Angel — Investor & Fund Finder Agent

Find the investors already interested in what you're building.

An AI-powered Python agent that discovers angel investors, micro funds, seed funds, family offices, and operator-investors who back companies in your category. Scans the web, extracts portfolio pages, monitors social signals across Reddit, Hacker News, and Twitter, and enriches every investor with verified Twitter and LinkedIn contacts.

Built for founders raising pre-seed or seed rounds who need to find the right investors — not just any investors.

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What It Does

$ python angel.py "AI SaaS artificial intelligence" --max-funds 10

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Discovering investors & funds for: AI SaaS artificial intelligence
============================================================

  Searching: top angel investors AI SaaS artificial intelligence startups
  Searching: seed funds micro VCs investing in AI SaaS artificial intelligence
  Searching: family offices venture capital AI SaaS artificial intelligence portfolio
  ...

  Scanning signals across Reddit, Hacker News, Twitter...
  Found 22 signal(s) from intelligence scan.

  Identified 18 relevant funds/investors.

    - Ben Lang (angel investor)
    - Stella Garber (angel investor)
    - Forum Ventures (seed fund)
    - Y Combinator (venture fund)
    - Andreessen Horowitz (a16z) (venture fund)
    - Lightspeed Venture Partners (venture fund)
    - NFX (venture fund)
    - Carib Ventures, LLC (family office)
    ...

  [1/10] Looking up investors at Forum Ventures...
    Found 14 investor(s):
      - Michael Cardamone (CEO & Managing Partner)
      - Jonah Midanik (General Partner)
      - James Murphy (Managing Partner)
      ...

  [2/10] Looking up investors at Andreessen Horowitz (a16z)...
    Found 10 investor(s):
      - Martin Casado (General Partner)
      - Anjney Midha (General Partner)
      - Marc Andreessen (Co-Founder and General Partner)
      ...

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PROGRESS REPORT
============================================================
  Funds/Orgs:      10 total, 8 scanned, 2 pending
  Investors:       91 total
  With Twitter:    37
  With LinkedIn:   71
  Has any contact: 77 (84%)
  Needs enriching: 14
============================================================

Real results from a single topic — 10 funds, 91 investors, 84% with verified contact info.

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Example Output

Funds & Investors Discovered

Fund	Type	Investors Found	With Contact
Lightspeed Venture Partners	venture fund	46	44
Forum Ventures	seed fund	14	12
NFX	venture fund	13	8
Andreessen Horowitz (a16z)	venture fund	10	8
ScOp Venture Capital	venture fund	4	1
Y Combinator	venture fund	2	2
Ben Lang	angel investor	1	1
Stella Garber	angel investor	1	1

Sample Investor Contacts

Name	Title	Fund	Twitter	LinkedIn
Marc Andreessen	Co-Founder, GP	a16z	—	yes
Ben Horowitz	Co-Founder, GP	a16z	yes	yes
Justine Moore	Partner	a16z	yes	yes
Pete Flint	General Partner	NFX	yes	yes
Morgan Beller	General Partner	NFX	yes	yes
Semil Shah	Venture Partner	Lightspeed	yes	yes
Michael Mignano	Partner	Lightspeed	yes	yes
Nnamdi Iregbulem	Partner	Lightspeed	yes	yes
Brad Flora	Group Partner	Y Combinator	yes	yes
Stella Garber	Angel / CEO, Hoop	—	yes	yes
Bocar Dia	Partner	Forum Ventures	yes	yes
Guru Chahal	Partner	Lightspeed	yes	yes

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Features

• Fund & Investor Discovery — Searches the web for angel investors, micro funds, seed funds, family offices, syndicates, and operator-investors who back companies in your category.
• Portfolio Analysis — Extracts team pages, portfolio pages, and thesis statements from fund websites to identify who's making bets in your space.
• Social Signal Scanning — Uses the AiAS Intelligence SDK to scan Reddit, Hacker News, and Twitter for real-time investor activity and mentions.
• Multi-Layer Enrichment — Three enrichment strategies stacked:
  1. Team page extraction — Pulls Twitter/LinkedIn links directly from fund websites
  2. Individual web search — Searches each investor by name + fund for social profiles
  3. Signal matching — Cross-references social signals with investor names
• Resumable Runs — Saves progress after every fund and every enrichment batch. Interrupt and resume at will.
• Enrich-Only Mode — Already have investors? Run --enrich-only to fill in missing contacts without rediscovering.
• Persistent CSVs — Each topic gets stable CSV files that grow over time. No duplicates, no overwrites.
• Progress Reports — See exactly how many funds are scanned, how many investors are found, and how many still need contacts.
• Retry with Backoff — API calls retry on transient errors with exponential backoff.
• Smart Deduplication — Investors deduped by normalized name + fund. Funds deduped by name + domain.

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Quick Start

git clone https://github.com/youruser/angel.git
cd angel
pip install -r requirements.txt
cp .env.example .env        # Add your AiAssist.net API key
python angel.py "your investment category here"

Requirements

• Python 3.10+
• requests and httpx libraries
• aiassist-secure-intelligence SDK (for social signal scanning)
• An AiAssist.net API key (enterprise plan) with access to:
  • /v1/chat/completions — AI analysis (GPT-5.4 via OpenAI provider)
  • /v1/search — Web search
  • /v1/web/extract — Web page extraction
  • Intelligence API — Reddit, Hacker News, Twitter signal scanning

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Usage

Full Scan

Discover funds, find investors, scan signals, enrich contacts — the full pipeline:

python angel.py "AI SaaS artificial intelligence"

Limit Funds

Focus on the top N most relevant funds:

python angel.py "AI SaaS" --max-funds 10

Enrich Only

Already ran a scan but want more contacts? Skip discovery entirely:

python angel.py "AI SaaS" --enrich-only

Resume

Interrupted mid-run? Just run the same command again:

# Run 1 — scans 4 of 10 funds, then times out
python angel.py "AI SaaS" --max-funds 10

# Run 2 — resumes at fund 5, skips the first 4
python angel.py "AI SaaS" --max-funds 10

# Run 3 — all 10 done, enriches remaining contacts
python angel.py "AI SaaS" --max-funds 10

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Output Schema

All output is saved to the output/ directory (gitignored). Each topic gets two persistent CSV files.

Funds — output/funds_<topic>.csv

Column	Description
name	Fund or investor name
type	angel investor, micro fund, seed fund, family office, syndicate, venture fund
url	Website URL
thesis	Investment thesis / focus area
stage_focus	Pre-seed, seed, Series A, growth, etc.
check_size	Typical check size if known
notable_portfolio	Notable portfolio companies in the space
relevance	Why they're relevant to your category
source_url	Where the information was found

Investors — output/investors_<topic>.csv

Column	Description
name	Investor's full name
title	Role — Partner, GP, Managing Director, Angel, etc.
fund	Which fund or org they're with
fund_url	Fund's website
type	Fund type (angel, seed, venture, family office)
thesis	Personal investment focus
portfolio_overlap	Companies they've backed in your space
signal_source	Social signal matched (Reddit post, tweet, etc.)
email	Email address (if found)
twitter	Twitter/X handle
linkedin	LinkedIn profile URL
source_url	Where the investor info was found

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How It Works

┌─────────────┐     ┌──────────────┐     ┌────────────────┐
│  Discover    │────>│   Extract    │────>│  Scan Signals  │
│              │     │              │     │                │
│ Web search   │     │ Team pages,  │     │ Intelligence   │
│ for funds,   │     │ portfolio    │     │ SDK scans      │
│ angels,      │     │ pages,       │     │ Reddit, HN,    │
│ syndicates   │     │ thesis →     │     │ Twitter for    │
│ in your      │     │ individual   │     │ investor       │
│ category     │     │ investors    │     │ activity       │
└─────────────┘     └──────────────┘     └────────────────┘
                                                │
                          ┌─────────────────────┘
                          v
              ┌────────────────────┐     ┌─────────────┐
              │  Enrich Contacts   │────>│    Save      │
              │                    │     │              │
              │ 1. Team page links │     │ Dedupe,      │
              │ 2. Individual      │     │ sanitize,    │
              │    web search      │     │ write CSV    │
              │ 3. Signal matching │     │ (incremental │
              │                    │     │  + resumable)│
              └────────────────────┘     └─────────────┘

1. Discover — Runs 5 targeted web searches across different angles (angels, micro VCs, syndicates, family offices, operators) plus social signal scanning.
2. Extract — For each fund, searches for partners/team members and extracts their team pages to build a verified investor list.
3. Scan Signals — Uses the Intelligence SDK to scan Reddit, Hacker News, and Twitter for real-time investor activity relevant to your category.
4. Enrich — Three-layer enrichment: team page link extraction, individual web searches for each investor, and signal matching.
5. Save — Results saved incrementally after every fund and every enrichment batch. Nothing is lost on interruption.

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File Structure

angel/
├── angel.py            Main entry point — the agent
├── requirements.txt    Python dependencies
├── .env.example        Template for API key setup
├── .gitignore          Excludes output/, .env, __pycache__/
├── output/             CSV output directory (gitignored)
│   ├── funds_<topic>.csv
│   └── investors_<topic>.csv
├── README.md
└── LICENSE

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Technical Details

Detail	Value
AI Model	GPT-5.4 (via AiAssist.net OpenAI proxy)
Intelligence SDK	aiassist-secure-intelligence v1.1.1
Signal Sources	Reddit, Hacker News, Twitter (22 sources available)
Search Depth	advanced (full page analysis)
Max Content Extraction	15,000 characters per page
Enrichment Batch Size	3 investors per individual search
Team Page Scan	Extracts Twitter/LinkedIn links from /team, /people, /partners pages
Retry Policy	3 attempts, exponential backoff (1.5x)
Retryable Status Codes	408, 409, 429, 500, 502, 503, 504
Connection Pooling	requests.Session reused across all calls
Deduplication	Funds by name + domain, investors by normalized name + fund
Incremental Saves	After every fund scan and every enrichment batch
Fabrication Policy	Never — only includes details verified from web sources

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Use Cases

• Founders Raising — Find angels and seed funds already investing in your space before you start cold outreach.
• Startup Accelerators — Build investor databases for your portfolio companies by category.
• PR & Comms — Identify investor-influencers who are active on Twitter talking about your market.
• Fund of Funds — Map the micro VC and angel landscape in specific verticals.
• Market Research — Understand who's backing what in emerging categories like AI, climate, bio, etc.

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Related Projects

• Journey — Same architecture, but finds journalists and publications instead of investors. Built for getting press coverage.

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License

MIT — see [LICE