, see their team's metrics, and filter by date range” — and get a working app with auth, a Postgres database, and live data filtering. For demos that need to feel like a real product (not just a clickable mockup), Lovable handles the plumbing that PMs can't easily do themselves.
Lovable wins because it handles backend, auth, and data — the complexity that kills most PM prototypes built in design tools.
Figma Make is included in Figma's existing plans — Professional at ~$15/seat/mo already includes Make generation credits. If your team already uses Figma (and most product teams do), there's no additional subscription to start using Figma Make. You're paying for Figma and getting AI generation as a bonus feature. This makes it the most cost-effective option for teams already in the Figma ecosystem.
Lovable's Pro plan is $25/mo as a standalone subscription, separate from any design tool. For a PM who needs full-stack prototyping and doesn't already use Figma, $25/mo is reasonable for what you get. But if your team already pays for Figma, adding Lovable on top means paying for two tools — and the overlap in UI generation capability makes that harder to justify.
Figma Make wins on value because it's included in a plan most PM teams already pay for — no additional subscription needed.
Figma Make generates UI using your existing Figma components, variables, and styles. When it creates a button, it uses your button component — your colors, your typography, your spacing tokens. This means the generated output is immediately on-brand and consistent with your design system. For PMs who need prototypes that look like the real product (not a generic approximation), this is the difference between a convincing demo and one that raises questions about “why does this look different?”
Lovable generates UI from scratch with its own component library. The output looks professional but generic — it won't match your brand colors, typography, or component patterns without significant manual customization. For early-stage prototyping where visual fidelity doesn't matter, this is fine. For stakeholder demos where the audience includes design-conscious stakeholders, it's a meaningful gap.
Figma Make wins on design system fidelity because it generates UI from your actual components — not generic ones.
Both tools offer free tiers — we recommend trying both before committing. For the full list of 12 AI prototyping tools including Bolt.new, Replit Agent, Cursor, and v0, see our AI prototyping tools for product managers guide. If Lovable is your pick, also check our Lovable vs v0 comparison and Lovable review for a deeper evaluation.
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It depends on what you're prototyping. If you need stakeholder-ready demos that match your design system and live where your team already collaborates, Figma Make is the stronger choice — it generates UI from your existing Figma components and requires no additional subscription. If you need a functional, clickable prototype with login, database, and working data — closer to a real product experience — Lovable is better because its Supabase integration handles the backend complexity that PMs can't easily do themselves.
Figma Make is included in Figma's existing plans. If your team already uses Figma Professional (~$15/seat/mo), you get Figma Make generation credits as part of that plan — no separate subscription. Figma's free plan also includes limited generation credits. This makes Figma Make the most cost-effective AI prototyping option for teams already in the Figma ecosystem.
No. Figma Make generates UI and interactive prototypes — screens, flows, and clickable mockups — but it doesn't create backends, databases, authentication, or API integrations. If your prototype needs working login, real data, or persistent state, you need Lovable (which handles backend via Supabase) or a developer to wire up the backend separately.
Not directly. Lovable generates UI from its own component library, not your Figma design system. The output looks professional but generic — it won't use your brand colors, typography, or component patterns without manual customization. If design system fidelity matters for your demo, Figma Make is the better choice because it generates UI from your existing Figma components.
Many PMs do. Use Figma Make for stakeholder demos and design reviews where visual fidelity and team collaboration matter — the output is on-brand and lives in Figma. Use Lovable for functional prototypes where you need working login, data, and multi-step workflows that feel like a real product. They solve different problems: Figma Make is your design-accurate demo tool, Lovable is your functional prototype tool. For more tools in this space, see our guide to AI prototyping tools for product managers.
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