In this AI moment in Silicon Valley today, the revenue ramp of some of these companies is truly extraordinary. Like, their company is going from 0 to $100 million of revenue in record times. And of course, there are also a lot of companies that are scaling revenue and then losing revenue or churning customers.
“Because I think and and I know in the case of LinkedIn, it was a bit of a slower you know, the early years read, right, were slower growth.”
you know, companies that have grown, extraordinarily quickly in their early days, what kinda comes up for you when you think about the the necessary ingredients to build an enduring business, over time? Right? Because I think and and I know in the case of LinkedIn, it was a bit of a slower you know, the early years read, right, were slower growth. Eric, I'm not sure in the the exact history of Zoom in terms of how quickly were you scaling revenue in the early years. But I imagine the, you know, slower start read does cause you to sort of embrace the idea of patience and build for the long term and develop a set of principles
Why this clip
Captures the current AI boom with specific numbers ($100M revenue) and highlights the hidden risks. The timeliness of AI context and the specific revenue figure make this immediately relevant and shareable.
What they said next
Just because you had rapid initial success doesn't necessarily mean you have a long term strategy or a long term moat. What explains the rapid initial success and how durable is that?
4:06 - 38s · Practical Framework
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