Analysis
I've been an early-stage investor through two prior downturns, and every cycle produces some version of the argument that this time bootstrapping makes more sense than raising -- but the case Richard de Silva of Lateral Investment Management makes in Crunchbase's reporting is the first one in a while I think actually holds up structurally, not just as a countercyclical talking point.
De Silva's core claim is that AI has genuinely lowered the cost of building and validating a product -- work that previously required millions of dollars and a team of engineers can now happen with a small team and code-generation tools, compressing the capital needed to reach product-market fit. That's a different claim than 'bootstrapping is virtuous,' which VCs like me have heard for years without much changing behavior. If it's actually cheaper to build and test a real product now, the calculus for a founder deciding whether to raise a priced round shifts in a way that's mechanically true, not just philosophically appealing.
“That's a different claim than 'bootstrapping is virtuous,' which VCs like me have heard for years without much changing behavior.”
The founder profile de Silva describes for bootstrapping is also a useful contrast to what VC-backed blitzscaling optimizes for. Venture capital has structurally favored young founders willing to take on massive risk for a shot at outsized returns -- what de Silva calls fueling 'the dreams of college dropouts' -- while bootstrapped companies more often come from mid-career operators with existing domain expertise and, critically, existing customer relationships they can sell into on day one rather than building demand from zero. Atlassian and Basecamp are the standard bootstrapped-success reference points, and the newer example cited -- Medvi, described as a one-person GLP-1 vendor generating $1 billion in revenue -- is the kind of AI-era outlier that would have been structurally impossible to build without a large team before generative tools existed.
Room for disagreement: the examples that prove this thesis loudest -- a one-person company doing $1 billion in revenue -- are precisely the extreme outliers, not the median outcome, and de Silva's own framing acknowledges VC-backed companies like Stripe and Cursor remain the exception that keeps venture capital's return math working. Most bootstrapped businesses still top out well below venture scale specifically because they lack the capital to buy market share fast in categories where speed determines the winner, and AI lowering build costs doesn't change categories where distribution, not product development, is the actual bottleneck -- consumer marketplaces and anything requiring expensive customer acquisition still benefit enormously from a large war chest.
What I take from this as an angel is narrower than 'bootstrapping wins': it's that the AI-era cost curve has genuinely expanded the set of businesses that can reach meaningful revenue without institutional capital, which means the deals crossing my desk asking for a first check increasingly need to explain why they need the money at all rather than assuming the need is self-evident. That's a healthier question for founders to have to answer than it was three years ago.
