Brian Nichols is the co-founder of Angel Squad, a community where you’ll learn how to angel invest and get a chance to invest as little as $1k into Hustle Fund's top performing early-stage startups

Tomasz Tunguz grew up in Brazil, attended Dartmouth, and joined Google after graduating, where he worked as a product manager on the AdSense team managing the $900 million MySpace advertising deal and launching AdSense in six new international markets. He joined Redpoint Ventures in 2008 and spent 15 years there as a Managing Director.

At Redpoint, he backed Looker, the business intelligence platform Google acquired for $2.6 billion in 2020. He backed Chorus.ai, acquired by ZoomInfo for $575 million. He backed Kustomer, acquired by Meta for approximately $1 billion. He backed ThredUp, the online secondhand clothing marketplace that went public. He backed Expensify, which went public. Across that run he worked with eight unicorn companies.

Theory Ventures

In September 2022, Tomasz Tunguz investments shifted to Theory Ventures, the firm he founded with a $230 million debut fund. Theory is named for its thesis-first approach: research a technology discontinuity, develop an informed investment perspective, then back founders at the earliest stages who are building in that space.

The three original thesis areas were the Decade of Data (companies capitalizing on falling storage and compute costs to build data-intensive products), AI-Native Businesses (companies whose core advantage is machine learning rather than traditional software), and Web3 (protocol-native financial applications). The portfolio has since expanded to include Monte Carlo, the data observability platform; MotherDuck, the cloud analytics database; Omni, the business intelligence platform; Mysten Labs, the builders of the Sui blockchain; Hex, the collaborative data science notebook; and Dropzone, an AI-powered security operations platform.

Elizabeth Yin of Hustle Fund has written about the difference between investors who have a thesis and investors who have a theory the latter being a more rigorous version that requires not just pattern matching but genuine understanding of why a technology change creates an investable opportunity. Theory Ventures is named for exactly that distinction. Angel Squad members developing their own investment frameworks can explore similar thesis-first thinking at hustlefund.vc/squad.

The Blog as Infrastructure

Tunguz has published data-driven analysis on his blog tomtunguz.com since joining Redpoint in 2008. The blog covers SaaS benchmarks, AI market dynamics, venture capital fund economics, and startup strategy. It generates millions of page views per month and has made him one of the most widely read enterprise software investors in the world.

The content creates deal flow in a specific way: founders who are thinking seriously about data or AI infrastructure find his analysis, read it, and eventually reach out. By the time they pitch him, they have been engaging with his thinking for months or years. That is a very different inbound than a cold email or a warm intro.

Shiyan Koh of Hustle Fund has talked about the compounding nature of public thought leadership in venture. Investors who publish their frameworks publicly attract founders who have already pre-qualified themselves against that framework. Tunguz built that machine more systematically than almost anyone in enterprise investing. Angel Squad members learn how to develop and communicate their own investment theses within the community at hustlefund.vc/squad.

Real-Time Market Analysis

One of the unusual things about Tunguz's blog is that he publishes quantitative analysis of public SaaS company data in near real-time, using it to benchmark what is happening in the private markets where he invests. If public SaaS multiples are compressing, he writes about what that means for private company valuations. If AI revenue growth rates at public companies are accelerating, he writes about what that signals for early-stage AI infrastructure bets.

This creates a feedback loop that most investors do not have. His LPs and portfolio founders read the blog. Founders who are trying to understand where their company sits relative to the market read the blog. That shared information environment means conversations inside the Theory portfolio are more grounded in data than conversations at most firms.

He has also been public about his predictions and tracked them over time, which is itself a form of intellectual accountability that most investors avoid. His 12 bold predictions for 2025 included an IPO market rebound, AI voice interfaces achieving broad adoption, a $100 million ARR company with fewer than 30 employees, and stablecoin supply reaching $300 billion. Publishing those commitments publicly and then revisiting them forces a rigor that most investors skip.

The Data Philosophy

Tunguz is rigorous about applying quantitative analysis to investment decisions in a field where most decisions are intuitive. He benchmarks SaaS metrics obsessively ARR growth rates, net dollar retention, gross margin profiles, payback periods and publishes those benchmarks publicly so founders can understand where they stand relative to peers.

His 2025 data on AI infrastructure showed that AI spending reached $500 billion in 2024, ranking as the sixth-largest infrastructure investment in US history and projected to reach nearly $1 trillion by 2030. That kind of macro analysis shapes which markets he finds investable and which he finds crowded.