---
name: investor-network-mapper-f771758b9130
description: Maps co-investor relationships, syndication history, and network connections
allowed-tools:
  - Read
  - Write
  - Glob
  - Grep
  - Bash
  - WebFetch
metadata:
  specialization: venture-capital
  domain: business
  skill-id: vc-skill-002
graph:
  domains: [domain:venture-capital]
  skillAreas: [skill-area:investment-analysis, skill-area:valuation-analysis, skill-area:financial-modeling]
  roles: [role:financial-analyst]
---

# Investor Network Mapper

## Overview

The Investor Network Mapper skill provides comprehensive mapping and analysis of co-investor relationships, syndication history, and professional network connections. It enables VCs to identify syndication opportunities, understand competitive dynamics, and leverage relationship networks for deal flow and portfolio support.

## Capabilities

### Co-Investor Relationship Mapping
- Track historical co-investment patterns across funds and deals
- Analyze syndication frequency and deal-type preferences
- Identify preferred co-investor relationships and avoid lists
- Map fund-to-fund relationship strength

### Syndication History Analysis
- Maintain comprehensive database of syndicated deals
- Analyze check size patterns and stage preferences by investor
- Track lead vs. follow behavior patterns
- Identify emerging investor relationships and trends

### Network Connection Mapping
- Map professional networks of partners and associates
- LinkedIn integration for contact and relationship data
- Board seat network visualization
- Founder relationship tracking and introductions

### Relationship Intelligence
- Score relationship strength based on interaction history
- Identify warm introduction paths to targets
- Track relationship currency (favors, introductions, references)
- Monitor investor activity and fund deployment

## Usage

### Map Co-Investor Network
```
Input: Fund name or investor, analysis parameters
Process: Aggregate co-investment data, analyze patterns
Output: Network graph, relationship metrics, co-investor rankings
```

### Find Syndicate Partners
```
Input: Deal characteristics (stage, sector, geography, size)
Process: Match against investor preferences and history
Output: Ranked list of potential syndicate partners
```

### Identify Introduction Paths
```
Input: Target person or organization
Process: Search network graph for connection paths
Output: Recommended introduction paths, relationship strength
```

### Analyze Competitive Dynamics
```
Input: Competing fund or investor
Process: Map overlapping relationships and deal competition
Output: Competitive analysis, differentiation opportunities
```

## Integration Points

- **Deal Flow Tracker**: Source attribution and relationship ROI
- **Syndicate Manager (Agent)**: Provide network data for syndication
- **Proactive Deal Sourcing**: Identify warm introduction opportunities
- **Co-Investor Syndication Process**: Support partner selection

## Data Sources

- Proprietary deal database and CRM
- PitchBook, Crunchbase, CB Insights
- LinkedIn and professional networks
- SEC filings and public announcements
- Industry events and conferences

## Best Practices

1. Regularly update relationship data from deal activities
2. Track both successful and unsuccessful syndication attempts
3. Note relationship preferences and sensitivities
4. Maintain do-not-contact and competitor exclusion lists
5. Leverage relationship currency thoughtfully


---
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 Dave AI.

## 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.



# Dave AI 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: Data & Analytics, Marketing, Sales
Roles: Business Development, Data Analyst, Growth Marketer, Marketing Analyst, Product Marketer
Specialties: Specialty not specified
Tools: Cb Insights, Crunchbase, Linkedin, Pitchbook
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: c97299d3739883e5e464895f2b1c041aa083e65bb03b038768d5a1c5e9a247fa