1. Choosing Your North Star Metric

    Lenny Rachitsky
    How to decide the guiding metrics for every type of business, based on a survey of employees at over 40 of today's most successful growth-stage companies.
  2. All about Network Effects

    Anu Hariharan
    What is a network effect? How do we untangle the nuances of ‘network effects’ with ‘marketplaces’ and ‘platforms’? What’s the difference between network effects, virality, supply-side economies of scale?
  3. Why Developers Are Building So Many Side Projects

    Ben Stokes
    From unleashing creativity to mitigating risk, Ben Stokes of Tiny Projects shares some of the main reasons why developers are building so many side projects.
  4. The Power of Product Thinking

    Julie Zhuo
    Developing product thinking is not just for designers and PMs. Anyone in the business of building products or understanding trends can use this framework.
  5. A Startup's Guide to Launching College Ambassador Programs

    Jacob Westphal
    This 101 guide on college ambassador programs for consumer startup covers the what, why, and when, how to get started, incentive structures, metrics, and more.
  6. What We Learned Doing Fast Grants

    Patrick Collison, Tyler Cowen, and Patrick Hsu
    We launched an abnormally fast source of emergency science funding during COVID-19. The results revealed the strength and weakness in current funding models.
  7. How to Build a GPT-3 for Science

    Josh Nicholson
    A GPT-3-like AI model for science would accelerate innovation and improve reproducibility. Creating it will require us to unlock scientific publications.
  8. What the Merge Means for Ethereum

    Danny Ryan and Jeff Benson
    The Ethereum Foundation's Danny Ryan discusses how the Merge will increase security and explains how proof of stake impacts developers.
  9. Building for the 99% Developers

    Jean Yang
    Effectively building and buying software means understanding that most developers work with legacy code, slow processes, and a mishmash of frameworks.
  10. The Future of Search Is Boutique

    Sari Azout
    The way to improve search is not to mimic Google, but instead to build boutique search engines that index, curate, and organize things in new ways.
  11. Why Applying Machine Learning to Biology is Hard – But Worth It

    Jimmy Lin and Nicole Neuman
    Computational genomics pioneer Jimmy Lin explains what many machine learning-focused biotech companies and get wrong about hiring, data, and communication.