First SaaS Customers From a Wizard-of-Oz MVP to $2.5M

First SaaS Customers From a Wizard-of-Oz MVP to $2.5M

Author: Omer Khan May 29, 2025 Duration: 52:27
"This is not a product," one of his first SaaS customers told him. They were right. Cello had no dashboard, no login portal, and no analytics - just shared Notion pages and Python scripts. But those first paying users still paid because the referral program actually worked. Stefan Bader reveals how he landed his first SaaS customers by turning pre-seed investors into design partners, why success-based pricing removed all early adopter friction, and how a "powered by Cello" casual contact loop now drives nearly 1 million widget opens per month for compounding initial traction. Cello is an all-in-one referral platform powering programs for companies like Miro and Typeform. Stefan bootstrapped from a Wizard-of-Oz MVP to $2.5M ARR and 7 million monthly users. 🔑 Key Lessons 🤝 Turn investors into first SaaS customers: Stefan offered pre-seed round tickets to potential buyers, creating shared financial incentives that converted investors into committed design partners willing to tolerate an unfinished MVP. 🛠️ Ship the Wizard-of-Oz MVP and iterate on what matters: Cello delivered analytics via Notion pages and ran Python scripts behind the scenes. First paying users said "this is not a product" but stayed because results were real. 💰 Use success-based pricing to remove all friction: Cello charges nothing until referrals generate revenue. This eliminated risk for early adopters and created natural alignment. 🚀 Build a casual contact loop for compounding growth: The "powered by Cello" link reaches nearly 1 million opens per month. Each new customer adds users to the loop, making inbound grow exponentially. 📝 Lead with proprietary data to land top content partners: Stefan partnered with Kyle Poyar by providing unique referral benchmarks, getting Cello in front of tens of thousands of subscribers without paid sponsorship. Chapters Introduction What Cello does and the problem it solves Revenue, team size, and 7 million monthly users Origin story as CRO at a payment company Building the MVP with compliance and scalability first The Wizard-of-Oz MVP with Notion and Python scripts Freemium success-based pricing for first SaaS customers Building a compounding growth system with growth loops The casual contact loop and "powered by Cello" Content collaborations with Kyle Poyar Network sales and leveraging investors as first SaaS customers Lightning round and book recommendations Resources Full show notes: https://saasclub.io/445 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
Enterprise Sales: From Poverty to 700K Workers [not-audio_url] [/not-audio_url]

Duration: 1:05:13
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Duration: 1:00:49
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Duration: 1:09:55
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Duration: 1:07:49
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Bootstrap to Profitability: $1K to $26M ARR [not-audio_url] [/not-audio_url]

Duration: 1:07:01
Guillaume Moubeche launched lemlist with $1,000 and a bootstrap to profitability mindset. Today, lempire generates $26 million in ARR with just 90 people and $10 million in EBITDA. But the path from surviving on pasta to…
SaaS Product Validation: 3 Startups, 2 Exits [not-audio_url] [/not-audio_url]

Duration: 1:07:29
Jake Stein spent six months pitching enterprise customers and got zero conversions. They loved the vision of standardized contracts but wouldn't be the first to adopt. His SaaS product validation journey across three sta…
Self-Funded SaaS: Side Project to $5M+ ARR [not-audio_url] [/not-audio_url]

Duration: 54:32
Dean Mathews ran his self-funded SaaS as a side project for over a decade - spending just 20 hours a week while consulting full-time. By the time he went all in, OnTheClock had already crossed $1M in annual recurring rev…
SaaS Product-Market Fit: A Year of Wrong Words [not-audio_url] [/not-audio_url]

Duration: 51:33
Michael Zuercher spent a year struggling to explain how Prismatic differed from Mulesoft and Zapier. Every sales call ended with "I don't understand how you're different." Then SaaS product-market fit finally clicked aro…
SaaS Retention: 8-Figures on Just 2 Channels [not-audio_url] [/not-audio_url]

Duration: 46:36
Kaveh Rostampor bootstrapped a SaaS retention platform for six years, grew it to eight figures in ARR, then raised $50 million - and still hasn't spent it. Learn how Planhat used just two growth channels to reach 8-figur…
Building AI Products: Cold Calls to High 7 Figures [not-audio_url] [/not-audio_url]

Duration: 46:28
Zach Rattner forced himself through the door of a moving company for the 18th time, phone in hand, looking for an excuse not to walk in. Building AI products as an introverted engineer meant every cold call felt like tor…