Essay - Published: 2023.11.15 | business | create | startups |
DISCLOSURE: If you buy through affiliate links, I may earn a small commission. (disclosures)
Most startups fail (usually calculated at ~90%). A common cause is founders / builders spending lots of time and money building something only to release it and find out it's not valuable:
We've previously discussed several ways to mitigate this build trap and how Focusing on Impact can prevent wasted resources across many dimensions.
In this post we're going to be exploring a useful mental model for startups and how we can leverage it to avoid sinking resources into bad startup ideas in the first place.
This post is inspired by the mining metaphors from this post: Don't Build a Mine Before You Struck Gold
The core metaphor is to think of startups like a gold mining expedition:
Thinking about it this way, there are two core phases required for the Expedition to successfully extract the Gold:
Thinking about it this way, it's pretty obvious that if we dig in a spot where there isn't Gold, we won't get any. Worse yet, Mining is quite expensive if we want to do it efficiently. But if we Mine efficiently where there isn't Gold, all we're doing is wasting our resources more efficiently.
Mining is expensive because:
Yet this is commonly what startups do. They find a spot and build a Mine. But there may not be any Gold there so it's destined to fail!
How do we avoid this? In the same way that we would avoid building a Mine where there isn't Gold.
To find a good Mining spot, try to fail fast / cheap by invalidating sites that don't seem promising with the cheapest checks. If it passes, we move on to more expensive / more rigorous tests.

Survey potential sites - based on land features / what you know, you may be able to pick some sites with higher probabilities of containing Gold

Sample those sites for Gold - We still need to check if they have Gold. Sample the ground with a few small, deep holes and estimate what the opportunity is for the site.

Mine with measured expansion, validating against estimates - Even if a site is promising, it may still be a dud. We balance our need to avoid ruin and want to maximize upside through measured expansion of our mine - validating results against estimates and course correcting as we go.
Even if we do this right, we're bound to come across a lot of duds and even start small mines at several duds. But that's reality - there's a lot we just don't know and thus we have to test it to find out what's there. This process is not easy / cheap but it does limit the amount of resources we invest in these duds, allowing us to get to non duds faster and with more resources available.
So how can we apply this to the land of startups?
In the same way that most Mining sites won't contain Gold, most Startup Ideas won't be very good. But it's also true that we can't really know if a given Site / idea is good / bad until we test it. We can (and should) utilize data to estimate the potential of a Site / Market / idea to remove those that are very likely bad but we can't really tell which are very likely good.
So we need to test these Sites / Ideas to see how good they are. The faster / cheaper we can do this, the more likely it is we'll find a good one and still have the resources available to Mine it.
Timing the market is v hard.
— Hamilton Greene (@SIRHAMY) October 29, 2023
Your best bet is to make small bets over time to increase your surface area for luck while avoiding ruin.
Good small bets:
* The world needs (and will pay for) it
* You enjoy the work / are interested in the area
* You are good at it https://t.co/D164LIqcEW
This process of measured expansion is what I call the Creation Cycle (Observe, Create, Reflect loop) and has been explained in many forms (like the Build-Measure-Learn loop from The Lean Startup).
In the end, building a Startup (like Mining) is a game of odds. Our best bet is to make many small bets to validate opportunities before investing. Once we decide to invest, we should still iterate sustainably with conscious Creation Cycles to maximize returns while minimizing risk of ruin.
If you liked this post, you might be interested in:
The best way to support my work is to like / comment / share for the algorithm and subscribe for future updates.