QED Investors realized they were misusing their famous founder, Nigel Morris, by only bringing him in for the final call. They now strategically deploy him early in the process to open doors and build relationships with target companies, using his reputation as an asset for outreach, not just a closing tool.
To build immediate trust and demonstrate value, QED partners engage with founders by simulating a board-level conversation from the first meeting. This "pretend I'm your investor" approach showcases their expertise and builds rapport, proving their founder-friendliness rather than just promising it.
Most VCs "gather" by networking broadly. QED advocates for "hunting": identifying a single, high-conviction company and relentlessly pursuing an investment. This shifts the mindset from passively waiting for inbound leads to proactively targeting the absolute best opportunities long before a formal fundraise begins.
The most successful operating partner model in venture isn't a long-term advisory role. It functions as a "try before you buy" for both the partner and the portfolio company, with the partner's primary goal being to find a cultural fit and land a C-suite position.
Unlike in private equity, an early-stage venture investment is a bet on the founder. If an early advisor, IP holder, or previous investor holds significant control, it creates friction and hinders the CEO's ability to execute. QED's experience shows that these situations are untenable and should be avoided.
Drawing from his time at the US Treasury, Amias Gerety explains that recessions are about slowing growth. A financial crisis is a far more dangerous event where fundamental assumptions collapse because assets previously considered safe are suddenly perceived as worthless, causing a "sudden stop" in the economy.
In the current AI hype cycle, a common mistake is valuing startups as if they've already achieved massive growth, rather than basing valuation on actual, demonstrated traction. This "paying ahead of growth" leads to inflated valuations and high risk, a lesson from previous tech booms and busts.