Eon联合创始人：数据基础设施必须为AI时代重塑Eon Co-Founders: Rethinking Legacy Data Infrastructure for the AI Era
The Takeaway：在AI时代，企业最持久的护城河是自己的数据，而传统数据栈无法支撑agent和全民构建者带来的速度与风险。
Eon联合创始人Ofir Ehrlich和Gonen Stein（前CloudEndure，被AWS收购）指出，模型与算力几乎零切换成本，真正稀缺的是企业历史数据。Google以1000万美元买下破产的Spirit Airlines数据就是明证。他们构建的云数据基础能跨多云映射、分类、安全摄取结构化和非结构化数据，在保护与恢复的同时让AI模型直接查询和训练。
安全威胁已从人类勒索软件升级到“合法权限”的非人类agent，速度极快。非技术员工用Lovable等工具构建agent时，往往把敏感数据带出组织边界。旧ETL工具太 niche，无法处理agent生成的海量噪声数据。Eon的目标是让数据团队在不损害生产、安全与合规的前提下，持续获得可用数据。
“我们生活在非常有趣的时代”——每个人都能成为构建者，既是巨大机遇也是巨大风险。云迁移曾是抽象概念，AI则人人可感，董事会正强推采用，Forward Deployed Engineers和PLG因此爆发。
The Takeaway: In the AI era, a company’s most durable moat is its own data, yet legacy stacks cannot handle the velocity and risk introduced by agents and citizen builders.
Eon co-founders Ofir Ehrlich and Gonen Stein (ex-CloudEndure, acquired by AWS) argue that models and compute have near-zero switching costs; the scarce asset is proprietary historical data. Google’s $10M purchase of bankrupt Spirit Airlines’ data is only the beginning. Eon’s cloud data foundation maps, classifies and safely ingests structured and unstructured data across hyperscalers so customers can both protect it and feed it to LLMs.
Threats have shifted from human ransomware to non-human agents that already hold legitimate permissions—and the velocity is extreme. Non-technical employees building with tools like Lovable routinely expose sensitive data outside organizational boundaries. Old niche ETL tools cannot cope with the noise and volume agents generate. Eon’s approach lets data teams continuously access usable data without compromising production, security or compliance.
“We live in very interesting times”—everyone inside an organization can now become a builder, which is both powerful and dangerous. Unlike the abstract cloud transition, AI is viscerally understood by boards, driving rapid adoption via Forward Deployed Engineers and product-led growth.
The Takeaway: In the AI era, a company’s most durable moat is its own data, yet legacy stacks cannot handle the velocity and risk introduced by agents and citizen builders.
Eon co-founders Ofir Ehrlich and Gonen Stein (ex-CloudEndure, acquired by AWS) argue that models and compute have near-zero switching costs; the scarce asset is proprietary historical data. Google’s $10M purchase of bankrupt Spirit Airlines’ data is only the beginning. Eon’s cloud data foundation maps, classifies and safely ingests structured and unstructured data across hyperscalers so customers can both protect it and feed it to LLMs.
Threats have shifted from human ransomware to non-human agents that already hold legitimate permissions—and the velocity is extreme. Non-technical employees building with tools like Lovable routinely expose sensitive data outside organizational boundaries. Old niche ETL tools cannot cope with the noise and volume agents generate. Eon’s approach lets data teams continuously access usable data without compromising production, security or compliance.
“We live in very interesting times”—everyone inside an organization can now become a builder, which is both powerful and dangerous. Unlike the abstract cloud transition, AI is viscerally understood by boards, driving rapid adoption via Forward Deployed Engineers and product-led growth.
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Josh Woodward：Gemini NotebookLM的作者来信是亮点Josh Woodward: Author Letters in Gemini NotebookLM
Google VP Josh Woodward（负责Google Labs、Gemini App、AI Studio）分享，Gemini NotebookLM的Expert Intelligence功能中，作者来信是他最喜欢的部分之一，细节贴心。
Google VP Josh Woodward (Google Labs, Gemini App, AI Studio) highlighted that one of his favorite touches in Expert Intelligence inside Gemini NotebookLM is the letter from the author.
Google VP Josh Woodward (Google Labs, Gemini App, AI Studio) highlighted that one of his favorite touches in Expert Intelligence inside Gemini NotebookLM is the letter from the author.
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Zara Zhang：Slop与否取决于是否包含独特人类经验Zara Zhang: Slop Is About Unique Human Perspective, Not AI Origin
Builder Zara Zhang认为，判断内容是否为slop，与是否由AI生成关系不大，关键在于是否由具体、独特的人类经验或视角驱动。人类生成的slop同样大量存在。她同时询问在Grok Bot虚拟电脑上登录真实X账号执行任务是否有封号风险。
Builder Zara Zhang argued that whether content is slop has less to do with AI generation and more with whether it is informed by specific, unique human experiences or perspectives—there is plenty of human-generated slop. She also raised the practical question of account risk when signing into a real X account inside Grok Bot’s virtual computer.
Builder Zara Zhang argued that whether content is slop has less to do with AI generation and more with whether it is informed by specific, unique human experiences or perspectives—there is plenty of human-generated slop. She also raised the practical question of account risk when signing into a real X account inside Grok Bot’s virtual computer.
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Nikunj Kothari给创始人的建议：好BP甚至不需要提“AI”Nikunj Kothari: Best Pitches Don’t Need the Word “AI”
FPV Ventures合伙人Nikunj Kothari提醒创始人：最好的BP甚至不需要出现“AI”一词；AI也不能成为唯一的“why now”。提前处理这两点会更有说服力。
FPV Ventures partner Nikunj Kothari advised founders that the best pitches do not even need the word “AI,” and that AI cannot be the only “why now.” Getting ahead of both points strengthens a pitch.
FPV Ventures partner Nikunj Kothari advised founders that the best pitches do not even need the word “AI,” and that AI cannot be the only “why now.” Getting ahead of both points strengthens a pitch.
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Dan Shipper：AI没有坏主意，只有弱模型Dan Shipper: In AI There Are No Bad Ideas, Just Weak Models
Every CEO Dan Shipper写道，在AI领域没有坏主意，只有弱模型——随着指数曲线继续，每个想法都会有它的日子。他同时宣布公司已设立Head of Evals，相关工作将带来显著改变。
Every CEO Dan Shipper observed that in AI there are no bad ideas, only weak models—every idea has its day as the exponential continues. He also announced that Every now has a Head of Evals whose work is already proving transformative.
Every CEO Dan Shipper observed that in AI there are no bad ideas, only weak models—every idea has its day as the exponential continues. He also announced that Every now has a Head of Evals whose work is already proving transformative.
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Aditya Agarwal：H1-B问题可以同时成立的多重真相Aditya Agarwal: Multiple Truths on H-1B Can Be True at Once
SPC普通合伙人、前Dropbox CTO Aditya Agarwal（自身经历过F1到绿卡全流程）指出：H-1B确实存在滥用，应制止；同时美国对真正高技能人才的留用门槛过高，尤其是高技能印度人；任何国家法律都应优先本国公民。这些观点可以同时成立。
SPC General Partner and former Dropbox CTO Aditya Agarwal (who personally navigated F1 through green card) argued that several things can be true simultaneously: H-1B abuse exists and should be stopped; the U.S. makes it too hard for truly high-skilled talent to stay; high-skilled Indians face particular difficulty; and every country’s laws should prioritize its own citizens.
SPC General Partner and former Dropbox CTO Aditya Agarwal (who personally navigated F1 through green card) argued that several things can be true simultaneously: H-1B abuse exists and should be stopped; the U.S. makes it too hard for truly high-skilled talent to stay; high-skilled Indians face particular difficulty; and every country’s laws should prioritize its own citizens.
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Garry Tan：数据中心创造繁荣与好工作Garry Tan: Datacenters Create Prosperity and Good Jobs
Y Combinator总裁兼CEO Garry Tan强调数据中心带来繁荣和好工作，并批评旧金山部分政策与官员。
Y Combinator President & CEO Garry Tan highlighted that datacenters create prosperity and good jobs, while also criticizing certain San Francisco policies and officials.
Y Combinator President & CEO Garry Tan highlighted that datacenters create prosperity and good jobs, while also criticizing certain San Francisco policies and officials.
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Matt Turck：热轮中的VC尽职调查Matt Turck: VC Due Diligence in a Hot Round
FirstMark合伙人Matt Turck分享了热轮融资中VC尽职调查的现实图景。
FirstMark partner Matt Turck shared a snapshot of what VC due diligence looks like in a hot round.
FirstMark partner Matt Turck shared a snapshot of what VC due diligence looks like in a hot round.
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Amjad Masad：增长Agent仍是未被充分挖掘的潜力Amjad Masad: Growth Agents Remain Untapped Potential
Replit CEO Amjad Masad指出增长agent仍有巨大未被挖掘的潜力，并在OpenAI-Cursor消息后强调Replit作为独立多模型替代方案的优势。
Replit CEO Amjad Masad noted that growth agents still represent largely untapped potential, and positioned Replit as an independent multi-model alternative after the OpenAI-Cursor announcement.
Replit CEO Amjad Masad noted that growth agents still represent largely untapped potential, and positioned Replit as an independent multi-model alternative after the OpenAI-Cursor announcement.
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