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- Startup Validator
startup-validator_skill
- Python
284
GitHub Stars
3
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
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Installation
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npx veilstrat add skill ailabs-393/ai-labs-claude-skills --skill startup-validator- index.js258 B
- package.json224 B
- SKILL.md10.8 KB
Overview
This skill is a comprehensive startup idea validation and market analysis tool that produces data-driven recommendations and a structured validation report. It combines systematic web research, competitive analysis, TAM/SAM/SOM estimates, and positioning guidance to judge viability and next steps. The goal is to give founders clear go/no-go advice and concrete validation experiments.
How this skill works
I clarify the idea and target customer, then build a focused research plan with keywords and queries. Next I perform systematic web research across market size, competition, problem validation, trends, and business model items (minimum 10–15 searches), fetch authoritative sources, and extract quantitative data. I synthesize findings with standard frameworks (TAM/SAM/SOM, Porter's forces, problem-solution fit) and produce a concise validation report with risks, opportunities, and a recommended go-to-market and testing roadmap.
When to use it
- You want a verdict on whether a startup idea is viable before building an MVP.
- You need a quantified market opportunity (TAM/SAM/SOM) and growth thesis.
- You want to understand direct and indirect competitors and where gaps exist.
- You need to validate that a real customer problem exists and people will pay.
- You want a positioning and go-to-market recommendation for an early product.
Best practices
- Provide a short, focused idea description: problem, target customer, geography, and proposed solution.
- Expect at least 10–15 targeted web searches; prioritize authoritative sources (McKinsey, Gartner, Statista, Crunchbase).
- Supply available quantitative inputs (pricing, CAC, LTV) to enable unit-economics analysis.
- Be explicit about the beachhead market to get practical TAM/SAM/SOM estimates.
- Use the report’s validation next steps to run customer interviews and rapid experiments.
Example use cases
- Validate whether a B2B SaaS idea for HR analytics has enough paying customers and acceptable CAC:LTV.
- Assess a consumer subscription product’s market size, growth trends, and competitor positioning.
- Research demand and positioning for a vertical marketplace in a specific country or region.
- Identify unmet needs and differentiation for a fintech product competing with incumbents.
- Prepare a concise validation report before pitching to advisors or early investors.
FAQ
A focused validation run takes a few hours of research and synthesis; deeper quantitative work with custom calculations may take longer.
What sources are used for market numbers?
I prioritize reputable analyst reports and industry databases (Gartner, McKinsey, Statista, Crunchbase) and cross-validate across multiple sources.
Can you run unit-economics calculations?
Yes — provide CAC, LTV, and revenue inputs or let me estimate them; I can run LTV:CAC, payback, and TAM/SAM/SOM calculations.