从芭蕾舞者到最年轻亿万富翁:她如何打造出百亿帝国Kalshi

比推Published on 2025-12-02Last updated on 2025-12-02

来源:福布斯

作者:Alicia Park

原标题:How Kalshi’s Cofounder Went From Professional Ballerina To World’s Youngest Self-Made Woman Billionaire


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Kalshi 目前估值达 110 亿美元,使其两位联合创始人(Luana Lopes LaraTarek Mansour)均跻身亿万富翁行列,其中,卢安娜·洛佩斯·拉腊(Luana Lopes Lara)也因此成为全球最年轻的女性白手起家亿万富翁。

Luana 毕业于麻省理工学院,拥有计算机科学学位。

大学期间,她的暑期实习经历包括在雷·达利欧的桥水基金和肯·格里芬的城堡投资公司工作。仅仅六年时间,她就打造了一家估值 110 亿美元的初创公司。

然而,这位巴西裔创业者仍将高中时代称为“她生命中最紧张的岁月”:在巴西的鲍尔乔伊剧院学校,芭蕾舞老师曾在她将腿伸展至耳边时,用点燃的香烟放在她大腿下方——这是为了测试她能在不被烫伤的情况下保持这个姿势多久。

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Luana 曾就读于巴西鲍尔乔伊剧院学校,并于 2014 年前往奥地利萨尔茨堡州立剧院为《天鹅湖》进行职业舞蹈表演。

为了在比赛中领先,舞者们会在彼此的舞鞋里藏玻璃碎片,这项残酷的培养计划还包括,她要从早 7 点到中午学习文化课,下午 1 点到晚上 9 点进行芭蕾舞训练。

芭蕾训练的严苛和强度,仅仅是她更宏大抱负的一小部分:她想成为下一个史蒂夫·乔布斯。

部分受其数学教师母亲和电气工程师父亲的启发,Luana 曾为学术竞赛学习至深夜,并在巴西天文学奥林匹克竞赛中夺得金牌,在圣卡塔琳娜数学奥林匹克竞赛中获得铜牌。高中毕业后的九个月里(在当年 12 月毕业后),她在奥地利作为一名职业芭蕾舞者演出,随后脱下芭蕾舞鞋,在美国开启了她的下一段旅程。

如今,29 岁的 Luana 刚刚成为地球上最年轻的白手起家女亿万富翁,取代了 31 岁的 Scale AI联合创始人 Lucy Guo,后者在四月从 Taylor Swift 手中夺得了这个头衔。

她与同样 29 岁的联合创始人塔雷克·曼苏尔,在他们的预测市场公司以 110 亿美元估值筹集了 10 亿美元后,双双迈入了“三逗号俱乐部”(即净资产超过十亿美元)。

专注于加密领域的风险投资公司 Paradigm领投了本轮融资,该轮融资于周二宣布,其他投资者还包括红杉资本Andreessen HorowitzY Combinator等。

这家允许用户对未来事件结果(如选举、体育赛事和流行文化事件)进行押注的公司,其估值在去年 10 月融资 3 亿美元后达到 50 亿美元,在去年 6 月融资 1.85 亿美元后达到 20 亿美元。在不到六个月的时间里,Kalshi 的估值飙升了五倍多,使得这两位年轻的联合创始人(各自估计持有公司约 12% 的股份)的净资产均增至 13 亿美元。

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卢安娜·洛佩斯·拉腊(左)和塔雷克·曼苏尔(右)于 2018 年创立了 Kalshi。

“既然 Kalshi 已经展示了这个市场有多大,现在有很多其他人也想分一杯羹,”风险基金 Neo 首席执行官阿里·帕托维说,Neo 是该公司的种子轮投资者。

据该公司称,自 7 月以来,Kalshi 的名义交易量增长了八倍,在 11 月达到 58 亿美元。

而根据Dune Analytics的数据,其主要竞争对手 Polymarket 的交易量自 7 月以来增长了两倍多,达到 43 亿美元,其自身估值也已飙升至 90 亿美元。

在黎巴嫩长大的Luana 和曼苏尔相识于麻省理工学院,他们是同一个国际学生朋友圈的成员,修读相似的课程,并都以计算机科学为主修专业。

曾经历 2007 年黎巴嫩冲突并在准备 SAT 考试时自学英语的曼苏尔记得,Luana 上课时总是坐在第一排。在曼苏尔开始坐在她旁边向她学习后,两人变得熟悉起来,并在 2018 年双双获得纽约市Five Rings Capital的实习机会后变得更加熟络。

一天晚上,在他们步行回到金融区的实习生公寓的路上,预测市场业务的想法豁然开朗。

“我们看到,大多数交易发生在人们对未来有某种看法,然后试图找到一种方式将其投入市场时,”Luana此前告诉《福布斯》。她补充说,交易员和投资者会将外部事件——如选举结果或自然灾害的可能性——纳入他们的投资决策中。

基于“应该有一种方式可以直接交易事件发生的概率,而非通过传统金融市场间接交易”的信念,他们申请了初创企业加速器 Y Combinator,并于 2019 年被录取。

但预测市场的合法性尚不明确,联合创始人很快面临一场艰苦的战斗。Y Combinator 的名誉合伙人迈克尔·塞贝尔回忆与两人合作的早期日子:当他们意识到需要联邦批准才能合法运营预测市场时,他们联系了超过 40 家律师事务所寻求帮助,但没有一家愿意帮忙,因为创始人太年轻,公司规模太小。

“刚大学毕业,我们就承担了巨大的风险。整整两年没有任何产品——什么都没有发布——如果我们得不到监管批准,公司就会归零,”洛佩斯·拉腊回忆道。疫情期间,她试图在伦敦建立业务,而曼苏尔则回到了贝鲁特的家。(他在那里经历了该市造成 200 多人死亡的致命港口爆炸,数周时间里,他晚上处理 Kalshi 的工作,白天则帮助清理社区和搜寻幸存者。)

最终只需要有一位律师对他们说“是”:曾在美国商品期货交易委员会工作的杰夫·班德曼帮助创始人完成了联邦批准的申请工作,并在监管机构提出反对时协助他们进行斡旋。2020 年 11 月,Kalshi 获得了 CFTC 的批准,成为指定的合约市场,这将其预测市场归类为一种称为“事件合约”的衍生品。

这项批准也使他们在竞争格局中脱颖而出。基于区块链的 Polymarket 当时未受联邦监管,并于 2022 年因运营未注册市场被 CFTC 罚款 140 万美元。

所有这些都给了 Kalshi 一段时间优势。(Polymarket 于去年 9 月获准在美国推出。其创始人谢恩·科普兰是 27 岁,得益于纽约证券交易所母公司最近的 20 亿美元投资,他已成为最年轻的亿万富翁之一。)

然而,监管斗争并未就此结束。2023 年底,当监管机构以“选举合约类似赌博”为由,拒绝了 Kalshi 在 2024 年美国总统选举前推出的选举合约时,是Luana 提出了起诉 CFTC 的想法。“公司的所有其他投资者都说那将是个糟糕的主意,”帕托维回忆道。但这两人还是这么做了。

2024 年 9 月,美国地区法院法官做出了有利于 Kalshi 的裁决,该公司成为美国一个多世纪以来首个受监管的选举合约市场,创造了历史。

“我们真的希望以正确的方式做事,因为我们的愿景是建立世界上最大的金融交易所,”Luana 说。“合法经营是我们不能妥协的事情。”

在选举前的准备阶段,Kalshi 的用户数量翻了一番,用户押注特朗普或卡玛拉·哈里斯的资金超过 5 亿美元。其用户在选举夜前一个月就正确预测了特朗普总统的获胜。(Polymarket 用户对总统选举的总押注额为 36 亿美元。)

“很少有比职业芭蕾舞者更好的训练,能教会你在被告知‘不行’时仍然坚持前行——一次受伤甚至短暂的休息都可能意味着失去你的位置,”a16z 合伙人亚历克斯·伊默曼说。“Luana很早就学会了优雅的坚持……并且她将这种平静的自信带到了 Kalshi 的创立过程中。”

尽管最初有人怀疑它在美国总统大选后能否保持势头,但 Kalshi 表示,现在每周的交易量都超过 10 亿美元,其中超过 90% 的交易量由体育赛事合约驱动。今年 1 月,小唐纳德·特朗普加入了 Kalshi 的顾问委员会。(小特朗普也于去年 9 月加入了其竞争对手 Polymarket 的顾问委员会。)

Kalshi 现已与 RobinhoodWebull 等经纪商整合,甚至引入了对冲基金 Susquehanna International Group 为其市场增加流动性。最近,Kalshi 已与国家冰球联盟到在线市场 StockX 等公司签署了合作伙伴关系,甚至通过与区块链平台 Solana 的集成大举进军加密领域。

该公司表示,新资金将用于扩大与经纪商的整合,并与新闻机构达成新的合作伙伴关系。

然而,它仍然面临来自一些州的监管压力,这些州已对 Kalshi 的体育合约采取法律行动,认为这些合约应在州一级受到监管和征税。但考虑到该公司已成功克服了曾经看似不可能的监管障碍,Kalshi 的投资者仍然看好创始人克服困难的能力。

对于在职业生涯中投资了数千家公司的 Seibel (Y Combinator 合伙人)来说,此刻仅仅是个开始:“在我的认知里,我们从未投资过一家能像这样,对世界具有如此巨大潜在影响力的公司。”


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While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

552 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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