Earlybird's AI Leap: Incentives, Not Tech, Drove VC Adoption
Andre details Earlybird's pivot to an AI-native VC, building tools like Eagle Eye to automate "monkey work." The real challenge? Shifting investor culture via performance metrics.
Why Most Venture Capital Firms Aren't Built for AI
With David Weisburd, Andre · Sunday, August 9, 2026
Andre, an investment professional at Earlybird, discusses his journey into venture capital and how his machine learning background influenced the firm's approach. He details Earlybird's shift to an AI-native platform, focusing on automating redundant tasks and using proprietary data to generate alpha. The conversation also explores evolving founder traits for different tech stack layers, the rising importance of founder branding, and the critical role of cultural change in VC innovation.
Earlybird's Andre: Founder Traits Differ by Tech Stack Layer
Earlybird's Andre details a VC framework: founder traits for Deep Tech, AI models, and app layers differ sharply. Signals a shift in deal evaluation.
Earlybird's AI Learns VC 'Taste' for Proprietary Deal Flow
Andre reveals how Earlybird uses internal data like meeting transcripts and IC surveys to train AI, codifying firm 'taste' and generating unique VC deal flow.
VC Deals: Firm Brand for New Founders, Partner Fit for Pros
Earlybird's Andre reveals how first-time founders chase VC firm brands, while serial entrepreneurs prioritize individual partner relationships, shifting deal dynamics.