CoinFound × OSL Research Launches Stablecoin Research Collaboration, First Phase Focuses on USDGO

marsbitОпубліковано о 2026-04-09Востаннє оновлено о 2026-04-09

Анотація

CoinFound and OSL Research have launched a stablecoin research partnership, with the initial phase centered on USDGO. The collaboration will conduct thematic research on the USDGO stablecoin ecosystem, utilizing on-chain data analysis and market structure observations. The study aims to explore the development path of stablecoins within the digital financial system and their application potential in trading, settlement, and on-chain financial scenarios. As stablecoins increasingly serve as a bridge between traditional finance and on-chain financial infrastructure, there is growing demand for research into their issuance mechanisms, liquidity structures, and ecosystem synergies. CoinFound and OSL Research will collaborate on building research frameworks and sharing industry insights. Their joint efforts will include co-developing research content, establishing data analysis frameworks, and publishing findings through reports, market observations, and thematic analyses. OSL Research, part of the OSL Group, focuses on in-depth digital asset research and provides forward-looking market insights. CoinFound specializes in Web3 data and research, offering analysis of asset structures and capital flow trends through on-chain analytics. Together, they aim to advance stablecoin research and provide clearer industry benchmarks for the digital asset market.

As the first research direction of the collaboration, both parties will conduct a thematic study on the USDGO stablecoin ecosystem. Through on-chain data analysis and market structure observation, they will explore the development path of stablecoins in the digital financial system and their application potential in trading, settlement, and on-chain financial scenarios.

As stablecoins increasingly become a critical bridge connecting the traditional financial system with on-chain financial infrastructure, market demand for research on stablecoin issuance mechanisms, liquidity structures, and ecosystem synergy continues to grow. Against this backdrop, the collaboration between CoinFound and OSL Research will focus on building a joint research framework and delivering industry insights. Both parties will cooperate in co-creating research content and data analysis frameworks, releasing findings to the market through joint research reports, industry observations, and thematic analyses.

OSL Research, a subsidiary of the OSL Group, specializes in in-depth research on the digital asset industry, providing forward-looking market insights.

CoinFound focuses on Web3 data and research, offering insights into asset structures and capital flows through on-chain analysis and industry research.

Both parties aim to promote the continuous deepening of stablecoin-related research through this collaboration and provide clearer industry references for the digital asset market.

Пов'язані питання

QWhat is the primary focus of the initial research collaboration between CoinFound and OSL Research?

AThe initial research will focus on the USDGO stablecoin ecosystem, examining its development path in the digital financial system and its application potential in trading, settlement, and on-chain financial scenarios.

QWhy is there an increasing market demand for research on stablecoins according to the article?

ABecause stablecoins are increasingly becoming a critical bridge connecting the traditional financial system with on-chain financial infrastructure, raising the need for studies on their issuance mechanisms, liquidity structures, and ecological synergy.

QWhat specific areas will the CoinFound and OSL Research collaboration cover in terms of methodology?

AThe collaboration will cover joint building of research frameworks and data analysis frameworks, utilizing on-chain data analysis and market structure observation.

QWhat are the respective research specialties of OSL Research and CoinFound as described in the article?

AOSL Research focuses on in-depth research of the digital asset industry and provides forward-looking market insights. CoinFound specializes in Web3 data and research, offering insights into asset structures and fund flows through on-chain analysis and industry research.

QWhat is the ultimate goal of the research partnership between CoinFound and OSL Research?

AThe goal is to promote the continued deepening of stablecoin-related research and provide clearer industry references for the digital asset market.

Пов'язані матеріали

The King of Blind Date Attire in Korea: How SK Hynix Made a Comeback Against Samsung?

In South Korea's dating scene, SK Hynix employees are now highly sought after, a status shift fueled by the company's astronomical profits and employee bonuses, projected to reach up to 6.1 million RMB per person by 2027. This marks a dramatic reversal for the long-time second-place player in memory semiconductors, which has now surpassed its rival Samsung in annual operating profit. The turnaround story began in 2008 when a struggling Hynix, emerging from bankruptcy restructuring, took a risky bet by agreeing to develop High Bandwidth Memory (HBM) with AMD. At the time, HBM had no clear market beyond high-end graphics cards and was a costly, complex technology. Major players like Samsung, pursuing its own HMC technology, declined. For Hynix, with only memory as its core business, it was a gamble born of necessity. The pivotal moment came in 2012 when SK Group Chairman Chey Tae-won acquired Hynix. Defying industry downturns, he invested heavily in R&D and fabrication, sustaining the HBM project through over a decade of commercial uncertainty and internal challenges. A key break occurred around 2016-2017 when Samsung faced production issues supplying HBM2 for Google's TPU, allowing SK Hynix to gain a crucial foothold in the data center market. The AI explosion post-ChatGPT in 2022 was the catalyst, turning HBM into a critical bottleneck for AI accelerators like NVIDIA's GPUs. By 2025, SK Hynix captured 62% of the global HBM market, leaving Samsung at 17%. For the first time, its annual operating profit exceeded Samsung's. Analysts point to the "innovator's dilemma" to explain Samsung's miss: its vast, successful business portfolio made it risk-averse, preventing an all-in bet on the initially niche HBM technology. In contrast, SK Hynix, as a challenger with its back against the wall, had no choice but to commit fully. The story highlights how Korea's chaebol system allows for ultra-long-term bets beyond quarterly pressures. However, SK Hynix's lead isn't guaranteed. Samsung is aggressively catching up on HBM4, and challenges like customer concentration (heavy reliance on NVIDIA) and technical hurdles in advanced packaging remain. The narrative underscores a market truth: the greatest alpha often comes from betting on uncertain, long-term directions others dismiss, much like HBM in 2008.

marsbit10 хв тому

The King of Blind Date Attire in Korea: How SK Hynix Made a Comeback Against Samsung?

marsbit10 хв тому

US Stock Storage Fever Spreads to Crypto for the Third Time, VVV Leads 'AI Data Infrastructure' Sector Gains

U.S. stock storage rally spreads to crypto for the third time, with VVV leading the 'AI data infrastructure' sector. On May 11, Venice Token (VVV) surged 17.63% with $65.05M volume, followed by Chainbase, SQD, and Vana, rising 5-8%. This mirrors gains in U.S. storage stocks like SanDisk and Micron. The crypto AI narrative is shifting. The initial wave (May 6-7) saw pure storage tokens like FIL, AR, and STORJ rise, driven by spillover from the U.S. storage chip boom. The second wave saw broader DePIN sector gains. The current third wave has moved beyond pure storage to broader "AI infrastructure." VVV, a decentralized AI inference platform, leads due to its own catalysts like a token burn mechanism and partnership news, alongside the broader market trend. Notably, traditional storage tokens showed minimal gains (<4%) on May 11, indicating the rally is becoming more selective, focusing on projects with specific narratives like AI data or compute. The pattern suggests the sector rally may be in a later stage, with sustainability depending on whether the U.S. storage chip boom continues.

marsbit20 хв тому

US Stock Storage Fever Spreads to Crypto for the Third Time, VVV Leads 'AI Data Infrastructure' Sector Gains

marsbit20 хв тому

Understanding Hash in One Article: The "Browser Miner" on Ethereum

Hash is an Ethereum-based ERC-20 token described as a "browser-minable post-quantum token." Its key features include enabling browser-based GPU mining without specialized hardware, a fixed supply cap of 21 million tokens, immutable and permissionless smart contracts with no team allocation or pre-mining, and an emphasis on post-quantum security using Keccak256 hashing. The mining mechanism is a simplified on-chain proof-of-work where miners solve unique challenges tied to their wallet address. Key design elements prevent answer theft, with epochs resetting every 100 blocks (~20 minutes) and a per-block minting limit. Emission follows a Bitcoin-like halving schedule every 100,000 mints, starting at 100 tokens per mint. Projections suggest all tokens could be mined within approximately 294 days if a target rate of one mint per minute is sustained. Hash emphasizes "post-quantum" security by leveraging hash-based primitives like Keccak256, which are considered more resistant to quantum attacks compared to elliptic-curve cryptography. While not a fully post-quantum asset, it aligns with Ethereum's broader post-quantum research narrative. The project completed its Genesis sale at $0.03 and began trading on Uniswap, with its price reaching around $0.19. The initial circulating supply is small, with 5% sold in Genesis and 5% allocated to liquidity. The majority (47.6% of total supply) is allocated to early-stage mining, leading to a front-loaded emission schedule. This structure, combined with low initial liquidity, makes Hash a high-volatility, high-risk project dependent on sustained miner participation and market demand to absorb new supply.

marsbit23 хв тому

Understanding Hash in One Article: The "Browser Miner" on Ethereum

marsbit23 хв тому

OpenAI's Largest Internal Wealth Creation: 600 People Cash Out a Total of $6.6 Billion, 75 Take Home the Maximum $30 Million Each

A Wall Street Journal report reveals OpenAI's unprecedented pre-IPO wealth creation. In a single employee stock sale last October, over 600 current and former employees sold shares, collectively cashing out approximately $6.6 billion. Due to high investor demand, the company tripled the individual sale cap to $30 million, with about 75 employees selling the maximum amount. This event represents the largest such transaction in tech industry history for a private company. OpenAI's valuation was $500 billion for this tender offer. Employees with over two years of tenure were eligible, allowing many post-ChatGPT hires their first liquidity event. The company's stock has reportedly grown over 100-fold in seven years. Following a restructuring, employees collectively hold about 26% of OpenAI. The scale of executive wealth is also staggering. In court testimony related to Elon Musk's lawsuit, President and co-founder Greg Brockman confirmed his OpenAI stake is worth around $30 billion. Analysis indicates about 165 current and former employees hold a combined ~$164.9 billion in equity, averaging nearly $1 billion per person in paper wealth. OpenAI's per-employee stock-based compensation is estimated to be 34 times the average of major tech firms before their IPOs. OpenAI continues its rapid ascent, closing a $122 billion funding round at an $852 billion valuation in March. With monthly revenue hitting $2 billion, over 900 million weekly ChatGPT users, and plans for a potential trillion-dollar IPO in late 2026, this wealth-creation engine shows no signs of stopping.

链捕手46 хв тому

OpenAI's Largest Internal Wealth Creation: 600 People Cash Out a Total of $6.6 Billion, 75 Take Home the Maximum $30 Million Each

链捕手46 хв тому

An In-Depth Analysis of the Reasons Behind the Recent Surge in the Memory Storage Industry

"Understanding the Recent Boom in the Memory Industry" summarizes the key structural shift in the memory sector driven by AI. Traditionally, the memory industry (DRAM, NAND) has been highly cyclical, with prices driven by inventory cycles and consumer electronics demand, which can be deferred. However, AI has fundamentally changed the demand structure. AI workloads create continuous, non-deferrable demand for high-bandwidth memory (HBM) due to GPU memory bottlenecks. This high-margin HBM production is prioritized by major manufacturers like Samsung, SK hynix, and Micron, structurally reducing the supply of traditional DRAM and NAND. Consequently, the market is transitioning from a spot-based model to a contract-based allocation system. HBM supply is reportedly booked through 2026, leading to spot shortages and sharp price increases for other memory types. Delivery lead times have also extended dramatically. Pricing power is shifting from the open market to those with long-term contracts. Primary beneficiaries are HBM-leading suppliers and large hyperscalers (Microsoft, AWS, Google) that can lock in future supply. Key risks to this "AI supercycle" include a potential slowdown in AI capital expenditure, disruptive new memory architectures, or a return to aggressive industry capacity expansion, which could reintroduce cyclicality.

marsbit48 хв тому

An In-Depth Analysis of the Reasons Behind the Recent Surge in the Memory Storage Industry

marsbit48 хв тому

Торгівля

Спот

Ф'ючерси