---
name: competitive-landscape-analyzer-c4cb98b45502
description: Automated competitive mapping with funding history, product positioning, market share
allowed-tools:
  - Read
  - Write
  - Glob
  - Grep
  - Bash
  - WebFetch
metadata:
  specialization: venture-capital
  domain: business
  skill-id: vc-skill-008
graph:
  domains: [domain:venture-capital]
  skillAreas: [skill-area:investment-analysis, skill-area:valuation-analysis, skill-area:financial-modeling]
  roles: [role:financial-analyst]
---

# Competitive Landscape Analyzer

## Overview

The Competitive Landscape Analyzer skill provides comprehensive mapping and analysis of competitive dynamics within a market. It tracks competitor funding, product positioning, market share, and strategic movements to inform investment decisions.

## Capabilities

### Competitor Identification
- Identify direct and indirect competitors
- Map emerging and potential future competitors
- Track new market entrants and pivots
- Monitor acqui-hire and consolidation activity

### Funding History Analysis
- Track competitor funding rounds and valuations
- Analyze investor syndicate composition
- Identify funding gaps and runway situations
- Monitor secondary and insider transactions

### Product Positioning Mapping
- Feature-by-feature competitive comparison
- Pricing and packaging analysis
- Target customer segment mapping
- Technology and platform differentiation

### Market Share Analysis
- Estimate market share distribution
- Track share changes over time
- Identify market concentration trends
- Analyze customer win/loss patterns

## Usage

### Map Competitive Landscape
```
Input: Target company or market definition
Process: Identify competitors, gather data, analyze positioning
Output: Competitive landscape map, positioning matrix
```

### Analyze Specific Competitor
```
Input: Competitor company
Process: Deep dive on funding, product, strategy
Output: Competitor profile, threat assessment
```

### Track Competitive Dynamics
```
Input: Market, monitoring parameters
Process: Ongoing monitoring, change detection
Output: Competitive intelligence alerts, trend reports
```

### Assess Competitive Position
```
Input: Target company, competitive context
Process: Position against competitors, identify advantages
Output: Competitive position assessment, moat analysis
```

## Analysis Frameworks

| Framework | Use Case | Output |
|-----------|----------|--------|
| Porter's Five Forces | Industry analysis | Competitive intensity assessment |
| Positioning Map | Product comparison | 2x2 positioning visualization |
| Moat Analysis | Defensibility | Competitive advantage scoring |
| War Gaming | Strategic planning | Competitive response scenarios |

## Integration Points

- **Commercial Due Diligence**: Feed competitive analysis into DD
- **Market Sizer**: Understand market share distribution
- **Deal Scoring Engine**: Competitive position in scoring
- **IC Memo Generator**: Include competitive analysis

## Data Sources

- PitchBook and Crunchbase for funding data
- G2, Capterra for product reviews and comparisons
- LinkedIn for team and hiring signals
- Web traffic data (SimilarWeb, etc.)
- Patent filings and IP databases
- Customer interviews and win/loss data

## Best Practices

1. Define competitive scope clearly (direct, indirect, substitutes)
2. Update competitive maps regularly as markets evolve
3. Distinguish between current and future competitive threats
4. Consider non-traditional competitors and disruption risks
5. Validate desk research with customer conversations


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Marketing, Sales
Roles: Business Development, Growth Marketer, Marketing Analyst, PR & Communications, Product Marketer
Specialties: Specialty not specified
Tools: Crunchbase, Pitchbook
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 1047cc586132d1df2a0b13f9cf125defaf347af74d2a7ae774371b0f121578ad