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
| Capability | Description |
|---|---|
| Multi-dimensional Startup Idea Evaluation | Comprehensive assessment of market / competition / technology / business model |
| User Persona and Needs Validation | Target user persona construction and pain point analysis |
| MVP Roadmap Generation | Define core features and plan product iteration path |
Command List
| Command | Description |
|---|---|
python scripts/idea_validator.py validate --idea "<product description>" |
Validate startup idea |
python scripts/idea_validator.py compete --market "<category>" |
Competitor analysis |
python 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:
python3 scripts/idea_validator.py validate --idea "<product description>"
Competitor Analysis
When the user says "analyze [category] competitive landscape," execute:
python3 scripts/idea_validator.py compete --market "<category>"
Generate MVP Plan
When the user says "generate MVP feature plan," execute:
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