I’m a General Partner at Contrary and invest across all stages and sectors.

You can find me on Twitter, YouTube, LinkedIn, and email.

Check out Contrary Research, the only equity research focused on private technology companies.

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The below companies are actively hiring. Reach out to learn more about portfolio opportunities.

Mature: Hallow (10 million+ downloads), Zepto ($500 million+ revenue), Ramp (15,000+ customers)

Growing: Recurrency, Moment, Modern Intelligence, Doss, Bronco


Below is a selection of posts I’ve written for my blog or major online publications from 2016-present. If you’re hit with a paywall, contact me and I can send a PDF.

Interview with Emil Michael Emil was Chief Business Officer at Uber. He raised billions of dollars, drove international expansion, and managed a “regulatory revolution” for rideshare

The Zepto Story my “warehouse interview” with Aadit and KV discussing how they took Zepto from zero to $500M+ revenue in less than three years

In Defense of Generalist Investing my TechCrunch article showing why a generalist investing style is fundamental to venture capital

Request for Statecraft technological innovation can’t solve all problems. The answer is better statecraft

What VCs Are Building in 2023 my TechCrunch article about how venture firms are evolving

The Veblen Economy how the global economy is “Veblenizing” as it industrializes

Nth Layer Investing notes on investing with a focus on leading indicators, not lagging ones

First Principles Interviewing how to hire for insight rather than experience by asking the right questions

Opportunities (and challenges) in church tech part two of my TechCrunch series

Jesus, SaaS, and Digital Tithing a TechCrunch article about the church tech market

Voodoo Games: Three Narrative Violations my TechCrunch piece about how Voodoo upends recent startup trends

Venture Investing in Eldertech my TechCrunch piece about trends and opportunities with the elderly

Simpson’s Paradox and Thinking Rationally in Venture Capital how empiricism and pattern recognition can go wrong

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