15 Apps Built With Bubble With Real Revenue Evidence
The strongest apps built with Bubble are operating businesses, not demo-day mockups: ProvenStartups found 15 projects with revenue evidence, and 11 are…
The strongest apps built with Bubble are operating businesses, not demo-day mockups: ProvenStartups found 15 projects with revenue evidence, and 11 are solo-run. Six publish a clean monthly figure, while the full matching cohort has a $33K/mo median and a $13K/mo to $100K/mo range. We would copy their narrow scope and distribution discipline, not clone their screens.
Contents
This page starts with the quality of the evidence, then compares every Bubble case in the cohort. It finishes with the contradiction in the data, the patterns worth copying, and a concrete build filter.

What the revenue evidence says
Bubble has credible commercial outcomes, but the claims are not equally trustworthy. Only two projects in this cohort qualify as third-party verified [V]; the linked case pages retain [F] for founder-reported claims and [C] when a creator relayed the number. Read the grade before treating any result as a benchmark.
That distinction changes the conclusion. Packager’s Intune deployment SaaS reached $60K/mo and $910K/yr [V], while Magai is reported at about $100K/mo and over $1M cumulative [C]. Both matter, but only the first figure has third-party verification.
The median above is calculated over the full six-case set with clean monthly figures, not just examples selected for this article. ProvenStartups’ grading method explains the labels, and the full index of 406 graded startup ideas lets readers compare Bubble with other build approaches.
15 Bubble projects with evidence
These are all 15 matching projects, not a hand-picked winner list. The comparison preserves the disclosed result, evidence class, and business type; where revenue was not disclosed, it says so instead of estimating. That makes the table useful for selecting a model, not for manufacturing a flattering Bubble average.
| Project | Disclosed result | Category |
|---|---|---|
| Magai | ~$100K/mo; over $1M cumulative [C] | SaaS |
| Chatbase | ~$10M ARR; about $833K/mo [V] | SaaS |
| AI Birthday Doodle Portraits | 12K-16K orders at RMB 9.9-13.14 per unit [C] | AI E-commerce |
| Packager | $60K/mo; $910K/yr [V] | SaaS |
| Acquisition.io to Agentic Growth Firm | Human consultancy ~$7M/yr; one-person version undisclosed [F] | AI Service |
| AudioPen | $15K/mo; 200,000 users; 5,000+ paying [C] | Simple Tool |
| Bulk Mockup | $12K-$13K/mo consistently [F] | Platform Plugin |
| Molly Keyser’s digital product business | $33,108/month; around $475,000 in prior-year sales [F] | Digital Publishing |
| Kaleb’s first SaaS | $10K-$11K MRR in year one [F] | SaaS |
| Senja | $1M ARR [C] | SaaS |
| Rizz GPT | ₩3B across a three-app portfolio in 18 months [C] | Consumer App |
| RVV Ontheffing | ~10K/mo; currency not stated [F] | SaaS |
| Sponsor Inbox Qualification Agent | $12,000 additional revenue in ~1.5 weeks [F] | AI Service |
| SuperLemon | Reported $25K/mo [C] | Platform Plugin |
| TableCheck | About 7,000 paying restaurants; revenue undisclosed [F] | SaaS |
The spread matters more than the maximum. Seven cases are SaaS, but the cohort also contains plugins, services, publishing, e-commerce, a consumer app, and a simple tool; Bubble is the implementation layer, not the business model.

Where the Data Contradicts Popular Bubble Advice
The popular claim is that Bubble is mainly useful for prototypes, toy apps, and low-ticket experiments. This cohort says otherwise: Chatbase reports about $10M ARR, or roughly $833K/mo [V], and Packager records $60K/mo [V]. Those are operating software businesses, not validation landing pages.
The second contradiction is organizational. Eleven of the 15 projects are solo-run, so meaningful outcomes do not require assembling an agency-sized Bubble team. Yet solo does not mean trivial: Chatbase carries a difficulty rating of 5/5 [V], while AudioPen is rated 2/5 and reports $15K/mo [C].
The honest conclusion is narrower than “Bubble can build anything.” Bubble can support serious revenue when the workflow, buyer, and acquisition channel are clear. It cannot rescue an undifferentiated product, and the table provides no evidence that visual development removes distribution risk.
Patterns Worth Copying
The repeatable pattern is a narrow job with an obvious payer, followed by distribution that fits that buyer. We would copy Packager’s enterprise deployment wedge, Bulk Mockup’s plugin-shaped workflow, and Senja’s patient acquisition mix. We would not copy a broad feature set merely because one high-revenue case has it.
- ·Boring B2B can be excellent. Packager handles Intune deployment and produces $60K/mo [V].
- ·A small tool can charge. AudioPen reports $15K/mo with 5,000+ paying users [C].
- ·Plugins inherit buyer intent. Bulk Mockup shows $12K-$13K/mo consistently [F], while SuperLemon is reported at $25K/mo [C].
- ·Distribution is part of the product. Senja reached a reported $1M ARR [C] without a viral launch; SEO and affiliates were its top channels.
Wikipedia’s startup entry describes the term broadly, but “startup” is not a useful quality filter here. A disclosed number plus its evidence class tells a developer far more than the label.

What We Would Build
We would build a narrow B2B workflow or platform plugin with a reachable buyer, a measurable painful task, and a distribution channel chosen before implementation. We would refuse a generic AI wrapper, a two-sided marketplace, or an enterprise platform unless customer access already existed. Bubble speed does not create demand.
- 1.Choose a paid workflow. Start with a task currently completed through spreadsheets, email, or repetitive admin work.
- 2.Define the evidence target. Decide what would count as proof: paid invoices, a visible dashboard, or third-party reporting.
- 3.Ship the smallest complete loop. Include onboarding, the core job, payment, and support visibility; postpone adjacent features.
- 4.Run one acquisition channel deeply. Kaleb reached $10K-$11K MRR in year one [F], but a $112,000 listing did not close [F]. Revenue does not guarantee an exit.
Use the U.S. Small Business Administration’s business guide for general operating fundamentals. For product selection, use the stricter rule here: no build without a specific payer, painful workflow, and plausible route to the first customer.
FAQ
Bubble is commercially viable, but the evidence supports specific business shapes rather than the platform in the abstract. These answers separate what the cohort demonstrates from what a founder would still need to validate independently.
Are apps built with Bubble real businesses?
Yes. Packager records $60K/mo and $910K/yr [V], while Chatbase reports about $10M ARR [V]. Those verified cases establish that Bubble-built software can operate beyond prototype stage. They do not establish that every Bubble architecture scales equally, so product-specific load, integrations, security, and maintainability still need technical review.
Can a solo founder make money with Bubble?
Yes, and 11 of the 15 projects in this cohort are solo-run. The outcomes vary sharply: Bulk Mockup reports $12K-$13K/mo [F], while Magai is relayed at about $100K/mo [C]. The sensible takeaway is that a solo operator can reach revenue, not that Bubble makes those results typical.
What type of Bubble app should a developer build?
Build a narrow SaaS workflow, plugin, or simple tool for a buyer you can reach directly. The cohort contains seven SaaS cases, and Packager’s $60K/mo [V] is stronger evidence than a speculative marketplace plan. Start with the payer and acquisition channel; choose Bubble only after the required workflow fits it.
Does Bubble remove the hard engineering work?
No. The software difficulty in this cohort runs from straightforward products to Chatbase at 5/5 [V]. Bubble can reduce interface and CRUD implementation work, but it does not remove data modeling, integration reliability, permissions, observability, or scaling decisions. Visual code is still production code once customers depend on it.