Grass
Grass: DePIN or AI-related crypto resource.
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Grass is indexed in ABAB Crypto Map under DePIN & AI. This page keeps the official site, category, tags, and related ABAB coverage together as a searchable crypto project profile. Official domain: getgrass.io.
Related News & Analysis
Grassroots Starting from Thousands of Stores: Hobby Lobby Founder David Green Talks Cash Flow, SKU Control, and Long-Termism
Business Starting Point and Key Data • Extremely low-cost startup: Founder David Green started with a $600 loan, initially not directly entering high-cost retail, but instead produced miniature picture frames in his garage and wholesaled them to craft stores. • Initial capital allocation: Of the $600 startup funds, $450 was used to purchase a frame cutting machine (Chopper), and the remaining funds were used to buy glue, wooden strips, and other raw materials, as well as sales sample catalogs. • Business scale and volume: • The first physical retail store opened in 1970 in Oklahoma City, covering only 600 square feet. • After more than 50 years of development, there are currently over 1,100 stores across 48 states in the U.S. • Annual revenue is expected to reach approximately $10 billion, with the founder's personal net worth exceeding $13 billion. • Profitability and sales performance of individual products (using data from the headquarters layout showroom as an example): • A single popular craft item: monthly sales can reach 28,000 units, contributing approximately $95,000 in profit per month (annual profit of about $1.2 million). • Evergreen staple products like strong glue (e.g., Gorilla Glue): monthly sales of about $84,000, with annual profit contribution close to $3 million based on comprehensive gross profit calculations. Core Operating Mechanism: Centralized "Layout Showroom" and SKU Control • Highly standardized layout showrooms: • The headquarters campus has over 12 large layout showrooms, covering tens of thousands of square feet, used to simulate the shelf displays and flow of all stores. • Strict space allocation standards: The system specifies the number of each product to be displayed in each standard store based on historical and forecasted sales (e.g., a certain product has a fixed baseline inventory of 3 units), ensuring that over 90% of stores nationwide have consistent visual and shelf heights. • "Middle Way Philosophy" of SKU quantity and dynamic elimination mechanism: • Restraint on category expansion: Disorderly stocking is strictly prohibited, as too many category choices dilute attention on individual products and increase inventory complexity; too few cannot meet demand, and buyers must find the optimal balance through long-term data research ("Study, Study, Study"). • Last-in elimination dynamic cycle: Taking book displays as an example, a rolling mechanism of "add 10, eliminate 10" is used to eliminate slow-moving SKUs in real-time based on turnover efficiency, ensuring shelf productivity. Financial Strategy and Capital Principles: Zero-Leverage Model • The most painful lesson in entrepreneurship: Early on, the company relied on bank loans for expansion and nearly faced forced liquidation and foreclosure when the company encountered temporary losses. • Strict zero-debt policy: • After learning from the brink of bankruptcy, the company established a bottom-line rule prohibiting long-term commercial borrowing. • Short-term turnover loans are only taken before specific peak seasons like Christmas, and all loan balances are cleared before the end of the December peak season each year. • Business expansion relies entirely on self-generated operating cash flow and reinvestment of net profits, refusing to overdraw risk-bearing capacity through financial leverage. Operational Philosophy and Value Choices • Minimalist management against scale complexity: • Faced with the massive operational decisions brought by over 1,100 stores and nearly 70,000 SKUs (77 million potential cross-decisions), the "Keep It Simple" principle is strictly enforced, reducing decision-making levels to a minimum through standardized templates. • Enduring short-term economic losses to uphold bottom lines: • Sunday closure for all employees: Defying the industry norm of competitors being open all week, all stores nationwide insist on closing on Sundays, allowing employees to return to family and faith, resulting in short-term loss of significant revenue but gaining employee loyalty and brand reputation. • Actively giving up specific profitable categories: Based on values and moral considerations, the company has completely stopped selling traditional blockbuster holiday items like Halloween products, not using pure profit as the sole guide. • Wealth positioning and stewardship thinking: • Positioning itself as a "steward" of assets rather than the "ultimate owner," believing that wealth is only temporarily entrusted. • For a long time, the company has donated 60% of its after-tax net profits directly to charity and public welfare, with cumulative donations reaching billions of dollars. Implementation Verification Checklist (for reflection on physical retail and supply chain operations) 1. Single-store SKU and productivity audit: Investigate whether the existing product line has fallen into the misconception that "more varieties are better," and calculate the funds and shelf resources occupied by the bottom 20% of slow-moving products, establishing dynamic elimination standards. 2. Standardized display execution verification: Check whether each branch or channel's inventory has a clear standard diagram (Planogram), eliminating arbitrary stocking and placement by stores. 3. Debt structure and cash flow stress testing: Calculate the safety margin of existing short and long-term debts and interest expenses under extreme conditions of a 30%-50% drop in revenue, assessing the feasibility of gradually transitioning to internally generated profit. 4. Simplified decision-making chain testing: Streamline the procurement and operational decision-making process from frontline stores to headquarters, eliminating redundant approval steps, replacing complex manual decisions with clear rules. Source video: https://www.youtube.com/watch?v=gWDTb7wseUY
GMGN.AI: The Rise from Grassroots Meme Tool to Leading "Modular CEX" and In-depth Analysis of Its Founder
1. Overview: What is GMGN.AI and Who Leads It (1) Platform Positioning GMGN.AI is essentially a "multi-chain Meme trading terminal + data tool". Its product forms include a web platform, an app, and a Telegram bot. GMGN is not a traditional centralized exchange but rather an upper-layer tool that provides data analysis, trading routing, and automated execution services around decentralized exchanges like Pump.fun and Raydium. GMGN explicitly states in its Google Play disclosure that the app is not an exchange but a platform that combines data analysis, trading access, self-custody wallets, and custodial tools. (2) Founders and Key Figures GMGN has at least three identifiable core figures: Haze, known as "Chicken Brother" in the Chinese community, is a co-founder of GMGN and the most recognizable representative. He is primarily responsible for sales, branding, community operations, and external narratives, regarded by some community members as the soul of GMGN. Jerry Ma is the founder and CEO of GMGN, with a background in tool product development, having participated in the creation of NFTTrack. He is mainly responsible for product coordination, company management, and product development direction, serving as the core leader at the company level. Arthur's X account is @arthur_gmgn, and he is publicly identified as a co-founder of GMGN.AI, involved in team operations and external communications, but there is limited public information about him, mostly remaining at the social media identity level. (3) Product and Team Profile The GMGN team mainly consists of product managers and engineers with long-term experience in tool product development, most members having backgrounds in large Web2 internet companies or tool-based products. The team size has expanded from about 9-10 people initially to over 30, with personnel mainly focused on product, technology, and infrastructure roles, without establishing a large business development or marketing team. The internal role division is relatively clear: Jerry, as the product head and founder, leads the product direction. Haze is responsible for sales, branding, user operations, and external markets, positioning himself on the front lines. Other core members mainly handle product development, data processing, trading infrastructure, and security systems. 2. Family Background and Growth Environment (1) Birth Time and Region Haze states he was born in August 1987, belonging to the typical "post-85" generation, with the zodiac sign of Leo, and grew up in Hunan, China. He emphasizes his ordinary background, with no family capital or technical genius background. Currently, he has lived in Singapore for about four years, using it as a base to observe the global cryptocurrency market and operate GMGN. (2) Family Class and Parent Information Haze repeatedly emphasizes in interviews that he did not have grand dreams early on, with the most direct goal being to make money. He has stated that he previously worked in a very small place, following a typical ordinary career path. These statements point to a middle to lower-class workplace background in ordinary cities or counties in China, rather than a wealthy family, elite family within the system, or a family with abundant entrepreneurial resources. There is limited public information about his parents' professions, family asset status, and other family members. (3) Personality and Interests Public reports focus more on Haze's personality and interests after adulthood. His MBTI test result is INTJ-A. He considers himself a relatively introverted person but has to play a high-exposure, expressive extroverted marketing role on social media due to work needs. He enjoys rap music, including Eminem, Kendrick Lamar, Trap, and Memphis Rap. This cultural preference allows him to resonate more easily with the young Meme player community and reinforces his interest in sharpness, confrontation, and PVP game culture. He summarizes his personality as: generally introverted, inclined towards rational analysis and strategic thinking, but daring to bet on clear trends in product and market choices. This personality later directly manifested in key decisions like All in Meme and All in Solana. 3. Educational Background and Sources of Thought (1) Formal Education Haze clearly states that he did not attend university and does not come from a prestigious school or professional background. He first entered the workforce and later transitioned into the cryptocurrency industry due to Bitcoin news, self-learning quantitative trading, blockchain, and market knowledge. This experience is significantly different from the paths of many Web3 entrepreneurs who come from prestigious technical schools or have studied abroad, resembling the development path of frontline traders and practical tool developers. (2) Self-Learning Path and Knowledge Structure In 2018, Haze joined a quantitative company engaged in grid trading. He wrote an early systematic tutorial on grid trading on a blogging platform, gaining initial reputation in the quantitative trading circle. From public interviews, he is clearly influenced by the following categories of thoughts and texts: "The Art of War": Used to think about how to gain advantages through unconventional means. He views the market as a battlefield, understanding product iteration and trading games as military processes. "Tao Te Ching": The GMGN team has organized readings and sharing of the "Tao Te Ching", attempting to constrain the team in a more restrained and long-term manner, maintaining a certain moderation in the extremely PVP Meme market. Data transparency and self-correction: Haze emphasizes that one of the advantages of blockchain is its strong self-cleaning ability. Public data can break traditional venture capital narratives and help the market quickly identify errors and bubbles. This concept directly drives GMGN towards the product direction of "data retail + decision signalization". (3) Other Founders' Educational Background Jerry Ma is described as having about 20 years of experience in tool product development, mainly focused on internet tools and data products. Public reports do not disclose his specific educational background or school information. Arthur's educational experience and growth background have limited public information. 4. Early Work Experience: From Ordinary Employee to Quantitative Trader (1) Before Entering the Crypto Industry Before encountering Bitcoin, Haze states he only worked in a small place. His work status was to complete tasks and receive a salary, with no clear long-term career plan or entrepreneurial ideals. This phase is closer to the workplace life of ordinary young people in China's third and fourth-tier cities. (2) 2017-2018: Entering the Crypto Industry At the end of 2017, he accidentally saw Bitcoin-related reports in the news and intuitively bought a small amount of Bitcoin, viewing it as a worthwhile opportunity to try. This was his first exposure to crypto assets. In 2018, he officially joined a quantitative company engaged in grid trading, systematically learning blockchain and quantitative trading strategies from scratch. He quickly established a certain reputation in niche circles by writing tutorials and creating content. This phase laid the foundation for his later "trading + tool" capability combination. (3) Pionex, Pai Network, and BitUniverse Phase Haze subsequently entered the Pionex and Pai Network ecosystem, participating in the early construction of the Pai exchange and later becoming the head of BitUniverse in China. He was responsible for user growth, operations, customer service, and product-related work. He described himself as having done almost everything except coding. This experience deepened his understanding of centralized exchanges, quantitative tools, user growth, and trading product business models. This also explains why the market once mistakenly believed GMGN was a project incubated by Pai Network and why he has a strong sensitivity and iterative ability regarding automated trading tools. 5. Entrepreneurship and Project Experience: From NFTTrack to GMGN (1) Jerry Ma's Tool Product Path Before GMGN, Jerry Ma participated in creating NFTTrack. NFTTrack is a tool product that tracks blue-chip NFT trading dynamics, primarily serving professional NFT traders. The core logic of NFTTrack is "data converted into decisions", helping users discover trading opportunities through data dashboards, address tracking, and blue-chip asset trading monitoring. This experience was later transferred to GMGN, with the product focus shifting from NFTs to Meme Coins and multi-chain crypto assets. (2) Haze's Podcast, Content, and Community Operations Haze has long been active in podcasts, X Space, and Chinese crypto communities, participating in interviews and programs with organizations like Wu Says Blockchain and 7UpDAO. He publicly shared his experience of losing about $350,000 trading Meme assets, calling himself a "dog fool" and using this failure as a cautionary tale. This narrative of public failure amplified GMGN's community topic. "From $0 to $10 Million Meme Operation Guide" is another content product attempt. GMGN collaborated with several KOLs to systematically organize Meme trading methods, reinforcing its knowledge authority in the Meme scene while bringing in new users for GMGN. (3) GMGN: From Internal Startup to Independent Brand From the existing narrative, GMGN initially resembled an internal startup or amateur project pushed by Haze and former colleagues, not a large project relying on venture capital funding from day one. In terms of initial team size, product development pace, and funding choices, GMGN significantly differs from typical Web3 venture capital projects. Haze has repeatedly emphasized that GMGN is an independent project. Although many team members previously worked at Pionex or BitUniverse, there is no equity or incubation relationship between GMGN and these companies. This independence has also become an important statement for GMGN in responding to external doubts about its capital background. 6. GMGN's Timeline and Key Milestones (1) 2023: From Ethereum Launch to Seeking Direction In June 2023, GMGN officially launched and began development. The product initially connected to Ethereum, with the core entry point being smart money tracking, resembling a more user-friendly on-chain data dashboard and trading entry. From September to October 2023, GMGN began formal operations. At that time, the Meme market had not fully exploded, and the team mainly conducted product experiments around high-profile Meme assets like MOG and HPOS on Ethereum. (2) Q1 2024: Strategic Shift to Solana From January to March 2024, Haze observed projects like Silly Dragon, Mobile, and BOME on Solana experiencing successive explosions. After investing funds to participate in trading, he judged that the Meme market's funds and users would gradually settle on Solana. Therefore, he pushed the team to strategically shift to Solana starting in March 2024. During the migration process, there was significant internal controversy. The main concern was that if it took two months to complete the Solana version's development while Solana's popularity had declined, the team would waste critical time. Ultimately, the judgment that "active on-chain hunters are migrating to Solana" outweighed the risk concerns, and the team completed the strategic migration. (3) Q2 to Q3 2024: Function Explosion and Natural Growth In April to May 2024, GMGN's Solana support features were fully launched. The data dashboard and smart money tracking features were frequently used, and the platform gradually accumulated its first batch of deep users. In July to August 2024, GMGN launched the "Wash Trading" and "Insider Wallet" features, automatically marking project wallets, distribution wallets, and suspected internal trading addresses. This feature was extremely popular among professional Meme traders and was seen as a true breakout moment for GMGN. At the same time, Pump.fun's popularity rapidly increased. GMGN built a complete on-chain trading closed loop around Pump.fun's internal market and Raydium's secondary liquidity. Features like wash trading identification, developer rug history, and real-time risk alerts gradually formed differentiated barriers. (4) Q4 2024: Trading Volume and Revenue Explosion On November 17, 2024, according to third-party Dune dashboard data, GMGN's daily trading volume reached approximately $72 million. The daily trading volume ranked second only to PHOTON and higher than BULLX. The corresponding daily fee income was approximately $710,000, with about 25,000 daily active users. In the same month, Binance listed Meme assets like ACT and Pnut, further driving user attention to on-chain trading. GMGN, as an on-chain asset scanning and trading terminal, clearly benefited from this trend. Haze views this stage as a key node for Meme and on-chain trading to fully enter the mass market. (5) 2025-2026: Consolidating Leading Position Between 2024 and 2025, GMGN was referred to by some media as a "leading project in the modular CEX track". This concept refers to GMGN providing a trading experience and functional closed loop similar to centralized exchanges on-chain, while still being based on DEX and on-chain matching. Third-party tool evaluations generally regard GMGN as one of the leading platforms in Solana Meme trading tools. Related evaluations focus on three main aspects: Copy Trading user experience. Data update speed. Wallet tracking depth. 7. Product Forms and Technical Positioning (1) Asset Issuance and Data New Retail Haze views Meme as the "new retail era of asset issuance". In his analogy, Pump.fun is like an asset supermarket, allowing anyone to issue a large number of tokens at low cost and conduct rapid rotations. GMGN is akin to a data new retail platform, packaging complex on-chain data into simple trading signals, such as: Wash trading alerts. Smart money buying. Multiple wallet purchases. KOL purchases. Changes in project holdings. Users can directly complete trades based on these signals. Essentially, users are purchasing not just data but also the execution capabilities corresponding to the data. Haze believes that traditional data platforms like Nansen and Dune are more like providing engines, where users still need to build their decision models. GMGN aims to become a "4S store", directly providing users with complete products suitable for specific markets, namely "signals + one-click trading", lowering the threshold for Meme players to use on-chain data. (2) Core Functions GMGN's core functions include: New Coin Monitoring: Aggregating issuance platforms and liquidity pools like Pump.fun, FourMeme, Raydium, and filtering new coins based on market cap, trading volume, and creation time. Real-time Rankings and Trends: Ranking based on the number of buy/sell orders, transaction volume, price changes, and holder growth, displaying capital flows and market heat. Chip and Wash Trading Analysis: Identifying internal wallet ratios, developer holding ratios, concentration of the top ten addresses, and bulk buy orders. Security Audit: Checking whether liquidity is locked or destroyed, whether there are Honeypots, whether permissions are relinquished, and whether minting is possible, with some capabilities relying on external security services like GoPlus and Honeypot.is. Smart Money Tracking and Copy Trade: Scoring based on the historical win rate and profit/loss of wallets, supporting one-click copying of buy/sell operations and position ratios, and providing automatic profit-taking, stop-loss, and trailing stop-loss functions. KOL and Wallet Monitoring: Maintaining a list of high-value wallets and KOL addresses, providing real-time alerts for buying, selling, increasing positions, and liquidating. Trading Execution Layer: Connecting trading routes and DEX across multiple blockchains, providing multi-wallet batch order placement, Anti-MEV, priority fees, and customizable tips. Data API and AI Access: Providing structured APIs for Token, Wallet, Market, Signal, and Execution, encapsulated as AI Skills for GPT, Claude, and other agents to call for on-chain queries and trading execution. This functionality has garnered additional attention for GMGN in the AI Agent trading narrative in 2025-2026. (3) Wallet and Security Model GMGN offers two main usage modes: The first is the browser, app, and plugin wallet mode. Users authorize using their wallets like Phantom and MetaMask, requiring user signatures for each operation. This mode is relatively secure but has a lower user experience and automation level. The second is the Telegram Bot mode. The platform server hosts user keys or controls trading permissions through MPC and other methods. This mode is more suitable for high-frequency trading and automated strategy users but imposes higher demands on platform security and internal risk control. Haze has cited the private key plaintext transmission and server attack incidents of competitor DEXX as negative examples, emphasizing that GMGN established an independent security team from the beginning, using encrypted storage and isolated architecture. However, he also acknowledges that no system can achieve 100% security, and what truly matters is the ability to quickly identify problems, control risks, and compensate users. 8. Business Model and Revenue Structure (1) Basic Fee Structure: 1% Trading Fee GMGN's official documentation shows that the platform charges a 1% fee on each buy and sell transaction, with no monthly or subscription fees. Users' actual costs also include on-chain gas fees and fees charged by issuance platforms like Pump.fun. Some third-party evaluations indicate that trading through referral links can yield certain fee discounts. GMGN has also set up a referral commission mechanism, allowing referrers to earn a portion of the trading fees from invited users. (2) Revenue Scale and Profitability On the peak date in November 2024, GMGN's daily trading volume was approximately $72 million. Based on the 1% trading fee estimate, the daily fee income was about $710,000. Relevant data mainly comes from third-party Dune dashboards and media references. This revenue level once placed GMGN on the list of high-fee crypto infrastructure projects. Some statistical platforms show that GMGN's cumulative fee income reached approximately $229 million, indicating strong cash flow capabilities during the prosperous period of the Meme market. (3) Cost Structure and Expanded Revenue Jerry stated in an interview that GMGN's data analysis and real-time storage costs are high, with monthly server costs nearing $100,000. In the future, GMGN may open up advertising space, signal promotion, and paid API as revenue sources for projects. However, currently, the platform still mainly relies on trading fees. GMGN also provides data API whitelists, referral bots, and trading group commissions as cooperation models, offering monetization interfaces for projects, trading communities, and bot developers. (4) Choice Not to Issue Tokens Haze has publicly stated multiple times that GMGN's primary revenue source is trading fees. The team has not yet decided whether to issue a platform token. The core concern is that once a token is issued, users may focus excessively on the token price, neglecting the product itself, leading to a shift in product stickiness and team focus. Based on his observations of competition among NFT trading platforms, he believes that a project's real decline does not depend on whether it issues tokens but on whether it begins to ignore user needs. Therefore, GMGN prioritizes product iteration over building a Token economic system. 9. Capital Relations and Organizational Structure (1) Legal Entity and Registration Location Google Play's developer information shows that GMGN's development entity is GMGN Labs Limited. Its registered address is Trinity Chambers, Road Town, British Virgin Islands. The disclosed contact number is a Singapore number, and it uses emails like gmgn.ai and gmgn.cc. This structure resembles the "offshore company + Singapore operating team" model adopted by many crypto projects. (2) External Investment and Financing Public databases show that GMGN has not disclosed any funding rounds or public lists of institutional or angel investors. Combined with the financing situations of other projects in the same track, and GMGN's long-term emphasis on not blindly financing during market peaks, it can be reasonably judged that GMGN does not have any prominent venture capital institutions or Web3 funds invested at least at the public level. The platform mainly relies on self-generated income for rolling development. There is limited public information on whether there are undisclosed personal financing or equity arrangements. (3) Relationships with Other Organizations Relationship with Pionex and Pai Network: Several members of the GMGN team previously worked at Pionex or BitUniverse. However, Haze explicitly denies that GMGN is an incubated or controlled project of Pai Network, defining it as an independent project. Relationship with 7UpDAO: 7UpDAO partner Nathan has had multiple interviews and discussions with Haze, with their relationship mainly focused on content cooperation, opinion dissemination, and community communication, with no clear capital binding found. Relationship with centralized exchanges: Trading platforms like Bitget, Gate, and Binance have reported on GMGN in content and education. Currently, there is no clear information indicating that GMGN has become an official embedded tool or strategic investment object of any centralized exchange. 10. Key Decisions and Turning Points (1) All in Crypto and Quantitative Trading Transitioning from an ordinary employee to crypto and quantitative trading was a significant turning point in Haze's life. At the end of 2017, he decided to buy Bitcoin. In 2018, he entered a quantitative trading company, self-learning and writing grid trading tutorials. Thus, he completed the leap from an ordinary employee lacking educational advantages to a tutorial author and industry participant in the quantitative trading circle. This phase laid the foundation for his later multiple identities, including trader, KOL, product consultant, and founder. (2) Abandoning BRC-20 and Inscription Direction In June 2023, when GMGN was just starting its project, the team discussed whether to develop a BRC-20 wallet and inscription tools. Haze believed that inscriptions did not solve practical problems, had poor trading experiences, and low asset issuance efficiency, and could gradually lose vitality like some NFT projects in the long term. Therefore, he firmly opposed betting on the inscription direction and pushed the team to shift towards Meme Coin tools. In hindsight, this decision helped GMGN avoid the short-lived competition of inscription tools and seize the growth opportunities of Pump.fun and the Solana Meme market. (3) Migration from Ethereum to Solana This was one of the biggest turning points in GMGN's product development process. Before the migration, the Meme market's popularity on Ethereum was limited, and the trading experience was constrained by gas costs and network performance. The migration decision mainly stemmed from Haze's actual trading experiences with Solana Meme projects like Silly Dragon, Mobile, and BOME. He judged that active on-chain hunters were gathering on Solana. After the migration, GMGN's user numbers, trading volume, daily active users, and transaction counts experienced exponential growth. This was a high-risk, high-reward blockchain-level strategic bet that had a decisive impact on GMGN's market position. (4) Launching Wash Trading and Insider Wallet Features After establishing a foothold on Solana, GMGN launched features for wash trading identification, developer rug history, and chip distribution. These features compressed the originally high-threshold data analysis work into several labels, colors, and risk alerts, significantly improving decision efficiency for Meme traders. This functionality directly drove GMGN's reputation growth and community dissemination. Subsequent features like red fish, suspected collusion addresses, and sniper developer tags also collectively formed the core selling points of GMGN's data retail platform. This model shifted the Meme tool industry from "subscription-based professional data platforms" to "pay-per-trade + tool commission". (5) Choosing Not to Issue Tokens and Not to Raise Funds In the second half of 2024, the Meme tool track rapidly heated up, with a large influx of venture capital. GMGN chose not to issue a platform token or raise funds publicly but to rely on fee income for rolling development. The team publicly opposes short-termism that only chases trends and quick arbitrage. This choice sacrificed token market narratives and capital speculation gains in the short term but maintained a relatively pure product positioning and reduced some regulatory pressure. This also allowed GMGN to maintain a certain differentiation among trading tools that issued a large number of tokens. 11. Representative Achievements and Industry Impact (1) Status of Meme Tools and Trading Terminals According to multiple media and third-party evaluations, GMGN is in a leading position in the Solana and multi-chain Meme tool field. Its daily trading volume once ranked second in the Meme tool market, only behind PHOTON. In some fee rankings, GMGN has consistently ranked high, with cumulative fee income exceeding $200 million. GMGN has also been referred to by some media as a leading project in the modular CEX track, alongside BullX and Photon, forming the top platforms in the Meme trading tool field. (2) Data Retail and PVP Culture Haze's concepts of "the new retail era of asset issuance" and "data retail platform" provide GMGN with a clear product narrative. These concepts have also influenced the design direction of subsequent tool products, shifting the industry from providing APIs and data tables to directly offering decision signals and one-click trading. Haze openly accepts the PVP characteristics of the Meme market, understanding it as a high-risk gambling market with relatively transparent data. He emphasizes data openness, rapid trial and error, and small-scale participation. This perspective has changed some traditional value investors' views on the Meme market and prompted some institutions and seasoned investors to attempt using tools to build systematic Meme trading strategies. (3) Promoting Data and Trading Integration The GMGN team emphasizes that trading is the endpoint of data analysis. Therefore, the platform not only provides data dashboards but also deeply integrates order placement, automated strategies, Anti-MEV, and anti-squeeze trading execution capabilities. This approach promotes traditional on-chain data platforms towards "data + trading integration" and also impacts the traditional product boundaries of centralized and decentralized exchanges. With the rise of AI Agents, GMGN has standardized its API as AI Skills, allowing large models to directly call GMGN for on-chain queries and trading execution. This has given it a first-mover advantage in the agent trading field. 12. Controversies, Risks, and External Criticism (1) "Dog Fool" and Trading Failures Haze once lost about $350,000 in a dedicated account for trading Meme assets, being referred to by some X users as "dog fool" or "Meme Fool". From a traditional finance perspective, this is considered a serious trading mistake. Haze instead leveraged this label, packaging it as paying tuition and gaining experience through actual losses. He also detailed this experience in a podcast, drawing traffic to GMGN. This willingness to publicly acknowledge failure has earned him some recognition in the Meme community, which is heavily PVP-oriented. (2) Custodial Risks of the Telegram Bot GMGN's Telegram Bot mode requires hosting user private keys or controlling user assets through MPC and other methods. This type of model carries systemic risks across the industry. If the server is attacked, keys are leaked, or internal personnel engage in malicious behavior, user funds could suffer significant losses. Haze criticized competitor DEXX for issues like plaintext transmission of private keys and server attacks during discussions of security incidents. He emphasized that GMGN uses encrypted storage and isolated architecture. However, these security claims are difficult to fully verify externally. Thus, custodial risks remain a key concern for rational users and security researchers. (3) User Experience and Withdrawal Controversies In historical comments on Google Play, some users reported the following issues: Abnormal SOL balance display. Delays in asset arrival. Complicated withdrawal processes. At times, it required confirmation through the Telegram Bot or manually, preventing immediate completion of all withdrawals. These issues raised some users' doubts about withdrawal difficulties. Developers responded that these issues have been fixed and that withdrawals can now be made at any time. However, these historical records may still be viewed as negative experiences by some users, reminding external observers of the complexity of its fund flow and product architecture. (4) Capital and Compliance Opacity Public databases show that GMGN has not disclosed any financing records or issued platform tokens. The company is registered in the British Virgin Islands, with its operational focus in Singapore. This combination of "offshore company + high crypto fee income" naturally raises institutional concerns about its equity structure, taxation, anti-money laundering, and user fund paths. Currently, there are no significant reports of GMGN facing major regulatory penalties or legal lawsuits. However, considering its fee scale and Telegram Bot custodial model, GMGN may still face considerable compliance pressure in the future against the backdrop of increasing global regulation. Risks are particularly concentrated in custodial wallets, automated trading, and referral commission businesses. 13. Current Identity, Influence, and Structural Position (1) Haze: From Quantitative Tutorial Author to Meme Era Narrator Currently, Haze holds multiple identities: Co-founder and external representative of GMGN. A representative quantitative trader and tool entrepreneur in the Chinese and Asian Meme field. Proposer and disseminator of concepts like "the new retail era of asset issuance" and "data retail platform". He continues to emphasize long-termism, sharpness, and self-iteration through Chinese podcasts, interviews, and long articles. He attempts to position GMGN between a casino trading tool and an infrastructure provider in the extremely PVP Meme market. (2) Jerry Ma: The Low-Key Product Founder Jerry Ma rarely appears frequently on Chinese social media. However, in several in-depth reports in both Chinese and English, he is described as having about 20 years of experience in tool products and having led NFTTrack as a product-oriented CEO. His product thinking is closer to traditional internet companies: Small steps and quick iterations. Rapid MVP validation. Data-driven focus. Cautious about valuation and expansion. He places GMGN's main metrics on the number of traders, transaction counts, server stability, and product iteration speed, rather than solely focusing on trading volume. This indicates he prefers to understand GMGN from a tool product perspective rather than viewing it purely as a financial platform. (3) GMGN's Position in the Crypto Market Structure From the perspective of on-chain trading structure, GMGN is roughly positioned as follows: Upstream: Connecting liquidity and trading routes from Pump.fun, Raydium, Jupiter, various Layer 2 networks, and Solana DEX. Midstream: Building smart money, wash trading, and strategy signal layers through data collection, cleaning, and analysis. Downstream: Serving PVP Meme players, Meme KOLs, on-chain quantitative traders, as well as some venture capital institutions and professional traders. GMGN provides integrated tools from asset discovery, data analysis, trading execution to post-trade review. In the context of Meme becoming an important narrative in this crypto cycle, GMGN is both a "water seller" collecting tool fees and, in a sense, a rule maker. Its wash trading and risk labels can influence users' judgments about projects, giving GMGN structural influence that transcends a single tool in the Meme ecosystem. (4) Future Directions and Potential Changes Haze has judged that 2024-2028 may be a relatively important development cycle for the crypto market. His judgment is based on factors such as public participation of American politicians and tech entrepreneurs in crypto assets, as well as the rapid growth of on-chain trading scale. Under this macro judgment, GMGN's strategies include: Not rushing to issue tokens or to raise funds at high valuations, but relying on fee income for continuous expansion. Continuing to follow on-chain trends. Currently, the core market is Meme, but it may also migrate to other new narratives with similar data structures and user needs. Emphasizing sharpness and long-termism, while maintaining high-frequency product iterations and avoiding getting lost in capital and short-term speculation. GMGN's position in the real world is quite unique. On one hand, it is a high-income tool company registered in the British Virgin Islands, primarily relying on trading fees, and has not issued tokens. On the other hand, it is deeply embedded in the highly PVP and speculative Meme market. It serves as both an on-chain trading infrastructure and a tool and "arms dealer" on the periphery of the speculative market. GMGN's long-term development will be closely related to the scale of on-chain trading, the lifecycle of the Meme market, wallet security capabilities, and the global regulatory environment.
Bitwise Crypto Researcher Asad Reaches Refresh Point at Times Square, Receives 0.0275 Shares of Tokenized GameStop for Free
...esearcher Ishmael Asad tested the location-based game Touch Grass, reaching a refresh point at Times Square to receive 0.0275 shares of tokenized GameStop for free. The app claims to be a tokenized stock version of...
Investor Julian Weisser: The festival is free to the public, has no sponsors, and has been held annually since 2001
Investor Julian Weisser stated that Hardly Strictly Bluegrass is a love letter to San Francisco from Warren Hellman and his family. The festival is free to the public, has no sponsors, and has been held annually since...
South Korea Leads East Asia in Crypto with $449.1 Billion
...cycle, ranking first in East Asia and fifth in the agency's grassroots adoption index. Japan, Hong Kong, mainland China, and Taiwan followed with $228.3 billion, $192.2 billion, $176.3 billion, and $140.4 billion, respec...
Beverly Hills Billionaire On-Site Visit: The Truth Behind Cash Flow, Leverage, and Wealth Freedom in 4 Paths to Wealth Creation
Person 1: Marc Nathanson (Founder of a cable television empire, billionaire, 81 years old) • Business Journey and Key Turning Points: • Born into a middle-class family, had average grades in school; after hearing a family friend declare at age 12 that he would "never amount to much," he developed a strong determination to prove himself. • Entering a counter-consensus industry: While mainstream classmates rushed to major traditional broadcasting and television stations upon graduating from graduate school, he chose to enter an emerging sector with very low penetration. At that time, the cable television penetration rate in the U.S. was only 5%; by the time he sold the company in 1999, the penetration rate had climbed to 75%. • High leverage and cash flow expansion: Started by borrowing $7 million from Bank of Boston to acquire cable systems, achieving a company size that doubled every year for eight consecutive years; at its peak, employed over 2,500 staff and ultimately exited for billions of dollars. • Financial and Operational Risk Control Principles: • Be wary of debt limits: Although he once carried billions in debt, the premise was that the underlying operating cash flow was sufficiently abundant to cover interest expenses in any extreme market downturn; he warns young people that if they are heavily indebted and face market reversals, they will quickly lose control of their businesses. • Sales and Negotiation Philosophy: The core of negotiation is "altruism for win-win"; first ascertain the other party's true demands and bottom line, then seek to match one's own interests. • Organizational and Management Bottom Line: • Value frontline employees: Firmly believes that the grassroots installation technicians and customer service personnel are more critical than the CEO, as they directly determine user delivery quality and brand retention. • Strictly prohibit nepotism: Resolutely does not hire relatives or children; his children all develop independently in their own industries; the organization insists on a pure "performance and capability-oriented (Level Playing Field)" approach, with those who are incompetent being eliminated. Person 2: Book publishing and IP copyright investor (annual net income once reached $11 million, 54 years old) • Wealth Creation Path and Core Business: • Early on worked for well-known publishing giants like Simon & Schuster, and after accumulating industry knowledge, shifted to independently acquiring book copyrights and intellectual property (IP). • At age 31, accumulated his first $1 million, with a peak annual copyright monetization income of $11 million. • Workplace and Business Communication Philosophy: • The psychological game of pen and notebook: Always insists on carrying paper and pen for notes. In meetings where everyone relies on computers and phones, taking out paper and pen to write by hand not only strengthens memory and execution of details but also creates a subtle psychological deterrent against negotiation opponents. • Firm internal self-awareness: Points out that the decision-making level in business is often filled with people lacking inner security; maintaining a clear and confident internal awareness can directly penetrate ineffective superficialities within company hierarchies. • Financial Code: • Restrain greed, cash out in time: "As long as you are continuously making a profit and securing it, you will never go broke (You never go broke if you're making a profit)." Person 3: Marcus Lemonis (CEO of Camping World, famous investor, 52 years old) • Business Journey and Performance Scale: • Born into a blue-collar family, considers himself not good at socializing or physical activities, and instead focuses on foundational mathematics and financial operation logic. • Became a millionaire at 27, built a vast business landscape in the RV manufacturing and sales sector, led the company to go public, and once set a record for annual net profit (Bottom Line Profit) reaching $900 million; subsequently made low-priced acquisitions of large consumer brands like Bed Bath & Beyond during economic downturns. • Core Financial Philosophy: "Cash is King": • Rebuts the notion that "cash is trash": Points out that those who belittle cash often lack cash reserves; sufficient liquidity is the only moat for capturing sudden counter-cyclical acquisition opportunities (such as acquiring large assets at a discount) and weathering storms. • Asset Allocation Preference: Top wealth creators prefer to reinvest compounded funds into businesses and teams they are familiar with, rather than prematurely purchasing luxury assets like yachts and sports cars; they would rather be "house poor and business rich." • Counter-consensus Organizational Management: Inverted Pyramid Model: • Employees come before customers: Clearly advocates "employees first, customers second"; only when employees receive sufficient dignity, competitive industry salaries, and clear upward paths can they spontaneously bring excellent customer satisfaction. • The role of managers as servants: Implements an inverted pyramid structure, where frontline employees drive the business forward, and the CEO's core responsibility is to provide resources and service support to frontline employees. • Preventing knowledge bias: Maintain curiosity and avoid the arrogance of "knowing everything"; the root of financial dilemmas often lies in the refusal to listen and self-imposed limitations. Person 4: James Goldstein (Mysterious real estate investor, NBA legend's courtside regular, 86 years old) • Asset Allocation and Representative Property (Sheats-Goldstein Residence): • Long-term focus on high-quality commercial and residential real estate investment in California, having settled in Beverly Hills for 60 years. • The iconic mansion he resides in is valued at over $100 million (having served as a filming location for several classic films including "The Big Lebowski"). After searching for two years, he bought this property in just 30 seconds when the prices in the area had not yet been inflated. • The overall design of the residence serves to provide an ultimate view, overlooking the entire Los Angeles skyline; the property also includes amenities like a private club (Club James) and tennis courts. • Long-cycle durable asset consumption view: • Owns a 1961 Rolls-Royce, which has been his only vehicle for the past 60 years; purchased for $12,000 at the time, it is now valued at $1 million, achieving a balance between daily use and classic asset appreciation. • Ultimate life philosophy and definition of wealth: • De-vanity: Does not care about being called a "billionaire" and has no interest in appearing on wealth lists like Forbes. • The core of wealth is independence: The ultimate meaning of having money is the freedom and autonomy to choose what one wants to do at any moment, rather than being enslaved by numbers. • Absolute forward-thinking: Never indulges in past regrets or hypothetical mistakes, focusing entirely on enjoying life in the present and looking forward. Execution Verification Checklist (for business decision-making and asset allocation review) 1. Reverse review of the sector: Assess whether the current business or intended direction is trapped in an overly crowded mainstream competitive red ocean, evaluating whether there exists a long-slope, thick-snow sector similar to the "only 5% penetration rate of cable television" back then. 2. Liquidity and debt safety net check: Calculate whether the cash flow of the existing main business can cover rigid debt interest in the worst commercial cycle, and establish a sufficient reserve cash pool for counter-cyclical bottom-fishing. 3. Team management hierarchy review: In accordance with the "inverted pyramid model," check whether management resources are tilted towards frontline employees who directly contact customers, and whether there are loopholes affecting assessment fairness due to favoritism towards relatives and friends. 4. Examination of decision-making tool details: In important business and negotiation scenarios, establish a habit of handwritten key points and actionable plans to improve the closure rate of critical delivery items. Source video: https://www.youtube.com/watch?v=6kYW4qK2qcM
Elon Musk: Will Not Seek Funding from Venture Capitalists for Mars Colonization
...ndraising. This statement directly responds to Neil deGrasse Tyson's criticism on the Bill Maher show. Tyson simulated a venture capital meeting: the goal is to go to Mars, costing $1 trillion, with zero return on ...
"Led by a16z with $42 million: A college alternative created by Udemy co-founder specifically for AI-native builders"
1. Project Overview and Core Vision • Institution Name: Horowitz Andreessen Academy (formerly the a16z Academy project). • Funding and Endorsement: Received $42 million in funding support from Andreessen Horowitz (a16z); founding partners include OpenAI, Anthropic, Google, and Nvidia; Marc Andreessen and Eric Torenberg have joined the board. • Initial Scale and Tuition: The first cohort will enroll 50 students (Founding Class Fellowship), with full tuition waived. • Project Form: Initially a 12-month Fellow program, which will later expand into a 2-year higher education alternative program for high school graduates. • Ultimate Vision: To create a world-class builders academy that provides a growth path for the most ambitious and practical young talents without requiring a 4-year college degree. 2. Training Model: Three Core Pillars The academy aims to completely disrupt the traditional ivory tower structure of "listening to lectures - doing exercises - taking exams," shifting to a core focus on "real building," emphasizing the cultivation of three traits: • AI Native Building • Not just using AI tutors or learning prompts, but mastering the systematic thinking and architectural design skills needed to create high-value products based on the current AI ecosystem. • High Agency • Traditional schools cultivate "rule followers" through strict regulations to reduce management risks; the new academy encourages students to have high control, dare to challenge the status quo, and take full responsibility for outcomes. • People Skills • The most "AI-Proof" abilities in the AI era are interpersonal communication, storytelling, empathy, and team leadership. 3. Faculty Configuration and Ecological Network Barriers • Frontline Practitioners Replace Pure Academic Professors: The teaching and mentoring team consists of practitioners with 10-20 years of frontline experience from leading tech companies (e.g., behavioral psychology expert Kristen Berman), rather than purely theoretical researchers detached from industrial practice. • Dual High Barrier Networks: • Peer Network: Selects the top 1% of self-driven, independent builders from around the world. • Mentor and Capital Network: Deeply integrates a16z's industrial resources, directly connecting with top tech founders, AI lab scientists, and venture capitalists. 4. Target Audience Profile: Who It Is Built For and Who It Is Not Built For • Suitable Groups: • Self-driven creators and autonomous learners (Autodidacts); • Students with a strong willingness to engage hands-on, who feel bored in traditional classrooms due to slow pacing, and who are eager to create things through practice; • Young developers planning to establish hardcore tech companies or hoping to take on pioneering roles in top AI labs. • Unsuitable Groups: • Those accustomed to "being told what to do"; • Rule followers who rely heavily on clear task instructions and external assessment frameworks; • Students who tend to maintain the status quo and have a low risk appetite. 5. Founder Gagan Biyani's Entrepreneurial Experience and Reflections • Early High Agency Enlightenment: • Founded a speech and debate training camp for peers at age 13 and became profitable, leading a grassroots public school team to win the national speech and debate championship, while continuously facing suppression and regulatory restrictions from traditional school administrative systems. • Udemy (Co-founder, $2 billion publicly listed company): • Successfully lowered the learning threshold for the public by leveraging the scale effect of digital content with zero marginal cost and a bilateral market mechanism. • Lesson: Due to a lack of interpersonal communication maturity and disagreements with partners, exited after 3.5 years of entrepreneurship, deeply realizing the core value of interpersonal understanding and empathy for leaders. • Sprig (healthy meal instant delivery, shut down after raising about $60 million): • Lesson: The heavy asset full-chain model (simultaneously building a large central kitchen and delivery fleet, with staff reaching 1,300) was too capital-intensive and mismatched with the venture capital-driven high-growth model. • The inclusiveness of Silicon Valley culture: Even if losing tens of millions of dollars of investor funds, as long as one dares to try boldly and has built a reputation, investors will continue to fund the next company ("failing upwards"). • Maven (AI workplace training and Cohort-Based platform, operating for 6 years): • Has now been smoothly handed over to the new CEO (former VP of Product Rish), fully focusing on B2B enterprise-level AI skills reconstruction, allowing Gagan to devote himself entirely to the establishment of the new academy. 6. Challenges in Running the School and Future Outlook • De-glamorization and Preventing Blind Arrogance: Being selected does not mean success; it is essential to prevent the first cohort of students from falling into the elitism illusion due to the a16z brand, with the core evaluation standard being what products and value students actually deliver in the future. • High Support to Counter High Pressure: While maintaining extremely high innovation ambitions, create an environment tolerant of failure, allowing students to freely explore and "play to build" through trial and error. • Balancing Rule Boundaries: Establish a healthy dialogue mechanism between breaking dogmas and adhering to social contracts, maintaining inclusivity and rational guidance for constructive rule breakthroughs.