CheqqThe Cheqq alternative to Lovable
An app is the visible part. Cheqq builds the rest of it too.
Lovable generates a codebase you own, and does it well. Cheqq publishes an app onto records that already exist, with the workflows behind it and a permission filter the server enforces — so what you get is a system, not a front end.
What Lovable is forAn AI that writes a real application. You describe a product, Lovable generates a React and Supabase codebase, syncs it to GitHub, and hands you something a developer can take over. If code ownership is the point, that is exactly the right shape.
An AI that builds an operation. The app comes with the collections underneath it, the automations that keep it moving, the documents it produces and an agent that maintains all of it — and nobody has to read a repository to change something.
Why people start looking
Nothing here is a knock on Lovable. These are the points at which one product stops being the right shape for the job, whichever product it is.
The app needs data that already exists
Most internal tools are a window onto records you already keep. Generating a fresh schema means the app starts life disconnected from everything else you run.
Permissions are the risky part
A generated app is as safe as the access rules in the generated code, which is where mistakes are quiet and expensive. That should not be something you audit by reading a diff.
Shipping it is not the end
Then it needs the nightly job, the reminder email, the export for accounts. None of that is front-end work, and it is most of what makes the tool useful.
Changing it means going back to the code
Once the repository exists, every change is a code change — which is fine with a developer and a real obstacle without one.
Cheqq vs Lovable
Row by row, in plain terms. Where Lovable is the stronger answer, the row says so.
LovableA built-in editor with a file tree, syntax highlighting for HTML, CSS, JavaScript and JSON, and a console — so you can read and change the source directly. What you cannot do is take the repository away.
A real codebase synced to GitHub, which you or any developer can clone, host anywhere and own outright.
Reshape a generated app by describing the change, or edit its files by hand when you want exact control.
Full control of the interface, in a React project with the whole ecosystem available to it.
Your existing collections, with relations, formulas and AI-filled columns. The app is a view onto records the rest of your workspace already uses.
A database generated for the app.
A binding lists the fields the app may read or write, and the server rejects anything outside it. Default-deny, and auditable in one screen.
Whatever the generated access rules implement.
Scheduled jobs, inbound email, approvals with escalation and generated documents, all in the same workspace as the app.
You add them as code, or connect other services.
Decks, sheets and reports generated from the same records as the app — edited in place, versioned with a diff, exported as real Office files, published to a link you control.
Out of scope; what you build is a web app.
Describe the change, or open the editor and make it yourself. Checkpoints let you restore or fork any earlier state, and a rollback is one click.
Prompt again, or edit the code — powerful, and developer-shaped.
Based on each product's publicly documented capabilities. Both move fast — if something here is out of date, tell us and we will fix it.
What you would build instead
Not features to evaluate — sentences you could type on your first afternoon, and what comes back.
customer_id = session.user_idWrite the permissions down, not into the code.
The app is bound to a named list of fields. Anything outside it is refused by the server, whatever the app asks for — so the security review is one screen rather than a code read.
The app plus the operation behind it.
The nightly sync, the reminder that goes out at day three, the monthly export finance asks for. Described in the same place as the app, running against the same records.
Every version kept, rollback in a click.
Publish, look at it, put it back if it was wrong. The deploy history is part of the product rather than something you set up around it.
When to stay with Lovable
We would rather you picked the right tool than picked ours. These are the cases where Lovable is the better answer.
- You want the repositoryYou can read and edit an app's source inside Cheqq, but you cannot clone it. If the outcome you need is a repo you can hand to any developer and host anywhere, Lovable gives you that.
- You are building a product, not a toolA consumer-facing app with a bespoke interface and its own roadmap wants a real codebase behind it.
- You have engineersWith a developer on hand, generated code is a fast start rather than a maintenance liability.
- The design is the pointPixel-level control of every screen is what owning the front-end code buys you.
Moving across, gradually
You do not have to switch in one go — most people run both for a while and let the Lovable side shrink.
Start from the data, not the screen
Import the records the app was going to sit on. Once they are collections, the app is a view rather than a new island.
Describe the app onto them
Live at its own address in minutes, with the binding written down and the fields it may touch listed explicitly.
Add the operation behind it
The jobs, the emails and the reports that make the app worth having — described in the same workspace, against the same records.
Switching from Lovable
Can I see and edit the code?
Yes. Every app has an editor in the product — a file tree, syntax highlighting for HTML, CSS, JavaScript and JSON, and a console — so you can read the source and change it by hand rather than only by prompting. What Cheqq does not give you is a repository to clone and host elsewhere; if that is the requirement, Lovable is the better fit.
Can Cheqq apps look bespoke?
They can carry your brand, be reshaped by describing changes, be edited file by file when you want exact control, and run on your own domain. For a consumer product with its own architecture and roadmap, a codebase you own is still the honest answer.
How is the security model different?
A Cheqq app never talks to the database directly. It is bound to a list of fields, with a filter the server applies to every request, so an app cannot read something you did not list even if it asks. It is default-deny and readable on one screen.
Can I connect an app to data I already have?
That is the normal case. Apps are published onto existing collections, so the portal, the workflows and the reports are all looking at the same records rather than at copies.
Comparing something else?
vs SmartSuite
vs NocoDB
vs Teable
vs Excel
vs Google SheetsShip the system, not the screen
Describe the app and the operation behind it in the same sentence. Free to start.
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