If users won't pay more, it may indicate that you need to enhance your product's value or address a more significant problem.

If we can create an algorithm that people can trust for fair allocation of rewards, we could improve many cap tables and grant funding processes in science.

We've started a program where we pay users for driving certain behaviors, like spending more time on the platform or sharing content.

We started with a freemium model, but realized it distracted us; we shifted to a paid model and consistently increased prices over time, which helped us focus on serious customers.

I learned the hard lesson that whoever pays you kind of owns you and determines how your product evolves, which led to a misalignment with my original mission of helping students find good jobs.

We initially tried a revenue-sharing model with one customer, but it didn't work as they wanted to attribute revenue increases to other factors.

If you pay $100 for a user who only brings in $19 over a few years, your startup could face bankruptcy due to unsustainable costs.

If users refuse to pay, it indicates that you haven't built enough value into your product or you're targeting the wrong customer segment.

Many users are comfortable paying for multiple AI services, and while this may be sustainable in the short term, there could be a future desire for consolidation.