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David Jorj's avatar

The debug is great but now sure in a world of uncertainty 0.01 growth can be guaranteed long term. That’s the hard part. I guess experimentation can help with getting close to a compounding effect overall but how do we make sure the debug leads to the results?

It seems similar to “reflection”, “retro”, or other things known but not guarantee. I also wonder if there’s an element of “fooled by randomness” in there.

I am curious what the hyper growth have or do that truly differentiate them

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TW's avatar

Brilliant.

I wonder if a reason founders make task lists is because they don't understand the problem space. Not the "problem space" of "Ulqr: the app for reconciling currency transactions for your commodities exchange!" But more like, "What is the universe of Stuff attached to this problem, which we need to have some idea of in order to figure out what the biggest blocker/needle-mover is?"

Might also explain why second-time founders tend to do better overall--they do have some idea of *that* problem space. Presumably there are some big continuities no matter your vertical or your market model or whatever. Where's the guide to those?

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