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Investor Connect Podcast


Investor Connect is for investors interested in learning more about investing in startup and growth stage companies. Experienced investors share their experiences and advice with those who are considering an investment into startups and growth companies. It includes a podcast series of interviews with investors to inform others about the process of funding startups as well as a resource list and a discussion board.  

Topics include sourcing, analyzing, and researching companies. Other topics include valuations, terms Sheets, board of directors, board of advisors, due diligence, syndicates, venture capital, angels, angel networks, family offices, crowdfunding, exits, and more.

Investor Connect is a community program. We welcome your suggestions for speakers and topics which you can send to us through the Contact page. No registration is required to use the resources.  Discussion boards are available to post and answer questions about startups and growth company investing through which registration is required.

Investor Connect is a program under the Texas Open Angel Network which is a 501(c3) non-profit dedicated to the education around startup funding.

Disclaimer: Hall T. Martin is the Director of Investor Connect which is dedicated to the education of investors for early stage funding. All opinions expressed by Hall and podcast guests are solely their own opinions and do not reflect the opinion of Investor Connect. This podcast is for informational purposes only and should not be relied upon as a basis for investment decisions.

Aug 26, 2019

In this episode, Hall interviews Marc Michel of Runway Venture Partners, a New York-based early-stage investing firm focused on post-seed growth companies. Marc talks about his extensive investing background before founding Runway VP. While Runway is focused on SaaS businesses, it also focuses on filling a funding gap between seed funds and typical series-A funds.
Marc details some of the companies he's invested in and why, as well as highlights some of the challenges in the SaaS space today. Finally, Marc discusses the technologies he's particularly excited about, such as machine learning, data science and AI capabilities.