Crypto Networks & Economies

Decentralized Finance: What It Is, Why It Matters

Marvin Ammori

DeFi’s two foundational qualities — permissionless-ness and transparency — translate to multiple, powerful use cases. 

Individual Before Community: Why Creator Tokens Will Precede Community Tokens

Alex Masmej

What purists miss in their devotion to the collective is that all communities start with an individual. I believe creator tokens will be first to go mainstream.

“Fantasy Hollywood” — Crypto and Community-Owned Characters

Cuy Sheffield

Decentralized autonomous organizations (DAOs) and non-fungible tokens (NFTs) enable a new model for bringing new characters into the world.

Designing Internet-Native Economies: A Guide to Crypto Tokens

Patrick Rivera

Crypto protocols, social apps, online communities, and marketplaces will need to deeply understand the interplay between fungible and non-fungible tokens.

Composability is Innovation

Linda Xie

It allows anyone in a crypto network to take existing programs and adapt or build on top of them, unlocking completely new use cases. 

How the Coming Privacy Layer Will Fix the Broken Web

Howard Wu

Crypto, the blockchain, and zero-knowledge proofs are enabling a class of web services that are more incentive-aligned with users.

The Creator Economy — NFTs and Beyond

Kevin Chou, Jesse Walden, and Chris Dixon

Chris Dixon of a16z, Kevin Chou of Rally, and Jesse Walden of Variant Fund discuss how old models are being transformed by tokens of all kinds.

All about NFTs

Jesse Walden, Linda Xie, and Sonal Chokshi

This special deep-dive episode from the a16z Podcast network cuts through the noise for what’s hype/ what’s real and answers top-of-mind questions.

AI, WebRTC, Crypto, and Full Stack Startups

Elad Gil, Sep Kamvar, and Chris Dixon

A conversation about four big tech trends: tracing the path of forces driving innovation, where they stand today, and how they are converging.

Companies, Networks, Crowds

Erik Brynjolfsson, Andrew McAfee, Frank Chen, and Sonal Chokshi

How do companies make tradeoffs in designing products between humans and machines? How do we plan for the future without falling for the "fatal conceit"?