The challenges I faced in the campaign inspired me to start Optimizely, aimed at simplifying the A/B testing process without needing developer involvement.

The first year of Optimizely saw us grow to a team of four and achieve an annual run rate of $1.1 million, focusing on continual product improvement.

Optimizely helps companies run A/B tests to determine which design changes lead to better customer conversion rates.

We had our first paying customer for Optimizely before writing any code, demonstrating the demand for our product.

During a call with a former colleague, I pitched Optimizely, and he immediately saw its value, suggesting a price of $1,000 a month, which was significantly more than we made with our previous ventures.

The vision for our product is to enable businesses to turn data into actionable insights, with A/B testing as a foundational step toward that goal.

During Y Combinator, we learned the importance of getting our product into the field for beta testing, which helped us iterate and improve.

The initial traction we received was surprising, leading us to iterate quickly based on user feedback and adapt our product accordingly.

We learned that running A/B tests is essential because it helps us understand what features actually improve user engagement.