Jason Lemkin built an AI index of his 10,000 pieces of written content, thousands of interviews, and 12 years of SaaStr videos. He used Delphi to consolidate tweets, LinkedIn posts, and videos so the AI answers questions better than he can from memory alone.
About 10,000 pieces of content.
12 years of SaaStr speaker videos.
Delphi.
For like seeing the future a little bit is I have about 10,000 pieces of content I've written over the years, a lot of it which is not out of date. And I update it personally. So about 10,000 pieces of content. And then we have several thousand interviews like you guys do, but with so many great folks. Early ones with Dharmesh, middle ones from Dharmesh. Dharmesh when HubSpot had just IPO Dharmesh the other day. Yamini last week. Brian Halligan over the years and we have all of it in our AI, took everything I've written, every tweet I've ever done, every LinkedIn post, every Saster video from every speaker for 12 years. Aaron Levy, the week he went IPO for the first sester annual to last week when we were talking about AI, all of it ingested in this AI. And so what I instantly saw was as soon as I would talk to this AI, it was much better than me. It was much better than me. Because I forget how did you get that information in there? You just hook up rss, right? The feed for blog. It can scrape the web, which is pretty easy. Soon we'll be able to do other things like MCB, but it's just scraping APIs and RSS, it's really just scraping. You just give a URL. But did you use like Delphi or you built your own tool or what'd you do? I tried a couple things and then I used Delphi.
Business & Burgers-Sequence Collection bracelet for National Entrepreneurship Week
