paul-graham-perspective

Analyze startup problems using Paul Graham founder-first heuristics and PMF-driven frameworks.

30.1k|4.2k|Updated Apr 5, 2026

Search Tags:#decision-making #pmf #startup-analysis #writing-is-thinking #paul-graham-perspective #founder-first #iterative-learning

Ready to run

npx skills add https://github.com/alchaincyf/nuwa-skill --skill paul-graham-perspective-alchaincyf

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: paul-graham-perspective
Source: https://github.com/alchaincyf/nuwa-skill/tree/main/examples/paul-graham-perspective
Command: npx skills add https://github.com/alchaincyf/nuwa-skill --skill paul-graham-perspective-alchaincyf

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you reason like Paul Graham, translating startup and writing challenges into founder-first, PMF-focused insights that guide decisions and reduce cognitive load.

Core Features & Use Cases

Understand founder-first heuristics such as "Make something people want", "Do things that don't scale", and "Default alive" to evaluate ideas.
Use as a thinking partner for startup strategy, product decisions, and writing, translating complex problems into actionable frameworks.
Apply PG-inspired analysis to real-world cases, refining problems, selecting pivots, and communicating insights clearly.

Quick Start

Ask for a Paul Graham–style analysis of a startup problem, emphasizing founder-first thinking, PMF, and iterative learning.

Frequently Asked Questions about paul-graham-perspective

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I evaluate my startup idea using Paul Graham's founder-first heuristics?▼

Founder-first heuristics evaluate startup ideas by focusing on product-market fit and making something people want. You apply principles like doing things that don't scale and staying default alive to validate core problem-solution fit before scaling operations.

What is the best way to decide on a startup pivot using PMF-driven analysis?▼

PMF-driven analysis decides startup pivots by assessing whether current product direction satisfies user demand. It applies Paul Graham's iterative learning principles to refine the problem, ensuring new directions align with founder-first thinking and genuine market needs.

How does writing as thinking help refine startup strategy and product decisions?▼

Writing as thinking refines startup strategy by translating complex product decisions into actionable frameworks. This iterative process clarifies founder-first logic and reduces cognitive load, helping you evaluate ideas and communicate insights clearly.

Can I use Paul Graham's startup analysis for early-stage product decisions and feature selection?▼

Yes, Paul Graham's startup analysis applies to early-stage product decisions by using maker's schedule and default alive principles. It guides feature selection by prioritizing tasks that directly validate product-market fit over unscalable premature optimizations.

When should I apply 'Do Things That Don't Scale' to my startup operations?▼

Apply 'Do Things That Don't Scale' during early startup operations to manually recruit users and validate product-market fit. This founder-first approach prioritizes deep user understanding and iterative learning over automated processes before achieving clear demand.

What are the limitations of using founder-first thinking for complex startup strategy?▼

Founder-first thinking limitations arise when scaling established products requiring systematic operational execution rather than manual iteration. It primarily guides early-stage product-market fit challenges and may not address complex organizational scaling or enterprise strategy decisions.