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Startups: Most Advice Comes From the People It Worked For

by ·July 24, 2026·9 min read·Business & Strategy
इस निबंध का पूरा हिंदी अनुवाद अभी तैयार नहीं है — नीचे का लेख अंग्रेज़ी में है। चित्रों के लेबल और साइट का बाकी हिस्सा हिंदी में दिख रहा है।

Almost all startup advice has a problem that is rarely acknowledged: it is assembled from the people it worked for.

Read interviews with founders of successful companies and you will find recurring themes — persistence, bold bets, refusing to listen to doubters, moving fast. These are real. They also describe an enormous number of founders whose companies no longer exist, and who are not being interviewed.

This is survivorship bias operating at industrial scale, and it makes most of the genre unreliable. A trait only explains success if it is rarer among the failures, and for most of the celebrated startup virtues, it isn't.

So it is worth approaching the subject differently: not "what do winners have in common?" but "what is structurally true about this kind of company?"

Effort does not separate the two groupsStartups thatfailmost of themFounders whoworked hardalso most ofthem
Figure 1.Almost everyone who fails also worked extremely hard. Since effort is present in both groups, it cannot be the explanation for the difference — which means advice built on it is not really advice.

What a startup actually is

The useful definition is narrow. A startup is not simply a new business — a new restaurant or consultancy is a new business, and it is a different thing.

A startup is an organisation searching for a repeatable business model under high uncertainty. That framing does a lot of work, because it says the core problem is discovery, not execution.

A new restaurant is largely an execution problem. The model is understood: buy ingredients, cook, serve, charge more than it cost. The risks are real but known, and success depends on doing familiar things well.

A startup usually does not yet know who the customer is, what they will pay for, or whether the thing is even wanted. The plan is a set of guesses. Most of the early work is finding out which guesses were wrong while that is still cheap.

Three consequences follow directly.

Speed matters more than polish, early. Not because rushing is good, but because each iteration converts a guess into information. A team learning weekly outpaces one learning quarterly, regardless of who is smarter.

Being wrong is the normal state, not a failure. If you knew the answers you would not need to search. The measurable failure is being wrong slowly and expensively.

Small and working beats large and planned. This is Gall's Law applied to companies: complex things that work grow from simple things that worked. A product serving ten people genuinely well is further along than a comprehensive plan serving nobody.

The route that reliably ends somewhereBuild something small thatworksfor a few real usersLearn what they actuallyneedusually not what you assumedExtend, keep it workingrepeat many times
Figure 2.Startups are usually solving a discovery problem rather than an execution problem. The plan is a guess; the point of building is to find out which parts of the guess were wrong while it is still cheap.

The real advantage small companies have

The usual answer is "agility," which is vague enough to mean nothing. The concrete version is narrower.

A small team can change its mind between two Tuesdays. A large organisation needs a quarter to schedule the meeting where the change gets rejected. That difference compounds: a company converging on the right answer weekly will get there long before one converging quarterly, even with far fewer resources.

Attached to that is a second structural advantage, which is the whole basis of the Innovator's Dilemma: a startup can pursue opportunities that are rationally uninteresting to a large incumbent. A market worth a few crore is a rounding error to a big company and a foundation to a small one. Incumbents are not ignoring these markets through stupidity; their cost structure genuinely cannot serve them profitably.

The corresponding danger is importing large-company habits too early. Layers of approval, quarterly planning, consensus roadmaps, extensive process — each is a small tax on the only real advantage a startup has. Most of these arrive with good intentions, usually after a mistake that the process would have prevented, and the cure is frequently worse than the disease.

What venture funding is actually forDoes it need capital up front?Fund it yourselfVenture fitsA good business,wrong fundingBank loanterritoryCould it be huge?
Figure 3.Venture money is designed for a specific shape: needs capital before revenue, and could plausibly become enormous. A solid business that will never be enormous is not a failure — it is simply the wrong fit for that money.

Funding, honestly

Venture capital is treated as the default path, and for most businesses it is the wrong one. Understanding why requires understanding what that money is for.

Venture funds operate on a power law: most investments return little or nothing, and the fund's entire performance depends on a small number of enormous outcomes. That maths dictates behaviour. A fund cannot be satisfied with a company that becomes solidly profitable at moderate size, because such companies cannot return a fund. They need each investment to have a plausible path to being very large.

So venture money fits a specific shape: needs capital before revenue, and could plausibly become enormous. If both are true, it is often the only realistic option. If either is false, taking it creates a mismatch — you will be pushed toward growth rates and risks that suit the fund's mathematics rather than your business.

A profitable company growing steadily is a good outcome for a founder and a poor one for a venture portfolio. Neither party is behaving badly; their objectives genuinely differ. This is a straightforward principal-agent situation, and it is far better understood before signing than discovered afterwards.

The unglamorous alternative — funding growth from revenue — is available to more businesses than the coverage suggests, and it keeps the decisions with the person living with the consequences.

The honest summary

Most startups fail, and the failures are not mostly explained by insufficient effort or insufficient belief. They are explained by building something people did not want badly enough to pay for, running out of money before finding out, or entering a market where the economics never worked at any level of skill.

Which is oddly encouraging, because those are addressable in a way that "not being visionary enough" is not. Talk to potential customers before building. Keep the burn low enough to be wrong several times. Check whether the market is large enough to matter before assuming it is. Notice quickly when the answer is no.

None of that is inspiring. It is considerably more useful than the interviews.

Dr Nadeem Khudboddin Shaikh
Dr Nadeem Khudboddin Shaikh
Ex–Wells Fargo · Ex–Goldman Sachs · Columbia University alumnus