Episode
How I Built an AI VC Associate to Screen 3,000 Pitch Decks
- Published
- Feb 5, 2026
- Duration seconds
- 939
- Processing state
not_requested- Canonical source
- https://share.transistor.fm/s/a8358186
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Summary
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.