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. A Practical Guide to NFT Memberships for Creators

    Peter Yang
    Benefits and challenges of NFT memberships as a monetization channel, how creators are using them in practice, and more.
  3. 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.
  4. 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.
  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. 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?
  7. Did We Overeat on Software?

    Andrej Safundzic
    Lumos CEO Andrej Safundizc explains why companies that use SaaS wisely have a competitive advantage over those that blindly consume it.
  8. In Online Ed, Content Is No Longer King—Cohorts Are

    Wes Kao
    Consumers pay for what’s scarce. And within the crowded, cheap, content-rich world of online education, what's scarce is community.
  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 Overlooked Levels of the Creator Economy

    Dan Runcie
    Are creator platforms enabling the 99 percent to chase their childhood dreams? Or are they helping the stars of the 0.1 percent expand their wealth?
  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.