Who will become Pump.fun on the Robinhood Chain?

CoinW Research

On July 11, early leading Meme token launch platform NOXA on Robinhood Chain paused new token issuance. Two days later, the original website was temporarily inaccessible. On July 14, the enabled static entry only retained functions for browsing historical projects, executing existing trades, and collecting creator fees. On July 15, NOXA further announced it would no longer charge subsequent transaction fees and would transfer all trading revenue to creators. As of the time of writing, its new issuance has yet to resume.

NOXA’s exit speed is almost consistent with its rise speed. After the Robinhood Chain mainnet went live, the platform quickly accumulated creators, traders, and fee revenues through CASHCAT. Meanwhile, Robinhood’s official attention and promotion for early native projects further reduced the cost of cold-starting. NOXA cumulatively created more than 60k tokens and accumulated fees of nearly $12 million. However, after new issuance stopped, the project supply quickly shifted to Pons.family, Flap, and other entry points.

CoinW Research Institute believes that the Robinhood Chain token launch platform has entered a phase of high supply and low conversion. Data from Dune shows that on July 16, 42,709 tokens were newly added across the entire chain. Pons.family and Flap together accounted for 50.30%. As of the time of writing, only 18 tokens with a market cap exceeding $60k exist, and they mainly come from NOXA and Virtuals. The issuance entry points have shifted to Pons and Flap, but high-market-cap projects remain concentrated in platforms formed in the previous stage that created wealth effects. After NOXA’s exit, no new absolute top leader has emerged; future rankings will mainly depend on effective graduation rate, million-dollar token output, and market-cap retention.

1.NOXA’s first-mover advantage failed to form a stable barrier

NOXA went from leading to stopping issuance within a very short market cycle. The platform’s growth relied on early entry, representative projects, amplification from Robinhood’s official support, and buyer attention. Once new projects stop entering, this growth loop is also interrupted.

1.1 How CASHCAT helped NOXA build its first round of advantages

The Robinhood Chain opened its public mainnet on July 1. The network uses Arbitrum Platform, supporting roughly 100-millisecond low-latency confirmations, and is compatible with EVM development tools. Uniswap v2, v3, v4, and UniswapX were integrated upon mainnet launch as well. Developers could directly deploy token contracts, create public liquidity, and quickly enter the trading paths of wallets and aggregators.

NOXA directly connected token creation with Uniswap v3 single-sided liquidity. New projects enter public price discovery from the very first trade. Creators receive trading fees from the pool, and the steps of manually creating the pool and subsequent migration are correspondingly reduced. While other token launch platforms had not yet formed stable products, this workflow first absorbed the token issuance demand for new tokens on Robinhood Chain.

NOXA’s first round of advantage did not come solely from product mechanics. CASHCAT connected Robinhood’s early brand narrative, on-chain communities, and short-term trading demand. Robinhood’s official attention and promotion further amplified project exposure, community trust, and inclusion of trading tools. Price and transaction growth then fed attention back into NOXA: creators wanted to reach existing buyers and leaderboard traffic, while traders gradually regarded NOXA as an important entry point for discovering new Robinhood Chain tokens. Representative projects, official support, and platform traffic thus formed a mutually reinforcing cold-start cycle.

1.2 Pausing issuance cuts off new project supply; existing assets can still run

NOXA attributed its decision to pause new issuance to rampant bot replication and low-quality token flooding. After the original domain was interrupted, the team migrated the historical interface to an ENS entry. Existing projects could still be browsed and traded, and creator fees could continue to be collected. The fee adjustment on July 15 further confirmed the platform’s downsizing direction: NOXA stopped charging subsequent transaction fees and transferred all revenue to creators. This effectively preserved historical contracts and trading channels while giving up the platform-side continuous monetization. For existing projects, tokens and liquidity pools can still operate. For NOXA, the growth loop formed by new project supply, platform revenue, and leaderboard updates had already been cut off.

This shows that a token launch platform’s traffic loop depends on continuous supply. The platform must not only keep onboarding projects, but also maintain leaderboards, integrate trading tools, and continuously deliver content to the market. Once new projects stop entering, creators lose access channels to the original buyer network, and traders shift to platforms that are still updating.

1.3 NOXA exposed three shortcomings of early token launch platforms

First, representative projects can quickly amplify platform traffic, but they also increase the platform’s dependence on the行情 of a single asset. CASHCAT helped NOXA build market awareness. However, when representative projects cooled off, the platform stopped issuance, and market sentiment weakened at the same time, transaction volume and user attention declined in parallel.

Second, continuous operation itself has become a core competitive capability. If a platform stops its core business during the period when the market is most active, creators’ expectations for fee claiming, contract maintenance, and ongoing product continuity will all be affected. A platform with top-end potential needs to prove it can filter out low-quality projects during supply peaks while still maintaining contracts, the frontend, and project services.

Third, official support is an important variable for cold-starts, but it cannot replace a platform’s independent growth. NOXA’s early breakout shows that Robinhood’s official attention, brand linkages, and channel distribution can significantly improve the exposure efficiency of native projects. For subsequent platforms, beyond improving issuance and liquidity products, they also need to secure content distribution, event coordination, and infrastructure integration. More importantly, they must convert phased support into sustained project supply, real buyer flow, and repeatable market distribution capabilities.

2. 42,709 tokens added in a single day; only 18 tokens with market cap over $1 million

2.1 Over 40k tokens in a day—where are the million-dollar tokens concentrated?

Dune data shows that on July 16, Robinhood Chain added 42,709 tokens in a single day. Of these, Pons.family created 11,547 tokens (27.04%); Flap created 9,935 tokens (23.26%). Together they created 21,482 tokens (50.30%), while other platforms created 21,227 tokens (49.70%). Pons and Flap are still the two most important issuance entry points, and their combined share is slightly above half of the entire chain. But as of the update time of this report, there are only 18 tokens across the whole chain with a market cap exceeding $1 million.

Table 1: Issuance volume of tokens by major Robinhood Chain launch platforms and output of million-dollar tokens

| Platform or range | | --- | | Issuance volume | | Number of tokens with market cap over $1 million | | Issuance share | | Market-cap outcome and assessment | | Pons.family | | 11,547 tokens | | 1 token | | 27.04% | | Only $PONS made the leaderboard; market-cap output concentrated in a single project | | Flap | | 9,935 tokens | | 0 tokens | | 23.26% | | Second in issuance volume, but no project has entered the million-dollar leaderboard | | NOXA | | New issuance stopped | | 10 tokens | | — | | 55.56% of the entire chain; number of million-dollar tokens is first | | Virtuals | | Dashboard not separately listed for the daily amount | | 5 tokens | | — | | 27.78% of the entire chain; number of million-dollar tokens is second | | Bullmarkets | | Dashboard not separately listed for the daily amount | | 1 token | | — | | 5.56% of the entire chain | | Bowfun | | Dashboard not separately listed for the daily amount | | 1 token | | — | | 5.56% of the entire chain | | Entire chain | | 42,709 tokens | | 18 tokens | | 100% | | Million-dollar tokens remain highly concentrated among a small number of platforms |

Table 1 shows that issuance share and market-cap outcomes have formed two sets of rankings. Pons and Flap together accounted for 50.30% of the tokens added on July 16, but the latest million-dollar leaderboard is still mainly composed of projects from NOXA and Virtuals. Pons currently mainly relies on its platform-named token to generate the high market-cap sample. For Flap, the number of million-dollar projects is 0. Issuance entry points are shifting to Pons and Flap, but million-dollar tokens are still mainly concentrated in platforms such as NOXA and Virtuals.

2.2 Pons leads in issuance volume, but there may be bot-driven volume inflation

According to Pons’ public page, about 21,454 tokens are still in the curve stage, 110 tokens have graduated, and cumulative tokens created are about 21,564. Based on this, Pons’ original graduation rate is estimated at about 0.51%. But among the 110 graduated tokens, only one token ($PONS) entered this million-dollar leaderboard, accounting for about 0.91% of graduated projects and about 0.0046% of all created projects.

Meanwhile, on-chain data can confirm that Pons’ ecosystem appears to have bot-driven volume. Here “volume inflation” mainly refers to automated accounts repeatedly performing actions such as creating tokens, buying tokens, approving trading routes, selling tokens, and claiming fees—causing the token creation counts in platform statistics and on-chain transaction counts to increase rapidly in a short period.

Below are two verifiable addresses:

Address one: 0x7DE5b9C86D2B47607A2962043bB165f7BEFeB06b

Address two: 0x7D22d3Dd32F00848A54eBE00c00a9082A18D4E66

Taking an example of a round of larger-amount operations on July 17: VLAD (contract address: 0x91e2ce85c223CD55b0Cf76Ca668a0e61ed696C6b) was created by the Pons launch contract. At 00:23:51, 00:24:58, and 00:26:06, the two addresses continuously bought VLAD three times in the same seconds and with exactly the same 0.033333333 ETH amount. Each address cumulatively put in about 0.1 ETH, and the two addresses together put in about 0.2 ETH.

At 00:31:09, the two addresses also completed approvals and sold all VLAD within the same second. When address one sold, it sold about 5,694,114.656 VLAD and the pool returned 0.101688749 WETH. After deducting routing fees, the actual received amount was 0.100671862 ETH. When address two sold, it sold about 5,707,289.584 VLAD and the pool returned 0.106254208 WETH, and the actual received amount was 0.105191665 ETH.

In addition, on July 17, address one and address two successfully called the Pons launch contract 896 times and 886 times respectively. Combined, they created 1,782 tokens, and each token-creation transaction spend amount was fixed at 0.0015 ETH.

A large number of standardized creation records, along with the two addresses buying three times in the same second and with the same amounts, and then liquidating in the same second, do not match independent user manual operation patterns. Therefore, it can be judged that these actions were executed in bulk by bots or automation scripts. Such operations inflate Pons’ issuance volume and transaction counts while also including a large amount of graduated tokens that lack subsequent operations. From this, it can be concluded that Pons’ issuance data shows fairly clear evidence of bot-driven volume inflation.

2.3 Flap’s graduation rate and market-cap conversion still need verification

On July 14, Flap once set a record of issuing about 22,000 tokens in a single day. By July 16, its creation volume dropped to 9,935 tokens, accounting for 23.26% of the chain’s total daily issuance. It remained the second-largest issuance platform after Pons.

Dune statistics show that there are only 18 tokens with market caps above $1 million on Robinhood Chain, and most of those top slots are occupied by platforms such as NOXA and Virtuals. Although Flap rapidly expanded its issuance scale, it had 0 million-dollar projects. This indicates that its current advantage is mainly concentrated in the creation entry and project distribution. Whether it can further convert issuance scale into high market-cap projects still needs observation of the market caps of graduated tokens, liquidity, and natural transaction retention.

2.4 Overall assessment: sustained market-cap output determines platform rankings

Pons’ advantage lies in its issuance scale, platform-named representative token, and relatively strong on-chain attention. Its shortcomings are that the original graduation rate is only about 0.51%, the creation data contains bot batch operations, and the million-dollar market-cap output is mainly concentrated in $PONS. Flap’s advantage is protocol reuse, external distribution, and quickly expanding project supply. Its shortcoming is that there are 0 million-dollar projects. In comparison, NOXA and Virtuals currently do not dominate the advantage in new issuance. Their projects still occupy more positions on the million-dollar market-cap leaderboard, indicating that representative projects, real buyers, and post-graduation sustained operations matter more for long-term attention than sheer creation numbers.

Therefore, when evaluating token launch platforms going forward, the priority should be: (1) number of million-dollar tokens and their daily retention rate; (2) median market cap of graduated projects, liquidity, and number of independent buyers; (3) effective graduation rate after filtering out bot batch creation; and only then (4) original issuance volume. Using this approach, Robinhood Chain currently has not formed a new top leader that can fully replace NOXA. Pons and Flap are ahead in new issuance entry points, but they do not produce many high market-cap projects.

3. Token-launch-platform liquidity downstream: why Uniswap benefits

3.1 Launch platforms compete for creation entry; Uniswap captures public liquidity

Launch platforms such as Pons and Flap mainly compete around creation costs, bonding curve parameters, creator splits, project discovery, and external distribution. But once tokens meet graduation conditions, liquidity usually moves to Uniswap or other public trading pools. Klik directly creates Uniswap v4 pools. Bankr organizes v4 liquidity via Doppler. After projects reach set conditions, Flap, Pons, and hood.fun migrate liquidity into Uniswap or other decentralized exchanges. Launch platforms handle token creation and early user acquisition; Uniswap handles public price discovery after graduation, trade execution, and liquidity capture.

NOXA pausing issuance further illustrates the division of responsibilities. After NOXA stopped new token issuance, historical projects could still continue trading through Uniswap and other trading interfaces. Even if the launch platform’s frontend stops updating, the already established public liquidity pools can still be called by wallets, trading bots, and aggregators. As a result, tokens can trade independently of the original launch entry.

This division gives Uniswap a growth path that is relatively independent of any single platform’s ranking. Market shares among launch platforms may change quickly, but as long as new projects continue using Uniswap v3 or v4 to establish public liquidity, Uniswap can gain more tradeable assets, pool transaction volume, and liquidity provider fee revenue. The more diversified the entry points are, the more the market needs a liquidity layer that multiple platforms, wallets, and aggregators can call together—this is Uniswap’s main advantage on Robinhood Chain.

3.2 CCA extends Uniswap further into the token issuance stage

Launch platforms typically move liquidity into Uniswap at token creation or after graduation. Continuous Clearing Auctions (CCA) further extend Uniswap to the initial issuance stage. Issuers can set the amount to sell, auction timing, settlement assets, and fundraising purposes. Participants submit budgets and the highest willingness-to-pay prices, and orders gradually participate in clearing across remaining blocks. After the auction ends, the system can automatically establish Uniswap v4 pools at market-formed prices, assigning tokens, setting initial pricing, and connecting secondary trading.

CCA differs from projects that use one-click launch platform services. One-click launch platforms emphasize low barriers, fast creation, and community dissemination, making them more suitable for meme coins that emerge frequently and are strongly narrative-driven. CCA is more suitable for projects that want to publicly sell a fixed quantity of tokens, reduce the impact of sniping, and establish initial prices through public bidding. As a result, Robinhood Chain forms two issuance paths: one-click launch platforms handle high-frequency community creation, while CCA handles relatively standardized public auctions. Ultimately, both types of projects can enter Uniswap’s public liquidity ecosystem.

TRASH is an early hot project on Robinhood Chain that uses CCA issuance. As of now, its fully diluted valuation is about $759k, the number of token-holding addresses is about 2,350, the 24-hour trading volume is about $7.1 million, and the daily trading volume is about 9.4 times its fully diluted valuation. These data show that CCA can concentrate orders and form high transaction volume in a short period, but the high turnover rate also means early prices are easily affected by short-term capital.

Therefore, Uniswap’s benefit path on Robinhood Chain can be divided into two: launch platforms import graduated projects and public liquidity into Uniswap, while CCA directly incorporates some projects’ initial allocation, price discovery, and initial pool creation into the Uniswap system. Both paths increase asset amounts, transaction scale, and trading fees. However, whether these fees can further be converted into protocol revenue and UNI value depends on whether protocol fees are enabled and how fees are ultimately allocated.

3.3 Compared with Hyperliquid: similar trading fees correspond to different value capture

Uniswap and Hyperliquid have different product structures. Uniswap is centered on multi-chain spot automated market making and permissionless liquidity. Hyperliquid mainly uses an order-book matching system and covers perpetual futures contracts and spot trading. They are not directly comparable in terms of market share or product quality, but their transaction fees over the past ~30 days are relatively close, which can be used to observe how fees are allocated among liquidity providers, market makers, the protocol, and tokens under different trading structures.

Table 2: Comparison of fees, revenue, and value capture between Uniswap and Hyperliquid over the past 30 days

| Metric | | --- | | Uniswap | | Hyperliquid | | Comparison | | Trading fees | | $61.44M | | $62.19M | | The two differ by only about 1.2% | | Protocol revenue | | $3.95M | | $44.31M | | Hyperliquid is about 11.2x | | Protocol revenue / trading fees | | ~6.4% | | ~71.2% | | Fee retention structure is clearly different | | Liquidity / market-maker compensation | Liquidity providers earn most trading fees and bear capital occupation and impermanent loss Market makers profit through bid-ask spreads, hedging, and order rebates; HLP has its own allocations Protocol has different capacity to retain transaction fees | | Token value | Protocol fees go into the TokenJar contract and are converted by searchers to form UNI burn Fees are allocated to HLP, assistance fund, and deployers; the assistance fund buys and burns HYPE Hyperliquid’s value path is more direct; Uniswap relies on governance execution and liquidity retention |

Over the past 30 days, Uniswap generated about $61.44M in trading fees, while Hyperliquid generated about $62.19M—only about 1.2% difference. In the same period, Uniswap protocol revenue was about $3.95M, while Hyperliquid was about $44.31M, around 11.2x of the former. The protocol revenue as a share of trading fees is about 6.4% for Uniswap and 71.2% for Hyperliquid. The magnitude of fees paid by traders is similar, but the share routed into the protocol-controlled path differs significantly.

This difference first comes from liquidity compensation. Uniswap uses an automated market-making structure, so liquidity providers must continuously put in capital and bear price volatility, being positioned outside effective ranges, and impermanent loss. Therefore, most trading fees need to be left to liquidity providers. For example, with the protocol fee enabled on Uniswap v2, traders pay a 0.30% fee; of that, 0.25% goes to liquidity providers and 0.05% goes to the protocol. The protocol gains one-sixth of total fees.

Hyperliquid uses an order-book structure. Professional market makers can earn via bid-ask spread, inventory management, cross-market hedging, and maker rebates on placed orders, so reliance on compensating trading fees is relatively lower. This enables more fees to flow into allocation paths such as HLP, the assistance fund, and deployers. The assistance fund will use the related funds to buy and burn HYPE.

Therefore, the difference in protocol revenue share of trading fees mainly reflects how fees are allocated differently under the two trading and market-making structures. Hyperliquid can route a higher proportion of fees into the protocol and the HYPE value path. Uniswap, by contrast, needs to prioritize liquidity provider earnings to maintain permissionless liquidity and trading depth. Uniswap can expand network value through asset and trading growth, but whether UNI can receive synchronized value back still needs observation.

3.4 UNI value capture still depends on protocol fee activation

Robinhood Chain has already brought noticeable trading growth to Uniswap. According to DeFiLlama data, in the past 30 days this chain contributed about $23 million in trading fees to Uniswap—Uniswap’s highest-fee-contributing single network—but corresponding protocol revenue is still 0. At this stage, this growth mainly reflects increases in assets, transaction scale, liquidity provider fees, and public liquidity network expansion. UNI holders have not yet received direct value back.

The direct reason for this discrepancy is that protocol fees on Robinhood Chain have not yet been enabled. The Uniswap community has proposed extending the protocol fee mechanism to v2, v3, and v4 deployments on this chain. The related governance proposal ended on July 15 and received about 12.95M votes in support, with 0 votes against and 0 abstentions. However, the governance passed only formed preliminary consensus represented by the community; formal on-chain voting and cross-chain execution are still not completed.

Under the governance plan, Robinhood Chain’s v2 and v3 protocol fees will be enabled via independent on-chain proposals, while v4 will be included in the first batch of multi-chain activation proposals. After the proposal is officially approved, governance messages still need to be sent from the Ethereum mainnet to Robinhood Chain and executed, at which point protocol fees will start flowing into that chain. This path can convert some of Robinhood Chain’s transaction fees into UNI token value, but the final effect still depends on two factors: first, whether protocol fee activation can maintain existing liquidity and aggregators; second, whether high market-cap projects can continue producing real trading. Protocol fees reduce the trading fee income for liquidity providers. If fee rate settings affect pool depth, protocol revenue growth may also be limited.

Overall, the token launch platform’s market-cap conversion on Robinhood Chain is still relatively low. But a small number of successful projects will concentrate trading and public liquidity into Uniswap, making it a structural beneficiary of the launch-market expansion. At present, benefits mainly remain at the levels of asset count, trading volume, liquidity provider income, and the public liquidity network layer. Only when protocol fees complete formal governance and cross-chain execution, and trading volume and liquidity remain stable, will this growth further transmit to protocol revenue and UNI token value.

Conclusion

Robinhood Chain has entered a high-frequency token issuance stage. On July 16, 42,709 tokens were newly added across the entire chain in a single day. Pons and Flap together created 21,482 tokens, accounting for 50.30%. Dune data shows that there are only 18 tokens with market caps above $1 million. This indicates that the token issuance speed is far higher than the growth pace of real capital and user demand, and the bottleneck of platform competition is beginning to shift from creation tools to market-cap and liquidity retention after graduation.

At this stage, the original issuance volume can only reflect the platform’s ability to onboard token creation; it is difficult to use it alone to indicate project quality. Bot batch creation inflates issuance volume and increases graduation rates, and the graduation thresholds set by platforms can only show that projects obtained initial funding and liquidity. Metrics with more comparative value are the effective graduation rate after removing identified automated addresses, the number of million-dollar tokens and daily retention rates, and also the median market cap of graduated projects, liquidity, and the number of natural buyers. Only projects that continue to attract independent buyers after crossing the graduation threshold may form stable wealth effects and user return flow.

From the current landscape, Pons is leading in issuance volume, but its original graduation rate is around 0.51%, and on-chain samples also show bot batch creation and synchronized trading. Therefore, some of the issuance volume and transaction counts may deviate from true user demand. Currently, the projects that enter the million-dollar leaderboard on Pons are still mainly platform-named tokens, and market-cap output shows clear concentration in a single project. Flap is more complete in external distribution and protocol reuse, but the number of million-dollar projects is 0. Meanwhile, NOXA and Virtuals still occupy the main positions on the high market-cap project leaderboard, suggesting that the user base and wealth effects formed by historical representative projects have not yet been replaced by the scale of new issuance. Therefore, after NOXA exited, Robinhood Chain has not yet seen a new top leader that leads simultaneously; future focus should be on effective graduation rate, token market caps, and retention rates.