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1/ Salesforce 约 20 亿美元收购 Listen Labs。 这家公司成立还不到 3 年，累计融资不足 1 亿美元。 创始团队预计分走约 11 亿美元，投资人用 9600 万美元本金赚取约 8.5 亿美元利润，综合回报接近 10 倍。 这笔钱最终流向了谁？👇

Salesforce acquires Listen Labs for ~$2b. But who gets the 💰? My usual breakdown below 👇 The company was founded in Sep-23 and had raised less than $100m. Investors will share ~$850m of profits on $96m invested, a ~10x blended. From a huge pivot to a unicorn valuation term sheet they refused, this is truly a wild story ✍️. In the end an incredible outcome for all involved. So let's dive in! 1) The boldest move: walking away from $1.5b 🎲 Listen Labs had a signed $125m Series C term sheet from Menlo at a $1.5b valuation... and walked away from it to sell to Salesforce at ~$2b. This takes a huge amount of courage: few founders turn down a signed unicorn-plus round. @itsalfredw and @florian_jue did it 2.5 years after founding. Huge congratulations are in order for the discipline and execution of the founders here. 2) Founders and team: a life-changing outcome in under 3 years 🥳 By my best estimates, founders and team still own over half the company. At $2b, that's ~$1.1b for them to share. Specifically, assuming a 15% option pool, that is ~$300m for the team and ~$750m for the two co-founders. And, as was the case with Hugging Face, this is all from a pivot. They originally built an AI customer-interview tool to understand why their viral app BeFake was growing, then realised the tool was the business! 3) Sequoia's Bryan Schreier did it again 👑 What few people know is that Bryan was an early backer of Qualtrics... the category Listen Labs is disrupting. Now he led both the seed and the Series A here. By my estimates, those two rounds will return ~$670m combined, or ~25x on ~$27m invested, in under three years. Pattern recognition and industry knowledge have their perks, it would seem! 4) Ribbit: 4x in 8 months ⚡ Ribbit led the $69m Series B in Jan-26 at ~$500m. At $2b, that's ~4x in 8 months. Unbelievable IRR and a great return on a meaningful cheque. 5) Neo does it again, congrats @apartovi 🎯 Listen Labs went through the Neo accelerator early on, which came with a $600k SAFE. On my estimates, that cheque is worth ~$25m+ today. This comes just three months after Cursor's acquisition (a cool >1,000x for Neo). What a hit rate! This one is very straightforward: it is a massive win for everyone. And so congratulations to all involved: Sequoia, Ribbit, Conviction, Pear, Neo and the team!

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🚨 英伟达财报已经过去，现在市场开始用真金白银投票了。 今天美股开盘，$NVDA 一度大涨 7.1%，市值瞬间增加约 3590亿美元。 背后的数据很硬： Q2营收 962亿美元，同比+106% 数据中心 890亿美元，同比+117% FY2028营收预计还能增长约 70% 更夸张的是，这还是在供应受限情况下给出的预期——不是没人买，而是货还不够卖。 财报后华尔街也开始重新算账，多家机构上调目标价，最激进的 Raymond James 直接看到 515美元。 但现在真正值得看的，已经不是英伟达还能不能赚钱，而是： 英伟达卖出去这么多“铲子”，下面挖金子的人到底赚没赚钱？ Salesforce、CrowdStrike已经开始交AI收入的答卷，接下来再看网络和软件端能不能继续接棒。 如果AI能持续变成订单和现金流，行情才有继续扩散的基础；否则最后可能还是少数巨头吃肉。 以前市场问：你有没有AI？ 现在市场问：AI到底给你赚了多少钱？ 你觉得AI下一棒会轮到谁？ $NVDA

【今日异动榜｜OKX涨幅榜被美股“抢榜”了？】 今天 OKX 涨幅榜有点反常： 🥇 xOKTA +26.85% 🥉 xCRM +20.68% xCRWD +19.35% 看着像山寨币，其实都是美股映射资产。 背后也不是无缘无故涨：Okta、Salesforce、CrowdStrike 都有财报/业绩预期催化，美股的热度直接传到了 Crypto 交易所。 真正的 Crypto 这边，CHIP +21.52%、NAVX +19.03%、KMNO +15.04%，暂时没看到同等级重大利好，更像小币资金轮动。 跌幅榜则温和不少，STX -5.98% 登顶，ICX -5.15%、GRVT -3.61%。 所以今天最值得看的不是哪个币涨20%，而是： 币圈现在不光得盯 BTC，晚上可能还得顺手看看美股谁发财报了😂 #今日异动榜# #Crypto打地鼠#

Nvidia acquires Hugging Face for ~$12.9bn. But who gets the 💰? My usual breakdown below 👇 *Investors are sharing ~$7.3bn of profits on <$400m invested. A cool ~20x blended.* *1) The single biggest winner here? Lux Capital.* 👑 Lux is taking the crown for the most $ returned in this transaction. The two rounds they led (Series A & Series C) generated ~$2.6bn combined. They also participated in the Series B. Congrats to @wolfejosh and team. The $15.0m Series A alone will return ~132.5x the capital invested, or ~$2.0bn. The most lucrative round in absolute $ returned. *2) Backing an exceptional team paid off with a >1,000x return for Betaworks and the angels* 📈 The story few people know: Hugging Face started life as a chatbot for lonely teenagers... You sent it a selfie and a sad emoji, it told you it understood. Quite far from where it landed! That is why backing an exceptional team in @ClementDelangue, @Thom_Wolf and @julien_c is always the right thing to do. It paid over 1,000x for Betaworks, Kevin Durant and Thibaud Elziere. *3) Founders and team are crushing it: not taking too much dilution along the way paid off* 👏 I estimate they will share ~$5bn in proceeds, assuming no secondary was taken along the way. A life changing outcome for them and many employees. Taking a 15% attributed option pool at exit, this would mean ~$2bn for the team and >$3bn to share for the three co-founders. Legendary! *4) Salesforce Ventures is cementing its reputation as one of the very best corporate VCs.* 🥇 Salesforce is adding Hugging Face to its long list of successful exits: Snowflake, Zoom, DocuSign, nCino, Auth0... Very few investors can claim as many successes, let alone corporates. The $235m round they led returned $675m in just three short years. Meanwhile, Salesforce's own stock has been flat for the period. Capital well invested! *5) This is a little bit of a heartbreak: but I wanted to congratulate @joinstationf here:* Hugging Face walked into StationF as a 4-person team on day one, June 2017. Back when it was a chatbot for teenagers. They went through multiple corporate programs (Microsoft, Ubisoft, then Naver). Unfortunately they were not investing or taking equity at the time - but they contributed to making it possible. And so for that: hats off. And of course, congratulations to all others involved: Addition, Sequoia, Coatue and many others. No one will be left out!

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.@Mintlify grew 10x in a year. CEO @handotdev shared what's in their internal AI stack: Code: @claudeai @cursor_ai @tryreplicas Design: @replit @lovable Personal agents: @gumloop Code review: @cursor_ai @greptile Agent ops: @slackhq @temporalio Support triage: @parahelp_ai @plainsupport @linear Sales intel: @tryattention @salesforce @meetgranola Knowledge base: @notionhq @mintlify

Luke Pierce 表示，Starbucks 每年在软件上花费 4 亿美元。 昨天，Starbucks 宣布将脱离 IBM 和 Microsoft，转而在内部构建自己的定制系统。 消息传出后，IBM 股价下跌 3%，Salesforce 下跌 4%。

Q：ChatGPT Work 桌面端和 Claude Cowork 桌面端有什么区别？ 两者现在都是桌面端智能体，都能操作本地文件，都能用 Computer Use 控制你的电脑，都支持定时任务。但实际用起来，路径和体验差别不小。 1. 执行架构不同。 Cowork 在你的电脑上运行一个隔离的 Linux 虚拟机作为沙箱，所有文件操作都在这个本地沙箱里完成，生成的文件（.docx、.xlsx、.pptx、.pdf）直接保存到你指定的文件夹。 ChatGPT Work 的桌面端继承了 Codex 的沙箱和权限控制体系，用操作系统原生隔离机制（macOS 上是 Seatbelt，Windows 上是 Windows Sandbox），同时还有一个内置浏览器，不需要额外装扩展就能上网查资料、操作网页工具。 2. 操作电脑的方式不同。 ChatGPT Work 桌面端的 Computer Use 可以在后台操作你的其他应用，点击、打字、移动文件，你会看到屏幕上出现一个"不是你在动"的第二个光标。 Cowork 也有 Computer Use（目前仍是研究预览阶段），通过 Claude in Chrome 扩展操作浏览器，通过桌面端直接操作应用。 3. 应用连接方式不同。 ChatGPT Work 用统一的 plugins 目录，60 多个连接器对接 Slack、Teams、Google Drive、SharePoint、Salesforce 等。你在提示词里用 @ 指定应用名就能拉数据。 Cowork 用 MCP（Model Context Protocol，模型上下文协议）连接器，对接 Slack、Notion、HubSpot、Jira、Linear 等，还有 11 个官方行业插件（销售、法务、营销、财务等），也支持自建插件。 4. 产品结构相似但不同。 ChatGPT 桌面端现在是三合一：Chat、Work、Codex 在同一个 App 里通过模式切换器选择。 Claude 桌面端最近也改版了，从原来的三个标签（Chat、Cowork、Code）合并成了两个标签：Home 和 Code。 Home 里 Chat 和 Cowork 共享同一个首页，对话、Cowork 任务、项目和文件都在同一个侧边栏里，你在消息框左下角切换 Chat 和 Cowork 模式。 Code 标签是 Claude Code 的桌面界面，专门用于软件开发。 结构上，两家现在很像：都是把日常对话、知识工作、编程三种模式塞进了同一个桌面 App。 5. 跨设备能力不同。 Claude Cowork 从 7 月 7 日开始向网页和手机端扩展（Beta，Max 用户优先，其他付费计划陆续开放）。 Cowork 任务现在可以远程跑在 Anthropic 的服务器上，关掉电脑也能继续执行，你可以在手机上查看进度、回复 Claude 的问题、或在另一台设备上接着干。定时任务也能在后台跑了。但有一个限制：如果任务需要读写本地文件、用浏览器、或用 Computer Use，你的桌面端 App 必须保持打开状态，远程会话通过桌面端去够这些本地资源。 ChatGPT 这边，Chat 对话可以在网页和桌面端之间同步。但 Work 对话目前不互通：网页/手机端创建的 Work 对话留在云端，不会出现在桌面端的 Work 里；桌面端的 Work 线程和本地文件也留在那台电脑上。Codex 桌面端任务不会出现在网页端，但可以通过手机 App 的 Remote 标签远程查看。 Claude Cowork 的跨设备同步走得更前面一步，同一个会话可以在桌面、网页、手机端之间流转。ChatGPT Work 目前云端和桌面端是割裂的，这是 OpenAI 明确说了"at launch"的限制，后续大概率会补上。 【来源：