I believe the core driver behind $MASK recent rally is not simply that it is riding the privacy sector’s momentum. HuAXPyDWDaMYFKuwQHpqL1oPnj93zdzWmtvFGzCeCUa7 Rather, it has turned a familiar but historically difficult-to-use need into a straightforward product story: no need to switch wallets or change existing habits, just one click to bring privacy to on-chain transactions. This is exactly what distinguishes it from many privacy projects that exist primarily as concepts. The market is not just buying keywords like ZK and private payments. It is betting on whether MASK can turn complex privacy technology into a tool that ordinary users are actually willing to use. Looking at the recent price action, MASK started gaining momentum in late September and surged rapidly, with its market cap briefly exceeding $35M in early October. According to recent market reports, its October 2 rally coincided with a broader recovery in the privacy sector, with the token gaining more than 70% in a single day alongside a significant increase in trading volume. At the same time, one of MASK’s major liquidity pools uses a ZEC/MASK trading pair, creating a more direct connection to Zcash’s privacy narrative. But what interests me more is this: What expectations is this rally actually pricing in? Can Nullmask’s product development support further valuation growth? First, the privacy narrative has regained market attention. Privacy has always been a long-standing need in crypto, but it does not become a market narrative that attracts capital in every cycle. Compared with AI, DeFi, or Memes, privacy products are often harder to promote through short-term metrics and user stories. The recent recovery in attention toward the privacy sector has created a favorable market environment for MASK. Its product positioning is also relatively clear: transaction privacy across wallets and tokens, rather than a single feature built around one specific privacy asset. As capital starts looking for opportunities in the privacy sector again, a small-cap project like Nullmask, with an easy-to-understand concept and a clear product direction, naturally becomes more likely to attract traders’ attention. However, sector momentum can explain why capital starts paying attention to MASK, but it cannot fully explain why the token deserves a higher valuation. What really gives it differentiated upside potential is its product narrative. Second, the one-click privacy experience creates a much larger potential user base in the market’s imagination. MASK’s website emphasizes a core experience: users can continue using their existing wallets without creating new accounts or managing additional seed phrases, while protecting transaction privacy through a browser extension or application. The project aims to support native tokens, regular tokens, and NFTs, with plans to expand into multichain privacy, programmable privacy, and automated privacy workflows. The appeal of this narrative lies in its attempt to solve a long-standing problem with privacy tools: the technology may be advanced, but users are often unwilling to accept high operational costs just to gain privacy. If MASK can truly deliver a low-friction, low-cost, and reliable experience, its potential audience would extend beyond Zcash users to a much broader base of on-chain wallet users. That would significantly expand the market’s expectations for its potential user base. But it is important to distinguish between product vision and capabilities that have actually been delivered. The multichain expansion, automated workflows, and programmable privacy described on the website do not mean these features are all fully operational today. The market can price in the future ahead of time, but the fundamentals still need to be verified one by one. Third, the ZEC/MASK trading pair strengthens its connection to the privacy sector. MASK has a relatively unusual liquidity structure. Recent market data suggests that a considerable portion of its liquidity is concentrated in the ZEC/MASK trading pair, rather than relying entirely on SOL or stablecoin pairs. This is not merely a trading decision. It also influences how the market perceives the token. ZEC is one of the most representative assets in the privacy sector. When MASK forms a direct trading pair with ZEC, the market is more likely to compare it with other privacy-sector projects rather than treat it as an ordinary Solana Meme. If the privacy sector continues to strengthen, this positioning could help MASK attract additional attention and capital inflows. However, a trading pair does not automatically create demand. What really matters is whether more users and capital are willing to build sustained trading activity and use cases around MASK. Fourth, early capital and trader participation amplified price discovery. When a newly launched token has a relatively small market cap and limited liquidity, capital inflows can have a significant impact on its price. Recent tracking data showed that MASK started from a market cap of around $1.6M and subsequently recorded a rally of nearly 20x. Some tracked wallets continued buying as the price climbed. This kind of trading structure can attract more short-term traders and further accelerate price discovery. However, on-chain tracking data only reflects the behavior of specific wallet samples. It does not represent the entire market, nor does it prove that every purchase was made with a long-term holding strategy. I would interpret it this way: early capital provided the conditions for the initial move, while the privacy narrative and product story gave subsequent buyers reasons to keep entering. So what is the market really betting on now? I think MASK’s current trading thesis can be divided into three layers. The first is continued capital inflows into the privacy sector. As long as the market remains willing to pay a premium for privacy infrastructure, MASK has an opportunity to benefit from sector rotation. The second is whether MASK can become a more accessible entry point for privacy. Assets like Zcash have already demonstrated that demand for privacy exists. But Nullmask is trying to solve a different problem: giving users transaction privacy without requiring them to change their existing wallet habits. If that experience works, its potential audience could be much broader than that of a single privacy asset. The third, and most ambitious, expectation is that privacy could evolve from a standalone feature into a default capability for on-chain applications. If DeFi trading, asset management, cross-chain transfers, and even financial interactions between AI Agents eventually need to take place without exposing complete transaction relationships, privacy could evolve from a niche requirement into an infrastructure-level demand. MASK’s product direction aligns with this trend. However, this remains a long-term market assumption and should not be confused with user growth that has already materialized. As for the fundamentals, my assessment is that the product positioning is attractive, but fundamental execution remains at an early stage. Compared with Memes that rely purely on cultural symbols or community momentum, MASK at least has a clear product direction and identifiable use cases. Its website already provides access to its application and browser extension, along with a product roadmap covering existing wallets, one-click privacy, low fees, and future multichain expansion. This gives the project a foundation for further validating its product value. However, I would not say that its fundamentals have already strengthened significantly. The reason is simple: what we can currently confirm is its product positioning and some available product entry points, not large-scale adoption. What I most want to see is not more feature descriptions on the website, but actual users, real transactions, repeat usage, and evidence that its privacy mechanisms work reliably. Trust is especially important for privacy products. If users cannot be confident about asset control, transaction privacy, and contract security, even a simple user experience may not be enough to establish long-term usage habits. Therefore, my current assessment of MASK’s fundamentals is that its narrative and product direction are attractive, product development has made some progress, but adoption metrics and long-term economic value remain insufficiently validated. This is very different from a project that already has stable revenue or a clearly established token value-capture mechanism. At this stage, MASK’s price still depends heavily on the market’s expectations for the product’s future scale. Now, the question everyone is interested in is: What catalysts could drive further upside? 1. Real user growth for the one-click privacy feature This is the most important validation point in my view. If we start seeing sustained growth in active wallets, privacy transactions, and repeat usage, the market will have a reason to shift from trading a product concept to pricing actual adoption. What matters most is whether the privacy feature can genuinely serve ordinary users’ everyday transactions, rather than only a small group of early adopters who are already familiar with privacy tools. 2. Actual delivery of multichain functionality The website has already listed multichain privacy as a future direction, mentioning plans to expand through proxy-based functionality to networks such as Solana and Bitcoin. If verifiable multichain support becomes available and the privacy experience remains consistent across networks, MASK’s potential market could expand further. However, multichain expansion also introduces greater technical complexity. For me, actual usability and security matter far more than the number of supported chains. 3. The launch of automated privacy workflows MASK’s long-term potential is not limited to hiding a single transfer. It could also automate privacy-related transaction processes, such as swaps, cross-chain transfers, and routing. If these capabilities are eventually delivered, users will no longer need to research how to protect privacy at every step. The product could evolve from a standalone tool into privacy infrastructure that users rely on continuously. Such updates could attract renewed market attention, but whether they translate into token demand will still depend on actual usage and the token’s economic design. 4. Further expansion of the privacy sector and broader market attention for MASK If privacy assets such as ZEC continue to strengthen, capital may start looking for smaller privacy projects that have not yet reached the same valuation levels. MASK’s relationship with ZEC through its trading pair, combined with its clear privacy positioning, could make it one of the candidates during sector rotation. However, this type of upside is highly dependent on market conditions. If the privacy sector cools down, MASK could lose an important source of external momentum. The biggest risk is that the price has already moved ahead of product validation. First, the valuation may have already priced in too much of the product’s future growth. MASK has rapidly climbed from an early low market cap to a valuation in the tens of millions. At this stage, a large part of what the market is buying is future expectations. If product adoption does not grow at the same pace, the valuation could face a reassessment. Second, concentrated token ownership makes the price vulnerable to large holders. The top ten wallets hold approximately 53.4% of the supply, with the largest single wallet accounting for nearly 39%. These figures may be affected by how exchange wallets, liquidity accounts, and address ownership are classified, but they are still enough to warrant attention to the token’s holder structure. With relatively limited liquidity, selling by large holders could create significant price pressure. Even if the project’s narrative remains unchanged, the price could experience a sharp pullback as a result of token distribution. Third, transaction fees and the liquidity structure could increase trading costs. The token has a 3% transfer fee, and part of its liquidity is concentrated among a limited number of liquidity providers. This means traders need to pay attention not only to price movements, but also to actual trading costs, liquidity depth, and the impact of large orders on price. Especially during a rapid downturn, the market cap shown on a chart does not represent the amount of capital holders could actually withdraw at anything close to the current price. Fourth, privacy products carry security and regulatory risks. The core value of privacy tools is protecting transaction information, but this also exposes them to technical scrutiny, changing regulatory policies, and trust-related challenges. If a security vulnerability emerges, assets become inaccessible, or the product’s privacy claims fail to match its actual performance, the damage could extend far beyond a short-term price decline. At the same time, the more complex the cross-chain privacy and automation systems become, the greater the security burden they must bear. Fifth, the narrative may be stronger than the token’s actual value capture. This is one of the easiest aspects for the market to overlook. If Nullmask’s product succeeds, it could certainly generate user demand. But product success does not mean MASK will necessarily capture an equivalent amount of value. We still need to understand what role the token actually plays in product usage, fee payments, protocol revenue, or other economic mechanisms. If the token lacks a clear value-capture path, then even if the product develops successfully, its valuation may still depend primarily on market expectations. If the one-click privacy feature attracts real users, multichain capabilities are gradually delivered, trading liquidity continues to improve, and the privacy sector remains strong, MASK could still have room for another valuation expansion. But if the price continues making new highs while product usage data shows little improvement, the rally will look increasingly like speculative expansion driven by attention, capital rotation, and expectations. Once the sector cools down or early holders begin selling, the risk of a sharp pullback will rise quickly. So I will focus on three signals from here: Whether MASK sees sustained growth in real privacy transactions and active users. Whether product features move from roadmap descriptions to stable, verifiable capabilities. Whether MASK’s liquidity and holder structure improve, and whether the token can establish a clearer value-capture mechanism. My view on MASK is that it has a sufficiently intuitive product entry point and has entered the market at a time when the privacy sector is regaining attention. But right now, the market is more willing to pay for its potential user base than for proven commercial value. What will truly determine MASK’s next stage of growth is not how big a privacy narrative it can tell, but whether it can turn “one-click privacy” into a habit that users adopt consistently. If that transition happens, MASK could evolve from a privacy-narrative rally into a privacy infrastructure project worth following over the long term. Otherwise, it will remain a trade highly sensitive to sector momentum and market expectations. Chart: web3.okx.com/ul/BMqCQch?ref=…

What makes $MASK worth paying attention to, beyond the privacy narrative, is whether it can turn protocol revenue into demand for the token. HuAXPyDWDaMYFKuwQHpqL1oPnj93zdzWmtvFGzCeCUa7 NullMask has already deployed across multiple networks, supports private transfers, swaps, and cross-chain asset transfers, and has begun generating actual protocol fees. At the same time, the team has announced buybacks and burns of MASK funded by protocol revenue. This makes it different from tokens that rely purely on the privacy narrative. What matters more to me is how much of this revenue comes from genuine product demand, and whether that demand can consistently translate into buying pressure for MASK. NullMask addresses a straightforward problem: transactions on public blockchains can be traced, potentially exposing users' fund flows, transaction timing, and parts of their holdings. It offers features such as private balance pools, private swaps, and withdrawals, while expanding asset transfer capabilities through cross-chain integrations. According to the screenshots you provided, NullMask has expanded to Ethereum, Base, BNB Chain, and Robinhood Chain, and has extended its cross-chain capabilities through NEAR Intents. The significance of this approach is that it lowers the barrier to adoption. Users do not need to learn an entirely separate set of complicated procedures to gain privacy. Instead, they can use these features during deposits, swaps, and cross-chain transfers. If privacy becomes part of everyday transactions, NullMask could address a much broader range of on-chain asset management needs rather than serving only a niche audience. However, support for multiple chains does not mean every chain offers exactly the same privacy capabilities. Cross-chain execution also depends on external protocols and infrastructure, while deposits and withdrawals may still leave publicly visible records that can be analyzed. Therefore, NullMask provides enhanced transaction privacy, not absolute anonymity. NullMask previously recorded approximately $179.8K in fees over seven days on DeFiLlama. A subsequent public data snapshot showed approximately $215.9K over seven days and around $834K in fees over 30 days. On the surface, these are impressive figures for a privacy protocol that is still expanding. However, DeFiLlama's methodology includes the flow of ZEC rewards paid by MASK on Solana to a team wallet. This is not entirely equivalent to the fees users actually pay for privacy services. Based on the relevant breakdown by chain, approximately $683K of the past 30 days' reported fees came from this reward flow, while fees across Ethereum, Robinhood Chain, Base, and BNB Chain totaled approximately $151K. These two figures represent different things. The former reflects a fund flow associated with the token reward mechanism, while the latter more closely reflects fees generated through product activity across other networks. We cannot treat all reported fees as service fees paid by external users, nor can we simply multiply the total by 12 to derive a stable annual revenue figure. Even so, the fact that actual fees are being generated across multiple networks remains an early signal worth watching. The next question is whether product usage can continue growing and whether protocol revenue can maintain that growth after excluding the token reward flow. MASK's Value Capture Depends on Whether Two Mechanisms Can Operate Sustainably At present, MASK's token economics have two distinct components worth examining. The first is holder rewards. MASK's transfer mechanism directs a portion of fees toward ZEC rewards, which are distributed according to eligible holdings. This gives holders a potential additional source of returns, but the rewards depend on actual transfer activity, the applicable rules, and asset prices. They are not a fixed or guaranteed return. The second is protocol revenue-funded buybacks and burns. The NullMask team has announced protocol fee revenue generated during the early days after mainnet launch, along with records of using the relevant funds to buy and burn MASK. The screenshots you provided also show the corresponding on-chain burn transactions. This is the part I believe deserves closer attention. If users continue using the privacy product, the protocol consistently collects fees, and a designated portion of those fees is used for buybacks and burns, product growth could translate into sustained demand for the token. Burned tokens are removed from circulation, creating a measurable change on the supply side. However, buybacks should not be evaluated based on announcements alone. We need to verify the actual amount spent, the number of tokens purchased, whether the burns occurred, and whether figures reported in different announcements overlap. StonkFun's buyback flywheel should also be calculated separately. Its platform buybacks must not be combined with NullMask's own buybacks. Different mechanisms correspond to different revenue sources, and only purchases and burns that actually took place should be counted toward the relevant value-capture mechanism. NullMask is also expanding its multi-chain support and introducing an early-user points program. These initiatives may accelerate user growth, but points can also attract short-term participants who are primarily interested in incentives. More importantly, publicly available data shows that TVL remains relatively low and has fluctuated significantly over short periods. This suggests that product fee activity and the amount of capital locked in the product have not yet established a sufficiently stable relationship. A decline in TVL does not necessarily mean that product demand is disappearing, just as an increase in fees does not necessarily indicate long-term user growth. What really matters is whether users continue depositing, withdrawing, and swapping assets beyond the incentive program, whether product fees continue to grow, and whether the team can translate that activity into verifiable buybacks. If future reported revenue relies primarily on token reward-related flows, the current fee performance could change rapidly once incentives weaken. In addition, privacy protocols must contend with technical security, cross-chain dependencies, and regulatory requirements. The broader the product's coverage, the more external components the overall system must trust or depend on. If the privacy mechanism itself encounters problems, or users lose confidence in the service, both revenue and token demand could be affected. At the token level, even sustained buybacks do not guarantee that the price will rise. Buyback size must be evaluated relative to the current valuation, market selling pressure, and liquidity. If the market valuation grows faster than the protocol's buyback capacity, the mechanism may provide only limited price support. I believe MASK has a product foundation worth studying. NullMask is not relying solely on a privacy narrative. It has expanded across multiple networks, generated product fees, and established holder reward and buyback-and-burn mechanisms. However, the most important questions remain unanswered: Can the product generate sufficient sustainable revenue after excluding reward-related flows, and can that revenue be consistently converted into actual MASK purchases and burns? If genuine user demand continues growing, protocol revenue stabilizes, and the buyback mechanism is repeatedly validated through on-chain data, MASK could evolve from a token driven by early attention into an asset supported by actual product demand. Conversely, if reported revenue relies primarily on incentive-related fund flows while TVL and user retention fail to improve, the growth reflected in current data may be more fragile than it appears. For me, the most important metric when evaluating MASK is not how many tokens have already been burned, but whether NullMask can consistently earn money from users who are willing to pay for privacy services and convert a portion of that revenue into sustained demand for MASK. That will determine whether its buyback mechanism is merely a design intended to attract market attention or a value-capture mechanism capable of operating over the long term. Chart: web3.okx.com/ul/ORKaEHR?ref=…

A few hours ago, we analyzed $MASK, and now I want to take another look at it. HuAXPyDWDaMYFKuwQHpqL1oPnj93zdzWmtvFGzCeCUa7 What is actually worth paying attention to is whether MASK can become a multi-chain privacy infrastructure. I believe the story is no longer just about the privacy sector regaining market attention. MASK is attempting to embed privacy features into multi-chain transaction flows and then use protocol revenue to buy back and burn tokens, passing some of the business value back to the token. This is more interesting than simply telling a privacy narrative. The core challenge facing privacy protocols has never been just whether the technology can work. It is also about whether users have a strong enough demand for it and whether the product can be integrated into their everyday transactions. MASK has chosen to integrate private transfers, swaps, and cross-chain asset transfers into existing on-chain workflows. Users do not have to completely change their habits to gain privacy. They have the opportunity to obtain additional privacy protection while depositing, swapping, and transferring assets across chains. MASK has now expanded to Ethereum, Base, BNB Chain, and Robinhood Chain, while extending its cross-chain capabilities through NEAR Intents. These developments make me more interested in whether it can evolve from a standalone privacy application into infrastructure that other wallets, trading applications, and cross-chain products can integrate. The commercial potential of these two positions is entirely different. If users have to seek out MASK themselves, its growth will depend primarily on its own user acquisition. But if other applications are willing to integrate it into their existing workflows, MASK could reach users who would not otherwise actively seek out privacy tools. Privacy services could become part of the transaction process rather than a standalone product that users have to learn to use. What I am more bullish on is the distribution potential that comes with widespread integration of privacy capabilities, not just the valuation of the privacy sector itself. Of course, deployment across multiple chains does not mean every chain offers exactly the same level of privacy. Deposits and withdrawals may still leave public records, and cross-chain functionality also depends on external protocols. Whether MASK can strike a sustainable balance between security, privacy experience, and regulatory requirements will remain an important factor in its long-term development. The revenue data is worth paying attention to, but we need to understand where it actually comes from. MASK has previously displayed some eye-catching fee figures on DeFiLlama. In the public data snapshots, seven-day fees reached approximately $215,900, while the 30-day figure was around $834,000. These numbers naturally attract market attention for a protocol that is still expanding. The key for MASK is turning product revenue into sustained demand for the token. MASK currently has two mechanisms that need to be distinguished. The first is holder rewards. MASK's transfer mechanism allocates part of the fees to ZEC rewards, providing additional returns to eligible holders. However, these rewards depend on actual transfer activity, distribution rules, and the price of ZEC. They are not fixed returns. The second is protocol revenue buybacks and burns. The team has previously announced purchases and burns of MASK funded by protocol fees and provided corresponding on-chain transactions as evidence. In my view, the latter is the part of this token economy that deserves closer long-term attention. If the product continues to generate genuine service revenue and the protocol uses an agreed portion of that revenue for buybacks and burns, product growth could translate into actual buying demand for MASK. As tokens are burned, the circulating supply would also decrease accordingly. But buybacks cannot be evaluated based on announcements alone. We need to track how much money was actually spent, how many tokens were purchased and burned, and how significant the buybacks are relative to the market valuation. At the same time, StonkFun's buyback flywheel must be calculated separately. Platform buybacks should not be mixed together with buybacks conducted by Mask itself. Different mechanisms have different sources of funding, and only purchases and burns that actually take place should count toward the corresponding value capture. There is another distinction that is often overlooked: the fact that a product generates revenue does not mean that revenue automatically belongs to token holders. MASK holders cannot directly redeem the assets in the Community Vault, nor does holding MASK give them a claim on NVIDIA stock or all of the platform's revenue. For this reason, I would not treat the dollar value of the community reserves as a valuation floor for MASK. What really needs to be verified is whether protocol revenue can be sustained and whether buybacks are substantial enough to create meaningful token demand at the current valuation. The long-term scenario that interests me most is one in which Mask no longer relies solely on its own frontend to acquire users. Instead, through cross-chain integrations and adoption by external applications, privacy transactions could become a basic capability offered by more on-chain products. Early points programs can help the team attract users, but they can also bring in short-term participants whose primary motivation is earning rewards. Rather than focusing on how many people use the product during the incentive period, I want to know whether users will still be willing to pay for privacy once those incentives are reduced. Likewise, short-term changes in TVL cannot independently determine whether the product is succeeding or failing. A protocol can generate transaction fees without needing to lock up large amounts of assets for extended periods. We need to evaluate actual user retention, product fees, and buyback records together rather than drawing conclusions from a single metric. If Mask continues expanding its integrations, establishes a more stable stream of actual service revenue, and consistently converts part of that revenue into MASK buybacks and burns, the business model will become increasingly clear: application integrations bring in users, user activity generates fees, and those fees create token demand. Conversely, if genuine service revenue remains limited, growth depends primarily on incentive-related fund flows, and buybacks are too small to affect token supply and demand, then even a booming privacy sector may not be enough to support MASK's long-term valuation. Token holder concentration, liquidity, and the technical security of the privacy protocol also need to be monitored. Even if the product develops well, concentrated token supply entering the market or a security incident could still put substantial pressure on the price. So, in my view, the core question worth researching is not whether MASK can gain in price during a short-term privacy rally. It is whether Mask can evolve from an application that provides privacy features into multi-chain privacy infrastructure used by a broader range of products. It has already demonstrated cross-chain expansion, actual product fees, and a buyback-and-burn mechanism. These provide a foundation worth tracking. But the most important validation still lies ahead: after excluding incentive-related fund flows, can user payments continue to grow, and can that revenue genuinely generate sustained buying demand for MASK? For me, the investment thesis for MASK only truly works when product demand and token value capture both hold up. The privacy sector can attract attention, and application integrations can expand its market. But sustained genuine revenue and verifiable buybacks will ultimately determine how far this thesis can go. Chart: web3.okx.com/ul/hmuLnA9?ref=…

$Nothing 485k dyor 51SfaAyrYaR8FpibXT4TXtxEpnZSNoDwYVRojtKupump okx wallet:web3.okx.com/ul/J9l8Awo?ref=… The token originates from the February 11, 2026, U.S. House Financial Services Committee oversight hearing on the SEC. The witness was SEC Chairman Paul Atkins. Representative Josh Gottheimer mentioned that the founder of SafeMoon had just been sentenced, and that new services like pumpfun make it very easy to issue tokens "backed by absolutely nothing." He then directly asked Atkins: "You and I are concerned about these tokens backed by nothing, like these pumpfun type things? I guess this isn't what the SEC wants, right?" Atkins replied: "Absolutely." Gottheimer later added that they need to prevent scammers and speculators from pushing this kind of thing online.

If RH Chain’s liquidity continues to improve, I’ll be keeping a close eye on six projects: $Pons, $AI (Long), $FRONG (Pools), $HOOKR, $DELTA, and $INDEX (The Index). They occupy different parts of the ecosystem: token launches, stock-token and meme trading, liquidity retention, programmable trading mechanisms, LP capital management, and the use of trading fees to purchase stock tokens and distribute them to holders. Since this is the second wave of the market, much of the excess speculation has already faded. I believe the projects worth researching this time are not necessarily the ones with the strongest ecosystem narratives, but those capable of turning new capital into sustained trading activity, protocol revenue, or token demand. The key to determining who benefits most is not whose narrative attracts the most attention, but where the new liquidity ultimately gets deployed, which projects capture that activity, and who can turn trading into revenue. Pons is one of the first projects I’ll be watching. It is directly involved in token launches and trading, so increased activity in the new-token market could drive more launches, higher trading volume, and greater fee revenue. Its upside is tied to the broader new-token market, not just a single trending token. But I care more about the quality of that volume. If growth is driven mainly by short-term speculation, launches and trading activity could cool off quickly once the hype fades. Pons’ business growth only becomes meaningful if trading activity can generate consistent revenue. As for the PONS token, its revenue distribution and value-capture mechanisms need to be reassessed independently this time. Long has a different angle. It brings stock tokens into meme trading pairs, allowing users to create pools around stock tokens such as NVDA, AAPL, and TSLA. If stock-token liquidity on RH Chain continues to improve, this design could connect the two markets: stock tokens provide the trading pairs, while meme trading brings additional demand. Long is not just competing for new token launches; it is also trying to connect stock-token markets with speculative trading. Whether this thesis works depends on the actual depth and sustained volume of its stock-paired pools, not simply the number of stock tokens it supports. Also, in our previous research posts, we noted that Long has largely been building around AI, so I believe AI deserves attention as well. Pools is worth examining from the perspective of liquidity retention. It uses mechanisms such as automatic LP fee reinvestment to keep trading-generated returns within liquidity pools. If new-token launches on RH Chain increase, this design could help build deeper pools and improve subsequent trading conditions. Compared with platforms that primarily rely on launch volume and fee revenue, the more important question for Pools is whether it can keep liquidity in its pools rather than losing it when short-term hype fades. Another reason to watch it is that the more protocol revenue Pools generates, the more value FRONG can capture. HOOKR’s opportunity lies in trading mechanisms. It allows projects to configure features such as dynamic fees, Anti-Snipe, Auto Burn, and LP Rewards through Uniswap v4 Hooks. As on-chain assets and trading activity grow, projects may increasingly seek more flexible fee distribution and trading rules. If more projects adopt these modules, HOOKR could evolve from a launch tool into infrastructure that other projects use. However, its revenue model deserves close attention. HOOKR takes a share of fees generated by eligible Hook Blocks rather than directly collecting base LP trading fees. Rising trading volume on RH Chain therefore does not guarantee proportional revenue growth for HOOKR. What matters is how many external projects adopt its modules and which modules can consistently generate fees. Next is Delta. Unlike the projects above, its thesis is not based on launching more tokens, but on LPs’ demand for capital efficiency and liquidity management tools. As on-chain capital grows, LPs may need better ways to allocate positions, manage concentrated liquidity, and earn trading fees. This creates a potential use case for Delta. However, if capital only flows into meme pools for short-term speculation without creating sustained LP demand, Delta may not benefit significantly from the increase in liquidity. INDEX is another project worth adding to the watchlist because its mechanism differs from those of the other five. According to its published mechanism, INDEX trades incur a 3% fee in ETH. That ETH is used to purchase a basket of stock tokens, which are then distributed to eligible holders according to the relevant rules. The stock tokens involved include AAPL, NVDA, and TSLA. This means that if INDEX maintains active trading, its fee pool could grow, potentially increasing the stock-token rewards received by holders. It connects the RH Chain stock-token market directly to its own trading activity rather than relying solely on a meme narrative. There are important distinctions, however. These rewards come from trading fees, not dividends paid by the underlying companies. Nor does INDEX rely on fee-funded buybacks and burns to create deflationary pressure. If trading volume declines, rewards may fall as well, while the relatively high trading fee could discourage some activity. The focus should therefore be on actual fees collected, stock tokens purchased, and distributions made—not on assuming that the reward mechanism automatically translates into token appreciation. If RH Chain’s growth is driven primarily by new-token and meme markets, I would prioritize Pons and Long. If new launches increase and liquidity begins to accumulate in pools more sustainably, Pools deserves attention. Rising demand for customized trading mechanisms could create an opportunity for HOOKR, while sustained growth in LP capital-management needs would be the main driver for Delta. INDEX follows a different path: its key variable is not the number of launches, but whether its own trading activity can consistently generate fees and convert them into actual stock-token purchases and holder rewards. I would not treat these six projects as a single basket of RH Chain beta. Each benefits from different capital flows, and their token value-capture mechanisms are not the same. In particular, even if a project without its own token experiences business growth, that does not automatically create an investment opportunity in a token. What I ultimately want to see is sustained capital inflows into RH Chain, improving market depth, and corresponding growth in these projects’ trading volume, user demand, and actual revenue. Liquidity is only the starting point. What determines the real beneficiaries is who can turn it into sustainable economic activity.