Key Takeaways

  • Hunter Walk identifies two critical errors from Homebrew's first decade: underinvesting in proprietary talent infrastructure and underwriting deals during the 2020 pandemic lockdowns.
  • Homebrew relied on basic Google Docs and Notion workspaces for years, failing to build software that programmatically tracked early engineering hires across portfolio companies.
  • Missing those early technical hires cut the firm off from "dark deal flow," the off-market seed rounds launched by alumni engineers before institutional rounds form.
  • Walk argues that capital deployment during severe shocks like COVID-19 misprices temporary consumer behavior as permanent product-market fit.

Spreadsheets Cost Homebrew Dark Deal Flow

Homebrew launched in 2013 with a deliberate constraint: stay small, run a concentrated portfolio, and avoid the overhead of multi-billion-dollar fund platforms. That choice created an operational blind spot. By refusing to act like a mega-fund, the firm also avoided building the proprietary software necessary to track its own portfolio talent.

“I think what we did was we underinvested in systems and teams because we weren't trying to be the next multi-billion dollar firm,” (play from 1:13:27) Walk noted. “I think that we made do with Google Docs and Notion sheets for too long. As the velocity of the markets, the founders, or talent networks moved, it wasn't that we fell behind; it's that we didn't take advantage of one of our strengths.” (play from 1:13:49)

In early-stage venture, the most valuable proprietary deal flow comes from high-performing engineers who leave successful portfolio companies to build their own startups. Walk calls this "dark deal flow." When a seed firm relies on manual spreadsheets, it tracks founders but loses the trail of the tenth engineer hired at a breakout company. By the time that engineer leaves to start a company and posts about it publicly, top-tier multi-stage funds have already circled the round. Capturing those founders requires automated, real-time mapping of portfolio alumni networks, not static documents.

Lockdown Velocity Warped Product-Market Fit

The second major error came in 2020. During the initial wave of COVID lockdowns, venture activity accelerated rather than paused. Pitch meetings moved to 30-minute Zoom calls. Diligence timelines collapsed from weeks into hours. Capital chased metrics that looked like historic inflection points but were actually hostage-audience anomalies.

“The second thing I would have said is don't invest through COVID,” (play from 1:15:38) Walk said. “I feel like COVID, that period, the closed down period of 2020, broke some of our model. If there's another pandemic, it's a good time to buy an apartment in New York and a bad time to invest in of the moment startups.” (play from 1:15:43)

The mistake was confusing rapid adoption during forced isolation with enduring demand. Startups offering remote collaboration tools, home fitness alternatives, and instant delivery saw hockey-stick revenue graphs that collapsed as soon as physical movement resumed. The compressed diligence schedules prevented investors from stress-testing whether customer retention would survive a return to baseline reality.

Why It Matters

Walk's reflections explain why so many early-stage vintages from 2020 and 2021 face structural write-downs. Underwriting growth during artificial macroeconomic distortions creates false baseline metrics that poison later funding rounds. At the same time, the institutional shift toward proprietary sourcing infrastructure shows that pure relationship-driven venture cannot scale, even within boutique firms. Investors who fail to automate network tracking surrender the highest-margin deals to competitors who run real-time talent graphs.