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GMGN Tops Daily Revenue on Robinhood Chain, Native Token Launch Platform Pons Remains Second

On-chain revenue rankings show that GMGN has become the highest daily revenue application on the Robinhood Chain, and has also become the highest trading volume front-end driven by the popularity of Meme trading on the chain; public search results did not disclose its specific daily revenue, trading volume, statistical criteria, or precise changes compared to the beginning of the month.

The native token launch platform Pons remains in second place for revenue. Market rumors suggest that Pons has used its revenue to buy back and destroy nearly 30% of its token supply; this model draws from Pump.fun-style launch platforms, linking the creation and trading of Meme assets with platform revenue buybacks, but the destruction ratio must be based on the project's on-chain contracts, buyback addresses, and supply changes.

Uniswap and the Robinhood Chain network itself continue to earn fees from on-chain transactions. Uniswap's revenue primarily comes from transaction fee arrangements related to protocols and liquidity pools, while network revenue depends on transaction execution, Gas fees, and underlying sorting or validation mechanisms; both rely on sustained trading popularity and do not directly equate to token price performance.

Lighter is listed as the highest revenue perpetual contract decentralized exchange on the chain. Market narratives compare its token performance to Hyperliquid's HYPE, but "setting a historical high" is a price point conclusion that needs verification against token contracts, trading venues, and pricing currencies; HYPE has indeed had discussions about approaching or refreshing high points recently, but this cannot be used to deduce the specific price status of Lighter tokens.

The native ve(3,3) exchange up enters the revenue rankings at sixth place, relying on token incentives to attract users to provide liquidity and participate in mining. The core of this mechanism is to bind emission rights, voting rights, and fee distribution: token incentives can quickly create TVL and trading volume, but if real fees are insufficient to cover incentive dilution, liquidity will quickly migrate after subsidies decline.

OpenSea, SLVR, and StonkBrokers remain at the forefront of the revenue rankings, but their revenues have declined compared to the beginning of the month, reflecting that NFT-related trading popularity has been diverted by Meme, token launches, and perpetual contract activities. Changes in the revenue rankings primarily reflect short-term user attention, trading frequency, and fee structure migration, and cannot alone prove that a particular protocol has formed stable long-term demand.

In market mechanisms, the Meme front-end GMGN and launch platform Pons attract high-frequency speculative traders, while perpetual DEX Lighter absorbs leveraged funds, and Uniswap and the underlying network extract basic fees from all settleable transactions. Traders bear slippage, Gas, funding rates, and token volatility costs; protocols that control entry, liquidity, and clearing systems benefit. When NFT platform revenues weaken, projects relying on royalties, listings, or market trading fees will be under pressure unless new asset narratives bring back transaction density.

Source: Public Information

ABAB AI Insight

GMGN's rise continues the path of "trading entry monetizing before asset issuance" in the Solana Meme cycle. Pump.fun compresses the creation of new coins into a standardized process through low-threshold launches, while GMGN-like terminals aggregate wallet tracking, smart money tagging, quick buying and selling, and on-chain market data into a trading decision interface. Both types of products do not need to predict which Meme will survive long-term; as long as trading frequency increases, they can earn revenue from user attention and order flow; Pons' buyback and destruction design is replicating and localizing the revenue-token narrative of launch platforms.

In terms of capital pathways, Meme participants invest funds into initial token liquidity and short-term secondary markets, while trading front-ends and launchers intercept cash flow through trading fees, service fees, or protocol revenues; perpetual DEX further absorbs directional leverage and funding rate activities. Uniswap and Robinhood Chain are at a more fundamental level, with the former relying on liquidity pools and exchange behaviors, and the latter depending on the demand for block space and execution resources for each transaction. Revenue thus shifts from "who issued the popular asset" to "who controls the trading path, liquidity, and settlement."

Historically, BNB Chain was driven by PancakeSwap, Launchpad, and Meme trading to boost user growth, while Solana formed a high-frequency on-chain speculative ecosystem under the influence of Pump.fun, Jupiter, and trading bots. Robinhood Chain currently resembles an expanding trading network: Memes initiate user attention, launch platforms provide supply, DEX and perpetual contracts expand trading depth, and the underlying network collects execution fees. NFT projects can still remain on the list, but when the turnover rate of new asset issuance and leveraged trading is higher, the low-frequency trading structure of NFTs is naturally at a disadvantage.

Essentially, this is about the transfer of pricing power. Asset issuers previously relied on exchanges for listing and market maker distribution, while the Meme on-chain ecosystem separates issuance, discovery, trading, and settlement among launchers, front-ends, DEX, and networks; among these, the party that controls the user order entry is closest to the order flow and can most easily redirect liquidity and fees. The change occurs because the cost of asset creation is nearly zero, and the speed of information diffusion is extremely fast, while what users truly lack is filtering, execution speed, and exit liquidity; thus, platforms have pricing power over these three scarce capabilities.

ABAB News · Cognitive Laws

  1. Assets can be issued infinitely, but exit liquidity cannot be replicated.

  2. The higher the frequency of speculation, the closer the entry is to cash flow.

  3. Incentives can buy liquidity, but cannot buy retention.