Ci-dessous, un lien vers un « roman » à lire de Paul Graham, l’homme dont la longueur des articles me décourageait trop souvent pour les lires jusqu’à ce que j’aie mon combo iphone+instapaper  Merci à M. Morin pour la référence à l’article. Ceci dit, le premier 1/3 est loin d’être aussi intéressant que les 2 derniers selon mon humble avis

We usually advise startups to pick a growth rate they think they can hit, and then just try to hit it every week. The key word here is « just. » If they decide to grow at 7% a week and they hit that number, they’re successful for that week. There’s nothing more they need to do. But if they don’t hit it, they’ve failed in the only thing that mattered, and should be correspondingly alarmed.

Programmers will recognize what we’re doing here. We’re turning starting a startup into an optimization problem. And anyone who has tried optimizing code knows how wonderfully effective that sort of narrow focus can be. Optimizing code means taking an existing program and changing it to use less of something, usually time or memory. You don’t have to think about what the program should do, just make it faster. For most programmers this is very satisfying work. The narrow focus makes it a sort of puzzle, and you’re generally surprised how fast you can solve it.

Focusing on hitting a growth rate reduces the otherwise bewilderingly multifarious problem of starting a startup to a single problem. You can use that target growth rate to make all your decisions for you; anything that gets you the growth you need is ipso facto right. Should you spend two days at a conference? Should you hire another programmer? Should you focus more on marketing? Should you spend time courting some big customer? Should you add x feature? Whatever gets you your target growth rate.

It’s not just that if you want to succeed in some domain, you have to understand the forces driving it. Understanding growth is what starting a startup consists of. What you’re really doing (and to the dismay of some observers, all you’re really doing) when you start a startup is committing to solve a harder type of problem than ordinary businesses do. You’re committing to search for one of the rare ideas that generates rapid growth. Because these ideas are so valuable, finding one is hard. The startup is the embodiment of your discoveries so far. Starting a startup is thus very much like deciding to be a research scientist: you’re not committing to solve any specific problem; you don’t know for sure which problems are soluble; but you’re committing to try to discover something no one knew before. A startup founder is in effect an economic research scientist. Most don’t discover anything that remarkable, but some discover relativity.

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