The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

20VC: Who Wins in AI; Startup vs Incumbent, Infrastructure vs Application Layer, Bundled vs Unbundled Providers | From 150 LP Meetings to Closing $230M for Fund I; The Fundraising Process, What Worked, What Didn't and Lessons Learned with Tomasz Tunguz

129 snips

Apr 21, 2023

Tomasz Tunguz, Founder and General Partner at Theory Ventures, dives into the future landscape of AI and its impact on startups versus established companies. He shares his journey from Redpoint to founding a $230M fund, offering insights on the intricacies of fundraising and the lessons learned through extensive LP meetings. The conversation also explores the distinction between foundational AI models and application layers, highlighting investment strategies and the economic implications of AI in code generation. Tune in for valuable takeaways on venture capital and emerging technologies!

Ask episode

AI Snips

Chapters

Books

Transcript

Episode notes

ADVICE

Creating Fundraising Urgency

Drive urgency in fundraising by regularly updating your LP base on new commitments.
Demonstrate progress and inevitability to encourage further investment and introductions.

ADVICE

Fundraising Business Model

Include a business model in your fundraising deck, outlining assumptions on investments, fatality rates, and multiples.
LPs now focus more on business models due to increased cost of capital.

INSIGHT

Concentrated Investing

Thesis-driven investing and concentration enables deeper understanding and conviction.
Focus on fewer companies, enabling more significant investments and support.

Get the Snipd Podcast app to discover more snips from this episode

Get the app

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 which can be found here.

In Today's Episode with Tomasz Tunguz We Discuss:

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?