The Other Side of the Table: What Eight Years as a Founder Taught Rob About Investing

"At its core, what AI does is it summarizes things that already exist. And what VC does is create things that don't already exist." — Rob Biederman, Managing Partner, Asymmetric Capital Partners

There's a particular kind of investor who has sat where the founder sits. Who has raised the round, managed the board, made payroll in a month where the math didn't quite work, and felt the specific loneliness of being the person everyone else in the company looks to when things get uncertain. These investors see differently — not because they're smarter, but because they've been on the receiving end of the exact decisions they now get to make.

Rob Biederman is one of them. He spent eight years as CEO of Catalant Technologies, a marketplace for high-end on-demand talent that grew to serve a significant portion of the Fortune 100. He raised seven rounds of venture capital from firms like Highland, Greylock, and General Catalyst. He built a company, scaled it through a pandemic, and then — at the moment most founders would have stayed — walked to the other side of the table.

Today he's the managing partner of Asymmetric Capital Partners, an early-stage venture firm he co-founded with a former board member. His path there was, by his own admission, nonlinear. But the instincts he brought with him are anything but accidental.

The Decision to Leave

There's a mythology around founder transitions that tends to flatten the reality. The narrative usually involves either burnout or a dramatic exit. Rob's was neither.

In 2020, Catalant — a company built around remote, on-demand professional talent — had one of those rare moments where the market suddenly, violently bent in its direction. The pandemic made remote work not just acceptable but essential for the Fortune 100 clients who had previously treated it as a deal-breaker. Revenue was up 90% year-over-year by August. The company was thriving.

And that, counterintuitively, was when Rob decided it was time.

"I felt like that was the right time to put a happy cap around my time as CEO of the company, make myself chairman and launch the VC firm," he said. He had a phenomenal co-founder and co-CEO ready to lead. A supportive board who understood the transition. And a growing conviction that his next chapter belonged in investing.

The instinct to leave at a high point rather than a low one is rarer than it should be. Most people wait until the energy is gone. Rob left while the energy was still there — and redirected it.

What Founders See That Career Investors Don't

When a former founder evaluates a company, the pattern recognition operates on a different frequency. They're not just modeling the TAM or stress-testing the unit economics. They're reading the room in a way that only comes from having been in that room yourself.

Rob's approach to early-stage investing at Asymmetric reflects this. The firm invests at pre-seed and seed — the stage where there's often no revenue, no proven model, sometimes barely a product. The data is thin. The spreadsheet tells you almost nothing. What matters is the person.

"The point of venture capital is not doing a bunch of math to see if the company's going to be successful," Rob said. "That's a very small fraction of what we actually do. What it is, is figuring out if we want to be in business with people and whether they can drive the kind of disruption that we think is important."

This is where founder experience becomes a genuine edge. When you've raised seven rounds yourself, you know what desperation looks like in a pitch. You know what quiet conviction looks like. You know the difference between a founder who has rehearsed their answer to the hard question and one who has actually lived through the hard question. These are distinctions that no amount of deal flow software can replicate.

Fund Size Is Strategy

One of the sharpest insights from Rob's experience building Asymmetric is how much of a fund's identity is determined by a single decision: how big it is.

"The most important thing you can select is your fund size," he said. "So much of your strategy comes out of that. Once you pick your fund size, it essentially makes a lot of the other decisions for you."

Asymmetric raised $105 million for Fund I. That number wasn't arbitrary — it was reverse-engineered from a thesis. They wanted to write initial checks of one to three million dollars, reserve capital to follow on with another three to six million when companies showed traction, and build a portfolio of 20 to 25 companies. They ended up with 29.

The discipline embedded in that structure is worth noting. In an industry where fund sizes have ballooned — where firms that once wrote $2 million seed checks now manage billions — Asymmetric has stayed deliberately small and deliberately focused on the earliest stages. Rob sees this as a competitive advantage, not a limitation. The multi-stage asset gatherers, as he calls them, have lost clarity of purpose. A firm that knows exactly what it does, and does only that, can move faster and win deals that larger funds can't prioritize.

For Fund II, the plan is to concentrate further — fewer companies, more ownership, deeper relationships with management teams. The low loss rate in Fund I earned that conviction.

Hiring for Trajectory

Building a venture team is a different exercise than building a startup team, and Rob is precise about why.

At Catalant, hiring was relatively discrete. You needed a head of sales, and you knew the metrics and capabilities that role required. The job description mapped to a clear set of outcomes. In venture, the job description is the job description for now — but the firm's needs will evolve, and the people you hire today need to be the people you want to be partnered with in 2032 or 2042.

"It requires you hiring with an eye more towards trajectory," Rob said. "Where's the person today, but also what are they going to be capable of doing down the road?"

This is an underappreciated point for anyone trying to break into venture. The firms worth working for aren't just evaluating your current skills. They're projecting — what will you become? Do you have the intellectual range to shift from seed investing to Series A if the fund evolves? Can you add value across different stages, different sectors, different market conditions? The best hire isn't the person who's perfect for the role today. It's the person whose ceiling is highest.

The Apprenticeship Problem

Rob raises a concern about the industry that deserves more attention than it's getting.

The conventional wisdom right now is that AI can handle much of the junior VC workload — research before calls, transcript summaries, quick financial models. And technically, that's true. The work can be automated. But Rob argues that automating the work misses the point of the work.

"I think that neglects the purpose for a lot of that work, which is how you build your intuition as an investor," he said. "The point of doing the junior level of VC work is obviously partially just to get it done, but also partially because of how you grow and you learn."

Venture capital has always been an apprenticeship model. You learn by doing the unglamorous work — the market maps, the competitive analyses, the reference calls — and in doing it, you develop the pattern recognition that eventually makes you a good investor. If AI handles all of that, who develops the next generation of senior partners?

Rob frames the distinction with characteristic clarity: AI summarizes things that already exist. Venture capital creates things that don't. If investing could be reduced to predicting the next word in a sequence, the industry wouldn't need humans at all. But no one has managed to reduce the art of identifying a great founder to something purely scientific. The "animal sense" of whether the person sitting across from you is the one who will drive real disruption — that's not a capability you can outsource to a model. It's one you build through years of doing the work yourself.

The Contrarian Bet

Asymmetric's investment thesis reflects the same instinct for going where others aren't. While the market floods capital into foundational large language models at eye-watering valuations, Rob is more interested in the vertical applications built on top of them.

"We want to disrupt companies with large language models," he said. "We can benefit from a lot of the tech development that other people have funded. And we don't need to necessarily back the foundational model, but instead the application layer company that may be a really interesting adjunct alongside or on top of that core model."

The logic is elegant: let others fund the infrastructure at valuations that make excess returns nearly impossible. Then back the companies that use that infrastructure to solve specific, high-value problems in specific industries. One example from the portfolio is Council Health, led by a physician-researcher building AI-driven healthcare that can deliver high-quality medical guidance without requiring a doctor to be constantly present — a direct response to the provider shortage in the US.

It's the kind of investment that requires both technical understanding and operational empathy. You need to know enough about AI to evaluate the technology, and enough about healthcare to understand why the problem matters. That intersection — technical depth and sector knowledge — is where the former founder's pattern recognition pays its highest dividends.

Discipline as Identity

Rob's advice to emerging fund managers is disarmingly simple: find your investor grid, tell people exactly what you're going to do, and then do it. Relentlessly.

"Where people get into trouble is they run around and they do everything under the sun because they think that investors are looking for them to do a bunch of different stuff," he said. "What LPs hate is when you're moving around as the wind blows. They just want to see you do the same consistent thing over and over."

There's a deeper principle here that applies well beyond fund management. In a market full of noise, consistency is a signal. The discipline to say no to the hot deal that doesn't fit your thesis, to resist the gravitational pull of whatever sector is trending this quarter, to keep doing the boring, focused thing you said you'd do — that's what builds trust with LPs, with founders, and with the market over time.

It's the same lesson, really, that runs through the founder experience. You pick a problem. You commit to it. You resist the temptation to pivot every time something shinier appears. And eventually, the compounding effect of that discipline becomes the thing that sets you apart.

🎧 Listen to the full conversation with Rob on the GoingVC Podcast — including how he navigated the transition from Catalant to Asymmetric, his take on AI's impact on the VC talent pipeline, and why fund size is the most important strategic decision a new manager will make. Available wherever you listen to podcasts.

A special thanks to Rob Biederman, Managing Partner of Asymmetric Capital Partners, for a candid and generous conversation about what it actually takes to build a venture firm from the operator's seat.

Want to build or accelerate your career in venture capital? GoingVC's career accelerator has helped hundreds of professionals break into VC with the skills, frameworks, and networks that funds are actually looking for. [Learn more at GoingVC.com]

‍