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Building an AI+Data Startup Studio | Tom Chavez, cofounder of super{set}

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Manage episode 487956902 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi 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://podcastplayer.com/legal.

Tom Chavez is the cofounder of super{set}, a startup studio that founds, funds, and builds data and AI startups. Prior to this, he was the CEO and co-founder of Krux, a martech platform acquired by Salesforce in 2016. Before Krux, he was the CEO and co-founder of Rapt, a provider of software for media monetization acquired by Microsoft in 2008. He went to Harvard for undergrad and Stanford for his PhD.
Tom's favorite book: The Three Musketeers (Author: Alexandre Dumas)
(00:01) Origin Story and Starting Superset
(02:58) How Superset Evaluates Ideas and Risk
(06:24) What Is a Venture Studio and How Superset Works
(10:49) Underfunded Layers in AI Infrastructure
(14:55) Orchestration Opportunities in LLM Workflows
(15:49) The Future of Data Infra and ETL in the AI Era
(20:46) Code Infra: Code Quality and AI-Generated Software
(24:55) Model Infra, MLOps, and Why It’s Underwhelming
(27:22) Cloud Economics and Gross Margins in AI Companies
(32:15) Early Team Structure in AI Infra Startups
(34:49) Full Stack vs Composable Infra in AI
(37:52) Fragmentation vs Consolidation in AI Tooling
(41:02) Where Moats Will Accumulate: Data In, AI, Data Out
(45:10) Biggest Challenge in Building Superset
(46:23) Rapid Fire Round
--------
Where to find Tom Chavez:
LinkedIn: https://www.linkedin.com/in/tommychavez/
--------
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi

  continue reading

176 episodes

Artwork
iconShare
 
Manage episode 487956902 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi 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://podcastplayer.com/legal.

Tom Chavez is the cofounder of super{set}, a startup studio that founds, funds, and builds data and AI startups. Prior to this, he was the CEO and co-founder of Krux, a martech platform acquired by Salesforce in 2016. Before Krux, he was the CEO and co-founder of Rapt, a provider of software for media monetization acquired by Microsoft in 2008. He went to Harvard for undergrad and Stanford for his PhD.
Tom's favorite book: The Three Musketeers (Author: Alexandre Dumas)
(00:01) Origin Story and Starting Superset
(02:58) How Superset Evaluates Ideas and Risk
(06:24) What Is a Venture Studio and How Superset Works
(10:49) Underfunded Layers in AI Infrastructure
(14:55) Orchestration Opportunities in LLM Workflows
(15:49) The Future of Data Infra and ETL in the AI Era
(20:46) Code Infra: Code Quality and AI-Generated Software
(24:55) Model Infra, MLOps, and Why It’s Underwhelming
(27:22) Cloud Economics and Gross Margins in AI Companies
(32:15) Early Team Structure in AI Infra Startups
(34:49) Full Stack vs Composable Infra in AI
(37:52) Fragmentation vs Consolidation in AI Tooling
(41:02) Where Moats Will Accumulate: Data In, AI, Data Out
(45:10) Biggest Challenge in Building Superset
(46:23) Rapid Fire Round
--------
Where to find Tom Chavez:
LinkedIn: https://www.linkedin.com/in/tommychavez/
--------
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi

  continue reading

176 episodes

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