A specific type of startup story is underrepresented. The slower myth is the one that starts with a graduate student squinting at a spreadsheet at two in the morning, certain that their pivot will save the company even though no one has yet used the product. This is not the garage myth or the dorm room legend. Seldom do these stories appear on the front page. However, it’s difficult to ignore how many multimillion-dollar businesses can be traced back to something tiny, academic, and almost embarrassingly modest when observing the venture world over the past few years.
Although most people don’t remember the name, Confinity is the canonical example. In 1998, the founders began attempting, of all things, to assist executives in using a PalmPilot to access corporate systems. Corporate purchasers shrugged. The group made several changes before settling on the digital wallet that would later become PayPal. Now it’s a neat origin story, but the reality is more complicated. Doubt, half-formed bets, and the uncomfortable task of telling investors why the product they had funded the previous quarter was no longer available characterized those early reorientations.
For years, Harvard Business School researchers have been attempting to figure out why some of these pivots succeed while others silently fail. In their 2019 study, Rory McDonald and Cheng Gao contended that survival is more dependent on how founders justify the change, stage it, and prevent early adherents from feeling deceived than on the pivot itself. It’s a nuanced point. However, the cost of mishandling that moment is evident to anyone who has witnessed a startup lose its early evangelists.
However, there is a tension here that is rarely discussed. Experimentation can be overdone, according to a different line of research, such as a 2022 computational study by Chen, Elfenbein, Posen, and Wang. The model demonstrates that founders who change course too quickly frequently perform worse than those who stick with their original concept for a little while longer. This finding defies the conventional wisdom in Silicon Valley, which adores the Lean Startup playbook. However, it is true. It takes a lot of energy to pivot. It wastes time, money, and trust.
It’s intriguing how frequently academic work itself serves as the seed. My friend who teaches at a research university frequently remarks that the hallway outside her lab is lined with whiteboards covered in equations that could become businesses with a little bit of luck and a few obstinate graduate students. Most won’t. A few will. And before its founders are old enough to be eligible for a mortgage without a co-signer, one of them might be worth hundreds of millions of dollars.
It appears that investors believe this pattern more than they acknowledge. Particularly in the fields of biotech, AI infrastructure, and materials science, venture funds have subtly increased their exposure to university spinouts. It appears that the next viable concept is more likely to originate from a lab than from a consumer app. It’s still unclear if that’s accurate. The money invested in deep-tech startups doesn’t always result in profits, and the timelines are so long that even patient funds are put to the test.
Nevertheless, observing this from the sidelines gives the impression that something has changed. Something more subdued, methodical, and grounded in real research is replacing the romance of the dorm-room founder. Academic experiments don’t always turn into unicorns. The majority don’t. However, those that do typically follow the same awkward trajectory: a modest concept, an agonizing change of direction, an obstinate founder, and a few patient investors. Nobody can say with certainty whether that model will continue for the next ten years.
