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About

BC

Brian Chesky

12/01/15

@ Greylock

Moving from intuition to data-informed decision-making was essential as we scaled, shifting from personal interactions to data analysis.

Video

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Blitzscaling 18: Brian Chesky on Launching Airbnb and the Challenges of Scale

@ Greylock

Blitzscaling 18: Brian Chesky on Launching Airbnb and the Challenges of Scale

12/01/15

Related Takeaways

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Michael Truell

06/11/25

@ Y Combinator

We realized that scaling laws in AI showed predictable improvements with increased data and compute, which encouraged us to focus on building a product for knowledge work as AI matured.

SK

Sachin Kansal

06/01/25

@ Lenny's Podcast

When making decisions, sometimes you have to trust your gut over the data, especially when you understand the end user's needs.

GA

Gustaf Alstromer

09/12/18

@ Y Combinator

Experimentation is vital for making informed decisions. Without data-driven experimentation, decisions may be based on luck or guesswork, leading to poor outcomes.

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Tom Blomfield

12/16/23

@ Y Combinator

Engaging directly with users and leveraging product intuition is vital for making informed decisions in a startup environment.

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Satya Nadella

04/17/25

@ Microsoft India

To remain relevant, we must balance empathy, collaboration, and intuition with the use of AI, ensuring that we handle the more nuanced aspects of decision-making ourselves.

SA

Sam Altman

05/12/25

@ Sequoia Capital

We realized that to scale our models, we needed to transition from pure research to a business model that could sustain the investment required for large AI models.

GA

Gustaf Alströmer

08/16/19

@ Y Combinator

Build a culture of experimentation where data drives decisions instead of the loudest voice in the room.

YC

Y Combinator Cast

06/18/25

@ Y Combinator

The success of our operational data business created the momentum to explore building applications, which was a significant evolution for Scale AI.

GA

Gustaf Alstromer

09/12/18

@ Y Combinator

Experimentation can be challenging, especially in complex products, but investing in the right infrastructure is necessary to make data-driven decisions and avoid costly mistakes.