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Connor Davidson
Connor Davidson

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Pitchbook Killer - VC Fundraising Automation for Startups

This is a submission for the Agent.ai
Challenge: Full-Stack Agent
Challenge: Productivity-Pro Agent
Challenge: Assembly of Agents
(See Details)

What I Built

VC Finder Pro is an essential tool for startup founders looking to raise new capital from highly relevant investors. Specifically, this agent does the following:

1) Intakes key information about your startup or business
2) Creates a vector embedding of that info using GPT's text embedding model API
3) Cross references the embedding with a Pinecone vector database of over 3500 VC and PE investors via a custom API
4) Provides a focused list of the top 25 matches (ranked by match score and formatted in CSV table), and
3) Drafts personalized outreach emails to target investors, referencing company specifics and investor preferences

Demo

Agent: https://agent.ai/agent/VC-Finder-Pro
Demo: https://youtu.be/MpfCRK203xU

Agent.ai Experience

The Agent.ai Agent builder was fairly easy to work with. There are some gaps with documentation, but the community was always quick to respond. A a non-coder, tools like Agent.ai are a fantastic example of how the future is shifting to no/low code tooling to build real world, highly useful AI applications.

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🚀 pgai Vectorizer: SQLAlchemy and LiteLLM Make Vector Search Simple

We built pgai Vectorizer to simplify embedding management for AI applications—without needing a separate database or complex infrastructure. Since launch, developers have created over 3,000 vectorizers on Timescale Cloud, with many more self-hosted.

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