BUBBLE PRESENTS

The Business of Building 2026

Anyone can build an app fast. But if your goal is to turn that big idea into a real business, it’s what you do next that matters most. The apps that make money charge early, ship steadily, edit ruthlessly, and don’t put off building the most innovative features.
INTRODUCTION

What does it take to go from prototype to profit?

Everyone’s talking about how easy it is to spin up an app with AI these days. And it’s true: The typical Bubble app goes from creation to first deploy in just 3 days.
But we wanted to know what separates those who build fast from those who build businesses, and we knew just who to ask. Bubble apps collectively process more than $1B in transactions a year.

The data shows the apps that get there follow the same sequence: They get in front of paying customers early, get those customers to tell them what they really want, and then iterate — fast and often.

That’s an uphill battle for anyone who can’t understand and control every facet of what they built.
WHAT'S IN THIS DATA

250K+

APPS ANALYZED

11.9M

DEPLOYS

233M

APP EDITS
1. CHARGE EARLY

31% of apps that make money start charging on day 1

It takes just 8 days for a typical app to go from public launch to processing its first transaction, and nearly a third charge on their very first day. 
That pricing decision is intentional. Founders who decide to collect payments from day one learn quickly whether anyone wants what they made. That validation gives them a head start over the competition, and everything they build next is grounded in real user feedback instead of a guess.
TIME FROM DEPLOY TO FIRST PAYMENT TRIGGER

15%

DAY 0-1

9%

DAY 2-7

3%

DAY 8-14

5%

DAY 15-30

18%

DAY 31+
MEDIAN

4

days
AVERAGE

18

days
2. SHIP STEADILY

They deploy changes to customers 20X more often

Early customers give founders tangible feedback to respond to. The ones who make money do so quickly and repeatedly: ship a change, watch what happens, ship again.
Over the course of six months, the typical monetized app will deploy changes 45 times. Non-monetized apps will deploy twice.
 
Nobody forgets the exhilaration of their first transaction, but there’s no sitting around patting themselves on the back for too long or resting on their laurels once they’ve proven product-market fit. Founders who build real businesses iterate fast, often, and intentionally.
APPS THAT MONETIZE

0 deploys

START
M1
M2
M3
M4
M5
M6
APPS THAT DON'T

2 deploys

START
M1
M2
M3
M4
M5
M6
3. EDIT RUTHLESSLY

Builders with paying customers make 25X more edits

Dozens of deploys are the result of weeks' worth of editing work. It’s good old-fashioned persistence — deciding over and over that the business idea is still worth working on.
Within the first six months of launch, a typical monetized app is edited 614 times, divided across 46 distinct days. By contrast, a typical non-monetized app is edited 25 times spread across 4 distinct days. That’s roughly 25X more edits over the course of about 12X more editing days.
DAYS SPENT EDITING - SIX MONTHS
APPS THAT MONETIZE

days

APPS THAT DON'T

days

TOTAL EDITS

614 vs. 25

DAYS SPENT EDITING

46 vs. 4

LONGEST STREAK

9 vs. 2 days

4. BUILD BOLDLY

Apps that build AI into the product monetize at nearly 3X the rate

Modern building platforms make it easier than ever to add AI features to an app, but those features don’t come without risk. They cost more the more people use them, and they return something different every time they run. Plus, if they go wrong, they go wrong in front of users instead of quietly in the logs.
But AI features are also worth it, because the data shows that users reward them. 28% of apps with AI features monetize, compared to only 10% of apps without AI features. Of course, the better a founder understands their app, the more they can control it, and the less of a risk these features pose.
SHARE OF EACH GROUP THAT MONETIZES

28%

of apps with AI features monetize

10%

of apps without AI features monetize
Based on a comparison of apps built in the same year

All the customer feedback in the world won’t help if you can’t bring what they want to life.

To do that, you need to stay in the driver’s seat, and you can't control what you can't understand. AI agents help you move fast. Visual editing keeps you in control.
WHO'S DOING THE BUILDING

70% of apps that make money were built by 1 person

It’s true what they say: One person and a laptop can change the world, especially when you no longer need to know how to code. 70% of the Bubble apps that monetize were built by a solo founder. 
That said, a second (or third) set of hands still helps. Apps built by two or more people monetize 1.4X more often than those built solo (10.8% vs 7.5%).

70%

BUILT SOLO
HOW MANY PEOPLE ARE BUILDING AN APP
BUILT SOLO - ONE EDITOR
70%
BUILT WITH A TEAM - 2+ EDITORS
30%
LOOKING AHEAD

Where will the business of building go next?

Here’s where we believe things are heading, based on patterns in the data and what we hear from builders every day.
PREDICTION 1

AI will become a given, 
not an edge

Only about a quarter of newly monetizing apps have AI features today, but we don't expect that to hold. Users increasingly expect AI features, the tools to build them keep getting easier, and the data shows they pay off. Founders have every reason to add them.
PREDICTION 2

The one-person software company will stop being a novelty

Starting a software business used to mean assembling a team first, but 7 in 10 monetized apps were built by one person. As the tools handle more of what used to require specialized knowledge, going it alone will stop being remarkable.
PREDICTION 3

People will stop caring how long it took you to launch

When everyone can ship in three days, shipping in three days doesn’t mean much. The tech market will stop talking about how long it takes and start talking about what it takes to build something that lasts.
PREDICTION 4

Charging on day one will become standard practice

31% of apps that make money trigger their first transaction within a day of launching. We expect the free-beta-then-figure-out-pricing sequence to keep losing ground, and the put-a-price-on-it-and-find-out sequence to gain.
WHAT PEOPLE ARE BUILDING

AI tools and SaaS platforms outpace every other category combined

Over the past year, Bubble users have generated thousands of apps with AI. That prompt data shows AI tools and SaaS platforms account for 71% of what people are trying to build — more than everything else combined.
TYPES OF BUBBLE APPS
AI TOOLS
38%
SAAS PLATFORMS
33%
MARKETPLACES
15%
INTERNAL TOOLS
7%
PRODUCTIVITY
3%
LIFESTYLE
3%
SOCIAL
1%
CONCLUSION

Charge early. Ship steadily. Edit ruthlessly. Build boldly.

You don’t need a faster start to go from prototype to profit. All you need is the grit and determination to show up tomorrow, and the next day, and the next — and the tools that keep you in the driver’s seat.
70% of apps that make money were built by just one person. Will you be next?
ABOUT BUBBLE

Launch apps, not prototypes

Bubble is a fully visual AI app development platform built to help you turn your big idea into a real business. Prompt when you want speed, edit directly when you want precision, and switch between them whenever you like — Bubble’s visual editor lets you see and control every detail, from the design to privacy rules and programming logic. And everything you need to grow comes built in: a unified web and native mobile editor, enterprise-grade hosting, security, database management, and automatic scaling that grows with your business.
BY THE NUMBERS

6 million

BUILDERS

8 million

APPS

220+

COUNTRIES AND TERRITORIES

$1 billion+

TRANSACTED THROUGH BUBBLE APPS EACH YEAR
METHODOLOGY
This analysis covers 250,000+ live and deployed Bubble apps, as of mid-August 2026. An app is counted as monetizing when it has run a payment workflow through Bubble's native Stripe plugin or called a payment provider's API, on or after its first deploy. Apps with AI features are defined as apps that connect to an external AI provider through an API-based integration. Comparisons between monetizing and non-monetizing apps run on a single cohort measured over identical windows in the last 18 months, each observed across its own first 180 days, with durations measured from an app's first deploy. Figures described as typical are medians. App category figures reflect the category a builder selected when generating an app through Bubble's AI generation flow. All reporting was conducted on anonymized and aggregated data to protect user privacy.
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The Business of Building 2026
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