
Build it or Kill it
di Wilder BrooksStagione 1
The 24/7 Golf Club: Can an Unstaffed Golf Simulator Business Become a $1M Company?
Lease a commercial space. Install premium golf simulators. Give members app-based access. Keep staffing minimal. Operate nearly 24/7. No 150-acre golf course. No clubhouse. No tee-time starter. No weather problem. Just bays, screens, launch monitors, software—and recurring memberships. At first glance, it looks like an ideal modern business: high-ticket equipment + low staffing + recurring revenue + passionate customers. But the entire thesis may collapse on one brutal variable: How many hours per day can each simulator actually be sold? A simulator that sits empty from 9 AM to 4 PM still costs rent. A bay occupied every evening may still have only a limited number of profitable hours available. So the real question becomes: Are you building a golf business or buying expensive square footage that only makes money a few hours a day? Episode description Golf simulators have transformed what it means to play golf indoors. A golfer can now walk into a room in January, choose Pebble Beach on a screen, hit a real ball with a real club, and receive detailed launch data within seconds. That creates an intriguing business opportunity: What if the golf club of the future doesn't need a golf course? In Episode 5 of Build It or Kill It, we test the economics of a 24/7, membership-based indoor golf simulator club. The model sounds attractive: lease a relatively small commercial space, install premium simulator bays, automate entry and reservations, sell recurring memberships, and operate with minimal staff. But premium launch monitors, projectors, construction, rent, insurance, software, maintenance, customer acquisition, and limited peak-time capacity can turn an apparently simple membership business into a capital-intensive operation.The $1M Newsletter: Can a Small Audience Build a Big Business?
Do you really need millions of followers to build a million-dollar media company? In Episode 4 of Build It or Kill It, we test whether a solo founder can turn a relatively small but highly valuable audience into a serious business using newsletters, podcasts, premium subscriptions, sponsorships, affiliate revenue, research products, events, and digital products. We break down the actual economics behind independent media: subscriber acquisition cost, paid conversion, churn, retention, open rates, sponsorship pricing, CPMs, lifetime value, gross margins, and creator workload. Then we test multiple models: a 20,000-subscriber newsletter with a paid tier, a 50,000-subscriber free newsletter funded by sponsors, a 10,000-reader niche publication selling premium products, and a hybrid media business combining newsletter, podcast, research, and events. But the real question is bigger than audience size. If AI makes content cheap and abundant, what becomes valuable? Trust? Credibility? Unique research? Personality? Community? Distribution? We also examine the risks: platform dependence, expensive audience growth, sponsor concentration, AI-generated competition, creator burnout, poor conversion, weak differentiation, and the possibility that “owning an audience” sounds much easier than building one. The episode ends with the only question that matters: Can a niche media business realistically reach $1 million a year or should we kill the idea before it eats years of our life? One idea. Real numbers. Build it or kill it.
Buy It, Then Automate It: Can AI Turn a Boring Business Into a Better Business?
What if the best AI business isn’t a startup at all? In Episode 3 of Build It or Kill It, we investigate whether buying an existing profitable small business and modernizing it with AI could be a smarter path than starting from zero. We break down the economics of Entrepreneurship Through Acquisition—buying a business that already has customers, employees, revenue, and cash flow—and then ask what happens when you layer in AI, automation, better systems, and more efficient operations. This episode explores: how small-business acquisitions actually work search funds and self-funded acquisitions SBA loans, seller financing, and buyer equity SDE, EBITDA, purchase multiples, and debt service what makes a business attractive to buy which industries may benefit most from AI modernization where AI can realistically improve operations missed-call recovery, scheduling, CRM, invoicing, bookkeeping, customer follow-up, and reporting the risks of overpaying, hidden liabilities, owner dependence, and excessive debt whether AI can truly improve margins by 10%, 20%, or 30% how buying compares with starting a business from scratch why some “boring businesses” may be far harder to automate than they appear We also build a hypothetical acquisition, run the numbers, examine the downside, and ask the question that matters most: Is buying a cash-flowing business and modernizing it with AI a real opportunity—or just another attractive idea that falls apart once the debt, people, and operations get real? Then we make the call: Build it, pivot it, or kill it. Build It or Kill It tests business ideas using market demand, competition, startup cost, unit economics, execution risk, and real-world constraints before deciding whether the opportunity deserves your time and money.
The AI Automation Agency: Gold Rush or Already Too Late?
Every business wants AI. But most companies still struggle to turn powerful models into reliable workflows that actually save time, reduce costs, or make money. In Episode 2 of Build It or Kill It, we investigate whether starting an AI automation and agent implementation agency in 2026 is still a serious business opportunity or whether the market is already becoming crowded and commoditized. We break down the real business behind helping companies deploy AI agents, automate workflows, connect software, redesign operations, and move beyond simply giving employees access to another chatbot. We examine the economics, competition, and biggest questions: What are businesses actually willing to pay for? Is a generic AI automation agency still viable? Does specializing in one industry create a stronger business? Can one founder manage 10, 20, or even 50 clients? Which services create recurring revenue instead of one-time project income? What happens as AI tools become easier for companies to use themselves? Is the real value in building automations or in understanding the customer’s workflow better than anyone else? What would make this business defensible? We also test different pricing models, customer niches, startup costs, operational bottlenecks, and the cheapest way to land the first paying client before building an entire agency around the idea. Then comes the only question that matters: Build it, pivot it, or kill it? Build It or Kill It investigates startup ideas using market demand, competition, unit economics, real-world constraints, and actual numbers before deciding whether the opportunity deserves time and money.
Can One Person Build a $1M AI Business?
Can one founder really build a million-dollar AI business without a traditional team? In Episode 1 of Build It or Kill It, we break down whether AI has lowered the cost of building and running a company enough for one person to reach $1 million in annual revenue. We examine the business models with the best odds, including AI SaaS, automation services, vertical AI tools, micro-SaaS, digital products, and specialized B2B software. We also look at the numbers that actually matter: startup costs pricing customer acquisition gross margins churn AI/API costs support burden founder workload scalability defensibility distribution Then we test several paths to $1M in revenue: 100 customers × $10,000/year 1,000 customers × $1,000/year 10,000 customers × $100/year The bigger question is whether AI truly creates leverage or just makes it easier for everyone else to compete too. At the end, we decide whether the one-person AI company is something worth building, something that needs to pivot, or something to kill. Build It or Kill It is a business experiment podcast about startup ideas, real numbers, market demand, unit economics, and whether an opportunity actually makes sense.