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Tomasz Tunguz: How I Raised $230M; ChatGPT vs. Google; How LLMs Work; Trump vs DeSantis | E1004

Tomasz Tunguz is the Founder and General Partner @ Theory Ventures, just announced last week, Theory is a $230M fund that invests $1-25m in early-stage companies that leverage technology discontinuities into go-to-market advantages. Prior to founding Theory, Tom spent 14 years at Redpoint as a General Partner where he made investments in the likes of Looker, Expensify, Monte Carlo, Dune Analytics, and Kustomer to name a few. Tom also writes one of the best blogs and newsletters in the business. ------------------------------------------ Timestamps: (0:00) Meet Tom Tunguz (2:50) Closing $230M Fund: Inside Look (6:51) Secrets of a Successful Pitch Deck (8:57) Mastering the Art of Closing Deals (14:23) Fundraising Advice for Managers (15:36) Building a Winning Investment Portfolio (23:24) Lessons from Snowflake on Reserve Management (26:50) Avoiding Confirmation Bias in Investing (29:20) Approaching AI Investing: Tips & Tricks (35:28) Are enterprise buyers ready for AI? (39:13) AI & Wealth Inequality: A Discussion (44:45) Which company is losing the AI race? (50:01) Data Ownership: Who really owns your data? (52:10) Quick-Fire Round: Fast Q&A with Tom Tunguz (56:16) Election Prediction: Will Trump win in 2024? ------------------------------------------ In Today’s Episode with Tomasz Tunguz We Discuss: 1. Founding a Firm: The Start of Theory: Why did Tom decide to leave Redpoint after 14 years to found Theory? What are 1-2 of his biggest lessons from Redpoint that he has taken with him to his building of Theory? What does Tom know now that he wishes he had known when he started investing? 2. From 150 LP Meetings to Closing $230M: Raising a Fund I How would Tom describe the fundraising process? How many meetings with LPs did he have? How many did he know previously? What documents did he share with LPs? Did he have a dataroom? How did he use it? How did Tom create a sense of urgency to compel LPs to come into the fund? How does Tom feel about the debate between one close and multiple closes? What was the #1 reason LPs said no to investing? What worked and Tom would do again for the next raise? What did not work and he would change for the next raise? 3. Where Will Value Accrue in the Next Decade of AI: Startup vs Incumbent: Will incumbents embrace AI before startups are able to acquire distribution? Infrastructure vs Application Layer: Where will the majority of value accrue in the next decade; infrastructure or application layer? Bundled or Unbundled: Will bundled services be the dominant consumer and enterprise choice or will unbundled specialized solutions win? 4. AI and The World Around It: How does Tom believe AI could save the US economy? Why does Tom believe Google are the losers in the AI race? Which incumbents have responded best to AI? Why does Tom believe we will be in a worse macro place at the end of the year than we are now? ------------------------------------------ Subscribe on Spotify: https://open.spotify.com/show/3j2KMcZTtgTNBKwtZBMHvl?si=85bc9196860e4466 Subscribe on Apple Podcasts: https://podcasts.apple.com/us/podcast/the-twenty-minute-vc-20vc-venture-capital-startup/id958230465 Follow Harry Stebbings on Twitter: https://twitter.com/HarryStebbings Follow Tom Tunguz on Twitter: https://twitter.com/@ttunguz Follow 20VC on Instagram: https://www.instagram.com/20vc_reels Follow 20VC on TikTok: https://www.tiktok.com/@20vc_tok Visit our Website: https://www.20vc.com Subscribe to our Newsletter: https://www.thetwentyminutevc.com/contact ------------------------------------------ #TomTunguz #TheoryVentures #HarryStebbings #venturecapital

Tomasz TunguzguestHarry Stebbingshost
Apr 21, 202359mWatch on YouTube ↗

Episode Details

EPISODE INFO

Released
April 21, 2023
Duration
59m
Channel
The Twenty Minute VC
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

Tomasz Tunguz is the Founder and General Partner @ Theory Ventures, just announced last week, Theory is a $230M fund that invests $1-25m in early-stage companies that leverage technology discontinuities into go-to-market advantages. Prior to founding Theory, Tom spent 14 years at Redpoint as a General Partner where he made investments in the likes of Looker, Expensify, Monte Carlo, Dune Analytics, and Kustomer to name a few. Tom also writes one of the best blogs and newsletters in the business. ------------------------------------------ Timestamps: (0:00) Meet Tom Tunguz (2:50) Closing $230M Fund: Inside Look (6:51) Secrets of a Successful Pitch Deck (8:57) Mastering the Art of Closing Deals (14:23) Fundraising Advice for Managers (15:36) Building a Winning Investment Portfolio (23:24) Lessons from Snowflake on Reserve Management (26:50) Avoiding Confirmation Bias in Investing (29:20) Approaching AI Investing: Tips & Tricks (35:28) Are enterprise buyers ready for AI? (39:13) AI & Wealth Inequality: A Discussion (44:45) Which company is losing the AI race? (50:01) Data Ownership: Who really owns your data? (52:10) Quick-Fire Round: Fast Q&A with Tom Tunguz (56:16) Election Prediction: Will Trump win in 2024? ------------------------------------------ In Today’s Episode with Tomasz Tunguz We Discuss:

1. Founding a Firm: The Start of Theory: Why did Tom decide to leave Redpoint after 14 years to found Theory? What are 1-2 of his biggest lessons from Redpoint that he has taken with him to his building of Theory? What does Tom know now that he wishes he had known when he started investing?

1. From 150 LP Meetings to Closing $230M: Raising a Fund I How would Tom describe the fundraising process? How many meetings with LPs did he have? How many did he know previously? What documents did he share with LPs? Did he have a dataroom? How did he use it? How did Tom create a sense of urgency to compel LPs to come into the fund? How does Tom feel about the debate between one close and multiple closes? What was the #1 reason LPs said no to investing? What worked and Tom would do again for the next raise? What did not work and he would change for the next raise?

1. Where Will Value Accrue in the Next Decade of AI: Startup vs Incumbent: Will incumbents embrace AI before startups are able to acquire distribution? Infrastructure vs Application Layer: Where will the majority of value accrue in the next decade; infrastructure or application layer? Bundled or Unbundled: Will bundled services be the dominant consumer and enterprise choice or will unbundled specialized solutions win?

1. AI and The World Around It: How does Tom believe AI could save the US economy? Why does Tom believe Google are the losers in the AI race? Which incumbents have responded best to AI? Why does Tom believe we will be in a worse macro place at the end of the year than we are now? ------------------------------------------ Subscribe on Spotify: https://open.spotify.com/show/3j2KMcZTtgTNBKwtZBMHvl?si=85bc9196860e4466 Subscribe on Apple Podcasts: https://podcasts.apple.com/us/podcast/the-twenty-minute-vc-20vc-venture-capital-startup/id958230465 Follow Harry Stebbings on Twitter: https://twitter.com/HarryStebbings Follow Tom Tunguz on Twitter: https://twitter.com/@ttunguz Follow 20VC on Instagram: https://www.instagram.com/20vc_reels Follow 20VC on TikTok: https://www.tiktok.com/@20vc_tok Visit our Website: https://www.20vc.com Subscribe to our Newsletter: https://www.thetwentyminutevc.com/contact ------------------------------------------ #TomTunguz #TheoryVentures #HarryStebbings #venturecapital

SPEAKERS

  • Tomasz Tunguz

    guest
  • Harry Stebbings

    host
  • Narrator

    other

EPISODE SUMMARY

In this episode of The Twenty Minute VC, featuring Tomasz Tunguz and Harry Stebbings, Tomasz Tunguz: How I Raised $230M; ChatGPT vs. Google; How LLMs Work; Trump vs DeSantis | E1004 explores vC Tomasz Tunguz Builds Theory: Concentrated Bets Amid AI Upheaval Harry Stebbings interviews investor Tomasz Tunguz about leaving Redpoint to found his new, highly concentrated, thesis-driven firm, Theory, and how he raised a $230M first fund in a brutal LP market. Tunguz details his fundraising playbook, portfolio construction math, and why he believes focus and execution beat sheer diversification in venture. They then dive into the AI landscape: foundation models vs applications, enterprise readiness, data and content ownership, regulation, and why Google has stumbled vs Microsoft in the LLM era. The conversation closes with macro views, politics, and reflections on misses, hits, and what really creates moats in an AI-first world.

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