Why the First Cycle Is the Last Easy Cycle

Darren LI

Hatched by Darren LI

May 19, 2026

11 min read

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The hidden variable nobody wants to price in

What if the most important question in a crypto market is not whether a project is good, but whether it is still allowed to be expensive?

That sounds harsh, even unfair. But markets are not morality contests. They are machines that convert time, supply, and belief into price. And in crypto, price is often less about what something is worth than about how much room it has left to become worth something in the minds of others.

This is why two projects can look equally exciting on the surface and yet behave completely differently in the market. One may have a tiny circulating supply today but a massive amount of future issuance. Another may already have most of its tokens in the hands of holders, with little left to surprise the market. One can still climb because the market is not done discovering it. The other can still be a strong product, but its valuation path is no longer riding the same wave of revaluation.

The deeper tension is this: in crypto, the price of conviction is time, and the price of time is dilution.


Supply is not a number, it is a schedule

Most people think about token supply as if it were a static fact, like the number of seats in a stadium. But tokens are not seats. They are more like water flowing into the stadium while the game is already underway. What matters is not just how much water exists in total, but where it is now, where it will be later, and how quickly it arrives.

That is why supply analysis should start with three questions:

  1. How much of the supply is already circulating?
  2. How much is still locked, vested, or otherwise waiting to enter the market?
  3. At what speed will that future supply arrive?

These three variables shape the real burden on price. If only a small fraction of the eventual supply is circulating, the market is effectively trading in anticipation of a much larger future float. That means the asset may need to grow far faster just to keep its current price level stable as new tokens unlock.

A simple example makes the point clear. Suppose a token’s market cap is only 10 percent of its fully diluted value, and the remaining 90 percent of tokens will be released over the next year. That price is standing on a moving floor. To hold steady, the project has to expand dramatically, because new supply is constantly weighing on the same price base.

Now compare that with a token whose market cap is already 25 percent of FDV, and whose remaining supply is spread over four years. The dilution pressure is gentler. The market does not need a miraculous explosion in demand. It needs a steady, plausible expansion in attention, usage, and conviction.

The real question is not what the token is worth today. It is whether the market can grow fast enough to outrun the supply that is still coming.

This is why supply is fundamentally a story about time. It tells you how long the market has to believe before belief is taxed by issuance.


Why first cycles get away with valuation excess

Now add another layer: not every asset category gets to be expensive forever in the same way. The first great cycle of a new category is often the only time it can enjoy truly extreme valuation compression and expansion.

That sounds paradoxical until you notice what first cycles really are. They are not just price rallies. They are category formation events. In the first cycle, the market is not merely re-rating a known asset. It is discovering that the asset exists at all, deciding what bucket to place it in, and testing how large that bucket might become.

When a category is new, there is no settled framework for valuing it. The market uses narrative as scaffolding. It asks: Is this money? Is this software? Is this a commodity? Is this a platform? Is this a new monetary primitive? Each answer implies a different ceiling. In the absence of history, investors project potential into a vacuum, and vacuums are where bubbles grow.

But once a category has survived one full cycle, the illusion of infinite open space disappears. The market now has memory. It has seen the boom, the crash, the disillusionment, and the second attempt. That memory changes the distribution of belief. Future upside is still possible, sometimes even enormous, but the easy multiplication of capital becomes rarer because the market now knows the trick.

A second or third cycle asset is not starting from zero. It is starting from precedent.

This is why the same asset can be technologically stronger in a later cycle and still fail to produce the same price performance. The problem is not quality. The problem is valuation regime change. The first cycle is when the market pays for imagination. Later cycles pay for proof, and proof is always more expensive to buy.

Think of it like cinema. The first superhero movie in a new universe can be judged mostly on novelty. Audiences are willing to pay just to see what this thing is. By the fourth sequel, the audience wants narrative coherence, emotional depth, and sustained world-building. The bar is higher because the category is no longer mysterious. Crypto tokens behave the same way. The first burst of category-wide euphoria is often the most generous one the market will ever offer.


The intersection: supply pressure meets cycle memory

The most important insight appears when these two ideas are combined.

Supply analysis tells you how much future selling or dilution the market must absorb. Cycle analysis tells you how much future revaluation the market is likely to grant. Put differently, one tells you the headwind, the other tells you the wind.

A token with heavy upcoming unlocks may still perform well if it is in the first great wave of its category. The market might be willing to pay through dilution because it believes the entire asset class is being born in real time. But a token in a mature category, with the same unlock schedule, faces a much harsher setup. It is not just fighting dilution. It is fighting a market that has already seen similar promises before.

That combination is brutal.

Imagine two companies that both sell the same product. Company A is the first of its kind in a brand new industry. Investors are not just buying revenue, they are buying the possibility that the market itself will expand tenfold. Company B launches after the category is already familiar, crowded, and poorly differentiated. Even if Company B is operationally stronger, it must now compete on much less forgiving terms.

Crypto tokens inherit the same asymmetry. The first cycle can absorb almost absurd expectations because it is still building the map. Later cycles inherit the map and the skepticism that comes with it. So if supply is the tax on future conviction, then cycle maturity is the tax on future imagination.

This creates a useful mental model:

Token price is a function of three forces:

  • Current utility, what the token does now
  • Future supply, how many tokens are still coming
  • Category novelty, how much the market still believes it is early

When category novelty is high, the market can tolerate more supply pressure. When novelty is low, even moderate unlocks can become a valuation trap. This is why some tokens feel like they are constantly swimming upstream. They are not necessarily bad assets. They are just late to a party that is no longer in the mood for miracles.


A practical way to think about upside: the belief runway

Most investors ask the wrong question. They ask, “Is this token cheap?” But cheap relative to what? Without a view on supply path and cycle position, cheap is just a feeling.

A better question is: How much belief runway does this asset still have before reality starts charging rent?

Belief runway is the amount of time the market can keep assigning a generous narrative before supply, competition, or fatigue forces the narrative to prove itself. It is not infinite. In fact, it shortens in two ways at once:

  • As more tokens unlock, the market must work harder to maintain price
  • As a category matures, the market becomes less willing to pay for the same story

This is why the best opportunities are often not the assets with the most exciting promises, but the ones whose schedule of reality and schedule of belief are reasonably aligned.

Consider three hypothetical tokens:

  • Token A: 5 percent circulating, 95 percent still locked, unlocks mostly over 12 months, launched in a category that already had one euphoric cycle
  • Token B: 40 percent circulating, gradual unlocks over 3 years, in a category still forming its identity
  • Token C: 80 percent circulating, minimal future dilution, but in a sector the market has already priced and re-priced many times

Token A may have the highest narrative excitement, but it also faces the harshest math and the least forgiving market memory. Token C may be the cleanest structurally, but its upside is likely bounded by category saturation. Token B often sits in the sweet spot: enough scarcity to support price, enough time for conviction to build, and enough category growth for the story to still matter.

That does not mean Token B is automatically the best investment. It means the market conditions are least hostile to compounding.

The ideal token is not the one with the biggest story. It is the one whose supply schedule and category phase still leave room for belief to compound faster than dilution erodes it.


What disciplined investors actually look for

Once you internalize this framework, analysis becomes less about excitement and more about survivability.

The first thing to check is the gap between market cap and FDV. A huge gap can signal opportunity, but it can also signal hidden future pressure. If most of the tokens are not yet circulating, the current price may be flattering only because the denominator has not arrived.

Second, look at unlock speed, not just unlock size. A large future supply released slowly can be manageable. A smaller supply dumped quickly can be toxic. Markets do not simply respond to totals. They respond to pacing.

Third, ask whether the category is still in its first discovery phase or already in narrative exhaustion. Early in a category, the market may forgive weak fundamentals in exchange for directional optionality. Later, it becomes less forgiving. The same asset can move from being a story stock to a prove-it stock without changing its code at all.

Fourth, assess whether conviction can build quickly enough. The note that conviction takes time is crucial. Communities, institutions, and developers do not wake up one morning fully convinced. They accumulate belief in layers. If the token unlock schedule is too aggressive, the asset may be asking the market to mature faster than the market can.

That is often where projects break: not because they are fake, but because they are early in one dimension and late in another.


Key Takeaways

  1. Do not evaluate token supply as a static total. Focus on current circulation, future unlocks, and the speed of those unlocks.
  2. Compare supply pressure to category maturity. The same unlock schedule can be tolerable in a new category and punishing in a mature one.
  3. Treat first-cycle valuations as special, not normal. The market pays more for novelty in the first major cycle than in later ones.
  4. Use belief runway as a framework. Ask how long the market can keep paying for the narrative before dilution and skepticism catch up.
  5. Prefer alignment over hype. The best setups are where supply schedule, conviction-building time, and category growth all reinforce each other.

The market is not rewarding quality alone, it is rewarding sequence

The most seductive mistake in crypto is to confuse product quality with price potential. A great project can still be a mediocre investment if it enters the market with a punishing unlock schedule and in a category that has already spent its miracle. A merely decent project can outperform if it arrives when the market is still hungry, uncertain, and willing to pay for possibility.

That is uncomfortable, but it is also clarifying. It forces us to see that valuation is not only about what something is. It is about when it is, how much is left to arrive, and whether the market still believes in first impressions.

The first cycle is the last easy cycle because it is the last time the market can be seduced by raw category possibility without demanding much evidence. After that, every token lives under a heavier burden. It must not only earn attention. It must earn it while new supply enters and while the market remembers having been excited before.

So the real lesson is not pessimistic. It is more precise.

In crypto, the path to outsized returns is rarely about finding the best story. It is about finding the rare moment when supply is still manageable, conviction still has room to grow, and the category is not yet exhausted by its own history.

When you start thinking this way, you stop asking, “Will this token go up?” and start asking a better question: “How much belief can the market still afford, before the future arrives and collects its share?”

Sources

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