Bubble

Bubble development

Validate software ideas fast. We build complex web applications, marketplaces, and internal tools on Bubble with clean database normalization and clear graduation paths to custom code.

Overview

How we approach Bubble development.

Bubble is the fastest way we know to put a real, database-backed application in front of users. It is also the platform where early structural decisions have the most durable consequences, because the data model, privacy rules, and workflow design are difficult to change once live data depends on them.

So we start there. Data types and their relationships are modelled before any page is built, privacy rules are written per data type as the schema is defined rather than added at launch, and workflows are structured so shared logic lives in reusable elements and backend workflows instead of being copied across pages.

Performance in Bubble is mostly a function of how much the page asks for. Searches constrained in the database rather than filtered in the browser, lists paginated instead of loaded whole, satellite data types for expensive fields, and scheduled backend workflows for anything a user should not wait on. These are the differences between an app that stays fast at ten thousand records and one that does not.

We also plan the exit before you need it. Bubble is right for validation and for many production applications, and there is a point where custom code becomes cheaper, usually driven by workload unit costs, complex background processing, or a specific compliance requirement. We document what a migration path looks like so that decision can be made on evidence.

What We Deliver

  • Custom Bubble app development
  • Database schema architecture and privacy rules
  • API Connector and plugin integration
  • Performance optimization and audit
Delivery Methodology

How we build and deploy.

Structured engagement from initial process audit to live production monitoring.

01

Data model and privacy rules

Data types, relationships, and per-type privacy rules defined before pages are built, because both are expensive to change once real data exists.

02

Core application build

Pages, reusable elements, and workflows built with shared logic centralised rather than duplicated across the app.

03

Integrations and background work

API Connector setup, webhooks, and scheduled backend workflows for anything that should not run in the user request path.

04

Optimisation and launch

Workload profiling, search and index tuning, plugin audit, and a documented handover for whoever maintains the app.

Problems Solved

Operational challenges we eliminate.

The Bottleneck

The app has become slow as data has grown

Our Solution

We profile the heaviest pages and workflows, move filtering into database constraints, paginate lists, split oversized data types, and move expensive work to scheduled backend workflows.

The Bottleneck

Workload unit costs are rising faster than usage

Our Solution

We identify what is consuming units, usually unconstrained searches, repeated API calls, and workflows running more often than intended, and restructure them. Where the economics genuinely favour custom code, we say so.

The Bottleneck

Data is exposed through the API even though it is hidden in the interface

Our Solution

We audit and rewrite privacy rules per data type, because interface conditionals hide fields visually while still returning them in the response.

Technical Depth

Under the hood.

Deep architectural rigor built for software engineers and technical decision-makers.

Privacy rules as the security model

Per-data-type privacy rules control what leaves the server, which is the only real access control in Bubble; conditional visibility hides fields in the interface but not in the API response.

Database-side search constraints

Searches are constrained in the database rather than filtered client-side, which is the single biggest lever on both page speed and workload consumption.

Backend workflows for heavy work

Bulk operations, third-party calls, and scheduled jobs run as backend workflows with retry handling, so users are not left waiting on a spinner.

Reusable elements and shared logic

Common interface and workflow logic lives in one place, so a change ships once instead of being repeated across every page that copied it.

Common Use Cases

Where this applies.

MVPs that need real users, fast

A functional product in front of customers in weeks, with a data model built to survive the feedback that follows.

Marketplaces and two-sided platforms

Multi-role applications with listings, matching, messaging, and payments, where privacy rules and permissions carry real weight.

Internal tools and operational dashboards

Applications replacing spreadsheets and shared inboxes, built faster than a custom stack would allow.

Rescue and optimisation

Existing Bubble apps that have become slow, expensive, or unsafe, audited and repaired without a rebuild.

Why Lesscode

Verified delivery standards.

85% faster

Underwriting Acceleration

Finject MCA brokerage CRM with AI statement parsing

98% compliance

Brand-Compliant Social Reach

PostAutoPilot distributed social automation platform

$300K+

Client Value Delivered

Over 200+ projects shipped across SaaS, AI, and workflow automation

100% IP

Intellectual Property Guarantee

Clients own 100% of all custom code, prompt pipelines, and databases upon launch

Frequently Asked Questions

Common questions about Bubble development.

Q.Can a Bubble app handle real production traffic?

Yes, when it is built for it: constrained searches, indexed data, paginated lists, and heavy work moved to backend workflows. Most Bubble apps that struggle at scale are doing work in the browser that belongs in the database.

Q.What does it cost to run?

Bubble bills by workload units, so cost tracks how efficiently the app is built rather than how many users it has. We optimise for that during the build and show you what each significant workflow consumes.

Q.Can we move off Bubble later?

Yes. Data exports through the Data API, and the application logic is documented so it can be reimplemented. We build the custom replacements too, so the migration is a planned project rather than a rescue.

Q.Can you fix an app another agency built?

Yes, and it is a regular request. We audit the data model, privacy rules, workflow structure, and workload consumption, then deliver a prioritised remediation plan before touching anything.

Selected Case Studies

Real software we have shipped.

New business / 2026

Have a process that should work better?

Bring us the bottleneck, the brittle build, or the idea. We'll give you a direct read on what to do next.