Finding Product-Market Fit: 10 Customers with No Product

Dover got its first 10 customers without a product, website, or even a company name. For nine months, the three co-founders manually reviewed resumes and conducted interviews for their customers while finding product-market fit the hard way. Then COVID hit. Instead of panicking, the founders made a counterintuitive decision: they stopped selling entirely and focused all their energy on building a better product. When hiring resumed months later, word of mouth exploded - and Dover grew 5x to $5M ARR in seven months. This is a story about finding product-market fit through manual service first and code second. George Carollo acquired 10 paying customers by manually solving their recruiting problem. That product validation through hands-on work revealed the exact problems worth automating, and achieving PMF meant pausing sales to rebuild during COVID rather than fighting for new business. Key Lessons 🎯 Finding product-market fit starts with manual service, not code: Dover's founders manually reviewed resumes, sourced candidates, and conducted interviews for nine months before writing meaningful code - revealing the exact problems worth automating. 📉 Cold outreach fails in noisy markets even at 1,000 emails: Dover sent roughly 1,000 cold emails to recruiting prospects and got virtually zero results. In markets where buyers get dozens of vendor pitches daily, word of mouth outperforms outbound. 🔄 Pause sales to strengthen your path to finding product-market fit: When COVID froze hiring, Dover stopped selling, paused customer billing, and spent three months rebuilding the product. The stronger product drove word of mouth that produced 5x growth. 🛠️ Use no-code tools like Airtable as your early database: Dover used Airtable with API reads and writes far longer than most engineers would tolerate, staying flexible while iterating on product direction. 🤝 Ask for specific referrals, not generic introductions: After a successful hire, Dover would browse the customer's LinkedIn connections, filter by relevant titles, and suggest 3-4 specific people to connect with - driving 10-15% of user growth. Chapters Introduction What motivates George - leaving the world better What Dover does - recruiting automation How the three co-founders came together Coming up with the recruiting idea George's prior recruiting industry experience Why recruiting is a universal pain point Getting started with no product or website Charging from day one for manual services Building the first automated features Automating resume review as the first product feature Finding product-market fit beyond friends of friends Why content marketing with outsourced writers failed COVID hits and the decision to stop selling Why there's no pricing page on Dover's website Getting stuck at 20 customers pre-COVID Pausing billing during COVID to keep relationships Deciding what product improvements to focus on Building the Dover interviewer product Word of mouth driving 80% of new customers The referral strategy using LinkedIn connections Growing 5x to $5M ARR in seven months Using Typeform, Webflow, and Airtable to stay scrappy The "lost phase" of early startup building Lightning round Where to find George and Dover Resources Full show notes: https://saasclub.io/287 Join 5,000+ SaaS founders: https://saasclub.io/email