Bubble Success Stories: The Most Successful Bubble App Examples Copy
Sep 20, 2025
Founder at GoodSpeed
TL;DR:
We evaluated apps with a discipline similar to an investor or enterprise technical buyer. The goal: include only live products where Bubble remained a material part of the stack and where there was credible evidence of real users, revenue, growth, or enterprise adoption.
Bubble has quietly become the most powerful no-code platform for SaaS founders. In the last five years, hundreds of products have moved beyond “MVP prototypes” and scaled into multi-million-dollar businesses, enterprise-grade platforms, and even VC-backed success stories.
But here’s the problem: the market is noisy. Some “Bubble apps” are student projects, others are abandoned MVPs, and only a select few demonstrate true scale, traction, and repeatable playbooks.
This article cuts through that noise. It’s the most comprehensive analysis yet of successful SaaS and marketplace apps built on Bubble. You’ll find:
Top 20 apps, spanning SaaS, marketplaces, internal tools, education, fintech, health, and AI.
Precise traction data (funding, revenue, user base, MAU, etc.) so you can benchmark your own progress.
Bubble-specific implementation details — how they optimized WUs, managed scale, and integrated with external systems.
Category winners for SaaS, marketplaces, AI-first, mobile-first, and enterprise adoption.
Lessons and patterns that every founder can apply: from how to avoid workflow bloat to when to pair Bubble with custom code.
Skip straight to methodology if you want to see how we scored apps.
How we chose
We evaluated apps with a discipline similar to an investor or enterprise technical buyer. The goal: include only live products where Bubble remained a material part of the stack and where there was credible evidence of real users, revenue, growth, or enterprise adoption.
Eligibility & verification
Must be a live product with public evidence of usage, revenue, funding, press coverage, or founder-verified metrics.
We cross-referenced company sites, press mentions, founder posts, and Bubble community case studies to validate claims.
Excluded apps that moved entirely off Bubble long before their growth stage.
Signals considered (scored 1–5)
Product–market fit / traction
UX & reliability
Performance & WU discipline
Scalability & architecture choices
Security & compliance posture
Build velocity & roadmap transparency
Integrations & ecosystem fit
Community proof (reviews, case studies)
How we used evidence
We prioritized first-party evidence (founder notes, official press releases) and reliable secondary coverage.
Where the dataset included explicit metrics (MRR, users, funding), those were highlighted; where numbers were missing we focused on qualitative signals (enterprise logos, public awards, or case-study depth).
Quick filters
Industries
SaaS, Marketplaces, Education, HR/Recruitment, LegalTech, Fintech, Health & Wellness, Travel, Real Estate, Internal Tools
Synthflow AI
A no-code voice-AI platform for building and deploying phone agents that handle inbound/outbound calls, schedule appointments, route conversations, and trigger back-office actions
Why it made the list
From MVP to meaningful venture rounds fast: Synthflow went from prototype to funding in ~6 months, followed by a $20M Series A led by Accel.
Proof points
Public announcements confirm $7.4M seed (June 2024) and $20M Series A (June 2025).
Bubble-specific build notes
Conversation flows, call handling logic, and ops dashboards are built in Bubble for fast iteration; the platform also ships a Bubble plugin/integration for app builders.
Low-latency, high-volume telephony (real-time STT/TTS, call switching) runs on specialised external services; Bubble acts as the orchestration and customer/admin portal. (Pattern consistent with the Showcase and product docs.)
Scheduled backend workflows queue bulk actions (e.g., campaign calls, follow-ups) to keep the UI responsive and manage WU usage.
Integrations
Telephony providers, calendars/CRMs, webhooks, and analytics—plus a Bubble plugin that lets Bubble apps embed Synthflow voice agents directly.
Limitations / trade-offs
Ultra-low-latency audio and large-scale concurrent calling depend on external voice infra; Bubble is best used as the control plane (config, workflows, billing, analytics) rather than the media engine.
Best for Teams that need production-grade voice agents quickly—using Bubble for the admin UX and orchestration while leveraging Synthflow’s telephony stack for real-time conversations at scale.
Floor Authority
A custom ERP that runs a flooring retailer/installer end-to-end—centralising quoting, inventory, job scheduling, dispatch, and invoicing in one Bubble app.
Why it made the list
It’s a clear “real business at scale” story: Floor Authority rebuilt core operations on Bubble and now runs an entire $24M operation through a single internal tool—proof that Bubble can replace fragmented legacy stacks for bricks-and-mortar businesses.
Proof points
The app powers the company’s full operation and underpins $24M in annual revenue, replacing off-the-shelf systems that would have cost thousands without matching fit.
Bubble-specific build notes
Back-office modules (estimates → work orders → installs → invoicing) implemented as data-driven dashboards and role-based views.
Heavy, repetitive operations (catalogue imports, schedule updates, document generation) run as scheduled backend workflows to keep the UI responsive and manage WU usage.
File-heavy assets (plans, photos) stored externally and referenced in-app to keep page loads snappy.
Integrations
Accounting/ERP sync, payments/invoicing, calendar & notifications (email/SMS), and vendor catalogue imports (CSV/API).
Limitations / trade-offs
Very large media libraries and bulk reporting are better handled with scheduled jobs and external storage/CDNs to manage WU and load times.
Deep accounting features may still rely on a dedicated accounting system, with Bubble acting as the operational control plane.
Best for Owner-operators and multi-location retailers who want to replace spreadsheets and stitched-together SaaS with a fit-to-process ERP they can iterate on quickly.
Seagate
A global data-storage company using Bubble to build both internal and customer-facing apps—from device provisioning tools to subscription management portals—consolidated into an internal portal composed of multiple micro-apps.
Why it made the list
Seagate shows that a Fortune-scale enterprise can adopt Bubble beyond prototypes: internal tools and external portals shipped quickly, with reported ~5× time savings versus prior approaches, and delivered by a lean team.
Proof points
Seagate cut development time from ~15 months to ~3 months for its Bubble-built internal/customer apps (device provisioning, subscriptions).
Bubble-specific build notes
Micro-app architecture (separate modules for provisioning, subscriptions, internal workflows) surfaced through a unified portal to minimise coupling and speed iteration.
Integrations
Identity/SSO, billing/subscription systems, device/asset services, and internal APIs.
Limitations / trade-offs
Very heavy device/asset operations or batch analytics typically live in dedicated services; Bubble acts as the orchestration layer and front-end to keep responsiveness high at enterprise scale.
Best for Large organisations modernising internal portals and customer workflows fast—where a micro-app approach plus integrations can replace slow, bespoke engineering without sacrificing governance and UX.
Flexiple
An efficient, high-quality marketplace that matches companies with pre-vetted freelance engineers.
Why it made the list
Flexiple shows successful bootstrapped revenue growth; it’s an example of a professional services marketplace that remained operationally efficient on Bubble.
Proof points
Reported $3M+ ARR and millions routed to freelancers, along with an extensive vetted talent pool.
Bubble-specific build notes
Candidate workflows, client onboarding, and match dashboards are Bubble-native.
Time-sensitive processes (scheduling interviews, rapid candidate discovery) are supported by scheduled backend workflows and external notification services to reduce user-facing latency and WU usage.
The vetting process uses external code tests and video interviews pipelined back into Bubble for scoring and review.
Integrations
Scheduling, payment routing, background checks, and code-testing platforms.
Limitations / trade-offs
For the highest-throughput searching, some indexing and cache layers live outside Bubble.
Best for Startups that want a high-quality talent stack but need to move faster than a custom build timeline would allow.
CircleHome
Peer-to-peer home-swapping with an annual membership so travellers exchange homes instead of paying nightly rates.
Why it made the list
A clean P2P marketplace built on Bubble, used to validate supply, ship safety features and secure early funding while iterating quickly.
Proof points
Launched its home-exchange network in February 2023 at €99/year.
Announced €120k pre-seed within the first year.
Live consumer app on the iOS App Store.
Bubble-specific build notes
Bubble showcase highlights MVP-to-funding speed with profiles, listings, messaging and subscriptions delivered via Bubble workflows.
Integrations
Not publicly listed on the website or App Store page.
Limitations / trade-offs
Scaling complex searches/workflows can get expensive in Workload Units (WU) and slow without careful design (use pagination, caching and optimised searches).
Best for Travellers who want a membership-based, P2P alternative to paid stays—“free Airbnb” via home swaps rather than nightly prices.
The Attributes
A sophisticated assessment and reporting platform used by enterprise customers to measure and develop leadership attributes. Built with LowCode Agency, the platform evolved from MVP to enterprise scaling engine, demonstrating Bubble's capability to grow with business demands
Why it made the list
The Attributes is a clear example of a highly polished, enterprise-facing product built on Bubble that scaled to handle large, concurrent user sets and complex role-based access.
Proof points
Clients include large consultancies and corporations; documented ability to support 1,300+ concurrent users in specific projects.
Bubble-specific build notes
Role-based access control and multi-tenant reporting are implemented through Bubble’s privacy rules combined with careful data modeling (sharded tables, option sets for attributes).
Heavy reporting queries were converted into paginated views with server-side summaries and caching to control WU usage.
When advanced personalization or AI-driven insights are required, those models are invoked via API and results cached in Bubble’s DB.
Integrations
Billing systems, SSO providers, and analytics stacks for enterprise reporting.
Limitations / trade-offs
Very large cross-entity reporting can push WU/timeout limits — solution was a hybrid approach with scheduled exports and server-side summarization.
Best for Enterprises buying specialist assessment tooling that need role separation, reporting, and a strong UX for administrators and participants.
Mailead
An AI-powered cold email and lead-gen platform that bundles list building, sequencing, verification, warmup, and a lightweight CRM.
Why it made the list
It’s a sharp, outcomes-first story: after indie founder Jeremy Redman acquired Mailead, he scaled and flipped it—showing how a Bubble app can grow and monetise quickly without a large engineering team.
Proof points
Bubble’s Showcase highlights the $400,000 in 3 months milestone from the acquisition/growth playbook; community posts around launch report rapid user uptake within weeks.
Bubble-specific build notes
Campaign builder, inboxing/warmup, verification, and simple CRM are implemented as Bubble-native modules for fast UI iteration.
High-volume send, enrichment, and verification jobs are offloaded to external providers/APIs; Bubble acts as the orchestration and customer portal to keep the UI responsive and WU under control.
Scheduled backend workflows handle batching (list verification, sequence sends) to avoid synchronous spikes.
Integrations
SMTP/transactional senders, email verification/warmup services, enrichment sources, and analytics—typical for outbound tools at scale.
Limitations / trade-offs
Deliverability/risk management (reputation, throttling, bounces) depends on external infra and careful rate-limiting; Bubble coordinates but doesn’t replace dedicated email infra.
Very large list operations should run asynchronously with queued jobs and progress indicators to manage WU and user expectations.
Best for Solo founders and lean teams who want an all-in-one outbound stack they can iterate on quickly.
Ohana
A subletting marketplace that connects renters (often students and interns) with verified medium-term stays (typically 30+ days), streamlining ID checks, listings, messaging, and payments.
Why it made the list
Ohana is a breakout marketplace story on Bubble: it reports 9× year-over-year revenue growth and reached profitability in 14 months, while operating in a tightly regulated category (medium-term rentals in NYC and beyond).
Proof points
$40M marketplace scale, 9× YoY revenue growth, and profitability in 14 months
$3M funding backed by former Airbnb executives, raised as Ohana shifted to 30+ day stays post-NYC rule changes.
Bubble-specific build notes
Listings, search filters, host verification, messaging, and booking flows are implemented in Bubble’s UI with role-based permissions for hosts/guests and in-house support tools.
Compliance-sensitive or heavy operations (ID verification, payment holds/refunds, fraud review) run via external services/APIs, with Bubble acting as the orchestration and customer portal layer—keeping transactional workloads off the front end.
Time-based inventory and pricing updates use scheduled backend workflows to avoid UI latency and manage WU consumption during peak demand.
Integrations
Identity/KYC providers, payments/escrow, email/SMS notifications, analytics, and CRM/helpdesk.
Limitations / trade-offs
High-risk flows (disputes, fraud checks, chargebacks) benefit from external risk tools and manual review queues rather than purely synchronous Bubble workflows.
City-specific rules require policy gating and content rules at the listing/submission layer; keeping those rules in config makes it easier to adapt to regulation shifts.
Best for Teams building trust-heavy, medium-term marketplaces where speed to market and compliance iteration matter—Bubble as the control plane plus targeted external services for payments, verification, and risk.
Axial
Deal-sourcing network and confidential marketplace for lower-middle-market M&A, used by investors, advisors and CEOs in North America.
Why it made the list
A clean example of Bubble as an internal tooling layer: Axial built a suite of custom admin/search tools on Bubble that replaced manual workflows and saved time and money.
Proof points
“Over 10,000 deals go to market each year” on the platform.
A directory of 1,600+ M&A advisory firms signals broad professional adoption.
Bubble-specific build notes
Axial’s internal tools were built in Bubble (search/admin workflows), consolidating processes and reducing ops effort; this is presented by Bubble as a time- and cost-saving rebuild.
Integrations
Not publicly listed.
Limitations / trade-offs
For ultra-low-latency, full-text search at scale, Bubble apps commonly pair with an external index such as Algolia, which Bubble documents and supports.
Best for Teams that need robust internal productivity and workflow tools quickly—without a full engineering hire—while the marketplace itself runs on Axial’s core platform.
HelloPrenup
State-specific prenuptial agreements with guided questionnaires, optional attorney support, and built-in e-sign/notarisation at a flat, consumer price.
Why it made the list
A consumer legal product with mainstream visibility (Shark Tank) and transparent pricing that undercuts traditional attorney-only routes.
Proof points
Secured a joint Shark Tank deal with Kevin O’Leary and Nirav Tolia for $150k for 30%.
Flat pricing: $599 per couple; optional e-sign & online notarisation $50; add-on attorney services available.
Bubble-specific build notes
Built on Bubble; the team credits Bubble for rapidly launching the product that later featured on Shark Tank and scaled with consumer demand.
Integrations
Publicly noted: online notarisation via Proof; payments/other vendors not publicly listed.
Limitations / trade-offs
State-by-state legal variation means content and workflows must stay modular and continuously updated; Bubble supports this with editable data structures and versionable content, but the upkeep remains a product responsibility.
Best for Consumer SaaS that needs to codify legal logic and deliver a self-serve experience with optional attorney touchpoints, without building a bespoke stack.
Strabo
Multi-institution, multi-currency wealth and cash-flow dashboard with AI features for tracking, forecasting and advice.
Why it made the list
A fintech example where secure aggregation and AI-powered insights run on external services while Bubble provides the UI and orchestration layer—Strabo publicly credits Bubble for its build.
Proof points
Syncs with 10,000+ institutions and supports manual accounts.
Positioning and features target cross-border investors (multi-asset, multi-currency, forecasting).
Recognised in UK fintech press and listings (e.g., TechRound Fintech 50).
Bubble-specific build notes
Strabo is built on Bubble (Showcase + App of the Day). Bubble handles dashboards, workflows and API orchestration; finance data comes in via external connectors.
Integrations
Open-banking / bank-data aggregators and CMS/site services; specific vendors not publicly listed.
Limitations / trade-offs
Highly sensitive operations (custody, payments, execution) and heavy analytics typically remain off-Bubble or with regulated partners; Bubble coordinates via APIs.
Best for Teams and individuals who need readable, trustworthy portfolio and cash-flow views across countries—keeping credentials and models in specialist systems while using Bubble for a fast product surface.
SuiteOp
A hospitality “guest operations” platform that unifies guest messaging, workflows, housekeeping/maintenance, and analytics—integrating with PMS tools so hotels and STR operators can run the entire guest journey from one place.
Why it made the:
SuiteOp is a clean, real-world proof of Bubble at scale—$3M seed to accelerate product and GTM, plus public traction showing sustained usage and revenue growth.
Proof points
Raised $3M seed in April 2025 and reached ~30K daily users and ~$700K ARR.
Bubble-specific build notes
Built as a suite of operational modules (guest comms, tasks, automations, dashboards) surfaced in a single Bubble app, with PMS integrations to keep data in sync.
High-frequency or third-party actions (OTA/PMS sync, messaging, payments) run via external APIs; Bubble acts as the orchestration/UI layer so staff have one control plane.
Scheduled backend workflows handle recurring jobs (pre-arrival messages, housekeeping rotations, nightly reconciliations) to minimise UI latency during peak check-in/out times.
Integrations
Property-management systems (PMS), messaging/SMS and email providers, payments, and analytics
Limitations / trade-offs
Very large batch syncs (OTA calendars, bulk reservations) are better offloaded to scheduled jobs/queues, with Bubble showing progress and exceptions.
Deep PMS customisation sometimes requires middleware/webhooks to keep Bubble workflows decoupled from vendor quirks.
Best for Hospitality teams that need a single control plane for guest comms + ops, and want to iterate quickly without rebuilding their stack—Bubble for the front-of-house/back-office UX, specialised systems behind the scenes.
Formula Bot
An AI that understands spreadsheets and turns raw tables into charts, narratives and repeatable reports.
Why it made the list
A weekend MVP built on Bubble that scaled rapidly—now Formula Bot is positioned as an “AI data analyst”—showcasing how no-code can validate UX and pricing fast, then layer in heavier infra as usage grows.
Proof points
Founder and site claim 1M+ users.
Bubble’s showcase spotlights the “weekend project → million-user” journey.
Bubble-specific build notes
Initial prototype and UI were created in Bubble; external services handle heavy compute (file parsing/LLM), with Bubble orchestrating uploads, status/results, and billing via the API Connector.
Integrations
Public docs mention Excel/Google Sheets add-ons and analysis across Sheets, Google Analytics, Trends, Search Console, and SQL/Postgres sources—plus AI backends.
Limitations / trade-offs
LLM/data-processing spikes and Bubble Workload Units (WU) can get costly without caching, batching and pagination; keep heavy jobs off-Bubble and monitor WU overages.
Best for Bootstrap founders/small teams validating a high-value AI workflow fast—using Bubble for product surface + orchestration, external services for the heavy lifting.
Comet
A European marketplace that connects companies with vetted tech and data freelancers and provides tools for engagement, billing, and compliance.
Why it made the list
Comet demonstrates that Bubble can underpin a B2B marketplace with enterprise clients. It raised meaningful venture capital, runs recurring revenue at scale, and has a two-sided product requiring stable matching logic, workflows, and billing.
Proof points
Publicly shared figures include significant investment (reported €17M+), recurring revenue reported around $800k MRR, and thousands of completed missions. Those are signs of product-market fit in a higher-ARPA B2B space.
Bubble-specific build notes
Marketplace matching, profiles, and onboarding flows are built in Bubble, taking advantage of Bubble’s UI speed for complex forms and dashboards.
Heavy-match computation (ML-powered scoring) runs outside Bubble via a middleware layer and APIs; Bubble serves as the orchestration and portal layer.
Critical operational tasks (invoicing, dispute resolution) are implemented with Bubble workflows and administrative consoles; rate-limited or high-frequency loops were moved to scheduled backend jobs to reduce WU burn.
Integrations
Billing and payroll providers, KYC/verification systems, custom vetting tools, and internal CRM/ERP sync through middleware.
Pricing snapshot
Transparent fixed-pricing plans with variants for enterprise clients (BOOST / CONNECT-like structures), bespoke enterprise fees where large accounts require SLAs.
Limitations / trade-offs
For very high-frequency matching and heavy machine learning, Comet uses external systems; Bubble is the control plane.
Enterprise connectors (HR systems, ERP) often require custom integration work outside Bubble.
Best for Teams building B2B marketplaces where speed-to-market and polished admin tooling matter, and where ML/matching logic can live in separate microservices.
Bloom Institute of Technology (BloomTech)
A high-scale online coding bootcamp combining curriculum, career services, and AI-assisted learning flows.
Why it made the list
BloomTech raised substantial capital and demonstrates outcomes-focused education at scale. It uses Bubble for internal operations and certain student-facing workflows, showing Bubble’s viability in regulated or outcome-driven education.
Proof points
Large fundraising rounds reported ($122M+), thousands of graduates, and public placement statistics (high placement rates and median salary improvements).
Bubble-specific build notes
Bubble hosts curriculum workflows, cohort management dashboards, and some student engagement tooling.
Sensitive data handling required strict privacy rules and careful architecture to minimize exposure of PII inside Bubble; for higher-risk processes, data is tokenised and held behind dedicated services.
AI-enabled tutoring and assessment models are integrated via API calls (AI inference outside Bubble), with Bubble acting as the UI and orchestration layer.
Integrations
Payment processors, LMS components, assessment engines, and AI tutoring APIs.
Limitations / trade-offs
When education platforms need compliance (e.g., secure transcripts or verified credentials), some systems are offloaded to specialized services.
High-throughput grading or video processing is handled outside Bubble.
Best for EdTech teams that want to iterate on curriculum, pipeline students quickly, and combine human coaching with automated tooling without building a full engineering org from scratch.
Teal
Career management and job-search toolkit: resume builder, job tracker, and AI-led interview preparation.
Why it made the list
Teal shows how consumer/creator products with heavy user engagement can run on Bubble while integrating a Chrome extension and AI services — a hybrid approach to scale.
Proof points
Reported fundraising of $11M+, millions of users in the ecosystem (3.2M members cited), and a sizable active user base leveraging the product’s features.
Bubble-specific build notes
The principal user-facing dashboards, resume editing flows, and account logic live in Bubble.
A Chrome extension and synchronous job-board integrations (via APIs) offload some real-time scraping and matching logic.
For bulk document processing and AI resume analysis, back-end services (serverless functions) perform the heavy lifting called from Bubble workflows to avoid excessive WU usage.
Integrations
Job boards via a Chrome plugin, third-party parsers, document storage, and AI content services.
Limitations / trade-offs
Real-time integrations and extension UX require careful decoupling so Bubble remains responsive.
Bulk or scheduled resume scoring runs off-Bubble.
Best for Consumer tools where rapid product iteration on UX and funnels is essential and where extensions or small external services handle real-time scraping or heavy compute.
Byword
End-to-end AI tooling for SEO teams to research, generate and publish content, with Bubble as the UI/workflow layer and external LLMs for inference.
Why it made the list
A clear example of using Bubble as the control plane: APIs and background workflows orchestrate prompts, reviews and publishing while model calls run on external services.
Proof points
Bubble’s API Connector links to any REST service (LLMs, CMSs, analytics), making it suitable for AI-first SaaS orchestration.
Scheduled/queued workflows support batch jobs and throttling for large runs.
GSC and common CMS APIs (WordPress/Webflow) enable programmatic reporting and publishing.
Bubble-specific build notes
Editor, pipelines and publish controls can be Bubble-native; external OpenAI calls are made via the API Connector, with only summaries/metadata stored in Bubble. Bulk publishing is orchestrated through CMS APIs and backend workflows.
Integrations
OpenAI/LLM providers; Google Search Console; WordPress/Webflow (or other CMS) publishing APIs.
Limitations / trade-offs
LLM rate limits and Bubble workload units (WU) require batching, back-off and caching to control errors and cost spikes. Use scheduled API workflows for pacing.
Best for Marketing teams that want a fast, integrated content engine—stitched into an editorial workflow—without building infra from scratch.
BetterLegal
A productised legal workflow that helps you form an LLC or corporation fast and handle ongoing compliance (typical turnaround “in a couple of days”).
Why it made the list
BetterLegal is a clear example of a team moving from custom code to Bubble to consolidate tools and iterate faster; Bubble’s own materials and events recap cite $2.7M revenue in 2022 following the rebuild.
Proof points
The company advertises 20,000+ businesses formed.
Listed by Forbes Advisor among the Best LLC Services of 2025.
Bubble-specific build notes
BetterLegal publicly credits Bubble with replacing years of bespoke code and expensive SaaS, centralising workflows and speeding shipping. They’ve also launched BetterLegal Assistant as a companion contract-analysis tool.
Integrations
Exact vendors aren’t publicly listed; like most formation platforms, the category typically uses payments, e-signature and document storage, plus professional-services partners (accounting, payroll).
Limitations / trade-offs
Regulated/legal workflows demand careful handling of documents and versioning; where requirements exceed Bubble’s native primitives, teams often pair Bubble with external storage or doc engines.
Best for Small-business owners who want self-serve, speed-focused formation with a productised experience.
CUURE
Data-driven subscription for personalised supplement packs with science-backed formulations and monthly sachets.
Why it made the list
A D2C brand that scaled while using Bubble to move fast on questionnaires, onboarding and experiments—showing how no-code can support personalisation before and after raising capital.
Proof points
Venture-backed: Early-stage/Series A financing; PitchBook reports ~$12.3M raised.
Strong social proof: thousands of consumer reviews on Trustpilot.
Media and investor coverage since launch (EU-Startups; Newfund).
Bubble-specific build notes
Cuure is built on Bubble; early versions of the personalisation workflow were prototyped with Bubble workflows, then evolved alongside growth.
Integrations
Not publicly listed.
Limitations / trade-offs
“Medically adjacent” products need precise claims and disclaimers; teams typically keep clinical logic and sensitive data in specialist systems while using Bubble for the product surface.
Best for P2P marketplace teams validating supply/liquidity and iterating fast on listings, matching, and membership—using Bubble for the product surface while offloading heavy search/payments to specialist services.
Getaiway
Rapid AI travel planning that turns a few preferences into actionable itineraries, delivered as a lightweight Bubble web app.
Why it made the list
Built and launched in five days on Bubble, then rode viral distribution—useful proof that Bubble can support fast AI product launches and growth loops.
Proof points
5,000 users in the first week, 10,000 total, and 50,000 itineraries generated post-launch.
Featured in AI newsletters (e.g., Ben’s Bites / Not A Bot) during launch.
Bubble-specific build notes
OpenAI was integrated via Bubble’s API Connector, with Google Maps for navigation; Bubble handled onboarding, itinerary pages and UX while prompts produced day-by-day plans.
Integrations
OpenAI (LLM) and Google Maps; other vendors not publicly listed.
Limitations / trade-offs
Viral spikes and heavy external API usage can drive Workload Units (WU) and compute costs; caching, pagination and job throttling are important.
Best for Consumer verticals where speed to market and shareable, web-native experiences matter more than deep booking/payments—i.e., AI itinerary planning with viral distribution hooks.
Read the full case study here
Dwellr
A marketplace that targets specific audience segments with better matching and trust features.
Why it made the list
Dwellr shows that real-estate and rental marketplaces can be built on Bubble with proper escrow, verification, and payment flows.
Proof points
Regional traction and increasing listings in targeted urban markets.
Bubble-specific build notes
Listing workflows, booking flows, and verification checks are Bubble-native.
Payment escrows and payouts are integrated via Stripe or similar providers.
Fraud detection and trust scoring use external APIs that flag risky accounts, with Bubble only surfacing verdicts.
Integrations
Payments, calendar integrations, identity verification and mapping.
Limitations / trade-offs
If the team needs offline background checks at scale, those are better implemented as queue-based jobs outside Bubble.
Best for Niche marketplaces that require bespoke UX and trust flows but not ultra high-frequency transactional throughput.
Read the full case study here
Summer Match
AI planner that matches students with summer programmes, internships and camps via a short preference intake and curated results.
Why it made the list
A focused, seasonal matching product built on Bubble, showing how a small team can ship quickly and iterate with real counsellor demand.
Proof points
Public release notes state a Bubble build with an AI recommendation engine and a database of 1,600+ opportunities.
Promoted by counselling organisations (College MatchPoint, Summit, Applerouth) for students and families
Bubble-specific build notes
Live as a web app with link-based intake and results; Bubble handles forms, lists and tracking while external AI (via MyAskAI/ChatGPT-4) powers recommendations.
Integrations
Not publicly listed beyond AI tooling.
Limitations / trade-offs
Seasonal spikes (application windows) can drive API/WU load—batching, caching and paced email sends keep the experience responsive in a Bubble + AI stack.
Best for Seasonal or cohort-driven matching where a fast, mobile-friendly UX and quick iteration on matching rules make the difference for schools and families.
Read the full case study here
Bellmade
Fitness community app for kettlebell programmes, rebuilt on Bubble to streamline operations and improve the member workout experience.
Why it made the list
A clean example of using Bubble to replace a clunky legacy setup and ship a purpose-built app that saved time and unlocked new monetisation.
Proof points
Bubble-specific build notes
Goodspeed delivered the web app and website in ~3 months; the rebuild consolidated workflows (content delivery, member experience) and removed manual PDF creation, with UI designed in Figma and app built on Bubble.
Integrations
Payment processors
Limitations / trade-offs
High-volume media (images/video) and analytics typically sit on external CDNs/services to keep the Bubble app responsive at scale.
Best for Niche communities where fast iteration and smooth content-to-commerce flows matter more than bespoke infrastructure.
Read the full case study here
My AskAI
An affordable, ticket-based AI customer support assistant that plugs into standard help desks and resolves most tier-1 queries automatically.
Why it made the list
A Bubble-built, AI-first B2B product handling real support workloads while integrating cleanly with major tools like Zendesk, Intercom, Gorgias and Shopify.
Proof points
Public dashboard shows 1,200,000+ tickets resolved and ~75% 30-day AI resolution rate.
Bubble showcase cites ~$25k MRR as the product scaled.
External write-ups report 40k+ registered users (third-party estimate).
Bubble-specific build notes
Admin controls, onboarding and billing run in Bubble; heavy compute (file parsing, NLP/LLM inference) sits on external services, with Bubble orchestrating uploads, webhooks/queues and results UI.
Integrations
Zendesk, Intercom, Gorgias, Freshdesk, Shopify; $0.10/ticket option for Shopify stores.
Limitations / trade-offs
Edge-case escalations need human handoff; surges in external API usage and Bubble WU require batching, caching and queueing to keep costs predictable.
Best for Ecommerce and SaaS teams that want to automate a large slice of support quickly—keeping their existing help desk while an AI agent handles the bulk of conversations.
How we reduced MyAskAI CPU usage by 30%
Bunker Ex
Mobile app for shipping fuel traders that automated client updates and simplified reporting—built on Bubble and wrapped for iOS/Android distribution.
Why it made the list
Demonstrates how a Bubble core, designed for mobile and packaged for the app stores, can deliver real operational impact fast (automated status updates, CSV/PDF outputs) in a complex, data-driven industry.
Proof points
10+ hours/week saved; order-status updates fully automated; delivered in ~1 month from design to build.
Bubble-specific build notes
Responsive Bubble app with API Connector + Zapier to sync a private back-end; one-click CSV exports and branded, code-generated PDFs; wrapped for App Store/Play Store; offline access noted for client meetings. (No public claims of push notifications/background sync for this project.)
Integrations
Private API/DB via Bubble API Connector; Zapier automations.
Limitations / trade-offs
Advanced offline/background or device features are typically added via light native modules around the Bubble core when needed
Best for Shipping/logistics teams needing a fast, mobile-first customer/ops app with automated reporting.
Best Bubble apps by category
🏆 SaaS Winner: My AskAI
My AskAI demonstrates exactly what SaaS founders hope for when choosing Bubble: speed to market, strong monetization, and operational leverage from automation. In under a year, the team scaled to tens of thousands of users, processing over a million support tickets with AI-driven agents.
Key lessons:
Demonstrable MRR: not just free users, but paying subscriptions across SMBs and mid-market customers.
Automation benchmarks: one of the clearest examples of Bubble enabling backend-heavy workflows, where AI handles customer interactions at scale.
Why it wins: it proves that Bubble apps can graduate into “serious SaaS,” with repeatable automation and monetisation patterns rather than vanity metrics.
🏆 Marketplace Winner: Comet
Comet is the closest thing to an “enterprise-grade Upwork” for data and AI professionals in Europe. It has raised significant capital (€17M+), supports $800k+ in monthly revenue, and serves blue-chip enterprise clients.
Key lessons:
Enterprise adoption: corporates are comfortable using a Bubble marketplace in production.
Repeatable logic: matching algorithms, dashboards, and billing can all be implemented reliably in Bubble.
Why it wins: among all Bubble marketplaces, Comet has the strongest combination of funding, traction, and enterprise validation, making it a blueprint for other two-sided platforms.
🏆 AI-first Winner: Formula Bot
Formula Bot is the classic bootstrapper’s dream: a two-day MVP that went viral, grew to over 1M users, and monetized almost instantly with subscription plans.
Key lessons:
Bootstrapper-friendly: you don’t need a large team; one founder and Bubble can compete globally.
Clear viral adoption: strong product–market fit around a narrow, valuable problem (spreadsheet AI).
Why it wins: it shows Bubble can power AI-first SaaS with massive user volumes, provided the heaviest compute is offloaded to external APIs.
🏆 Enterprise Winner: The Attributes
The Attributes is a leadership assessment platform serving clients like Microsoft, McKinsey, and American Airlines. It consistently supports 1,300+ concurrent users while delivering detailed role-based reporting.
Key lessons:
Role-based control: Bubble’s privacy rules and data segmentation can be configured to meet enterprise standards.
Heavy reporting: dashboards with high data throughput are possible if carefully paginated and cached.
Why it wins: among Bubble apps, it’s the clearest demonstration that Fortune 500s will run on Bubble-backed software if the product solves a core HR need.
🏆 Education Winner: Bloom Institute of Technology & GoodCourse
This category had a tie because both apps prove different but equally important education outcomes:
Bloom Institute of Technology (BloomTech) shows Bubble scaling an entire online school with thousands of graduates and $122M+ in funding. Its core strength is institutional workflows like ISA tracking, student dashboards, and AI-enhanced tutoring.
GoodCourse demonstrates mobile-first microlearning that integrates into universities, focusing on UX and adoption rather than just scale.
Key lessons:
Bubble can handle both long-term outcomes tracking (BloomTech) and lightweight, mobile-first delivery (GoodCourse).
Why they win: together, they prove Bubble’s viability across the education spectrum — from VC-backed bootcamps to institutional SaaS.
🏆 Mobile-first Winner: Bunker X
Bunker X is notable because most Bubble apps remain web-first. Bunker X invested in a mobile wrapper strategy, making its compliance-focused SaaS feel truly app-native while relying on Bubble’s backend workflows.
Key lessons:
Mobile wrappers work: you can launch on iOS/Android without rebuilding in native code.
Backend strength: Bubble still powers the core compliance logic and workflow automation.
Why it wins: it sets the playbook for SaaS teams needing mobile-first delivery without sacrificing Bubble’s development speed.
🏆 Bootstrapper-friendly Winners: Formula Bot & ByWord
Both apps show how solo founders can leverage Bubble to move from idea → revenue in record time.
Formula Bot: launched in two days, reached over 1M users, and scaled to global traction almost overnight.
ByWord: a lean SaaS that monetised quickly through AI-driven SEO automation, proving that not every win needs VC dollars.
Key lessons:
Velocity trumps polish: launch fast, validate, then iterate.
Bubble + AI APIs are a lethal combo for quick value delivery.
Why they win: they prove Bubble is not just for funded teams — it’s arguably the best tool for scrappy, bootstrapper-led SaaS experiments.
Comparison grid
App Name | Industry / Category | Stage | Users / MRR Band | Pricing Tier | AI Features | Mobile Strategy | Core Integrations | WU Profile | Notable Trade-offs |
Floor Authority | Retail Ops / ERP | Scaling in-market | Runs entire $24M operation (internal tool) | Internal tool (no public pricing) | No | Web-first (internal dashboards) | Accounting, payments/invoicing, calendar/notifications (email/SMS) | Medium–High | Heavy media & bulk reports best via scheduled jobs + external storage/CDN. |
Seagate | Enterprise / Internal Tools & Portals | Enterprise rollout | ~5× faster delivery (≈15→3 months) vs prior approach | Internal (no public pricing) | No (core) | Web portal (multi micro-apps) | SSO/identity, subscriptions/billing, internal APIs | Medium | Very heavy/batch ops best offloaded to backend services; Bubble as control plane. |
Ohana | Marketplace / Housing (30+ day stays) | Profitable, scaling | $40M marketplace scale; 9× YoY growth; profitable in 14 months | Transaction fees (marketplace) | No (core) | Web-first | Payments/escrow, KYC/ID, comms/CRM | High | Risk/verification and disputes rely on external providers + manual review queues. |
Mailead | SaaS / Cold Email & Lead Gen | Acquired, scaled, flipped | $400k in 3 months post-acquisition | PLG SaaS (tiers) | Yes (copy assist, verification workflows) | Web app + integrations | SMTP/senders, verification/warmup, enrichment, analytics | Medium–High | Deliverability & high-volume sends depend on external infra; queue big jobs. |
SuiteOp | Vertical SaaS / Hospitality Ops | Seed | $3M seed; ~30K daily users; ~$700K ARR | B2B SaaS (hotels/STRs) | Automations (ops & messaging) | Web app; staff-facing | PMS, messaging/SMS & email, payments, analytics | High | OTA/PMS bulk sync best as scheduled jobs/queues; vendor quirks may need middleware. |
Synthflow AI | AI Voice / Phone Agents | VC-backed (seed→Series A path) | “MVP→funding in ~6 months” (Showcase) | SaaS (usage-tiered, enterprise) | Core feature (voice agents) | Web console + API/plugin | Telephony, calendars/CRMs, webhooks/analytics | Medium | Real-time audio at scale handled by external telephony; Bubble as orchestration/UI. |
Comet | Marketplace / Freelance | Scaling | ~$800k MRR (reported historically); €20M+ raised across rounds | Enterprise custom + fixed plans | No | Web-first | Billing/payroll, KYC, CRM | High | Heavy matching/ML off-Bubble to external services for scale. |
Bloom Institute of Technology (BloomTech) | Education / EdTech | Scaling | Thousands of grads; $120M+ financing reported | $0–$20k per cohort (varies by program/cohort model) | Yes – AI tutoring/assessment via APIs | Web-first | Payments, LMS, AI APIs | Medium | Sensitive/regulated flows often handled in external systems. |
Teal | Career / Productivity | Scaling | 3.2M+ members | Free + premium tiers | Yes – resume & interview AI | Web-first + Chrome extension | Job boards, AI, doc storage | Medium | Real-time job data handled via extension/back-end services. |
Flexiple | Marketplace / Freelance | Scaling | ~$3M ARR (bootstrapped) | Custom / project-based | No | Web-first | Scheduling, payments, background checks | Medium | High-throughput talent search indexed/offloaded outside Bubble. |
CircleHome | Consumer / Travel (home swap) | Scaling | Early pilots; €99/yr launch price | Membership | No (core product) | Web-first | — | Medium | Scaling search/workflows needs pagination/caching to manage WU. |
The Attributes | Enterprise / Assessment | Enterprise | 1,300+ concurrent users on single implementation | Enterprise custom | Yes – AI insights via API | Web-first | SSO, billing, analytics | High | Large cross-entity reporting summarized off-Bubble for performance. |
BetterLegal | LegalTech / SaaS | Scaling | Tens of thousands served; $2.7M revenue (2022) | Flat $299 + state fees | No | Web-first | Payments, e-sign, storage | Medium | Document versioning/compliance often paired with external storage/engines. |
Byword | AI / SaaS | MVP→Scaling | Rapid monetization; plans from $99/mo (PAYG $5/article) | $99–$999+ /mo; PAYG available | Yes – AI content generation | Web-first | LLM APIs, CMS, GSC | Medium | LLM calls batched/cached; publishing via CMS APIs. |
Axial | Internal tools / Marketplace | Enterprise | 10k+ deals go to market annually; 1.6k+ advisory firms listed | Enterprise custom | No | Web-first | Diligence tools, doc repos, email/calendar | Medium | Full-text search partially external for latency/scale. |
HelloPrenup | LegalTech / Consumer | Scaling | Thousands of prenups; Shark Tank deal $150k for 30% | $599/couple + optional notarization | No (core workflow), plus e-notary | Web-first | E-sign + Proof online notarization; payments | Low | State-specific logic maintained as modular content & rules. |
Strabo | FinTech / Personal finance | Scaling | Thousands of users | Free + subscription tiers | Yes – AI wealth insights | Web-first | Open banking aggregators, AI, secure storage | High | Execution/custody stays off-Bubble; Bubble orchestrates UX. |
Cuure | D2C / Health & Wellness | Scaling | Series A (€10M, 2022) | ~$30–$80/mo | Yes – recommendation engine | Web-first | Payments, CRM, logistics | Medium | “Medically adjacent” logic & sensitive data in specialist systems. |
GoodCourse | Education / Microlearning | Scaling | Institutional adoption; YC-backed | $10–$50 / student (institutional) | No | Wrapper / mobile-optimized | SSO, LMS, analytics | Medium | Offline-first handled via light wrapper patterns when needed. |
Formula Bot | AI / Productivity | MVP→Scaling | 1M+ users | $0–$49/mo (typical) | Yes – AI spreadsheet/data analysis | Web-first | File storage, Sheets/Excel, AI APIs | Medium | Heavy compute off-Bubble; caching and batching essential. |
Getaiway | AI / Travel | MVP | 10k users; ~50k itineraries generated (post-launch) | Free + affiliate | Yes – AI itinerary gen | Web-first | OpenAI, Google Maps, affiliates | Low | Viral spikes → throttle external API calls; cache itinerary pages. |
Dwellr | Marketplace / Real estate | Scaling | Regional traction | Custom / listing-based | No | Web-first | Payments, calendars, listing tools | Medium | Mobile UX needs ongoing optimization for conversion. (Public category pages; limited hard metrics.) |
Summer Match | Education / Student services | MVP→Scaling (seasonal) | 1,600+ opportunities in DB; counselor promos | Freemium / institutional | Yes – AI recommendations | Web-first | — | Low→Medium (seasonal spikes) | Spiky demand around application windows → batch & cache. |
Bellmade | Fitness / Community | Scaling | Revenue +20% post-rebuild (case) | Subscriptions | No (core) | Web-first | Payments | Medium | Media hosting/analytics best kept on CDN/external services. |
My AskAI | AI / Support automation | Scaling | 1.2M+ tickets resolved; ~$25k MRR cited in showcase | Usage-based (e.g., $0.10/ticket for Shopify) | Yes – LLM-powered agent | Web-first | Zendesk, Intercom, Gorgias, Freshdesk, Shopify | Medium | Edge cases need human handoff; batch/queue external API usage. |
BunkerEx (Bunker X) | Energy / Ops tooling | Scaling | Ops impact case: 10+ hrs/week saved; iOS/Android app (store-wrapped) | Enterprise | No (core) | Wrapped mobile app | Private API via Bubble API Connector; Zapier | Medium | Advanced offline/push handled via wrapper; CSV/PDF exports & admin in Bubble. |
We collected qualitative patterns and direct lessons designers and founders often mention when reflecting on their Bubble builds.
Speed and learning
Founders repeatedly emphasize that Bubble allows them to iterate faster and validate hypotheses in weeks rather than months. Formula Bot (MVP in 2 days) and Geteaiway (live in five days) are commonly cited examples.
When Bubble is the right choice
If you need to validate product-market fit quickly, move to revenue without hiring a full engineering team, or build polished admin tooling fast, Bubble is often the right first choice.
When to augment or replace
High-throughput compute, heavy ML inference, global bank integrations with custody responsibilities, or inconsistent WU patterns are reasons teams add external microservices. Successful teams migrate small, well-encapsulated subsystems rather than rewrite everything at once.
Operational hygiene
Performance wins are almost always the result of discipline: no unbounded repeating-group searches, server-side actions for heavy tasks, strict use of option sets and privacy rules, pagination, and caching.
What Bubble enables
These are the concrete design patterns we saw in the strongest builds:
Server-side actions for heavy work
Move parsing, heavy computations, and LLM calls to serverless functions (AWS Lambda, Render, etc.) and call them as API endpoints from Bubble. Cache results in Bubble’s DB.
Pagination + indexed searches
Replace UI-side “Do a search for…” inside repeating groups with paginated server-side queries or precomputed summary records.
Option sets and normalized data
Use option sets where possible for enums and standard attributes to minimize DB row explosion and simplify privacy rules.
Privacy rules & minimal PII in-app
When handling sensitive data, keep minimal identifiers in Bubble and store the rest in encrypted stores; surface only what the UI needs.
WU awareness & monitoring
Add instrumentation (webhooks that report estimated WUs) and throttling for key workflows to prevent surprise bills.
Hybrid stacks
Treat Bubble as the UX & orchestration layer; keep compute, heavy ML, and long-running jobs in purpose-built services.
Release & testing cadence
Use Bubble’s staging environment, test suites, and feature-flag patterns; prefer incremental rollouts for reliability.
Harish Malhi
Founder of Goodspeed
Harish Malhi is the founder of Goodspeed, one of the top-rated Bubble agencies globally and winner of Bubble’s Agency of the Year award in 2024. He left Google to launch his first app, Diaspo, built entirely on Bubble, which gained press coverage from the BBC, TechCrunch, and others. Since then, he has helped ship over 200 products using Bubble and AI, from internal tools to full-scale SaaS platforms. Harish now leads a team that helps founders and operators replace clunky workflows with fast, flexible software without writing a line of code.
Frequently Asked Questions (FAQs)
Can Bubble handle 100K MAU?
Yes, but “can” depends on how the product is built. Apps that reach that scale separate the UI layer (Bubble) from heavy compute and use server-side summarisation and pagination. For example, teams that reported large concurrent usage used caching layers, background summarisation jobs, and selective data denormalisation to keep UI queries fastHow do I keep WU usage predictable?
Design for predictability: convert synchronous workflows into queued jobs, avoid repeating-group-wide searches, add explicit per-action throttles, cache expensive results, and build monitoring that maps events to WU estimates so you can test cost scenarios. Prefer server-side endpoints for functions that would otherwise cause many DB hits.Should I use Bubble’s native mobile builder or a wrapper?
If your product’s core value is native mobile features (camera-first workflows, offline-first sync, push-driven UX), plan for a native app or a sophisticated wrapper from day one and design APIs accordingly. If mobile is secondary, a mobile-optimized web experience or wrapper often reduces time-to-market significantly. Several teams used a wrapper for initial launches and then invested in native apps only when core metrics justified the cost.What about vendor lock-in?
Vendor lock-in is real, but manageable. Adopt an API-first mindset: design systems so that data and business logic can be called via APIs. Keep your export strategy ready (regular backups, exportable data models). Most teams migrate incrementally: replace bottleneck microservices first and keep Bubble as the orchestration/UI layer until costs or scale force deeper migration.You Might Like
