TL;DR: Connor, a 23-year-old solo founder with no formal coding background, built a $20K/month mobile app called Payout in under two weeks using AI-powered “vibe coding” and a focus on utility-based apps.
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📺 Title: I vibe coded a $20K/month mobile app in 14 days
⏱️ Duration: 806
👤 Channel: Starter Story
🎯 Topic: Vibe Coded 20Kmonth
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At just 23 years old, Connor has built mobile apps that generate over $1 million in annual subscription revenue—with his latest app, Payout, scaling to $20,000 per month in just 50 days. Even more impressively? He built it 100% with AI in under two weeks. This isn’t theory—it’s a real-world, battle-tested system that won first place in a global hackathon with over 55,000 participants.
In this comprehensive guide, we break down Connor’s entire methodology—step by step—as revealed in his interview on Starter Story. From idea validation and AI-powered “vibe coding” to high-converting onboarding design and explosive growth tactics, you’ll learn exactly how to build, launch, and scale money-making apps fast in today’s AI-driven era.
Who Is Connor? From Gaming Teen to Million-Dollar App Builder
Connor’s journey began like many others: no coding background, no fancy equipment, just curiosity and drive. At 23, he’s built around six mobile apps, all generating subscription revenue, with cumulative sales exceeding $1 million.
His first app, Hotspot Events—a social app—took 6–8 months to build and ultimately failed. But that failure taught him a crucial lesson: social apps are extremely hard to scale as a solo founder. He pivoted to utility and tool-based apps, which are far more manageable and monetizable for one person.
Three years after teaching himself to code via YouTube and Stack Overflow—and even selling items from his room to buy an old MacBook—Connor cracked the code on building apps that make money from day one.
What Is “Vibe Coding”? The AI-Powered App Development Revolution
“Vibe coding” is Connor’s term for using AI tools like Claude to rapidly build functional, revenue-generating apps by feeding the AI visual and structural context—essentially “vibing” with the model to generate working code.
Unlike traditional development, vibe coding prioritizes speed to market over perfection. As Connor puts it: “I don’t recommend being too picky because it’s important to get a version out quickly rather than getting a perfect app out.”
This approach enabled him to build Payout—a class action lawsuit discovery app—in under two weeks, entirely solo, using only AI.
The $20K/Month App: Inside “Payout”
Payout is a mobile app that helps users discover class action lawsuits they’re eligible for—and guides them through claiming their settlement money. For example, it alerted users to the NBA Top Shot privacy settlement related to MetaPixel tracking.
The app includes:
- A personalized onboarding flow
- A searchable list of active class action lawsuits
- Eligibility requirements for each case
- Automated form-filling and PDF generation for submissions
- A “Wallet” tab to track all pending claims
- A “Forms” tab to view completed applications
Within weeks of launch, Payout hit 12,000+ downloads and 300+ new subscriptions, earning $20,000/month in recurring revenue.
Why Payout Worked: Tapping Into Core Human Desires
Connor attributes Payout’s rapid success to its powerful value proposition: helping people make money. He explains:
“There’s some core things that all people want. They want to be healthier. They want to make more money. They want to look attractive… I like to make apps that tap into these core human desires.”
Because the benefit is immediate and tangible—“get free money from companies that did you wrong”—users are highly motivated to pay for the service. This emotional incentive drives high conversion rates, especially when paired with a well-designed paywall.
Step-by-Step: Connor’s Playbook for Building Money-Making Apps
Connor follows a precise, repeatable process for every app. Here’s his full playbook, broken down into actionable phases:
Phase 1: Validate the Idea (Before Writing a Single Line of Code)
Connor distinguishes between two types of app ideas:
- Modified versions of existing apps – Already validated by market demand. Your job is to improve or repackage.
- Brand-new ideas – Require validation via social proof.
For new ideas, he checks TikTok and Instagram to see if people are actively discussing the problem his app solves. He looks for comments like “How do I fix this?” or “Is there an app for this?”—clear signals of demand.
Crucially, Connor skips traditional validation steps (like landing pages or surveys). With AI, he says: “I actually will skip the waitlist steps and just go ahead and build the app.”
Phase 2: Reverse-Engineer High-Converting Onboarding Flows
Connor believes 90% of users will only ever see your onboarding—especially if your app has a paywall early in the flow. So he invests as much time in onboarding as in core functionality.
His process:
- Download 20+ apps in the target niche + other beautifully designed apps.
- Screenshot every screen of their onboarding flows.
- Compile all screenshots in a Figma file in a single horizontal line.
- Identify the best elements (questions, visuals, flows) and remix them into a new, cohesive onboarding experience with his own aesthetic.
Phase 3: Design High-Converting Onboarding Using Psychological Triggers
Connor’s onboarding isn’t just pretty—it’s engineered to convert. He uses four key psychological principles:
| Principle | Why It Works | Implementation Example |
|---|---|---|
| Evoke Emotion | Most purchases are emotional, not logical. | Use language and visuals that make users feel excited, relieved, or empowered. |
| Show Strong Incentives | Users need to see clear life improvement. | Highlight benefits like “Get $200 you didn’t know you were owed.” |
| Personalize the Experience | People want solutions that feel made for them. | Ask qualifying questions early (e.g., “Which services have you used?”). |
| Add Scientific Credibility | Users trust data and social proof. | Include charts, graphs, or stats like “12,342 people claimed this month.” |
Phase 4: Prepare Data Structures for AI (Critical for Vibe Coding)
Before coding, Connor creates a text document
- A written explanation of the data’s purpose
- Sample JSON structures showing how data is shaped
- Descriptions of each attribute
Example (conceptual):
{
"lawsuitId": "nba-top-shot-privacy-2023",
"title": "NBA Top Shot Privacy Settlement",
"description": "Compensation for users tracked via MetaPixel...",
"eligibility": {
"dateRange": ["2021-01-01", "2022-12-31"],
"actions": ["visited website", "created account"]
},
"payoutEstimate": "$50–$300"
}
This context allows AI tools like Claude to generate accurate, relevant code without guessing.
Phase 5: Build Core Features First with AI
Connor skips onboarding during initial development. Instead, he:
- Builds the core functionality first (e.g., lawsuit listing, form generation).
- Uploads Figma screenshots of screens directly into Claude or Cursor.
- Lets the AI generate full-screen code based on the visuals.
- Iterates quickly—accepting 80% accuracy to ship fast.
He uses Expo for cross-platform builds (iOS/Android) and Next.js + TypeScript for the backend and website.
Connor’s Full Tech Stack for Solo App Building
Despite generating six-figure revenue, Connor’s toolset is lean and accessible:
| Category | Tool | Purpose |
|---|---|---|
| AI Coding | Claude | Primary AI for vibe coding—generates UI, logic, and backend code |
| UI/UX Design | Figma | Onboarding flows, app screens, App Store screenshots, app icon |
| Analytics | Mixpanel | User behavior tracking and funnel analysis |
| Subscriptions | RevenueCat | Subscription management, pricing tests, revenue analytics |
| Backend & Web | Next.js + TypeScript | Website and API logic |
| Hosting | Vercel | Deploys frontend and serverless functions |
| Version Control | GitHub | Code repository and CI/CD integration |
| Mobile Builds | Expo | Cross-platform (iOS/Android) build and deployment |
Marketing Playbook: From 0 to $20K/Month in 50 Days
Building the app is only half the battle. Connor used a two-phase growth strategy:
Phase 1: Organic Launch with Influencer & UGC Campaigns
He partnered with a niche-relevant content creator who already had an audience interested in side hustles or legal settlements. The creator produced authentic, relatable videos about Payout, driving thousands of downloads.
Key insight: These videos weren’t ads—they were natural, entertaining content that happened to feature the app. When one video performed well, Connor replicated the format with other creators.
Phase 2: Scale with Paid Ads Using Proven Creative
The UGC content became Connor’s ad creative library. Since the videos already performed well organically, he knew they’d likely convert as paid ads.
He emphasizes a critical balance for modern ad platforms (like Facebook):
“The more entertaining your video is, the cheaper it’ll be to get your video put in front of people… but you also want to make sure that you’re driving conversions.”
His goal: reach a point where paid ads become the primary, consistent growth engine.
The Power of the Paywall: Designing for Maximum Conversions
Payout’s paywall appears early in the user journey and has been “converting really well.” It offers two options:
- Weekly subscription – Lower barrier to entry
- Yearly subscription – Higher lifetime value (LTV)
Connor intentionally designs the UI to prioritize the yearly plan—using visual hierarchy, pricing anchors, and benefit-focused copy to steer users toward the more valuable option.
Why Simple Apps Win: The “1–3 Features” Rule
Connor’s #1 piece of advice for aspiring builders:
“Build something simple with a great onboarding. A simple app can make lots of money. You only really need one to three good features and your onboarding will pull most of the weight for you.”
Complexity kills momentum. Focus on solving one core problem exceptionally well, then wrap it in an onboarding experience that converts.
Lessons from Failure: Why His First App Flopped
Connor’s first app, Hotspot Events, failed because:
- It was a social app—requiring network effects to succeed
- As a solo founder, he couldn’t drive the user growth needed for virality
- Utility apps, by contrast, solve immediate problems and monetize instantly
This failure redirected his entire strategy toward solopreneur-friendly, tool-based apps with clear monetization paths.
Avoiding the Vibe Coding Trap: What Most Beginners Get Wrong
While AI makes building faster, Connor and Pat Walls warn against common pitfalls:
- Trying to “one-shot” a perfect app – Leads to frustration and abandonment
- Not knowing how to guide the AI effectively – Without clear prompts and context (like data structures), output is messy
- Skipping distribution – “Building it” is not enough; you must plan for marketing from day one
Success requires understanding what to build, how to ship fast, and how to leverage AI tools strategically—not just typing vague prompts.
The Hackathon That Proved It All: RevenueCat’s $65K Challenge
Payout was built for the RevenueCat Chipotle Hackathon—a competition with over 55,000 entrants. The goal: launch a new app and achieve the most growth in two months.
Connor won the “Build and Grow” award and the $65,000 grand prize by scaling Payout to $20K/month in revenue—a real-world validation of his entire system.
Key Metrics That Matter for App Success
Connor tracks several critical KPIs:
- Downloads – 12,000+ for Payout
- New Subscriptions – 300+ in early launch
- Monthly Recurring Revenue (MRR) – $20,000
- Conversion Rate – Driven by onboarding and paywall design
- Lifetime Value (LTV) – Maximized by pushing annual plans
He uses RevenueCat and Mixpanel to monitor these in real time and run pricing experiments.
How to Get Started Today: Your Action Plan
Ready to build your own Vibe Coded 20K/month app? Follow this starter roadmap:
- Pick a problem tied to a core human desire (money, health, status, time).
- Validate demand by searching TikTok/Instagram for people asking about it.
- Study 20+ competitor onboarding flows in Figma.
- Design a high-converting onboarding using emotion, incentives, personalization, and data.
- Define your data model in a text file with JSON examples.
- Use Claude to vibe code core features from screenshots.
- Launch fast—don’t wait for perfection.
- Partner with 1–2 micro-influencers in your niche for initial traction.
- Repurpose top-performing UGC into paid ads to scale.
Final Thoughts: The Future Is Solo, AI-Powered, and Profitable
Connor’s story proves that in 2024, a single founder with a laptop, AI tools, and a smart process can build apps that generate life-changing revenue in weeks—not years.
The barrier to entry has never been lower. The tools have never been more powerful. And the market has never been more hungry for simple, useful apps that solve real problems.
As Connor says: “Any app can make thousands of dollars these days.” Your job isn’t to invent the next Facebook—it’s to find a tiny grain of sand in a beach of opportunity… and monetize it brilliantly.
So open Figma. Fire up Claude. Find a problem people care about. And build your Vibe Coded 20K/month app.

