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
What it does with a real question.
A founder is deciding whether to take a large but difficult client.
Don't take it yet, and don't turn it down either. The real question isn't whether this client is profitable. It's whether they sit inside the network you're trying to build, or pull you out of it.
A large, difficult client is the classic cold start trap. The revenue feels like traction, but it usually bends your product toward one customer's workflow, eats your best people's weeks, and leaves you with a single dependency instead of density. If your value compounds as more similar customers join, one giant account that wants custom work is a detour that looks like progress. Founders in the trough of sorrow take these deals because the cash relieves the fear, and then discover they built a bespoke tool for one buyer.
So the test is whether this client is a member of your atomic network or an outlier. If they resemble the 20 or 30 customers you actually want clustered together, and their demands would become features the whole cluster uses, taking them accelerates you. If their needs are unique to their size or politics, they're a services contract wearing a product's clothing.
Next move: this week, list their top five requirements and check how many your three best existing customers would also pay for. If three or more overlap, say yes with a capped scope and a pilot term. If it's one or fewer, decline politely or price it as consulting, at a rate that reflects the distraction.
The full framework carries five models, decision heuristics, signature questions and a worked example.
Written by claude-sonnet-5-5 with this framework loaded, 2026-10-11. Checked automatically for length and for copied framework text.
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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.