[D’s Market #187 ⭐️⭐️⭐️] When Alpha Becomes Entry Cost

--

Press enter or click to view image in full size

In this piece, I’m using the term alpha in a narrow sense: an advantage that helps me see, understand, or act better than the rest of the group competing for the same opportunity.

With that understanding, something that was once alpha won’t always remain alpha.

An early piece of information can be alpha. A wallet worth tracking can be alpha. A good data set, a strategy for hunting airdrops, a way to read capital flows before the crowd calls it out can also be alpha.

But only as long as it still creates a differential.

Something starts resembling an entrance fee when without it I’m at a disadvantage, but even with it I’m still not winning. It’s still useful. It should still be used. But it no longer creates a gap like it did initially.

Alpha doesn’t necessarily die by becoming useless. Many alphas die a slow death. Or rather, they don’t die. They change roles.

When few people know, it creates a gap.

When many people in the same competitive group know, it raises the overall baseline.

When almost every serious player has to have it, it becomes the minimum requirement to not be left behind.

Tracking smart wallets is an obvious example.

In the early stages, if you know how to track a few good wallets, you can see capital flows before the crowd. You can see which tokens are being accumulated. Which systems are being focused on. Which groups are rotating capital. The advantage lies in the fact that those signals haven’t been read by many yet.

But when many people have wallets tracked, alerts set, wallets listed, and know how to filter large transactions, the easy parts of the advantage become widespread. Tools are still useful. Without them, I’m slower. But having them no longer guarantees I’m faster.

At that point, alpha is no longer about having data.

It shifts to another layer: knowing which wallets are trustworthy, which signals are noise, which capital flows might be distorted by mimic trading, and when to act or ignore.

What gets rewarded isn’t absolute skill. What gets rewarded is the remaining edge over others.

Mauboussin touches on this layer in the paradox of skill. In activities involving both skill and luck, as general skill level increases and skill gaps narrow, the role of luck in observed outcomes can become more pronounced. Wharton summarizes his point as: when skills improve, especially in competitive markets, luck may become more important in the final outcomes.

I’m not saying crypto is exactly like sports or fund management.

I’m borrowing a mechanism: when many people improve at the same level, the rewards for excelling in that level can thin out.

This mechanism is worth using in crypto at layers with public tools, easily replicable signals, and rewards contested by many.

If many people in the same competitive group have better on-chain data tools, the tools don’t vanish. But the reward for just ‘having tools’ diminishes.

If many people are using AI to summarize, scan news, and evaluate projects in similar ways, AI isn’t useless. But that common use makes it hard to maintain a distinct advantage.

If many people know how to hunt airdrops using the same action list, airdrops don’t disappear. But the reward for just taking the basic steps will be divided more thinly.

Buffett once described a similar mechanism in his Berkshire letter in 1985 when reflecting on the textile industry. Many investments in new machinery could make sense individually, as they reduce costs. But when many competitors invest together, lower costs become the new industry baseline, while profits remain weak.

That’s the trap of relative advantage.

One person raising the standard can be better than others. If the entire industry raises the standard, the new standard might only become the condition to still compete.

In crypto, this is evident in places with public information, rapidly spreading tools, and easily replicable strategies.

Hunting airdrops is a very clear example.

In the early season, early movers have an edge because few are optimizing. They understand what the project needs. They use the product early. They take risks early. They invest time early. And they can be rewarded for showing up before the crowd arrives.

In the next season, the game changes.

Users know projects can reward them. Projects know users are hunting for rewards. Wallet creation tools are better. Sybil filters are better. Airdrop hunters are more professional. Action lists spread faster.

The same behavior now requires more capital, more wallets, more effort, and more patience. But the expected reward may be thinner.

It’s not necessarily useless. But it’s no longer alpha in its original sense.

It’s more like an entrance fee: if you don’t act, you don’t have a ticket; if you do, you still might not have an edge.

No one is wrong for doing those things. Airdrop hunters aren’t wrong for learning how to do better. Traders aren’t wrong for using better tools. Investors aren’t wrong for reading data faster. Researchers aren’t wrong for using AI to aggregate sources faster.

Mistakes only begin when you think those right actions still create the same gap as when fewer people knew.

An alpha starts sliding into an entrance fee when several signs appear together.

It can easily be turned into a checklist.

It’s easily replicable with public tools.

The number of people doing the same thing grows faster than the rewards can be split.

The cost to maintain it rises, while the added benefits thin out.

When these signs come together, players still have reasons to act. But we must call it what it is. They’re no longer buying an advantage. They’re paying a fee to not fall behind the new baseline.

A new baseline doesn’t mean alpha is dead.

Public knowledge doesn’t automatically devalue an advantage. There are things everyone knows but few do correctly. There are data points everyone sees but few weigh appropriately. There are very old principles that still severely penalize those who overlook them. Risk management is one example. Token unlock schedules are another. Knowing isn’t enough to create an advantage, but not knowing or not acting can still lead to severe penalties.

So, the boundary isn’t simply about ‘how many people know.’

It lies in where the difficult part of alpha still exists.

If the hard part is simply knowing early, its lifespan could be short.

If the hard part is executing correctly, enduring pain, having good infrastructure, proper capital, a reliable network, unique speed, or better noise filtering, it becomes more sustainable.

This is the polite trap of smart folks in crypto.

It doesn’t appear as a dumb mistake. It manifests in very correct actions: learning faster, using better tools, reading data better, doing many things a serious person should do.

The trap lies in not realizing those correct actions have changed roles.

What once helped me win may have become something that just keeps me in the game.

The hardest part is probably not finding alpha.

The harder part is realizing when the alpha I’m proud of has silently changed status.

From advantage to entrance fee.