Jakarta, Pintu News – The crypto world presented another unique phenomenon in April 2026, where a number of tokens with absurd concepts attracted billions of dollars in funding. Four projects-(FARTCOIN), (SLERF), (QUANT), and (USELESS)-are clear examples of how crypto markets often move beyond fundamental logic.
While it may sound like an April Fool’s joke, the entire project actually exists, was launched on the blockchain, and had a significant valuation before taking a nosedive.

Fartcoin (FARTCOIN) was born out of AI chatbot humor and quickly reached a market capitalization of $2.5 billion. It even grew faster than Dogecoin in its early phase.
However, by April 2026, the value had fallen about 93% from its peak, showing how speculative hype-based projects without strong fundamentals can be.
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SLERF is an extreme example of a technical glitch. The developers accidentally burned through the entire $10 million presale fund.
Instead of falling, the token’s price soared due to the viral effect and speculation, even recording a trading volume of up to $2.5 billion in 24 hours. However, in the end, the token also dropped almost 99.7% from its peak.
QUANT token was launched by a 13-year-old teenager who did a rug pull in just minutes, earning around $30,000.
Ironically, the community then “revenge pumped” the market capitalization to $35 million. This case led to doxxing and ethical controversy in the crypto community.

USELESS may be the most honest project-with no roadmap, no utility, and no promises.
Nevertheless, the token reached a market capitalization of $450 million and was still hovering around tens of millions of dollars in 2026. This shows that even transparency does not guarantee market rationality.
These four cases show the same pattern:
The data also shows that about 98.6% of new tokens end up as failed or pump-and-dump projects.
This absurd token phenomenon confirms that the crypto market is still highly speculative and not always rational. Investors need to do thorough due diligence, including understanding the team, utility, token distribution, and risks before investing.
In many cases, risk information is readily available – the challenge is whether investors actually pay attention to it before making a decision.
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