CONTENT
CHAPTER INDEX
HOW STELLA CROSSED $300K MRR
FROM IDEA TO MASSIVE CONSUMER APP IN MONTHS
Sarah Pearl launched Stella, a personalized manifestation app.
According to the interview, Stella crossed $300,000 MRR within roughly 2 months of launch.
The bigger lesson is not manifestation.
It is how she combined distribution, audience insight, AI and speed.
THE NUMBERS
WHAT STELLA ACHIEVED
Sarah shared these numbers during the interview:
1. $300K+ MRR in about 2 months
2. Around $350K–$360K MRR at interview time
3. 12,000 paying customers
4. 200,000+ downloads
Her existing personal brand became a powerful distribution advantage.
WHAT STELLA DOES
A SIMPLE PERSONALIZED PRODUCT
Users tell Stella their dreams, desires and goals.
The app then creates personalized visualizations they can listen to, framed from the perspective of their future self.
It also generates personalized daily affirmations based on what that individual wants to achieve.
WHY THE IDEA WORKED
CHAPTER 1
START WITH YOUR OWN PROBLEM
SARAH WAS ALREADY THE CUSTOMER
Sarah already listened to meditations and visualization content.
She noticed something missing:
Most content was generic.
She wanted visualizations specifically about her exact goals.
That personal frustration became the starting point for Stella.
AI MADE PERSONALIZATION POSSIBLE
A NEW CAPABILITY UNLOCKED THE IDEA
The idea became practical because AI could dynamically generate content for each user.
Instead of recording one meditation for everyone, Stella could create something around one person's exact ambitions.
The product existed because a previously expensive capability became accessible.
SIMPLE CAN BE POWERFUL
YOU DO NOT NEED DOZENS OF FEATURES
Stella's core experience is relatively focused:
1. Tell the app what you want
2. Receive personalized visualizations
3. Receive personalized affirmations
4. Return regularly
The lesson: depth around one useful experience can be more valuable than a product overloaded with features.
BUILD BACKWARDS
CHAPTER 2
MOST FOUNDERS START WITH PRODUCT
SARAH STARTS WITH DISTRIBUTION
Sarah describes her approach as working backwards.
Most founders:
Idea → Product → Launch → Find customers
Her approach:
Content → Audience → Problems → Product
She first learns what people respond to, then builds something that naturally fits that demand.
CONTENT IS MARKET RESEARCH
YOUR AUDIENCE TELLS YOU WHAT TO BUILD
Publishing content creates a continuous research loop.
Watch:
1. What gets attention?
2. What gets saved?
3. What gets shared?
4. What questions appear repeatedly?
5. What do people wish existed?
Those signals can reveal product opportunities before you write code.
READ THE COMMENTS
DEMAND OFTEN APPEARS IN PLAIN SIGHT
Sarah specifically recommends watching what people say in comments.
Comments such as:
'I wish this existed.'
'How do I do this?'
'I'm struggling with this.'
can become product clues.
Instead of guessing demand privately, founders can observe problems publicly.
BUILD A PRODUCT THAT FITS THE CONTENT
DISTRIBUTION AND PRODUCT BECOME ONE SYSTEM
Sarah asks a powerful question after content performs:
What product could naturally be inserted into this content?
The ideal product makes the viewer think:
'I need to close this app and download that right now.'
The product becomes the natural next step after consuming the content.
VIRALITY IS A SKILL
CHAPTER 3
YOU DO NOT NEED TO START FAMOUS
LEARN DISTRIBUTION INSTEAD
Sarah argues that the important asset is not simply having followers.
It is knowing how to repeatedly create attention.
She describes virality as a learnable skill.
Once someone understands how to generate attention, they can potentially rebuild an audience around new accounts, ideas or products.
HER VIRAL CONTENT SYSTEM
STUDY WHAT ALREADY WORKS
Sarah's basic process:
1. Choose a niche
2. Find the most viral content
3. Study why people respond
4. Understand the psychology behind it
5. Create your own versions
6. Repeat successful formats
Do not reinvent the format every day.
WHEN SOMETHING WORKS, REPEAT IT
DO NOT ABANDON PROVEN FORMATS
Sarah says she has recreated the same successful content concepts for years.
Creators often believe every post needs to be completely new.
Her approach is different:
If a format repeatedly gets attention and converts, continue refining and reproducing it.
DESIGN CONTENT TO BE SAVED
CREATE A REASON TO RETURN
One tactic Sarah uses is making content people naturally want to save.
Example:
'Repeat these affirmations for 7 days.'
The viewer immediately has a reason to save the post and return later.
That behavior creates engagement while also increasing the usefulness of the content.
SHARES AND SAVES MATTER
BUILD BEHAVIOR INTO THE CONTENT
Sarah emphasizes content that naturally produces saves or shares.
Instead of asking only:
'Will someone watch this?'
ask:
1. Will someone save it?
2. Will someone send it?
3. Will someone revisit it?
4. Will someone act after watching?
Virality starts with user behavior.
CONTENT → CONVERSION
CHAPTER 4
SHOW THE PRODUCT IN CONTEXT
A DEMO CONVERTS BETTER THAN A MENTION
Sarah says content sometimes performs worse when she merely mentions Stella.
The stronger approach is to show the exact use case.
Someone sees the problem.
Then they immediately see Stella solving it.
The distance between curiosity and understanding becomes much shorter.
THE AFFIRMATION VIDEO
A SIMPLE CONVERSION STRUCTURE
One successful format:
1. Sarah delivers memorable affirmations
2. Someone asks how to remember them
3. Stella becomes the answer
4. The app provides custom daily affirmations
The promotion feels connected to the content because the product resolves the problem created by the video.
VIRALITY AND CONVERSION ARE DIFFERENT
YOU NEED BOTH
A video can generate huge views without producing many customers.
Another video can receive fewer views yet drive more downloads.
Sarah describes the need to balance:
Viral content → maximum attention
Conversion content → clear product use case
A strong content system needs both.
BUILD THE FUNNEL INTO CONTENT
MAKE THE NEXT ACTION OBVIOUS
Sarah also uses automated Instagram flows through ManyChat.
Example:
1. Viewer watches content
2. Viewer comments a keyword
3. Automation responds
4. User receives the offer
5. User downloads Stella
Content does not end with views. It should create a path toward action.
SPEED IS THE ADVANTAGE
CHAPTER 5
BUILD THE MVP FAST
TEST BEFORE PERFECTING
Sarah says speed is one of the most important ingredients in the app market.
Her early Stella MVP was created in roughly 2 days.
The complete product took around 2–3 months.
The goal of the MVP was not perfection.
It was to discover whether the idea had real potential.
AI REMOVES THE TECHNICAL BOTTLENECK
IDEAS CAN BECOME SOFTWARE FASTER
Sarah mentions tools such as Claude Code, Claude, Google AI Studio and Cursor.
Her larger point is more important than the specific tools:
AI dramatically reduces the technical barrier to creating software.
People with strong ideas and distribution can now move much faster toward working products.
SPEED CREATES MORE LEARNING
THE REAL ADVANTAGE OF MOVING QUICKLY
Fast building matters because every launch generates information.
Faster MVP → Faster users → Faster feedback → Faster iteration
Waiting months for perfection delays the most valuable information:
Whether real people actually want what you are building.
DISTRIBUTION IS THE NEW MOAT
CHAPTER 6
CREATORS HAVE A NEW ADVANTAGE
TECHNICAL BARRIERS ARE FALLING
The interview argues that software development is becoming much more accessible because of AI.
That increases the value of skills such as:
1. Understanding an audience
2. Creating attention
3. Building trust
4. Creating community
5. Knowing what people actually want
THE BEST PRODUCT MAY NOT WIN
BEING KNOWN MATTERS
Sarah summarizes her view with a distribution-first principle:
The best product does not automatically win.
The best-known product can have a major advantage.
A technically excellent app with no distribution may remain invisible, while a useful product with strong distribution can scale rapidly.
PERSONAL BRAND REDUCES FRICTION
TRUST EXISTS BEFORE THE DOWNLOAD
Sarah already had a large audience before Stella launched.
Her followers knew her manifestation content and trusted her perspective.
That meant Stella was not appearing from an unknown company.
The product was an extension of a relationship that already existed between creator and audience.
CREATORS CAN SEE DIFFERENT PROBLEMS
AUDIENCE KNOWLEDGE BECOMES PRODUCT KNOWLEDGE
Sarah believes many consumer opportunities remain invisible to traditional app builders.
People deeply involved in a community understand problems outsiders may never notice.
That creates an advantage:
Live inside the problem → understand the audience → notice the gap → build the solution.
INNOVATE, DO NOT ONLY COPY
CHAPTER
STELLA FILLED A GAP
NEW CAPABILITY + EXISTING DEMAND
Sarah believes one reason Stella grew quickly was that she was not simply cloning another app.
She combined:
Existing behavior: manifestation and visualization
New capability: AI personalization
Distribution: her content audience
The result was a product that felt familiar and new at the same time.
LOOK FOR UNSOLVED PROBLEMS
DO NOT BEGIN WITH ANOTHER CLONE
Sarah's advice to app founders is to invent something that solves a problem that has not been properly solved before.
Start with:
1. What people already do
2. What frustrates them
3. What they wish existed
4. What new technology now makes possible
The intersection can reveal the opportunity.
DO NOT FEAR CRITICISM
ATTENTION CAN CREATE RESISTANCE
Sarah discusses receiving criticism online, including criticism around using AI.
Her response was to reframe it.
Controversial videos sometimes became her strongest-performing content.
Her lesson is not to manufacture outrage, but to avoid allowing criticism to stop experimentation and publishing.
THE STELLA PLAYBOOK
A REPEATABLE SYSTEM
1. Pick a niche you understand
2. Create content consistently
3. Study what becomes viral
4. Read comments for problems
5. Find an unmet need
6. Build a fast MVP with AI
7. Insert the product naturally into content
8. Track conversion
9. Repeat what works
10. Improve the product from real feedback
THE BIG SHIFT
FROM DEVELOPER-FIRST TO DISTRIBUTION-FIRST
Software used to require significant technical skill, time and capital.
AI is reducing that barrier.
As building gets easier, other advantages become more important:
Audience.
Trust.
Taste.
Insight.
Storytelling.
Distribution.
Knowing what to build may become more valuable than knowing how to code every part yourself.
DON'T ASK: WHAT APP SHOULD I BUILD?
ASK A BETTER QUESTION
A better starting question is:
'What problem keeps appearing inside the audience I understand?'
Create content.
Watch behavior.
Read comments.
Notice repeated frustrations.
Then build the product that feels like the obvious next step.
Distribution can reveal the product.
CONTENT → INSIGHT → PRODUCT → GROWTH
THE CORE LESSON
Stella's story can be reduced to one system:
CONTENT
creates attention.
ATTENTION
creates audience insight.
INSIGHT
reveals product opportunities.
AI
makes building faster.
PRODUCT
solves the observed problem.
CONTENT
then becomes distribution again.
The loop keeps compounding.
HOW HIS FIRST APP REACHED $25K/MONTH
YOUTUBE SUMMARY : STARTER STORY
CHAPTER INDEX
FROM ZERO TO $25K/MONTH
THE RESULT
Kian was 21, still in college, and had never shipped a product before.
Within about 5 months, his first project reached:
1. 100,000+ users
2. ~$25K revenue in 4 weeks
3. 1,400 new subscribers in 3 months
4. A growing web + mobile business
THE BUSINESS IS SURPRISINGLY SIMPLE
TINY PROBLEM, REAL VALUE
Tone Adapt does one narrow job:
Help guitarists sound like their favorite songs.
Users enter their guitar, amp and gear, choose a song, and the app recommends the settings needed to recreate that tone.
The value proposition can be understood in seconds.
THE CORE PLAYBOOK
CHAPTER 1
THE FORMULA
WHAT ACTUALLY HAPPENED
The business followed a simple sequence:
1. Start with a hobby
2. Notice your own problem
3. Confirm others have it
4. Build V1 fast
5. Charge immediately
6. Post every day
7. Find winning content
8. Repeat the winner aggressively
START WITH SOMETHING YOU ALREADY KNOW
BECOME YOUR OWN CUSTOMER
Kian had been playing guitar almost every day for more than a year.
That mattered.
He already understood:
• The language
• The equipment
• The frustrations
• What guitarists wanted
He did not need to invent a customer persona. He was the customer.
LOOK FOR SMALL FRICTION
NOT GIANT IDEAS
The opportunity was not "reinvent learning guitar."
It was much smaller:
"How do I make my guitar sound like this song?"
Good niche products often begin with:
• Slow processes
• Inaccurate answers
• Repetitive work
• Missing convenience
• Something you repeatedly wish existed
THE IDEA
CHAPTER 2
HE WAS ALREADY USING CHATGPT
THE EXISTING WORKAROUND
Before Tone Adapt existed, Kian was asking ChatGPT how to reproduce guitar tones.
It worked imperfectly.
That revealed an opportunity:
People were already trying to solve the problem.
The behavior existed.
The dedicated product did not.
DON'T SEARCH FOR IDEAS
SEARCH FOR BROKEN WORKFLOWS
A useful question is not:
"What app should I build?"
Ask:
"What annoying thing do I repeatedly do inside a hobby, job or industry I already understand?"
Your current workaround may be the product opportunity.
CONFIRM OTHER PEOPLE FEEL IT
LIGHTWEIGHT VALIDATION
Kian talked with other guitarists through Reddit, Instagram and comment sections.
They had the same problem.
He did not run months of formal research.
The signal was simple:
"I have this problem, and people like me have it too."
SMALL PROBLEMS CAN SERVE BIG MARKETS
RICHES IN NICHES
A problem does not need to affect everyone.
A tiny problem shared by thousands of people can become a meaningful business.
You need:
Small problem
×
Enough people
×
Enough pain
×
Willingness to pay
BUILDING V1
CHAPTER 3
BUILD THE SIMPLEST USEFUL VERSION
ONE WEEK
Kian built his first version during Thanksgiving break.
It took about one week.
It was also the first complete product he had ever built.
The goal was not technical perfection.
The goal was to make the core outcome work.
AI COLLAPSED THE BUILDING COST
VIBE CODING
Kian said every line of the original project was generated through AI-assisted coding.
His stack included:
• Supabase
• Vercel
• Stripe
• Mailgun
• OpenAI API
• Tavily API
AI made building dramatically faster, even for a first-time founder.
WEB FIRST
VALIDATE BEFORE EXPANDING
His advice:
Ship V1 on the web first.
Why?
1. Faster to build
2. Faster to change
3. Easier to test demand
4. You can charge immediately
5. Customer feedback guides the next version
The mobile app came after the web product proved itself.
DON'T POLISH BEFORE PROOF
REVENUE BEFORE DECORATION
His launch philosophy was simple:
Do not spend days choosing logos, polishing screens or adding unnecessary features.
Build the useful core.
Publish it.
Charge money.
Real users will tell you what deserves improvement.
THE PRODUCT
CHAPTER 4
INPUT YOUR OWN GEAR
PERSONALIZED OUTPUT
Tone Adapt asks users what equipment they actually own.
Users can select:
• Guitar
• Amplifier
• Built-in effects
• Pedals
Its database includes more than 1,500 guitars and 2,000 amps, covering a large range of possible setups.
SEARCH ANY SONG
THE JOB TO BE DONE
The user chooses a song they want to sound like.
The app researches the original tone and provides information such as:
1. Guitar
2. Pickups
3. Amplifier
4. Estimated amp settings
5. Effects
6. Pedals
THE MAGIC IS ADAPTATION
NOT INFORMATION
The strongest feature is not showing what equipment the artist used.
It translates that sound into settings for the user's existing equipment.
That turns information into an actionable answer:
"Given what I own, tell me exactly what to do."
MONETIZATION
CHAPTER 5
CHARGE FOR THE RESULT
SUBSCRIPTION MODEL
Tone Adapt monetized through subscriptions.
The interview mentioned pricing around:
• $10 per week
• ~$60 per year
The customer is paying for speed and convenience:
Instead of researching equipment and experimenting manually, the app gives an answer in under 30 seconds.
THE REVENUE PROOF
WEB + MOBILE
During the interview, Kian showed approximately:
• $11.5K web revenue over 4 weeks
• $14K mobile revenue over 4 weeks
• 397 active mobile subscribers
• $45K web revenue over 3 months
• 1,400 new subscribers over 3 months
DISTRIBUTION
CHAPTER 6
BUILDING WASN'T THE BREAKTHROUGH
ATTENTION WAS
A useful app does not automatically get customers.
Kian's major advantage was distribution.
Before building Tone Adapt, he had already created UGC for brands.
That taught him how social content attracts attention.
He combined product building with content creation.
THE FIRST VIDEO WENT VIRAL
BUT THAT WAS NOT THE STRATEGY
His first Tone Adapt video went viral overnight.
The important lesson was what happened next.
He did not depend on one viral hit.
He treated the winning video as evidence that a content format worked and started repeating the process.
POST 3 TIMES A DAY
VOLUME CREATES LEARNING
His marketing system was aggressive:
1. Post about 3 times per day
2. Repost across multiple platforms
3. Use Instagram
4. Use TikTok
5. Use YouTube
6. Use Facebook
More attempts created more chances to discover formats that converted.
SHOW YOUR FACE
FOUNDER-LED TRUST
Kian put his face behind the brand immediately.
Users could watch him:
• Build the product
• Improve features
• Add gear
• Respond to feedback
• Grow the business
The product became a journey people could follow rather than an anonymous utility.
YES, THE FIRST VIDEO FELT EMBARRASSING
PUBLISH ANYWAY
Kian said his first video felt embarrassing and some friends made fun of it.
After publishing it, that fear quickly disappeared.
The lesson:
The psychological barrier to posting is often strongest before the first post, not after it.
THE CONTENT SYSTEM
CHAPTER 7
SHOW THE PRODUCT WORKING
DEMONSTRATE, DON'T EXPLAIN
One of Kian's recommendations was to show the product solving the problem in real time.
For Tone Adapt, that is naturally visual:
Song → gear → recommended settings → desired guitar tone.
A strong product demo compresses the value proposition into seconds.
POST BEFORE YOU KNOW WHAT WORKS
CONTENT IS EXPERIMENTATION
Do not wait until you understand the perfect content strategy.
Posting creates the data.
Each post teaches you:
• Which hook stops attention
• Which demo gets clicks
• Which format converts
• Which message fails
You discover the strategy by publishing.
FIND ONE WINNER
THEN TURN IT INTO A TEMPLATE
Once one piece of content converts, it becomes a template.
Instead of constantly inventing new concepts:
Keep the structure.
Change the song.
Change the hook.
Change the example.
Change the opening.
Repeat the proven mechanism with small variations.
REMAKE THE WINNER 50 TIMES
SCALE WHAT WORKS
Kian's playbook becomes aggressive after discovering a winner:
1. Remake the format repeatedly
2. Create small variations
3. Hire UGC creators
4. Produce dozens of versions
5. Put ad spend behind winners
6. Continue until performance fades
RIDE THE FORMAT UNTIL IT DIES
DON'T ABANDON SUCCESS TOO EARLY
Founders often get bored with a message before the market does.
His approach:
Winner → repeat → amplify → distribute → advertise → repeat again.
When performance eventually declines, search for the next winner and run the system again.
WHY THIS MATTERS NOW
CHAPTER 8
AI MAKES BUILDING CHEAP
SO BUILDING BECOMES LESS RARE
AI coding tools are reducing the skill, time and cost required to create software.
That means more people can build apps.
As creation becomes easier, simply having a functioning product becomes less differentiated.
The scarce resource shifts toward attention.
THE FUTURE IS A SEA OF APPS
DISTRIBUTION BECOMES THE MOAT
If everyone can build software quickly, customers will face thousands of similar products.
The winner may not be the person who can code best.
The winner may be the founder who can repeatedly:
Build → explain → demonstrate → distribute → earn trust.
CONTENT IS A FOUNDER SKILL
NOT A MARKETING DEPARTMENT
Kian's final advice was to start posting on social media even before having a product.
Why?
Creating content teaches:
• Communication
• Hooks
• Storytelling
• Distribution
• Audience understanding
• Trust building
Those skills compound before your next product exists.
THE $25K/MONTH PLAYBOOK
CHAPTER 9
STEP 1 — PICK YOUR WORLD
START CLOSE TO YOURSELF
Pick something you already understand deeply.
Examples:
• Guitar
• Running
• Photography
• Cooking
• Accounting
• Real estate
• Design
• Gaming
Do not begin with technology.
Begin with a world where you understand the user's daily reality.
STEP 2 — FIND ONE ANNOYANCE
LOOK AT REPEATED FRICTION
Write down things that regularly make you say:
"This takes too long."
"Why isn't there a tool for this?"
"I always have to search for this."
"The existing answer is inaccurate."
"I keep doing this manually."
One repeated annoyance can be enough.
STEP 3 — FIND PEOPLE LIKE YOU
VALIDATE THE PAIN
Search communities where similar people already gather.
Read:
• Reddit threads
• Comments
• Forums
• Facebook groups
• Discord communities
• YouTube comments
You are looking for repeated evidence that the same problem appears naturally.
STEP 4 — BUILD THE CORE OUTCOME
IGNORE EVERYTHING ELSE
Build only enough functionality to produce the promised result.
For Tone Adapt:
Input gear + choose song → receive settings.
That is the core.
Authentication, branding, dashboards and extra features matter only after the central job works.
STEP 5 — PUT A PRICE ON IT
TEST WILLINGNESS TO PAY
Do not validate only with compliments.
Ask the market for money.
A payment answers a much stronger question:
Not:
"Do people think this is cool?"
But:
"Is this problem important enough that someone will pay to solve it?"
STEP 6 — POST EVERY DAY
CREATE DISTRIBUTION
Turn marketing into a daily operating system.
Publish the problem.
Publish the demo.
Publish the result.
Publish customer reactions.
Publish improvements.
Publish the founder journey.
Attention should grow alongside the product, not after the product is finished.
STEP 7 — SCALE SIGNALS
LET DATA CHOOSE
When a post clearly generates more views, clicks, signups or purchases:
Do not merely celebrate it.
Study it.
Identify:
1. Hook
2. Format
3. Demo
4. Story
5. CTA
Then build variations around the winning structure.
THE BIG LESSON
SIMPLE CAN BECOME SUBSTANTIAL
Tone Adapt did not need to become the ultimate guitar platform.
It solved one specific problem extremely clearly.
That is the bigger opportunity AI creates:
Thousands of narrow problems that were previously too small or expensive to build software for can now become viable products.
BUILD SMALL. DISTRIBUTE BIG.
FINAL TAKEAWAY
You do not need a revolutionary idea.
You need:
A problem you understand.
A customer you understand.
A simple useful solution.
A fast way to ship.
A willingness to charge.
And relentless distribution.
The product can start tiny.
The audience does not have to.
I QUIT META FOR A $30K/MONTH SAAS
YOUTUBE SUMMARY : STARTER STORY
I QUIT META FOR A $30K/MONTH SAAS
FROM SIDE PROJECT TO FULL-TIME FOUNDER
Matt built Live Tourney, a golf tournament SaaS, while working as a senior software engineer at Meta.
The business reached roughly $30K/month, forcing a difficult question:
Keep the secure job—or go all in?
THE BUSINESS AT A GLANCE
A NICHE SAAS WITH REAL TRACTION
Live Tourney helps golf courses run tournaments.
At the time of the interview:
1. ~150 golf courses had started using it
2. ~US$350K ARR
3. Early-year performance implied an ~US$800K run rate
4. Matt was still employed full-time at Meta
FINDING THE SAAS IDEA
CHAPTER 1
THE IDEA CAME FROM A REAL PROBLEM
HE EXPERIENCED THE PAIN HIMSELF
Matt played tournaments at his local golf course and noticed they were not using digital scoring.
He knew Golf Genius existed, so he asked the golf pro why they did not use it.
The answer: it was too complicated and too expensive.
THAT COMPLAINT BECAME THE OPPORTUNITY
SIMPLE + AFFORDABLE = WEDGE
Instead of inventing a market, Matt found a gap inside an existing one.
The customer already wanted tournament software.
The problem was the current option did not fit them.
His opportunity: build something simpler, easier, and better suited to the course.
HE BUILT FOR THE FIRST EVENT
START WITH ONE REAL USE CASE
Matt built the first version for an actual tournament around four years earlier.
It began as a nights-and-weekends project.
He was not building a theoretical startup.
He had a real event, real users, and a clear job the software needed to do.
OBSESSION HELPED HIM KEEP GOING
THE PROJECT PULLED HIM BACK EVERY DAY
Matt said he would wake up wanting to build, and often wanted to keep improving it before going to sleep.
That energy mattered.
A side project competes with your job, family, rest, and free time.
Caring about the problem made the long build sustainable.
HOW THE PRODUCT WORKS
CHAPTER 2
THE PRODUCT IS VERY FOCUSED
TOURNAMENT SCORING FOR GOLF COURSES
The workflow is intentionally simple:
1. Players receive a scorecard
2. They scan a QR code
3. They select their group
4. They enter scores during the round
5. The leaderboard updates in real time
THE VALUE IS EASY TO UNDERSTAND
LESS COMPLEXITY DURING TOURNAMENTS
The product does not try to become everything for golf.
It solves one operational problem: tournament scoring.
For the course, it simplifies running the event.
For players, it makes scoring and leaderboard tracking easy from a phone.
THE TECH STACK STAYED PRACTICAL
WEB APP, NOT UNNECESSARY COMPLEXITY
Matt built Live Tourney as a web app.
Tech stack mentioned in the interview:
1. Next.js for rendering
2. Google Firebase for the backend
The important part was not exotic technology. It was shipping software that solved a specific customer problem.
BUILDING WHILE EMPLOYED
CHAPTER 3
KEEP BOTH AS LONG AS POSSIBLE
SALARY FUNDED PATIENCE
Matt planned to keep his Meta job and the SaaS running together for as long as it remained sustainable.
That gave him:
1. Salary
2. Benefits
3. Lower financial pressure
4. Time to grow gradually
5. Proof before taking a bigger risk
TWO FULL-TIME LIVES HAVE A LIMIT
GROWTH CREATED A NEW PROBLEM
Eventually, maintaining both stopped being sustainable.
Matt was balancing:
1. A senior engineering role
2. A growing SaaS
3. Two young children
4. Early mornings and late-night product work
The business had become too real to remain a side project forever.
HIS SIDE-PROJECT SCHEDULE
PROTECT DEDICATED BUILD TIME
His advice for people building while employed was simple: set aside dedicated time.
For Matt, that meant roughly 6:00 a.m. to 9:00 a.m.
He did not wait for free time to appear.
He created a repeatable block where the business could move forward every day.
THE SIDE JOB WAS ALSO VALIDATION
PROVE THE HARD PARTS BEFORE QUITTING
Before leaving Meta, Matt had already proven several things:
1. Customers would pay
2. The product delivered value
3. Revenue could grow
4. He could acquire customers
5. He could stay productive while independently building the startup
THE DECISION TO QUIT META
CHAPTER 4
THE FIRST EMOTION WAS FEAR
A GREAT JOB IS HARD TO LEAVE
Matt described the decision as frightening.
A Meta job offered strong income and a comfortable life.
Going full-time on Live Tourney meant giving up a predictable path for something he controlled—but something that could also fail.
JOB SECURITY WAS NOT ABSOLUTE
EMPLOYMENT ALSO CARRIES RISK
Matt had been at Meta for six years and had seen multiple rounds of layoffs.
He had not been affected, but the experience changed how he viewed security.
A salary can feel stable, yet employment is never completely guaranteed.
HIS HEART WAS ALREADY IN THE SAAS
ENERGY BECAME A DECISION SIGNAL
Matt said that when he thought about what gave him energy in the morning and where he wanted to spend his time, the answer was Live Tourney.
He could see a path from a small SaaS into a legitimate, meaningful company.
That made the opportunity hard to ignore.
THE QUESTION WAS BIGGER THAN MONEY
WHAT KIND OF LIFE DO YOU WANT?
Financially, staying at Meta could still look rational.
But Matt had started the business to create freedom, build his own thing, and show his children that they could create their own path.
The decision became about ownership, time, identity, and ambition.
HOW TO FIND A SAAS IDEA
CHAPTER 5
START WHERE YOU ALREADY CARE
INTEREST CREATES STAYING POWER
Matt's advice for finding an idea:
1. Start with something you care about
2. Look for what feels broken
3. Find a way to make it better
4. Build and test it
His golf SaaS worked partly because he understood and enjoyed the world he was building for.
DOMAIN KNOWLEDGE IS AN ADVANTAGE
YOU NOTICE PROBLEMS OUTSIDERS MISS
Someone who plays golf notices golf workflow problems.
Someone outside the niche may only see 'software for golf courses.'
Being close to the customer helps you recognize pain, language, behavior, and buying context that outsiders may overlook.
THE FIRST INTERNET DOLLAR CHANGES YOU
REVENUE MAKES THE IDEA REAL
Matt described his first customer and first online revenue as a major mental shift.
The code was no longer only a project.
A stranger was paying for something he built.
That proved the software created enough value for someone to exchange money for it.
SEEING REAL USERS IS EVEN BETTER
SOFTWARE BECOMES IMPACT
One of the most fulfilling moments was visiting a customer location and watching people use the product.
Some users would never know who built it.
That is the power of software: something created by one person can quietly improve the experience of many strangers.
THE FINAL DECISION
CHAPTER 6
THREE WEEKS LATER: HE WENT ALL IN
THE BUSINESS WAS READY
After thinking it through, Matt decided to leave Meta and work on Live Tourney full-time.
His reasoning was straightforward:
This was what he had wanted from the beginning.
The real question was whether the business was ready.
He decided it finally was.
HE WAS NOT FORCED OUT
HE CHOSE THE RISK HIMSELF
Meta had recently gone through layoffs, but Matt was not laid off.
He was leaving a job he still had, not reacting to losing it.
His manager was supportive—and as a golfer, understood why Matt was excited about the business.
FAMILY WAS PART OF THE DECISION
FOUNDER RISK AFFECTS MORE THAN ONE PERSON
Matt had a wife and two children, so quitting was not an individual decision.
His wife supported the move.
Going full-time also created another kind of flexibility: he could choose his hours, help at home, and spend time with his children during the day.
NOW THE CONSTRAINT CHANGES
FROM FINDING TIME TO USING TIME WELL
Before quitting, the problem was lack of time.
After quitting, the challenge becomes how to use a full day effectively.
Matt wanted to focus more on growth, be more public about what he was building, and discover how to make each day move the company forward.
THE FOUNDER PLAYBOOK
CHAPTER 7
THE LIVE TOURNEY PLAYBOOK
FROM PROBLEM TO COMPANY
1. Live inside a niche
2. Notice an expensive or frustrating problem
3. Build for one real use case
4. Keep the first product focused
5. Sell before quitting
6. Use salary to reduce pressure
7. Protect daily build time
8. Go full-time when traction and capacity justify it
DO NOT QUIT JUST TO FEEL LIKE A FOUNDER
VALIDATION GIVES YOU LEVERAGE
The strongest part of Matt's story is not that he quit Meta.
It is that he built before quitting.
By the time he went full-time, he already had customers, revenue, product usage, and evidence of demand.
The leap still carried risk, but it was an informed risk.
BUILD ENOUGH EVIDENCE TO EARN THE LEAP
THE BIGGER LESSON
A side project can become a business when three things compound:
1. You understand the problem deeply
2. Customers repeatedly pay for the solution
3. The opportunity becomes large enough that limited time is now the bottleneck
Then going all in becomes a business decision—not only a dream.
HOW A SIMPLE APP MAKES $18K/MONTH
YOUTUBE SUMMARY : STARTER STORY
CHAPTER INDEX
$18K/MONTH FROM A POMODORO TIMER
THE SURPRISING BUSINESS
Cat on Chair sounds almost too simple:
A Pomodoro timer where a cat sits beside you while you work.
Yet the app reached 127K+ downloads, nearly $80K in sales over 8–9 months, and more than $18K in sales during one 30-day period.
THE BIG LESSON
SIMPLE SOFTWARE CAN STILL WIN
The opportunity was not creating another productivity feature.
It was turning a familiar utility into something people emotionally wanted to use, collect, customize, and share.
The timer was ordinary.
The experience around it was not.
1. THE PRODUCT
WHAT CAT ON CHAIR ACTUALLY DOES
A POMODORO TIMER FOR CAT LOVERS
UTILITY + PERSONALITY
The core function is familiar:
1. Start a focus session
2. Work for a set period
3. Take a break
4. Repeat
But when the session starts, a cat jumps onto a chair and stays with you while you focus.
THE CAT BECOMES YOUR COMPANION
MAKING FOCUS FEEL EMOTIONAL
Ryan and his girlfriend asked:
“How can we replicate the physical feeling of having a cat beside you?”
That question shaped the product.
Instead of feeling like a cold timer, Cat on Chair tries to create the calm, comforting experience cat owners recognize.
FINISH A SESSION. GET A GIFT.
A REWARD LOOP
When users successfully finish a focus session, the cat leaves them a gift.
If the session fails, the cat can leave trash instead.
It turns productivity into a small reward loop:
Focus → Complete → Receive → Collect → Return.
COLLECT CATS, FURNITURE & WORLDS
INSPIRED BY GAMES
The experience expanded with customization:
• Different cats
• Furniture
• Backgrounds
• Animated scenes
• Collectible gifts
Ryan's girlfriend was an Animal Crossing fan, helping inspire the idea of making the environment personal and collectible.
THE APP GREW BEYOND A TIMER
MORE REASONS TO RETURN
The product eventually included:
1. Focus timer
2. Gift collection
3. Cat interactions
4. Custom environments
5. Focus history timeline
6. Stickers
7. To-do lists
The timer remained the utility, while the surrounding system increased engagement.
2. THE BUSINESS MODEL
HOW A FREE APP MAKES MONEY
FREE TO ENTER
LOW-FRICTION ACQUISITION
Cat on Chair is free to download and use.
That gives users an easy way to experience the core product before paying.
Monetization comes from Pro features and paid plans rather than charging everyone before they experience the app.
THE PAID PLANS
SIMPLE PRICING
The app offered:
• Lifetime: $29.99
• Annual: $19.99
• Family sharing: up to 6 people
Ryan said most sales came from the lifetime plan.
The model combines a large free audience with optional paid upgrades.
THE NUMBERS
PROOF OF DEMAND
Reported results included:
• 127K+ total downloads
• Nearly $80K sales in 8–9 months
• $18K+ sales in one 30-day period
• Around 24K first-time downloads in that period
The app turned a narrow idea into a meaningful indie software business.
APP STORE MOMENTUM
TAIWAN BREAKOUT
At its peak in Taiwan, Cat on Chair reportedly reached:
#3 — Free Productivity Apps
#11 — All Free Apps
The product initially found stronger traction in Chinese-speaking and Taiwanese markets before the team began targeting a wider global audience.
3. FROM DESIGNER TO BUILDER
WHY THIS STORY MATTERS
HE WASN'T AN APP DEVELOPER
RYAN'S STARTING POINT
Ryan worked as a product designer at technology startups.
He said he left a roughly $200K job because he felt he was using only part of his potential.
His ambition was to stop designing pieces of other people's products and start shipping products of his own.
AI CHANGED WHAT HE COULD BUILD
THE CAPABILITY SHIFT
Ryan had wanted to ship an iOS app, but coding had been the barrier.
Around 2025, he felt AI coding had become viable enough to make that possible.
His existing advantage was product design.
AI helped him extend that advantage into software development.
YOUR OLD SKILL BECOMES YOUR EDGE
A KEY FOUNDER PRINCIPLE
Ryan did not compete by becoming the world's best programmer.
He used AI for implementation while leaning heavily on what he already understood:
Product design, interaction, visual quality, taste and user experience.
His existing skill became the product's differentiation.
4. THE BUILD TIMELINE
IT WAS NOT AN OVERNIGHT SUCCESS
MAY 2025: START BUILDING
FIRST PROTOTYPE
Ryan started around May 2025.
The first goal was small: make a working Pomodoro timer.
After several weeks, they had the basic timer working.
Only then did they begin developing the cat concept, animations and interaction mechanics around it.
AUGUST: FIRST REAL VERSION
PRODUCT TAKES SHAPE
By August, the first version was ready enough for testing.
Ryan recruited dozens of beta testers through RedNotes.
They spent roughly a month:
• Gathering feedback
• Fixing bugs
• Improving mechanics
• Iterating the experience
AUGUST 27: LAUNCH
3,000 DOWNLOADS IN WEEK ONE
Cat on Chair launched on August 27.
It received around 3,000 downloads in its first week.
But launch did not mean the product was finished.
Serious bugs still existed, including problems with data synchronization between devices.
THE REALITY AFTER LAUNCH
SHIPPING IS ONLY THE BEGINNING
Even after a month of beta testing, users still discovered major problems.
Ryan said the app did not become relatively stable until around December or January.
The lesson:
Beta testing reduces risk.
Real users reveal problems testing cannot.
5. HOW IT GREW
THE ORGANIC DISTRIBUTION CHAIN
START WHERE YOU ALREADY HAVE ACCESS
REDNOTES BECAME THE FIRST CHANNEL
Ryan's girlfriend already shared her illustrations on RedNotes and had followers there.
So they did not begin by searching for the perfect growth channel.
They started with an audience and platform already available to them.
That became the app's first distribution advantage.
THE FIRST SMALL VIRAL MOMENTS
ORGANIC DISCOVERY
Cat on Chair experienced several smaller viral moments on RedNotes.
Its visual design made the product easy to notice in feeds.
People did not need a long explanation to understand it:
A cute cat + a beautiful environment + a productivity timer.
THEN INSTAGRAM EXPLODED
A MAJOR DISTRIBUTION EVENT
The major breakout happened when Instagram creators featured Cat on Chair in app-collection posts.
One post reportedly generated more than 2 million views.
That exposed the app to a much larger audience without the founders needing to build a conventional paid marketing campaign.
INSTAGRAM → THREADS → TAIWAN
VIRALITY CROSSED PLATFORMS
Someone in Taiwan discovered the app and shared it on Threads.
It went viral again.
The sequence became:
RedNotes → Instagram → Taiwan → Threads → New users
Ryan said this chain of events essentially doubled downloads and revenue overnight.
THE PRODUCT WAS THE AD
WHY ORGANIC SHARING WORKED
Cat on Chair had a built-in distribution advantage:
It looked interesting enough to share.
A screenshot could communicate the personality immediately.
Influencers could place it inside an “apps you should try” post without needing to explain complicated functionality.
6. WHY THIS TIMER WON
DIFFERENTIATION IN A CROWDED CATEGORY
THE FEATURE WAS NOT UNIQUE
POMODORO ALREADY EXISTED
There are thousands of Pomodoro timers.
Ryan knew meaningful innovation in the basic timer itself would be difficult.
So the team did not ask:
“How can we build a better timer?”
They asked how the entire experience surrounding the timer could feel different.
UTILITY × EMOTION
THE DIFFERENTIATION FORMULA
The core formula became:
Pomodoro utility
+
Cat companionship
+
Beautiful illustration
+
Customization
+
Collection mechanics
=
A productivity product with personality.
The competitive advantage emerged from the combination.
RECREATE A REAL-WORLD FEELING
A POWERFUL PRODUCT QUESTION
Many of the best features came from one question:
“How do we reproduce the physical experience of having a cat with you?”
That led naturally to cats sitting beside users, gifts, personalities, sounds, animations and interactions.
The concept became a feature generator.
GIVE EVERY CAT A PERSONALITY
BUILD CHARACTERS, NOT ASSETS
The cats were not treated as interchangeable graphics.
They received personalities and backstories.
This makes collecting different cats more meaningful because each one can feel like a character.
Small narrative details make a digital object easier for users to become attached to.
USERS EXPANDED THE IDEA
FEEDBACK BECAME PRODUCT DEVELOPMENT
Users wanted deeper interaction with the cats.
So the team added behaviors such as a meow animation when users tap the cat or say its name aloud.
The product evolved through a loop:
Ship → Observe → Listen → Add → Repeat.
DESIGN BECAME THE MOAT
HARDER TO COPY THAN FEATURES
Ryan credited his girlfriend Stephanie's illustration style as a major part of the product.
The visual identity made Cat on Chair feel handcrafted.
Competitors can copy a timer.
They can copy a checklist.
A coherent world, characters, taste and personality are much harder to reproduce convincingly.
WHEN SOFTWARE CREATES EMOTION
MORE THAN PRODUCTIVITY
One user told Ryan that after her real cat passed away, she found a similar-looking cat inside the app.
Using it made her feel like she could see her cat again.
That story shows how the product had moved beyond functionality and created a genuine emotional connection.
7. GAME MECHANICS
BORROW RETENTION FROM ANOTHER INDUSTRY
REMIX, DON'T JUST INVENT
RYAN'S PRODUCT ADVICE
Ryan recommends studying products you already use, then looking outside their category for mechanics worth borrowing.
For Cat on Chair, games became an important source of inspiration because games are designed around motivation, rewards, progression and retention.
THE RETENTION LOOP
WHY USERS HAVE REASONS TO RETURN
Cat on Chair combines several recurring loops:
1. Focus to earn gifts
2. Collect rewards
3. Customize the environment
4. Unlock or switch cats
5. Review progress
6. Return for another session
Productivity creates progress inside the virtual world.
PRODUCTIVITY BECOMES PLAY
A CATEGORY REMIX
Traditional productivity software often focuses on efficiency.
Cat on Chair mixes productivity with mechanics normally associated with games and virtual pets.
That remix changes the emotional reason for opening the app:
You are not only completing work.
You are returning to your little world.
8. THE AI BUILD STACK
HOW A DESIGNER SHIPPED SOFTWARE
CHATGPT FOR CODING
AI AS IMPLEMENTATION LEVERAGE
Ryan said he primarily used ChatGPT Pro for the coding side of development.
AI helped bridge the gap between his product-design experience and the technical work required to ship an iOS application.
It expanded what one small team could execute.
A SMALL SOFTWARE STACK
TOOLS AROUND THE PRODUCT
Ryan also mentioned tools for operating the app:
• RevenueCat — paywalls and subscriptions
• ASO optimization software — App Store growth
• Droids — user feedback board
The business was built by a tiny team using specialized tools rather than a large organization.
AI DID NOT CREATE THE DIFFERENTIATION
THE IMPORTANT DISTINCTION
AI helped Ryan build the software.
The memorable parts came from human choices:
• The cat concept
• Stephanie's illustrations
• Character personalities
• Reward mechanics
• Product taste
• Emotional details
AI increased execution capacity. Taste determined what was worth executing.
9. THE REPEATABLE PLAYBOOK
HOW TO FIND YOUR OWN VERSION
STEP 1 — START WITH SOMETHING YOU USE
FIND A FAMILIAR CATEGORY
Ryan recommends starting with an app category you already use or genuinely care about.
You understand the problem better because you experience it yourself.
You also have stronger instincts about what feels annoying, boring, missing or unnecessarily complicated.
STEP 2 — STUDY THE COMPETITION
FIND WHAT USERS STILL WANT
Go deeper than downloading competing apps.
Study:
1. App Store reviews
2. Negative reviews
3. Social media comments
4. Feature requests
5. User communities
Look for repeated frustrations and desires the existing products are ignoring.
STEP 3 — BORROW FROM ANOTHER CATEGORY
CREATE THE REMIX
Ask what another industry does exceptionally well.
Examples:
Productivity × Games
Finance × Social
Fitness × Collectibles
Education × Storytelling
Planning × Virtual pets
Innovation can come from moving an effective mechanic into a category where users do not expect it.
STEP 4 — ADD YOUR UNFAIR SKILL
MAKE IT HARD TO IMITATE
Ask:
“What can I bring that most competitors cannot?”
For Ryan, it was product design.
For someone else it might be:
• Data analysis
• Industry expertise
• Community access
• Storytelling
• Sales knowledge
• Domain-specific workflows
STEP 5 — CREATE A DISTINCTIVE WORLD
DON'T SHIP GENERIC SOFTWARE
Ryan recommends developing a recognizable visual style, either through collaboration with an illustrator or other creative methods.
The goal is not decoration.
The interface, characters, language and interaction should feel like one coherent product identity.
STEP 6 — SHIP AND LET USERS SHAPE IT
REAL USAGE CREATES THE ROADMAP
Cat on Chair was imperfect when it launched.
There were bugs. Features were still evolving. Users asked for new interactions.
The product improved through real-world feedback.
Do not wait until every possible feature exists.
Ship the core experience, then learn.
10. THE BIGGER SHIFT
WHAT AI CHANGES ABOUT SOFTWARE
BUILDING IS BECOMING CHEAPER
DIFFERENTIATION MOVES ELSEWHERE
When AI makes basic software easier to build, simply having working features becomes less special.
More people can create timers, trackers and utilities.
That increases the importance of concept, taste, audience understanding, emotional design, distribution and product identity.
NICHE CAN BE AN ADVANTAGE
CAT LOVERS × PRODUCTIVITY
Cat on Chair did not target everyone who wants to be productive.
It combined two specific interests:
People who want to focus
+
People who love cats and playful design.
A narrow identity can make a product more relevant, memorable and shareable to the right audience.
BUILD SOFTWARE PEOPLE WANT TO EXIST
THE FOUNDER MINDSET
The hosts observed that Ryan seemed motivated by wanting the product itself to exist, not simply by chasing a lucrative market.
That care showed up in the details.
Ironically, those details helped create the uniqueness that eventually made people want to share the app.
THE FORMULA
CAT ON CHAIR IN ONE FRAMEWORK
Familiar utility
+
Specific niche
+
Personal skill advantage
+
Cross-industry mechanics
+
Distinctive visual identity
+
Emotional experience
+
Organic shareability
+
AI-powered execution
=
A small app capable of becoming a serious business.
FINAL LESSON
KEEP BUILDING
Ryan's final advice was simple:
Keep trying. Stay consistent.
It took him years to discover what he enjoyed and what he was good at. Building the app with AI was not smooth or effortless either.
The breakthrough came from continuing until skill, technology, product and personal interest finally connected.
YOU DON’T NEED AN ORIGINAL IDEA
YOUTUBE SUMMARY : STARTER STORY
CHAPTER INDEX
YOU DON’T NEED AN ORIGINAL IDEA
REVERSE ENGINEER WHAT ALREADY WORKS
A founder took a proven AI calorie-tracking concept, localized it for Israel, and grew it from about $1K in its first month to more than $81K in a later month.
The lesson: the opportunity may not be inventing a new category. It may be bringing a proven product to a market where nobody has won yet.
THE CORE PLAYBOOK
PROVEN IDEA → LOCAL ADVANTAGE
The strategy can be reduced to 6 moves:
1. Find a proven winner.
2. Look for an underserved local market.
3. Pick a large enough niche.
4. Build the core product fast.
5. Win distribution locally.
6. Add brand power after traction.
Product originality was not the main advantage. Execution was.
1. FIND A PROVEN WINNER
START WITH EVIDENCE, NOT IMAGINATION
THE IDEA WAS ALREADY WORKING
HE COPIED THE OPPORTUNITY, NOT THE MARKET
Tomer heard a podcast about a successful AI calorie-tracking app that had scaled rapidly in the US.
Instead of saying, “The idea is taken,” he asked a better question:
“Does this product already exist for people in my market, in their language, with their food habits and local culture?”
For Israel, the answer was effectively no.
THE ZERO-TO-ONE SHORTCUT
LOCALIZATION REDUCED IDEA RISK
His original plan was to build something large for the US. But localization looked like a simpler zero-to-one move.
Why?
A. Demand was already proven elsewhere.
B. The product behavior was understood.
C. He could study existing winners.
D. Local competition was weaker.
He did not need to prove the category from scratch.
CHOOSE A HUGE NICHE
SMALL MARKET REQUIRES BIG DEMAND
Localization only works if the local market is large enough for the niche.
Tomer’s rule was simple:
Small country + tiny niche = limited ceiling.
Small country + massive category = real opportunity.
Fitness and nutrition worked because they are broad, recurring needs, and he already understood the space personally.
THE IDEA FILTER
4 QUESTIONS BEFORE YOU BUILD
Use this filter when evaluating a proven app:
1. Is the original app already making real money?
2. Is my local market underserved?
3. Is the category large enough locally?
4. Do I understand the users, language, or culture better than outsiders?
The strongest opportunities combine proven demand with local asymmetry.
2. BUILD THE CORE FAST
SPEED MATTERS MORE THAN PERFECT CODE
NON-DEVELOPER TO WORKING APP
AI COLLAPSED THE BUILD BARRIER
Tomer was not a professional developer. He had only limited coding experience from high school and self-learning.
When Cursor appeared, he treated it as an experiment: could AI prompting help him build real software?
About 2 weeks later, he had a working version with the main product features functioning.
TWO WEEKS VS TWO MONTHS
BUILDING WAS NOT THE BOTTLENECK
The first working version took roughly 2 weeks.
From the first line of code to being live in the App Store took around 2 months.
The surprising delay was not engineering. It was operational friction: Apple developer enrollment, review cycles, and App Store approval.
Lesson: ship into external review processes early.
BUILD ONLY THE MAGIC LOOP
PHOTO → CALORIES → MACROS
The product’s core experience was simple:
1. User takes a photo of a meal.
2. AI analyzes the food.
3. The app returns calories and macros in seconds.
That loop already had market proof. Tomer’s job was not to invent more features. It was to make this proven experience work smoothly for Hebrew-speaking Israeli users.
3. LOCALIZE THE EXPERIENCE
TRANSLATION ALONE IS NOT ENOUGH
LOCALIZATION = CONTEXT
LANGUAGE, FOOD, BEHAVIOR, CULTURE
The app was not a one-to-one clone.
The core mechanic stayed similar, but Tomer adjusted the experience around how Israelis actually eat and talk about food.
Localization meant:
A. Hebrew language.
B. Local food terminology.
C. Relevant eating habits.
D. Local design and communication.
Same concept. Better local fit.
WHERE THE REAL DIFFERENCE WAS
BRAND AND DISTRIBUTION
Tomer was explicit: the biggest differentiation was not the product itself.
It was brand and distribution.
AI tools made software easier to build. That means product replication gets cheaper.
The harder advantage becomes: Who can acquire users more efficiently? Who understands the market better? Who becomes the trusted local brand?
DISTRIBUTION CREATES CASH FLOW
LOWER CAC BECOMES A WEAPON
His growth logic was financial:
If he could acquire a customer for much less than competitors, he would generate more cash flow per customer.
More cash flow could then fund more advertising.
That creates a loop:
Lower acquisition cost → more cash available → more distribution → more users → stronger brand → better growth economics.
4. WIN WITH PAID DISTRIBUTION
USE THE CHANNEL YOUR MARKET REWARDS
EVERY CHANNEL CAN WORK
EFFICIENCY DECIDES THE WINNER
Tomer’s point was not that paid ads are always best.
Influencers, paid ads, and SEO can all work. The question is which channel is most efficient in your specific market.
For Israel, paid advertising worked well because CPMs were significantly lower than in the US, making profitable acquisition possible without huge testing budgets.
REVERSE ENGINEER THE CREATIVES
STUDY GLOBAL WINNERS + LOCAL ATTENTION
He did not invent ad creative from zero.
He studied two sources:
1. The most viral content from similar US apps.
2. The most viral fitness and nutrition content in Israel.
Then he combined those patterns into local ad creatives.
This is localization at the marketing layer: proven formats, rewritten for local attention.
STAGE ONE: REACH $20K/MONTH
PAID ADS BUILT THE PROOF
Using paid campaigns and localized creative, the app grew to around $20K per month within about 4 months.
That milestone mattered for more than revenue.
It created:
A. User traction.
B. Social proof.
C. Evidence the app worked.
D. Negotiating power.
Only after that foundation did Tomer activate the next growth engine.
5. TURN INFLUENCERS INTO PARTNERS
MOVE BEYOND PAY-PER-POST
WHY NORMAL INFLUENCER DEALS BREAK
ONE PAYMENT, ONE POST, WEAK ALIGNMENT
Large influencers can charge heavily for a single story or reel. In a normal sponsorship, the creator gets paid whether the campaign compounds or not.
Tomer wanted a different structure.
Instead of simply buying posts, he partnered with major influencers and gave them a percentage of revenue.
Now both sides benefited from long-term growth.
REVENUE SHARE CHANGES BEHAVIOR
GIVE CREATORS SKIN IN THE GAME
With revenue share, the influencer is no longer just media inventory.
The incentives become aligned:
App grows → founder earns more → influencer earns more.
That can create stronger commitment, repeated mentions, better content, and recognizable faces for the brand.
The influencer starts behaving more like a growth partner than a temporary advertiser.
TRACTION BEFORE PARTNERSHIP
PROOF IMPROVES YOUR DEAL
Tomer waited until the app was already making around $20K per month before approaching major influencers.
That changed the negotiation.
He could show:
1. Real users.
2. Revenue.
3. Positive customer response.
4. Working acquisition.
He was negotiating from evidence, so he did not need to give away an extreme share just to get attention.
MAKE THE PARTNERSHIP OPERATIONAL
REVENUE SHARE STILL NEEDS STRUCTURE
Aligned incentives are not enough. The agreement also needs clear execution rules.
Tomer described using work timelines that define:
A. How many content pieces are required.
B. How many filming or recording days happen each month.
C. What the influencers are responsible for delivering.
Partnership needs both upside and accountability.
STAGE TWO: $20K → $80K
BRAND AMPLIFIED DISTRIBUTION
The influencer partnerships gave the app two well-known faces in its market.
According to Tomer, this was the growth step that moved the business from around $20K per month to more than $80K per month.
Paid ads created traction first.
Influencer partnerships then added trust, reach, brand recognition, and a harder-to-copy distribution advantage.
6. THE OPERATING STACK
A LEAN SET OF TOOLS BEHIND THE APP
THE TECH STACK
TOOLS USED TO RUN THE PRODUCT
Tomer described a lean stack:
1. Claude — coding and AI agents: about $200/month.
2. PostHog — product analytics: about $20/month.
3. RevenueCat — subscription management.
4. Supabase — database and storage: about $35/month.
5. Expo — in-app updates: about $100/month.
The stack stayed focused on shipping and growth.
7. THE LOCALIZED APP PLAYBOOK
A REPEATABLE SYSTEM
THE FULL SYSTEM
FROM PROVEN PRODUCT TO LOCAL WINNER
The full playbook:
1. Find a proven app with real demand.
2. Identify a market where it has weak local penetration.
3. Choose a large category.
4. Rebuild the core experience quickly.
5. Localize language and behavior.
6. Find the cheapest effective channel.
7. Build traction.
8. Add brand partnerships to scale.
WHERE TO LOOK FOR OPPORTUNITIES
COUNTRIES, CITIES, CULTURES, LANGUAGES
The opportunity is broader than copying apps country by country.
Ask where a proven product is still poorly adapted:
A. Another country.
B. Another language.
C. A specific city.
D. A cultural community.
E. A professional niche.
The idea can already exist globally and still feel completely new to a market that has not been served properly.
8. FOUNDER CONSTRAINT
DO NOT BECOME THE BOTTLENECK
YOU WILL NOT KNOW EVERYTHING
CONFIDENCE IS AN OPERATING SKILL
Tomer’s final advice was simple: do not be afraid of what you do not know.
New technical problems, operational setbacks, and unfamiliar decisions will keep appearing.
A founder needs enough confidence to believe, “I can figure this out.”
The business should not stop growing because the founder is afraid to learn the next required skill.
THE BIGGER LESSON
ORIGINALITY IS OPTIONAL. ADVANTAGE IS NOT.
The case shows a different way to think about startup ideas.
You do not always need a new invention.
You need a real advantage:
1. Better local understanding.
2. Faster execution.
3. Cheaper distribution.
4. Stronger brand trust.
5. Better partnerships.
The opportunity is often hidden inside something that already works somewhere else.
5 SAAS MOATS THAT MATTER MORE IN THE AI ERA
YOUTUBE SUMMARY : ROB WALLING
CHAPTER INDEX
GREAT METRICS ARE NO LONGER ENOUGH
THE NEW SAAS VALUATION PROBLEM
A SaaS company can have strong growth, strong retention, and serious buyer interest—and still receive no private equity offer.
The question has changed:
1. Will this revenue still exist next year?
2. What stops someone from rebuilding the product?
WHY SAAS VALUE IS CHANGING
THE NEW BUYER MINDSET
AI IS NOT MAKING SAAS DISAPPEAR
AI IS STILL SOFTWARE
Einar Vollset’s view is simple: AI is powerful, but it is still software.
That means SaaS companies are not automatically obsolete. Software teams may actually be among the best positioned to deploy AI because they already know how to build, ship, maintain, and improve software products.
AI IS MAKING SOFTWARE FASTER TO BUILD
DEVELOPMENT COST IS FALLING
Inside TinySeed’s portfolio, founders report shipping features in weeks that once took months.
AI can dramatically reduce development time and cost.
That creates opportunity for founders—but it also means basic software functionality can be reproduced much faster by competitors.
WHY FOUNDERS SHOULD CARE ABOUT MOATS
EVEN IF YOU NEVER PLAN TO SELL
A company is still an asset.
Founders may eventually sell because of fatigue, life changes, opportunity, or a compelling offer.
Even if you never sell, understanding what makes the business valuable helps reveal whether you are building something durable—or something that can easily disappear.
THE TRADITIONAL SAAS MOATS
WHAT ALREADY MATTERED
The traditional SaaS playbook already valued:
1. Deep integrations
2. Strong brand
3. High switching costs
4. Owned traffic channels such as SEO
These still matter. AI changes how defensibility is judged and raises the value of assets that competitors cannot recreate simply by writing better code.
A FEATURE IS NOT A MOAT
UNIQUE FUNCTIONALITY IS EASY TO COPY
Developers often treat a clever feature as defensibility.
But features were never a strong moat—and AI makes them even weaker.
If competitors can reproduce the feature quickly, the real value must exist around it: data, workflow, trust, networks, hardware, integrations, or switching costs.
THE FIVE MOATS BUYERS NOW CARE ABOUT
DURABILITY OVER NOVELTY
MOAT 1 — HARDWARE
SOFTWARE TIED TO THE PHYSICAL WORLD
Hardware once looked like a SaaS disadvantage because it was slower and harder to scale.
Now tightly integrated hardware can increase defensibility.
Replacing the software may also require replacing devices, installations, maintenance processes, employee routines, and physical infrastructure.
WHY HARDWARE BECOMES HARD TO REPLACE
PHYSICAL CONSEQUENCES CREATE FRICTION
Examples from the TinySeed portfolio include:
1. Digital scales in grocery stores
2. Software inside EV chargers
3. Printers deployed in warehouses
A competitor cannot simply recreate the code and instantly replace a system already embedded inside real-world operations.
THE HARDWARE MOAT TEST
NOT EVERY DEVICE CREATES DEFENSIBILITY
Hardware becomes a moat when it is tightly connected to the value the product delivers.
An ordinary off-the-shelf device with an open API may still be easy to replace.
The stronger moat appears when software, device, installation, workflow, and operational dependency work as one system.
MOAT 2 — TWO-SIDED MARKETPLACE
SUPPLY ATTRACTS DEMAND
A marketplace becomes stronger as both sides grow.
More supply attracts more demand.
More demand attracts more supply.
When that loop works, the network itself becomes difficult to recreate because a new competitor must rebuild both sides of the market—not just copy the software.
MARKETPLACE MOATS ARE HARD TO BUILD
DISTRIBUTION COMES FIRST
The challenge is getting the marketplace started.
Bootstrapping one from zero is extremely difficult unless you already have access to one or both sides.
The software may be easy to build. Creating enough buyers and sellers at the same time is the difficult part.
MARKETPLACE EXAMPLE — TINYSEED
START WITH AN EXISTING NETWORK
TinySeed works like a marketplace connecting founders and investors.
It had an advantage at launch because there was already access to founders—and eventually investors as well.
The lesson: marketplaces work better when distribution exists before the marketplace itself is launched.
MARKETPLACE EXAMPLE — DYNAMITE JOBS
AUDIENCE BECOMES DISTRIBUTION
Dynamite Jobs was built by people who already had access to a remote-work audience through Tropical MBA.
That existing community reduced the marketplace cold-start problem.
The moat was not simply the job-board software. It was access to the people needed to make the marketplace useful.
MOAT 3 — SYSTEM OF RECORD
WHERE THE BUSINESS ACTUALLY OPERATES
The hardest software to remove is often where the business actually runs.
Messages, approvals, states, decisions, coordination, history, and shared context accumulate inside the product.
Eventually the software becomes more than a tool. It becomes part of the company’s operating infrastructure.
WHY COLLABORATION CREATES STICKINESS
EVERY USER ADDS CONTEXT
Ten identical user accounts create limited organizational dependency.
But ten people coordinating work, sending approvals, exchanging messages, updating statuses, and making decisions inside one platform create something much harder to move.
The accumulated coordination becomes part of the moat.
SLACK IS THE SIMPLE EXAMPLE
EASY TO COMPLAIN ABOUT, HARD TO LEAVE
Teams may complain about Slack and even experiment with alternatives.
But years of messages, channels, habits, integrations, relationships, and team coordination make switching difficult.
Slack is no longer only chat software. It becomes part of the organization’s operating memory.
HOW A SYSTEM OF RECORD FORMS
WORKFLOW CREATES DEPENDENCY
A system of record grows when important work starts happening inside the product:
1. Communication
2. Approvals
3. Status changes
4. Historical records
5. Team coordination
6. Business context
The more operational history accumulates, the more difficult migration becomes.
MOAT 4 — EXCLUSIVE, FRESH DATA
DATA THAT KEEPS GETTING BETTER
A strong data moat captures information competitors cannot easily reproduce.
The strongest version is continuously refreshed.
A one-time copy becomes stale while the original product keeps receiving new information, building history, expanding coverage, and improving the value of its dataset.
THE DATA MOAT TEST
CAN COMPETITORS TAKE EVERYTHING OUT?
The moat weakens if someone can export the complete dataset, timestamps, history, and structure through an API.
The stronger model is:
Data flows in.
Value is created from it.
The continuously refreshed dataset cannot simply be cloned and moved into a competing application.
FRESHNESS IS PART OF THE MOAT
YESTERDAY’S SNAPSHOT LOSES VALUE
Imagine a database that continuously tracks companies, technologies, markets, or transactions.
Copying the database once does not recreate the business.
You still need next month’s information, then the month after that. The ongoing collection engine becomes more valuable than a single snapshot.
EXAMPLES OF DATA MOATS
CONTINUOUS COLLECTION MATTERS
The transcript points to products such as BuiltWith, fiscal.ai, and DealForma.
Their value depends on information that keeps changing.
A customer does not only need today’s dataset. They need the system continuously collecting, organizing, refreshing, and maintaining that information.
MOAT 5 — HIGH SWITCHING COSTS
THE STRONGEST PRACTICAL DEFENSE
Here is the test:
A competitor offers everything you provide for half the price. Does the customer still stay?
If switching creates migration cost, retraining, downtime, operational risk, lost history, or business disruption, customers may prefer to continue paying the incumbent.
MISSION-CRITICAL SYSTEMS CREATE SWITCHING COST
RISK MATTERS MORE THAN PRICE
Think about finance software, ERP, or warehouse systems.
A cheaper alternative may exist, but replacing the system can affect approvals, inventory, shipping, reporting, payroll, or financial operations.
For a serious business, the downside risk can be far larger than the subscription savings.
SWITCHING COST IS MORE THAN MIGRATION
THE WHOLE ORGANIZATION MUST MOVE
Real switching costs can include:
1. Moving data
2. Rebuilding integrations
3. Retraining employees
4. Recreating workflows
5. Changing internal processes
6. Accepting downtime risk
The harder these pieces are to move safely, the stronger the incumbent becomes.
BRAND AND TRUST REINFORCE THE MOAT
BUSINESSES PAY FOR RELIABILITY
Customers are not only buying features.
They are buying confidence that the vendor will remain available, fix failures, answer support requests, and prioritize serious problems.
For mission-critical software, trust in the company behind the product can matter as much as the technology itself.
WHY VIBE-CODED REPLACEMENTS HAVE LIMITS
CHEAP SOFTWARE CAN CREATE EXPENSIVE RISK
A technical individual may tolerate spending hours fixing a self-built tool.
A company with employees, customers, payroll, and millions in revenue has a different risk profile.
Saving a small amount on software may not justify the possibility of failure inside a critical business process.
AI-NATIVE SAAS FACES A HIGHER BAR
FAST GROWTH DOES NOT PROVE DURABILITY
FAST ARR CAN STILL COLLAPSE
BUYERS FEAR RAPID REPLACEMENT
AI products can grow from zero to millions in ARR extremely quickly.
But buyers have also seen fast-growing AI companies collapse just as quickly.
That makes durability more important: what keeps customers paying when models improve, competitors appear, or the underlying technology becomes commoditized?
THE PRIVATE EQUITY QUESTION
CAN THIS REVENUE SURVIVE?
Private equity buyers are not only asking whether the company is growing today.
They need confidence in future cash flow.
Their concern is simple: if building software becomes dramatically easier, what prevents another company from recreating the product and taking those customers?
THE INVESTMENT COMMITTEE FILTER
SOME COMPANIES NEVER REACH THE TABLE
According to the interview, some buyers may refuse to bring businesses without meaningful moats to their investment committee.
That matters because the committee is the group that approves whether the firm can issue an LOI and continue pursuing the acquisition.
THE ZYRATALK CASE
GREAT METRICS, UNEXPECTED OUTCOME
ZYRATALK LOOKED HIGHLY ATTRACTIVE
AI VOICE AGENTS FOR SERVICE BUSINESSES
ZyraTalk was an AI voice-agent business serving industries such as HVAC.
According to Einar, it had strong growth, strong retention, integrations, and significant market interest.
By traditional SaaS metrics, it looked like the kind of company that should attract many acquisition offers.
22+ BUYER MEETINGS
INTEREST WAS NOT THE PROBLEM
During the sale process, ZyraTalk reportedly held roughly 22–23 management meetings with interested buyers.
That is a high level of engagement.
Based on the company’s metrics and the number of meetings, Einar expected an avalanche of letters of intent from potential acquirers.
ZERO PRIVATE EQUITY LOIS
THE MARKET HAD CHANGED
Not a single private equity firm submitted an LOI.
The company itself was not weak. Growth and retention were strong.
The issue was durability. Buyers were evaluating whether the revenue would survive and whether another AI company could rebuild enough of the product to threaten the business.
ZYRATALK STILL SOLD
STRATEGIC VALUE WON
ZyraTalk ultimately sold to EverCommerce, described in the transcript as a large public strategic buyer.
The acquisition became a competition between strategic buyers rather than private equity.
The case shows how the same SaaS business can look very different depending on the buyer’s strategic logic.
THE QUESTION BEHIND ALL FIVE MOATS
WHAT BUYERS REALLY WANT TO KNOW
Every moat answers the same two questions:
1. A year from now, will this revenue still be here?
2. What prevents another company from rebuilding the product and taking the customer?
Growth proves demand today.
A moat gives buyers confidence about tomorrow.
THE SAAS MOAT CHECKLIST
AUDIT YOUR DEFENSIBILITY
1. HARDWARE
ARE YOU EMBEDDED PHYSICALLY?
Ask:
Does replacing our software also require replacing hardware, installation, devices, or physical operating processes?
The more deeply your product connects software to the real world, the harder it becomes for competitors to replace you simply by recreating your application.
2. MARKETPLACE
DOES THE NETWORK COMPOUND?
Ask:
Does every new participant make the product more valuable to other participants?
A true marketplace moat becomes stronger as supply and demand reinforce each other. Competitors then need to reproduce the network itself rather than merely reproduce the software interface.
3. SYSTEM OF RECORD
DOES IMPORTANT WORK LIVE HERE?
Ask:
Are customers storing messages, approvals, decisions, workflows, history, and organizational context inside the product?
The more business activity that lives inside your system, the more disruptive migration becomes—and the less likely customers are to leave casually.
4. EXCLUSIVE DATA
DOES YOUR DATASET IMPROVE CONTINUOUSLY?
Ask:
Are we collecting unique information that becomes more valuable over time?
Could a competitor export everything and reproduce it tomorrow?
The strongest data moat comes from information that is difficult to obtain, continuously refreshed, historically useful, and deeply integrated into the product.
5. SWITCHING COSTS
WOULD HALF-PRICE ACTUALLY MAKE THEM LEAVE?
Ask:
If a competitor offered the same features at half our price, would customers move?
If migration threatens operations, data, integrations, workflows, training, reliability, or revenue, the customer may stay because switching risk matters more than the money they could save.
BUILD BEYOND FEATURES
THE FOUNDER TAKEAWAY
AI makes software faster and cheaper to build.
So defensibility increasingly has to exist beyond the code itself.
Build products that become embedded in operations, relationships, proprietary data, customer trust, physical systems, and recurring workflows.
The goal is to become difficult to replace.