空投潮褪,谁在裸泳?

Odaily星球日报Pubblicato 2024-07-11Pubblicato ultima volta 2024-07-11

Introduzione

羊毛党转移阵地后,Web3真实的需求量浮现。

原创 | Odaily星球日报(@OdailyChina

作者|Golem(@web3_golem

空投潮褪,谁在裸泳?

2024 上半年 4 大热门空投项目(Starknet、ZKsync、LayerZero、Blast)终于都在空投结束后告一段落,然而在社交媒体上仍时常有关于它们真实网络情况的争议,有观点认为它们曾经耀眼的链上数据是因为撸毛用户和工作室的存在,而当空投落地后,它们将是一个只有“ 8 个真实用户”的“链上鬼城”。

那么真实情况究竟如何,当热闹散尽还有多少用户留存,现在是时候看看它们真正的实力了。本文Odaily星球日报将从链上活跃地址、TVL、交易量等数据角度对这 4 个项目进行对比和总结。

Starknet:用户流失较多,但网络质量并未明显下降

Starknet 官方代币 STRK 的空投领取时间为 2 月 20 日至 6 月 20 日。

活跃地址数较空投前约减少 80% 

为了尽早卖出和避免承受抛压,许多用户都会选择尽早领取空投。因此根据 Starknet 官方浏览器 starkscan 的数据,在 2 月 21 日 Starknet 网络的日活跃地址数接近 2023 年 7 月的历史高度,超 38 万个地址。

空投潮褪,谁在裸泳?

但当大部分用户空投领取完后,日活跃地址也呈断崖式下跌,直到 6 月 20 日之后,日活跃地址数已经降到了 2023 年 3 月时的水平,大概 1.5 万到 2 万左右。

2023 年 5 月至 2024 年 2 月宣布空投前这段时间,Starknet 网络日活跃地址数平均约为 10 万,而目前来看空投申领结束后日活跃地址数已经减少了约 80% 。

TVL:空投后 U 本位下降,币本位并未减少

根据 Starknet 官方浏览器 starkscan 的数据,总体来看,Starknet 网络 TVL 仍处于上升趋势,以币本位计算,ETH 锁仓量一直在增加。即使是 STRK 空投后,TVL 也并没有下降太多,图中 4 月份 STRK 的 TVL 下跌是因为币价跳水,而实际锁定的 STRK 总量并未有太大变化。

空投潮褪,谁在裸泳?

日交易量无明显变化,交易笔数下降

根据 Defillama 的数据,Starknet 网络日交易量在空投前后并无明显变化,空投结束后并未影响用户在 Starknet 网络上交易的热情。

空投潮褪,谁在裸泳?

但日交易笔数却呈断崖式下跌。根据 Artemis 的数据, 2 月 20 日空投当日 Starknet 网络日交易笔数创新高,但之后总体呈下跌趋势,远不如空投前水平。

空投潮褪,谁在裸泳?

小结

以上数据总体反映出因空投结束撸毛用户与工作室的退出,网络活跃人数与交易频次下降,但整体网络质量却并未因此而下降太多,网络 TVL 与日交易量在空投前后并未有太大差异。同时总体交易笔数下降带来的影响便是网络的手续费用与收入也在空投后下降。

空投潮褪,谁在裸泳?

ZKsync:真实用户比例最高,网络质量较好

ZKsync 官方代币 ZK 的空投领取开始时间为 6 月 17 日。

活跃地址数较空投前约减少 40% 

根据由 Matter Labs 创建的 Dune 仪表盘显示,空投当天 ZKsync 的日活跃地址数创下历史新高。当大部分用户领取完后,日活跃地址数于空投当天相比下降约 70% ,但与空投前相比较,只下降了约 40% 。

空投潮褪,谁在裸泳?

TVL:U 本位下降,但受空投影响因素不大

根据 Artemis 的数据,ZKsync Era 网络的 TVL 以 U 本位计算在今年 3 月份未开始空投前就已经呈现下跌趋势, 6 月份空投之后 TVL 仍在持续下跌。

空投潮褪,谁在裸泳?

但是根据L2 beat 的数据,以币本位计算,ZKsync Era 网络空投后的 TVL 下降趋势并不明显。可见,其 TVL 降低受空投的影响并不大,而可能受其他因素(如整体赛道行情、币价、生态建设等)影响较大一些。

空投潮褪,谁在裸泳?

日交易量空投前后无明显变化

根据 Defillama 的数据,因为领取空投的需求, 6 月 17 日 ZKsync Era 网络交易量达到了 2.4 亿美元,创下 2024 年最高记录。但当空投领取完后,日交易量迅速回归平均水平,也无明显下跌。

空投潮褪,谁在裸泳?

但与日活跃地址数类似,ZKsync Era 网络的日交易笔数在 6 月 16 日空投当天达到了历史新高,约 170 万笔。随后日交易笔数下跌,与空投前平均日交易笔数相比约减少 50% 。

空投潮褪,谁在裸泳?

小结

以上数据总体反映 ZKsync Era 网络的真实用户占比相对较高,空投前后用户与交易频次仅减少 40% ~ 50% ,其他网络质量方面受空投因素而前后发生变化的影响小。

LayerZero:用户流失最大,网络质量骤降

LayerZero 在 5 月份初宣布进行了快照, 6 月 20 日正式宣布开放空投申领。

日活跃地址数较宣布快照前减少约 85% 

据 Dune 数据,自 LayerZero 在 5 月份初宣布完成快照后,链上活跃地址数断崖式下降, 5 月 2 日前链上活跃地址数还有超 11 万, 5 月 2 日后直接减少约 40% ,随后更是逐渐走向新低,较宣布快照前减少约 85% 以上。

空投潮褪,谁在裸泳?

跨链消息较空投前减少约 80% 

根据 LayerZero 官方浏览器 layerzeroscan 数据,使用 LayerZero 跨链的总消息数在官方宣布快照后也经历了断崖式下跌,除了在 6 月 20 日空投领取当日数据有起色外,与空投前相比,平均减少约 80% 以上,回到了 2023 年 3 月的水平。

空投潮褪,谁在裸泳?

跨链金额与日交易笔数减少 90% 以上

根据 Dune 数据,每日使用 LayerZero 进行跨链的资金在官方宣布快照后骤降,每日平均保持在 1500 万美元左右,与空投前高峰期相比,减少了 90% 以上。

空投潮褪,谁在裸泳?

同时,使用 LayerZero 的日交易笔数在宣布快照结束当天也下跌约 47% ,空投后日交易笔数平均保持在 2 万左右,与空投前平均 20 万的日交易笔数相比,也减少了 90% 以上。

空投潮褪,谁在裸泳?

小结

以上数据反映 LayerZero 网络表现并不客观,空投前后数据差异较大,用户与网络质量较空投前都下降了约 90% ,这也证明当撸毛用户和工作室退出后,LayerZero 的真实用户需求仅为空投前的 1/10 。

Blast:用户信心不足,未来发展堪忧

Blast 在 2 月 20 日宣布一周后发放空投,官方代币 BLAST 的空投领取开始时间为 6 月 26 日。

日活跃地址持续下降

根据 Artemis 的数据, 6 月份 Blast 的日活跃地址数整体处于上升趋势,表明用户对于 Blast 的信心实际在增加。但当 6 月 26 日空投落地,日活跃地址数骤降,短短几天回到了 3 月份时的水平,并且这种下降趋势仍在继续。

空投潮褪,谁在裸泳?

TVL 在空投前就开始下跌

根据 Artemis 的数据,Blast 网络的 TVL 在其官方 6 月 20 日宣布即将空投消息时就已经开始呈现下跌趋势,而实际到 6 月 26 日空投后,下跌趋势更加明显,资金正在撤出 Blast。

空投潮褪,谁在裸泳?

日交易量无明显变化,日交易笔数骤降

根据 Defillama 的数据, 6 月份 Blast 网络的交易量呈上升趋势, 6 月 26 日因空投领取达到历史最高,但很快回到了空投前 6 月份平均水平。

空投潮褪,谁在裸泳?

日交易笔数与日活跃地址数类似,在 Blast 官方 6 月 20 日宣布空投后就开始下跌,因 7 月 2 日 Blast 生态去中心化杠杆交易协议 Particle 向用户开放空投而有短暂回升,总体仍是下跌趋势。

空投潮褪,谁在裸泳?

小结

以上数据反映虽然 Blast 第一阶段空投并未结束多久,但用户对于 Blast 的信心明显不足,无论是用户还是资金与空投前相比都出现明显的撤退痕迹。但从交易量也能看出,因生态应用建设和新阶段的空投激励措施等作用,网络质量目前还处于一个较好的状态。

结语

综上,可以看出空投前这 4 个项目在用户量及链上活跃度方面确实存在较大的水分,但随着空投结束后大量撸毛用户和工作室的退出,真实链上数据被还原,所有项目都回归本身的价值时,我们就能够较为客观地看出是谁在裸泳。

针对走技术叙事的两条以太坊 L2(Starknet 和 ZKsync),当空投结束后,从真实用户数量与网络质量角度来说,它们也并没有想象中的那么不堪,TVL 与交易量没有与活跃地址数减少成正比。

反而是跨链互操作协议 LayerZero 与 收益型 L2 Blast 空投前后数据差异较大,特别是 LayerZero 不仅链上活跃地址大幅下降,日跨链金额也都经历了大幅下跌。这也侧面说明当空投泡沫破灭后,跨链协议的真正价值有待进一步评估。

当然,目前的数据也并不能代表它们的表现,随着主流叙事发展、行情变化、项目方路线图的进展等,未来市场会选择真正有价值的项目,而淘汰那些依靠空投积分策略获得一时热度的项目。

毕竟空投结束时,拼的才是真刀真枪。

Crypto di tendenza

Letture associate

South Korean Institutions' Crypto Race: Dual Explosion of Stablecoins and RWA

**Summary: South Korea's Institutional Crypto Race: Stablecoins and RWA Take Off** South Korea is undergoing a structural shift in its crypto ecosystem, moving beyond its historical role as a major retail trading hub. Major financial institutions and internet platforms are now building institutional-grade blockchain infrastructure, with stablecoins and Real-World Asset (RWA) tokenization as the primary drivers. The push for a regulated Korean won stablecoin market is a major policy and corporate focus. This is driven partly by an estimated $115 billion outflow into dollar stablecoins like USDC, threatening the domestic financial system. Banks (e.g., KB Financial, Hana), payment giants (e.g., Shinhan Card, BC Card), and internet super-apps (KakaoPay, NAVER Pay) are all conducting pilots. The goal is to anchor future digital finance to the Korean won and local regulations. In RWA, South Korea is advancing rapidly within regulatory sandboxes, focusing on unique domestic assets beyond typical global templates like US Treasuries. Projects involve tokenizing ships (with Hyundai Heavy Industries), defense supply chain assets, and K-pop intellectual property, alongside more conventional assets. A legal framework is set for 2027, and platforms like NXT are preparing for regulated trading. Key opportunities for crypto-native projects lie in providing the underlying technology these traditional institutions lack: global distribution channels for tokenized assets, cross-chain liquidity solutions, and enabling infrastructure tools (e.g., for asset packaging and management). Partnerships, such as Solana with Shinhan Card or LayerZero with the Korea Gold Exchange, exemplify this proactive approach. Crucially, user access is being shaped by consumer platforms. NAVER's planned acquisition of Upbit's operator Dunamu and Kakao's development of a unified wallet aim to seamlessly integrate crypto with everyday payments for tens of millions of users. The race is now about which protocols and projects will become the foundational standards as regulation solidifies and institutional adoption accelerates.

Foresight News3 min fa

South Korean Institutions' Crypto Race: Dual Explosion of Stablecoins and RWA

Foresight News3 min fa

How to Detect AI-Generated Videos? A Review of Dynamic, Traceable, and Explainable Detection Systems

**How to Detect AI-Generated Videos: A Survey on Dynamic, Traceable, and Explainable Detection Systems** With rapid advances in AI video generation (e.g., Sora, Veo), creating highly realistic, multi-minute videos is now possible, widening the gap with detection research. Current AI video detection, often limited to unreliable binary classifications, is insufficient. This survey, accepted at ACL 2026, reframes the goal as **"factual fidelity verification"**—checking if a video's content (who, when, where, what) aligns with the real world perceptually and cognitively. It categorizes AI-generated videos into three paradigms: **Local Manipulation Videos (LMV**, e.g., face swaps), **Audio-Visual Editing (AVE**, e.g., lip-syncing), and **Generative Video Synthesis (GVS**, fully synthetic videos like Sora's). Detection challenges evolve from visual artifacts in LMV to multi-modal inconsistencies in AVE and higher-level world knowledge violations in GVS. The core proposal is a **Vision-Language Dual-View framework** with four hierarchical layers: 1. **Layer 1 (Intrinsic Visual Cues):** Analyzes low-level signal statistics, noise patterns, and physiological signals. 2. **Layer 2 (Spatiotemporal Consistency):** Checks for temporal coherence in object motion and scene dynamics. 3. **Layer 3 (Cross-Modal Consistency):** Verifies alignment between video, audio, and text within the video. 4. **Layer 4 (Language-Guided World-Level Reasoning):** Uses external knowledge, facts, and physical laws to judge semantic plausibility and factual correctness. The survey traces a shift in detection focus from lower layers (1 & 2) toward higher, language-involved layers (3 & 4). It also reviews evolving evaluation metrics and datasets tailored for each video paradigm. The conclusion advocates for a **dynamic, evidence-first detection system** that moves beyond simple classification. Future trustworthy detection requires combining visual evidence (from CV) with semantic reasoning and explanation (from NLP & multimodal AI), ultimately creating traceable and explainable judgments about a video's adherence to real-world constraints.

marsbit40 min fa

How to Detect AI-Generated Videos? A Review of Dynamic, Traceable, and Explainable Detection Systems

marsbit40 min fa

It Turns Out the First Real-World Application of AI x Crypto is in Security Auditing

The article explores the surprising trend where AI's first major impact on crypto has been in security auditing, not in areas like trading or analytics. It details how AI-powered tools are dramatically lowering the barrier to finding smart contract vulnerabilities, enabling attackers to scan thousands of contracts and execute exploits within minutes. This has rendered traditional, manually-produced audit reports with their month-long validity periods increasingly obsolete, creating a critical "structural crack" in the old security model. Cases like Drift Protocol and KelpDAO show that even extensively audited protocols can be hacked through social engineering, operational flaws, or infrastructure misconfigurations beyond pure code review. Attackers are also using AI to find and exploit vulnerabilities in years-old, deployed contracts. Notably, OpenZeppelin's co-founder has expressed a grim view that "all DeFi is insecure" due to AI's asymmetric advantage. In response, the audit industry is undergoing a fundamental shift. While there's a short-term spike in defensive re-audits, the long-term business model is changing. Firms are developing AI-assisted systems and moving from one-time report deliveries towards embedded, continuous services like real-time monitoring and formal verification. Examples include AI tools uncovering critical, previously missed vulnerabilities in heavily audited protocols like Curve Finance and Zcash. The conclusion is that security must become a continuous investment, not a one-time checkbox, and audit firms must rapidly evolve their tools and service models to survive.

marsbit46 min fa

It Turns Out the First Real-World Application of AI x Crypto is in Security Auditing

marsbit46 min fa

Never expected that the first tangible application of AI x Crypto is in security auditing

Unexpectedly, the initial major application of AI in the Crypto sphere has turned out to be security auditing. In 2026, DeFi has faced significant security challenges, with 121 hacking incidents resulting in approximately $942 million in losses. While AI was expected to first impact areas like quantitative trading, its initial breakthrough has instead transformed security auditing by drastically lowering the cost and skill barrier for finding smart contract vulnerabilities. The traditional audit model is facing obsolescence. Advanced AI models, such as Claude Mythos, enable attackers to scan thousands of contracts and identify vulnerability patterns at scale, compressing the time from discovery to execution to mere minutes. This renders the month-long validity of traditional audit reports ineffective. Notably, attacks now frequently target well-audited, established protocols by exploiting business logic flaws, operational security weaknesses, and even years-old historical contracts, demonstrating that old audit reports offer zero protection. This pressure is forcing a fundamental shift in the industry. In the short term, a wave of defensive re-auditing is occurring, driven by projects seeking to meet new AI-era security standards and regulatory requirements. In the long run, audit firms' business models are diverging. The one-time report delivery model is declining in value, as evidenced by platforms like Code4rena shutting down. Leading firms are now pivoting towards AI-powered defense, integrating continuous monitoring, real-time on-chain risk detection, and embedding security directly into the development phase, as seen with tools like OpenZeppelin's Skills system. Ultimately, the era of "audit once, secure forever" is over. Security must become a continuous, embedded infrastructure investment for projects. For audit companies, survival depends on proactively transforming from traditional service providers into platforms offering AI-native, ongoing security solutions.

链捕手54 min fa

Never expected that the first tangible application of AI x Crypto is in security auditing

链捕手54 min fa

Trading

Spot

Articoli Popolari

Come comprare ZK

Benvenuto in HTX.com! Abbiamo reso l'acquisto di ZKsync (ZK) semplice e conveniente. Segui la nostra guida passo passo per intraprendere il tuo viaggio nel mondo delle criptovalute.Step 1: Crea il tuo Account HTXUsa la tua email o numero di telefono per registrarti il tuo account gratuito su HTX. Vivi un'esperienza facile e sblocca tutte le funzionalità,Crea il mio accountStep 2: Vai in Acquista crypto e seleziona il tuo metodo di pagamentoCarta di credito/debito: utilizza la tua Visa o Mastercard per acquistare immediatamente ZKsyncZK.Bilancio: Usa i fondi dal bilancio del tuo account HTX per fare trading senza problemi.Terze parti: abbiamo aggiunto metodi di pagamento molto utilizzati come Google Pay e Apple Pay per maggiore comodità.P2P: Fai trading direttamente con altri utenti HTX.Over-the-Counter (OTC): Offriamo servizi su misura e tassi di cambio competitivi per i trader.Step 3: Conserva ZKsync (ZK)Dopo aver acquistato ZKsync (ZK), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia ZKsync (ZK)Scambia facilmente ZKsync (ZK) nel mercato spot di HTX. Accedi al tuo account, seleziona la tua coppia di trading, esegui le tue operazioni e monitora in tempo reale. Offriamo un'esperienza user-friendly sia per chi ha appena iniziato che per i trader più esperti.

196 Totale visualizzazioniPubblicato il 2024.12.13Aggiornato il 2026.06.02

Come comprare ZK

Discussioni

Benvenuto nella Community HTX. Qui puoi rimanere informato sugli ultimi sviluppi della piattaforma e accedere ad approfondimenti esperti sul mercato. Le opinioni degli utenti sul prezzo di ZK ZK sono presentate come di seguito.

活动图片