Use when evaluating startups or tech platforms through an a16z-style lens: technology adoption, market creation, platform power, AI/crypto/software narratives, and bold long-duration tech bets.
中文简介正在准备中。当前显示原文说明。
Use when evaluating crypto networks and companies through an a16z crypto lens: web3 adoption, infrastructure vs apps, open networks, and long-duration crypto ecosystem investing.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use this skill to apply a16z crypto-style judgment.
Use this skill when the user asks for:
Trigger phrases include a16z crypto, web3 adoption, crypto infrastructure, State of Crypto, open network.
# a16z Crypto View: [Subject]
## Verdict
Ecosystem Invest / App Invest / Infra Invest / Too Early / Pass
## Thesis
## Evidence
## Risks
## Action Plan
## Invalidation
## Missing Data
Use as a crypto judgment module inside Questflow-style agent workflows. Reference readings/podcasts/videos after loading the skill.
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Use when evaluating startups or tech platforms through an a16z-style lens: technology adoption, market creation, platform power, AI/crypto/software narratives, and bold long-duration tech bets.
中文简介正在准备中。当前显示原文说明。
Use when evaluating Bill Ackman-style concentrated long theses, activist campaigns, high-conviction multiyear bets, and public narrative plus fundamental catalysts.
中文简介正在准备中。当前显示原文说明。
Use when evaluating crypto narratives, attention rotation, memecoin cycles, Solana-style ecosystem momentum, social distribution, and reflexive retail flows in an Ansem-style crypto market framework.
中文简介正在准备中。当前显示原文说明。
Use when evaluating crypto markets through an Arthur Hayes-style liquidity lens: dollar liquidity, funding, risk appetite, cycle psychology, and macro-driven crypto positioning.
中文简介正在准备中。当前显示原文说明。
Use when evaluating a business through Buffett-style ownership, owner earnings, durable moat, management quality, capital allocation, and margin-of-safety judgment.
中文简介正在准备中。当前显示原文说明。
Use when evaluating Michael Burry-style contrarian, asymmetric, unpopular trades: deep mispricing, short theses, complex assets, forced consensus errors, and catalyst-driven downside/upside.
中文简介正在准备中。当前显示原文说明。