Millennial Masters

Konstantin Klyagin has spent more than two decades building software for other companies, and lately he’s also been fixing more of what AI helps people build.Through his agencies Redwerk and QAwerk, he sees what happens after the prototype looks convincing and real users start doing things you didn’t expect. Something that worked perfectly in a demo can suddenly fail on basic workflows, from payments to duplicated bookings.That’s why Konstantin sees AI as a multiplier. It can help you build more, but it can also accelerate a bad decision before you’ve realised you misunderstood what people actually need. When almost anyone can turn an idea into working software, deciding what deserves to be built becomes more important.In this episode, we get into where vibe-coded products start to break, what still needs proper technical experience, and how to build a software business when AI is available to everyone. We also talk about bootstrapping, hiring behind demand, and what 21 years in business taught Konstantin about adapting when circumstances change underneath you.___⭐️ Episode sponsored by DataForSEO ⭐️Check how your business appears across AI answers and web search. DataForSEO is pay-as-you-go, and new users who sign up through the Millennial Masters get $5 in credits to try it.👉🏻 Check your visibility 🔎 https://l.dataforseo.com/3Uu7ksv___What we cover1️⃣ When AI accelerates the wrong decisionKonstantin explains why AI multiplies whatever thinking is already there. Strong judgement moves faster, but weak assumptions do too.2️⃣ The gap between a convincing demo and a reliable productVibe coding can get you surprisingly far, but real users expose problems that prototypes often hide.3️⃣ Knowing what deserves to be builtAs software gets easier to make, the bigger edge comes from understanding customers well enough to know which problems are actually worth solving.4️⃣ Where proper engineering still mattersAI can push back the point where you need senior technical experience. Once real users depend on the product, architecture and reliability become much harder to fake.5️⃣ Growing around the demand you actually haveKonstantin has spent 21 years building without outside funding and avoids hiring for a future version of the business that hasn’t arrived yet.Chapters00:00 Introduction to Konstantin Klyagin01:59 DataForSEO sponsor message03:21 More code doesn’t mean more progress05:27 Build what users actually need07:20 A prototype can look finished and still fail10:45 AI multiplies bad decisions too13:02 When you still need a CTO17:52 Don’t hire ahead of demand21:48 Understanding the customer becomes the edge25:51 DataForSEO sponsor message26:06 AI doesn’t belong everywhereGet more founder interviews and practical business lessons in the Millennial Masters newsletter at MillennialMasters.netKnow someone vibe coding their next product? Send them this 🛠️ Get full access to Millennial Masters at millennialmasters.net/subscribe

Tiny decisions rarely feel expensive in the moment. One more email, one quick question from the team, one interruption you deal with before getting back to the work you were doing.Barry Cryan sees the cost of those interruptions differently. Through his company, Do More Better, he works with business owners to reduce how much work keeps flowing back to them and build systems that give them more room to focus.He calls the problem the invisible tax. The more decisions that depend on you, the harder it becomes to get proper time on the work that actually moves the business forward.AI can help, but Barry makes an important distinction. Using it to answer an email faster still leaves you doing the email. The bigger opportunity is to build systems that remove repetitive work from your day altogether.In this episode, we get into how founders become too central to the business, where that hidden drain usually starts, and how better systems can give you time back without adding more hours.What we cover1️⃣ The hidden cost of constant small decisionsBarry explains why the problem is rarely one huge interruption. It is the steady stream of tiny decisions that keeps pulling your attention away from deeper work.2️⃣ Using AI to remove work, not just speed it upThis part gets into the difference between doing the same task faster and redesigning the workflow so you no longer need to touch it.3️⃣ When a bigger team creates more dependencyHiring more people does not help if every question still comes back to you. Clear processes give people something to work from without waiting for approval.4️⃣ Protecting attention before the day gets fragmentedNotifications and constant availability make it harder to stay with demanding work. Barry talks about creating clearer boundaries around when communication happens.5️⃣ What you do with the time you get backFreeing an hour does not automatically improve the business. The real gain comes from protecting that space for work that needs your judgement or for time you actually want outside the company.Chapters01:42 The rise of AI in business04:12 AI operators vs AI builders06:20 The invisible tax of micro decisions08:35 Creating systems to remove bottlenecks11:00 The cost of micro decisions13:20 Reducing friction in decision-making16:12 Implementing effective systems18:03 Giving teams useful playbooks20:24 Managing interruptions and focus22:14 Building trust in team ownership28:12 The cost of doing it all32:55 Delegating without staying in the middle38:10 Using AI for efficiency39:42 Measuring progress and capacity42:44 Filtering the noise for clarityGet more founder interviews and practical business lessons in the Millennial Masters newsletter at MillennialMasters.netShare this with someone who needs fewer interruptions 🔕 Get full access to Millennial Masters at millennialmasters.net/subscribe

Luke Tobin built Digital Ethos from a startup into an international agency before selling the business in 2022.By the time the offer arrived, the real work had already happened. He had spent years building the team, tightening how the company ran, and making sure it could keep moving without him at the centre of everything.That's what a buyer is really looking for. They want to know the clients will stay, the team can make decisions, and the business will not wobble the moment the founder steps away.Luke is also honest about the parts of growth that look good from the outside while quietly making the business weaker. More revenue can still mean thinner margins. A large client can still damage the team. Loyal people can still end up in jobs they are not ready for.In this episode, we get into what makes a service business worth buying, how founder dependency affects value, and why the best time to prepare for an exit is years before you plan one.What we cover1️⃣ Building the business buyers actually wantLuke explains why systems, delegation, and decision-making away from the founder do more to increase value than polished pitch decks ever will.2️⃣ The problems growth can hideRevenue, headcount, and new clients can all look positive while margins, delivery, and culture quietly move in the wrong direction.3️⃣ Knowing which clients to keepSome customers bring revenue but drain the team, reduce profitability, and make the whole business harder to run.4️⃣ Turning founder knowledge into company knowledgeThis part gets into documenting processes, building confidence in the team, and creating a business that keeps moving without constant founder involvement.5️⃣ Using AI to create better leverageAI frees up time, but the real advantage comes from how founders choose to use that extra capacity.Chapters00:00 Intro to Luke Tobin01:41 Growth can make the business weaker04:53 Inside an eight-figure sale07:29 What rapid scale exposes10:36 The numbers revenue can hide14:43 Overdelivery starts eating the margin16:19 Some clients make the business worse19:50 The client relationships that last23:43 Taking the founder out of sales28:32 Founder dependency kills value34:00 What buyers see behind the curtain37:52 The paid work trial that fixed hiring42:05 Loyalty does not make someone a leader48:19 AI rewrites service business economics54:35 What AI-native actually looks like58:36 The reality of an eight-figure exit01:02:51 Losing the business identity01:07:23 Building again without the same mistakes01:10:50 Build like the buyer is already watchingGet more founder interviews and practical business lessons in the Millennial Masters newsletter at MillennialMasters.netHelp another founder. Share this 💙 Get full access to Millennial Masters at millennialmasters.net/subscribe

Kate Assaraf built Dip to seven figures while turning down some of the growth channels most founders chase. She does not sell on Amazon, and she has not relied on Meta or TikTok ads. Instead, she built the business through independent refill stores, salons, and surf shops, one relationship at a time.On paper, some of those decisions look expensive. Kate believes the opposite. The shortcuts were the expensive option. Beneath the sustainable beauty story is a bigger question about how businesses grow and what happens when convenience starts pulling you away from the thing that made people trust you in the first place.In this episode, we get into growth channels, trust, repeat purchases, brand decisions, and what founders need to think about before saying yes to the kind of growth that changes the business underneath them.What we cover1️⃣ The expensive side of the shortcutKate shares why some of the fastest-looking routes turned out to be the costliest mistakes.2️⃣ What repeat purchases say that marketing cannotA first sale shows you got attention. A second sale tells you whether the product actually delivered.3️⃣ Trust built closer to the customerThis part gets into why Kate chose independent retailers, relationships, and slower channels over noisier growth tactics.4️⃣ The trade-offs hidden inside each growth channelAmazon, paid ads, and marketplace scale all come with consequences. Kate talks through what they change beneath the surface.5️⃣ Why generosity compounds over timeThe episode also looks at how support, loyalty, and real relationships can create a stronger business than pure efficiency ever does.Chapters00:00 Introduction to Kate Assaraf02:09 Starting again after a co-founder split04:22 The beauty marketing tricks Kate rejected06:11 Why refill stores changed the business07:39 Building through independent retailers09:18 Going analog when everyone went digital10:09 Why small stores became the real influencers11:44 The expensive lesson of taking on a partner15:11 Competing with beauty giants, not other bar brands17:37 Selling sustainability without guilt18:57 Why Dip refuses to sell on Amazon23:13 The real cost of marketplace convenience26:40 Why paid ads do not fit this brand29:09 The trust recession in beauty and ecommerce36:43 The biggest lie in beauty marketing39:09 Why Kate started her own factory44:17 Why generosity beats frugality45:13 Why shortcuts always cost more48:52 Working with your husband without chaos50:17 Rethinking growth and success51:29 The real sacrifices behind building Dip53:00 Costly founder mistakes and bad vendors57:06 How to avoid getting sold the shortcutGet more founder interviews and practical business lessons in the Millennial Masters newsletter at MillennialMasters.netSend this to a founder chasing the shortcut 🧼 Get full access to Millennial Masters at millennialmasters.net/subscribe

Hugo Pereira thinks a lot of people are struggling with a version of work that no longer feels stable. He has spent the last decade moving through startups, scale-ups, international expansion, leadership, and now a portfolio career, while watching technology move faster than most companies or careers can comfortably absorb.That perspective makes this conversation especially useful right now. Hugo is not talking about AI from the outside. He is building with it, testing workflows, rethinking how teams operate, and trying to understand what still matters when software gets cheaper, faster, and easier to produce. He is also unusually honest about the human side of all this: the pressure of trying to stay adaptable without losing yourself in constant change.In this episode, we get into scaling across markets, what bad management looks like before teams break, why AI gives speed for free, and why curiosity and a builder mindset matter more than chasing every new tool.What we cover1️⃣ Speed without judgementHugo explains why AI removes friction around execution but still leaves founders with the harder job of making better decisions.2️⃣ What international expansion exposes fastGermany forced a rethink at EVBox. This part gets into what breaks when companies move too quickly into new markets without understanding local reality.3️⃣ The management mistakes that show up before teams crackOne of the strongest leadership points here is about promotion, clarity, and the damage caused when companies confuse strong individual performance with people leadership.4️⃣ Staying relevant by staying close to the changeHugo talks about protecting time to learn, experiment, think, and build rather than drifting into autopilot while the market moves.5️⃣ Why the builder mindset matters more nowThe edge is not just using new tools. It is staying hands-on enough to understand what they change, where they help, and what still needs real judgement.Chapters00:00 Introduction to Hugo Pereira02:07 Why career plans break faster now05:01 What failed startups actually teach you08:14 How EVBox scaled across Europe11:06 Why Germany breaks expansion plans14:09 Build an industry, not just a company17:12 Why most scale-ups ruin their positioning20:03 Stop asking marketing for more leads23:18 What bad management looks like early26:41 Why clarity matters more than trust30:02 Stop promoting your best performer33:14 Protect deep work before AI kills it36:08 AI gives speed for free39:27 The builder mindset is becoming essential43:02 Why more people will build for themselves47:18 AI is making companies leaner52:11 Relevance means presenceAlso mentioned in this episode:Hugo’s book, Teams In Hell: How To End Bad ManagementHugo’s newsletter, The Fractional DadGet more founder interviews and practical business lessons in the Millennial Masters newsletter at MillennialMasters.netShare this with someone building while the rules keep changing 🌍 Get full access to Millennial Masters at millennialmasters.net/subscribe

Gavin Bell built and sold a paid media agency by the age of 30. From the start, he wanted the business to become sellable, which forced a different kind of thinking around hiring, delivery, and how much still depended on him.One of the clearest lessons from his exit is that founders often hire help when they really need ownership. A helper takes tasks off your plate. An owner takes responsibility for an outcome. That difference shapes how the business grows, how much pressure stays with the founder, and whether the company can ever run properly without you in the middle.In this episode, we get into building a business that someone would actually want to buy, why your first hires set the standard, and how founders keep slowing the company down without realising it.What we cover1️⃣ The difference between help and ownershipGavin explains why taking tasks off the founder’s plate is not enough if nobody is truly carrying responsibility for an outcome.2️⃣ What makes a service business easier to sellThis part gets into systems, delivery, capacity planning, and the proof a buyer needs that the company can keep working when the founder leaves.3️⃣ Why founders need to understand the work firstDoing the job yourself early on helps you recognise quality, judge capacity properly, and delegate with a much clearer standard.4️⃣ How approval habits create dependencyStaying too close for too long teaches the team to keep coming back for sign-off, even when the founder thinks they are just protecting quality.5️⃣ Choosing a model that fits the life you wantAfter selling Yatter, Gavin became clearer on the kind of business he did and did not want to build next.Chapters00:00 Intro to Gavin Bell01:46 From fitness to Facebook ads03:59 The scaling problems that showed up early06:57 Why he rebranded and built Yatter09:55 What the early Yatter years taught him12:34 Delegation, trust, and building a team15:20 Systemising delivery inside the agency17:48 How the acquisition process unfolded20:27 What changed in advertising over time22:39 AI, personalisation, and the future of ads26:14 The downside of hyper-personalised advertising33:41 Where social media and AI go next37:17 What he learned from building and exiting41:08 Starting a new venture in healthcare46:52 Personal brand and why it matters52:13 Building a business that works without you57:30 How AI fits into business operationsGet more founder interviews and practical business lessons in the Millennial Masters newsletter at MillennialMasters.netSend this to someone stuck in delivery 🧱 Get full access to Millennial Masters at millennialmasters.net/subscribe

Yannik Schrade thinks a lot of founders are too casual about what they outsource. He is the founder of Arcium, building privacy infrastructure at a time when AI is making software easier to build, easier to copy, and more exposed than most people realise.His view is simple: If your edge lives in the product, the knowledge, and the way the team works together, you cannot keep giving that away and expect to build a real moat.In this episode, we get into in-house teams versus outsourced work, privacy as a competitive advantage, how AI is changing software, and why founder taste matters more than technical skill on its own.What we cover1️⃣ The work that should stay inside the businessYannik makes the case for keeping the core knowledge, product thinking, and team learning close rather than letting too much of it sit outside.2️⃣ Why privacy can strengthen the productThis part gets into treating privacy as part of the offer itself, not just a legal or compliance issue sitting in the background.3️⃣ What cheaper AI tools are doing to softwareAs building gets faster and easier, copying gets easier too. Yannik talks through the risks that come with that shift.4️⃣ Founder taste as the thing that holds it togetherTechnical skill matters, but once products get more complex, judgement around what should exist and what is worth building starts to matter even more.5️⃣ Putting yourself in rooms where useful things happenThe conversation also gets into luck, exposure, and why more opportunities come from being in enough real situations for something unexpected to open up.Chapters00:00 Meet Yannik Schrade02:04 From apps to privacy infrastructure09:26 Why the old model stopped working18:14 Building Arcium around privacy25:44 Where financial systems go next27:01 What healthcare gets wrong about data27:46 The basics behind computational primitives28:42 AI, ethics, and privacy pressure29:39 Whether privacy can support a business model30:39 Funding privacy technology with VC money31:48 Fixing data silos in healthcare33:39 Why everyday apps should worry you36:05 Messaging apps and what secure really means39:38 Convenience versus privacy in AI tools41:38 Building a team that keeps the edge43:37 Putting yourself where luck can happenGet more founder interviews and practical business lessons in the Millennial Masters newsletter at MillennialMasters.netKnow a founder still outsourcing their edge? Send them this episode ⚔️ Get full access to Millennial Masters at millennialmasters.net/subscribe

Ben Tasker works close to the part most companies would rather skip. He leads AI upskilling and reskilling at scale, helping tens of thousands of employees learn how to use these tools properly inside real organisations.His background spans data science, product, healthcare, education, and workforce transformation. That gives him a clearer view than most of where AI is genuinely helping and where it is making things worse. A lot of companies say they are investing in AI when what they really mean is they bought a tool, opened a few licences, and hoped for the best. Ben’s view is more grounded. Most AI projects fail because the basics are weak: poor data, weak guardrails, little training, no real change management, and no clear idea of what the tool should actually be doing.In this episode, we get into why AI is still misunderstood inside businesses, why treating it like simple automation causes problems, how leaders should think about upskilling, and what changes when junior work starts disappearing first.What we cover1️⃣ What AI is actually doing under the hoodBen explains why these systems are predicting rather than understanding, and why that matters when founders expect too much from weak prompts and vague instructions.2️⃣ The real reasons AI rollouts failThis part gets into poor setup, weak training, bad change management, and why buying a licence is not the same as changing how a business works.3️⃣ Where AI helps most inside a teamThe better use case is often augmentation rather than replacement. Ben talks through where stronger people can move faster and make better decisions with the right support.4️⃣ The messy data problem underneath the hypeBad systems, inconsistent inputs, and poor data hygiene still shape what AI can do well. The shiny layer does not fix that.5️⃣ What happens when junior work starts shrinkingThe episode also looks at entry-level roles, the pressure now hitting early-career work, and the skills people need if they want to stay useful through the shift.Chapters00:00 Introduction to Ben Tasker01:37 Data came before AI did03:27 ChatGPT changed what people think AI is06:16 Useful does not mean trustworthy09:33 AI is not the same as automation11:57 The right AI job depends on the size of the business14:52 AI can guide you, but it cannot think for you16:49 Start small before you break something bigger19:17 What to check before AI goes live21:21 Reviewing AI work without wasting time26:32 Advanced work still needs human judgement28:26 Human review is still doing the heavy lifting29:19 Bad data will break good AI33:10 AI skills are rising, human skills still matter35:44 Fear makes people resist AI before they learn it39:17 Junior roles are getting squeezed first43:15 The better move is augmentation, not replacement47:25 What businesses should do next with AIGet more founder interviews and practical business lessons in the Millennial Masters newsletter at MillennialMasters.netSend this to a founder using AI every day 📤 Get full access to Millennial Masters at millennialmasters.net/subscribe

Damon Flowers has spent more than 20 years building and scaling companies across eCommerce, SaaS, and coaching. He is a four-time CEO with two eight-figure exits, including growing one business from $3.5 million to $30 million in two years.In this episode, we get into the real reason growth starts to stall for a lot of founders. It is rarely effort. It is usually structure. Damon explains how to stop being the bottleneck, build a business that can move without you, and create operating systems that hold up as you scale.What we cover1️⃣ Why founders stay too central for too longWhen too much runs through you, growth creates drag. Damon breaks down how to spot the decisions, approvals, and workflows that still depend on you.2️⃣ Harder work does not solve a broken structureMore hours can keep things alive, but they rarely fix the underlying issue. This part gets into redesigning the way work flows across the business.3️⃣ What real delegation actually requiresStepping back is not about good intentions. It needs clear ownership, better handovers, and systems people can follow without pulling you back in.4️⃣ How to get teams thinking like ownersDamon shares how better accountability, visibility, and rhythm can change the way a team operates.5️⃣ Where AI fits into a better operating systemUsed properly, AI can remove friction and improve execution. Used badly, it just adds more noise.Chapters00:00 Introduction to Damon Flowers03:24 Early bruises in business07:03 Knowing your strengths and blind spots08:11 Better partners, better outcomes12:08 Stepping out of the middle18:16 Paying to buy back your time20:56 Delegating the low-value work23:43 Hiring, roles and handover26:12 The lonely side of running a business28:08 Getting staff to think like owners30:40 Losing sight of the numbers33:25 Cadence, dashboards and the right metrics37:52 Stabilise, build, optimise, grow41:39 AI inside the operating system45:53 Training your team to use AI wellGet more founder interviews and practical business lessons in the Millennial Masters newsletter at MillennialMasters.netSend this episode to the busiest founder you know 👀 Get full access to Millennial Masters at millennialmasters.net/subscribe

Gary Das built a seven-figure mortgage business with a team of 15. It still depended on him far more than it should have.Deals, decisions, and day-to-day problems kept finding their way back to him. The business had scale, but not separation. Instead of trying to patch it, Gary shut it down and rebuilt it properly. That reset led to the £10 task rule, a simple way to spot where your time is leaking and where ego is keeping you stuck.In this episode, we get into what keeps founders trapped in low-value work, the systems problems that quietly cap growth, and the mindset shift required to build a business that can move without you at the centre of everything.What we cover1️⃣ The £10 tasks keeping founders stuckGary breaks down the low-value work that keeps founders too close to the engine, even when the business looks successful from the outside.2️⃣ Ego, control, and the need to stay involvedBeing the closer, the fixer, or the person with all the answers can feel productive. It also keeps the team dependent on you.3️⃣ Bad leads, wasted budget, and false momentumGary shares what years of paying for weak leads taught him, and why trust, referrals, and reputation usually bring better business.4️⃣ When hustle stops workingMore effort can cover cracks for a while. It does not solve the structural problem underneath.5️⃣ Getting your team to think for themselvesThe real shift starts when people stop bringing you every problem and start bringing solutions.Chapters00:00 Introduction to Gary Das02:09 When success starts to feel miserable03:49 The reset that changed everything06:57 Why founder control becomes the problem12:51 The ego trap that kills businesses15:44 Why referrals beat paid leads18:32 Lead handling that keeps people warm21:20 The 3 lead magnets that convert24:12 Why founders get marketing wrong27:10 The first hire that buys back time31:16 Delegation, systems, and where to start34:47 What to automate and what to keep human40:18 Training people to think for themselves46:01 Metrics that show if you’re really scaling53:35 Starting again after building successGet more founder interviews and practical business lessons in the Millennial Masters newsletter at MillennialMasters.netShare this with someone who needs this today ⚡ Get full access to Millennial Masters at millennialmasters.net/subscribe

If you’ve ever raised capital, built partnerships, or tried to grow through referrals, you already know the pitch deck is not the whole story.David Homan has spent more than a decade building a global network of over 2,000 family offices, founders, and impact investors, with a clear system for turning introductions into funding, collaboration, and real business outcomes. As the founder of Orchestrated Connecting, he makes thousands of strategic introductions each year. His book explains the thinking behind it, and his startup, SOAR Connect, is building tools for people who want to manage relationships properly instead of chasing contacts.In this episode, we get into how access really works, what separates empty networking from relationships that actually lead somewhere, and why trust still decides who gets the reply, the introduction, and the second chance.What we cover1️⃣ The networking advice that wastes most people’s timeDavid shares his “34% rule” and explains why a lot of networking effort goes nowhere unless you get better at spotting the people who genuinely engage.2️⃣ Raising before the ask becomes urgentThis part gets into building trust before you need money, support, or favours, so your relationships are not only active when something is on the line.3️⃣ The inner work behind better relationshipsStress, self-awareness, and honest feedback all shape how people experience you. David explains why stronger networking starts there.4️⃣ A better way to pitch without performingWhether you are naturally confident or more reserved, the goal is the same: drop the act, explain what matters clearly, and make the conversation two-way.5️⃣ Why introductions carry real weightAn introduction is not a casual favour. David talks about follow-through, gratitude, and what it means to honour the chain when trust has been extended on your behalf.Chapters00:00 Introduction to David Homan01:56 The 34% rule of networking07:17 5 principles of real connection12:00 Network before you raise18:03 Self-work for better networking25:19 Pitching without bravado37:36 Can online trust be real?44:37 How people burn social capital50:45 Honour the chain of connection55:37 Conference networking tactics📘 Get David Homan’s book, Orchestrating ConnectionGet more founder interviews and practical business lessons in the Millennial Masters newsletter at MillennialMasters.netKnow someone raising soon? Send this before they start cold pitching everyone 🤝 Get full access to Millennial Masters at millennialmasters.net/subscribe

Anjeanette Carter has built and lost more than one career. She started as an actor, moved into YouTube, then into writing, building serious income online before that model broke and forced a reset.Today, she runs Stratis Media, a copywriting and LinkedIn personal branding business for founders and CEOs. From the outside, it looks like a clean pivot. In reality, it came out of pressure, uncertainty, and a market that moved faster than her old model could keep up with. When AI began reshaping her industry, she rebuilt again, this time around herself, her judgement, and the tools that were changing the work.In this episode, we get into what keeps a business alive when the model starts slipping, where personal brand gives founders more room to move, and which skills still hold their value when platforms, tools, and demand shift fast.What we cover1️⃣ The skill that keeps the lights onWhen demand drops, founders who can sell buy themselves time. Anjeanette explains why conversations, offers, and closing still matter most when everything else gets shaky.2️⃣ Personal brand as a safety netWhen your name carries weight, it becomes easier to attract clients, test new offers, and change direction without starting from zero.3️⃣ Why AI still needs judgementFaster tools do not fix weak thinking. Results only improve when you already know what good looks like.4️⃣ The risk of building on borrowed landIncome tied too closely to one platform can disappear fast. Businesses that own the client relationship recover with less damage.5️⃣ Moving before the model fully breaksWaiting burns time and money. This part gets into why earlier pivots usually create more room to rebuild properly.Chapters00:00 Introduction to Anjeanette Carter03:01 Half a million, then zero07:53 The copywriting edge most founders do not have11:24 When ChatGPT hit: panic, denial, then reality14:11 Why she laid off 7 writers19:27 The moment AI beat her team’s work21:56 Becoming a one-person agency24:52 Hard lessons on leadership29:33 How she hacked LinkedIn from zero31:38 AI will not save you if you do not know the game33:36 The one thing AI still lacks: judgement36:44 AI agents: promising, not ready39:13 Three LinkedIn profile fixes that pull clients in40:35 The LinkedIn lie that keeps you invisible42:12 Lurkers are buyers43:58 Viral posts vs paid posts45:13 Her dad’s rule: follow the bank account47:40 Money noise48:44 The moving goalposts problem49:54 Timers, not willpower53:20 Her controversial take on SEO54:49 Pivot earlyGet more founder interviews and practical business lessons in the Millennial Masters newsletter at MillennialMasters.netShare this with someone whose model just broke ⚠️ Get full access to Millennial Masters at millennialmasters.net/subscribe

Simon Jenner is the co-founder of Million Labs. He has spent the last two decades building, breaking, and rebuilding startups, from selling his first business in his mid-twenties to helping shape the early UK accelerator scene and supporting the launch of more than 1,900 startups.What makes this conversation timely is what he is seeing now. AI has made it far easier to build. People without a technical background can now ship products that once needed a team and serious funding. That has changed who gets to start and how quickly ideas can move. It has not made startups easier.In this episode, we get into where founders still get stuck once building is no longer the hard part, why sales and distribution decide far more than product quality, and what changes when AI lowers the cost of execution but raises the pressure everywhere else.What we cover1️⃣ When building stops being the bottleneckSimon explains how AI and no-code tools have compressed the time and cost of getting something live, and what that changes for founders at the start.2️⃣ The real pressure moves to sales and distributionAs execution gets cheaper, attention gets harder to win. This part gets into why go-to-market is still where so many startups fall apart.3️⃣ Why narrower ideas can work nowServing a focused market is more viable when upfront build costs are lower and founders can move faster without needing a huge team.4️⃣ Side hustles as a better runwayA lot of strong businesses start alongside paid work. That breathing room can extend the learning window and reduce bad decisions made under pressure.5️⃣ Launching before you feel readyFounders lose time waiting for certainty that never comes. Simon talks about what real user feedback reveals that internal polishing never will.Chapters00:00 Introduction to Simon Jenner01:24 Selling a business at 25 and what he got wrong04:26 Building a startup scene before it existed06:36 Why most accelerators do not actually work09:13 What separates builders from wannabe founders10:50 The one-million startup ambition14:47 No-code, vibe coding, and the collapse of build costs23:00 How startups should really go to market28:17 Why marketing costs kill more startups than tech32:37 Founders must sell or stall35:50 How Million Labs uses AI internally38:27 The traits Simon sees in winners42:00 The ideas that still excite him44:40 What off-road driving teaches about startups45:48 Protecting life outside the business49:03 Launch before you feel ready54:13 The myths founders need to let go ofGet more founder interviews and practical business lessons in the Millennial Masters newsletter at MillennialMasters.netShare this with a founder who still thinks the hard part is building 👀 Get full access to Millennial Masters at millennialmasters.net/subscribe