Indepth Research

Provide in-depth research reports and independent analysis, leveraging data, technology, and economic insights to deliver a comprehensive examination of the blockchain ecosystem, project potential, and market trends.

On-chain Analyst: Why Are Most Zcash Transactions Still Traceable?

Title: Why Most Zcash Transactions Remain Traceable Zcash, a privacy-focused cryptocurrency launched in 2016, was designed to offer anonymity by hiding transaction details like sender, receiver, and amount using zero-knowledge proof technology (zk-SNARKs). However, in practice, a significant portion of ZEC transactions are still traceable on-chain. The key reason is Zcash's dual-address system. It features transparent addresses (t-addresses), which work like standard Bitcoin addresses with all data public, and shielded addresses (z-addresses) that encrypt transaction details. There are four transaction types with varying privacy levels: fully transparent (t→t), partially shielded (t→z and z→t), and fully private (z→z). Despite its privacy capabilities, most real-world Zcash activity involves transparent addresses, primarily because major exchanges and institutions use them for regulatory compliance. As a result, blockchain analytics platforms like Arkham can track and attribute a substantial volume of Zcash transactions. Arkham reports it has identified entities behind over $420 billion in ZEC transaction volume. Case studies highlight this traceability: the U.S. government holds seized Zcash from a dark web case, visible via its transparent wallet, and individual traders' profitable moves are trackable from purchase to exchange deposit. In conclusion, Zcash's privacy is not inherent but user-dependent. While purely shielded (z→z) transactions remain cryptographically private, the prevalence of transparent address usage makes much of the network's activity traceable. The actual privacy protection offered depends entirely on how users choose to transact.

marsbit05/26 06:04

On-chain Analyst: Why Are Most Zcash Transactions Still Traceable?

marsbit05/26 06:04

IOSG: DeFi at Its Most Critical Moment, The Real Vulnerability Lies Not in the Code

In April 2026, a series of major DeFi exploits—targeting Drift Protocol ($285M), KelpDAO ($292M via bridge), and Wasabi Protocol ($4.5M)—revealed a fundamental security crisis. None involved smart contract code vulnerabilities. Instead, losses stemmed from compromised operational foundations: social engineering of multi-signature signers, a single-point-of-failure bridge validator, and stolen admin private keys. This month, where over $625M was stolen across ~30 incidents, marked the collapse of DeFi's core security premise: that rigorous code audits alone ensure safety. The real vulnerabilities lay in trusted operational components—admin keys, governance councils, and bridge configurations—areas audits typically ignore. The KelpDAO incident triggered an asymmetric domino effect: its $2.92B unsupported token mint caused ~$8.5B in outflows from Aave and a $13.2B total DeFi TVL drop in 48 hours, showcasing how one protocol's operational failure can cascade through composable systems. The article argues that most so-called "DeFi" is actually "OpenFi": permissionless and transparent on-chain, but critically reliant on trusted third parties for key operations. This inherent trade-off between decentralization and operational feasibility is often obscured by marketing. The industry's path forward requires honest disclosure of trust assumptions (like L2Beat's framework), treating operational security as a first-class discipline alongside code audits, and designing systems whose risks can be clearly assessed and insured. The April events were not a code security failure but a breakdown in the mental model surrounding it.

marsbit05/26 03:08

IOSG: DeFi at Its Most Critical Moment, The Real Vulnerability Lies Not in the Code

marsbit05/26 03:08

Research on Commercialization Infrastructure for Crypto Agents: In-depth Analysis of Stablecoin as the Core "Native Currency Layer" and Settlement Network

This article explores the commercialization of AI Agents and the critical "payment gap" they face within traditional financial systems. It argues that stablecoins (like USDC, USDT) provide a superior, native "monetary layer" for AI, enabling programmable, permissionless, 24/7, and transparent value transfer essential for autonomous agents. The piece details infrastructure initiatives from key players: Coinbase's AgentKit and Agentic Wallets for on-chain payments; Circle's CCTP for cross-chain USDC transfers and AgentStack for micro-payments; and Stripe's stablecoin APIs bridging traditional commerce. Collaborations like AWS-Stripe-Coinbase and Google-Coinbase are also highlighted. Key application scenarios are analyzed: 1) DeFi yield optimization, where agents autonomously manage capital across protocols; 2) Ultra-micro-payments (e.g., per API call) enabled by low-fee stablecoin protocols like x402 and Gateway; 3) Automated yield generation through yield-bearing stablecoins, transforming agents into self-sustaining economic units. Major challenges to scaling are identified: private key security and risks like prompt injection; regulatory grey areas regarding agent identity (KYA) and liability; and technical risks including smart contract vulnerabilities and ensuring AI intent alignment during financial operations. In conclusion, the fusion of AI Agents and stablecoins is fundamentally reshaping digital commerce settlement. While security and regulation are immediate hurdles, the infrastructure being built paves the way for a self-operating, agent-driven on-chain economy, shifting humans from transaction approvers to system designers.

marsbit05/26 01:04

Research on Commercialization Infrastructure for Crypto Agents: In-depth Analysis of Stablecoin as the Core "Native Currency Layer" and Settlement Network

marsbit05/26 01:04

DeFi Has Reached Its Most Dangerous Moment: The Real Vulnerabilities Are Not in the Code

DeFi in Peril: The Real Vulnerability Isn't in the Code April 2026 marked a paradigm shift in DeFi security, with over $625 million lost across 30 incidents—the worst month in crypto history by event count. Crucially, none of the major exploits (Drift Protocol: $285M, KelpDAO: $292M, Wasabi Protocol: $4.5M) resulted from smart contract vulnerabilities. Instead, failures occurred in the operational "plumbing": social engineering to compromise multi-signature councils, a single-point-of-failure 1-of-1 bridge validator, and stolen admin private keys. These events expose a fundamental misalignment: the industry's security model has long focused on code audits, while the actual attack surface has shifted to privileged access points and off-chain infrastructure. The article introduces the term "OpenFi" to describe this reality: permissionless, on-chain, yet operationally dependent on trusted third parties (admins, validators, oracles) at key junctures. The KelpDAO exploit vividly demonstrated asymmetric "contagion risk." A configuration error in a smaller protocol triggered a panic, causing approximately $13.2 billion in outflows from larger, unaffected protocols like Aave within 48 hours, as users fled uncertain collateral. The core dilemma is the double-edged sword of centralization. Operational levers like emergency councils (e.g., Arbitrum freezing stolen funds post-KelpDAO) enable crisis response but also create catastrophic attack surfaces if compromised (e.g., Drift). The path forward demands radical honesty: protocols must clearly disclose their trust assumptions, operational levers, and failure modes. The industry must treat operational security (key management, configurations, incident response) with the same rigor as code security. Survival depends on building systems whose risks can be understood, priced, and insured, moving beyond the outdated "code is law" mantra to a mature model of disclosed and managed trust.

链捕手05/25 15:17

DeFi Has Reached Its Most Dangerous Moment: The Real Vulnerabilities Are Not in the Code

链捕手05/25 15:17

Galxe: How a Quest Platform Evolved into Web3's Growth Infrastructure

Galxe, once perceived as a simple Web3 quest platform, has evolved into a core growth infrastructure within the Web3 ecosystem. It addresses a fundamental Web3 growth dilemma: the lack of a mature, systematic user acquisition and retention system akin to Web2's advertising and analytics platforms. While users complete quests (social tasks, on-chain interactions) for rewards, Galxe's true innovation lies in transforming these fragmented, one-off actions into lasting, verifiable identity credentials. This process of *behavioral assetization* creates a persistent record of a user's activities across projects and chains. For users, their wallet accumulates a valuable history that can unlock future access and rewards, fostering a "profile-building" mentality. For projects, Galxe provides a pre-screened user pool with rich behavioral data, enabling targeted outreach to users based on their specific on-chain history and community engagement. Galxe employs a gamefied growth path, guiding users from low-friction social tasks into deeper, valuable on-chain interactions through a structured progression of quests. This solves the incentive-behavior mismatch common in Web3, filtering users by their willingness to engage. Beyond quests, products like Passport (identity verification) and Starboard (community analytics) position Galxe as a comprehensive growth operating system. The platform's defensible advantage is its self-reinforcing data and network flywheel: more projects attract more users, enriching behavioral data; richer data enables better user targeting, attracting more projects. Ultimately, Galxe is shifting Web3's growth logic from short-term "reward-driven" traffic towards a long-term "identity-driven" relationship model, where a user's accumulated on-chain履历 becomes a core asset.

marsbit05/25 15:00

Galxe: How a Quest Platform Evolved into Web3's Growth Infrastructure

marsbit05/25 15:00

DeepSeek's $10 Trillion Path: Leveraging Open Source to Pivot a Trillion-Dollar Hardware Ecosystem

This article proposes a strategic analysis of DeepSeek, arguing its goal is not short-term application-layer monetization but a long-term, foundational play to reshape the AI hardware ecosystem. It posits that DeepSeek's series of architectural innovations—MoE, MLA, DSA, CSA, Engram, TileLang—are fundamentally designed to drastically reduce the computational and memory (especially HBM) requirements for training and serving state-of-the-art AI models. By making AI feasible on hardware with lower performance (e.g., using NAND/SSD for KV Cache, LPDDR for weights and Engram storage), DeepSeek aims to foster and benefit from a viable alternative AI hardware supply chain, particularly in China. This strategy could unlock a trillion-dollar valuation for DeepSeek by enabling and owning a stake in a new, massive hardware ecosystem, rather than competing directly on subscriptions or multi-modal features.

marsbit05/25 13:13

DeepSeek's $10 Trillion Path: Leveraging Open Source to Pivot a Trillion-Dollar Hardware Ecosystem

marsbit05/25 13:13

NeoCloud Three Giants: NBIS, IREN, CRWV – Which One Has More Investment Value?

This conversation analyzes the three leading "Neocloud" companies—NBIS (Nebius), IREN, and CRWV (CoreWeave)—in the context of the AI compute boom. The core thesis is that a severe GPU shortage will persist for 3-5 years, creating a massive, durable opportunity for specialized GPU cloud providers to supplement hyperscalers like AWS and Azure. Key differentiators are highlighted: CoreWeave is the early leader with the highest activated power and revenue, focusing on high-value AI training. IREN possesses the largest locked-in power capacity (4.5 GW) but has only secured Microsoft as a major customer so far. Nebius is positioned as the long-term pick due to its unique focus on building an inference-focused software stack ("token factory") and its exceptional engineering-centric team, led by a mathematician CEO with a proven track record. The discussion debunks bearish narratives, noting that Nebius recently raised prices for H100/B200 GPUs by 30-70%, indicating strong pricing power and contradicting fears of rapid GPU depreciation. A simple revenue model is presented: 1 MW of power equates to ~$10M in annual revenue. Nebius's guidance of 5 GW by 2030 implies $50B in revenue, vastly exceeding current consensus. All three companies are expected to succeed in the near-to-medium term due to overwhelming demand. However, for long-term (5+ year) investment, the preference is for Nebius due to its team, software strategy, and valuable stakes in subsidiaries like ClickHouse. The conversation also identifies the networking layer (e.g., Arista Networks) as a critical, underappreciated adjacent opportunity in the AI infrastructure build-out.

marsbit05/25 10:29

NeoCloud Three Giants: NBIS, IREN, CRWV – Which One Has More Investment Value?

marsbit05/25 10:29

Technology Has No Barriers, 24/7 Trading is the Key to Hyperliquid's Success

The article argues that Hyperliquid's competitive edge lies not in technological superiority but in its 24/7 trading model, which fundamentally challenges traditional finance's fixed market hours. Based in Singapore with an 11-person team, Hyperliquid has generated significant revenue and trading volume. Its core advantage is the ability to facilitate trading continuously, including during weekends when major exchanges like the CME are closed. This was demonstrated when Hyperliquid listed a SpaceX pre-IPO perpetual contract on a Sunday, allowing the market to price the company hours before traditional institutions opened. This disruption has drawn regulatory scrutiny from traditional giants like CME and ICE, who cite risks like lack of KYC and market manipulation. However, the article suggests their concern stems from Hyperliquid eroding the "time monopoly" of established markets. The piece contrasts Hyperliquid's synthetic derivatives—pure price-betting contracts with no underlying asset or centralized issuer—with other models like PreStocks (dependent on real股权) and Ondo (licensed but targetable). Hyperliquid's code-based, decentralized structure makes it resilient to takedowns, even if founders face legal action. Ultimately, the author concludes that while it raises legitimate regulatory questions, Hyperliquid's "unforgeable" competitive barrier is the time advantage of non-stop trading, a feature legacy systems cannot replicate.

marsbit05/25 09:05

Technology Has No Barriers, 24/7 Trading is the Key to Hyperliquid's Success

marsbit05/25 09:05

The Real Progress and Investment Opportunities of Decentralized AI Computing Power Networks in 2026

In 2026, the AI compute market is marked by centralized GPU consolidation and a significant GPU shortage for smaller players. In this context, Decentralized Physical Infrastructure Networks (DePIN), valued at $9.4B+, have emerged as a viable, revenue-generating alternative. Leading protocols like Aethir ($150M ARR), io.net (130k+ GPUs), Akash, Bittensor, and Render are carving out distinct niches, moving beyond hype to deliver verifiable income primarily from non-crypto-native clients. The key advantage of decentralized GPU networks lies in serving latency-tolerant, cost-sensitive workloads like AI inference, fine-tuning, data preprocessing, and agent operations, offering substantial cost savings (45-80%) compared to major cloud providers. However, reliability variance, lack of robust SLAs, and fragmented tech stacks remain significant adoption hurdles. The sector is maturing with critical 2026 shifts: 1) Evolution of tokenomics towards demand-driven, revenue-linked models (e.g., Render's BME, io.net's IDE), and 2) Clearer enterprise adoption pathways, with traditional firms integrating decentralized compute. For new entrants, opportunities are now concentrated in specialized tooling layers (orchestration, verification, SLA management), vertical applications (e.g., bio-med, content generation), and innovative token designs tied to real usage, rather than generic GPU aggregation. The convergence with the emerging AI Agent economy presents a significant future growth vector.

marsbit05/25 08:01

The Real Progress and Investment Opportunities of Decentralized AI Computing Power Networks in 2026

marsbit05/25 08:01

The Iran Deal Is Not a Finale, But a 60-Day Political Respite

The reported "Iran deal" is not a comprehensive peace agreement, but a proposed 60-day memorandum of understanding. During this period, Iran would clear mines from the Strait of Hormuz, the US would lift its naval blockade, and Iran would receive a sanctions waiver to sell oil, with formal nuclear negotiations to follow. However, the core structural conflicts remain unresolved: Iran's stockpile of highly enriched uranium, ultimate control of the Strait, the sequence of sanctions relief versus nuclear concessions, and the potential for Israeli unilateral action to derail the process. The article highlights deeper geopolitical currents: China is indirectly shaping talks via Pakistan to restore Iranian oil flows and curb US dominance, while trade routes through Oman and the UAE create leaks in the US blockade. Parallel US diplomatic efforts aim to draw India into its security framework, though India remains cautious. Ultimately, the deal offers short-term political breathing room for both Washington and Tehran. The true test will come after the 60-day window, when the irreconcilable demands—US insistence on nuclear rollback versus Iran's determination to retain the Strait as a deterrent—will resurface, determining if this is a path to peace or merely a managed pause in the conflict.

marsbit05/25 07:51

The Iran Deal Is Not a Finale, But a 60-Day Political Respite