What BOME actually is

BOME is a Solana SPL meme token whose “product” claim is simple: the token points at a meme archive concept, not a fee-generating protocol. The official project copy frames BOOK OF MEME as an experiment combining memes, decentralized storage (Arweave and IPFS), and meme trading culture, with the “book” itself linked via token metadata in the presale page copy.

That framing matters for tokenomics. You are not modeling cash flows from an application, validator rewards from an appchain, or a staking yield funded by fees. You are modeling a fixed-supply asset that rides Solana’s security and fee market, plus the social coordination of a memecoin community.

The “book” and tools do exist as web properties. One version of the project site lists meme tools, a Dune dashboard link, and also publishes canonical identifiers like the Solana mint address and bridged token contract addresses on other chains.

Supply, allocations, and issuance reality

On live market data aggregators, BOME is effectively fully circulating today. CoinGecko reports Total Supply = Max Supply = Circulating Supply: 68,999,659,569 BOME in its live supply data.

In the original project presale page hosted on Arweave, the stated design target is a slightly different round number: Total Supply: 69,000,000,420 BOME, paired with a three-bucket allocation plan and no mention of ongoing emissions.

I am not going to hand-wave that discrepancy. The clean read is that the project’s initial narrative supply target and the tracked on-chain/market supply snapshot differ by ~340,851 BOME. The docs do not explain the delta in the text that is publicly visible on the presale page, so treat the allocation table below as “design intent,” and use on-chain holder and liquidity concentration metrics to reason about realized risk. If you want a refresher on how supply terms are typically defined, the tokenomics FAQ may help.

The token’s issuance posture is the bright spot: third-party on-chain scanning reports that the mint authority and freeze authority have been revoked. That is the minimum viable “can’t mint more, can’t freeze holders” baseline for an SPL meme asset.

Stated allocations on the official presale page:

Those percentages, the 3-month unlock note, and the 69,000,000,420 design supply are all stated directly in the presale page copy. The token amounts shown above are straightforward arithmetic implied by that page.

Utility, fees, burns/mints, and fiscal flows

The most important “utility” statement in the official materials is not a protocol mechanic. It is a content mechanic. The project claims the token metadata will be mutable so the book can be updated with new memes and images over time. That is explicitly described as a feature, not a bug.

From a token economy perspective, this has a sharp implication. If the token’s primary “product binding” is metadata and off-chain content pointers, then the token’s value support is social, not contractual. There is no documented fee that users pay in BOME to access the book. There is no documented burn funded by protocol revenue. There is no documented emission stream that incentivizes any security function. The public docs that are easy to verify simply do not describe those mechanics.

What does exist are very specific presale operating instructions. The presale page provides a SOL address for contributions, states there is no exact presale price, and says presale tokens will be allocated by percentage of contribution over a 24-hour window. It also states the plan to create 1 or 2 liquidity pools after the airdrop at a higher starting price per BOME.

On-chain “fiscal flows” that matter today are basically Solana fees. When you trade or transfer BOME on Solana, the fees are paid in SOL, not in BOME. Solana’s base transaction fee is split such that 50% is burned and 50% goes to the block-producing validator in the fee structure docs.

Cross-chain representations exist, and they introduce extra surfaces that are not tokenomics in the narrow sense but absolutely change risk. If you want a comparison case for how bridging changes trust surfaces, our bridge risk breakdown in Wormhole is a useful reference.

Governance and control surfaces

BOME does not present itself, in its primary presale documentation, as a governed system with formal parameter control. The Arweave presale page describes allocations, a presale process, and an intent to keep updating distribution lists on X during the presale. It does not define a DAO, a proposal process, quorum rules, timelocks, or any on-chain governance program.

Instead, the practical “governance” question is privilege and mutability. Two points matter:

1) Mint and freeze authorities. Third-party token scans commonly flag whether mint authority and freeze authority are revoked for SPL assets.

Freeze authority is not theoretical on Solana. The Solana token docs describe that only the freeze authority can freeze token accounts, and if freeze authority is revoked (set to null) then tokens can never be frozen under the freeze authority rules.

2) Metadata mutability. The presale page explicitly says “TOKEN METADATA WILL BE MUTABLE” so the book can be updated.

Security-budget people tend to underrate metadata. They should not. Mutable metadata can be used responsibly to ship content. It can also be abused to confuse tickers, wallets, and explorers. This does not let anyone mint more BOME if mint authority is gone. It does create an ongoing reliance on whoever controls the metadata update path to behave.

Security budget lens: BOME inherits Solana, and that matters

BOME is not a sovereign network. It does not run its own validator set. It does not pay out block rewards in BOME. So the “security budget” question is indirect: does BOME activity strengthen Solana’s security budget enough to matter, and is that security budget sustainable?

Solana’s security budget comes primarily from SOL inflation and fees paid in SOL, which go to validators and stakers. Solana’s staking documentation describes the originally proposed inflation schedule parameters as: initial inflation rate 8%, dis-inflation rate −15%, and long-term inflation rate 1.5%.

That architecture creates an uncomfortable but clean conclusion for BOME holders. BOME can be wildly successful as a meme asset and still contribute almost nothing to the part of the system that matters most for censorship resistance and liveness: the validator P&L. If BOME trading is mostly a reshuffling of ownership on DEXs, it produces fees, yes. But it does not create a durable “application fee stream” that can be redirected to security the way appchains or fee-sharing protocols can.

As a security budget maximalist, I treat “no emissions” as neither good nor bad in isolation. For a token like BOME, “no emissions” mostly means “no budget.” No protocol budget for liquidity incentives. No protocol budget for content moderation, storage sponsorship, or builder retention. The network security is outsourced to Solana, and the token economics do not replace that with any internal security loop. The result is a token that is structurally simple and hard to debase via inflation, but also hard to defend via fundamentals when attention fades.

For contrast, a token with an explicit emission-and-staking loop is Mina; the emission-funded design review shows how different that security-budget framing can be.

Past the baseline authority checks, the security story becomes market structure. Who controls liquidity. Who holds supply. Whether off-chain control points can be abused. If you want a one-line summary: BOME does not need an emission schedule to be “sustainable,” because it is not sustaining a network. It does need a market structure that is hard to rug, because that is the only real defense it has.

Risk analysis

Dominant risk: Liquidity and holder centralization, because it directly controls exit conditions.

CertiK’s token scan flags three related red lights that matter more than any narrative about meme archives. First, Top 20 holders hold 81.08% of supply. Second, the largest LP holder controls 99.97% of liquidity (and it is flagged as unburnt). Third, the scan flags the token metadata as mutable.

This is the mechanical failure mode for fixed-supply memecoins on high-throughput chains. If liquidity is effectively controlled by one actor, “market cap” becomes a screenshot, not a guarantee of executable liquidity. Price discovery can look continuous on a chart while real exits are discontinuous in practice. When sell pressure spikes, the controller of LP can choose whether the pool absorbs flow, widens spreads, or disappears.

Who bears that risk? Late entrants, passive holders, and anyone who is forced to cross the spread during volatility. The liquidity controller bears almost none of it. They hold the option. Everyone else holds the exposure.

Why is this the dominant risk for BOME specifically? Because BOME has no internal counterweight. No protocol revenue to buy liquidity. No inflation budget to incentivize deeper pools. No mandatory fee that can be routed into LP over time. If the LP is concentrated and discretionary, the token has no endogenous way to improve that property. The best case is social pressure or voluntary transparency. The worst case is an always-on rug option that never needs to be exercised to distort behavior.

The market can tolerate a lot of “meme” in exchange for credible exit. It cannot tolerate uncertainty about whether exit is allowed. On Solana, the technical “honeypot” vectors are often about authorities. Here, mint and freeze authorities are reported revoked, which is good.

But liquidity control is the higher-order honeypot. You do not need a freeze function to trap capital if you can remove depth. That is why I rank this above “mutable metadata.” Mutable metadata can mislead. Liquidity control can zero out practical value for anyone who is not early.

Measurable indicators are straightforward: LP holder concentration, percent of supply pooled in DEX liquidity, top holder ratios, and whether large wallets are net distributing into rallies. Token scans and on-chain dashboards already give you baseline values for several of these.

Top 3 risks

  1. Trigger: a volatility event or attention shock that drives one-way sell flow. Mechanism: liquidity is effectively discretionary if the “largest LP holder controls 99.97% of liquidity,” so the pool can fail to clear at anything close to quoted price. Who bears it: holders who need to exit and LP takers crossing widening spreads. Measurable indicators: LP holder concentration and DEX liquidity depth.
  2. Trigger: renewed distribution by large holders into a rally. Mechanism: high supply concentration amplifies reflexivity, since “Top 20 holders hold 81.08% of supply,” making price impact and coordination risk structurally high even with no new issuance. Who bears it: marginal buyers and passive holders who get diluted by selling pressure rather than inflation. Measurable indicators: top holder ratio, whale netflows, and exchange inflows during pumps.
  3. Trigger: loss of trust in “the book” update path or a spoofing wave that exploits mutable identifiers. Mechanism: the presale page states “TOKEN METADATA WILL BE MUTABLE,” which creates an ongoing reliance on whoever can update metadata, even if balances are safe. Who bears it: new users, integrators, and wallets/explorers that surface metadata as identity. Measurable indicators: metadata update events, sudden changes in token presentation across explorers, and user reports of confusion around canonical links.

If you are evaluating BOME as an asset, you are mostly evaluating market structure, not a protocol. If you are building around it, you are taking on all the hard problems that tokenomics usually solves with fees or emissions, without the budget those mechanisms provide. In practice, that means you need unusually strong operational transparency to offset the lack of an endogenous security and incentive loop.

If you want a second opinion on designing or stress-testing a meme asset’s distribution, control surfaces, and liquidity strategy, this is exactly the kind of tokenomics consulting and serious reviews of token economy design components that are supposed to catch issues early, before concentration becomes destiny.



This article is part of our Tokenomics Deep Dive series.