> ## Agent Instructions
>
> Base URL: https://api.anysite.io
> Authentication: send the `access-token` header. Do NOT use `Authorization: Bearer`.
> Full endpoint catalog: https://app.anysite.io/docs
# VC Deal Sourcing — Automated Founder Discovery Pipeline

How a venture capital fund built a no-code deal sourcing pipeline at $0.06 per contact, replacing $28K/year enterprise tooling with Anysite's API.

## Overview

An emerging venture capital fund uses Anysite's API to power a fully automated deal sourcing pipeline — discovering companies, researching founders, and acquiring contact information at a fraction of the cost of traditional VC intelligence platforms. Built entirely with a no-code platform, the pipeline processes ~85 API calls per day without requiring an engineering team.

At **$0.06 per contact acquired** and a **73.5% profile-to-email conversion rate**, this fund replaced $28,000/year enterprise tooling with a $30/month Anysite subscription — proving that emerging funds can build institutional-grade deal sourcing infrastructure on a bootstrapped budget.

## The Challenge: Deal Sourcing Is Broken for Emerging Funds

Venture capital is fundamentally a deal flow business. The best returns go to funds that find promising companies before the market catches on — and that means systematically discovering founders, not waiting for warm introductions.

But the tools designed for deal sourcing are built for large, established funds:

- **PitchBook** starts at ~$28,000/year — prohibitive for solo GPs and emerging fund managers
- **Crunchbase Pro** and **Dealroom** offer company databases but limited founder contact data
- **Manual research** — trawling LinkedIn, AngelList, and news sites — doesn't scale beyond a handful of deals per week

For a small or emerging fund, the math doesn't work. You need institutional-quality deal flow without institutional budgets. And you need it automated, because a solo GP or small team can't spend hours each day on manual prospecting.

## The Solution: A No-Code Pipeline on Anysite

This fund took a different approach. Instead of subscribing to expensive VC intelligence platforms, they built their own deal sourcing pipeline using Anysite's API as the data layer and a no-code platform for the workflow logic.

The result: a 4-stage automated pipeline that runs daily, continuously discovering companies and founders in target sectors — without writing a single line of code.

## The Workflow

The pipeline follows a logical progression from company discovery to founder contact:

### Stage 1: Company Discovery (~25% of API usage)

The pipeline starts by searching for companies matching the fund's investment thesis — by industry, size, keywords, and growth signals.

- `/linkedin/search/companies` — Find companies by sector, size, and keywords
- `/linkedin/search/jobs` — Open positions as growth signals (a startup hiring aggressively is likely scaling)

### Stage 2: Company Research (~25% of API usage)

For each discovered company, the pipeline pulls detailed profiles to assess fit:

- `/linkedin/company` — Full company profile: industry, employee count, specialties, headquarters
- `/google/company` — Cross-referenced data from Google and the open web

This dual-source approach ensures the fund has a complete picture — LinkedIn for professional data, Google for broader context like funding announcements and press coverage.

### Stage 3: Founder Discovery (~25% of API usage)

Once a company passes the research filter, the pipeline identifies founders and key executives:

- `/linkedin/company/employees` — List all employees at the target company
- `/linkedin/user` — Full profiles for founders and C-suite executives
- `/linkedin/search/users` — Find specific roles (CEO, CTO, Co-founder) at the company

### Stage 4: Contact Acquisition (~25% of API usage)

For qualified founders, the pipeline acquires contact information for direct outreach:

- `/linkedin/user/email` — Email lookup for founders and decision-makers

The **73.5% profile-to-email conversion rate** means that nearly three out of four researched founders yield actionable contact data — a remarkably efficient pipeline output.

## Results & Metrics

| Metric | Value |
|---|---|
| Total API calls (Q1 2026) | 7,663 |
| Daily average | ~85 calls/day |
| Endpoint distribution | Balanced ~25% across all 4 stages |
| Cost per contact acquired | $0.06 |
| Profile-to-email conversion | 73.5% |
| Anysite plan cost | $30/month (MCP Unlimited) |
| Replaced tooling cost | ~$28,000/year (PitchBook equivalent) |
| Engineering team required | None (no-code build) |

The balanced endpoint distribution reveals a well-designed pipeline: roughly equal effort goes into each stage, from discovery through contact acquisition. There's no bottleneck and no wasted capacity.

## The Cost Equation

The economics are compelling:

- **Anysite:** $30/month = $360/year for data access at API level
- **PitchBook:** ~$28,000/year for a comparable (but different) deal intelligence platform
- **Cost difference:** 78x cheaper for the data layer

> 
This is not an apples-to-apples comparison — PitchBook offers financial data, deal history, and a full UI that Anysite doesn't provide. The point is that for the specific capability this fund needed (company discovery + founder profiles + contact data), Anysite delivers at a fraction of the cost.

The $0.06 cost per contact acquired makes the pipeline economically viable even for angel investors and solo GPs who are investing their own capital. At that price point, deal sourcing becomes a fixed operational cost rather than a significant budget line item.

## Key Anysite Endpoints Used

| Endpoint | Pipeline Stage | Purpose |
|---|---|---|
| `/linkedin/search/companies` | Company Discovery | Find companies by sector, size, keywords |
| `/linkedin/search/jobs` | Company Discovery | Hiring activity as growth signal |
| `/linkedin/company` | Company Research | Full company profile and firmographics |
| `/google/company` | Company Research | Cross-referenced web data |
| `/linkedin/company/employees` | Founder Discovery | Map employees at target companies |
| `/linkedin/user` | Founder Discovery | Full founder/executive profiles |
| `/linkedin/search/users` | Founder Discovery | Find specific roles at companies |
| `/linkedin/user/email` | Contact Acquisition | Email lookup for outreach |

## Key Takeaways

- **No-code is production-ready.** A VC fund built a fully automated deal sourcing pipeline without writing code — the combination of Anysite's API and a no-code workflow platform is sufficient for production use.
- **Emerging funds can compete on deal flow.** At $30/month, institutional-grade founder discovery is accessible to solo GPs, angel investors, and emerging fund managers who were previously priced out of VC intelligence tools.
- **Balanced pipelines are efficient pipelines.** The ~25% distribution across all four stages shows a pipeline with no bottlenecks — every stage contributes equally to the output.
- **73.5% conversion proves data quality.** Nearly three-quarters of researched founders yield actionable contact data, validating Anysite's LinkedIn data coverage for VC deal sourcing use cases.