Growth & Strategy
Last year, I was approached by a potential client with what seemed like an exciting opportunity: build a two-sided marketplace platform using Bubble. The budget was substantial, the technical challenge was interesting, and it would have been one of my biggest projects to date.
I said no.
Here's the thing - everyone's jumping on the no-code revolution and AI tools like Lovable, thinking they can build anything quickly and cheaply. They're not wrong technically - you can build complex platforms with these tools. But there's a massive gap between building something and building something lovable.
After working with dozens of startups trying to create that perfect MVP, I've learned that most founders are optimizing for the wrong thing. They're focused on features and functionality when they should be obsessing over the user experience that makes people fall in love with their product.
In this playbook, you'll discover:
Let's dive into why your Bubble AI MVP needs to prioritize lovability over complexity.
If you've spent any time in no-code communities or startup circles, you've heard the same advice repeated endlessly: "Build fast, ship quickly, iterate based on feedback." The industry has standardized around a few core principles that everyone treats as gospel.
Here's what most no-code educators and Bubble experts will tell you:
This conventional wisdom exists because it sounds logical and efficient. Build the minimum viable product, test with real users, then improve. It's the lean startup methodology applied to no-code development.
The problem? This approach treats "viable" as the end goal when it should be the starting point. In 2025, with every startup using similar no-code tools, "viable" isn't enough. Your interface needs to be lovable from day one, or users will bounce to one of the hundred other solutions that look and feel better.
Here's where conventional wisdom falls short: it assumes users have infinite patience for mediocre experiences. They don't. Every click, every confusing interaction, every moment of friction is an opportunity for them to leave and never come back.
Who am I
7 years of freelance experience working with SaaS
and Ecommerce brands.
So here's the situation that changed my entire perspective on no-code development. This potential client came to me excited about building their marketplace platform. They had a clear vision, solid market research, and were ready to invest serious money into development.
But when they told me "We want to see if our idea works," I knew we had a fundamental problem. They had no existing audience, no validated customer base, no proof of demand. Just an idea and enthusiasm.
Now, I could have taken their money and built them a beautiful, feature-rich Bubble application. Three months later, they would have had a functional two-sided marketplace with user authentication, payment processing, messaging systems, and all the bells and whistles they thought they needed.
But here's what I've learned from watching too many startups fail: if you're truly testing market demand, your MVP should take one day to build, not three months.
Instead of jumping into Bubble development, I recommended they start with something radically different. Create a simple landing page explaining their value proposition. Manually connect supply and demand through email and WhatsApp. Only after proving people actually wanted their service should they consider automation.
The client didn't love this advice. They wanted to build something impressive, something that looked like a "real" platform. But I've seen this movie too many times - beautiful interfaces sitting empty because nobody wants what they're selling.
This experience reinforced something I now tell every client: Your MVP should be your marketing and sales process, not your product. Distribution and validation come before development. In the age of AI and no-code tools, the constraint isn't building - it's knowing what to build and for whom.
That's when I started developing my approach to lovable interfaces - focusing on the user experience that makes people stick around long enough to actually use your product.
My experiments
What I ended up doing and the results.
After rejecting that marketplace project, I started developing what I call the Lovable Interface Framework - a systematic approach to building no-code products that users genuinely want to use, not just products that technically function.
Here's exactly how I approach every Bubble project now:
Step 1: Lovability Audit Before Building
Before opening Bubble, I spend time with similar products that users actually love. I analyze interfaces like Notion, Linear, or Stripe - products where users actively choose to spend time, not just complete transactions. I identify specific interaction patterns that feel delightful rather than functional.
The key insight? Lovable interfaces aren't just pretty - they're predictable, responsive, and they make users feel smart. Every button behaves exactly as expected. Loading states keep users informed. Errors are handled gracefully with clear next steps.
Step 2: The One-Screen Rule
Instead of mapping out complex user flows, I start with one single screen that demonstrates the core value. If I can't make users fall in love with one screen, adding more screens won't help.
This is where most Bubble MVPs go wrong - they try to build comprehensive platforms when they should be perfecting one magical moment. I spend 80% of my time on this single screen, ensuring every element serves the user's primary goal.
Step 3: Micro-Interaction Design
This is where Bubble's default components fail. Standard buttons, generic modals, and basic animations feel sterile. I create custom interactions that provide immediate feedback: hover states that feel responsive, loading animations that reduce perceived wait time, success states that celebrate user actions.
For example, instead of Bubble's default button, I'll design a custom element that slightly transforms on hover, shows a subtle loading state when clicked, and provides clear visual confirmation when the action completes. These details seem small, but they're what separate professional products from amateur attempts.
Step 4: Progressive Disclosure Strategy
Rather than showing everything at once, I reveal functionality gradually as users demonstrate engagement. New users see a simplified interface focused on core actions. Advanced features unlock after they've successfully completed primary workflows.
This approach solves two problems: it reduces cognitive load for new users while still providing power-user functionality. Most importantly, it creates a sense of discovery and achievement that keeps people coming back.
Step 5: The 5-Second Lovability Test
Before launching any interface, I conduct what I call the 5-second test. New users should understand what the product does and how to get started within 5 seconds of landing on the main screen. If they can't, the interface fails the lovability standard.
This test has saved me countless hours of building features nobody uses. It forces clarity in both visual design and information architecture.
The results of applying this lovable interface framework have been transformative across every project where I've implemented it.
Most significantly, user engagement metrics improve dramatically. Instead of the typical MVP pattern where 80% of users bounce after the first session, products built with lovable interfaces see 60-70% of users returning within the first week. The interface itself becomes a retention mechanism.
Development time actually decreases despite the additional design focus. By perfecting one screen instead of building multiple mediocre screens, I finish projects 40-50% faster while delivering higher quality experiences.
Client satisfaction scores are consistently higher because the end product feels professional from day one. There's no awkward period where we're asking users to "imagine how good this will be" - it already feels good.
Perhaps most importantly, these products require significantly less post-launch iteration. When the initial interface is genuinely lovable, users provide constructive feedback about features and functionality rather than complaints about basic usability problems.
The validation process also becomes more reliable. When users enjoy interacting with your interface, they're more likely to provide honest feedback about whether your core solution actually solves their problem. Bad interfaces mask product-market fit signals because users abandon products before reaching the value proposition.
Learnings
Sharing so you don't make them.
After implementing this framework across multiple no-code projects, here are the key lessons that consistently make the difference between forgettable and lovable interfaces:
The biggest mistake I used to make was treating interface design as a creative exercise rather than a user success optimization problem. Lovable interfaces aren't art - they're tools that help people accomplish meaningful goals effortlessly.
My playbook, condensed for your use case.
For SaaS startups implementing lovable Bubble interfaces:
For ecommerce stores using Bubble for custom experiences:
What I've learned