> ## Documentation Index > Fetch the complete documentation index at: https://docs.anysite.io/llms.txt > Use this file to discover all available pages before exploring further. # 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.