Lessons from Daniel Dines
On luck, risk, and staying in the game
It took UiPath ten years to reach $1 million in ARR. It took 4 more to reach $175M.
In an era of AI-driven startups rocketing to 9-figures of ARR in less than 2 years, UiPath’s growth still stands out.
Even more when you consider Daniel Dines founded UiPath in 2005, leaving a comfortable engineering job at Microsoft in Seattle and returning to his home country of Romania, trading a six-figure salary for what would become a decade-long search for product-market fit.
By the time UiPath hit $1M in ARR in 2015, Daniel had been at it longer than most startups last. It was a brutal slog, but by then technology had caught up to his original vision of automating basic tasks with software. Six years later, UiPath completed the third-largest software IPO of all time.
I met Daniel in the summer of 2020. At the time, I was working at RBC as a sell-side equity research analyst covering software stocks, and I was doing research on the enterprise automation and RPA market ahead of UiPath’s pending IPO.
Daniel and his business partner Brandon Deer were thinking of launching a venture capital fund to consolidate their angel investing activity alongside some of their UiPath colleagues. After getting to know each other leading up to UiPath’s IPO, they asked me to come join them at their fledgling fund, Crew Capital.
For five years I worked alongside them as we invested in early-stage startups. I got to watch Daniel apply the hard-earned lessons he had from UiPath to a new portfolio of companies, for a new generation of technology.
I recently crossed 3 months of being in an operator seat myself, so I used the opportunity to reflect on lessons I learned from Daniel over the last five years.
The Math of Persistence
Most people think luck is random.
The standard founder story involves some element of right place, right time. Some founders catch a wave, others don’t, and there’s a roll of the dice involved that the founder can’t really influence.
Daniel doesn’t buy that version of building startups.
He’d tell me, luck comes to those who persevere.
The longer you stay in the game, the more chances you get to be in the right place at the right time. The people who win in life are the ones still standing when the opportunity finally shows up, and the ones who move fast enough to seize it.
Sometimes, finding product-market fit can feel like searching around in the dark, trying to grasp hold of something to orient yourself. Luck is like a glimmer of light that illuminates a path forward.
In UiPath’s first decade of bootstrapping from an apartment in Bucharest, there were few glimmers. One came when a very large India-based enterprise cold inbounded Daniel off UiPath’s website to ask if UiPath could replace an incumbent automation product they were dissatisfied with.
In Daniel’s telling, the size of UiPath’s team should have led to an obvious answer: no way they could service a global enterprise and replace an entrenched incumbent software vendor.
That thought never entered Daniel’s head. Instead, he got on a plane to India (the first of many over the following months) and closed the deal.
That became the first enterprise customer UiPath closed on its way to product-market fit. And the window for it only existed because Daniel and the UiPath team had persisted for years, still standing to seize the opportunity.
A rational founder may have quit by year six and moved back to Seattle. Sometimes irrational persistence is what’s required to ‘get lucky.’ Quitting one year too early is mathematically equivalent to never having started.
The Asymmetry of Startup Risk
When people think about startups, risk is one of the first ideas that comes to mind. The risk of failure, of wasted time, of disappointment, of embarrassment.
People treat all of it as one undifferentiated thing to be avoided. But not all risk is shaped the same. In finance 101, you learn that in securities like stocks and bonds, risk and reward are correlated. The same is often true in life.
But the shape, or symmetry, of the risk relative to the reward is what people should be focused on - not the existence or absence of risk.
Daniel reframed how I think about risk in startups. He often encouraged our founders to adopt this framing of asymmetry in startup risk.
Downside startup risk is over-catastrophized. The common view of a failed startup as a personal setback, in Daniel’s view, was a massive miscalibration.
Early-stage startup risk is bounded at the downside. You shut down your company, maybe you lose money or eat some opportunity cost, and maybe you decide to start again or not.
The upside is you build a generational company. There is no boundary to the upside in early-stage startup risk.
Few decisions in life have this type of payoff structure.
By conventional logic, leaving a stable job at Microsoft to bootstrap a startup in Romania was risky. By the logic of asymmetric outcomes, it was the rational decision.
Daniel’s view was that founders should swing as hard as they possibly can, which inevitably involves sacrifice, because the expected value of swinging hard is almost always higher than founders realize. They overestimate the severity of the downside, even if they accurately perceive the magnitude of the upside.
Under-commitment carries more risk than over-commitment, so go as hard as you possibly can.
Your People Are Your Company
A lesson I particularly carry with me in my new role as an operator is the importance of recruiting. Not just your team, but everyone from your board members to your lawyers and bankers. The people you bring close to your company will determine its trajectory.
On hiring, the common mistake Daniel cautioned against was hiring for a resume. Don’t get tempted by the allure of a name-brand company at the expense of focusing on culture fit.
There’s a reflex startups often have once they get into a certain phase of growth to bring in senior executives because they look like they know what they’re doing. There’s a truth to this, but taken to the extreme it results in bringing on people who are optimized for a different type of work environment, one with structure, process, and predictability. Startups have none of those things. The result is friction and misalignment instead of building at maximum velocity.
Daniel’s advice was to hire for chemistry, culture fit, and stage-relevant experience first, with raw IQ as a secondary consideration. Don’t be swayed by resumes or big-name company experience.
On board construction, Daniel’s framing was that most founders treat the board as oversight, something between a report card and a performance review. Daniel saw it differently. At Series A and Series B, a great board member is often the most experienced person in the room. They’ve seen more cycles, more failure modes, and more competitive dynamics. Founders should treat them as a resource, and make sure to get people who are 110% invested rather than people who attend board meetings to check a box.
On lawyers, bankers, and other service providers, Daniel would often tell our founders that the gap between best and above-average is bigger than the gap between above-average and average. Founders who optimize for cost on these inputs are making a mistake. The cost of messing up a financing, acquisition, or term sheet negotiation far outweighs the higher fee. When it comes to service providers, you get what you pay for.
Building in Flow State
If persistence was the operating model that got Daniel through the search for product-market fit, flow state was the model that got him through hyper-growth at UiPath.
What do I mean by flow state? Daniel would use a sports analogy. When a soccer player steps up for a penalty kick, or a basketball player shoots a 3-pointer, they have to be in a state of flow. They have to execute on instinct, and can’t overthink every move.
But flow state only works if you’ve laid the foundation, the practice that makes your instincts trustworthy. For startups, that foundation is the set of systems, processes, and principles that drive the operating model. Once they’re in place, work within them and trust your gut.
During UiPath’s hyper-growth years, the company quadrupled ARR in a single year, from $45M to $175M. Many of his advisors told Daniel his financial plan was too aggressive. Daniel didn’t overthink it, he got it done.
The same instinct cut the other way when the foundation lagged. The year UiPath set out to triple ARR from $175M to $600M, it burned $400M and ultimately cut 10% of the company.
Another example Daniel had from this framework was setting quota for the sales organization. He would often describe the balancing act of setting quota. Set it too low and you’ll overpay the sales team, including reps who aren’t performing at a truly high level. Set it too high and too many reps will miss, which drags down the morale of the sales team and spills over to the entire company. Reps need to maximize potential while hitting the company’s targets.
To get a startup in a state of flow, build the systems and then trust them to carry you forward.
Raising and Taking Chips Off
On capital, Daniel would give founders two key pieces of advice: raise when you can, and be smart about when to take money off the table.
First, on fundraising. When markets are willing, use the opportunity to raise even if you don’t strictly need to. A strong balance sheet and a cash position that can last years is an advantage. The worst position is needing money when it’s unclear whether the market is willing to give it. Your terms will reflect it.
Second, on founders selling secondary. In an era where founders take secondary at the Series A and the best companies raise a dozen rounds of venture capital, many of which include secondary, this advice might seem outdated. Those dynamics are partly a product of the current frothiness of the market, but Daniel’s advice is timeless.
His view is that concentrated existential risk clouds judgment. And sound judgment is what takes a company from $10M in ARR to billions. There is a long list of things that can destroy a company, from competition to a macro downturn to a regulatory shift to cultural decay.
UiPath raised $1.3 billion in its 2021 IPO. But between their Series B and that IPO, there was a leadership transition, COVID (which almost killed the company), and the $400M burn year. Plenty of companies that hit a billion-dollar valuation never made it to that kind of liquidity event, and the failure modes were rarely visible in advance.
Founders are told their equity is the whole bet. But the fear of making the wrong decision and losing everything when you stand to make generational wealth can become a liability. It contaminates decision-making at exactly the moments when clear thinking matters most.
A VC can stomach a zero because they holds dozens of positions. A founder holds one.
Taking secondary buys mental clarity, the ability to keep building with conviction and a risk-on mindset.
The Importance of Being a Student of the Game
Watching Daniel navigate the last couple of years may have been the most impactful lesson of all.
UiPath was the dominant player in enterprise automation with a $40B market cap post-IPO in 2021.
In the years since, the automation market has been upended by AI and the promise that AI agents will automate routine tasks with a flexibility and accuracy no deterministic software can match.
Daniel has leaned into that, embedding AI into UiPath’s product portfolio and providing its customers with a mix of deterministic and agentic automation capabilities.
But more impactful on me than the company’s product changes was watching Daniel’s behavior and mindset.
The easiest way for me to both close a deal and conduct technical due diligence on an AI investment was to introduce the founder to Daniel. There were times when Daniel would ask a founder to pull up their code base and explain how they architected a particular feature or function. The best founders would react with gleeful excitement, getting to show a legendary founder the depths of their product, something they wouldn’t get in a typical VC meeting.
He was able to go toe to toe with every AI founder - even the cracked 22 year old engineers raising multi-tranched 9-figure rounds pre-product - because he is a builder and a tinkerer at heart, the most important traits for staying ahead of the curve in the AI era.
He maintained a beginner’s mindset as a true student of the game. With every new model launch or architectural advancement, he kept up because he made the time to.
Twenty years in, Daniel was still the most curious person in the room. That, more than any single piece of advice, is what I carry with me.
Markets shift, technology turns over, and product-market fit has to be found more than once. Stay standing, stay curious, and when the glimmer of light appears, get on the plane.