4.6 • 683 Ratings
🗓️ 31 July 2018
⏱️ 18 minutes
🧾️ Download transcript
Ran Geva is a serial entrepreneur with over two decades of hands-on experience in software development and leadership positions. After founding Omgili, a search engine for online discussions, and co-founding Buzzilla, one of the top web monitoring and analysis companies in Israel, he went on to co-found Webhose.io - a leading global provider of structured web data, where he serves as CEO and lead technologist.
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0:00.0 | This is the top entrepreneurs podcast where founders share how they started their companies and got |
0:06.9 | filthy rich or crash and burn. Each episode features revenue numbers, customer counts, and other |
0:16.1 | insider information that creates business news headlines. We went from a couple hundred thousand dollars to 2.7 million. |
0:23.6 | I had no money when I started the company. |
0:25.6 | It was $160 million, which is the size of any IPOs. |
0:29.6 | We're a bit strapped. |
0:30.6 | We have like 22,000 customers. |
0:33.6 | With over 5 million downloads in a very short amount of time, |
0:38.6 | major outlets like Inc are calling us the fastest growing business show on iTunes. |
0:43.6 | I'm your host, Nathan Latka, and here's today's episode. |
0:48.6 | Hello, everyone, my guest today is Ron Giva. |
0:51.0 | He's a serial entrepreneur with over two decades of hands-on experience in software |
0:54.5 | development and leadership positions. After founding Omgilea, searching for online discussions |
1:00.0 | and co-founding Bazila, one of the top web monitoring and analytics companies in Israel, |
1:04.2 | he went on to co-found webhose.io, his current project. It's a leader, leading global |
1:08.7 | provider of structured web data where he serves as |
1:11.0 | CEO and lead technologist. Ron, are you ready to take us to the top? |
1:15.4 | Yep. Of course. All right. Tell us about web hose. What do you guys do and how do you make money? |
1:21.2 | Well, we sell data feeds. We turn the web into machine readable data feeds and |
1:25.9 | either individuals or companies tap into |
1:30.2 | this data to feed their analytics applications. So it could be from brand monitoring, |
1:35.3 | PR applications to cyber security, financial applications, anything. We basically |
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