Idea Validator#

Overview#

Helps indie developers validate the uniqueness and market potential of product ideas through a multi-dimensional evaluation framework.

Use Cases#

Use when users mention "idea validation," "competitor analysis," "validate startup idea," "analyze market space," "startup idea evaluation," or "idea validation."

Core Capabilities#

CapabilityDescriptionMulti-dimensional Startup Idea EvaluationComprehensive assessment of market / competition / technology / business modelUser Persona and Needs ValidationTarget user persona construction and pain point analysisMVP Roadmap GenerationDefine core features and plan product iteration path

Command List#

CommandDescriptionpython scripts/idea_validator.py validate --idea "<product description>"Validate startup ideapython scripts/idea_validator.py compete --market "<category>"Competitor analysispython scripts/idea_validator.py mvp --idea "<product description>"Generate MVP plan

Usage Workflow#

Validate Startup Idea#

When the user says "validate [product name] startup idea," execute:

bash

python3 scripts/idea_validator.py validate --idea "<product description>"

Competitor Analysis#

When the user says "analyze [category] competitive landscape," execute:

bash

python3 scripts/idea_validator.py compete --market "<category>"

Generate MVP Plan#

When the user says "generate MVP feature plan," execute:

bash

python3 scripts/idea_validator.py mvp --idea "<product description>"

Output Format#

All commands output a unified Markdown format report containing:

• Key Findings — 3-5 key insights
• Data Overview — Key metrics table (with ratings)
• Detailed Analysis — Multi-dimensional in-depth analysis
• Actionable Recommendations — List of suggestions categorized by priority

References#

See references/references.md for details, including links to Y Combinator startup methodology, community discussions, and Chinese resources.

Notes#

• Do not fabricate data; mark missing data fields as "Data Unavailable"
• All analysis is based on publicly available information; AI is for reference only
• It is recommended to combine with human judgment
• Install dependencies before first use: pip install requests