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Finding Product-Market Fit: Lessons from David Rusenko’s Journey with Weebly

3 min readMar 20, 2025

Inspired by David Rusenko’s talk on YouTube, I recently discovered invaluable insights into the process of finding product-market fit that are applicable for entrepreneurs at any stage.

In the world of startups, the quest for product-market fit (PMF) is often heralded as one of the most challenging yet pivotal journeys. David Rusenko, the founder of Weebly, shared his own experience in a compelling talk detailing the struggles and triumphs encountered on the path to PMF. Here are some key takeaways that can guide aspiring entrepreneurs on their own journeys.

The Early Days: A Long Road to Launch

Rusenko’s journey began over 12 years ago, writing the first line of code for Weebly. Initially, the company faced significant hurdles — months of hard work went by with minimal traction. For six months, Rusenko and his co-founders hustled, creating buzz and anticipation without a product launch. The lesson here is clear: patience and perseverance are essential. Many startups may find themselves in this phase, where the excitement of an idea must be tempered with the reality of execution.

The Importance of Customer Feedback

One of the most critical aspects of achieving PMF is actively listening to potential customers. Rusenko emphasizes the need to engage with users to understand their pain points rather than focusing solely on their proposed solutions. This approach requires a willingness to iterate rapidly based on feedback. By conducting customer interviews and testing prototypes, entrepreneurs can refine their offerings to better meet the needs of their target market.

The Power of Persistence

Rusenko’s story illustrates a fundamental truth about entrepreneurship: determination can be as important as the idea itself. Despite facing numerous setbacks — like declining user sign-ups and dwindling funds — his team secured a $650,000 funding round just before YC combinator demo day. This tenacity is vital; successful entrepreneurs often exhibit a mix of optimism and resilience that enables them to push through challenging periods.

Marketing and Creating Demand

A common misconception is that market research can predict success in uncharted territories. Rusenko argues that true innovation often requires creating a new market rather than simply analyzing existing ones. By identifying hidden needs, entrepreneurs can develop products that appeal to users who might not even realize they require such a solution. This is where marketing becomes crucial — it’s about educating the market and demonstrating the value of your product in meeting those latent needs.

Metrics that Matter

When it comes to measuring success, Rusenko suggests focusing on three key metrics: returning usage, Net Promoter Score (NPS), and paying customer renewal rates. These indicators provide a more accurate picture of whether your product resonates with users than mere sign-up numbers. A high returning usage rate signals that users find value in your offering, while a strong NPS indicates customer satisfaction and loyalty.

Scaling After Finding Fit

Once you’ve achieved product-market fit, the focus should shift toward scaling. However, Rusenko advises against premature expansion. It’s essential to keep your team small and agile until you have established a solid PMF. At that point, growth should be pursued aggressively but thoughtfully, ensuring that the foundation of the startup remains strong.

Conclusion: The Journey Continues

David Rusenko’s insights serve as a reminder that finding product-market fit is a nuanced and often lengthy process. It requires deep customer understanding, relentless iteration, and a willingness to adapt. For those embarking on their entrepreneurial journeys, embracing these lessons can lead to a more informed path toward success.

If you’re interested in more insights from David Rusenko, check out his full talk on YouTube here.

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Riz Pabani
Riz Pabani

Written by Riz Pabani

I write about mentoring, productivity, finance, crypto, AI, Python and Data Science. Please follow if you like

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