# Ecosystem Mapping

> Map the target ecosystem you are entering — firms, operators, advisors, founders, publications, conferences, and the relationships between them. Reference when starting a search in a new ecosystem (biotech VC, board candidates, specific therapeutic area), preparing for a firm-specific interview, or building a relationship plan. The map is the foundation that makes all other network activity efficient.

- Skill: `npbuilds/ecosystem-mapping` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add npbuilds/ecosystem-mapping`
- Raw SKILL.md: https://api.skillmd.com/api/skills/npbuilds/ecosystem-mapping/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: npbuilds (https://skillmd.com/u/npbuilds)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/npbuilds/ecosystem-mapping

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# Ecosystem Mapping — Making the Target Landscape Legible

Random networking is inefficient at best and counterproductive at worst — it produces conversations with people who can't help and absorbs the time you should be spending with people who can. The map flips the math: you know who the players are, you know how they relate to each other, you know which conversations move the trajectory. The map takes a weekend to build and pays back for years.

## Key Concepts

### What Goes in the Map

For a target ecosystem (e.g., biotech VC), the map includes:

| Entity Type | What to Capture |
|---|---|
| **Firms** | Name, stage focus, sector focus, recent deals, fund size, vintage, geography |
| **Partners** | Name, firm, deal areas, public writing, prior career |
| **Operators** | CMOs, Heads of Clin Dev, founders — your peer cohort and one-up |
| **Advisors** | Independent advisors, board observers, scientific advisors who span multiple companies |
| **Founders** | Especially in your domain — they're often the warmest path to their investors |
| **Publications** | Substacks, newsletters, podcasts that the ecosystem reads |
| **Conferences** | The 3–5 events where the ecosystem gathers |
| **Recruiters** | Specialized executive recruiters who place into your target archetypes |

### The Two-Axis Map

The strongest map is two-dimensional. For biotech VC:

- **X-axis: Sector/thesis** (oncology, neuroscience, immunology, platform/AI, etc.)
- **Y-axis: Stage/check-size** (seed, A, B, C, late-stage, crossover)

Each firm or partner occupies a position. This lets you see clusters — "here are the 6 firms that lead Series A oncology" — and gaps — "no one in my sector at this stage."

### Sources for Building the Map

| Source | What It Gives | Effort |
|---|---|---|
| **LinkedIn searches** ("biotech investor [city]") | Partner-level contacts | Low |
| **Crunchbase / PitchBook** | Deal-level data, fund metadata | Medium (or paid) |
| **Endpoints, STAT, BioPharma Dive** | Recent deals, partner moves | Low (subscribe and skim) |
| **Substack / newsletters** | Partner thinking, ecosystem narrative | Low |
| **The firms' websites** | Stated thesis, team, portfolio | Low |
| **Twitter/X lists** | Real-time ecosystem signal | Low |
| **Conference attendee lists** | Cross-section of active players | Medium |
| **Reference interviews** | Who's good vs who's loud | High (and high-value) |

### The Relationship Layer

The map is more than entities — it's relationships:

- **Which firms have co-invested** (suggests aligned thesis and shared partner relationships)
- **Which partners have moved between firms** (their network spans the firms)
- **Which founders have built multiple companies** (they're hubs of intro paths)
- **Which advisors sit on multiple boards** (they're cross-pollinators)

Capturing relationships matters because warm intros flow along these edges.

### The Activity Layer

Beyond entities and relationships, capture activity:

- **Recent deals (last 12 months)** — who's leading, who's following
- **Recent partner moves** — additions, departures, promotions
- **Recent fund raises** — who has fresh capital
- **Recent essays / podcasts** — what people are publicly thinking about
- **Conference talks** — who's saying what publicly

Activity tells you where the ecosystem is *now*, not where it was when you last looked.

### Tooling

The map doesn't need to be sophisticated:

- **Spreadsheet** — Lowest friction, fine for most maps
- **Notion / Airtable** — Better for relationship and activity columns
- **Graph visualization** — Overkill for most users, useful for very large maps
- **Personal CRM tools** (Clay, Folk, Dex) — Combine map + stewardship in one tool

The choice doesn't matter much. The discipline of populating and maintaining matters a lot.

### Common Failure Modes

| Failure | Looks Like | Fix |
|---|---|---|
| Too broad | "Map all biotech investors" | Narrow to a sector × stage cell |
| Stale | Built once, never updated | Add a monthly maintenance window |
| Static | Entities only, no relationships or activity | Add relationship and activity layers |
| Unused | Map built but doesn't drive outreach | Stewardship and outreach should reference the map |
| Vanity-mapped | Mapping famous partners you'll never realistically reach | Map the people you can reach — partners, principals, advisors, founders at your target stage |

## Self-Coaching Track

**For your situation (MD → biotech VC/operator):**

1. **Define the target cell precisely.** Not "biotech VC" but "early-stage biotech VC investing in clinical-stage assets, ideally with a clinical-development thesis." The narrower the target, the more useful the map.

2. **Build the firm map first.** Identify 30–50 firms in your target cell. For each: name, fund size, vintage, recent 3 deals, the partner most likely to lead in your area. A weekend of work.

3. **Layer in partners.** For the 30–50 firms, identify 1–3 partners each who lead in your area. For each: LinkedIn, public writing, prior career, recent deals.

4. **Layer in operators / founders / advisors.** People who are part of the ecosystem but not at a VC firm. Your peer cohort and one-up. These are often the warm-intro paths to the firms.

5. **Layer in activity.** For each firm and each partner, capture last 12 months of deals, moves, and public writing. This is where the map starts paying back.

6. **Capture relationships.** Note co-investment patterns, partner-moves, multi-board advisors. Build the edges.

7. **Set monthly maintenance.** Block 1 hour per month to refresh recent activity. Without maintenance, the map decays in 3–6 months.

8. **Drive outreach from the map.** Every cold outreach, every warm-intro request, every research session for an interview — sourced from the map. The map is the substrate.

## Teach / Mentor-Others Track

**When coaching a junior or peer through ecosystem mapping:**

1. **Force the narrow target cell.** Mentees default to mapping too broadly. Coach: a narrow cell is a usable map; a broad one is a research project.

2. **The activity layer is what makes the map alive.** Many mentees build static maps (entities + maybe relationships) and stop. Coach the addition of activity — it transforms the map from reference to working tool.

3. **Maintenance discipline is half the value.** Mentees often skip maintenance. Walk them through scheduling a monthly maintenance window from week 1.

4. **Tool choice doesn't matter; the practice does.** Mentees often agonize over tooling. Coach: lowest-friction tool, start populating today.

5. **Mapping is not a substitute for outreach.** Some mentees use the map as procrastination from outreach. Coach: 80% of value comes from outreach driven by the map; build a map sufficient for outreach, then start outreach.

6. **The relationship and activity layers are where the map outperforms.** Without these, a map is no better than a list. The layered map is what makes warm-intro paths visible and outreach timing right.

## When This Applies

- Starting a search in a new ecosystem
- Preparing for firm-specific interviews
- Building a relationship plan ahead of a transition
- Auditing why current outreach is converting poorly
- Quarterly map refresh

## Cross-Domain Connections

- **research/spelunker, source-triangulator** — Map building is a research task; spelunker is the natural research substrate
- **network-cultivation/cold-outreach, relationship-stewardship, introductions-and-referrals** — Map drives all of these
- **personal-positioning/cover-letter-craft** — Firm-specific cover letters draw from the map's firm layer
- **interview-mastery/vc-interview-prep** — Pre-interview firm research is the map's most-leveraged use
- **biotech-venture/asclepius** — Sector-thesis content for the ecosystem axis
- **product/the-loom** — Map maintenance overlaps with decision journaling