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Dating apps made $6 billion in 2025. Not by helping people find love, but by keeping users stuck in the “what the hell am I doing wrong?” loop. I had Bumble Premium and Hinge+ running at the same time, paid week after week, and got basically nothing. That was the tell.
In this episode, we break down the pattern behind that loop: Monetized Uncertainty. When a product withholds signal, keeps you guessing why you are failing, then charges you to feel like it might not be you.
And here’s the part founders need to hear: a lot of SaaS products accidentally run the exact same pattern. They just do it without collecting the check.
What you’ll take away:
Why dating apps profit more when you stay confused than when you succeed
The 2% vs 44% match rate gap, and why the paid tiers are built for the desperate side
Why Hinge is up 25% while Tinder and Bumble decline, and what that signals about “clarity” as a growth strategy
How Monetized Uncertainty shows up in onboarding and retention (users poke around, blame themselves, churn quietly)
The one question that fixes it: Can your user tell if they’re making progress toward the outcome they paid for?
Chapters:
00:00 The $180 I Spent on Dating Apps
03:00 The $6 Billion Reveal
04:00 The Match Rate Gap: 2% vs 44%
05:13 Monetized Uncertainty, Explained
06:40 Your Product Is Doing This Too
07:40 The One Question to Ask This Week
Additional Details:
Weekly UX and conversion intelligence for founders who want to know why products leak users and money:
www.productpotion.com/subscribe
Find exactly where your product is leaking people and what to fix first:
www.productpotion.com/products/revenue-leak-map
Your homepage is not the problem. Your reference sites are.
Most founders vibe coding their products are copying enterprise homepages without realizing it. Every CTA, every hero section, every testimonial block was built to convert a completely different buyer. This episode breaks down exactly what makes a startup homepage work and why copying the big players quietly kills your conversions.
What you'll take away:
Why your CTA is the most honest thing on your homepage and what it's actually telling your visitors
The one move Gamma and Beehiiv both make above the fold that converts better than any headline you could write
Why Notion's homepage works for Notion and would destroy yours
How enterprise logos as trust signals tell solo founders they're in the wrong room
The single CTA rule and why having two primary actions quietly stalls the decision you're trying to force
Chapters:
00:00 Intro: Be Careful Who You Copy
01:00 Gamma vs. Notion
06:00 Beehiiv vs. HubSpot
09:00 3 Checks Before You Rebuild
12:00 Wrap-Up & Action Step
Additional Details:
Weekly UX and conversion intelligence for founders who want to know why products leak users and money here.
Find exactly where your product is leaking people and what to fix first here.
Ten products. Different categories, different stages, different founders. Same five revenue leaks every single time. Here is exactly what I found and what to do about it.
I audit startup products every week for the Leak Ledger — homepage, pricing page, first thing a stranger sees. After 10 of those audits from Product Hunt, the pattern was impossible to ignore. These products were not failing randomly. They were failing at the exact same five spots. None of them require a rebuild to fix. This episode breaks them all down.
What you'll take away:
Why hiding your price does not create curiosity — it creates an exit
The taco rule and why showing proof above the fold beats any headline you could write
How founder speak turns your homepage into a dungeon with no map
Why adding more CTAs quietly stalls the exact decision you are trying to force
The wrong metric mistake and what number actually makes someone pull out their card
Chapters:
00:00 Intro: The 5 Leaks
01:30 Leak 1: The Invisible Price
03:22 Leak 2: Too Big a Promise, Zero Proof
04:54 Leak 3: Founder Speak
06:51 Leak 4: The Multi-Button Panic
08:10 Leak 5: The Wrong Metric
09:59 Wrap-Up & Action Step
Additional Details:
Weekly UX and conversion intelligence for founders who want to know why products leak users and money here.
Find exactly where your product is leaking people and what to fix first here.
LinkedIn Shows You 27 People Viewed Your Profile (And Won't Tell You Who)
LinkedIn built a $2B/year business on a blurred list. Here's the exact psychological mechanism behind it and how to build the same itch into your own product.
LinkedIn doesn't show you who viewed your profile. They show you just enough to make you desperate to know. That is not bad UX. That is a deliberate product decision worth two billion dollars a year. This episode breaks down exactly how they pulled it off and what solo founders can steal from the same pattern today.
What you'll take away:
Why partial information is more powerful than no information at all
The Zeigarnik effect and why your brain physically cannot let go of an incomplete loop
How Strava uses the exact same con with a leaderboard paywall
Why most founders blow the moment they've engineered the itch perfectly
How to find your own tease by watching behavior instead of reading surveys
Chapters:
00:00 LinkedIn's $2B Dark Pattern
00:45 The Partial Context Product Decision
02:00 The Brain Science Behind the Itch
04:00 Strava and the Leaderboard Paywall
05:00 How to Engineer the Itch in Your Product
05:50 Watch Behavior, Not Surveys
06:30 Leak Ledger and the Score Gap
Additional Details:
Weekly UX and conversion intelligence for founders who want to know why products leak users and money here.
Find exactly where your product is leaking people and what to fix first here.
McDonald's serves 70 million people a day. Every single part of that machine — the fries, the menu, the drive-through — is a conversion system. Here's what it means for your product.
McDonald's doesn't sell fast food. They sell a system so optimized that a 19-year-old with zero experience could run a window in a week and keep the whole machine moving. This episode breaks down exactly how they do it, and what solo founders can steal from it today.
What you'll take away:
Why McDonald's loses money on fries on purpose, and what your version of that should be
The pricing anchor that makes everything on the menu feel like a deal
How the drive-through locks in commitment before the customer has time to bail
Why decision fatigue is quietly killing your onboarding before users ever reach your paywall
The accidental secret menu that became a product strategy — and how to build your own laboratory
Chapters:
00:00 I Worked at McDonald's (And Hated Every Second)
00:45 Loss Leader: What's Your Fry?
02:00 Pricing Anchors and the Decoy Effect
04:30 The Drive-Through Is a Conversion Funnel
06:00 Decision Fatigue Is Killing Your Onboarding
07:00 The Secret Menu Laboratory
08:45 Productization and Cognitive Load
Additional Details:
Weekly UX and conversion intelligence for founders who want to know why products leak users and money here.
Find exactly where your product is losing people and what to fix first here.
Every line, every upsell, every $5 water at Disneyland is engineered. Here's the psychology behind it, and how to use it in your own product.
Disney doesn't sell a theme park. They sell manufactured memory. This episode breaks down the exact behavior loops they use to make $1,200 feel worth it, and what that means for your retention strategy.
What you'll take away:
Why the ticket is the cheapest decision you'll make all day, and what price anchoring is doing to your users without you realizing it
How Disney sold a line to skip the line you already paid for, and the behavior loop that makes it feel fair
The sunk cost spending spiral that turns every $5 water into a perfectly rational purchase
Why your product is probably leaking users because leaving costs them nothing
The one thing you need to build before you ever ask for money
Chapters:
00:00 Disney Magic Hook
01:11 The Real Cost
01:34 Dad Memories
03:12 Memory Neuroscience
04:10 Price Anchoring
05:42 Sell The Skip
09:01 Sunk Cost Spending
10:30 Design For Ownership
12:20 Fix Revenue Leaks
12:47 Wrap Up And CTA
Additional Details:
Find the full YouTube video here.
Weekly UX and conversion intelligence for founders who want to know why products leak users and money here.
Find exactly where your product is losing people and what to fix first here.
Most trust signals in 2026 are faked. AI testimonials, inflated social proof, polished brand content — all of it can be manufactured in an afternoon. The one thing that can't be faked is a real founder showing up.
In this episode I break down why founder-led content outlasts paid ads, and share the exact system I use to run Product Potion across LinkedIn, YouTube, and a newsletter — with no team and no budget.
What you'll take away:
Why a study of 500 YC-backed companies found creator content everywhere — and what that means for you
How Cluely's polarizing "cheat on everything" campaign spread faster than any ad spend could buy
The Frodo and Gandalf framework for stopping the pitch and starting to guide
Why paid traffic stops the moment you stop spending — and what organic builds instead
The one-platform rule for getting started without burning out
Chapters:
00:00 Trust Signals Are Broken
00:43 Founder Content Wins
01:30 Guide Don’t Pitch
02:16 Paid vs Organic Trust
02:42 Zero Budget Proof
03:59 My Product Potion System
04:52 Content That Connects
05:19 Keep It Real
05:58 Subscribe and Next Steps
06:45 Final Thanks
Additional Details:
Find the full YouTube video here.
Weekly UX and conversion intelligence for founders who want to know why products leak users and money here.
Find exactly where your product is losing people and what to fix first here.
Your signups are coming in. Your revenue isn't. That's not a product problem — it's a game design problem. You built an unwinnable game.
In this episode I walk through the RPG Map framework — four levels every user has to clear before they pay, and the exact fixes that make each one winnable.
What you'll take away:
Why mapping your product to RPG elements (main quest, side quests, XP signals) instantly reveals where users are dropping
How to build a Level 1 signup flow that doesn't kill momentum before it starts
Why heavy onboarding destroys conversions — and what to show users instead
The blank state mistake that makes your Level 3 feel like a dead end
How to make your checkout feel like keeping progress, not making a purchase
Chapters:
00:00 Signups But No Conversions
00:27 RPG Map Framework
01:36 Level One Signup Flow
02:12 Level Two Onboarding
02:59 Level Three First Screen
04:07 Level Four Checkout
05:17 XP Signals That Convert
06:55 Offer And Resources
07:40 Wrap Up
Additional Details:
Find the full YouTube video here.
Weekly UX and conversion intelligence for founders who want to know why products leak users and money here.
Find exactly where your product is losing people and what to fix first here.
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