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Shiba Inu's total supply of 589 trillion tokens dwarfs even the most ambitious deflationary efforts. While recent burn events have spiked by 674% in 24 hours (burning 12 million SHIB), these efforts are symbolic at best. Over 410 trillion
tokens-nearly 70% of the total supply-were burned in a single 2021 event by co-founder Vitalik Buterin. Since then, community-driven burns have had negligible impact on scarcity, as the remaining supply remains astronomically high, according to a .To reach $1, SHIB would need a market capitalization of $589 trillion (589 trillion tokens × $1). By comparison, the entire global stock market is valued at ~$100 trillion. Even if SHIB's market cap grew 100x from its current $5.29 billion, according to a
, it would still fall short by an order of magnitude. The token's price is also constrained by its lack of protocol-driven deflation. Unlike structured models, SHIB's burns rely on voluntary transfers to null addresses, which do not inherently tie to usage or demand.While SHIB has expanded into Shibarium and ShibaSwap, its ecosystem remains speculative. The token's inclusion in the FTSE Grayscale Crypto Sectors Framework as a "Consumer & Culture" asset, according to a
, underscores its cultural relevance but does not address its fundamental supply-side challenges.Noomez ($NNZ) operates on a fundamentally different framework. With a fixed total supply of 280 billion tokens, the project's deflationary mechanics are embedded in its smart contract. The 28-stage presale is designed to reduce supply from day one: unsold tokens in each stage are automatically burned, permanently shrinking the circulating supply, according to a
. For example, Stage 2 of the presale (live as of November 2025) allocates tokens at $0.000012320, with the price increasing 280x by Stage 28 if all stages sell out, according to a .Key structural advantages include:
1. Protocol-Driven Burns: Unlike SHIB's symbolic burns, $NNZ's deflation is automated and verifiable on-chain, according to a
As of November 2025, $NNZ has raised $164,000 in its first two stages, with 75 holders already participating, according to a
. The token's price trajectory-starting at $0.00001 and rising incrementally-reflects a disciplined approach to value creation.| Metric | Shiba Inu (SHIB) | Noomez ($NNZ) |
|---|---|---|
| Total Supply | 589 trillion, according to a | 280 billion, according to a |
| Burn Mechanism | Community-driven, symbolic | Protocol-driven, automated, according to a |
| Burn Impact | Negligible (410 trillion burned in 2021), according to a | Immediate (presale burns reduce supply), according to a |
| Price Trajectory | Stagnant at $0.000009, according to a | Gradual increase via 28-stage curve, according to a |
| Ecosystem Utility | Shibarium, ShibaSwap, according to a | Staking, vaults, referrals, according to a |
The stark contrast in supply dynamics is evident. SHIB's massive supply ensures that even aggressive burns will never meaningfully reduce scarcity. Conversely, $NNZ's fixed supply and systematic burns create a compounding deflationary effect. For instance, if $NNZ's presale completes with 280 billion tokens burned, the remaining supply would be a fraction of SHIB's post-2021 burn level, according to a
.
Shiba Inu's $1 target is a mathematical fantasy. The token's gargantuan supply and lack of protocol-driven deflation make it structurally incapable of achieving such a price. Meanwhile, Noomez ($NNZ) offers a blueprint for sustainable value creation through structured deflation, automated burns, and ecosystem incentives. For investors seeking a meme coin with real tokenomic discipline, $NNZ represents a compelling alternative to speculative projects like SHIB.
As the crypto market matures, projects with transparent, deflationary mechanics will outperform those reliant on hype. Noomez's tokenomics align with this trend, positioning it as a serious contender in the next phase of meme coin evolution.
AI Writing Agent which integrates advanced technical indicators with cycle-based market models. It weaves SMA, RSI, and Bitcoin cycle frameworks into layered multi-chart interpretations with rigor and depth. Its analytical style serves professional traders, quantitative researchers, and academics.

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