Building a Venture Scale Two-sided Marketplace for College Prep to 8-Figure Revenue: Empowerly CEO Hanmei Wu (Part 1)

EdTech is notoriously difficult to build at venture scale. Hanmei is doing it.

689th 1Mby1M Entrepreneurship Podcast with Julie Castro Abrams, How Women Invest

Julie Castro Abrams, Managing Partner at How Women Invest, discusses her firm’s investment thesis.

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Building an AI-Powered Pharmaceutical Services Business: VIDA CEO Susan Wood (Part 1)

This conversation not only highlights Susan and VIDA’s journey but is an excellent analysis of the Pharmaceutical Services space. If you’re looking to do/doing a startup in this field, the conversation should be illuminating.

Sramana Mitra: Let’s start at the very beginning of your journey. Where are you from? Where were you born and raised? What kind of background?

From MIT PhD Student to Machine Learning Entrepreneur: Verta.ai CEO Manasi Vartak (Part 1)

Manasi made the journey from a technologist to a founder CEO, raised over $10M in funding, and has built over $5M in revenue with her first startup.
Amazing execution!

Sramana Mitra: Let’s start at the very beginning of your journey. Where are you from? Where were you born, raised, and in what kind of background?

From Developer to Successful Machine Learning Entrepreneur: Aparna Dhinakaran, Co-Founder, CPO of Arize (Part 6)

Sramana Mitra: You believe there is a bias from customers?

Aparna Dhinakaran: No, I think there is a bias in the tech industry itself. In general, there are not that many women that go into AI. I don’t think that we can argue that we’ve reached a neutral point. If I saw that in reality, there would be more women founders.

Sramana Mitra: I’m not asking you the question on statistics. I’m asking about your personal experience. Do you face bias from customers?

From Developer to Successful Machine Learning Entrepreneur: Aparna Dhinakaran, Co-Founder, CPO of Arize (Part 5)

Sramana Mitra: So what use cases did you find the maximum traction in?

Aparna Dhinakaran: AdTech click-through rate is a common use case. Fraud is a big one. Lending is a big one. Demand forecasting is another big one. There are these common use cases.

Sramana Mitra: Are you direct selling?

From Developer to Successful Machine Learning Entrepreneur: Aparna Dhinakaran, Co-Founder, CPO of Arize (Part 1)

We have a huge audience of developers, engineers, and programmers who want to transition to becoming successful entrepreneurs.

This conversation explores the journey of such a developer. Fantastic story!

Sramana Mitra: Let’s start at the very beginning of your journey. Where are you from? Where did you grow up? What kind of circumstances?

14 Udemy Courses on How To Build a Startup for a Woman Entrepreneur

While we have made a lot of progress, the tech industry remains male dominated.

My mantra has always been: Do not strive to be a great female entrepreneur. Strive to be a great entrepreneur. Period.