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Manage episode 343015528 series 2771455
Content provided by Gopi Rangan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Gopi Rangan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Edward Suh, founding partner at Alpine VC, talks about focusing on metrics and data to remove biases when looking for investment opportunities. Edward elaborates how his quant-based investment philosophy helps him to objectively find hidden gems (underprivileged and overlooked entrepreneurs) that are building scalable early-stage startups.

In this episode, you’ll learn:

[1:27] Getting into venture capital as a service-oriented person

[9:22] Can metrics and data be used reliably to evaluate early-stage startups?

[13:27] How does what has happened with your product relate to your personality as a founder? And why do investors care?

[17:30] Build a product that won’t tap out quickly.

[21:16] Clarity in synthesizing the metrics early on and having a compelling vision for the company is a huge plus for a founder when talking with a VC.

The non-profit organization Edward Suh is passionate about: Gold House

About Guest Speaker

Edward Suh is a founding partner at Alpine VC. He is a consumer tech VC who’s keen on using metrics and data to increase diversity in the venture capital system. Edward built internal data platforms for Goodwater Capital and Redpoint, where he worked previously, that helped to identify and flag companies on the basis of their metrics. He now uses the same metrics-based approach in his new firm to evaluate investment opportunities.

About Alpine VC

Alpine VC is a new seed-focused fund that predominantly invests in consumer as well as consumerized enterprise companies globally.

Subscribe to our podcast and stay tuned for our next episode.

Follow Us: Twitter | Linkedin | Instagram | Facebook

  continue reading

144 episodes

Artwork
iconShare
 
Manage episode 343015528 series 2771455
Content provided by Gopi Rangan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Gopi Rangan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Edward Suh, founding partner at Alpine VC, talks about focusing on metrics and data to remove biases when looking for investment opportunities. Edward elaborates how his quant-based investment philosophy helps him to objectively find hidden gems (underprivileged and overlooked entrepreneurs) that are building scalable early-stage startups.

In this episode, you’ll learn:

[1:27] Getting into venture capital as a service-oriented person

[9:22] Can metrics and data be used reliably to evaluate early-stage startups?

[13:27] How does what has happened with your product relate to your personality as a founder? And why do investors care?

[17:30] Build a product that won’t tap out quickly.

[21:16] Clarity in synthesizing the metrics early on and having a compelling vision for the company is a huge plus for a founder when talking with a VC.

The non-profit organization Edward Suh is passionate about: Gold House

About Guest Speaker

Edward Suh is a founding partner at Alpine VC. He is a consumer tech VC who’s keen on using metrics and data to increase diversity in the venture capital system. Edward built internal data platforms for Goodwater Capital and Redpoint, where he worked previously, that helped to identify and flag companies on the basis of their metrics. He now uses the same metrics-based approach in his new firm to evaluate investment opportunities.

About Alpine VC

Alpine VC is a new seed-focused fund that predominantly invests in consumer as well as consumerized enterprise companies globally.

Subscribe to our podcast and stay tuned for our next episode.

Follow Us: Twitter | Linkedin | Instagram | Facebook

  continue reading

144 episodes

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