Every few weeks, a founder asks some version of the same question: should this be built on Bubble, or should it be custom code from the start? Usually they've already picked a side before asking — they're looking for someone to confirm it. The honest answer is that the right tool depends on which question you're actually trying to answer, and most people asking "Bubble or custom code" haven't separated those two questions yet.

I spent a year doing production Bubble development at a no-code agency in the UK before founding SigmaticAI. Since then I've shipped on both Bubble and on Next.js/React/Supabase, often for the same category of client at different stages of the same company. Neither tool is the "serious" one and neither is the "shortcut." They answer different questions, and the mistake is picking the tool before you've picked the question.

The Two Questions

Almost every "should I use no-code or custom code" decision collapses into one of these:

  • "Does anyone want this?" — You have a hypothesis about a product, and you need real users interacting with a real thing to find out if it's true. Speed to a working product matters more than almost anything else, including how it's built.
  • "Can this scale on my terms?" — You already know people want this. The question now is whether the platform can carry the load, the customizations, and the ownership structure you need as you grow.

If you're answering the first question, Bubble usually wins. If you're answering the second, custom code usually avoids a rebuild you'd otherwise be forced into later. The trouble is that these two questions get asked in the same sentence — "I want to validate fast but I also don't want to rebuild everything in six months" — as if you can optimize for both at once from day one. You mostly can't. You can, however, be deliberate about which one you're optimizing for right now, and leave the door open to switch later.

Why Bubble Wins the First Question

When the core uncertainty is whether anyone wants what you're building, the fastest path to a real answer beats almost every other consideration. Bubble lets you build a working, multi-user, database-backed web app — not a prototype, an actual product people can sign up for and use — in weeks instead of months. You get real workflows, real user accounts, real integrations with Stripe or your CRM or an external API, without writing a backend from scratch.

The pushback I hear most is some version of "but no-code doesn't scale" or "we'll just have to rebuild it anyway." Both of those are true often enough to be worth taking seriously, and false often enough that they shouldn't be treated as a rule. Bubble apps run at real scale, serving real paying users, well past the point most people assume they'll fall over. The apps that struggle almost always trace the problem back to one thing: a data structure that was never designed, just accumulated. Fields bolted onto a data type because a feature needed them that week. Workflows duplicated instead of abstracted because it was faster in the moment. No plan for how the data model would hold up once there were ten times as many users and five times as many features.

That's not a Bubble problem. That's what happens to any codebase, on any stack, when nobody designs the data layer on purpose. It just becomes visible sooner in Bubble because the whole point of the tool is that you move fast — which means you also accumulate technical debt fast if nobody is watching for it. A Bubble app with a data model that was actually designed, not just grown, will comfortably serve thousands of users. The tool was never the ceiling. The discipline around it was.

Why Custom Code Wins the Second Question

Once you know people want the thing — you have users, you have retention, you have a business case, not just a hypothesis — the calculus changes. Now the question isn't "how fast can I find out," it's "what does this need to look like in eighteen months, and does the current platform get me there without a rewrite."

Custom code on something like Next.js, React, and Supabase gives you a few things Bubble structurally can't:

  • Full ownership of the codebase. No platform dependency, no vendor pricing changes, no ceiling on what the architecture can do because it has to fit inside someone else's visual builder.
  • Performance ceiling that's yours to raise. You can optimize queries, cache aggressively, and restructure the backend around exactly how your app is actually used — not how a general-purpose no-code runtime handles the average case.
  • Integration depth. Complex, custom integrations — proprietary APIs, non-standard auth flows, real-time systems, anything outside what a plugin ecosystem anticipated — are usually easier to build correctly in code than to force through a visual workflow editor.
  • Hiring and handover. A much larger pool of engineers can pick up a Next.js codebase than a Bubble app, which matters once you're building a team around the product rather than running it solo.

None of that matters much before you know the product works. It matters enormously after.

The Migration Path Nobody Talks About

The framing that "you build on Bubble, then throw it away and rebuild in code" is more pessimistic than reality usually is. The more common and more sensible path is partial: you validate on Bubble, and once specific pieces of the product prove they need to be custom — a performance-critical workflow, a feature Bubble's plugin ecosystem genuinely can't support, a part of the system that needs to scale independently of the rest — you move just those pieces. The parts that are working fine on Bubble keep running on Bubble. You're not rebuilding the product; you're graduating the parts of it that have outgrown the platform, one at a time, backed by real usage data telling you which parts those actually are.

This is a very different exercise than a ground-up rewrite, and it's usually cheaper and lower-risk, because you're making each decision with evidence instead of guessing upfront which parts will need to scale.

A Few Questions Worth Asking Yourself

Before you default to either answer, it's worth being honest about where you actually are:

  • Do you know, with real evidence, that people want this? If the honest answer is "I think so" rather than "yes, here's the data," you're still answering the first question, and speed should win.
  • Is there a specific, concrete reason custom code is required right now — a compliance requirement, a performance profile, an integration Bubble's ecosystem can't reach — or is it a general feeling that custom code is more "real"? The second reason isn't a reason.
  • If you build on Bubble first, what would tell you it's time to move a piece to custom code? If you can't answer that, you probably haven't thought hard enough about what "scale" actually means for your specific product yet.
  • Do you have the runway to spend three to six extra months validating in custom code before you learn what Bubble would have told you in three weeks? For most early-stage products, the answer is no, and that alone settles the question.

Where This Leaves You

There isn't a wrong tool here, only a wrong match between the tool and the question you're actually asking. Bubble, built with a properly designed data model, will take a product from idea to thousands of real users. Custom code, built once you know what you're scaling, gives you the ownership and performance ceiling that no-code structurally can't. The expensive mistake isn't picking the "wrong" platform — it's picking a platform before you've been honest about which of the two questions you're actually trying to answer.