{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Business Tech Brief By HackerNoon","title":"How I Built an AI VC Associate to Screen 3,000 Pitch Decks","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/a8358186\"></iframe>","width":"100%","height":180,"duration":939,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/how-i-built-an-ai-vc-associate-to-screen-3000-pitch-decks.\n             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. \n            Check more stories related to business at: https://hackernoon.com/c/business.\n            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.\n            \n            \n            This story was written by: @jurgispocius. Learn more about this writer by checking @jurgispocius's about page,\n            and for more stories, please visit hackernoon.com.\n            \n                \n                \n                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.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/Jt7ZjSFsWPyXT1J4MukXq9taSSUnP-1Sp6kI7vdNfek/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjY1LzE2ODM1/ODI2MTUtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}