4.6 • 683 Ratings
🗓️ 29 August 2016
⏱️ 17 minutes
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0:00.0 | Good morning. Our guest this morning is Anand Koukarni, and he's really a special guy, |
0:04.9 | president and co-founder of Lead Genius, backed by Y Combinator 500, Andresen, and Sierra Ventures. |
0:12.5 | Lead Genius has raised over $8 million to pursue a combination of sales automation technology |
0:17.1 | and anti-poverty social work. In a previous life, Anand was a mathematician, |
0:22.7 | NSF fellow, and PhD candidate at Berkeley, where he taught entrepreneurship to undergraduates. |
0:28.4 | Anand, are you ready to take us to the top? Absolutely. Let's do this. All right, let's do this. |
0:32.6 | So first things first, right before lead genius, were you teaching full-time? I was, and I was not. I was a |
0:39.8 | researcher at Berkeley. In my spare time, I would teach classes as graduate students often do. |
0:44.8 | I was drawn to entrepreneurship because that's where a lot of the fun was in teaching. |
0:49.0 | Got it. So walk us through what Lead Genius does and how you make money. Sure thing. So Lead |
0:53.5 | Genius is AI for sales. |
0:55.5 | We think of it as top of the funnel automation. |
0:57.7 | Companies come to us when they're looking to map out new leads in their market, people |
1:02.2 | who are going to buy from them in the future. |
1:04.2 | We automate the process of figuring out all the companies in their space, all the people |
1:08.5 | who are decision makers at those companies, figuring out how to contact those people, and then we automate the email back and forth going from our customer's salespeople to the prospects that they want to speak to with those companies. |
1:19.0 | So can you, and I can you give a real life example just to really bring it home, a real life customer? |
1:24.0 | Sure. So we've got a company who is right now using Lead Genius to map out every director of IT at a Brazilian telecom company with the interest of selling them IT products and services. |
1:37.7 | So they were interested in companies that were between 100,000 in revenue and about 10 million in revenue. |
1:43.6 | So there's a finite number of those |
1:44.9 | companies. That information is always changing. We use a combination of crowdsourcing and crawling |
1:50.4 | to go out and find this information from a combination of public databases, company websites, |
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