Source: https://www.hype-stack.dev/stacks/base44-vs-lovable

# Base44 vs Lovable: Which to Pick, and When to Leave Both

> Both build you a working app in minutes. The question is who owns it on the day you want to leave.

Both products can turn a sentence into a deployed web app. If you are comparing base44 vs lovable, the pricing pages
alone will not settle it because the numbers look similar and the meters measure different things. One useful way to
compare them is to ask what code, data, and infrastructure you control after the app is deployed.

The usual version of this comparison says Base44 bundles its own backend while Lovable connects Supabase, so Lovable is
the portable one. That was true and it is now out of date. Since Lovable Cloud shipped, new Lovable projects get a
built-in backend by default: still Supabase's open-source stack underneath, but an instance Lovable owns. It does not
appear in your Supabase dashboard, you get no database URL and no service role key, and Lovable's own docs say there is
no migration from Cloud to a Supabase project you own.

You can still connect your own Supabase project instead, and that option is fully supported. It is a choice you have to
make deliberately, at the start, before you have data. Make it later and the docs tell you to recreate the schema and
move the rows by hand.

The two products are therefore closer than older comparisons may suggest. Backend choice, data access, and migration
options deserve as much attention as the plan price.

## What both get right

Both products can produce a first version quickly. You describe the app, and a few minutes later there can be a URL with
a login screen and a database behind it, without manually configuring a connection string or hosting region. That can be
useful for validating an idea, showing a stakeholder something clickable, or building a small internal tool.

Both also handle setup tasks that can slow down a new project, including deployment, HTTPS, database provisioning, and
file uploads.

## Where they actually differ

|  | Base44 | Lovable | Hype Stack |
| --- | --- | --- | --- |
| Database | Bundled. Nothing to connect, nothing to choose. | Lovable Cloud by default: Supabase's stack, on an instance Lovable owns. Bring your own Supabase project instead if you choose it up front. | Your own Postgres, reached through Prisma and Kysely. |
| Time to first version | Minutes, from a sentence. | Minutes, from a sentence. | Manual setup: run the CLI, provision Postgres, configure the environment, then start editing code. |
| Cost while building | Message credits, spent per instruction. | Build credits, spent per instruction. | One payment per pack, plus hosting and third-party services. |
| Cost once live | Integration credits, spent by your users' actions. | Cloud and AI usage, billed on top of the plan. | Your hosting bill, whatever you negotiated it to be. |
| Leaving | GitHub export from the Builder plan, but the app assumes their platform. | Depends entirely on which backend you picked on day one. Your own Supabase project is portable. Cloud has no supported migration out. | No template platform to leave. The code was in your repository from the start. |

[See what a template includes](/templates)

If you expect to stay on the platform, Base44's bundling is a feature: fewer moving parts, one bill, one support
channel. If you suspect you will eventually want out, Lovable can still give you that, but only if you connect your own
Supabase project when you create the app. That early choice materially affects the later migration path.

## The credit model, and when it stops being cheap

On both platforms, credits are charged for instructions rather than successful results. If an instruction needs
correction, the follow-up instruction uses more credits.

That model can be economical while the app is small and instructions produce useful results. Costs become less
predictable when a bug is difficult to describe or the relevant code is unfamiliar, because each revision is metered.

Then there is the second meter. Base44 charges integration credits for actions your live app performs, and its docs are
clear that unused monthly credits expire rather than rolling over. Lovable meters Cloud and AI usage, covered first by a
grant of 20 Cloud and 4 AI credits a month that its own documentation calls temporary and subject to change, and then by
your general credits. Once the grant runs out, user activity can draw from the same general credit pool used for
building.

Treat every number below as a snapshot rather than a quote. Both companies have repriced more than once, and the
structure is the part worth comparing anyway: two meters, one that stops when you stop building and one that does not.

**Credits are charged per instruction, including instructions that need follow-up.**

- **Two bills** one charged per instruction while you build, one charged by your users once the app is live, and only the first one ends
- **Top-ups** additional credits can be purchased after the plan allowance is used, so repeated corrections add to the build cost
- **Plan tiers** higher tiers include more build credits; required usage depends partly on how many follow-up instructions the project needs

## Base44 vs Lovable pricing, plan by plan

The numbers as of October 2026. Both companies reprice a few times a year, so read this as the shape of each ladder and
confirm the figures on their own pricing pages before you commit to either.

|  | Base44 | Lovable |
| --- | --- | --- |
| Free tier | A handful of message credits a day, plus a small monthly cap. Enough to see it work, not to ship. | 5 credits a day, capped at 30 a month. Same verdict. |
| Entry tier | Starter, $20 a month or $16 on annual: 100 message credits, 2,000 integration credits, unlimited apps. | Pro, $25 a month or about $21 on annual: 100 credits, spent on building and, after the grant, on Cloud and AI usage too. |
| The tier you actually need | Builder, $50 or $40 on annual: 250 message credits, 10,000 integration credits. First tier with GitHub export, backend functions, and a choice of AI model. | Still Pro, one rung up the ladder: 200 credits for $50, 400 for $100, 800 for $200, and larger tiers above that. The plan does not change, only the allowance. |
| Above that | Pro at $100 for 500 message and 20,000 integration credits, then Elite at $200 for high-traffic apps. | Business from $50 at the same 100 credits. The extra money buys team controls: SSO, restricted projects, per-member limits, data kept out of training. |
| What a retry costs | One message credit, whatever the outcome. | One credit or more, weighted by how much the model had to do. |

[What a template costs instead](/pricing)

At the entry tier the two are close: $20 against $25 for roughly a hundred build attempts. The gap opens after launch.
On Base44, user activity draws on a separate integration pool that resets every month, so a busy app costs more but your
build budget survives. On Lovable, once the monthly Cloud grant is gone, user activity and your next build attempt draw
from the same credits. Which one is cheaper depends on whether the app is busy or you are.

Business credits on Lovable cost about twice what Pro credits do, so a team that does not need SSO is usually better off
on a larger Pro tier. Base44's annual discount is a flat 20% on every paid plan.

**How much do you already know about what you are building?**

- **A codebase:** Pick this when you can already specify the work precisely.
  - Development attempts are not metered by the template vendor
  - One payment per pack, plus your hosting and any third-party service costs
  - The source was in your repository from the first commit
- **Base44:** Pick it when the app will live where it was born.
  - The bundled backend reduces the infrastructure you need to configure
  - One bill, one support channel, the fewest decisions of the three
  - GitHub export arrives on the Builder plan, but the app still assumes their platform
- **Lovable:** Pick it for the same speed, and connect your own Supabase project on day one.
  - Do that and your data sits in a Postgres you own, which other tools already understand
  - Take the default Cloud backend instead and there is no supported route out of it later
  - Cloud and AI usage is metered, and after the monthly grant it draws from general credits

_Each option fits a different operating model. Credit pricing can suit short experiments, while a codebase avoids per-instruction charges for ongoing development._

## The part that is hard to undo

Credits are visible on the invoice. Platform dependence is less visible and may matter more if you later need to move
the application.

Moving hosting or frameworks can be possible when the application uses documented, accessible infrastructure. Leaving a
platform is harder when it controls the runtime, database, auth, and deployment pipeline together, because migration
then involves several coupled parts.

That coupling may be acceptable for a prototype or an app expected to remain on the platform. For a business-critical
system, price changes, plan changes, missing capabilities, and provider incidents become operational dependencies. If
the exported application cannot run independently, leaving may require a partial or full rewrite.

- **Export means ownership:** There is a GitHub export, so the code is mine and I can leave whenever.
  **Export means files:** Export hands you files. Portability is whether those files run anywhere else, and an app written against a bundled database, auth layer, and integration runtime mostly does not. Lovable's own docs are the clearest evidence: code download is on the paid plans, and migrating off Cloud still is not supported.
- **Just an internal tool:** It is only an internal tool, so lock-in does not really matter here.
  **Usage can grow:** An internal tool can become operationally important as more people and processes depend on it. Reassess portability when its role expands.
- **Migrate later:** We will migrate later, once it is worth the effort.
  **Later costs more:** Migration usually becomes more involved after users, data, and integrations depend on the platform. If portability is a likely requirement, plan for it before those dependencies grow.

_Starting on a platform can be sensible. Check the export and migration paths before the application becomes operationally important._

## Where Hype Stack lands

Hype Stack takes a different approach: a slower initial setup in exchange for direct control of the repository and
infrastructure.

**AI-assisted development in your repository**

- **Bring the AI editor you already like** Claude Code, Cursor, Copilot, or another coding agent can edit the repository directly. Switching tools does not require moving the application's runtime or data, though each tool has its own pricing and setup.
- **Deploy it where you want, how you want** Vercel, Fly, Railway, a VPS, or an existing cluster can host the app. Postgres can come from Neon, Supabase, or your own container. The code is not tied to one hosting company, although moving production infrastructure still requires deployment and data-migration work.
- **No supported-features list to check against** You can add WebSockets, background jobs, a queue, another service, or a different model without waiting for a platform feature. You are also responsible for implementing and operating those additions.

The third option is below with its pack list and running screens. It requires more setup, but the application code and
infrastructure choices remain under your control.



If Lovable is the one you are leaning towards, the two pages that go deeper are
[Bolt vs Lovable](/stacks/bolt-vs-lovable) and [v0 vs Lovable](/stacks/v0-vs-lovable), and the move off a builder is
covered in [Lovable Alternative](/stacks/lovable-alternative).