Bubble vs Lovable vs Custom Code for a SaaS MVP

Choose Bubble if nobody on the team codes and you want a visual builder with hosting and a database included, accepting that the app lives on Bubble. Choose Lovable if you want an AI to generate real React code you can sync to GitHub and take elsewhere. Choose custom code when permissions, integrations, performance or buyer security questions matter more than launch speed.

These three are often compared as if they were the same kind of thing. They are not. Bubble is a visual no-code platform: you draw pages and workflows, and Bubble runs them. Lovable is an AI app builder: you describe what you want in chat, and it writes a React application, usually with a Supabase backend. Custom code means engineers write the application in a repository you own and deploy it to a cloud account you control. RAITHub builds custom software, so we have an interest here; we still recommend the first two for plenty of MVPs, and say when below.

What does each one cost in 2026?

At the start, both platforms cost far less than engineering time. The catch is that both meter usage, so cost rises with traffic or with how much you iterate.

Plan	Bubble	Lovable
Free	$0; 50K workload units a month, 1 editor, development version only	$0; 5 build credits a day, up to 30 a month
Entry paid	Starter $59 a month billed annually; 175K workload units, 1 editor, live site on a custom domain	Pro from $25 a month for 100 credits; custom domains, badge removed, Git sync
Growing team	Growth $209 a month; 250K workload units, 2 editors. Team $549 a month; 500K workload units, 5 editors	Business from $50 a month for 100 credits; adds SSO and data excluded from AI model training by default
How usage is billed	Workload units measure server resources; extra workload tiers can be bought	One credit balance covers building, hosting, the built-in backend and AI features; top-ups $15 per 50 credits on Pro, $30 on Business
Seats	Priced by editors per plan	Unlimited members on all plans; priced by credits, not seats

Sources: Bubble pricing, the Bubble manual on workload, Lovable subscription plans and Lovable plans and credits, all checked on 29 September 2026. Bubble does not publish its extra workload price on the pricing page, and Lovable's paid tiers scale from 100 to 10,000 credits a month, so check both for your expected usage.

Custom code has no platform fee, but a build cost up front and running costs after: hosting, database, email and monitoring, plus someone to maintain it. For a first estimate for your scope, use the MVP cost estimator.

What do you actually own with Bubble, Lovable or custom code?

This is the question that decides most migrations later, so answer it before you build.

• Bubble: the Bubble FAQ says you own your application design and your users' data, and you can export data as CSV or reach it through Bubble's API. But apps are built visually and run on Bubble, so there is "no traditional codebase to export"; Bubble can provide a raw JSON export of your application logic to help a migration. The FAQ also says that if Bubble ever shut down, it would release its source code under an open-source licence.
• Lovable: the GitHub integration syncs code both ways on one branch, repositories are private by default, and you can clone the code and deploy outside Lovable. The backend is a separate question. Lovable Cloud is built on Supabase's open-source foundation, and Lovable states there is no one-click migration from Cloud to your own Supabase project: you export the data and rebuild the schema yourself.
• Custom code: the repository, the database and the cloud account are yours from the start. Nothing to export, because nothing is held by a platform.

Where does each option hit its limits?

Bubble hits limits in logic and performance you cannot tune. Complex permissions, heavy data processing and unusual integrations are possible but get awkward, and because workload is metered, a busy app can cost more as it grows. You cannot add an index or rewrite a slow query the way you would in your own database.

Lovable hits limits in the parts an AI tends to get subtly wrong: access rules, database security and payment edge cases. The code works in the preview, which is not the same as being safe in production. Two earlier posts cover the common failures: Supabase's "RLS disabled in public" warning and Lovable apps exposing API keys. Iteration also costs credits, and a bug the AI cannot see can burn many of them.

Custom code hits limits in time and money up front. It takes weeks rather than days to reach a first version, and it needs ongoing maintenance that someone has to pay for.

If you already have a Lovable project with a Supabase backend, this query lists every table in the public schema and whether row-level security is on. Any false row is a table that the public API key may be able to read, depending on grants:

-- Run in the Supabase SQL editor: which public tables lack row-level security?
select c.relname          as table_name,
       c.relrowsecurity   as rls_enabled
from   pg_class c
join   pg_namespace n on n.oid = c.relnamespace
where  n.nspname = 'public'
  and  c.relkind = 'r'          -- ordinary tables only
order  by c.relrowsecurity, c.relname;

Bubble vs Lovable vs custom: the decision table

Your situation	Bubble	Lovable	Custom code
Nobody on the team can read code	Strong fit: visual and self-contained	Workable for a prototype; risky for production without a reviewer	Fine if you hire a team you trust to own it
Testing demand in weeks, low budget	Strong fit	Strong fit	Usually too slow and costly for this stage
You want to own and move the code later	Weak: logic stays on Bubble	Good: GitHub sync; plan the backend move separately	Strong: yours from day one
Multi-tenant B2B with several roles	Possible; privacy rules get complex	Possible; needs careful RLS review	Strong fit
Buyers send security questionnaires	Answers depend on Bubble's platform	Answers depend on your code and Supabase setup	You control the answers
Payments beyond simple card checkout	Plugin-dependent	Generated code needs webhook and idempotency review	Strong fit
Performance tuning on large data	Limited: no direct query tuning	Possible in the database, if someone knows how	Strong fit
Cost pattern	Low start; rises with workload and editors	Low start; rises with iteration credits	High start; lower platform cost after

Can you start on Bubble or Lovable and move to custom code later?

Yes, and it is often a sensible plan, as long as you decide it at the start. The move is easier from Lovable, because you already have code: it becomes a hardening job rather than a rebuild. You exported your Lovable code to GitHub; now what? walks through that path. From Bubble, the logic has to be rebuilt, so it is a migration: export the data, rebuild the core journey in code, and move users over in stages. The wider signals for when to switch are in no-code vs custom development.

Whichever you start on, three habits make the later move cheap: export your data on a schedule, keep a written list of every workflow, email and integration the app runs, and do not let the platform hold the only copy of your users' records.

How do Lovable and AI coding tools compare more broadly?

Lovable is one of several AI builders, and the right one depends on how much you want to see the code. Lovable vs Bolt vs Cursor vs Claude Code compares them for production use, and how to build an MVP with AI explains which parts of a first version still need an engineer: the data model, access rules, payments and tests.

Why RAITHub for a custom SaaS MVP?

• Multi-tenant SaaS is familiar ground. Sundor Skin, a B2B wholesale platform RAITHub built, runs 146 PostgreSQL tables with row-level security, 88 permission codes and 12 staff roles. BlockEstate, a multi-tenant listing platform, went from start to MVP in 6 weeks.
• Hardening what a builder produced. If you start on Lovable, RAITHub can review and harden the exported code rather than rewrite it from scratch.
• A fixed quote. A free 15-minute technical audit, then a fixed written quote. You own the repository, the cloud account and the IP. See the MVP development service.

When to use a tool instead

• You are still testing demand. Bubble or Lovable will answer "does anyone want this?" faster and cheaper than a custom build.
• It is an internal tool for a small team. A hosted builder that someone else maintains is often the right long-term home.
• There is no budget for maintenance. Custom code needs updates and fixes every month. A platform does much of that for you.

Prices and platform details checked on 29 September 2026.

If you are choosing between these for a real product, book the free 15-minute technical audit and bring your feature list.

Frequently asked questions

Is Bubble or Lovable better for a SaaS MVP?

Bubble suits teams that cannot read code and want everything hosted in one visual tool. Lovable suits teams that want generated React code they can sync to GitHub and move later. For a multi-tenant SaaS with several roles, either needs careful review of access rules before real customers arrive.

How much do Bubble and Lovable cost in 2026?

Bubble's paid plans are $59, $209 and $549 a month billed annually, with 175K, 250K and 500K workload units. Lovable Pro starts at $25 a month for 100 credits and Business at $50. Both meter usage, so real cost depends on traffic and iteration.

Can I export my code from Bubble?

No. Bubble says there is no traditional codebase to export. You own your data and design, can export data as CSV or through the API, and Bubble can provide a raw JSON export of your logic to help a migration.

Do I own the code Lovable generates?

Lovable's docs say the GitHub repositories it creates are private by default and remain under your control, and you can deploy outside Lovable. The built-in Cloud backend is separate: moving it to your own Supabase project means exporting data and rebuilding the schema.

When should I move from Bubble or Lovable to custom code?

When two or three limits hit at once: costs growing faster than revenue, logic the tool cannot express well, performance you cannot tune, or buyers asking security questions you cannot answer.

Is custom code always more expensive?

Up front, yes. Over a few years the gap narrows, because there is no platform fee. What custom code buys is control and an asset you own, not necessarily a lower bill.