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. NFT Canon

    Sonal Chokshi, Chris Dixon, Denis Nazarov, Jesse Walden, and Linda Xie
    A curated list of readings and resources, from applications in art, music, gaming, and social to how to mint & collect NFTs
  3. NFTs and a Thousand True Fans

    Chris Dixon
    Non-fungible tokens (NFTs) offer fundamentally better economics for creators by removing rent-seeking, enabling granular pricing, and reducing customer acquisition costs.
  4. 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?
  5. Data50: The World’s Top 50 Data Startups

    Jennifer Li, Sarah Wang, and Jamie Sullivan
    The decade of data is here, as shown by bellwether startups across the most exciting categories, like AI/ML, ELT and orchestration, and data observability.
  6. 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.
  7. Why Web3 Matters

    Chris Dixon
    Web3 is the internet owned by builders and users, orchestrated with tokens
  8. 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.
  9. 7 Essential Ingredients of a Metaverse

    Liz Harkavy, Eddy Lazzarin, and Arianna Simpson
    A true metaverse can only happen with the open and decentralized foundation of web3 technologies.
  10. 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.
  11. 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.