Avsnitt
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Daniel and Leo Pareja, CEO of eXp Realty, unpack what happens when someone finally reaches the goal they have obsessed over for years—and discovers it does not feel the way they expected. Leo shares how becoming the number one Keller Williams agent at twenty-eight left him depressed and confused because nothing inside him changed. From there, the conversation moves through his financial collapse during the 2008 crisis, the mentors who reshaped his identity, and the systems that helped him rebuild. Leo also explains why young people should compress time through hard work, why founders must separate themselves from their titles, and how AI may fundamentally reshape enterprise software and entrepreneurship.
Key Discussion Points
Leo shares that becoming the number one agent at Keller Williams was one of the emptiest and most meaningless moments of his life, despite spending nearly eight years obsessing over that goal.
He explains how conversations with millionaires and billionaires taught him one consistent lesson: do not sacrifice the years when your children are young because those moments cannot be recovered.
Leo opens up about the financial crisis, when he went from being told he was worth around $5 million to negative $1 million in roughly eight months.
That collapse changed his approach to life, pushing him to stop saying “when I get there” and start giving back, spending time with family, and living according to his priorities immediately.
Leo explains why his children's calendar now goes into his schedule before eXp's global calendar and why he expects his executives to make family milestones a priority as well.
He argues that young people should work extremely hard and “compress time,” using energy and repetition to gain experience before wisdom and leverage come later in life.
Leo shares the advice a mentor gave him at thirty: he was no longer a young prodigy, just another successful person in real estate, and he needed to build an identity beyond that achievement.
He explains why selling a company can be emotionally traumatic, because founders are often forced to hand over not only the business but a major part of their identity and professional status.
Leo describes how the financial crash forced him to stop relying on natural talent and start treating business as a math problem built around total addressable market, customer acquisition cost, lifetime value, retention, churn, and defensibility.
The conversation explores Leo's belief that AI is simultaneously overhyped in the short term and underhyped in the long term—and that custom AI workflows could lead to the death of much of enterprise SaaS.
Takeaways
Reaching the top does not guarantee fulfillment. If your entire identity is tied to one goal, achieving it can leave you more confused than motivated.
There are seasons for extreme work and seasons for family, but Leo believes leaders must be honest about which season they are in and intentionally protect what cannot be recovered.
Young founders should prioritize proximity and osmosis: get around people who are already doing what you want to do, watch how they think, and put in as many real-world reps as possible.
AI may radically lower the cost of building custom technology, allowing companies to replace bloated enterprise tools with workflows designed around their exact needs.
Courage is misunderstood. Leo says fear never disappears; courage is simply doing the thing in spite of being afraid.
Closing Thoughts
Leo Pareja's story challenges the traditional definition of success. He reached number one, lost millions, rebuilt, sold companies, and became CEO of a major public-company brokerage—but the biggest lessons came from realizing that titles are temporary and the people around you are not. This episode is about ambition without losing yourself, taking calculated risks before life ends, and learning to get back up no matter how many losses you take.
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Daniel and Moe Seye explore how work is being rewritten by AI, layoffs, remote work, and a new generation that does not want the same corporate path their parents wanted. Moe explains why Silicon Valley still feels like a place living in the future, and why being around impossible-thinking founders can reshape what someone believes they can build. The conversation moves into Moe’s own journey from Coca-Cola employee to founder, why leaving a secure job felt like a leap of faith, and how his companies uncovered a major gap: millions of independent workers have flexibility, but lack the infrastructure that large employers used to provide.
Key Discussion Points
Moe explains why Silicon Valley remains valuable for founders, not just for fundraising, but because the culture makes impossible ideas feel achievable.
He shares that while tech companies can now be built outside Silicon Valley, founders in AI and frontier technology may still benefit from spending time in that ecosystem.
Moe discusses the AI agent boom and predicts consolidation, comparing it to past technology bubbles where many companies disappear but the strongest ideas survive.
He explains why AI may create more one-person or very small companies, where individuals can build faster without needing massive teams.
Moe breaks down the rise of the 1099 economy, noting that independent workers are not just influencers or content creators, but also nurses, attorneys, realtors, financial advisors, plumbers, contractors, consultants, and more.
He reflects on his years at Coca-Cola, saying it once felt like the dream job because it offered status, stability, and the kind of company name that made family proud.
Moe shares how the founder itch eventually became stronger than the comfort of corporate life, and why leaving Coca-Cola felt shocking to people around him.
He connects immigration to entrepreneurship, saying moving to a new country can be a person’s first business venture because it forces adaptation, courage, and self-reliance.
Moe explains the core problem his company is solving: once someone leaves W-2 employment, they lose the infrastructure around healthcare, retirement, taxes, business structure, benefits, and support.
He shares how customer feedback from existing clients revealed a major need: companies could support W-2 employees, but had no real solution for their growing contractor and 1099 populations.
Takeaways
The future of work is shifting from large corporate employment toward smaller, independent, AI-enabled companies of one.
Flexibility is powerful, but independent workers still need serious infrastructure around healthcare, taxes, retirement, and business operations.
AI will not just replace jobs; it may push more people to bet on themselves and build outside traditional employment.
Customer feedback can reveal the next business before the founder fully sees it, especially when the same pain point keeps appearing.
Travel expands what people believe is possible because seeing the world helps founders understand markets, people, culture, and ambition beyond their own bubble.
Closing Thoughts
Moe Seye’s story captures one of the biggest shifts happening in work: people want freedom, but freedom without infrastructure can become overwhelming. His mission is to support the independent worker the way corporations once supported employees, while giving people the tools to build, earn, and live on their own terms. This episode is a reminder that the next great company may not have thousands of employees—it may be one person, powered by AI, courage, and the right support system.
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Saknas det avsnitt?
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Daniel and Daniel Schlaepfer dive into the evolution of trading from human-driven Wall Street desks to today’s app-based, AI-assisted, off-exchange market structure. Daniel explains how he accidentally entered the trading world through a free subway newspaper ad after law school didn’t go as planned, then later rebuilt a new firm after the original company collapsed under regulatory failures. The conversation explores why “free trading” is not really free, how retail orders are routed away from public exchanges, why funded trader programs can be dangerous, and why risk systems—not hype—are the reason his firm has had only 12 losing days in over 14 years.
Key Discussion Points
Daniel shares how he planned to go to law school, did not get into the schools he wanted, and ended up answering a stock trader ad in a free subway newspaper.
He explains how the original trading firm he worked for became one of the largest trading firms but eventually collapsed because it grew fast without enforcing rules, supervision, or regulatory discipline.
Daniel describes how regulators essentially gave him the playbook for what not to do, allowing him to take the best parts of the old business and build Select Vantage with compliance at the center.
He breaks down why AI and algorithms can assist trading, but someone human still has to sit on top of the system and take accountability when models make mistakes.
Daniel calls funded trader programs a scam-like model because they profit when traders lose, often using auditions, fees, CFDs, and payout hoops that most participants do not fully understand.
He explains the hidden cost of “free trading,” where brokers route orders to market makers instead of public exchanges, turning the consumer into the product.
Daniel uses the auction analogy: if you were selling a painting, you would want thousands of bidders, not one buyer controlling the price.
The episode explores how retail trading apps gamify the market, encourage speculation, and make it easier for users to trade options, prediction markets, and fractional shares without real education.
Daniel explains why access to private shares, hedge funds, and pre-IPO opportunities is often reserved for wealthy investors because sophistication is legally tied to net worth.
He shares how Select Vantage has had only 12 losing days in 14-plus years by using strict risk controls, limiting downside, cutting off losing trades, and even stopping traders from giving back too much profit from their high point in the day.
Takeaways
“Free” trading is not truly free; if a platform is being paid to route your order, your activity is part of the business model.
AI may improve trading tools, but human judgment still matters when there is no historical data, when news changes a company, or when accountability is required.
Retail traders need to understand that speculation is not the same as investing, and gamified apps are often designed to increase turnover, not long-term wealth.
The best traders survive through discipline and risk control, not just being right more often. Daniel’s system leaves upside open while cutting downside fast.
Wealthy investors often get access to opportunities regular investors never see, not because the opportunities are secret, but because the rules limit access based on net worth.
Closing Thoughts
Daniel Schlaepfer’s story is a rare look inside the machinery of modern markets from someone who built a global trading firm by doing the opposite of the reckless operators he learned from. This episode challenges the idea that trading has become easier simply because access has improved. The tools may be faster and cheaper, but Daniel’s message is clear: without education, discipline, and risk control, the market can turn access into speculation—and speculation into loss.
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Daniel and Jack start inside the mind of a Formula 1 driver, unpacking how perception changes at extreme speed, why Monaco feels faster than wider tracks, and how drivers train their bodies to survive brutal heat and stress. The conversation then shifts into Jack’s entrepreneurial chapter, sparked by the uncertainty of being sidelined from Formula 1 after only six races. Rather than sit still and wait for racing politics to resolve, Jack leaned into business, relationships, and AI, building Meuze with two trusted childhood friends to solve one of the biggest problems in food commerce: fragmented systems, disconnected data, and the inability for large restaurant groups to properly use automation.
Key Discussion Points
Jack explains that speed is perception-based: on wide circuits, 360 kilometers per hour can feel manageable, while Monaco can feel like “the speed of light” because the walls and objects are so close.
He breaks down the mental pressure of racing, saying confidence comes from preparation: training, sleep, nutrition, engineering work, mechanics, and doing everything possible before race day.
Jack shares the physical demands of Formula 1, including losing two and a half to four kilograms of fluid during a race and training in heat with layers to replicate extreme conditions.
He explains how F1 prepared him for business because drivers are also employees, brands, negotiators, and operators surrounded by contracts, sponsors, partners, middlemen, and high-stakes relationships.
Jack reveals that coding started as a mental training tool, something strategic he could do in his downtime to sharpen problem solving rather than simply switch off.
He opens up about dedicating nearly his entire life to Formula 1, then being sidelined six races into his career due to political circumstances outside his control.
That moment pushed him toward entrepreneurship, because he did not want to keep all his future tied to something he could not fully control.
Jack explains how his F1 network created an unfair advantage in enterprise sales, giving him access to conversations that would normally take months or years to reach.
He shares the mission behind Meuze: aggregating fragmented restaurant and franchise data into one self-learning brain so large food and beverage groups can finally use AI and automation effectively.
Jack talks about building with his two co-founders, childhood friends with different strengths, deep trust, and clearly defined roles that allow them to move fast without stepping on each other.
Takeaways
Preparation is the antidote to pressure, whether you are entering a Formula 1 race or pitching a multimillion-dollar enterprise customer.
Athletes and founders both face the same truth: talent matters, but your future can change instantly if too much is outside your control.
Relationships can open the door, but credibility and execution still have to close the deal.
AI cannot solve fragmented industries until the data is unified, cleaned, and connected across the systems companies already use.
Jack’s mindset is built around pressure, not comfort, and that makes him uniquely suited for startups where the stakes are high and the timeline is unforgiving.
Closing Thoughts
Jack Doohan’s story is about what happens when a lifelong dream collides with forces outside your control. Instead of waiting for Formula 1 to decide his future, he used the pressure, discipline, and access from racing to build something of his own. This episode captures a rare founder-athlete crossover: someone still chasing the grid, but also building Meuze, a company designed to solve a massive operational problem in one of the world’s most fragmented industries.
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Daniel and Steve Salis dive into what it really takes to build restaurants at scale, from creating a brand people love to delivering hospitality every single day. Steve explains how restaurants become cultural beacons inside communities, why &pizza was built to recreate the feeling of a local mom-and-pop pizza shop, and how he turned a simple observation inside a Qdoba into a scalable fast-casual pizza concept. The conversation also goes deeper into risk, COVID, personal sacrifice, underdog mentality, and why Steve believes the ability to execute is what separates real builders from people with ideas.
Key Discussion Points
Steve explains that restaurants are difficult because they require a great brand, great product, great experience, and an extraordinary hospitality model working together consistently.
He describes restaurants as cultural gathering places, saying the best ones connect people, communities, and memories far beyond the food itself.
Steve shares the origin of &pizza: he wanted to recreate the mom-and-pop pizza shop experience for the modern consumer, using pizza as a conduit for community and belonging.
He recalls moving to New York City at 21 as a college dropout, living in a one-bedroom apartment with four other guys, and entering food and beverage just to support himself.
Steve explains how opening a tequila taqueria bar during the financial crisis shaped one of his core principles: premium and approachable can coexist.
He breaks down his approach to risk through three categories: known knowns, known unknowns, and unknown unknowns, arguing that founders need to quantify risk instead of letting fear stop them.
Steve says ideas are common, but execution is rare, and what makes him dangerous is his ability to take an idea and actually operate it into reality.
He shares how COVID became one of his hardest entrepreneurial moments, with lenders calling about $47 million while revenue collapsed to zero and he was financing payroll.
Steve explains why endurance is the most important attribute in business, because when you are going through hell, the only option is to keep moving one day at a time.
He reflects on being an underdog from New Hampshire, growing up lower middle income, watching his father lose his business in 2008, and having to fight for everything he built.
Takeaways
Restaurants are not just food businesses; they are emotional, cultural, and community-driven experiences that must earn attention every day.
Risk is not something to avoid blindly. Steve’s framework is to quantify what can be known, prepare for what might happen, and accept that some unknowns are just life.
The difference between dreamers and operators is execution. Plenty of people have ideas, but few people can turn those ideas into scalable companies.
Premium does not have to mean inaccessible. Steve’s hospitality philosophy is built around delivering extraordinary experiences through premium and approachability.
Endurance beats hype, timing, and even talent when the business gets hard, because founders have to survive long enough for the wins to compound.
Closing Thoughts
Steve Salis’ story is the founder playbook for turning pressure into vision and vision into execution. He built through financial crisis, scaled through category disruption, survived COVID, and kept pushing into what he calls his second act. This episode is a reminder that the restaurant business is brutal, but for the right founder, it can become a platform for culture, community, and legacy-defining brands.
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Daniel and Mauricio Umansky trace his journey from growing up in Mexico City, delivering pizzas at 16, and becoming one of the most successful luxury real estate figures in the world. Mauricio reflects on selling the Playboy Mansion, the fascination with luxury real estate, and why success eventually becomes less about money and more about making chess moves that shift an industry. The conversation then turns deeper as Mauricio shares the sacrifices of fame, the loss of privacy, his complicated feelings about reality TV, and how he is now pushing for change in real estate through new organizations, global expansion, AI adoption, and a more collaborative industry model.
Key Discussion Points
Mauricio shares how his background as a Mexican Jew with Eastern European immigrant roots shaped his early life, identity, and ambition.
He reflects on delivering pizzas at 16 and how far that journey has taken him, including selling the Playboy Mansion in the first $100 million residential sale in Los Angeles.
Mauricio explains why people are so fascinated by luxury real estate: it gives viewers access to beauty, aspiration, celebrity lifestyles, and the possibility of a bigger life.
He describes success as a chess game, saying that at a certain point it is no longer about “enough money,” but about impact, moves, influence, and not being bored.
Mauricio breaks down why he launched the American Real Estate Association and why he believes the National Association of Realtors protects itself more than real estate agents.
He explains the current real estate downturn through transaction volume, noting that the country has dropped from around seven million annual transactions to roughly 3.6 or 3.7 million.
The episode explores how AI could make agents more efficient, allowing top performers to handle more deals, while also potentially eliminating roles for people who do not adapt.
Mauricio opens up about the price of reality television, including losing privacy, finding a paparazzi tracker in his car, and always being watched in public.
He shares one of the hardest parts of fame: his children were put on reality TV because of decisions he and Kyle made, without getting to choose that life for themselves.
Mauricio talks about the future of The Agency, including expansion across Europe, Saudi Arabia, Dubai, Qatar, and eventually London once he finds the right partner.
He closes with a more personal reflection on journaling, learning to understand his emotions, and discovering the power of being truly alone without a phone, book, or distraction.
Takeaways
Success has a price, and for Mauricio, that price has included privacy, friendships, public judgment, and the emotional weight of exposing his family to fame.
At the highest level, business becomes a chess game: the goal is not just money, but influence, impact, and changing the rules of the industry.
Real estate is entering a chaotic reset, and Mauricio believes agents must become more efficient, more collaborative, and more willing to adapt to AI.
Luxury is changing too; Mauricio sees time, wellness, longevity, mobility, and health as the new status symbols.
True solitude is not just being physically alone. It is removing the phone, the noise, and the distractions long enough to understand yourself and create again.
Closing Thoughts
Mauricio Umansky’s story is not just about luxury homes, billion-dollar sales volume, or reality TV fame. It is about what happens when success gives you a platform, but also takes pieces of your privacy, your friendships, and your family’s anonymity. This episode captures a founder at a turning point: still building, still expanding, still controversial, and still trying to reshape an industry that he believes is ready for a new era.
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Daniel and Adam Hagaman dive into the painful early chapters of Adam’s life, including growing up without a father, trying drugs in sixth grade, selling drugs, dropping out of school, and going to jail every year from 18 to 25. Adam explains how a party invitation led him to meet his future wife, the daughter of a pastor, and how that relationship introduced him to faith after years of darkness. The conversation moves from redemption to entrepreneurship, covering door-to-door sales, building businesses, making millions, losing nearly $1 million, and the shift from being a Christian with a business to becoming a Kingdom entrepreneur.
Key Discussion Points
Adam shares how growing up without his father shaped his identity and pushed him toward the wrong friends, drugs, alcohol, gangs, and selling drugs at a young age. He explains that from 18 to 25, he went to jail every year, but at the time he didn’t see it as a wake-up call; he only thought he had to “do better next time.” Adam tells the story of meeting his future wife at a party, even though he originally thought inviting her was a bad idea, and how her family and faith opened the door to a new life. The turning point came when his wife left with the kids after he chose drinking and friends again, forcing him to realize he was becoming the absent father he promised he would never be. Adam breaks down how door-to-door sales changed his life after 2008, especially after dropping out of high school and struggling to find work without a diploma. He shares his biggest sales lesson: don’t make it about your commission, make it about the person, because when he lowered the price and focused on the customer, his results exploded. Adam explains why success can become a trap if you never define enough, describing how chasing more can pull you away from your family even when you are physically present. He opens up about falling nearly $800,000 to $1 million in debt in 2024, and how that season taught him more through loss than he had learned through years of winning. Adam defines the difference between a Christian with a business and a Kingdom entrepreneur: one includes God in the business, while the other gives the business fully to God and lets Him lead. He shares how he started posting content on December 20, 2023, instead of waiting for January, and grew from zero to over one million followers across YouTube, Instagram, TikTok, and Facebook.
Takeaways
Your past does not have to dictate your future, but transformation starts when you stop making excuses and confront who you are becoming. Sales is not about pushing people into what benefits you; it is about understanding the person, solving a real problem, and making the deal good for them. Success without a defined “enough” can become a hamster wheel that costs you the relationships you were supposedly working to protect. Content does not require perfection to start; Adam began with a phone, no microphone, and a willingness to post before he felt ready. Short-form video can become the billboard that leads people into your deeper message, but you have to start before you are confident.
Closing Thoughts
Adam Hagaman’s story is about redemption, but it is also about responsibility. He went from living for survival and status to building with faith, family, and mission at the center. This episode is a reminder that attention is powerful, but purpose is what gives it direction—and no matter how far someone has fallen, they are not too late, too old, or too broken to start again.
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Daniel and Kat explore the origin story behind Ritual, starting with Kat being four months pregnant and unable to find a prenatal vitamin she trusted. Kat explains how women’s health has been underfunded, understudied, and underestimated, and how that gap became the foundation for a brand built on transparency, science, and trust. The conversation covers venture funding, building while raising three children, the power of starting narrow, the problem with copycat supplements, and why Ritual has invested millions into human clinical studies instead of relying on marketing claims.
Key Discussion Points
Kat shares that Ritual began when she was pregnant and saw a major gap in women’s health, especially around prenatal nutrition, postpartum, perimenopause, and menopause.
She recalls an investor telling her she could either start a family or start a business, but not both, and explains how that moment became fuel to build Ritual into a nine-figure company.
Kat explains why she rejects the idea that women’s health categories are “niche,” arguing that these experiences make up the collective women’s health journey.
She breaks down Ritual’s strategy of starting with one product, one price point, and one clear promise, instead of launching everything at once and standing for nothing.
Kat shares how customer demand led to major product expansion, including a gut health product that did $30 million in first-year sales.
She also explains when Ritual does not simply follow customer requests, using choline as an example of a science-led product customers did not yet know they needed.
The conversation goes deep into women’s health research, including postnatal nutrition, breast milk quality, methylated folate, and the problem of studies being run on men or animals while marketed to women.
Kat explains why Ritual raised venture capital from the beginning: to build from the ground up, invest in scientists, clinical validation, sourcing, delivery technology, and patented formulations.
She opens up about sacrifice, saying she tries to throw guilt out the window and focus on three priorities: health, business, and family.
Kat reflects on success, saying she often struggles to feel like she has “arrived” because every milestone leads to the next one.
Takeaways
Women’s health is not niche, it has simply been underfunded, understudied, and underestimated for too long.
Starting narrow can build more trust than launching wide, because focus helps a brand stand for something clearly.
In supplements, marketing is not enough; clinical studies, sourcing, safety, and delivery technology are what separate real innovation from private-label copycats.
Motherhood and entrepreneurship are not separate lanes for Kat, they are intertwined, and being the customer helped her build for the customer.
For founders, guilt can become a trap, so Kat’s framework is choosing the few things that matter most in a given season and accepting the tradeoffs.
Closing Thoughts
Kat Schneider’s story is about more than building Ritual. It is about proving that overlooked markets are often massive opportunities hiding in plain sight. This episode shows how trust becomes a moat when a founder is willing to build slower, go deeper into science, and solve a problem she understands personally. For anyone building in health, CPG, or women’s wellness, Kat’s message is clear: don’t copy what already exists, build what people actually need.
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Daniel and Cylton Collymore dive into one of the biggest questions facing founders right now: what happens when AI becomes essential, but the cost and control of that AI sits in someone else’s cloud. Cylton explains why he believes LLMs are still “book smart, not street smart,” why giving AI agents full access to your computer is like handing your bank account to someone on a second date, and why the future may shift toward local or on-prem AI systems. The conversation also turns personal as Cylton shares how being laid off from Meta after his 50th birthday forced him into Plan A, why Sirsi is his contribution, and why access—not talent—is the real bottleneck holding back the next generation of builders.
Key Discussion Points
Cylton pushes back on the AGI hype, arguing that LLMs present well but are still limited, comparing them to someone who can pass every quiz but struggles with real-world “street smart” reasoning.
He warns founders about giving AI agents full access to their computers, phones, finances, and private data, comparing it to giving a new relationship access to your bank account on the second date.
Cylton explains that agentic systems should support human intelligence, not replace it, especially in roles like cybersecurity where human judgment is needed as the “tiebreaker.”
He shares the deeper vision behind Sirsi: giving people and companies AI efficiency without requiring them to become AI experts or build an AI company from scratch.
The conversation explores why talent is everywhere, from government to Meta to Howard University, and why the future depends on expanding access, encouragement, tools, and visibility for more builders.
Cylton opens up about being laid off from Meta in 2023 and realizing that Plan B was not enough, saying that if you have a Plan B, you do not really have a plan.
He gives founders a blunt lesson on equity: do not give away shares casually, because equity is not candy, it is a claim on your time, effort, and future money.
Cylton explains why he is betting against the purely cloud-centric AI model, arguing that inference costs, token economics, outages, and lack of control will push more AI back to local devices and on-prem systems.
He compares token economics to Chuck E. Cheese at trillion-dollar scale, warning that today’s AI usage is subsidized by investor capital and that prices are already shifting upward.
The episode closes with Cylton pointing toward a hybrid AI future where frontier cloud models still exist, but daily business AI increasingly runs closer to the user through local hardware and private systems.
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Takeaways
AI agents are powerful, but founders should not confuse convenience with safety, especially when private data, financial systems, and company operations are involved.
The next AI advantage may not be who has the best prompt, but who controls their infrastructure, costs, data, and inference layer.
Equity is one of the most expensive things a founder can give away, because it represents a claim on years of work, not just a future payout.
Access is the real unlock: more people building with better tools could create a much larger economy and surface talent that traditional systems overlook.
The current AI land grab is being subsidized, and founders should prepare for a world where token costs, cloud dependence, and AI usage become real operating expenses.
Closing Thoughts
Cylton Collymore brings a rare mix of government, cybersecurity, big tech, and founder perspective to the AI conversation. This episode is not anti-AI, it is a warning against using AI blindly before understanding the cost, control, and security tradeoffs. His message to founders is clear: use AI, but do not outsource your company’s future to systems you do not control.
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One in 8 Americans is now on a GLP-1 medication. That is roughly 35 million people, and it created one of the fastest-growing markets in the country almost overnight. The CEO at the center of this episode captured that wave from a company most people have never heard of, and he did it after walking into the industry with zero experience. Thirteen years later, he runs the whole thing. Kris Fishman is the CEO and President of Wells Pharmacy Network, one of the largest independent compounding pharmacies in the United States. Wells operates in the personalized medicine space, including GLP-1s, peptides, and other compounded products. Kris got there without an MBA, without industry credentials, and without knowing what a compounding pharmacy was on day one. His wife had to explain it to him.
In this episode of Founder's Story, Daniel Robbins sits down with Kris to break down how an outsider becomes the CEO. While everyone around him debated products and formulations, Kris obsessed over the one problem nobody wanted to own: orders were not getting out the door fast enough. He shares how fixing that single operational bottleneck transformed the company, how he used technology and telemedicine partnerships to scale distribution nationally, why he believes not knowing the industry was his biggest advantage, and what it cost him at home, including the seasons of his kids' childhoods he never got back while telling his wife "one more year" for thirty years. He also explains why peptides and GLP-1s became one of the biggest business trends in America and what separates the companies winning that market from the roughly 7,500 competitors chasing it. If you are a founder who feels like you do not belong in the room because you came from outside the industry, this episode is proof that outsiders see what insiders cannot.
If you are stuck debating your product while your operations quietly bleed customers, Kris shows you exactly where to look. And if you have been telling your family "one more year," this conversation will hit harder than you expect.
0:00 Introduction
0:43 What Is A Compounding Pharmacy 3:15 Why Are Peptides The Hottest Thing Right Now
5:31 Could Technology & AI Help Us Live Longer
7:17 The Challenges Kris Faces Scaling Wells Pharmacy
8:14 The Biggest Misunderstanding Around Compounding
9:47 What Helped Kris Scale Wells Pharmacy Network
11:54 Kris Wakes Up Thinking About…
13:16 What It's Like Working With Many Organizations
14:40 What Got Kris To Where He Is Today
18:04 Kris’s Personal Sacrifices On His Journey
20:14 An Unlimited Possibility Moment For Kris
21:30 Closing Thoughts
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Daniel and Tal trace Tal’s origin story from writing code in elementary school to building Cloudinary with two co founders over decades of friendship. Tal explains why bootstrapping forced discipline and protected culture, how Cloudinary grew product led before “PLG” was a label, and what it means for employees when option value rises without constant dilution from new funding rounds. The conversation then pivots into the AI era, where Tal is actively experimenting with AI assisted coding systems, and where he predicts both huge opportunity and a much bigger roller coaster for founders.
Key Discussion Points
Tal shares that computers felt like a creative superpower because he could imagine something and make it real, and that drive never left him.
He explains how the act of building changed from BASIC and Pascal to orchestrating AI agents, but the core satisfaction is still creation.
Tal breaks down why bootstrapping is harder than fundraising, because you must earn revenue fast, spend with discipline, and grow at a pace that preserves culture.
He explains the upside of founder control, the board remains the founders, allowing them to design the company’s path, values, and hiring standards.
Tal describes a hidden employee benefit of bootstrapping, option value can grow with revenue without the repeated dilution and preference complexity of venture rounds.
He shares a hard learned go to market lesson, moving too far upmarket too quickly lowered win rates and created lottery quarters, forcing a return to a healthier range before expanding again.
Tal explains why the barrier to starting companies keeps dropping, first cloud enabled Cloudinary, now AI agents enable coding, marketing, and selling, making “zero person companies” plausible.
He pushes back on the idea that everything becomes a race to zero price, arguing that enterprise grade reliability, compliance, and the cost of mistakes create a durable moat.
Tal describes the co founder operating system that kept them together for 30 years, weekly conversations, honest venting, and deep understanding of when to push and when to back off.
He closes with a grounded view on entrepreneurship, it is a little crazy, rules keep changing, and not everyone should be a founder, but impact is possible as an employee too.Takeaways
Bootstrapping is a strategy, not a flex, it buys control and cultural consistency, but demands early revenue and relentless discipline.
AI will make building cheaper and faster, but it will also make competition faster, and real moats will come from reliability, trust, and execution in complex environments.
If you go upmarket too soon, you can trap yourself in “lottery quarters,” so watch win rate as closely as deal size.
Three co founders can be a strength because it creates a balancing mechanism, especially when conflict or pressure rises.
The future may reduce scarcity, but humans will still need purpose, meaning, and a way to feel impactful, even if robots do more of the work.Closing Thoughts
Tal Lev-Ami is a rare blend of builder and long game operator, someone who scaled without losing the craft and then returned to hands on creation through AI. This episode is a reminder that the best companies endure because they earn trust, not because they raise the biggest round. In an era where anyone can ship fast, Tal’s message lands hard: the real edge is building something that keeps working when the stakes are high.
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Daniel and Harrison Allen Lewis break down why the best leadership lessons often come from terrible management, and why clarity beats charisma in modern organizations. Harrison explains his operating model for transformation: define the outcome, anchor a strategy to that outcome, then build a plan that the business can own. They also explore career leverage, mentorship, fear as a signal, and why great CIO work is less about tools and more about aligning people, incentives, and accountability.
Key Discussion Points
Harrison shares the grocery store story that stuck with him: he thought he was trusted with the keys, then learned later it was an escape during a bomb threat, which taught him accountability the hard way.
Daniel and Harrison discuss why many companies promote or place people without matching strengths, and why the better approach is doing change with people, not to people.
Harrison explains the transformation chain: outcome first, then strategy, then plan, and why starting with a plan creates chaos.
They unpack differentiation in the AI era, where tools are everywhere, and the edge is understanding value, willingness to pay, and the unique properties of your tools.
Harrison calls out silos as a major failure point, where people show up as their function instead of as business owners solving a shared problem.
He shares his worst CIO moments: being asked to execute a doomed plan, or being the new leader who tells the uncomfortable truth and becomes the most hated person for a month.
Harrison describes the loneliness of leadership and how he leaned on reciprocal mentors and peers as a sounding board.
He argues EQ will matter more, but AI can increase effective IQ by offloading minutiae into a knowledge base so leaders can operate at a higher level.
Harrison closes with his butterfly effect story: a Kroger manager handing him an application changed everything, and his father’s rule became his compass: say yes unless you have a good reason to say no, and fear is not a reason.Takeaways
The best leaders are transparent and candid, and they treat people as capable adults who can handle the truth.
If your plan is not anchored in strategy and your strategy is not anchored in outcome, your transformation is already failing.
Silos destroy momentum, and alignment happens when teams solve one business problem together instead of defending their department badge.
Fear is often a signal that an opportunity is real, and saying yes can create the career path you never could have planned.
In the AI era, differentiation comes from value creation and tool mastery, not from having access to the same software everyone else has.Closing Thoughts
This episode is a masterclass in practical leadership, the kind built in stores, boardrooms, and crisis moments, not in slogans. Harrison Lewis shows that transformation is not a tech upgrade, it is a human alignment problem anchored in outcome, strategy, and accountability. If you are leading change right now, this conversation will give you a cleaner playbook and a better mindset for the hard days.
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Daniel and Anastasia Soare start with Romania, identity, and the immigrant experience, then trace her journey from arriving in the US in 1989 to building one of the most globally recognized beauty brands in the world. Anastasia explains how she went from an esthetician job to renting one room and one chair in Beverly Hills, betting on an overlooked idea: eyebrows. She shares why curiosity and mastery mattered more than “manifesting,” how trust built her celebrity relationships, and why she sees ABH as a legacy she will never stop building, alongside her daughter.
Key Discussion Points
Anastasia shares how hard the first six months in LA were, crying daily because she left family, community, and certainty behind and arrived with no language or security.
She explains how life under communism trained her for entrepreneurship, constant problem solving, adapting daily, and finding solutions without expecting help.
Anastasia describes why she chose brows, using art, architecture, and the golden ratio to create a repeatable technique that made faces look balanced and lifted.
She recalls being told she was crazy by her husband, landlord, and community, but her mindset was simple: what do I have to lose if I believe in this.
The Oprah moment in 1998 became the turning point, her “Oscar moment,” because Oprah understood the concept and broadcast it to the world before social media existed.
She explains how celebrity relationships grew over decades, including working with Jennifer Lopez from early in her career, and why trust is everything at that level.
Anastasia shares her partnership with private equity in 2018, then reveals she personally invested $225M to maintain majority control when the firm exited after COVID disruption.
She describes ABH as pure legacy, saying she will never “retire,” because innovation and building products with her daughter is her purpose.
She explains product innovation as a loop of consumer insight, social signals, and chemistry advances, sharing how formulas like brow pomade became possible only when labs could make them waterproof.
Anastasia credits her daughter for pushing ABH onto Instagram in 2012 to educate customers digitally and reduce constant travel, which later fueled massive growth in retail.Takeaways
Immigrant grit is transferable, the same mindset that helped Anastasia survive scarcity became the mindset that helped her build a brand under pressure.
You do not need a huge dream to start, you need obsession with mastering one craft, and for Anastasia that craft was brows.
Success is easier to achieve than to maintain, and long term winners keep working like rent is due even after the brand is iconic.
If you want to win as a founder, leave ego behind, ask questions, admit what you do not know, and learn directly from customers.
Legacy is a decision, and Anastasia’s $225M reinvestment shows how founders protect what they built when outside capital priorities shift.Closing Thoughts
Anastasia Soare’s story is proof that category creation starts with conviction before the market agrees. She did not follow a trend, she created one, then defended it with craft, discipline, and decades of trust. This episode is a reminder that the American Dream is not a vibe, it is endurance, humility, and the willingness to bet on yourself twice, even after you’ve already “won.”
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Daniel and Guest Host Nadja interview Craig Hamilton-Parker about how he developed his psychic practice, how he distinguishes intuition from opinion, and why he believes prediction is about probability, not destiny. Craig shares a bold call on the Los Angeles mayor race, then zooms out to discuss broader global tensions and what he sees as an approaching “pressure window” in the coming years. They also explore AI, consciousness, and Craig’s belief that periods of instability can trigger deeper questions about meaning and identity.
Key Discussion Points
Craig explains his background and how his work evolved from early experiences into public-facing predictions, plus the responsibility that comes with making specific calls.
He shares his prediction that Spencer Pratt will be the next LA mayor, and the conversation examines why “off-script” authenticity can outperform traditional political playbooks.
Craig outlines how he thinks about major world events as shifting probability paths, emphasizing that timing can be difficult and outcomes can change with collective decisions.
They discuss current geopolitical flashpoints and Craig’s view of a heightened risk period that could peak around 2028, while still leaving room for de-escalation and course correction.
On AI, Craig takes a tool-based view, arguing that it can amplify or destabilize humanity depending on how people use it, and he believes human meaning-making still matters most.Takeaways
Predictions, in Craig’s view, are probability maps, not fate, and the most constructive stance is preparation without fatalism.
People respond emotionally during uncertainty, which is why authentic, unpolished voices can rise fast in politics and media.
If you consume prediction content, keep discernment: treat it as one input, not a replacement for decision-making and personal responsibility.
AI may accelerate output and misinformation at the same time, making verification, calm thinking, and trusted relationships even more valuable.Closing Thoughts
This episode is less about “believing or not believing” and more about how humans seek certainty in chaotic times. Craig Hamilton-Parker leaves listeners with a challenge: stay curious, stay grounded, and don’t outsource your agency to fear—whether it comes from news cycles, algorithms, or predictions.
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Kate Monroe went from Marine Corps veteran to 8-figure CEO, actress, mother, and one of the most relentless entrepreneurs you'll ever hear from. But the lesson that shaped her life did not come from business school. It came from her dad when she was 7 years old.
In this episode of Founder's Story, Daniel Robbins sits down with Kate Monroe to talk about how she scaled her company from $750,000 to nearly $34 million in sales in just three years, why she believes success starts with a decision, and how one childhood lesson taught her to handle pressure, problems, and pain without letting them ruin everything else.
Kate shares the difference between being a "makeup bag person" and a "toolbox person," a simple mindset shift that helped her compartmentalize challenges, build a veteran-owned company, run for Congress, step into film, and launch Studio Mint.
This is a conversation about grit, discipline, ambition, and what it really takes to keep going when most people would quit.
In this episode, we cover:
The lesson Kate learned from her dad at 7 years old How she scaled from $750K to nearly $34M in sales Why "decided" became one of the most important words in her life How she writes a full book in just 14 hours Why being the face of your brand can change everything The mindset behind outworking the competition Her move into acting, movies, vertical shorts, and Studio Mint Why she believes social media has made people more disconnected The difference between starting something and actually finishing itFollow Kate Monroe: Instagram / Socials: @KateMonroeCEO Website: KateMonroeCEO.com
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Daniel and Eric Ries explore the collision of Lean Startup thinking with the AI era, why “anyone with a credit card” can now access world class tools, and why that democratization also creates brutal competition. Eric argues fatalism about AI is dangerous because we still have agency, but only if we build civic infrastructure and accountability. The conversation then pivots into Incorruptible, where Eric documents a 200 year pattern: mission driven companies discover a better way to build, then still get ruined at the peak of success through bureaucracy, extraction, and misaligned incentives.
Key Discussion Points
Eric says AI is an extension of macro trends he’s written about for decades: access to the means of production is now cheap and global, which makes entrepreneurship more open than ever.
He challenges the assumption that making one step faster makes the whole process easier, because entrepreneurship is adversarial and competitors and incumbents get the same acceleration.
Eric explains why he’s skeptical of fully unsupervised agents for mission critical work: reliability breaks down as tasks encounter out of distribution scenarios, so humans-in-the-loop matter.
He introduces Incorruptible and the idea that governance is a design problem, not a vibes problem, describing companies being “surgically deboned” as they grow and optimize for extraction over value.
Eric breaks the “double mystery”: if mission driven capitalism is more profitable, why do companies still get ruined, yet a few outliers like Patagonia and Costco resist the pattern.
He argues it’s “always too early until it’s too late” to protect mission, and recommends structural moves like writing purpose into the corporate charter and designing boards and protections early.
They discuss alternative liquidity and longevity structures beyond a classic exit, including foundations, ESOPs, employee ownership trusts, and purpose trusts, citing examples like Eileen Fisher and Patagonia.
Eric reframes the word “exit” as part of the problem and shares research suggesting many founders regret selling one year later, questioning what success is for if it destroys what mattered.Takeaways
AI makes building easier, but it also makes everyone faster, so the advantage comes from judgment, focus, and designing systems that can outlearn competition.
If you want to protect mission, you have to encode it structurally, not just culturally, because the gap between stated purpose and actual incentives will eventually swallow the company.
“Exit” is not the only path to liquidity, and founders can design for longevity with structures like ESOPs, purpose trusts, and foundation ownership.
Agentic AI is powerful when humans stay the driver, but dangerous when accountability is impossible and reliability becomes probabilistic.
The earlier you build protections, the easier they are, because governance becomes exponentially harder to change once scale and incentives lock in.Closing Thoughts
Eric Ries helped define how modern startups ship products, but this episode shows he’s now focused on something deeper: how great companies survive success without betraying their purpose. In an AI era where building is cheap and truth is noisy, the real edge becomes institutional design, clarity of mission, and the courage to structure a business that outlives you without losing its soul.
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Daniel Robbins interviews Chuck Knueve about watching his son suffer for decades while the healthcare system searched for answers. Chuck breaks down why Cushing’s disease is so difficult to diagnose, what he believes is broken in the process, and how earlier testing could prevent irreversible harm. He also shares why he wrote the book during COVID, how he learned to write at 73 by joining writing guilds, and why he structured the story through his son’s point of view to show what families live with at home, not just what doctors see in clinics.
Key Discussion Points
Chuck explains that diagnosis often takes years because Cushing’s hides behind common symptoms, and his son’s case took over twenty years.
He argues the issue is not one person, but the diagnostic process and guidelines, especially testing not happening soon enough.
Chuck shares the early red flags he wishes had triggered action sooner, including the “buffalo hump,” “moon face,” and abdominal stretch marks appearing together.
He emphasizes the importance of finding an endocrinologist who specializes in Cushing’s disease, ideally at a university or teaching hospital.
Chuck describes the moment he committed to writing the book, a family Zoom call during COVID where his siblings challenged him to start.
He explains why he added jingles: not to be cute, but to create memory triggers that help people recognize the pattern months or years later.Takeaways
Rare diseases can hide in plain sight, and persistent multi-symptom patterns deserve early testing, not years of waiting.
Parents and patients often have to advocate harder than they think, including pushing for specialist care when the path stalls.
Even when the disease is corrected, delayed diagnosis can mean permanent damage, which is why time is the real enemy.
Writing can become advocacy, and Chuck’s goal is simple: make the next family’s journey shorter than his son’s.Closing Thoughts
This episode is a reminder that medical systems can miss what families live with every day, and that a single story can change awareness faster than a guideline update. Chuck Knueve turned decades of pain into a practical tool for earlier recognition and better outcomes. If you suspect something is off and you keep hearing “wait and see,” this conversation will push you to ask better questions and keep going.
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Daniel Robbins interviews Shawn Zhang, CTO and co-founder of Sanas, about the future of education, AI, and communication, and how a single unfair workplace experience turned into a generational company. Shawn explains why the real value of college is people, not lectures, and why the best startups start with real pain, not cool tech. He tells the origin story of Sanas, how they navigated public criticism about “erasing” identity, and why the company’s mission is the opposite: to help people be understood and evaluated on their talent, not their accent.
Key Discussion Points
Shawn explains why COVID “broke” the college experience, and why the real value of Stanford was the people and the intellectual Disneyland effect, not the homework.
He shares how he and his co-founders stopped chasing “cool solutions” and instead focused on finding a real problem that people felt deeply enough to pay to solve.
The Sanas origin story comes from a friend in Nicaragua whose call center customers complained about his accent, hurting his performance scores, pay, and mental health.
Shawn describes the backlash period when Sanas was accused of “whitewashing voices,” and why messages from immigrants who felt held back reinforced the mission.
Daniel reads Sanas growth stats, $121M raised and $62M revenue in two years, and Shawn shares how gratitude and determination rise with momentum, not ease.
Shawn talks about the founder skill of exposing unknown unknowns by being vulnerable with mentors and peers, because the internet rarely reveals what you’re doing wrong.
They discuss Gen Z ambition, purpose-driven work, and the danger of social media’s highlight reels creating disillusionment for young builders.
Shawn explains why Silicon Valley matters less for fundraising and more for density of honest conversations with builders who help you see blind spots.
He uses rock climbing to describe scaling: early mistakes are painless, but as you climb higher the fall gets real, and pressure becomes part of the thrill.
On AI and engineering, Shawn argues AI will empower builders, but taste, reliability, and craftsmanship matter more, and junior plus senior engineers should work closer together, not be replaced.Takeaways
A great startup starts with real pain, not a clever demo, because pain creates urgency, willingness to pay, and long-term demand.
If your product sits in a moral debate, listen closest to the people living the problem, not the people reacting to headlines.
The fastest way to grow is to surface unknown unknowns early through mentors, peers, and real-world conversations, not public posturing.
AI will not eliminate engineers, it will raise the bar for quality, and the differentiator becomes taste, systems, and production reliability.
Social media can distort reality for founders, so staying grounded in real relationships and honest feedback loops is a competitive advantage.Closing Thoughts
Shawn Zhang’s story is a reminder that inclusion is not a slogan, it is a product decision that changes someone’s daily life. Sanas exists because one person’s accent was treated like a flaw instead of a story, and Shawn turned that into a platform built to bridge understanding. In an AI era, this episode argues something unexpected: the more technology grows, the more human connection, empathy, and real communication become the ultimate edge.
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Daniel Robbins interviews Daniel Lubetzky on what shaped his obsession with bridging divides and building mission driven brands. Daniel explains how his father’s Holocaust survival created a survival instinct that later became entrepreneurship, and how early failures taught him the reps he needed before KIND. They dive into the psychology of founders, separating self worth from the pursuit of excellence, and the hidden ingredient behind KIND’s rise: a product people loved and a culture with ownership, transparency, and no politics.
Key Discussion Points
Daniel Lubetzky explains why he believes kindness itself has not changed, but social media anonymity has weakened eye to eye human connection and made dehumanization easier.
He shares how he approaches Shark Tank with empathy first, letting founders pitch uninterrupted, then asking tough questions, because trying is already a win and failure is part of the odds.
Daniel talks about his ADHD mind, constant idea streams, and why early formative experiences, like magic and language learning, became business skills later.
He reveals a deeply personal driver: as a child of a Holocaust survivor, he learned languages and skills as a survival instinct so he would be useful, not expendable.
On KIND’s rocket ship, he credits the right product at the right time, a brand that stood for something real, and a culture where everyone acted like an owner with high transparency.
Daniel explains the “AND” mindset, most people think in OR, but breakthroughs come from rejecting false tradeoffs and designing for both sides of the equation.
He warns that raising kids in comfort can kill the fire to build, and argues we must teach agency and protagonist thinking, not rigid victim or oppressor labels.
Daniel shares what scares him most: toxic polarization, dehumanization, and algorithms that profit from division, which is why he champions the Builders movement.
He gives a simple Builder framework: curiosity, compassion, creativity, and courage, and defines builders as people who unite rather than divide.
He closes with a key founder lesson: separate your self worth from your quest to be great, because the pursuit can be ruthless if it becomes your identity.Takeaways
Trying is winning, because each venture increases your odds and builds your skill, even when the first attempts fail.
KIND’s success was not only marketing, it was product obsession, relentless hustle, and a culture built on ownership and transparency.
If you want to build something new, stop copying existing categories and look for the unsolved problem behind a false OR, then design an AND.
Your mindset must protect your mental health: separate self worth from performance so failure becomes feedback, not identity collapse.
The most important choice in a polarized world is whether you become a builder or a destroyer, and the builder tools are the four Cs.Closing Thoughts
This episode is a masterclass in founder psychology and modern leadership, delivered by someone who built a category defining brand while staying obsessed with humanity. Daniel Lubetzky’s story proves that fear can either consume you or drive you to create safety, purpose, and impact. His final challenge is simple: choose to build, practice the four Cs, and never let your quest for greatness turn into self hatred.
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Daniel Robbins interviews Brandon Card, the CEO of Terzo AI, about the hidden financial chaos inside enterprise contracts and why AI is the only scalable way to fix it. Brandon explains how Terzo helps companies treat contracts like financial assets, not legal documents, extracting obligations and commitments with 99.9% accuracy through a hybrid model of AI plus trained human review. They also discuss why Terzo started by selling into Fortune 100 instead of SMB, how early customer pain shaped product-market fit, and why Brandon is equally focused on building community and mental health resilience as he is on revenue.
Key Discussion Points
Brandon explains the origin of the name Terzo, inspired by “third” in Italian and the idea of managing third-party relationships, plus the “Oracle effect” of a timeless name beyond one product.
He recounts incorporating the company on March 13, 2020, then watching airports go empty as COVID hit, building on Zoom 18 hours a day through chaos and loss.
Brandon describes the pain he lived at Microsoft: customers managing $50B supplier spend with no tools, contracts lost, and manual PowerPoint decks built from screenshots to summarize global agreements.
He argues CLM systems were built by lawyers for drafting, not for procurement and finance workflows, leaving a massive gap no one understood until recently.
Brandon shares the early breakthrough: realizing contracts are 300–400 pages long and signed by the thousands, making human-only review mathematically impossible.
Terzo’s key differentiation is accuracy through humans-in-the-loop, because LLMs can miss financial context across related documents and even turn $1M into $3M in naive extraction.
He explains why they started enterprise-first, taking on SOC, GDPR, and security onboarding to win Fortune 100 master service agreements rather than “credit card swipe SaaS.”
Brandon shares his view on AI safety: he believes models behave like they have a “mind of their own,” and that even builders struggle to govern or fully control them.
The conversation turns to mental health and community, with Brandon advocating in-person connection, events, and digital detox as the antidote to a cyborg-like, always-online world.Takeaways
The best startup ideas come from living the problem daily, because real enterprise pain creates urgency, budget, and durable demand.
If you are dealing with financial reporting, audits, or compliance, you cannot accept 94% accuracy, which is why human review plus AI QA is the path to trust.
Unsexy infrastructure wins long term, because databases and contract systems become foundational layers that everything else depends on.
Starting with Fortune 100 is hard, but once you pass their vendor gatekeeping, you build defensibility and a moat that smaller competitors struggle to cross.
AI can support mental health through journaling and low-friction venting, but humans still need real community, nature, and offline connection to stay balanced.Closing Thoughts
Brandon Card’s story is a blueprint for enterprise founders: pick a problem that is mathematically impossible to solve manually, build a system that produces trusted data, and commit to the hard path of selling into the biggest customers first. This episode also lands a deeper message: the future is not only about building powerful AI, it is about keeping humans strong enough to live with it. Terzo is building contract intelligence, but Brandon is also building a culture of community, resilience, and long-term thinking.
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- Visa fler
