What are the most common business model mistakes that quietly kill early startups?
The short answer
The recurring killers: negative unit economics disguised by growth, buying revenue through discounts you can't sustain, depending on one channel or one big customer, and picking a model where value and payment never line up. Most of these look fine on a growth chart and only show up when the funding or the discounts stop. The fix isn't cleverness, it's checking early whether the money math survives without a subsidy.
Go deeper, your way
3 hand-picked resources, 3 link-checked. Pick how you want to dig in.
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Why we picked it
Michael Seibel ran Y Combinator and has watched roughly 70 percent of companies that raise on demo day never find real product-market fit, so his list of what kills them is postmortem-grade and concrete. He names the quiet ones first: fake product-market fit and building the company (hiring, offices, process) before you have built a product people want. Treat it as a checklist to run against your own startup, not a set of rules.
Why we picked it
Bill Gurley, a Benchmark partner who watched a decade of overfunded startups up close, wrote the definitive takedown of the money-flow self-deception that quietly kills companies: teams that hide behind gross merchandise value or bookings, call themselves "unit profitable" when they have merely stopped being gross-margin negative, and let burn rates run 5 to 10x sane levels. It is a starting point for stress-testing your own numbers, not a verdict on any one model. Written in 2016 but the traps are timeless.
Why we picked it
This is the India-specific companion to the theory: a plain accounting of 25 Indian startups that folded in 2025, with the actual reasons (capital crunch, weak unit economics, losses that outran revenue growth, an inability to raise the next round). It makes the growth-at-any-cost and discount-driven trap concrete with names like Otipy, BharatAgri, and Blip. Useful for founders building in India who want to see how these mistakes play out here, not just in a Silicon Valley essay.
Capital crunch was the visible trigger for nearly every shutdown, but the root causes were weak unit economics and models that only worked while funding was cheap.
Growth can hide a broken model: Otipy grew revenue 68 percent while posting INR 52 Cr in losses, and still could not raise.
Building outside a single metro is not a free pass either, some startups (Blip) folded because they could not fund expansion beyond one city before the money ran out.
