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How I Built an AI VC Associate to Screen 3,000 Pitch Decks
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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By HackerNoonThis 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.