Over 7.2 million apps have now been built on Bubble. The platform generated $74.2 million in revenue in 2024 alone. And yet, most articles claiming to show you “the best apps built with Bubble” are agency portfolios in disguise — curated lists of apps the writer’s firm built, designed to funnel you toward a development contract.
That’s not what this is.
This article collects verified examples of real Bubble apps across six categories. These are the most successful Bubble apps with verifiable traction — funding data, user numbers, and acquisition records where they exist. The goal is specific: if you’re a non-technical founder evaluating Bubble for your next product, these examples answer the question that actually drives the decision — how far can this platform go? In 2026, that ceiling keeps moving.
Why Bubble? The Platform Behind the Apps
Bubble is a full-stack no-code development platform. It handles front-end design, back-end workflow logic, relational database management, user authentication, and third-party API connections — all inside one visual editor, without code.

The platform is past its experimental phase. By the end of 2025, over 7.2 million apps had been built on Bubble, with $74.2 million in 2024 revenue confirming the business itself is healthy, not just the hype. Bubble raised $100 million in its first Series A round in 2021 — after nearly a decade of bootstrapping.
Mobile was Bubble’s blind spot for years. That changed in June 2025 with the native mobile builder launch in public beta. By year’s end, builders had created over 180,000 mobile apps on the platform — per Bubble’s own 2025 year-end recap.
Pricing: Starter at $69 per month, Growth at $249, Team at $649. Enterprise pricing by quote. The model’s real catch is Workload Units — WU consumption scales with app complexity and traffic. Teams that don’t plan for it can see unexpected cost jumps when they cross the 500K WU threshold on the Growth plan.
For a non-developer, the core value is simple: Bubble removes the engineering bottleneck. You can build, test, and iterate without waiting on a developer sprint. If you’re completely new to the platform, our Bubble.io beginner’s tutorial walks through the basics before you commit. The apps below show that this matters not just at MVP stage, but well beyond it.
SaaS Apps Built on Bubble
SaaS is Bubble’s strongest category. Subscription billing, user roles, dashboards, and async workflows all map cleanly to what the platform does natively. The two apps below arrived at the same conclusion through opposite routes.
Teal — The Career Platform That Scaled to 2 Million Members
Teal helps job seekers track applications, build resumes, and prep for interviews. Founder David Fano chose Bubble so his team could iterate product decisions fast — without sending every change to an engineering queue.

The result: over 2 million members, $11 million in total funding, and a $6.3 million seed round in March 2025. The platform pivoted multiple times before finding its market. Each pivot on Bubble took weeks. On a traditional code stack, each would have taken months.
Better Legal — The Case for Moving TO No-Code
Better Legal runs the more surprising version of this story. If you’re thinking about growth after launch rather than just the build, no-code app growth hacking is a separate discipline worth reading about.
Founder Chad Sakonchick was spending roughly $10,000 per month on developer costs for his business formation platform. He rebuilt four years of custom code on Bubble in under a year and cut that monthly cost to about $5,000. Better Legal now handles full US business legal setup for a flat $300.
For Smart Admins looking at their current stacks: Bubble isn’t always the starting point. Sometimes it’s the smarter rebuild.
The design note: Both apps have well-defined data models, manageable workflow depth, and billing logic that Bubble handles natively via Stripe. Problems surface when teams skip the data modeling step. Unbounded database searches inside repeating groups are where performance breaks down first — and they’re harder to fix after launch than before it.
Marketplace Apps Built on Bubble
Two-sided marketplaces need listings, search, payments, user profiles, and review systems. All of these map to Bubble’s core tools. The apps built with Bubble in this category have produced some of the most-cited funding stories in the no-code space.
Comet — From Zero to $800K MRR Without Writing Code
Comet is a curated marketplace for tech and data science freelancers. Founder Charles Thomas had no coding background when he built the first version on Bubble in 2017. His edge wasn’t the platform — it was manually vetting every freelancer on it, which set Comet apart from Upwork.
Bubble let him launch in weeks. The platform scaled to $800,000 in average monthly revenue before raising $12.8 million from investors including Kima Ventures. That sequence matters: revenue first, then funding. Comet proved the model on Bubble and raised on the traction.
TicketRev — The Reverse Marketplace for Event Tickets
TicketRev flipped the standard ticket resale model. Fans submit bids at their preferred price and seat location. Sellers accept when an offer works. No public listing required — just a notification when a matching bid arrives.

Launched in 2021 on Bubble, TicketRev raised $1.1 million in pre-seed funding from 500 Startups, Soma Capital, Groove Capital, Techstars, and the Minnesota Twins. The bid-matching logic required careful workflow design. That’s the consistent pattern here: the product insight drives the traction. Bubble handles the setup.
Fintech Apps Built on Bubble
Fintech surprises people. The default assumption is that financial data needs custom code and heavy security work. These apps built on Bubble challenge that directly.
Dividend Finance — The No-Code Fintech That Got Acquired by a Bank
Dividend Finance is a solar and home improvement loan platform. It processed hundreds of millions in loans before being acquired by Fifth Third Bank in May 2022. The company raised $120 million in total funding. Terms of the purchase weren’t public.
This is the biggest enterprise exit from the no-code space. Bubble powered the loan process — from first contact to approval — through the company’s entire growth phase. The design fit: Dividend Finance’s core logic was async and form-driven. That’s where Bubble performs best. For teams considering Bubble for larger organizational deployments, no-code enterprise application development covers the architectural considerations that matter at that scale.
Strabo — 11 Countries in One Month
Strabo is a global personal finance tracker. Two founders built it on Bubble in about a month. It now serves over 10,000 financial institutions across 11 countries.

HelloPrenup — covered in the next section — also handled sensitive financial data and cited Bubble’s built-in privacy rules as the deciding factor. The pattern is consistent: Bubble’s data security handles async, form-driven finance workflows at production level. Real-time trading systems, high-frequency transactions, and custody-level banking are a different matter. Those need setup that Bubble can’t provide alone.
AI-Powered Apps Built on Bubble in 2025–2026
The AI category is where Bubble’s 2026 momentum is most visible. Bubble’s API connector links to OpenAI, Anthropic, and any other LLM provider via standard API calls. Native AI workflow tools let builders trigger and chain AI responses without writing prompt code. For a broader view of where Bubble sits among the best no-code AI platforms, that comparison is worth bookmarking.
The platform’s own data tells the story: in Bubble’s 2024 Community Awards, both the “Most Innovative” and “Fastest Growing” app categories were won by AI-first Bubble apps. Ringly.io took home “Most Innovative App” at BubbleCon 2024.
Ringly.io — AI Phone Agents for E-Commerce
Ringly.io automates customer calls for online retailers. Its AI phone agents now independently handle up to 90% of incoming calls — a result reached after piloting across 2,179 stores. Users reported a 50% drop in average call handling time. One Shopify cosmetics brand saw a 78% first-call resolution rate within its first month. The system supports 30+ languages and connects with Shopify and Zapier natively.

This is a live, production AI product built on Bubble. The setup that makes it work: Bubble manages the user interface, account logic, and workflow coordination. The LLM runs outside Bubble via API and feeds results back in. That clear split is what keeps performance stable at scale.
GetAIWay — AI Travel Planning in Five Days
The Goodspeed team built GetAIWay, an AI travel planning tool, on Bubble in five days. After launch, it drew thousands of users and generated tens of thousands of itineraries.
The build time is the point. When the AI is the product and Bubble is the interface, timelines compress fast. A Smart Admin doesn’t need to know how large language models work to build on top of them. The API connector handles the link. What matters is the product design: what inputs users provide and what the AI returns.
Legal, Education, and Specialized Tools Built on Bubble
Form-driven, document-heavy workflows are where Bubble excels. Legal, education, and professional services apps fit this pattern well. These categories also share something useful: the founders usually already understand the domain deeply. That removes the hardest part of building good software.
HelloPrenup — From a Side Hustle to Shark Tank
HelloPrenup helps couples create prenuptial agreements online at a fraction of lawyer rates. Co-founder Sarabeth Jaffe came from a software background. She chose Bubble over a custom build for its speed. Not because she couldn’t code — because faster iteration mattered more than technical control.
The Bubble-powered platform appeared on ABC’s Shark Tank and received investment from Kevin O’Leary and Nirav Tolia. Over 5,000 prenups have been created across 30+ US states. Sarabeth named Bubble’s built-in data security as the deciding factor — users share detailed financial information on the platform, and security had to be structural, not added on afterward.
Playground IEP — Schools, Not Spreadsheets
Playground IEP is a caseload management portal for special educators. Sean Klamm, a working special ed teacher, built it on Bubble to automate IEP scheduling and give teachers a clear dashboard for every student on their caseload — replacing the spreadsheets and manual work that eat special education time.

The platform provides IEP snapshots, automated meeting scheduling, and individual teacher views. The use case is tight: document-driven, role-based, small user group. That’s Bubble’s home territory.
Workello — Hiring Writers Without the Chaos
Workello centralizes pre-hire testing for content teams. Built on Bubble, it lets content managers move applicants from submission to offer in one place — automated skills tests, rejection handling, interview scheduling, and offer delivery with a single click. The platform started as Workello’s own internal hiring tool before being productized.
What Separates Most Successful Bubble Apps from Abandoned MVPs?
Every agency listicle skips this part. The same platform that powered Dividend Finance’s $120 million raise also has plenty of stalled builds and abandoned MVPs. The gap isn’t the platform. It’s a small set of early decisions that compound over time.

Start with the data model, not the UI. Every successful app above was designed database-first. Define your data types, fields, and links before touching the visual editor. Unbounded searches inside repeating groups are the most common source of performance problems as apps grow.
Move heavy work outside Bubble. LLM calls, bulk data processing, and complex parsing belong in serverless functions — AWS Lambda, Render, or similar. Bubble handles the UX and workflow coordination. The heavy work runs in a separate service and feeds results back via API. Ringly.io and GetAIWay both use this pattern.
Plan WU costs before you launch. Workload Unit usage scales with traffic and complexity. The Growth plan at $249 per month is the right production baseline. Costs jump when apps cross 500K WU per month without planning for it. Measure your key workflows during the build — not after a surprise bill.
Start narrow. Comet launched with one freelance category. Teal launched with one tracking feature. Bubble handles expansion well. Apps that try to build everything before validating anything tend to stall before they find what actually works.
Bubble’s limits are real, but specific. Real-time concurrent editing at Google Docs scale, high-frequency financial transaction processing, and custody-level banking with strict legal requirements all need a different setup from the start. The most successful Bubble apps are built by people who understood those limits before they started — and designed around them.
Which Type of App Should You Build on Bubble?
Category fit matters more than platform marketing. Here’s the direct answer.
Bubble is the right starting point for:
- SaaS products with subscription models and async workflows
- Two-sided marketplaces where the hard part is matching logic, not the back end
- Internal tools and admin dashboards
- AI-powered tools where Bubble is the user interface and an external LLM handles the thinking
- Form-driven workflows in legal, healthcare, or education
Think carefully before choosing Bubble when your product needs real-time syncing for thousands of concurrent users, or when data residency laws limit where your infrastructure can live. Mobile is less of a concern now — Bubble’s 2025 native builder handles most mobile use cases well. If you’re comparing Bubble with other no-code platforms, our Bubble vs FlutterFlow vs Glide comparison covers the key trade-offs, and our guide to the best no-code platforms for MVPs goes deeper on the decision framework.
By 2025–2026, around 65–70% of new business applications globally are expected to use low-code or no-code tools — up from under 25% in 2020. Bubble is the default starting point for product builders now. Not the fallback. The 2026 roadmap is focused on more AI features and deeper core improvements. Expect the ceiling to keep moving.
Frequently Asked Questions
By acquisition value, Dividend Finance stands out. The solar loan fintech was acquired by Fifth Third Bank in May 2022 after raising $120 million in total funding. By user scale, Teal’s 2 million members is the benchmark. By revenue velocity, Comet’s $800K monthly revenue before its $12.8 million raise is the clearest proof of Bubble’s commercial ceiling. The right benchmark depends on your category.
Yes. Teal, Better Legal, and HelloPrenup all launched without traditional dev teams. The honest caveat: no developer doesn’t mean no discipline. Apps that scale well on Bubble still need careful data modeling, thoughtful workflow design, and WU budget planning. None of those require code. They require product thinking — which founders typically already have.
Most production apps live on the Growth plan at $249 per month. Costs increase when Workload Unit use exceeds the plan’s limit. Data-heavy apps running frequent workflows can jump to Team at $649 when crossing 500K WU per month without planning for it. Enterprise pricing is by quote and includes dedicated setup. Most apps in this article stayed on standard plans well past their first revenue.
Apps that need real-time concurrent editing at Google Docs scale, high-frequency financial transaction processing, heavy ML work running inside the app layer rather than via API, or custody-level banking with strict legal requirements all hit Bubble’s limits. The choice isn’t always Bubble versus custom code. It’s about knowing which parts of your product need purpose-built services — and designing around that split from the start.
Yes, as of 2025–2026. Among the apps built with Bubble, Ringly.io (90% call resolution, 2,179 stores) and GetAIWay (launched in five days) are the two most concrete current examples. The right model: Bubble provides the UX, user management, and workflow layer. The AI lives in an external LLM accessed via API. When that split is clear in the product design, Bubble handles AI apps well. When builders try to run AI inference inside Bubble’s workflow engine rather than outside it, performance suffers.

