1. Choosing Your North Star Metric

    Lenny Rachitsky and a16zftr
    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. 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.
  4. All about Network Effects

    Anu Hariharan and a16zftr
    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. NFTs and a Thousand True Fans

    Chris Dixon and a16zftr
    Non-fungible tokens (NFTs) offer fundamentally better economics for creators by removing rent-seeking, enabling granular pricing, and reducing customer acquisition costs.
  6. Why Web3 Matters

    Chris Dixon
    Web3 is the internet owned by builders and users, orchestrated with tokens
  7. Data50: The World’s Top 50 Data Startups

    Jennifer Li, Sarah Wang, Jamie Sullivan, and a16zftr
    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.
  8. The Power of Product Thinking

    Julie Zhuo and a16zftr
    Developing product thinking is not just for designers and PMs. Anyone in the business of building products or understanding trends can use this framework.
  9. What the Merge Means for Ethereum

    Danny Ryan, Jeff Benson, and a16zftr
    The Ethereum Foundation's Danny Ryan discusses how the Merge will increase security and explains how proof of stake impacts developers.
  10. Why Developers Are Building So Many Side Projects

    Ben Stokes and a16zftr
    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.
  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.