The Andrew Chen
Framework
Network Effects & The Cold Start Problem
Andrew Chen moved markets by understanding the specific psychology of attention and offer. Andrew Chen's commercial thinking — captured in this framework as mental models, decision heuristics, and the signature questions they would ask. The network effects & the cold start problem framework distils Andrew Chen's documented approach into a .md skill file you can load into Claude, ChatGPT, or any LLM in seconds. Where most AI personas generate generic output, this framework is grounded in real documented work: interviews, writing, published frameworks, and the specific decisions Andrew Chen made when it mattered. Use it for decision-making, writing, strategy, or any situation where you want your AI to think with Andrew Chen's distinctive patterns rather than a default model voice.
A glimpse of Andrew Chen's thinking.
Network effects are the only sustainable moat in tech, but they create a brutal chicken-and-egg problem at launch. The companies that win solve cold start by artificially creating density in small, connected networks before expanding. Most products die in the "trough of sorrow" between launch excitement and network effect ignition.
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Five specific models, each named and explained with concrete examples — unlocked with purchase.
What's the smallest network where this product becomes obviously valuable?
4 more questions in Andrew Chen's voice are unlocked with purchase.
Full list of anti-patterns unlocked with purchase.
The full framework adds: detailed explanations of all five mental models with real-world examples, the decision heuristics Andrew Chen actually used, remaining signature questions, the complete list of anti-patterns, a copy-paste activation prompt, and a worked example.
Unlocked the moment you purchase. ~2,000 words total. Delivered as a Claude Skill and plain .md within 60 seconds of checkout.
- ✦Core philosophy — 2–3 sentences grounded in Andrew Chen's documented worldview
- ✦Five signature mental models — each named, with concrete examples from their work
- ✦Decision heuristics — the concrete rules they actually used
- ✦Signature questions — five questions that sound like Andrew Chen, not a generic MBA
- ✦What they would NOT do — the anti-patterns this framework rejects
- ✦Copy-paste activation prompt — drop straight into Claude or ChatGPT
- ✦Worked example — the framework applied to a realistic scenario
- →andrew-chen.zip — a native Claude Skill. Upload to Settings → Skills in Claude, or unzip to
~/.claude/skills/ - →andrew-chen-framework.md — plain markdown. Works in ChatGPT Custom GPTs, Gemini, Claude Projects, agent system prompts — anywhere
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Works as a Claude Skill (.zip) and as a plain .md for ChatGPT, Gemini & every LLM
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Inspired by the documented thinking of Andrew Chen. A mental-model toolkit, not a literal representation. Delivered as a .md file compatible with Claude, ChatGPT, Gemini, and any LLM.