startup-ideation_skill

Overview

This skill helps you generate, test, and evaluate startup ideas using practical frameworks from experienced product leaders. It focuses on leveraging your unique experience, sensing what is newly possible, and avoiding common idea pitfalls. The goal is to surface differentiated, high-opportunity concepts and a quick sense of whether they merit further validation.

How this skill works

I start by probing your background, domain expertise, and firsthand problems you’ve encountered to find ideas rooted in unique experience. Then I audit your information diet and apply a "Why Now" test to identify timing-driven opportunities. I flag tarpit risks and crowded spaces, and propose concrete next steps for validation and prioritization.

When to use it

• You’re brainstorming startup concepts and want ideas tailored to your strengths.
• You have an initial idea and need a quick evaluation of viability and timing.
• You want to discover opportunities enabled by recent tech or behavior shifts.
• You’re worried your idea is a crowded tarpit and want an objective check.
• You need a focused plan for early validation and product-market fit testing.

Best practices

• Start from a personal, painful problem you’ve experienced or observed closely.
• Ask “Why now?”—identify tech, data, regulation, or behavior changes enabling the idea.
• Diversify your information diet to gain non-obvious perspectives and edge.
• Map competitors and failed attempts to surface tarpit signals early.
• Design cheap, fast experiments to test core assumptions before building.

Example use cases

• Turn a recurring pain from your job into a niche SaaS idea and a first experiment plan.
• Evaluate an AI-powered product concept to see whether recent model improvements make it viable.
• Assess multiple side-project ideas and rank them by uniqueness, timing, and scale potential.
• Diagnose whether an attractive market is actually a tarpit and suggest safer alternatives.
• Create a one-page concept with target customer, Why Now thesis, and three validation experiments.