vc-research

name	vc-research
description	Research VCs and angel investors — portfolio companies, investment thesis, check sizes, stage focus, and partner backgrounds. Returns a targeted investor list with fit assessment, warm-intro paths when discoverable, and the best partner to contact for each firm.
when_to_use	"find investors for {space}", "who funds {company}", "investor list for", "which VCs invest in {space}", "fundraising research", "find angels for", "map the funding landscape for".
license	MIT
compatibility	Requires the `composio` CLI on PATH. Connect with `composio link browser_tool` (interactive cloud browser) and `composio link composio_search` (web search and URL fetch).
allowed-tools	Bash Agent

VC Research

Research venture capital firms, investors, and funding landscapes. Extracts portfolio companies, thesis, check sizes, stage focus, and partner contact details.

Output directory: ~/Desktop/{slug}_vc_research_{YYYY-MM-DD}/

---

What It Extracts

VC Firm Profile

• Investment thesis and focus areas
• Stage focus (pre-seed, seed, Series A, etc.)
• Typical check size
• Geographic focus
• Portfolio companies (full list)
• Active partners + their focus areas
• Recent investments (signals current interest)
• Portfolio exits

Individual Investor Profile

• Current firm + role
• Past investments (personal portfolio)
• Thesis and content (tweets, blog posts)
• LinkedIn/Twitter presence
• Best contact method

---

Data Sources

Source	What to find	How
crunchbase.com	Funding rounds, portfolio	COMPOSIO_SEARCH_FETCH_URL_CONTENT; fall back to browser
pitchbook.com	Detailed fund data	BROWSER_TOOL_CREATE_TASK (JS-rendered, gated)
{firm}.com	Thesis, team, portfolio	fetch first, browser if JS-heavy
signal.nfx.com	NFX portfolio signals	BROWSER_TOOL_CREATE_TASK
Twitter/X	Partner activity + thesis	BROWSER_TOOL_CREATE_TASK
LinkedIn	Partner backgrounds	use linkedin-researcher

---

Pipeline

Step 1: Discover relevant VCs

for Q in \
  "venture capital {SPACE} seed {LOCATION}" \
  "who invests in {SPACE} startups" \
  "{COMPETITOR} investors funding"; do
  composio execute COMPOSIO_SEARCH_WEB -d "$(jq -n --arg q "$Q" '{ query: $q }')"
done

Step 2: Research each firm

# Try fetch for the firm website + portfolio page
composio execute COMPOSIO_SEARCH_FETCH_URL_CONTENT -d '{
  "urls": ["{VC_WEBSITE}", "{VC_WEBSITE}/portfolio"], "max_characters": 25000
}'

# If JS-rendered or blocked, switch to the browser
composio execute BROWSER_TOOL_CREATE_TASK -d '{
  "task":     "Extract every portfolio company with: name, stage if shown, year of investment, and one-line description. Return a JSON array.",
  "startUrl": "{VC_WEBSITE}/portfolio"
}'

Step 3: Find partner contacts

composio execute COMPOSIO_SEARCH_WEB -d '{ "query": "{FIRM_NAME} partner email contact" }'

composio execute BROWSER_TOOL_CREATE_TASK -d '{
  "task":     "For each partner: capture name, role, focus areas, Twitter handle, and any visible email or contact CTA.",
  "startUrl": "{VC_WEBSITE}/team"
}'

Step 4: Recent activity

for Q in \
  "{FIRM_NAME} investment 2025 2026" \
  "{PARTNER_NAME} investment thesis blog"; do
  composio execute COMPOSIO_SEARCH_WEB -d "$(jq -n --arg q "$Q" '{ query: $q }')"
done

---

Output Format

---
firm_name: {Name}
website: {URL}
crunchbase: {URL}
stage_focus: pre-seed, seed
check_size: $250K - $2M
thesis: {1-2 sentence description}
geo_focus: US, Europe
researched_at: {ISO date}
---

## Thesis
{What they invest in, why, who for}

## Portfolio (Recent)
| Company | Stage | Year | Space |
|---------|-------|------|-------|
| {name} | Seed | 2025 | {space} |

## Partners
| Name | Focus | Contact |
|------|-------|---------|
| {name} | {focus} | {email/twitter} |

## Recent Investments (Signal)
- {Company} — {date} — {why relevant}

## Fit Assessment
**Why relevant**: {connection to your startup}
**Best partner to contact**: {name + reason}
**Warm intro path**: {mutual connection if known}

---

Key Use Cases

1. Fundraising prep — build a targeted investor list before raising
2. Competitive intelligence — understand who funds your competitors
3. Landscape mapping — who are the key investors in a space
4. Warm intro finding — identify mutual connections for introductions
5. Thesis alignment — filter VCs whose thesis matches your startup