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Decoding Data: Emma Lawler with Scott Hartley

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Manage episode 403590964 series 3468243
Content provided by Everywhere Ventures (The Fund). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Everywhere Ventures (The Fund) 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.

In episode 25 of Venture Everywhere, Scott Hartley, co-founder of Everywhere Ventures, chats with Emma Lawler, co-founder of Velvet. They make infrastructure for startups to unify disparate data sources and ship real-time product features. By unifying all data sources, Velvet leverages AI to automate SQL queries. Not only does Velvet streamline data analysis, but it also facilitates the creation of API endpoints for seamless integration with other tools, democratizing data access and enhancing organizational efficiency. Emma discussed how Velvet's AI-powered platform is revolutionizing data accessibility, empowering every team member to act as a data engineer.

In this episode, you will hear:

  • Velvet's platform is driving the evolution of Infrastructure as a Service (IaaS) and UX design.
  • The idea of founder-market fit and capturing VC interest with a compelling founder story and distinctive product differentiation.
  • The nuances of co-founder dating and collaborating on projects to assess compatibility, skill alignment, and shared vision.
  • Velvet's role in addressing data architecture and technical debt challenges while enhancing product experiences with AI.
  • The role of backend data interoperability in creating an intuitive frontend user experience.

Learn more about Emma Lawler | Velvet

Linkedin: linkedin.com/in/emmalawler

Websites: emmalawler.com/ and https://www.usevelvet.com/

Learn more about Scott Hartley and Everywhere Ventures

Websites: http://everywhere.vc/ and scotthartley.com

Linkedin: linkedin.com/in/scotthartley

  continue reading

42 episodes

Artwork
iconShare
 
Manage episode 403590964 series 3468243
Content provided by Everywhere Ventures (The Fund). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Everywhere Ventures (The Fund) 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.

In episode 25 of Venture Everywhere, Scott Hartley, co-founder of Everywhere Ventures, chats with Emma Lawler, co-founder of Velvet. They make infrastructure for startups to unify disparate data sources and ship real-time product features. By unifying all data sources, Velvet leverages AI to automate SQL queries. Not only does Velvet streamline data analysis, but it also facilitates the creation of API endpoints for seamless integration with other tools, democratizing data access and enhancing organizational efficiency. Emma discussed how Velvet's AI-powered platform is revolutionizing data accessibility, empowering every team member to act as a data engineer.

In this episode, you will hear:

  • Velvet's platform is driving the evolution of Infrastructure as a Service (IaaS) and UX design.
  • The idea of founder-market fit and capturing VC interest with a compelling founder story and distinctive product differentiation.
  • The nuances of co-founder dating and collaborating on projects to assess compatibility, skill alignment, and shared vision.
  • Velvet's role in addressing data architecture and technical debt challenges while enhancing product experiences with AI.
  • The role of backend data interoperability in creating an intuitive frontend user experience.

Learn more about Emma Lawler | Velvet

Linkedin: linkedin.com/in/emmalawler

Websites: emmalawler.com/ and https://www.usevelvet.com/

Learn more about Scott Hartley and Everywhere Ventures

Websites: http://everywhere.vc/ and scotthartley.com

Linkedin: linkedin.com/in/scotthartley

  continue reading

42 episodes

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