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.

Base's Growth Dilemma: Why Did Everything Go Right, But Users Still Leave?

Based on the Japanese philosophical concept of "basho" (a field or place that shapes its inhabitants), this analysis explores why Base blockchain, despite initial explosive growth, is now facing a significant user exodus. Launched by Coinbase in 2023, Base quickly became the fastest-growing Layer 2 (L2) solution, reaching a peak of 1.72 million daily active addresses and $5.6 billion in TVL by late 2025. Its immense distribution power from Coinbase's 100 million users created strong belief it would solve Ethereum's user adoption problem. However, after confirming a token launch in September 2025, active addresses plummeted by 73% to 458,000 by March 2026. The analysis attributes this to Base building a mere "location" for transactions rather than a "basho"—a meaningful context where users form identities and relationships. Its bet on a tokenized creator economy via Zora also failed; 99.7% of created tokens became inactive. The core issue is that financial incentives can attract users but cannot fabricate a genuine reason to stay. Unlike a "third place" (e.g., a community square), which people return to for non-transactional reasons, Base was designed for extraction, leading users to leave once incentives dried up. The piece contrasts Base with chains like Arbitrum and Hyperliquid, which, despite also seeing declines, retained users through unique community identity and experiences rather than mere speculation. The conclusion is that the entire L2 model is cooling, and sustainable growth requires building an irreplaceable ecosystem that shapes user identity—something that cannot be engineered through incentives alone. Base's pivot to a self-custody trading app is a rational retreat, admitting its original vision to create a social, habitable chain failed to materialize.

marsbit04/02 06:07

Base's Growth Dilemma: Why Did Everything Go Right, But Users Still Leave?

marsbit04/02 06:07

The $59 Billion Illusion: How the Female Version of Buffett Fell from Grace?

"Cathie Wood, once hailed as the 'next Warren Buffett' and a star among millennial investors, saw her flagship ARKK ETF soar to a peak of $59 billion in assets under management (AUM) by February 2021. Her strategy of betting on disruptive technologies like Tesla, genomics, and AI—while publicly sharing her research and daily trades—initially delivered staggering returns, with ARKK surging 152% in 2020 as she doubled down during the COVID crash. However, rising interest rates exposed the fragility of her high-growth, unprofitable tech holdings. ARKK plummeted nearly 75% from its peak, erasing over $50 billion in AUM by 2026. Critics labeled her approach—essentially applying venture capital (VC) logic to public markets—as fundamentally flawed. Unlike VC, where losses are absorbed by private gains, public markets impose real-time pricing and liquidity pressures, accelerating losses during downturns. Ironically, while Wood correctly predicted the AI revolution, she sold NVIDIA early—missing out on over $1.2 billion in gains—to maintain her "anti-consensus" brand and focus on smaller, speculative names. Her daily transparency and massive scale turned her into a target, as markets anticipated her moves. Despite recent pivots back into gene editing and AI infrastructure, her assets remain a fraction of their peak, underscoring the gap between predicting trends and profiting from them."

marsbit04/02 04:13

The $59 Billion Illusion: How the Female Version of Buffett Fell from Grace?

marsbit04/02 04:13

Agentic Workflows for Crypto Research

AI coding agents are transforming crypto research by automating data analysis through natural language. This article demonstrates using an agent (like Claude Code) with the Glassnode CLI to test a hypothesis: whether extreme Bitcoin exchange inflows predict 7-day price drawdowns. The agent autonomously discovers metrics, fetches data, performs statistical analysis, and generates insights. Results show a moderate association—spike days saw ~1.9% greater drawdowns—though the sample is small. A follow-up prompt produces visualizations for validation. The workflow allows rapid iteration and is applicable to various research questions using Glassnode data, requiring only an API key and an AI agent.

insights.glassnode04/01 12:41

insights.glassnode04/01 12:41

Will Middle Management Be Replaced by AI? What Will the Future Company Structure Look Like

The article explores whether AI will eliminate middle management and reshape future corporate structures. It traces the historical evolution of organizations—from Roman military units to modern corporations—showing how hierarchical systems emerged to manage information flow under the constraint of limited "span of control." Middle management, matrix structures, and bureaucratic systems were all solutions to coordination challenges in information-scarce environments. AI, however, challenges this foundational premise. By enabling real-time modeling, understanding, and distribution of information, AI could replace human-centric coordination mechanisms. Examples like the AI firm "Moon Dark Side" illustrate radical experiments: no departments, titles, or traditional KPIs, with co-founders directly managing large teams and AI agents handling tasks from data processing to code generation. Block (founded by Jack Dorsey) is presented as a case study in building an "intelligent company." This model relies on two core components: a "company world model" (a real-time understanding of internal operations via digital traces) and a "customer world model" (built from real behavioral data, especially financial transactions). An intelligence layer uses these models to dynamically combine capabilities (e.g., payments, lending) to serve customers proactively, without pre-defined product roadmaps. In this structure, traditional roles shift. Middle managers are replaced by a system that handles coordination, while humans focus on individual contributions (ICs), direct responsibility (DRIs), or player-coach roles. The organization becomes flatter, faster, and more adaptive. The article concludes that AI is not just a tool for efficiency but a transformative force that could redefine organizational design, moving companies from human-led hierarchies to system-driven intelligence.

marsbit04/01 08:11

Will Middle Management Be Replaced by AI? What Will the Future Company Structure Look Like

marsbit04/01 08:11

BitMart VIP Insights: March Crypto Market Review and Hotspot Analysis

BitMart VIP Insights: March 2026 Crypto Market Review and Analysis March saw a mixed macro environment with a hawkish Fed holding rates steady amid persistent inflation, rising oil prices, and weakening employment, raising stagflation concerns. Equities and risk assets weakened. Crypto trading volume showed volatile spikes but lacked sustainability, with total market cap stabilizing around $2.45–2.50T after a mid-month peak. BTC and ETH spot ETFs reversed from outflows to net inflows, with ETH showing stronger capital return and price elasticity. Stablecoin supply expanded modestly but concentrated in major tokens, indicating cautious liquidity return rather than broad risk-on sentiment. BTC traded between $62K–$74K, currently around $69K–$71K, while ETH was weaker in the $1.9K–$2.2K range. SOL was relatively resilient between $82–$97. Key developments included a landmark SEC/CFTC joint framework classifying 16 major assets (including BTC and ETH) as digital commodities, significantly improving regulatory clarity. BlackRock launched the first staking-enabled ETH ETF (ETHB), shifting crypto ETFs from pure price-trackers to yield-generating assets. However, security incidents like the Resolv Labs private key attack highlighted growing off-chain risks. April will be critical for crypto regulation, with the CLARITY法案 potentially advancing. The Ethereum Glamsterdam upgrade enters key testing, and Fed Chair Powell’s term end adds policy uncertainty. Macro data, geopolitics, and ETF flows will remain key market drivers.

marsbit04/01 03:32

BitMart VIP Insights: March Crypto Market Review and Hotspot Analysis

marsbit04/01 03:32

Crypto Market First Major Outflow In 5 Weeks – Here’s How Bitcoin And Ethereum Performed

After five consecutive weeks of inflows, the cryptocurrency market experienced its first major capital outflow, with over $414 million withdrawn last week. This shift in investor sentiment was largely driven by rising rate expectations and geopolitical tensions involving Iran. The United States led the selling activity with $445 million in outflows, while regions like Germany and Canada saw inflows. Ethereum bore the brunt of the sell-off, recording approximately $222 million in outflows. In contrast, Bitcoin maintained a net inflow of over $964 million year-to-date despite the negative weekly performance. Analysts suggest this single week of outflows may not indicate a full trend reversal, but it has reduced market momentum. If macro conditions stabilize, inflows could resume in the coming weeks.

bitcoinist03/31 23:01

Crypto Market First Major Outflow In 5 Weeks – Here’s How Bitcoin And Ethereum Performed

bitcoinist03/31 23:01

Research Status Report on AI Payment Protocols: The New Paradigm of Payment in the Agent Economy

AI Payment Protocol Research Status Report: A New Paradigm for Agent Economy Payments This report analyzes the rapid evolution of payment infrastructure designed for AI agents, driven by major industry moves from OpenAI, Google, Visa, Mastercard, Coinbase, and Stripe between late 2025 and early 2026. The core challenge is that traditional payment systems, built for human interaction, are incompatible with AI agents that require machine-readable interfaces, millisecond authorizations, and support for high-frequency micro-transactions. The emerging infrastructure is forming a two-layer architecture: 1. **Intent Orchestration Layer:** Translates agent intent into executable transactions. Two key segments exist: * **Agent Shopping for Humans:** Focuses on enabling agents to shop on human-centric e-commerce platforms. Protocols include OpenAI & Stripe's closed **Agentic Commerce Protocol (ACP)** and Google's open **Universal Commerce Protocol (UCP)** for standardized merchant interfaces. * **Agent-to-Agent (A2A) Transactions:** Solves trust issues in environments without human merchants, using blockchain-based smart contracts like **ERC-8183** for task execution and payment escrow. 2. **Settlement Layer:** Handles the actual movement of funds. Key competing protocols include: * **Stripe's SPT & Card Network Upgrades (Visa/Mastercard):** Extend existing card payments with delegated authorization tokens, ideal for standard retail but unsuitable for micro-payments. * **Coinbase's x402:** Uses the HTTP 402 status code for on-chain atomic swaps with stablecoins (e.g., USDC), enabling low-fee, account-less payments. * **Circle's Nanopayments:** An x402 enhancement for extreme micro-payments using off-chain batch processing. * **MPP (Stripe & Tempo):** A unified, pluggable framework supporting multiple payment rails (stablecoins, fiat, card tokens, Lightning Network) within a single "payment session." **Current State & Opportunities:** While core protocols are live, commercial adoption lags due to fragmentation in the intent layer. The key opportunities are: * **Settlement Layer:** Building multi-rail Agent wallets that abstract complexity and can route transactions across different payment protocols is a definitive, high-value opportunity. * **A2A Economy:** A significant blue-ocean opportunity exists in creating API services for agents to consume (e.g., data analysis, content creation) on a pay-per-use model (e.g., via HTTP 402), moving beyond subscription models. The future will see a dual-track evolution: consumer-facing agent commerce relying on card rails, and A2A transactions thriving on stablecoin rails. The inflection point will be when enterprises delegate spending authority to agents, making multi-rail wallets and service directories critical, unclaimed infrastructure.

marsbit03/31 14:46

Research Status Report on AI Payment Protocols: The New Paradigm of Payment in the Agent Economy

marsbit03/31 14:46

Cursor vs. Anthropic and OpenAI: Thanks for Raising Me, Now I'm Here to Take the Market

Cursor, a VS Code plugin initially built on OpenAI's API, has transitioned from a dependent customer to a formidable competitor by launching its proprietary coding model, Composer 2. This model reportedly outperforms Claude Opus 4.6 on key benchmarks at one-tenth the cost. The case exemplifies a critical strategic dilemma in tech—when to open or close an API. The authors propose a framework: opening an API risks eroding a company’s moat if competitors can use it to bootstrap their own products and aggregate demand, eventually enabling vertical integration. This is especially risky in AI, where API outputs can directly improve a rival’s model training and product refinement—exactly what Cursor achieved by leveraging OpenAI and Anthropic models to gather user data and refine its own offering. Companies then face two choices: restrict API access (like Twitter, which closed its API to protect its social graph) or keep it open but find alternative moat, such as network effects or Lindy effects (like crypto protocols, e.g., Morpho). The authors predict that leading AI companies (like OpenAI and Anthropic) will likely restrict access to their most advanced models over time, as switching costs remain low, network effects are weak, and distillation techniques reduce training costs. This could stifle consumer AI innovation but create opportunities for open alternatives.

marsbit03/31 07:35

Cursor vs. Anthropic and OpenAI: Thanks for Raising Me, Now I'm Here to Take the Market

marsbit03/31 07:35

Has a Global Economic Recession Quietly Begun?

The article examines the potential onset of a global recession not merely as an economic outcome but as a strategic state shaped by energy shocks, geopolitical tensions, and constrained monetary policies. Central banks, particularly in energy-import-dependent economies like Japan and the Eurozone, face a policy "trap": they cannot ease without risking entrenched inflation nor tighten without crushing fragile growth. This dynamic redistributes geopolitical leverage, as recession weakens a nation’s negotiating power, capital attractiveness, and external credibility. Governments are thus using fiscal and diplomatic tools to buy time and avoid being forced into negotiations during a downturn. The analysis suggests that markets are increasingly pricing in the expectation that policymakers will tolerate asset valuation inflation to avoid recession, with capital flows and currency movements reflecting which economies escape these constraints. The piece concludes that the interplay between macroeconomics and geopolitics is driving a systemic shift, where traditional monetary tools are失效 and strategic positioning is paramount.

marsbit03/31 04:35

Has a Global Economic Recession Quietly Begun?

marsbit03/31 04:35

Lorenzo Founder: Is the Crypto-Native Economy Dead? The Triple Dilemma of Crypto Civilization

Lorenzo founder Matt Ye argues that the crypto industry's core issues—such as declining asset quality, innovation stagnation, rampant scams, and institutional hesitation—are not cyclical but stem from a deeper civilizational crisis. He identifies three evolutionary stages of crypto’s "civilization": 1. **DeFi’s Anarchic Black Market**: A lawless environment where rug pulls and exit scams are rational, optimal strategies due to the absence of rules and accountability. 2. **CEX Feudalism**: Centralized exchanges impose order and reduce trust costs but create a “planned economy” that stifles innovation and prioritizes narratives aligned with exchange interests. 3. **Wall Street Colonization**: Traditional finance enters not to build but to exploit—imposing its own rules, extracting value, and offering no genuine support for crypto-native innovation. Ye concludes that the industry’s failures—poor native assets, lack of breakthrough innovation, distrust from serious institutions, and high骗子 density—are symptoms of a missing institutional foundation. Without accountable systems, either predation or idealism fills the void. The critical question remains: what is the next civilizational form for crypto?

marsbit03/31 04:22

Lorenzo Founder: Is the Crypto-Native Economy Dead? The Triple Dilemma of Crypto Civilization