Vertical SaaS: $0 to $10M ARR With Flat Pricing for Everyone

Vertical SaaS: $0 to $10M ARR With Flat Pricing for Everyone

Author: Omer Khan March 26, 2026 Duration: 49:55
Five years to the first million. Zero dollars raised. NFL teams pay the same price as high school teams. Hewitt Tomlin built TeamBuildr into a $10M ARR vertical SaaS company by focusing on one job function and refusing to charge enterprise customers more. Founders will hear why flat pricing drove more growth than premium tiers ever could. Hewitt shares how a single conversation with a college strength coach pivoted TeamBuildr from a social app to industry-specific SaaS, why founders who plateau at $500K ARR have a product-market fit problem, and how building for a job function instead of a market segment unlocked every customer from high schools to the NFL. Plus: Hewitt's take on why he won't build AI features until his customers ask for them - even as his biggest competitor bets on replacing coaches with AI entirely. TeamBuildr has 45 employees, has never raised funding, and still operates on the same co-founder agreement from 2012. This episode is brought to you by: 💖 Gearheart → Book a free consult and get the first 20 hours free 🌎 ThreatLocker → Book a demo 🔑 Key Lessons 🏢 Build vertical SaaS around a job function, not a market segment: TeamBuildr focused on the strength coaching workflow rather than targeting colleges or pro teams separately. This unlocked every segment from high schools to NFL teams with a single product. 💰 Flat pricing can drive niche SaaS growth through social proof: Hewitt charges pro teams the same as high schools, trading premium revenue for NFL logos that validate TeamBuildr to the volume market. As a bootstrapped company, this was more pragmatic than building enterprise tiers. 🎯 Stalling at $500K ARR signals a product-market fit problem: Hewitt advises that founders putting in full-time effort but plateauing for consecutive years should stop tweaking their go-to-market and reexamine whether their product actually solves what the market needs. 🤝 Treat early users as partners, not beta testers: Hewitt didn't send logins and wait for feedback. He showed up at conferences, called coaches personally, and built relationships. His first customer Dr. Steve Smith is still someone he stays in touch with 13 years later. 🧠 Listen to what customers want, not what they say they want: Customers describe missing features because they can't articulate the outcome they need. Hewitt's job is to peel back the request and identify the real workflow improvement, then decide what to build independently. 🛠️ Don't build AI features for the sake of building them in vertical software: While competitor Volt bets on AI replacing coaches, Hewitt waits for actual customer demand. He uses AI internally for developer productivity but won't ship customer-facing AI without conviction it enhances the profession. 🚀 Inbound marketing gets stronger as your niche SaaS customer base grows: Hewitt transitioned from cold calling to inbound by telling customer stories. Following HubSpot's principle that the best inbound originates with customers, a growing base made content and social proof more potent over time. Chapters What TeamBuildr does and who it's for How the idea started as a social app in college Revenue, team size, and business structure today Pivoting from athletes to coaches The conversation that changed everything Building the MVP and making the first dollar Getting free users to actually use the product Listening to what customers really want Competing with Excel in a market that didn't know SaaS existed Five years to the first million in ARR How Hewitt knew he had product-market fit Outbound vs inbound on the way to $1M Why half the customers are high schools Charging NFL teams the same as high school teams Building vertical SaaS around AI without replacing coaches Why customers aren't asking for AI yet Lightning round Resources Full show notes: https://saasclub.io/476 Join 5,000+ SaaS founders: https://saasclub.io/email

For anyone building a software company, the journey from an idea to a sustainable business is filled with specific, often daunting, questions. The SaaS Podcast-AI, Growth & Product-Market Fit for SaaS Founders exists to answer those with concrete stories, not abstract advice. Each week, host Omer Khan sits down with founders who have actually done it-they discuss the messy reality of securing those first few customers, the difficult adjustments needed to find true product-market fit, and the tactical decisions behind scaling to and beyond a million dollars in annual revenue. Conversations delve into the nitty-gritty of pricing models, sales processes, reducing churn, and the practical application of AI in a SaaS context. Omer’s perspective is shaped by having personally coached over a hundred and fifty founders past critical revenue milestones and conducting interviews with more than five hundred others. This depth of experience means every episode cuts straight to actionable insights, whether you’re painstakingly bootstrapping toward ten thousand in monthly recurring revenue or managing the complexities of rapid growth. The focus is relentlessly on proven strategies that have worked in the real world. Tuning into this podcast feels like gaining access to a private mastermind, a resource where thousands of other founders gather weekly to learn from the honest successes and setbacks of their peers.
Author: Language: English Episodes: 100

The SaaS Podcast - AI, Growth & Product-Market Fit for SaaS Founders
Podcast Episodes
Bootstrapped SaaS: $400K to $30M ARR With Zero Funding [not-audio_url] [/not-audio_url]

Duration: 45:57
$50 million exit already in the bag. But Sam Darawish chose to bootstrap his next SaaS with just $400K. He didn't pay himself for two years. He showed up to Affiliate Summit with nothing but screenshots. Two people signe…
Product-Led Growth: 8-Figure ARR With $0 Ad Spend [not-audio_url] [/not-audio_url]

Duration: 56:32
$200M exit. CEO of Foursquare. Then David Shim bet everything on product-led growth with zero ad spend. The first version flopped - just 5% of users came back after 30 days. But instead of hiring a sales team, David doub…
First Customers: 200 Free Websites to $27M ARR [not-audio_url] [/not-audio_url]

Duration: 57:26
50-70 year old customers who hated vendors, distrusted cloud software, and refused monthly subscriptions. Kevin Wagstaff won his first customers by building 200 websites for free and spending 10-12 hours a day in Faceboo…
SaaS Product-Market Fit: 200K Users With Zero Marketing [not-audio_url] [/not-audio_url]

Duration: 58:35
20,000 test billing emails sent to real customers. Total chaos. Sergiy Korolov's team built a quick fix - and accidentally discovered SaaS product-market fit. When they shared the tool with the Ruby on Rails community, i…
Bootstrapped SaaS Growth: Two Revenue Crashes to $10M [not-audio_url] [/not-audio_url]

Duration: 42:52
Five years of 60-hour weeks. Nights and weekends. Then COVID wiped out every customer overnight. Jonathan Kazarian's bootstrapped SaaS growth story is one of the most dramatic in SaaS history. He built Accelevents to $1M…
AI-Powered SaaS: 6 Years of Service Data to $18M ARR [not-audio_url] [/not-audio_url]

Duration: 50:13
Six years of logging every task. Thousands of hours of executive assistant data. Richard Hollingsworth turned proprietary agency logs into an AI-powered SaaS that went from $1M to $18M ARR in nine months. Fyxer's models…
B2B SaaS Sales: How Firing SMBs Led to 8x Growth [not-audio_url] [/not-audio_url]

Duration: 43:33
SMBs were 70% of revenue but churning fast with misaligned feature requests. Bernard Aceituno fired them all and focused on B2B SaaS sales in the mid-market. The result was an 8x revenue multiplier in one year, with deal…
Product-Market Fit Lost and Found After a 100x Spike [not-audio_url] [/not-audio_url]

Duration: 46:34
Negative 110% gross margins. Then COVID demand spiked 100x overnight - and nearly killed the company anyway. Pat Kinsel spent years chasing product-market fit while losing money on every transaction. When the pandemic br…
Product-Market Fit: 2 Failures to $200M ARR at Pendo [not-audio_url] [/not-audio_url]

Duration: 48:25
Two failed startups. Zero product-market fit. Then an obsession that built a $200M ARR company. Todd Olson spent a year doing founder-led sales, refused to hire salespeople until $500K ARR, and would not scale until he s…
Building AI Products: The Positioning Shift to 7 Figures [not-audio_url] [/not-audio_url]

Duration: 44:55
He raised over $50M for TeamFlow, then fired two-thirds of his team when COVID ended. Flo Crivello pivoted to building AI products with Lindy, an agent platform that lets anyone automate workflows without code. The first…