Rebuild · Bubble

Bubble at scale: patch or rebuild?

If you run a real business on Bubble, you’ve probably already been told to “rebuild properly” by someone who couldn’t say what your customers would get for it. This page takes the opposite route: it starts from your numbers, gives you a ten-question self-assessment that’s built to say “stay on Bubble” when that’s true, and only argues for a rebuild where the maths argues for it.

Take the ten-question assessment Book a 20-minute call →
Sound familiar?

Their words, not mine.

Four founders and builders running real businesses on Bubble, in public, between May 4 and August 1, 2026. The quotes are theirs; the dates and sources are in the attributions.

If your version sounds like these:

  • The workload-unit line on your Bubble bill grows faster than your customer count.
  • Feature development has slowed to a crawl: things that took a day now take a week of working around the platform.
  • An acquirer, investor or first engineering hire asked to look at the system, and there’s nothing they can audit.
  • Your compliance surface grew up: patient data, payments, enterprise customers with questionnaires.
  • You keep asking “when should I pivot?” and every answer you can find comes from someone selling one side.

“A developer quoted £45K to rebuild my bubble app. my customers dont know what bubble is. they dont care. what a developer would critique: 2.8 second load time. what the developer doesnt ask about: 3.1% monthly churn. 47 NPS.”

founder with £11.2K MRR and 230 customers, r/nocode, May 22, 2026

“every developer tells me to ‘rebuild properly.’ heres why i havent. £9.4K MRR. 180 paying customers. the product works.”

founder, r/nocode, May 17, 2026

“When should I pivot to a custom coded solution?” — and, from the same thread: “You will also get a biased answer since all the people on the forum are still currently advocating and using Bubble.”

forum.bubble.io, August 1, 2026

“It was honestly a masterpiece for the first 6 months. But now they are doing like 5x the volume and the whole thing is crumbling under the weight of its own api calls. Workflows keep timing out, the overage charges are insane, and the client is getting annoyed that the mobile view takes 8 seconds to load a simple route update.”

builder running a Bubble + Make dispatch tool for a freight company, r/nocode, May 4, 2026
Why this happens

Bubble didn’t get worse. Your app got successful.

Two mechanisms decide this, and only one of them is about cost.

Bubble is the most mature platform in this category, and its own 2026 direction confirms who it now serves: the company has explicitly shifted toward complex, full-stack applications, leaving simpler use cases to the AI builders (ProductGrowth’s Bubble review, 2026). If you’re still on Bubble with a working business, you’re exactly the complexity level the platform is betting on. That cuts both ways.

The cost mechanism is structural. Bubble prices compute in workload units, metered per action across your workflows (Bubble’s own pricing documentation, 2026). At MVP scale that’s invisible. At 5x volume, every inefficient search, every workflow that touches more rows than it needs, every repeated calculation bills you again, and the meter compounds precisely as your usage grows. The freight-tool story above isn’t an outlier pattern: timeouts and overage charges arriving together is what WU pressure looks like from the inside.

The second mechanism matters more for a funded product: opacity to outsiders. A Bubble app’s logic lives in the editor, not in code a third party can review. That’s fine until the people who need to review it show up: an acquirer’s technical due diligence, an enterprise customer’s security team, or the senior engineer you’re trying to hire. The forum poster asking “when should I pivot?” got honest replies and one honest warning: everyone still on the platform has a reason to say stay. My answer to the same question is the assessment below, and it’s allowed to say stay too.

Patch or rebuild

Ten questions. An honest answer.

This assessment is built to tell a working Bubble business “keep optimising” when that’s the truth. No email required; the result shows immediately.

01 Where does your traffic come from?

Your Bubble app runs from one place, so the further away a customer sits, the longer every click takes to make the round trip. If your paying customers are mostly in one country this barely matters; if you are selling into Australia from a European cluster, they feel a delay your local users never report.

Global latency on Bubble is real but rarely the deciding factor; weigh it, don't panic over it.

02 How big are the pieces of data you handle?

This is about how much your app moves in one go. A booking, an invoice line, a chat message is a small record. A 40MB video upload, a PDF export, or a page that pulls 5,000 rows into one list is a large one. Bubble charges you in workload units for the moving, so the size of what you shift is a line on your bill, not just a speed question.

Heavy lists rendered client-side are a classic WU and speed sink, and often fixable in place.

03 Does your data need to be queried later, or used once and dropped?

Some data you save because you will genuinely search it again later: customers, orders, invoices, anything a dashboard filters and sorts. Other data is written once and never read again, like webhook payloads or status pings from an integration. Data you keep querying makes Bubble search it over and over, and each of those searches is metered; data used once is mostly a matter of not storing it in the first place.

Workflows that store what they should discard inflate both database and WU costs. Fixable.

04 Is your app read-heavy or write-heavy?

Reading is looking things up: opening a dashboard, searching a list, viewing a record. Writing is changing them: submitting a form, running a workflow that updates 200 rows, importing a file. Most SaaS products are mostly reading, with occasional writes. If your app is closer to a logging or dispatch tool where something is saved every few seconds, you are write-heavy.

Read-heavy apps respond well to restructured searches; write-heavy loads press harder on the platform's ceilings.

05 What genuinely needs to be real-time?

Real-time means the screen has to update by itself, without anyone refreshing: a live dispatch board, a shared inbox, a seat that must not be double-booked. Note the word genuinely. A number that could refresh every few minutes, or when the user reloads, is not real-time, even if it currently updates instantly.

Real-time for many concurrent users is where Bubble's model gets expensive fastest.

06 Is the wall a hard platform limit, or the shape of your workflows?

Two very different walls feel identical from the inside. A shape problem means your app is asking Bubble to do more work than it needs to, and tidying the workflows makes the pain go away for a long time. A hard limit means you are asking for something Bubble does not do at any price, or does at a price that keeps climbing with your volume: a real native mobile app, code an auditor can read, or a workload-unit bill that grows faster than your MRR. If you have never opened your workflow usage metrics, answer that you have not profiled them, because that is the honest answer and the cheap one.

The central question. Unprofiled workflows are the most common "wall" and the cheapest to fix. WU costs that compound with growth are structural.

07 Where does your business logic live?

Business logic is the set of rules that make your product yours: how you price, when you charge, what triggers a renewal, who is allowed to see what. On Bubble those rules are usually drawn as workflows inside the editor. The question is whether any of that lives somewhere you control independently, such as your own API, a database you host, or logic running in a service outside Bubble.

Editor-locked logic is the real rebuild cost: a data lift is cheap, a logic rebuild is the project.

08 Is this internal glue or your product's backbone?

Internal glue is something your own team uses to get work done: an ops dashboard, an onboarding tracker, a tool that stitches two systems together. The backbone is the thing customers log into and pay for, the app your MRR actually comes from. Nobody audits your internal glue; your revenue product eventually gets looked at by someone from the outside.

Internal tools on Bubble are usually fine indefinitely. Backbone products face the outsider-review problem sooner or later.

09 What's your compliance surface?

Your compliance surface is everything about your app that someone else has the right to inspect: health records, card payments, personal data under GDPR, or an enterprise buyer who sends a fifty-question security review before they will sign. If none of that touches your app, this question costs you nothing. If it does, the reviewer will ask to see how the system works, and Bubble keeps that inside its editor.

Regulated verticals hit Bubble's audit opacity hardest; this is the question that most often flips a "stay" to a "go".

10 Who owns verification?

Verification is how you find out a change broke something before your customers do. Clicking around the app after every edit is the normal answer on Bubble, and it works until the app is big enough that nobody can click through all of it. The alternative is tests that run on their own plus monitoring that tells you a workflow started failing, rather than a customer telling you.

Bubble apps can be tested seriously; most aren't. Whoever owns verification owns your uptime.

How to read your answers

Question 6 weighs heaviest: workflow-shape answers pull toward patch, structural answers pull toward rebuild. Questions 7 and 9 amplify: editor-locked logic raises the price of leaving (so decide before it grows further), and a compliance surface raises the price of staying. And question zero, the one only you can answer: is development velocity still fast enough to keep your roadmap promises? When the answer turns no, that's the timing signal the forum can't give you.

The rebuild

Not a code port. That’s the point.

What stays: everything your customers can see and everything your numbers validated. The flows, the pricing logic, the product decisions your churn and NPS already voted on.

What changes: the foundation, and the ceiling. A stack sized for your actual load with costs that track usage instead of a workload meter. Logic in reviewable code under version control, so the next diligence process reads the system instead of guessing at it. Real testing between change and production. And the 15% of your roadmap you couldn’t build on the platform becomes buildable.

What comes back is more than what broke. The work runs product, business, design and tech together, so the rebuild also sharpens positioning and gives the design a senior pass. The proof lands in your dashboard, not mine: churn down where slow paths were losing customers, support tickets down, features shipping weekly again, and a company an acquirer can audit. A £45K code port can’t claim that. This isn’t one.

How the work runs → The engagement and pricing →
Who's behind this

Henrik Hallengren — 20+ years across product, tech, strategy and design; brands from Google to Mondelēz, worked with across roles and projects; production systems like the multi-tenant AI platform autoply built solo and running today. Independent: no platform ties, no referral fees.

The systems →About Henrik →
Next step

Start with the diagnosis.

Diagnosis: €7,500, fixed. One week.

A written read on your Bubble app in your metrics: what optimisation still buys you, what only a rebuild fixes, and what both cost. Useful even if the answer is “stay”.

Book a 20-minute call