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