<aside> <img src="/icons/book_yellow.svg" alt="/icons/book_yellow.svg" width="40px" /> Welcome to our showcase of data-driven automations for the the venture capital industry.
Below, you’ll find 5 powerful use cases demonstrating the strategic implementation of automation tools to enhance VC operations, networking, sourcing, and decision-making processes.
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<aside> <img src="/icons/info-alternate_red.svg" alt="/icons/info-alternate_red.svg" width="40px" /> Important Note:
The showcases featured here utilize no-code and automation tools, designed to demonstrate practical and swiftly implementable solutions.
For more comprehensive, data-intensive projects, please contact us to discuss tailored solutions.
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<aside> <img src="/icons/info-alternate_yellow.svg" alt="/icons/info-alternate_yellow.svg" width="40px" /> Context:
Venture Capital is shifting rapidly; outbound strategies are now critical for sourcing and closing deals.
We've learned from sales that proactive engagement and strategic outreach can significantly enhance deal flow and operational efficiency.
Now, it's time to apply these strategies to venture capital.
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From a proven B2B engagement system, we've adapted an innovative approach for the VC landscape.
The Automated Founder Sourcing System (AFSS) identifies and qualifies founders with high potential based on tailored criteria for your fund, such as previous exits, tech industry experience, and influential network presence.
The origin of this came from a system we built for sales, a B2B Engagement Retargeting System.
<aside> <img src="/icons/bullseye_yellow.svg" alt="/icons/bullseye_yellow.svg" width="40px" /> Objective: Streamline founder discovery and qualification using tailored automation to your own contacts and social engagements.
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📥 Source founders from your social engagements:
📤 And get:
Tool Stack:
Bardeen
Relevance AI
Zapier
**Data Acquisition**:
Scrape LinkedIn profiles automatically from social engagements (profile viewers, new connections, etc.) or with a human on the loop.
**Data Processing**:
Transfer and process data through Zapier workflows.
**AI Qualification**:
Categorize profiles via Relevance AI based on predefined criteria.
This helps VC’s find entrepreneurs and talent that match their fund.
https://prod-files-secure.s3.us-west-2.amazonaws.com/442e53d8-54ae-4e61-a3db-5ff6d45008dc/d51426fd-1979-4130-ba0d-7cfdb702b6b1/2024-04-02_12h45_41.mp4
*Profile Scraping Demo: See how our system extracts profile information in one click, then enriches and qualifies the profile data.*
https://www.loom.com/share/56b5f44cfb46420d9c96548978aadefe?sid=894e7cea-4745-495b-b0e2-1ec537b7e84f
***Profile viewer qualification demo:*** see a basic version of the system to your qualify profile viewers.
<aside> <img src="/icons/info-alternate_yellow.svg" alt="/icons/info-alternate_yellow.svg" width="40px" /> Context: Early identification and tracking of startups from incubators like Y Combinator are crucial for venture capitalists looking to make early investments.
Traditional methods of tracking these companies can be labor-intensive and inefficient.
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