# How I Built an AI VC Associate to Screen 3,000 Pitch Decks

Page: https://stenobird.com/podcast/business-tech-brief-by-hackernoon-6365657/how-i-built-an-ai-vc-associate-to-screen-3-000-pitch-decks
Text version: https://stenobird.com/podcast/business-tech-brief-by-hackernoon-6365657/how-i-built-an-ai-vc-associate-to-screen-3-000-pitch-decks.md
Podcast: [Business Tech Brief By HackerNoon](https://stenobird.com/podcast/business-tech-brief-by-hackernoon-6365657)
Published: 2026-02-05T16:00:59+00:00
Episode link: https://share.transistor.fm/s/a8358186
Audio file: https://media.transistor.fm/a8358186/84c56ee5.mp3
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JSON: https://stenobird.com/v1/public/podcasts/business-tech-brief-by-hackernoon-6365657/episodes/how-i-built-an-ai-vc-associate-to-screen-3-000-pitch-decks
Duration seconds: 939

## Resource

This story was originally published on HackerNoon at: https://hackernoon.com/how-i-built-an-ai-vc-associate-to-screen-3000-pitch-decks . VC analysts review 3,000 pitch decks a year and waste hours on manual triage. This article shows how an VCs can automate dealflow screening and prioritization. Check more stories related to business at: https://hackernoon.com/c/business . You can also check exclusive content about #agentic-ai-for-venture-capital , #startup-pitch-deck-screening , #generative-ai-for-vc , #ai-vc-triage-deal , #automated-pitch-deck-analysis , #vc-dealflow-automation , #vc-crm-automation-workflow , #ai-investment-memo-generation , and more. This story was written by: @jurgispocius . Learn more about this writer by checking @jurgispocius's about page, and for more stories, please visit hackernoon.com . A typical VC analyst reviews around 3,000 decks annually and invests in roughly 9. Average time spent per deck: 2-3 minutes (up to 10 if we include preliminary research) This means 99.7% of their time is “wasted” This isn’t a dealflow problem. The issue is triage throughput.

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