# Пов'язані статті щодо Founders

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Founders", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

Are Kalshi and Polymarket Founders at Odds? This Business Rivalry Is More Brutal Than You Think

"The Rivalry Between Kalshi and Polymarket Founders Turns Bitter and Litigious" The intense feud between Tarek Mansour, CEO of Kalshi, and Shayne Coplan, founder of Polymarket, has escalated far beyond typical business competition into personal animosity and regulatory battles. Both lead billion-dollar prediction market platforms, but their approaches differ sharply. Kalshi positions itself as the compliant operator, securing U.S. regulatory approval before launching. In contrast, Polymarket initially operated offshore, allowing U.S. users to access its platform via VPN, which drew regulatory scrutiny. The conflict reached a peak in November 2024 when FBI agents raided Coplan's New York apartment. While Coplan publicly blamed political motives, his team privately suspected Kalshi was involved. According to sources, Kalshi's lawyers had previously reported Polymarket's operations to federal prosecutors, highlighting its accessibility to U.S. users despite a ban. This incident fueled mutual accusations and underhanded tactics, including social media smear campaigns and attempts to sabotage each other's major business deals. Their rivalry also played out in Washington, influencing regulatory debates. Kalshi actively lobbied against Polymarket's practices, framing them as illegal and unethical. Polymarket, after facing a CFTC fine and investigation, later acquired a licensed U.S. firm to launch a domestic app, regaining a foothold. Despite the hostility, both companies have seen massive growth, with combined trading volumes soaring. However, increased regulatory scrutiny, particularly around insider trading on Polymarket's platform, continues to pose challenges. The founders' deep-seated mutual disdain ensures their battle for market dominance remains as much a personal vendetta as a commercial one.

marsbit07/22 01:58

Are Kalshi and Polymarket Founders at Odds? This Business Rivalry Is More Brutal Than You Think

marsbit07/22 01:58

The Networking Game in Silicon Valley's Elite Circles: Those with Connections Get $50 Million, While the Truly Talented Can't Raise Money?

"Silicon Valley's Meritocracy to Relationship Game: How Networks Now Trump Talent." The article argues that Silicon Valley has shifted from a meritocracy to a "kingmaker" system where connections and background outweigh true ability. Key factors driving this change include: 1. **AI-Distorted Expectations:** Unprecedented growth curves (e.g., Anthropic) have led VCs to seek only "sure things" or pattern-match against past successes. 2. **Capital Concentration:** LP funds are concentrated in a few large, multi-stage funds, pushing VCs to overpay for hot deals to secure capital. 3. **VC Professionalization:** The industry has become a standardized career path, attracting conformist "NPCs" rather than independent thinkers. The long IPO timeline incentivizes safe, consensus bets for career advancement over risky, fund-returning outliers. This consensus capital fuels consensus founders. Startups are now a standard career option, with accelerators pressuring uniform ideas (e.g., 81% AI). Founders from elite schools (Stanford, OpenAI) easily raise millions based on pedigree, not proof. Large funds preemptively back "centrally cast" teams with $10-50M war chests to dominate categories, sidelining outsiders. The "kingmaker" strategy has downstream effects: it encourages aggressive, sometimes fraudulent, revenue reporting and allows founders to sell significant secondary shares early, attracting grifters. The author predicts a mean reversion. History shows the hottest trends rarely produce the most valuable companies. They advocate backing underestimated outsiders with "a chip on their shoulder" over anointed insiders, believing true meritocracy will ultimately win. "Those chasing the herd are set up for slaughter."

marsbit07/10 04:13

The Networking Game in Silicon Valley's Elite Circles: Those with Connections Get $50 Million, While the Truly Talented Can't Raise Money?

marsbit07/10 04:13

Stratosphere, Pudgy Penguins and Streamex Host Founders Table VIP Dinner During ETHConf 2026 and NYC Tech Week

During ETHConf 2026 and NYC Tech Week, Stratosphere, Pudgy Penguins, and Streamex co-hosted an exclusive Founders Table VIP Dinner in New York City. The June 9th event assembled a select group of founders, C-level executives, investors, and institutional leaders from firms such as Citi, BitGo, Delphi Digital, and Pyth Network for private, agenda-free networking. The dinner aimed to foster natural conversations among key figures across digital assets, tech, AI, and traditional finance. Stratosphere contributed its extensive network, Pudgy Penguins added its strong consumer brand community, and Streamex provided expertise in tokenized commodities and institutional markets. Stratosphere CEO Hassan Shaikh highlighted the importance of such gatherings for discussing market trends, particularly commodity tokenization. The Founders Table series, which runs alongside major industry conferences, is designed to build high-quality, relationship-driven connections that are difficult to achieve on standard conference floors. Stratosphere positions itself as an ecosystem growth partner for leading tech and finance brands.

TheNewsCrypto06/18 15:25

Stratosphere, Pudgy Penguins and Streamex Host Founders Table VIP Dinner During ETHConf 2026 and NYC Tech Week

TheNewsCrypto06/18 15:25

Paul Graham: How to Earn a Billion Dollars

Paul Graham argues that earning a billion dollars is possible through legitimate entrepreneurship, not by cheating. The key is creating a startup that achieves exponential growth driven by two factors: a high growth rate and the duration that growth can be sustained. A company that builds a product users love so much they recommend it to others can achieve rapid monthly growth (e.g., 15-93%). If this growth occurs in a large enough market, the founder's wealth scales accordingly as a mathematical outcome of the company's increasing value. Graham illustrates this with calculations: at 93% monthly growth, a startup worth a few million dollars can reach a billion-dollar valuation in under ten months. At a more conservative 15% monthly growth, it could grow over 4000x in five years. He emphasizes that the best startup ideas often emerge not from actively seeking business concepts, but from young founders working on projects they and their friends find genuinely cool or useful. This approach taps into future, unmet needs. Successful entrepreneurship, therefore, relies on deep empathy for users and creating significant value for them, not exploitation. The path to a billion-dollar fortune is difficult but achievable through building a company that delivers what users truly want.

marsbit06/15 07:39

Paul Graham: How to Earn a Billion Dollars

marsbit06/15 07:39

Li Kaifu and Wang Xiaochuan Pivot: The First Half of the Large Model Entrepreneurship Era Ends

Li Kaifu and Wang Xiaochuan, leading figures in China's AI industry, are signaling a strategic shift, marking the end of the first phase of the large language model (LLM) startup boom. Li's 01.AI, once seen as a potential "Chinese OpenAI," is now pivoting towards enterprise applications and Agent technology, explicitly modeling itself after the低调但 profitable Palantir with a goal of profitability by 2026. Wang's Baichuan Intelligence is fully转战ing the vertical field of healthcare, launching a medical LLM and AI doctor product. This reflects a broader industry清醒. The initial狂热 of 2023, with its focus on chasing参数, benchmarks, and the "Chinese OpenAI" narrative, has collided with the harsh reality of an AI "heavy industry" war dominated by immense capital expenditure from US tech giants (微软, Google, etc.) and Chinese互联网大厂. The cost of competing in foundational模型 has become prohibitively high for most startups. The paths of the original "Six Tigers" have diverged: some like智谱 and MiniMax achieved high valuations via IPOs, effectively closing the capital window for new通用模型 players. Others, like 01.AI and Baichuan, are retreating from the通用模型 race to focus on商业化 and垂直场景. The deeper change is China's AI sector accepting that its comparative advantage may not lie in foundational model突破 but in applications, engineering, commercialization speed, and integrating AI into real-world industrial and user scenarios—turning AI into a viable industry. Li and Wang, veterans from the互联网 era, represent a generation that entered with理想主义 but is now pragmatically adjusting to reality. Their strategic转身 signifies a交棒 from the狂热造神 phase to a more mature stage focused on sustainable business,合同, and现金流. This isn't a story of failure, but a体面告别 to unrealistic expectations, with the long-term battle ahead passed to a new generation of AI-native builders.

marsbit05/29 01:30

Li Kaifu and Wang Xiaochuan Pivot: The First Half of the Large Model Entrepreneurship Era Ends

marsbit05/29 01:30

Tian Yuandong Announces Startup Venture After Leaving Meta

After leaving Meta, Tian Yuan Dong has announced his new venture. The startup Recursive_SI has officially launched with a list of founders including Tian Yuan Dong. The founding team also comprises Richard Socher (CEO), Tim Rocktäschel, Jeff Clune, Tim Shi, Caiming Xiong, and Alexey Dosovitskiy, among others. These members have experience building AI research labs at companies like Salesforce and Uber, and have held leadership roles at OpenAI, DeepMind, Google Brain, and Meta. Recursive_SI aims to develop artificial intelligence capable of conducting experiments autonomously and safely improving itself through an open-ended, automated scientific discovery process. This is seen as a promising path toward superintelligence. The company has raised $650 million at a valuation of $4.65 billion, led by GV (Google Ventures) and Greycroft, with significant investments from AMD Ventures and NVIDIA. The team has grown to over 25 members, including new additions like Zhuge Mingchen. Zhuge, a Founding Member, holds a Ph.D. in Computer Science from KAUST under Professor Jürgen Schmidhuber. His research focuses on Coding Agents, Recursive Self-Improvement (RSI), and next-generation machine paradigms, with contributions including early RSI systems like GPTSwarm and work on agentic AI frameworks. The founders shared their vision on X: building AI that can automatically discover knowledge and recursively self-improve, fundamentally changing the way science and technology advance. The team is recognized as a leader in core areas of recursive self-improving AI, with past breakthroughs in open-ended algorithms, AI-generated algorithms, automated testing, world models, Vision Transformers, RAG, and AI scientists. There is high anticipation for Recursive_SI's future research.

marsbit05/14 00:26

Tian Yuandong Announces Startup Venture After Leaving Meta

marsbit05/14 00:26

In the Age of AI, the Organization Itself Is the Moat

In the AI era, where products, interfaces, and narratives are easily replicated, a company's true moat is its organizational structure. The article argues that exceptional companies like OpenAI, Anthropic, and Palantir differentiate themselves not merely through technology but by inventing new organizational forms that allow a specific type of talent to thrive and become a version of themselves they couldn't elsewhere. These companies compete on identity, offering ambitious individuals a sense of being special, chosen, close to power, and part of a historic mission. However, this emotional commitment must be matched by structural commitment—real power, ownership, status, and economic participation. For founders, the key question is not how to tell a better story, but what kind of person can only truly realize their potential within their specific company structure. For individuals evaluating opportunities, the distinction between "being chosen" (an emotional feeling) and "being seen" (a structural reality of tangible power and rewards) is crucial. The most dangerous promises are those priced in future time. While AI makes copying visible elements easy, it does not make building a great, novel organization any easier. The next frontier of competition is creating organizational vessels that attract, structure, and compound the judgment of the right people—those whom traditional boxes cannot contain. The company itself becomes the moat.

marsbit05/10 07:09

In the Age of AI, the Organization Itself Is the Moat

marsbit05/10 07:09

Farewell to the Era of Founders, Neo Embarks on a True Restructuring

Neo, a public blockchain launched in 2014, is undergoing a major governance restructuring to resolve long-standing structural issues, including founder conflicts, opaque finances, and centralized control. A new proposal by co-founder Da Hongfei aims to fundamentally reform the Neo Foundation by decentralizing decision-making and asset control. Key reforms include establishing a unified on-chain and off-chain governance framework, introducing a staking-based voting mechanism with a 180-day lockup to discourage speculation, enabling fractional NEO tokens for broader participation, and redistributing a significant portion of the foundation’s assets—approximately 26 million NEO and 40 million GAS—back to the community through a "Giveback II" program. The foundation will relocate to the Cayman Islands under a new legal structure with a five-member board and an independent supervisor, explicitly barring founders from holding board seats for the first two years. This overhaul seeks to transition Neo’s governance from founder-dependent to community-driven, enhancing transparency, accountability, and long-term sustainability. If successful, it could set a precedent for other mature crypto projects facing similar governance challenges.

marsbit04/14 07:24

Farewell to the Era of Founders, Neo Embarks on a True Restructuring

marsbit04/14 07:24

Dragonfly: Venture Capital Can Only Be Stable and Sustainable by Listening to LPs, Backing Reliable People, and Adapting to the Market

The article "Dragonfly: VCs Must Listen to LPs, Back Strong Founders, and Follow the Market to Sustain Success" by Rob Hadick argues that venture capital, especially in crypto, is fundamentally market-driven. VCs serve their limited partners (LPs), whose priorities extend beyond absolute returns to include risk-adjusted performance, reputation, regulatory exposure, and access to key networks. The current market contraction and concentration of capital into fewer funds are signs of a healthy, functioning market, not a failure. To survive, VCs must align their strategies with LP demands. This often means investing in trending sectors like stablecoins and prediction markets, even if not first. While contrarian bets are possible, they are a privilege earned by first demonstrating consistent, stable returns. The industry rewards sustainability, not reckless heroism. Similarly, the notion that founders lack original ideas is misguided. Great companies are often not the first in a space but the best execution of a model. Success is driven by market forces: VCs are rewarded for correct judgment and delivering what LPs want, and founders are rewarded for building valuable, profitable businesses that attract investment. Ultimately, ideological posturing is irrelevant; market dynamics dictate everything.

marsbit04/14 02:13

Dragonfly: Venture Capital Can Only Be Stable and Sustainable by Listening to LPs, Backing Reliable People, and Adapting to the Market

marsbit04/14 02:13

Dragonfly Partner Talks About the Truth of Crypto Venture Capital: Market Logic Far More Important Than Ideology

Dragonfly partner Rob Hadick argues that the core of crypto venture capital is driven by market logic rather than ideology. VCs operate within a market where they must satisfy their limited partners (LPs), who evaluate investments based on multiple factors: risk-adjusted returns, reputation, regulatory exposure, liquidity cycles, co-investors, access to key information, and social relevance—not just absolute returns. The current pullback in crypto VC funding reflects normal market behavior: LPs are reducing allocations or concentrating capital in fewer, higher-quality funds due to concerns over risk-adjusted returns, liquidity, and reputational risks. To survive, VCs must align their strategies with LP expectations, balancing consensus and non-consensus bets. Consistent, stable performance is rewarded over high-risk heroism; only proven investors earn the right to make bold moves. Hadick also challenges the romantic notion of backing overlooked founders or purely original ideas. Most successful companies aren't first in their category but execute best. Founders are incentivized to build profitable products that attract investment, not necessarily to innovate radically. Ultimately, market forces—not ideological rhetoric—govern both VC and founder success.

marsbit04/13 10:51

Dragonfly Partner Talks About the Truth of Crypto Venture Capital: Market Logic Far More Important Than Ideology

marsbit04/13 10:51

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