“We give full-time, in real-time name, email address, date of birth, age, gender, occupation, property value, a full profile behind every single consumer.”
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Said on TBPN
Lon Harris · This Week in Startups · Justin Kan & Brian Chesky: The Rejections That Built Twitch and Airbnb | E2344
Audio streams from the publisher’s own feed. Verbatim does not host or copy it.
Used GrokBot to extract contact information (email, assistant name, press context, LinkedIn/X profiles) for a target person, reducing research time from ~1 hour to seconds
“We give full-time, in real-time name, email address, date of birth, age, gender, occupation, property value, a full profile behind every single consumer.”
“It has to be personalized… as much information as you can get on that person, on LinkedIn… and you can relate it back.”
“By automating the podcast production process with AI, from market research to idea generation to scripts to voices, they'd reduce the price to make an episode to a dollar or less, and the time to under an hour.”
“During scenario creation, you can import the LinkedIn profile… that is the only way that we connect to social profiles”
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