During this week’s roundtable, we had as our guest Bradley Harrison, Founder, Managing Partner at Scout Ventures, for a terrific discussion on how military professionals are engaging in entrepreneurship and an eco-system supporting them. Quite fascinating! atexto As for our entrepreneur pitch, we had Esteban Gorupicz from Palo Alto, California, pitch atexto, an AI speech
Sridhar Iyengar: In 2011, my business partner and I started our second venture together. It was a wearable tech company called Misfit Wearables. We were heavily inspired by the digital health area that we were exposed to. We wanted to do something in digital health. Back in 2010, the only way to do that was
If you haven’t already, please study our Bootstrapping Course and Investor Introductions page. Jory Lamb, CEO / Founder of VistaVu Solutions, started as an entrepreneur as a 23-year old in rural Canada. He shared his 18 year journey with me in 2014. Sramana Mitra: Let’s start at the very beginning of your story. Where are you from? Where were
Today’s 541st FREE online 1Mby1M Roundtable For Entrepreneurs is starting NOW, on Thursday, August 12, at 8 a.m. PDT/11 a.m. EDT/5 p.m. CEST/8:30 p.m. India IST. Click here to join. PASSWORD: startup All are welcome!
Today’s 541st FREE online 1Mby1M Roundtable For Entrepreneurs is starting in 30 minutes, on Thursday, August 12, at 8 a.m. PDT/11 a.m. EDT/5 p.m. CEST/8:30 p.m. India IST. Click here to join. PASSWORD: startup All are welcome!
We observed the movement of system administrators becoming DevOps engineers. Sridhar is leading an effort of moving lab administrators becoming LabOps engineers with the help of cutting edge technology like IoT.
If you haven’t already, please study our Bootstrapping Course and Investor Introductions page. Here is Ingenious Med Founder Steve Liu’s early story, yet another instance of a very successful company being built in the bootstrapping using a paycheck mode. Sramana Mitra: Let’s start at the beginning of your story. Where are you from? Where were you born and raised,
Sramana Mitra: We’ve talked about the use case and data signals. When you started, how did you get the data with which to train the model, and what was the seeding of the algorithm? Sivakumar Lakshmanan: We are single-tenant. We don’t train our models on one customer and use them for other customers because of