The Brutal Reckoning of the Public Chain Market in 2025: The Thriving Casino, The Fake Ghost Town, and VC's Harvesting Scheme

marsbitPublicado em 2025-12-18Última atualização em 2025-12-18

Resumo

Crypto Public Chains Face a Reality Check: A Grim Settlement in 2025 The crypto market, often perceived as a lens of soaring market caps and futuristic promises, reveals a starkly different reality when analyzed through on-chain fee data. A deep dive into DeFiLlama’s “Fees by Chain” metrics exposes a severe structural issue: the public chain ecosystem is dominated by profit concentration, while the long tail languishes in zombification. Notable examples highlight this disparity. Algorand, a chain backed by Turing Award-winning cryptography, recorded a meager $17 in daily protocol revenue despite a billion-dollar valuation. Similarly, Cardano, a top-ten asset by market cap, generates only around $6,000 in daily fees, indicating a lack of substantial economic activity beyond basic transfers. In contrast, the chains capturing real value are those serving clear, immediate demands. Tron leads with $1.24 million in daily fees, powered primarily by its role as a low-cost payment rail for USDT transfers. Solana follows with nearly $600,000, driven largely by its vibrant on-chain casino of meme coin trading and speculation. Base, backed by Coinbase’s distribution power, has also emerged as a serious contender. These cases underscore that proven, fee-generating business models in crypto are currently limited to payments, high-frequency speculation, and Ethereum’s role as a settlement layer. The analysis further reveals the failure of the VC-driven model. Newer chains like Sui, Sei,...

Author: BlockWeeks Block Weekly

In the cryptocurrency market, if you only look at Market Cap, you see a thriving, flourishing digital utopia. Valuations in the tens of billions of dollars, grand technical whitepapers, the aura of Turing Award winners... everything looks like the dawn of the next generation of the internet.

But if you put on a different pair of glasses—glasses that only see "On-Chain Real Revenue (Fees)"—you see a completely different, even spine-chilling picture: In this so-called trillion-dollar market, the vast majority of "unicorns" are actually zombies that have long stopped breathing.

Recently, BlockWeeks conducted a detailed analysis of the "Fees" data for public chains from DeFiLlama, and we discovered an unavoidable structural problem: The crypto public chain ecosystem has entered an era of "extreme profit concentration and collective zombification of the long tail."

The core data in this article is sourced from the "Fees / Revenue by Chain" panel on DeFiLlama (capture time: December 16, 2025). The "Fees" defined here refer to the total fees paid by users on-chain (top-line), an approximate indicator for measuring the scale of on-chain economic activity, not the protocol's net retained income (Protocol Revenue). This article aims to use this public, unified standard to examine the on-chain value capture capability of various public chains.

I. The $17 Humiliation: The Demise of the Technological Utopia

According to the public data we captured from DeFiLlama, the most alarming number is not the million-dollar giants at the top, but the $17 at the bottom.

This is the daily total protocol revenue for Algorand—a chain once crowned the "blockchain trilemma solver," founded by Turing Award winner Silvio Micali, and boasting top-tier technical credentials.

You read that correctly, not $170,000, but $17.

At this very moment, Algorand's market capitalization remains in the billion-dollar range. A "digital nation" valued at a billion dollars generates a direct tax revenue from its digital economy that isn't enough to buy four lattes at Starbucks. It shows that despite possessing the most advanced decentralized technology, without real, sustained application demand, its economic value capture capability approaches zero.

This is not just Algorand's embarrassment; it is the death knell for the entire "classic public chain" camp.

Look at Cardano (ADA), a behemoth steadily ranked in the top ten by market cap, with millions of token holding addresses. Yet the data tells us its recent average daily on-chain transaction fees hover around $6,000. This means that aside from asset transfers between holders and network maintenance staking, that chain lacks commercial activity significant enough to generate substantial fees—no large-scale lending, no high-frequency trading, no real, paid value exchange.

These public chains are like luxurious empty cities built at great expense in the middle of a desert. The infrastructure is complete, the roads are wide, the city hall (foundation) is well-funded, but no residents (active paying users) are seen on the streets. Their method of sustaining operation is often for the city hall to continuously sell off reserves (dumping tokens) to cover operational costs.

II. An Ugly Victory: Who is Actually Capturing Value?

When shifting focus to the top of the list, a fact that makes "technological purists" even more uncomfortable emerges: The ones making the most money are often not the most "elegant" or "decentralized" in terms of technology.

Topping the list is Tron, with average daily fees as high as $1.24 million. In the eyes of many elitists, Tron might hardly be considered "technical." But the market voting with its feet gives the ultimate answer: Payments are a rigid demand. Tron carries the vast majority of global USDT on-chain transfer demand. In this industry full of speculation and bubbles, Tron has inadvertently become the only payment application layer adopted at mass scale (Mass Adoption)—even if it merely serves as a shadow banking channel for fiat currencies.

One could say: Payments, the oldest and most basic internet need, is currently the only Mass Adoption in the Crypto world. Tron's success is a powerful mockery of all project teams that pursue "perfect technology" while ignoring "real demand."

Close behind is Solana, with average daily fees nearing $600,000. Its success logic is even more straightforward: It is the world's most active on-chain casino. Meme coins, high-frequency DEX trading, front-running—these activities contribute the vast majority of its fees. Solana's moat is no longer TPS, but "attention traffic." The rise of Base is even more disruptive (approx. $105k daily): it proves that distribution channels are far more important than the technology itself. Backed by Coinbase's huge user base, Base delivers a dimensional打击 to other L2s.

This provides a cruel and clear revelation: The current Crypto market has only two and a half business models that have been verified to generate large-scale on-chain fees—low-cost payments (Tron), high-frequency speculation (Solana/Base), and the asset settlement layer (Ethereum), which is being eroded by L2s.

Beyond these, those once highly anticipated "enterprise-level applications," "supply chain traceability," and "Web3 social" have, in the face of cold on-chain fee data, at least at this stage, not yet demonstrated scaled付费 demand.

III. The VC-Led Dilemma: Why "Peak at Launch"?

This data also reveals another deep crisis: The narrative model for new L1/L2s driven by massive venture capital (VC) funding is facing a brutal reality check regarding monetization.

We see that new public chains like Sui (approx. $12k daily), Sei (approx. $320 daily), and Starknet (approx. $10k daily), which launched with great fanfare and raised hundreds of millions of dollars, have on-chain fee revenues severely disconnected from their fully diluted valuations (FDV) of tens or even hundreds of billions.

The standard playbook of the past few years has been: VC investment -> Team piles on technical highlights -> Attract airdrop farmers to inflate metrics -> Token lists on exchanges creating wealth -> Retail investors buy into the narrative -> Airdrop farmers exit -> On-chain activity metrics plummet.

This is why many new chains show astonishing TPS and hundreds of thousands of daily active users at launch, only to quickly become "ghost towns" months later. Because those users are mercenaries, not residents. When airdrop expectations are met, when incentive subsidies stop, the real, organic demand is exposed for what it is—daily fees of a few thousand or tens of thousands of dollars simply cannot support the dream of a billion-dollar valuation.

We are facing a severe case of "block space inflation." The industry has built too many chains, too many L2s, too many Data Availability (DA) layers, but innovation at the application layer is extremely scarce. It's like, in the early days of broadband internet,狂热ly laying成千上万条光纤, but Netflix, YouTube, or any killer app that must consume that bandwidth hasn't been born yet.

IV. Investor Awakening: From "Listening to Stories" to "Checking the Books"

For a long time, the valuation logic of the crypto market has been built on "P/E ratio of dreams". The grander the narrative, the richer the imagination, the higher the market cap could soar.

But 2024-2025 is becoming a watershed moment. As macro liquidity tightens and institutional investors demand more substantial returns, the market is being forced to return to rationality.

For investors, the logic must change:

  1. Beware of "Zombie Coins": If a project has a market cap in the tens of billions but daily on-chain fees of only a few hundred or thousand dollars, this extreme case of "unworthiness" is often the starting point for a long-term decline. Its only support—community faith—will eventually run out.

  2. Focus on "Positive Cash Flow" Capability: Look for ecosystems where users are willing to持续 pay for services even without token incentives. Tron's stablecoin transfer fees, Base and Solana's transaction fees, are direct reflections of real demand.

  3. Acknowledge "Channels and Ecosystems are King": Base's success proves that pure technical superiority can hardly be a moat anymore. Giants entering with massive user bases (like Coinbase), or native communities capable of nurturing狂热 cultures, are more valuable assets at this stage. Purely technical public chains, if they cannot solve the "who will use it and why" problem, will ultimately become academic showpieces like Algorand.

  4. See Through the VC Game: Stop paying for false繁荣 driven by subsidies and airdrops.

Facing the harsh reality of $17 in daily revenue, rather than paying for grand narratives and empty "digital ghost towns," it's better to tighten your purse strings and turn to the few ecosystems that can generate real cash flow and have active paying users.

This is not to deny the long-term value of all technological exploration, but rather a necessary清算 of the current畸形的 valuation system. Only when the market learns to pay for "value actually generated," rather than透支 for "stories promised in the future," can this industry usher in a truly healthy dawn.

Important Notes and Evaluation Framework

The core of this article is to use the unified, public ruler of "On-Chain Fees" to measure the "Immediate Value Capture Capability" of various public chains. When reading and citing the conclusions of this article, please be sure to understand the following key context and limitations:

1. General Context

  • Differences in Development Stage: Some public chains may be technologically advanced but are in their early stages, and their user base has not yet formed scale effects. The data in this article reflects the "current state," not the "ultimate potential."

  • Impact of Fee Models: Some public chains are designed to pursue ultra-low transaction fees (Gas Fee), and their native token prices are low. This means that even if the number of on-chain transactions is considerable, the "total fee revenue" denominated in USD appears微小. This suggests that evaluating such chains should combine indicators like number of transactions, number of active addresses, but the upper limit of their economic throughput denominated in USD remains an objective fact.

2. Evaluation Notes for Specific Types of Chains

For a fairer discussion, we provide the following evaluation ideas for specific types of projects:

Chain Type This Article's Evaluation and Suggestion
Storage/Service Networks

(e.g., Filecoin, Arweave)

There is indeed a difference in scope. The core value of these networks lies in storage/retrieval services, and their revenue model differs from simple transaction fees. DeFiLlama's "Fees" metric may severely underestimate their actual commercial activity. If you are an investor, you should focus on examining their storage market capacity, active storage deals, and real storage revenue streams.
Off-Chain/Consortium Business-Driven Public Chains

(e.g., some enterprise chains)

The data has limitations. DeFiLlama only统计 public on-chain activity, and BlockWeeks完全认同 this point. But we同样 wonder, if the main value of a public chain is not reflected on-chain, then what supports the market capitalization of its publicly issued tokens used for on-chain governance and security?
Technically Low-Fee/High-TPS Public Chains The design初衷 is good. However, extremely low per-transaction fees mean the value captured by the chain itself and its validators is extremely low. The success of this model must rely on extremely high transaction volume to compensate for the low price disadvantage. If low fees fail to attract massive transaction volume, its economic model may face challenges.
Chains with Ecosystem Traffic Concentrated on CEXs Hard to evaluate. If a public chain's on-chain economic activity is weak and cannot generate sufficient fees, then its practical value and value capture capability as a "decentralized settlement layer" or "smart contract platform" are low. Its value might be closer to a mere "digital collectible."

We始终 believe that in a world of highly concentrated profits, projects in the long tail are almost sentenced to fate unless they find unique application scenarios (like gaming or specific AppChains). Only platforms that can generate cash flow through real, sustained user demand have the potential to survive long-term and outperform the market.

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Perguntas relacionadas

QWhat is the core metric used in the article to evaluate the health and value capture of public blockchains, and why is it considered crucial?

AThe core metric is on-chain fees (total fees paid by users), as it serves as a direct, public, and unified proxy for measuring the scale of real economic activity and value capture on a blockchain, moving beyond market cap narratives to assess actual usage and demand.

QAccording to the article, which two and a half business models have been validated to generate significant on-chain fees in the current crypto market?

AThe two and a half validated business models are: 1) Low-cost payments (exemplified by Tron's USDT transfers), 2) High-frequency speculation (exemplified by Solana and Base's meme coin and trading activity), and the half being the settlement layer for assets (Ethereum), which is being increasingly fragmented by Layer 2 solutions.

QWhat does the '17 dollars' figure associated with Algorand represent, and what broader point does it illustrate about the public blockchain space?

AThe '17 dollars' represents Algorand's daily on-chain fee revenue at the time of the analysis. It illustrates the critical point that even a blockchain with advanced technology and a high market capitalization can have near-zero economic value capture if it lacks real, sustained application demand and user activity, making it a 'zombie chain'.

QWhat is the primary criticism the article levels against the venture capital (VC)-driven model for launching new Layer 1 and Layer 2 blockchains?

AThe article criticizes the VC-driven model for creating a cycle of 'artificial prosperity': massive funding -> technical hype -> airdrop farming to inflate metrics -> token listing and wealth generation for insiders -> retail investors buying the narrative -> farmers leaving -> a cliff-like drop in on-chain activity. This reveals a lack of organic demand and results in valuations that are severely disconnected from meager on-chain fee revenue.

QHow does the article suggest investors should change their evaluation framework when assessing blockchain projects, moving away from traditional crypto valuation methods?

AThe article suggests investors shift from valuing narratives ('storytelling') to scrutinizing financial fundamentals ('checking the books'). Key recommendations include: avoiding 'zombie coins' with high valuations but negligible fees, focusing on chains that generate positive cash flow from real user-paid fees, prioritizing distribution channels and vibrant communities over pure technical specs, and seeing through the artificial cycles created by VC and airdrop farming games.

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O que é $S$

O que é AGENT S

Agent S: O Futuro da Interação Autónoma no Web3 Introdução No panorama em constante evolução do Web3 e das criptomoedas, as inovações estão constantemente a redefinir a forma como os indivíduos interagem com plataformas digitais. Um projeto pioneiro, o Agent S, promete revolucionar a interação humano-computador através do seu framework aberto e agente. Ao abrir caminho para interações autónomas, o Agent S visa simplificar tarefas complexas, oferecendo aplicações transformadoras em inteligência artificial (IA). Esta exploração detalhada irá aprofundar-se nas complexidades do projeto, nas suas características únicas e nas implicações para o domínio das criptomoedas. O que é o Agent S? O Agent S é um framework aberto e agente, especificamente concebido para abordar três desafios fundamentais na automação de tarefas computacionais: Aquisição de Conhecimento Específico de Domínio: O framework aprende inteligentemente a partir de várias fontes de conhecimento externas e experiências internas. Esta abordagem dupla capacita-o a construir um rico repositório de conhecimento específico de domínio, melhorando o seu desempenho na execução de tarefas. Planeamento ao Longo de Longos Horizontes de Tarefas: O Agent S emprega planeamento hierárquico aumentado por experiência, uma abordagem estratégica que facilita a decomposição e execução eficientes de tarefas intrincadas. Esta característica melhora significativamente a sua capacidade de gerir múltiplas subtarefas de forma eficiente e eficaz. Gestão de Interfaces Dinâmicas e Não Uniformes: O projeto introduz a Interface Agente-Computador (ACI), uma solução inovadora que melhora a interação entre agentes e utilizadores. Utilizando Modelos de Linguagem Multimodais de Grande Escala (MLLMs), o Agent S pode navegar e manipular diversas interfaces gráficas de utilizador de forma fluida. Através destas características pioneiras, o Agent S fornece um framework robusto que aborda as complexidades envolvidas na automação da interação humana com máquinas, preparando o terreno para uma infinidade de aplicações em IA e além. Quem é o Criador do Agent S? Embora o conceito de Agent S seja fundamentalmente inovador, informações específicas sobre o seu criador permanecem elusivas. O criador é atualmente desconhecido, o que destaca ou o estágio nascente do projeto ou a escolha estratégica de manter os membros fundadores em anonimato. Independentemente da anonimidade, o foco permanece nas capacidades e no potencial do framework. Quem são os Investidores do Agent S? Como o Agent S é relativamente novo no ecossistema criptográfico, informações detalhadas sobre os seus investidores e financiadores não estão explicitamente documentadas. A falta de informações disponíveis publicamente sobre as fundações de investimento ou organizações que apoiam o projeto levanta questões sobre a sua estrutura de financiamento e roteiro de desenvolvimento. Compreender o apoio é crucial para avaliar a sustentabilidade do projeto e o seu impacto potencial no mercado. Como Funciona o Agent S? No núcleo do Agent S reside uma tecnologia de ponta que lhe permite funcionar eficazmente em diversos ambientes. O seu modelo operacional é construído em torno de várias características-chave: Interação Humano-Computador Semelhante: O framework oferece planeamento avançado em IA, esforçando-se para tornar as interações com computadores mais intuitivas. Ao imitar o comportamento humano na execução de tarefas, promete elevar as experiências dos utilizadores. Memória Narrativa: Utilizada para aproveitar experiências de alto nível, o Agent S utiliza memória narrativa para acompanhar os históricos de tarefas, melhorando assim os seus processos de tomada de decisão. Memória Episódica: Esta característica fornece aos utilizadores orientações passo a passo, permitindo que o framework ofereça suporte contextual à medida que as tarefas se desenrolam. Suporte para OpenACI: Com a capacidade de funcionar localmente, o Agent S permite que os utilizadores mantenham o controlo sobre as suas interações e fluxos de trabalho, alinhando-se com a ética descentralizada do Web3. Fácil Integração com APIs Externas: A sua versatilidade e compatibilidade com várias plataformas de IA garantem que o Agent S possa integrar-se perfeitamente em ecossistemas tecnológicos existentes, tornando-o uma escolha apelativa para desenvolvedores e organizações. Estas funcionalidades contribuem coletivamente para a posição única do Agent S no espaço cripto, à medida que automatiza tarefas complexas e em múltiplos passos com mínima intervenção humana. À medida que o projeto evolui, as suas potenciais aplicações no Web3 podem redefinir a forma como as interações digitais se desenrolam. Cronologia do Agent S O desenvolvimento e os marcos do Agent S podem ser encapsulados numa cronologia que destaca os seus eventos significativos: 27 de Setembro de 2024: O conceito de Agent S foi lançado num artigo de pesquisa abrangente intitulado “Um Framework Agente Aberto que Usa Computadores como um Humano”, mostrando a base para o projeto. 10 de Outubro de 2024: O artigo de pesquisa foi disponibilizado publicamente no arXiv, oferecendo uma exploração aprofundada do framework e da sua avaliação de desempenho com base no benchmark OSWorld. 12 de Outubro de 2024: Uma apresentação em vídeo foi lançada, proporcionando uma visão visual das capacidades e características do Agent S, envolvendo ainda mais potenciais utilizadores e investidores. Estes marcos na cronologia não apenas ilustram o progresso do Agent S, mas também indicam o seu compromisso com a transparência e o envolvimento da comunidade. Pontos-Chave Sobre o Agent S À medida que o framework Agent S continua a evoluir, várias características-chave destacam-se, sublinhando a sua natureza inovadora e potencial: Framework Inovador: Concebido para proporcionar um uso intuitivo de computadores semelhante à interação humana, o Agent S traz uma abordagem nova à automação de tarefas. Interação Autónoma: A capacidade de interagir autonomamente com computadores através de GUI significa um avanço em direção a soluções computacionais mais inteligentes e eficientes. Automação de Tarefas Complexas: Com a sua metodologia robusta, pode automatizar tarefas complexas e em múltiplos passos, tornando os processos mais rápidos e menos propensos a erros. Melhoria Contínua: Os mecanismos de aprendizagem permitem que o Agent S melhore a partir de experiências passadas, aprimorando continuamente o seu desempenho e eficácia. Versatilidade: A sua adaptabilidade em diferentes ambientes operacionais, como OSWorld e WindowsAgentArena, garante que pode servir uma ampla gama de aplicações. À medida que o Agent S se posiciona no panorama do Web3 e das criptomoedas, o seu potencial para melhorar as capacidades de interação e automatizar processos significa um avanço significativo nas tecnologias de IA. Através do seu framework inovador, o Agent S exemplifica o futuro das interações digitais, prometendo uma experiência mais fluida e eficiente para os utilizadores em diversas indústrias. Conclusão O Agent S representa um ousado avanço na união da IA e do Web3, com a capacidade de redefinir a forma como interagimos com a tecnologia. Embora ainda esteja nas suas fases iniciais, as possibilidades para a sua aplicação são vastas e cativantes. Através do seu framework abrangente que aborda desafios críticos, o Agent S visa trazer interações autónomas para o primeiro plano da experiência digital. À medida que avançamos mais profundamente nos domínios das criptomoedas e da descentralização, projetos como o Agent S desempenharão, sem dúvida, um papel crucial na formação do futuro da tecnologia e da colaboração humano-computador.

735 Visualizações TotaisPublicado em {updateTime}Atualizado em 2025.01.14

O que é AGENT S

Como comprar S

Bem-vindo à HTX.com!Tornámos a compra de Sonic (S) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar Sonic (S) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu Sonic (S)Depois de comprar o teu Sonic (S), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona Sonic (S)Transaciona facilmente Sonic (S) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

1.3k Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar S

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de S (S) são apresentadas abaixo.

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