20VC:Sequoia 的领导层交接|Michael Burry 做空 NVIDIA 与 Palantir|Gamma 以20亿美元估值融资1亿美元|AI 世界里护城河是否已死|Datadog 飙升、Duolingo 暴跌:究竟发生了什么
AI 的收入证据已经摆在台面上,如今更难争论“有没有增长”,只能争论增长斜率。 Harry 引用了 Altman 的说法:OpenAI 今年 ARR 将达到200亿美元;Anthropic 预计2028年达到700亿美元;Gamma 仅用50人就实现了1亿美元收入。Rory 的判断是:“此时此刻,收入已经兑现”;真正可交易的不确定性在于明年的资本开支是800亿美元还是400亿美元,而不是需求是否存在。
Michael Burry 做空 NVIDIA 和 Palantir、规模达11亿美元的交易,方向可能正确,但仍会因为期权逼近到期日而亏损。 NVIDIA 报188美元时,Rory 以47天期限、执行价180美元的看跌期权为例,投入约9美元;股价必须跌到160美元,仓位才会翻倍,而如果跌不破执行价,投入就会全部归零。两年期看跌期权成本为50–55美元,除非 NVIDIA 跌到约150美元以下,否则仍会亏损;要实现同样的2倍回报,则必须跌破100美元。把“投资过度”的“拍脑袋胡扯播客观点”转化成一笔有明确时间窗口、能够盈利的交易,“他妈的难”。
当 AI 不再只是副驾驶,而是成为团队的一部分,软件的下一个 TAM 才会打开。 Jason 的 Replit v3 能记住此前的工作、讨论错误,并在15分钟内上线一个新的生产页面;Gamma 已经能把公司数据转化为定制化销售材料,大约10分钟完成,过去则要几周。门槛在于 AI 足够“自主、懂行且强大”,能够在人类定期检查下完成实质性工作——一旦达到这个门槛,“可触达的收入规模会非常高”。
AI 没有杀死护城河,只是把护城河变得可信的时间点进一步推迟了。 过去, incumbent 可能需要一年半甚至更久,才能决定是否复制一款产品;如今30–90天内就能做出有竞争力的复制品,因此早期收入爆发“没有过去那么有防御性”。Jason 仍然认为最终会出现一个更晚到来的“稳定平面”;Rory 则认为,只有当分销能力、工程深度和市场认可共同收窄竞争者范围后,防御性才真正出现。
后期阶段的证据降低了运营风险,但估值扩张得太快,足以吞掉这部分收益。 Rory 认为,投资概率可以从种子轮或早期 A 轮的十分之一左右,提升到 B 轮时约三分之一;Harry 则认为,算上 Codex、Claude Code、Vercel、Figma Make、Salesforce、Atlassian 及其他相邻竞争者,横向 AI 市场的胜率可能仍只有七分之一到十分之一。Harry 提到的一家公司,收入从约400–500万美元、估值2亿美元,增长到收入8000万–1亿美元、估值20亿美元,既体现了真实的去风险,也体现了共识形成后的定价。
结果分布越分散,逻辑上越需要分散投资,但持股比例的计算可能把种子基金推向机构级规模。 Jason 的例子需要最初投40笔、每笔500万美元的支票,另留2亿美元储备,再准备约1亿美元支付费用并保留灵活性——这就是一只5亿美元的“小型种子基金”。Harry 提出,更大的潜在结果允许基金持有更低比例;Fabrice 则提到一只持有100–150个仓位的 LP 基金,每笔投入10万–15万美元,并认为如果公司最终价值达到1000亿美元,那么在5000万美元估值时投入100万美元也完全可以成立。
融资已经变得残酷地二元化,而最好的融资流程在公司正式融资前就已经被培育出来。 Jason 认为市场进入了“显而易见时代”:YC、Neo 或 South Park Commons 背景,或炙手可热的 AI 原生增长,都能获得融资;传统 SaaS 则举步维艰。Harry 举的例子收入从40万美元增长到300万美元,经历了120场会议,最终只拿到一份1000万美元的投资意向书,对应4000万美元投后估值。两人的共同结论是:“运行得最好的融资流程,感觉不像一个流程”,因为在尽调开始前,几位投资人已经被提前调动起来。
公开市场给 AI 的信用,属于那些正在捕获新增预算的公司,而不是仅仅给产品加上 AI 功能的公司。 Datadog 上涨23%,符合“把东西卖给那些正在做 AI 的人”的规则;Duolingo 下跌25%,说明如果没有新的经济学逻辑,“撒一点 AI 粉”并不能换来估值溢价。Jason 给出的优先级很明确:绑定算力支出、替代人力,或用 AI 取代 incumbent 并夺走其收入。
1. Sequoia 的交接,暴露了旧创投打法的压力
Harry 将 Roelof Botha 在担任掌舵人3年后离任、由 Pat Grady 和 Alfred Lin 接任,定义为一次影响格外重大的变动。Rory 从外部视角给出的判断很直接:“CEO 发生更替,总是因为出了问题。”
Rory 谨慎地没有断言 Sequoia 在 AI 上已经落后。他的判断是,机构内部可能形成了一种认知:在错过融资轮次、放弃优质公司、以及面对一个突然变得更激进的市场之后,Sequoia“本可以做得更好”。
Jason 将问题从 Sequoia 扩展到整个行业:过去10–15年里的许多投资人、高管和创始人,可能都不适合下一个10年。“旧打法已经失效”;对于不愿重新学习的人,他的建议是拿着 NVIDIA 股票,买一套海滨房产,然后退出江湖。
Harry 用“Walmart 对 Chanel”来概括结构性分化:一边是超级平台和资本高墙,另一边是 Benchmark、USV 这类专注型精品机构。将早期投资和成长期投资拆开,可能有助于专业化;但 Rory 警告,上面那个人会变成一个岌岌可危的“管理者的管理者”,越来越远离“谁打下胜仗谁吃肉”的逻辑。
2. Sequoia 的冷酷,可能比合伙制的稳定更健康
Rory 欣赏 Sequoia 不接受“因为轮到某某了,所以领导权就该归某某”的做法。如果合伙人认定必须换人,它就会采取行动,而不是为了保护一个不可触碰的人物,再拖上5到6年。
Jason 的看法没那么浪漫:合伙制天然存在功能失调,因为个人表现很少能与经济回报清晰对应。平分 carry 时一切看起来其乐融融,直到一个合伙人投中了赢家,另一个合伙人押中了巨额亏损:“匕首永远已经出鞘。”
Rory 的反驳值得保留:他并不是说匕首会消失,而是认为经济表现应该推动职业上的变化。在他看来,Sequoia 能够说出“这不奏效,我们做个改变”,既健康,也非常 Sequoia。
3. Michael Burry 的做空,是伪装成宏观判断的择时交易
Harry 引入了 Burry 被报道持有的、规模达11亿美元的 NVIDIA 和 Palantir 空头敞口。Rory 认同 AI 资本开支最终会过度、并发生修正这一大方向,但他进一步追问:这个判断能否真的转化为一笔盈利交易。
NVIDIA 报188美元时,Rory 以47天期限、12月到期、执行价180美元的看跌期权为例。每投入约9美元,NVIDIA 跌到160美元大约可以实现2倍回报,跌到100美元大约可以实现8倍;如果股价没有跌破执行价,“你会全部亏掉”。
Burry 这次异常提前披露,对 Rory 来说很关键,因为期限很短的仓位会从舆论曝光中受益。此前据报道,他总是在法律允许的最后一天提交文件;这次提前公布仓位,看起来像是在试图“把坏消息一股脑压上去”,又不直接明说地唱空这只股票。
拉长期限也不能消除难度:两年期、执行价180美元的看跌期权可能要花50–55美元,除非 NVIDIA 跌到约150美元以下,否则会亏损;要实现2倍回报,则需要跌破100美元。期权是零和博弈,对最终会发生修正的模糊判断远远不够。
4. 当前收入已经兑现,继续对抗 AI 趋势“蠢得像石头”
Harry 质疑节目反复担心 AI 收入是否会到来:据称 Altman 预计 OpenAI 今年 ARR 将达到200亿美元,Anthropic 预计2028年达到700亿美元,而 Gamma 仅用50人就实现了1亿美元收入。
相比遥远的预测,Rory 更看重当年预测在当年被不断上调。Anthropic 上调指引因此具有实际意义;CoreWeave 面临的问题是让数据中心投入运营,而不是找不到客户,这也进一步印证了算力需求。
他的结论异常绝对:“怀疑论者听起来很聪明,乐观主义者赚到了钱。”AI 可能是早期互联网以来最大的超级趋势,因此“顺势而为是唯一理性的做法,逆势而行则蠢得像石头”。
真正合理的二阶讨论在于规模。一家公司明年是花800亿美元还是400亿美元,会形成具有实质影响的差额,尽管两个数字都代表爆炸式需求;因此质疑外推,是风险管理,而不是否认趋势。
5. Gamma 和 Replit 展示了工具如何变成能创造收入的队友
Gamma 在实现1亿美元收入后,以21亿美元估值融资1亿美元。Jason 以 SaaStr 的使用场景为例:Gamma 可以调取 Salesforce 和营销自动化数据,计算某个赞助商此前带来的线索和 ROI,识别竞争者及相似公司,并在约10分钟内生成定制化销售材料,远不只是“AI PowerPoint”。
SaaStr 每月支付约100美元,即每年1200美元,用来完成过去可能依靠免费的 Google Slides 或 Microsoft Office、却需要营销运营团队花3周才能勉强做完的工作。Jason 称之为隐形 TAM 扩张。他还认为,如果 Gamma 继续向10亿美元 ARR 迈进,20倍收入估值听起来不会贵;Harry 补充说,这家公司已经盈利。
Jason 曾在125天内、没有工程师参与的情况下上线10个应用。Replit v3 是他第一个认为真正属于自己团队的 agent:它能保留约1个月的上下文,记住此前的实现选择,讨论错误,并在15分钟内把一个新想法投入生产。
他的分界线是自主性、知识储备,以及在定期监督下完成高价值实质工作的能力。Copilot 是2024年的故事,但作为付费工具并未奏效;现在的故事是 AI 终于可用;2026年的机会,则是让 AI 嵌入团队,而不只是帮助单个员工。
Jason 认为这轮爆发来自最近的能力跃迁:Gamma 成立于2020年,但直到今年才有收入;他还表示,Replit 和 Vercel 也是在模型足够强之后才真正爆发。
6. 更快的复制品把防御性推迟了,但未必让护城河归零
Harry 认为,投资人的新负担,是持续重新学习过去12个月技术上已经能做到什么,以及未来12个月将能做到什么。“我6个月前知道的东西”可能迅速失效,过时的技术判断等同于闭着眼下注。
Jason 对比了新旧响应周期:过去一家公司可能需要一年半才能决定是否值得复制某款产品,再花大约两年认真组建团队;如今一笔投资在30天内就吸引了5个复制者,其中包括一家云计算巨头。自上次采访以来,Canva 的演示产品也已经变得与 Gamma “近乎具备竞争力”。
反过来的支撑,是一个更晚出现、但仍然脆弱的“稳定平面”。Jason 认为,Replit 这样的复杂产品能够拉开差距,因为竞争对手无法复现底层 agent;曾经的早期领跑者 Bolt 已经跌至第三,并将 agent 层外包给 Claude。他还警告,公司如今必须以“996”的强度工作,因为3年的产品周期可能压缩到90天。
Harry 提出通过 Solve Intelligence 的专利工作流积累垂直数据;Jason 则指出,专利是公开的,也能被竞争对手摄取。Rory 更宽泛的规则是:种子阶段的防御性大多是想象,团队必须高速执行、保持技术领先、赢得分销,并成为市场“钦定”的赢家之一。
7. 估值问题在于:投资人是否因承担更高方差而获得了足够回报
Jason 接受在300万或500万美元投后估值时押注高风险、靠团队和速度取胜的模式,但质疑在5000万美元估值、单笔500万美元支票下是否还成立。如果创新可以被即时复制,投资人就必须问:进入价格是否足以补偿风险。
Rory 按阶段区分概率:种子轮投资人主要了解的是人;早期 A 轮时,即使有5到6家公司接近100万美元收入,成为赢家的概率仍可能只有十分之一;到了 B 轮,增长速度和竞争排序有时可以把可信的领跑者收窄到约三分之一。
Harry 借助代码生成和 vibe coding 反驳这种确定性。Cursor、Cognition、Replit、Lovable、Vercel、Codex、Claude Code、Salesforce、Atlassian 和 Figma Make 让赛道仍然是“众多选一”;一家顶级、获得风投支持的创业公司,如果最终被相邻平台击败,那它的身份毫无意义。
Rory 承认平台风险仍在,但认为信息增量依然真实。Harry 提到的一家公司,收入从约400–500万美元、估值2亿美元,增长到收入8000万–1亿美元、估值20亿美元,品类风险和执行风险都已消除;估值随后扩张,填满了这块空间,最终问题变成:TAM 是否足够大。
8. 不确定性上升,推动基金构建走向分散化
Jason 的算术从40笔种子投资开始,每笔500万美元:初始投入2亿美元,另留2亿美元储备,再准备约1亿美元支付费用并保持灵活性。因此,要同时维持持股比例和分散化,可能需要一只5亿美元的种子基金。
Harry 认为,结果分布扩大后,初始持股比例可以降低。Fabrice 随后提到一项 LP 投资:通过每笔10万–15万美元的支票持有100–150个仓位,已经实现7倍基金回报;他还认为,在公司最终价值达到1000亿美元的情况下,5000万美元估值时投入100万美元也可以成立。
Rory 指出,Harry 的回答其实默认接受了更高程度的分散化,而不是否认风险上升。退出周期更长、经营结果方差更大,逻辑上都意味着需要略多的持仓,可以通过更小的支票、更大的基金,或有意识地降低持股比例来实现。
9. 投资人会议节奏必须匹配策略和个人风格
Harry 表示,合伙制每位合伙人每周要见20家新公司;他有4位投资合伙人,意味着每周线下接触80家新公司,每年超过3500场公司会议。Jason 的回应是,与其采用这种节奏,他宁愿“把所有 carry 都还给你”。
Rory 称自己是“会议成瘾者”,因为即使是普通机会,也可能透露一条 deck 无法提供的市场洞见。他的打断式风格会跳过大部分幻灯片,直接提取运营者掌握的“关键知识内核”。
Jason 更偏好一封有力的邮件、deck、财务数据和此前5次投资人更新,现在再加上 Claude。只有真正出色的创始人,才能在这些材料之外提供足够多的信息,证明一次会面值得;如果某位创始人获得他投资的概率是0%,逼着他喝杯咖啡对双方都没有意义。
10. 最好的融资流程,在正式启动前就已经完成
Harry 认为,一位创始人在11月19日拒绝他已经准备签署的投资意向书、转而启动正式融资流程,显得很冒犯。如果他已经满足了对方提出的价格,那么在 Harry 看来,创始人其实是在为另一位合伙人做优化,应该直接说清楚。
Rory 区分了已承诺的报价和模糊的兴趣。一份真正的投资意向书值得认真考虑,但如果公司把数据依次分享给一两家尚未承诺的机构,就会形成一个“意外启动的流程”;如果对方拒绝,公司实际上已经在正式融资前输掉了一轮融资。
Jason 偏好的方式,是创始人通过持续更新和关系经营,提前培育多位投资人,等他们已经做好准备后再宣布融资。最优版本甚至不需要传统意义上的 data room:投资人既然已经想投,剩下的材料可以只是一个尽调文件,例如 Jason 标注为“Box-diligence investment 12/21/25”的案例。
Rory 的总结进一步点明了核心:“运行得最好的融资流程,感觉不像一个流程,但它确实是。”利用既有兴趣进行时间安排,可以在不明显玩弄规则的情况下形成竞争性结果;但只有足够有吸引力、业绩足够好的公司才能做到这一点。
11. 融资是二元的,而 AI 奖励新增预算,而不是新增功能
Jason 将市场称为“显而易见时代”:与 YC、Neo 或 South Park Commons 的关联,可以打开 pre-seed 关注;更后期的公司则需要炙手可热的 AI 原生定位和顶级四分位的风投增长。过去还能融资的中间地带,基本已经消失。
Harry 举的具体案例是一家传统企业 SaaS 公司,收入从40万美元增长到300万美元。它经历了120场会议,最终只收到一份投资意向书:融资1000万美元,对应4000万美元投后估值;对于一家收入增长10倍的公司,这相当于约12倍收入估值。
Datadog 则代表了相反的结果:股价上涨23%,Harry 提到“1500万美元以上的 AI 原生客户”,但没有说明具体指标。Rory 将打法概括为“把东西卖给那些正在做 AI 的人”;可观测性、交换机、路由器和互连设备都会随着前所未有的算力消耗同步扩张。
Duolingo 在季度业绩不错、但指引略显疲软后下跌25%。Jason 称这是“错误类型的 AI”:改进现有产品,如今不会获得额外认可。一家公司必须绑定算力支出、替代人力,或用 AI 夺走 incumbent 的收入。
12. Education 和 Hummingbird 展示了资本效率的两种版本
Rory 不愿把每个 AI 应用都简化为裁员。在教育领域,AI 可以给学生提供个性化教学,其体验更接近一对一辅导,而不是20人课堂;在语言学习中,真正可信的预算来源可能是已经在为真人教练付费的成年人,而不是现金紧张的公立学校。
Jason 接受产品价值,但持续追问:“预算从哪里来?”如果 AI 既不替代人力,也不捕获算力支出,就必须取代传统供应商;对于 Duolingo 这样的 incumbent,这很难,因为它可能需要蚕食自身现有收入。
Harry 最后谈到 Hummingbird 的第一笔生物科技投资 BillionToOne,该投资在 IPO 时形成约8亿美元仓位。他还提到 BillionToOne 的50亿美元估值和 Nirvana 的45亿美元估值,两者都体现了资本高效公司与集中持股的力量。
Jason 认为,一只规模达到8位数或9位数的基金还能维持持股比例,是“神级操作”;Rory 则为接受稀释辩护:投入400万美元后,持股从20%降到12%,仍然可以为基金创造惊人回报。小规模、高 MOIC 的基金,往往才是边际 LP 资金更有吸引力的归宿。
Jason Lemkin
Tools are great. When the AI is part of your team, for real—not VC talk—the amount of revenue that's accessible is so high.
Rory O'Driscoll
Sell shit to the people who are making AI, and if they grow, you'll sell more shit too.
Jason Lemkin
You just can't take that early, first-month explosion as seriously as you used to. It's not as defensible.
Rory O'Driscoll
The pace of evolution is so fast. If you decide, “Well, what I knew 6 months ago is still useful,” you're probably going to be wrong very quickly, right? That's what I find the most stressful about right now.
Guys, it is so good to be back with you. I've just come back from my AGM, and it's a humbling thing for me because for 10 years I did this show solo, and then I go to my AGM, and do you know what everyone says? “Oh, we love Rory and Jason. We love Rory and Jason.” And I suddenly realized that I wasn't the star of the show.
Jason Lemkin
Just kick us off. End this now.
1. Sequoia Changes Leadership
Fine, I'll kick us off with big, big venture news. We've said before how Sequoia are the kings of venture. There's been a leadership transition at the top. We saw Roelof Botha moving out as steward after a 3-year tenure and being replaced by Pat Grady and Alfred Lin, which was, I think, quite surprising news to the venture ecosystem. I'd love to hear how you thought about it.
Rory O'Driscoll
Sure. It just brings home how tough venture is right now. This is the best firm in the world, and they're feeling what's going on in AI: that they're behind. I think everyone in venture, especially if you have bought a large existing portfolio and you're trying to compete for these new deals in the last 3 years, is feeling stretched. Everyone is feeling tired. Everyone is feeling it's brutally competitive.
This is going to sound kind of—not schadenfreude—but it's more reassuring in a way. I get up and I go, “God, we need to do better. We need to sort this out.” Then you realize the best firm in the world is having exactly the same feelings. That was the first comment.
Why do you think a leadership transition is showing that they're behind in AI?
Rory O'Driscoll
Look, whenever you have a CEO change, it's because something is wrong, right? And again, if you want to go down into the weeds of the interpersonal stuff and people's perceptions of other people, we can talk about that later. But my outside-in reading is that, in part, this is dissatisfaction about how the firm is doing relative to the competition.
Look, I'm not saying they are behind; I'm saying there's a perception internally that they could do better. They missed some rounds and some deals. They passed on some great companies. That can be frustrating.
Jason Lemkin
Well, maybe 2 thoughts. One is that, in general, more people should be stepping aside today. I think more people—VCs, executives, founders. And I'm not saying this is exactly what happened at Sequoia. I mean, that's the articles, right? It's about AI and missing Cursor and missing these deals. Maybe that's true.
Most folks from the last decade or 15 years are not the right people for the next decade. I could only imagine that we don't even need half the VCs we have today for the AI world. Maybe they'll spend the money. Maybe they'll throw a few nickels into Cursor at $30 billion and get a few logos on the website. The old playbook doesn't work, and the pace is so fast. Take your coins, take your NVIDIA shares, and buy a beach house. Seriously, check out. It's a good time to check out, guys.
Rory O'Driscoll
One of the things I admire most about Sequoia is their toughness and their willingness and ability to evolve. I'm not commenting on the merits of the case, but if the internal group feels they need to make a change to continue to execute, what they did not do was make that fatal error—which we can talk about in politics in a second—of saying, “It's someone's turn,” and then saying, “It's so-and-so's turn, so we'll leave him in.”
They did the exact opposite. They ruthlessly said, “If we're going to compete, we need these people, not those people,” and they made a change. And I admire that. All they needed to do was call a vote and have a discussion, sit down with the partner in question, and have a discussion. I think that's healthy.
I think with some of these organizations where so-and-so can't be touched, you always say to yourself, “Does that create a false sense of security when you just can't afford to have that in this market?”
To me, it's like a specialization in leadership that's correlated to the winners and losers in venture in the next 10 years. And I think the winners are Walmart, which is your megaplatform. It's your Thrive, it's your Lightspeed, it's your General Catalyst, it's your walls of money, and it's your boutiques, which are your Chanels. Walmart versus Chanel.
The boutiques are your Benchmarks, your USVs, your specific products. And I think when you see this splintering of leadership between Alfred Lin on Early and Pat Grady on Growth, I wonder if it's this kind of attempt to play into one of those. Because right now I do see them, and I love Sequoia and respect them intensely, but actually in the middle, which I think is quite a hard place to be.
Rory O'Driscoll
It's an interesting comment. They are more like a manager of managers. You have an early-stage team and a late-stage team. What that means, by the way—and I want to talk about this for a second and then come back to the megafund comment—is that the person on top is no longer even a manager of a venture firm; he's a manager of managers of venture firms.
One of the bigger hardships is being on top of those organizations where you have these structures underneath. It's just a very hard and precarious place. If you're not actually running one of the groups that's putting out the money, if you've allowed your job to become helping other people do things who, in turn, are managing money, you're more removed from being able to eat what you kill, and it just becomes a more precarious position.
Jason Lemkin
Having watched venture firms and law firms and others, I really can't think of something more dysfunctional in many ways than partnerships. One of the reasons partnerships are dysfunctional, and maybe it does tie this in, but maybe we could move on, is that it's almost impossible for performance to tie to economics.
If Harry and I are equal partners, if the 3 of us are equal partners, and I have all the winners, it's all fun the first year. But the second year I've got the winners, and then Harry made that big bet and it blew up on us.
And we're friends, but our carry is equal, and then we're raising another fund and we have to argue over carry in the next fund. My limited experience is in partnerships: the daggers are always out. I love your kumbaya view, Rory, but I haven't seen it in the real world yet.
Rory O'Driscoll
I didn't say the daggers weren't out. Because seriously, let's talk about this. In the end, economic performance drives change. One of the things about Sequoia you have to admire is that they didn't say, “We've made this decision. Let's stick with it for 5 or 6 years.” They said, “It's not working. Let's make a change.” It's very Sequoia. It's very on-brand.
2. Burry Shorts AI Leaders
Listen, I want to discuss Michael Burry, famed for The Big Short, pulling another big short: a $1.1 billion short on NVIDIA and Palantir. It had some pretty significant ramifications on the market. How did we think about Michael Burry and the subsequent downfall that it caused?
Rory O'Driscoll
Zooming out, you look at the AI CapEx spend and you go, “At some point this is going to overshoot, then there's going to be a downturn.” Uncontroversial statement. Even Sam Altman would say it, right? I did the numbers. What I actually did was, I decided in this case, since I've been opining on AI CapEx, to say to myself, “What would it look like to make Michael Burry's bet?”
Let's make it real here and actually look at the numbers. NVIDIA stock on Monday was $188. If you wanted to buy puts at $180, which means these things have no value unless your stock is below $180, and let's just say you buy December of this year, so you've got 47 days for that stock to go down, for every $9 you bet, you make 2x your money if the stock goes to $160. You make 8x your money if the stock goes all the way down to $100. In other words, it almost halves.
If you're buying puts, you're betting that in the next 47 days, you have to have that stock go from $188 to $160 just to make 2x on your money. Remember, if it doesn't go down, you lose it all.
Jason Lemkin
You don't even get a quarter.
Rory O'Driscoll
You lose it all. It's not like a stock. I look into that and I'm going, “Hmm, I've got to get it right to make 2x,” and that's pre-tax, right? I'm saying, “Would I have the guts to do this? I believe the CapEx is overinvested. I believe at some point it'll correct. Would I take that bet?”
Would I put $1 million in where I could get $2 million if NVIDIA goes from $188 to $160 by December 20th, or whatever it is, and I lose it all if it stays above $180? No.
One of the interesting things Michael Burry did was release his SEC filing early. In other words, he didn't have to disclose it until the last day—I think it was 45 days after the end of the quarter. He disclosed it early, and to me that was probably him trying to pile on the bad news. If you're taking a very tightly coupled time bet, where you've only got 47 days to be proven right, you have every incentive to shit-talk the stock to try and move it down.
You're not just a passive investor; you're actively trying to say, “Hey, everybody, look, this is a pile of shit. It's going to go down.” That's what he was doing in a very polite way by giving people the information earlier than he legally had to. As someone pointed out, he filed on the last day every other time, and this time he filed early. So this was someone saying, “Hey, everyone, look, this is my bet.”
The other interesting math is, if instead you decided, “No, I don't think it's going to crash in 47 days, but I think it's going to crash over the next 2 years, so I'm going to buy these long-dated options, LEAPS.” I'm going to buy puts. The stock's at $188, and I want to buy puts at $180. They're going to cost a lot more. They're going to cost, like, $50 to $55 per trade.
Jason Lemkin
Hmm.
Rory O'Driscoll
Now you lose money unless the stock in 2 years gets below $150. To get that same 2x, it has to go below $100. People talk about shorting, and obviously shorting is more risky than buying puts, but it just brings home how hard a business it is to bet against AI CapEx. My big takeaway was that—
I don't understand, as an asset allocator, how you can rationalize that as an economic decision to make. Given what you have to believe for that 2x to be real and risk-adjusted, it's not a good decision to make.
Rory O'Driscoll
Yes, it's a very hard decision to make. I mean, remember, we did see an 80% Nasdaq decline in 2000. If you time it right, you look like a genius, but it's so hard. I agree with you. On average, the return, especially for amateurs like me trying to do options, is just net negative, because it's a zero-sum business.
Unlike equity investing, where there's an intrinsic overall return, for every winner in options, there's a loser. For every idiot like Rory, there's a smart guy on the other side of the table who prices it better. I agree. I struggle to think how most people can make money shorting, which is why, to your point, Harry, in some weird way, it's good that there are some guys like that out there.
Was it me, or was it Jason? You made the point about just keeping the whole system honest. That's an expensive way to be a policeman. You have to bet your own money to police the system.
It's courage.
Jason Lemkin
If you're great at it—well, Rory's point is that it's almost impossible to be great at this. If you are, you get leverage on your investment. It's a great way to get leverage, but you better be really good at it.
Rory O'Driscoll
You have to be right. Jason, the thing that really impressed me when I did this analysis is that you not only have to be right, but you have to be right on timing. I think it's easy to be roughly right.
I'm going to say it here: I think Michael Burry is right. It's very hard to imagine a company trading north of 110 or 120 times revenues, like Palantir, growing at 50% or 60% last quarter, having a great, amazing quarter, and kicking off cash. It's very hard to imagine that, in the next 2 years, it doesn't have a significant correction. It's very hard to imagine that the AI CapEx boom doesn't have a significant correction.
But going from that arm-wavy, bullshit podcast statement to actually being able to make money on it, that's damn hard.
3. AI Revenue Is Here
You talked about the excitement waning around AI and air being let out of that bubble and excitement. That's all predicated around, “Will the revenue show up? Will the revenue show up?” Well, the revenue is showing up. Altman says OpenAI is going to hit $20 billion ARR this year. Anthropic projects $70 billion in ARR by 2028. The revenue's showing up in the billions. Are we not answering our own question? Do you think we're almost being overly negative in asking, “Where's it showing up? Where's it showing up?” when it's already showing?
Rory O'Driscoll
Agreed. You are, and they are increasing their estimates. I don't care if you're changing a 2027 estimate up, but the real fact is, if you're changing a 2025 estimate up as the year goes on, that's an enormously positive signal, and I think Anthropic in particular has been doing that.
So you're right: the revenue is showing up. The growth rates are showing up. Even when you look at—funny, CoreWeave's had a little bump today, but their problem is not lack of demand. Their problem was, “Oh my God, we couldn't get the data center up and running.”
It's very hard to make an intellectual case right now for anything other than there being massive demand for compute and massive revenue traction. What you're left with is saying some version of, “I don't think it'll grow quite as quickly as other people think.” It's all hypothetical. Right here, right now, the revenue has shown up.
Gamma announced last night—I was reading about it at midnight after my AGM—raising $100 million at a $2.1 billion valuation, having hit $100 million in revenue with 50 people. That's $2 million a head.
Jason Lemkin
Yeah, we run SaaStr on Gamma. It's great. It rocks.
So I guess I'm just asking: are we being overly British? Are we looking for a problem that's not there?
Rory O'Driscoll
First of all, I'm definitely not being over-British, and if that's what's happening, it's time to end this show now. Sorry, Harry. No, but I think you're right. There's wisdom in what you're saying.
Cynics sound smart and optimists get rich. This is a great, enormous megatrend. It's the biggest megatrend we've seen, maybe since the early days of the internet. Maybe it's even bigger. It's an enormous, ginormous megatrend, and leaning into it is the only sensible thing to do. Playing against it is dumb as rocks.
The only reason you even have these discussions is that you have to make the second-order comment to make your question useful, because on an overall trend basis, you're of course right: the demand is huge. It's some version of the question, “Are we going to see $80 billion of CapEx next year or $40 billion?” Both of them are still huge. In both cases, the trend is exploding, and in both cases, everything is still amazing.
But one of them is $40 billion more than the other, and that's where you do have to start saying, “Things are enormously great, but are we overextrapolating?” So I don't think it's being negative to simply say, in a hyper-growth company, exactly how much should you lean in, and how much risk should you take.
4. AI Joins The Team
Jason Lemkin
That's all that's going on here. Let's talk about Gamma. I actually did an all-company meeting for Replit last night. They want to end the year at 250. I can tell you what I learned from both.
We use Gamma at SaaStr, and some folks may not have heard of Gamma. People talk about it as an AI PowerPoint, but they miss the point. I'll tell you how we use it. We use it now instead of sending the same dated prospectus when we have to close $8 million in sponsorships at SaaStr a year to keep the lights on. Before Gamma, it was the same crappy thing.
Now Gamma automatically pulls all of our data from Salesforce and our marketing automation system. If they've been before, it knows the exact number of leads and ROI from the calculation. It knows who their competitors and similar companies are. It makes a fully dynamic piece of collateral for them in about 10 minutes.
It's actually a great deal. We spend $100 a month for Gamma. A couple of ways to think about that: it ain't much for what I just described, is it? But it's $1,200 a year. How much do we spend for Google Slides? Zero. It's built in. How much do we spend on PowerPoint? I don't even know where my key is for Microsoft Office.
It's a stealth TAM expansion. We're spending $1,200 a year on PowerPoint, but we are because of Gamma. I'm the biggest superfan. It's all over SaaStr because you can do epic things that we would have to wait three weeks for a marketing ops team to do, and they would do a crappy job of it. Now we do it in 10 minutes.
If they keep going, it's a billion-dollar ARR business. 20× revenue doesn't sound expensive compared to some of the deals we've done, does it? It doesn't sound expensive. If it goes from 1 to 100 in 11 months at 20× revenue, it sounds cheap.
And profitable.
Jason Lemkin
Yeah. Look, there are some meta issues. I think we're going to see a lot of these folks adding revenue teams, adding sales teams, adding marketers. Never at the ratio of 2021. We'll never see those levels of staffing of humans, but more power to Gamma if it gets to a billion with no sales team.
Knowing a few folks on the team, the B2B use case I'm describing is pretty small today. As that blows up, they're going to add a whole GTM team. They're going to need 100 people to service it. But I think we are underestimating it.
For what it's worth, the other thing I did was this presentation. I've been vibe coding for 126 days. It feels like a lot of change. So I did this presentation at an all-hands at Replit: “125 days and 10 apps.” I launched 10 apps in 125 days without an engineer. I shared the data, most of the stuff that went well, and a few areas for improvement. I learned a lot of things, including that the engineering team there is really, really, really good.
It occurred to me in the middle of this, while I was talking, that the Replit agent—in terms of all the agents we use, we use about 20 agents, 12 real ones—the Replit v3 agent is the first one that is literally part of our team. It's not making us more efficient like our SDRs and BDRs. Replit is part of our team.
It now has an essentially infinite context window. It remembers everything I've done for the last month with it. We talk about it, and we talk about our mistakes. So I'm doing the presentation, and I'm like, “I have this new idea. I want to build a page that spotlights all the AI apps we've spotlighted on SaaStr. I want to rank them, and I want to do links and everything so you can go discover them,” all the ones we talk about.
I fired up Replit. I'm like, “Here's my idea.” And it just remembers: “Yeah, that's what we did on the other one. That's how we're going to do it this one.” In 15 minutes, we're in production. Like Copilot, the lame thing about Copilots is that they were just tools. Tools are great, but when the AI is part of your team—for real, not VC talk—the amount of revenue that's accessible is so high.
If you go to our office, we have little signs. We make fun of them. We have Repli for Replit, Arty for Artisan, which is an SDR, and Quali for Qualified. You can see how clever we are in our nicknames, right? Arty, Repli, Quali. They all have these little desks where there's no human at them anymore. It's kind of weird.
But Replit v3, this latest agent, is the first one that jumped the line from being one of the tools for our team to literally being part of our team, just like a human being. That is going to unlock so much revenue. So much revenue. It's just starting to be capable now.
When Gamma is part of your marketing team rather than a marketing tool, there's a lot of revenue expansion if they can pull it off. We have literally just gotten going because these agents are so much better than they were 90 days ago. If you're not doing it, it's hard to see how much better it is. I think people miss it because they're not doing it, and they're missing when we cross the line to where AI is part of your team.
That's what's coming in 2026. We're missing this. The agent was the story of 2025. The Copilot was the 2024 story. It didn't work. It was a rip-off—spend $30 more a month on Office. No one wanted the rip-off.
This year, OpenAI and Claude finally actually got good. That's why Lovable, Replit, and Gamma exploded. Gamma was founded in 2020. It had no revenue before this year. Replit was founded, like, in the 1800s. It had no revenue until this year. Vercel had no revenue until this year, and they exploded.
That was this year: AI works, right? Next year is AI as part of your team. It's not replacing folks or layoffs. It is literally embedded in your team. I talked about it, but now I see it. That's where we should be investing, as VCs, as humans, as leaders: what happens when AI is good enough to be part of my team?
And you distinguished that. I want to go down this because I'm actually here to learn, too. You distinguished that from just having an individual agent. What's the difference between Replit as an agent, or Arty as an agent, versus being part of your team?
Jason Lemkin
It is sufficiently autonomous, knowledgeable, and powerful to complete material, high-value tasks on its own with some daily discussions, just like on our team, where you have to check in. With some folks, we can check in just once a month—that's enough, right? But it does need some oversight and some discussion, like a human does.
The level of autonomy and capability is: “Gamma, go out. We've got 20 sales calls this week. Gamma, go into my Google Calendar, create prospectuses and sales collateral for all of them. Pull all the data on them from last year from Salesforce, HubSpot, and Marketo. Put them all together, review them once, and then distribute them to the team. And, if you can, join the meeting.”
When Gamma can do that, Gamma's part of our team. It's not just, “Make me a PowerPoint.” It's not just, “Oh, Gamma's the AI PowerPoint.” That's not so interesting, right? Microsoft will figure that out. Canva actually has a Gamma clone now that's not bad.
A lot has changed. AI is so fast. When Cliff was on the show, I accidentally was a little triggering on Gamma. I didn't even really think of them as competitors. But that was the only time Cliff got a little thoughtful. I mean, he was always thoughtful. But now their version of Gamma is pretty good. That wasn't even that long ago, was it?
Yes. Which is why Gamma's got to keep swimming and add all that other functionality.
Jason Lemkin
That also goes back to the beginning of Sequoia. That's why investing is so stressful today.
I think that's the real answer. I'm glad you said that, Jason, because I'm sitting here thinking about it. We were talking last weekend in a partnership, and technically what you really need to understand is what the improvements in the last 12 months—and I think this is what you're saying—and the changes in the model in the next 12 months mean in terms of what can be done that wasn't doable even 12 months ago.
That requires a quantum of time to just get your head around it, right? It is so stressful because you have to make finding that time a priority to know where it's going. The pace of evolution is so fast. If you decide, “Well, what I knew six months ago is still useful,” you're probably going to be wrong very quickly, right?
That's what I find the most stressful about right now: making sure you actually know where the technology is right now versus your opinion 12 months ago. You might look back on what people said 12 or 24 months ago, and they're laughably wrong, right? The whole Copilot thing—I mean, that was like, “Thank you for sharing, but no.” That's just so done.
Trying to have clarity on the next 12 months is necessary just to be able to play. Without it, you're just betting blind, and you're going to get it wrong.
5. Clones Arrive Overnight
Jason Lemkin
There's that. What I think is even more stressful for seed—maybe by B it's a positive—
Yeah.
Jason Lemkin
Maybe Andreessen investing in Gamma at $100 million was the smartest play of all. Or at Replit, right? At later stages—well, they did early, too. I think the quality of clones is only going up.
When we all started in this industry, you'd laugh. You'd be like, “Well, Salesforce...” Or forget it, HubSpot. Pick whoever you want, whatever leader. It would take them like a year and a half to decide if it's worth cloning. Then they'd launch something, and it would be okay because they have smart engineers, but it wouldn't actually do anything for the first 6 months. It would be so feature-poor.
Then after 2 years, they'd decide, “Well, should I put 100 people on this, or should I put 100 people on the—
I'm not kidding. I can think of 1 investment I've made that has had 5 clones in the first 30 days, including 1 from a cloud leader. The same thing will be true: will they sustain it, or will it just be a feature? But the ability of AI to enable us to clone better stuff faster, and the fact that Canva is borderline competitive with Gamma and wasn't when Cliff was on the show, just disrupts what the hell seed investing means. When anything, even with progress, you might see 10 better versions in 30 days.
What does that mean you do, then? I'm a student of this business.
Rory O'Driscoll
Yeah. What do you do?
Jason Lemkin
For seed? I don't know. We should ask the new Benchmark guy who's smarter than me. But for me, I think the answer is the old one. I'm worried it won't hold. Innovation plus the best founders get there. You've got to still bet on the best founders. You just can't take that early first-month explosion as seriously as you used to. It's not as defensible, that innovation. But if you have the best founders—
Rory O'Driscoll
But—
Jason Lemkin
What else are you going to bet on?
Rory O'Driscoll
The interesting question is, to your point on doing Gamma at $2 billion, do you think that same statement is true? Fast-forward: you're now Gamma, you're doing $100 million in ARR. Do you think the next clone who starts at zero can catch up? Or do you think, over time, the distribution moat, the market-brand-leader moat—do you think some kind of moats accrue over time with scale? Or do you think everything's up for grabs all the time?
Jason Lemkin
No, what I think is that there is a plane of stability that is later than it used to be, but is still fragile. I'll give you an example. At Replit, let's say they go from 1 to 250 this year. It's going to be less than Lovable. We'll stipulate it's not as good as Lovable, okay?
Here's what has happened in Replit: most of the competition can't build the AI agent they can. Even Bolt, which was the early leader, is now just at number 3. They don't even have an AI agent anymore; they've outsourced it to Claude. These products that are really, really good are building a deep layer of sophistication.
But if you don't get there fast enough—and we can argue whether Gamma is there or not—if it's sophisticated enough... If anybody on this hasn't used Gamma, I tell everyone to use it. Go into a Google Doc, write 10 points about this show, and then just give it to Gamma and say, “Make me an amazing deck.” Your jaw will drop at what it does when it's coding this deck in real time. Just give it 10 bullet points. It does so much.
But you sure better be working that 996, right? Because Cliff's got a few good folks. It used to take Cliff 3 years. Now it takes Cliff 90 days. That's why I think $100 million, $250 million—these Gammas start to build a moat. I do believe Replit has a moat. Maybe not versus Lovable, but versus all the rest. But, man, you used to get a moat earlier, didn't you?
But that's where I think vertical specialization does accrue benefits with scale. An example is Solve Intelligence, which is AI for patent law. The more patents that go through their algorithms, the better they are at writing, editing, and predicting. It's a very specific use case that gets better with more and more data ingested. You don't get that with horizontal products.
Jason Lemkin
No, and data is going to be defensible in the age of AI. Data is going to be defensible. But those patents are public, right? They can still be ingested by other people, can't they?
Rory O'Driscoll
Yes, they can. I don't know if it's true that you don't get it with horizontal products. I'm thinking aloud. I think you probably do. Take Cursor as a horizontal product. Would you fund another company now from scratch to do exactly the same thing? I think not. I think there does come a point when you do pull away.
I don't think it will remain unstable forever. I don't think you'll have these $200 million–$300 million outcomes and then someone else doing roughly the same thing come and displace them. I think there's this uncertainty period at the start, but I could be wrong. I'm processing in real time here.
6. Defensibility Moves Later
Jason Lemkin
Well, I think that Harry's point about the patent one—let's step away for a minute—
Rory O'Driscoll
Yeah, yeah.
Jason Lemkin
What I think is interesting is the classic question in B2B, maybe all venture, but certainly B2B venture since we all started: how important is it for something to be defensible in the early days? We've debated this for years, since the inception. We've all known deep down that no product that can be built in 60 days can be all that defensible. But we told ourselves the team had domain expertise or this or that.
The question is, today, has the bar gone up? Should we either give up on defensibility for seed investing—just give up that it is a criterion—or should we radically raise the bar, forcing us to go into verticals, corners of the market, areas where there aren't 11 or 100 agents already?
Harry tweeted about support the other day. I can tell you, when I invested in support in the early days, Talkdesk, Gorgias, and Front—no one wanted to do support in the early days. Everyone thought this was the dumbest category. So go find something. Now it's trendy. Don't do that, right? Maybe go find something the cool kids aren't in.
Rory O'Driscoll
I think it's simple. I don't think you can have a major defensibility moat in any of these horizontal or vertical markets at the seed stage, or even, frankly, at the stage we're investing at. The defensibility theorem emerges at scale.
In other words, I do believe what's true in most enterprise businesses is that once you become the anointed winner, once a market coalesces and there are 2 or 3 people, at that point in time, it's yours to lose. You can still screw it up. But provided you have great engineering and stay on top of the trends, on top of the technology, you should be okay.
I think the idea that at the seed stage you're going to find a defensible way to do code generation or code testing and so forth is absurd. You just have to internalize the game you're in, which is that, for most of these deals, unlike deep tech, you're going to have to have an awesome team, run fast, be superlative on technology, and get your distribution early. Then, as you scale up, you become the winner. You can't be anointed the winner up front. Get over it, everybody. It's a high-risk game.
Jason Lemkin
But is that okay at 50 post for a seed round or a pre-seed round? Do the outcomes justify it? That's the thing. Sure, Rory, if the deal's at 3 post or 5 post and I can spread my $500K checks around, I get it. If I've got to spread $5 million checks around at 50 post, it's tougher.
Rory O'Driscoll
That's a much better question, because now we've gone from the abstract of whether it's defensible to the actual nuts and bolts of money. We've recognized that the game we're playing has more variance than we thought the last time, has to run fast, and probably also has more competitors.
Are you getting paid for the risk? I wrestle with the same thing around later-stage companies at $100 million or $200 million pre-money. We have this constant dialogue. If I look at it, we do As and Bs. In the early product-market-fit A, you probably still don't know who the winner is. And in the B, when you know who the winner is, it's going to cost you a fortune. Which of those is the better bet?
But do you think at the B you even know the winner? We look at the B—you mentioned my customer support tweet. Most of those companies had raised Bs. I have no idea who the winner is in that category, and I don't think anyone does.
Rory O'Driscoll
No, I'm going to push on that. I think somewhere between the A and B, you can know a lot more than you know at the seed or the early A.
Do you know when the Bs are preemptive at $3 million to $4 million of ARR, which they are for hot companies today?
Rory O'Driscoll
It's interesting, because this is absolutely what we have to know to do our business, right? At C, Jason can't know. He can just believe, right? But somewhere between the A and the C, you have to know, otherwise we're all ludicrously overpaying.
If you look at all these markets—for example, you mentioned your patent company—I think, without naming it, we have a rough sense of where all the companies are. I think your company is doing very well, Harry. You should be glad to know. That doesn't mean I know where the market is going to end up 10 years from now.
Once the horses are running, and once they round the first furlong, you can actually see the rank order of where they're running in a way you can't at the early A. At $2 million or $3 million in revenue, you're drawing on small pieces of information, but you can see rate of change, and new differences emerge pretty quickly. So I disagree. I think you can have a pretty good idea. Look, it's hard, but—
I genuinely don't want to be rude, but can you give me an example of where you think at the B you have had a clear understanding of a winner?
Rory O'Driscoll
Take code gen. There were a bunch of people doing it. There were 10 to 15 companies at the A or earlier. I think Cursor emerged, I think Windsurf emerged, and then, to a different extent, Cognition. By the B, it was obvious that those were the names.
But I would push back on you there and say that I don't think we know a winner.
I think Codex is making incredible ground. I think Claude Code is making incredible ground. Cursor is very good. But then, as you said, you've got Cognition, you've got Replit and Lovable kind of coming from the prosumer, less developer-centric side. I think that's still an entirely up-for-grabs market.
Jason Lemkin
I think, looking back—and nothing but kudos to the team, right?—when Windsurf sold, it wasn't clear it had a sustainable moat of any sort. It wasn't clear it truly had the staying power. It was a darling of a slightly more enterprise version of Cursor. People did love it, but ultimately it wasn't clear it was a winner then. It wasn't clear that brand was enduring. Looking back on it, it wasn't. We don't know if it would even have survived as a standalone company.
Rory O'Driscoll
I think that's true. But at the same time, what was clear over the past 6 months was that, if anyone was going to be the perceived company worth acquiring, there were only 2 or 3 names in that space, and the other 7 or 8 names that had been around weren't. So I understand what you're saying. The reason they took the deal is that it wasn't clear they could go from where they were to a billion in revenue and an IPO.
But my point is, going back, we're dealing with probabilities here. At the seed, you know nothing but the people. At the early A, when there's 5 or 6 of these companies doing $1 million, plus or minus, in revenue, all you know is you've got a 1-in-10 shot. Somewhere at the B, I think you get down to being able to say it's a 1-in-3 shot. It's still a 1-in-3 shot with a huge amount of variability, but the odds have narrowed.
Let's take— I mean, you guys keep talking about Lovable and Replit, right? You would say, implicit in what you're saying, that those are the 2 names. You implicitly said, "I don't know the space as well, but Bolt has shot its bolt," as it were—pun intended. That's a piece of information you have. When you're making a bet at this stage, you can probably say something like, "There's 2 clear winners here. Probably less likely to be another raw startup. There is adjacent competition from, you know, Wix has bought someone." So you at least—
I'm so sorry to interrupt you again. I would just say you need to expand it significantly. It's not 1 in 3. You've got Vercel and Claude Code eating their lunch coming down. You've got, as we mentioned, Replit and Bolt, but then you've got Salesforce, which has its competitor, and Atlassian has its competitor. Figma Make is doing very well. It's 1 in many.
Rory O'Driscoll
You're right about the adjacent competitors. Let's talk about that, because I always think there's a 2-step horse race in all these deals, right? And, by the way, I'm going to argue that what you just said is proof of success. Let me tell you what I mean by that. In any startup, you start off at day 1 and you're like, "There's 3 other startups doing just what we're doing—or maybe 10 other startups doing just what we're doing. I wonder which of us will win."
My experience is, when you go to the first board meeting where you suddenly realize you're scared of the big-company adjacent competition, it probably means you've graduated from the baby class. You're 1 of the 2 or 3 winners in the startup land, and now you've got to worry about the adjacent guy next door.
You might say you're not sure if your Lovable bet is going to be the winner yet, but do you believe that, within the class of venture bets on this space, you've got 1 of the 1 or 2 winners?
Yes, but that doesn't generate enterprise—
Rory O'Driscoll
Yeah, it does—
But that means shit. It doesn't matter if it's 1 of the venture bets. If 1 of the venture bets doesn't win and Salesforce or Atlassian or Canva does, I don't care.
Rory O'Driscoll
Obviously, you're correct, but you've got to think about it as incremental information updating your priors. When someone did the seed, they were like, "This is a good idea. It might not even work." Then you do the, "Oh my God, vibe coding is a thing. There's 5 companies doing it. We're 1 of the 5."
Now you can say, "Vibe coding is a thing. We're 1 of the 5 doing it, and we're 1 of the 2 winners." That's a huge amount of risk reduction. Now, you still have the other risk, which is that the big companies might do it. Something might disrupt you. There's a lot of risk still left, because it turns out that startups are risky.
But you've got to admit that there's been a massive amount of information gleaned and risk reduced, going back to what Jason said, from the 5-on-50 bet, where you don't even know if it's a space and you don't even know if you're going to be a viable player in it. Is that a better or worse risk than doing 2 billion pre when you know both those things? You are the winner. There is a space, you are the winner, and there's still a whole ton of competition to come, which is the Lovable bet you made. Which of those 2 bets are riskier? I don't know.
No, I think about this, which is, at about 4 to 5 million in revenue—it was done at 200 when we first did it, and then when it was about 80 to 100 in revenue, it was done at 2 billion. You can choose your entry price.
Rory O'Driscoll
Totally. What that says to me is that consensus, rightly or wrongly, has said there has been a massive risk reduction. And now, unfortunately, what's happened—and always happens in a bull market—is that valuation has expanded to fill the risk that was reduced operationally.
In other words, at 4 to 5 million, there's still a ton of risk. Fast-forward to when you're doing 50, 150 million, I just have to say it: You can't deny there's been a huge amount of operational risk reduced. Now, the problem is, at 2 billion pre, is there enough upside left in the deal? Separate question.
The point I'm making is it's gone from being, "Is this a category? Are they the winner?" to the third and last question, which is always, "Is the TAM big enough to support a $2 billion valuation?"
Which I think, in this case, it absolutely is. I just want to go back to the fact that we kind of know the winner at the B, and if we don't, and if that certainty has reduced or gotten less, are we overpaying? That was an interesting addition. My statement is, we dramatically know less, and that 1-in-3 has moved to 1 in 7 to 10 significantly across categories. In which case, surely the suggestion is we are dramatically overpaying.
Rory O'Driscoll
There's some level of truth in what you're saying, but I think the variance in these companies is a lot greater than in the 15 boring years of SaaS, where it's obvious and you know what to do for the next 10 or 15 years.
Jason and I would both say we both had a play—Jason as a leader and a founder, and me just as a humble investor—in an e-signature company. When we did those deals in 2008 and 2009, it was e-signature. Fast-forward 10 years, and it's still e-signature. That was a simple world.
We would both agree, I think, that there's way more change in this market in 1 year than in some of those older markets in 5 years. So you're right, there's more risk, Harry. But I still do believe all these investments are riskier than they were in SaaS land, and they're astonishingly priced higher.
I still think there is some significant risk reduction in going from a 1-in-5, 1-in-10, "Will it even work?" to a 1-in-3: "I know who the competitors are."
7. Diversifying Seed Bets
If that's the case, should our B portfolios be more diversified? Jason put it as a great question: Do seeds need to be diversified?
Jason Lemkin
Well, how big a fund do you do, right? Or if seed checks are 5 million, how big a seed fund do you need just to make the minimum diversification work? How big a seed fund do you need with a $5 million seed check?
Well, it depends if you think outcome sizes are expanding with the movement from technology to bank—
Jason Lemkin
Does it matter? It's just some basic math. How many first checks do you want to make—how many do you need to make in that fund for it to work? So if you traditionally needed 20 or 30 checks to work, but risk has gone up, to Harry's point, maybe you need 40. And then there's what reserves you need.
You might need a $500 million seed fund to have sufficient reserves, because I need to do 40 deals at 5 million now. That's 200 million. 200 million for reserves, that's 400 million. 100 million for fees and time and backup. I need at least 500 million for my little seed fund to make the math work.
What you're missing on the maths is, if you think that the outcomes are going to expand, you can have smaller ownership on entry, and so you don't need to increase check size if you assume you're going to have—
Jason Lemkin
4 million out of 50. Does it really matter? These are not massive owners. 1 million on 50 isn't going to work, Harry, in my seed fund, is it? It's not going to be enough ownership, is it?
David Frankel
I'd just try to disaggregate Harry's response, because there was something there. First of all, I agree with Jason's framing. Your response was interesting, because you could have said 1 of 2 things. You could have said, "You don't need to go from 20 deals to 40 because the winners are so much bigger that even if you have fewer winners, you're fine." That would have been 1.
But you didn't say that. Interestingly, you said, implicitly, "Go to 40, but just take less ownership." The mere fact that you made that answer says you are embracing a more diversified story in the face of risk, which is Math 101.
Rory O'Driscoll
Which is a super interesting concept, because we had it down on the agenda to talk about. Some folks are even pulling off these highly focused seed-stage bets, which I find awe-inspiring. All other things being equal, with the amount of variability you're seeing, I would've expected people's deal count to have to creep up slightly.
We had Roger on, who was very much a concentrated bettor. You have the Hummingbird story in Europe, which is astonishing and impressive. Everything in logic says to me that, with the increase in time to exit and the concomitant increase in risk, logically you should be increasing your diversification slightly, probably reasonably. Which probably means either smaller checks and more deals or a bigger fund size to maintain the same ownership.
Fabrice Grinda
Well, I think both work. One fund I'm an LP in has 100 to 150 positions with $100,000 to $150,000 checks. It's a 7X fund. It goes to my point about outcome sizes being so much bigger, and therefore the ability to have lower ownership. Jason, to your point, $1 million on $50 million does work if it's a $100 billion company, not the $3 billion to $5 billion enterprise outcomes that we've been playing with for the last 10 years.
Jason Lemkin
Yeah. It works even better if you own 10% of that company, though.
Rory O'Driscoll
Would you want that? Yes.
Jason Lemkin
The thing with the $100 million to $200 million fund is, I'm not that human. I don't want to meet 500 founders a year. To do 200 deals between your team, you have to meet 500, 600, 700 founders a year, even with your AI agent helping you. I can barely tolerate doing a couple of meetings a week. I can do stuff by email, but I have to carve out an hour for a deal I might not do? I want to blow my brains out after that meeting.
I sold my companies so I wouldn't have to do those meetings anymore, right? I'll do 1 a week.
I can tell you our partnership does 20 meetings per partner per week. With my 4 investing partners, we have 80 net-new companies that we meet in person per week.
Jason Lemkin
80 in person?
Fabrice Grinda
Yeah.
Rory O'Driscoll
Yeah.
Jason Lemkin
I would resign. I would give you all my carry back. Thank you for hiring me, Harry. I'm eternally part of the 20VC team. You make me do 20 in-person meetings? I sold my companies because I didn't want to spend my life in meetings. I'll do 1 a week.
You do the math. We'll do over 3,500 company meetings a year.
Jason Lemkin
Honestly, I think it's great for the LPs and others. I think that is a great playbook. It's just, not to get distracted, you have to match the strategy to who you are as an investor: where you get your leads, where you get your deals, what your brand is. You can do that for a variety of reasons, but it's a lot of meetings, man.
Fabrice Grinda
It's a lot of meetings, 100%.
Jason Lemkin
It's a lot of meetings. Can I get you guys a coffee or a drink? Do you want sparkling or still? Which one would you like? Do you have DVI on the Mac? Here, sit here. Harry's running late. Harry's doing the 20VC of sports. He's running a little late. He'll be here soon.
Rory O'Driscoll
No, I love taking meetings. That's how I learn. I'm a meeting junkie. My partners laugh at me. I'll take a meeting with anything, right? Because you can always learn something from it. So I have a bias to meet—in fact, probably an over-bias.
Jason Lemkin
Listen, when I meet a truly great founder—truly great—I always learn a lot. Don't get me wrong. Anyone below that, I don't think I learn enough to be worth the time.
I do my homework. Rory, you're the best homeworker on the team. You could do so much homework on an investment. Harry's the most prepared and the most charismatic, but Rory's the best homeworker, okay?
If they're not great, do you really learn anything in that meeting if you've spent an hour researching the company? I learn nothing. I read your deck, and then I say, "Send me more." Then I say, "Send me your last 5 investor updates." I say, "Send me your financials, and I'll research you on the internet."
Now we have AI. Claude will help me. I'm going to know a lot of stuff unless you're really great. If you're great, you're going to blow my mind, right? But if you're not, I'm going to start yawning about 15 minutes into this meeting.
Rory O'Driscoll
I don't know. I find sometimes you get an insight. I think—and I could be wrong—the beauty of doing this is you make me think, "Should I do things differently?" because you do it so differently.
I do find that even on an okay deal, you learn nuances about a specific market from the one-on-one and the dialogue back and forth that you wouldn't get from the presentation. Now, it does mean I have, as people who've pitched me know, a horrible interrupt-driven style whereby, if you have 20 slides, I'll be like, "We can skip 17 of them. These 3 I care about." It can be annoying at times.
I think in any business, no matter how much you think you know from the outside, the person inside living it every day has a crucial kernel of knowledge that you just can't access any other way, and I believe I get something from most meetings. It's a little like your knowledge of AI agents versus anyone using those words: it's step-function different.
Jason Lemkin
It is. But you have to meet me to learn that. If you meet all the other ones, it's a waste of your time.
Rory O'Driscoll
Yep. Agreed, but you have to meet them to get that experience. I buy into meetings. We've come a long way from fund construction, but that's okay.
Fabrice Grinda
Yeah. This is fantastic. This is what founders like. The number of founders who don't get to hear this, who actually wonder how VCs think, is in the hundreds of thousands.
Rory O'Driscoll
Yeah.
Jason Lemkin
Well, it's related to it. The question a lot of founders have is: How important is it just to get in the room? Just get my foot into the door. Just get the coffee meeting.
I think it varies. I think Rory's saying, "Listen, get in the room at scale"—there's some value to that. I'm saying, "I have no interest. Don't get in the door with me. Just send me a great deck and a great email. I will read it. I will slow down. I will spend time. If it looks good, I will take the meeting, but there's no need to get in the door with me."
There's no value in getting to know me over a coffee meeting. They're like, "Well, just take the meeting, Jason." I'm like, "Dude, I have so much respect for you, but there's a 0% chance I'm going to invest. Don't try to get the meeting. It's not going to help you."
Rory O'Driscoll
I think that's a fair comment. I don't think someone who's doing something I'm totally not going to do should get a meeting. I'm not a huge fan of coffee meetings. I'm like, "You're here to get money. I'm here to give money. Can we just talk about the business rather than a bunch of getting-to-know-you?" But I am always interested in hearing people talk about their business.
Jason Lemkin
That's why you're enduring in the business. That's why you're enduring: because you enjoy the meetings.
8. Running The Fundraising Process
Rory, how do you feel when you hear people say, "No, no, no. I'm not going to meet. I'm waiting to run a process, and I'll run a process on November 19th. I'll email you then"?
For me, I found this really abrasive. I'm just opening up here. I said to the founder, "Listen, if you're running a process, you're either optimizing for price or partner selection. I'm giving you a great price today, a price that you want—a price that you said you wanted—which means that you're not optimizing for price with this process, because I've given you what you said you want. You're just saying that you think you can get better than me.
"That may be the case, in which case, just tell me straight that you think you want Sequoia or Benchmark. There's no harm, no foul, but fine." And they're like, "No, no, no. I just want to run the process." How do you react to, "I want to run the process"?
Rory O'Driscoll
I think from their side they're correct. I don't have to like it, but I think from their side—because I see more failed financings because they didn't run a process than because they did.
You're basically saying, "Mr. Founder, you don't have to run a process because I'm going to give you a term sheet right now at a good price, and you like me. Let's do it." That's not an unreasonable offer.
But typically, what happens when people, quote, "don't run a process" is that someone comes in and says, "I'm really interested," and they share information serially with someone who's not yet ready to commit on the investor side. So they've run an accidental process. That's a mistake.
Jason Lemkin
But if I'm saying, "Mr. Founder, here's your term sheet. There's nothing to be done"—
Rory O'Driscoll
That's different. At that point, it's not crazy. If I was on the board of a company where that happened, I would take it seriously and think, "Should I hit the bid?"
Conversely, if I was on the board of a company where the founder said, "Hey, I'm meeting with Joe at a mega-firm. They asked if we could share some data. They're not—they just want to get a sense of it," I would shut that down and say, "You share with everyone or you share with no one."
Giving your data to 1 or 2 people when they're not in is just starting a process without meaning to start a process. If they don't move forward, you've had a failed process already without ever doing a process. I'm 100% certain that's a mistake.
Even though, on my side of the table, again, I don't love that, you're raising something, which is why a lot of times we wrestle as investors with—this is my aha—"I want to be able to do what Harry just said."
I wanna be able to come in and commit because it's the only way to get them off that process.” They have to have a good enough relationship with them, they wanna do business with you, and on top of that, you have to bid with probably sparse information.
My big aha on that is the only way you can conceivably do that. No amount of pre-work can do it because you don't know the actual information. If you've seen the prior round, it's probably your best chance because if you've seen the prior round, you have some sense of what's going on. You know what they underwrote, and you had a mental model at the last round. You can probably, in a dialogue, get 1 or 2 pieces of information, calibrate how they're doing, and maybe do that process.
Jason Lemkin
I have a slightly nuanced view in the middle, for what it's worth, just maybe for advice to folks that watch, not to Harry. But when that happens, as Harry said, I think it's a slight founder fail, a slight own goal. Not a total one, because obviously he's got a good company, right? Harry is, in essence, ready to do the deal now. The founder says, “I wanna run the process.”
What many of the best founders do—not all; there are all different types of founders: extroverts, introverts, great fundraisers—but what many of the best do is they're able to cultivate enough interest with enough good VCs that if they hit the number, they just send an email. They just send an email: “Harry, I'm thinking about raising a round before the end of the year.” Harry can say, “I'll give you a term sheet today.”
The right answer is, “I love you, Harry, especially love the one with Rory, but I'm not ready today. Honestly, I'm not ready today. I will be ready at the end of the year.” That is the perfect way to handle this situation. You don't risk losing Harry's term sheet. Founders do overplay their hand—not as often as you might think, but they do overplay their hand. They can say the wrong things.
The best founders, one way or another, build relationships over months. They copy them on their investor updates. They update them. Then 3 or 4 folks are just in when you're ready. It's so casual with so many founders. They're just in: “As long as the deal is reasonably fair, just tell me where to write the check and how much I can buy.”
I think the reason this happens—the Harry scenario—is so many seed investors and so many accelerators hammer into founders that you have to run a process. That is the classic top 3 bits of advice. I think it misses some nuance on the optimal way to run it. The optimal way to run it is for everyone already to want to invest for real, without games, before you open your data room.
The super-optimal way doesn't even require a data room. You don't even need a data room because they already wanna invest. They need diligence. The best-run processes—I know this might be slightly controversial out of context—don't require a data room. Not a traditional one. They only require a file that says “Box-diligence investment 12/21/25.” They don't need any other data room. It's just for diligence.
Rory O'Driscoll
I'm gonna rephrase that. I think what you're actually saying is the best-run processes don't feel like a process, but they are.
I think you're exactly right: if a founder is smartly nurturing relationships, keeping people broadly informed, but then tries to time the interest such that when he's ready to put his or her hand up, there are 3 people who are primed and ready to go, that is the best outcome, as they say. So it is a process, but it doesn't feel like one, and that is perfection itself. I agree with you.
Now, you have to have a very attractive and high-performing company to be able to do that, but—
Jason Lemkin
Maybe, but I also think those are the only ones getting funded in this environment. We talk about all the Gammas and the Schmamas, but everyone below that ain't getting funded anyway, so you might as well run this version of the process.
Rory O'Driscoll
Yes.
Jason Lemkin
Maybe Harry thinks a lot of B folks are getting funded today, but I ain't seeing it. It's the most binary fundraising environment in our lifetimes, isn't it?
Expand on that, Jason.
Jason Lemkin
You're either YC, Neo, or South Park Commons, you've got something, and you get funded, or who the hell's gonna find you in your pre-seed round, right? You better be whatever the hell AI-native is—I mean, we know what it means. You better be hot AI-native with top-quartile venture growth, or you ain't getting funded. It's pretty simple. There's not a lot of gray zone anymore.
But I do think even with that, you say YC, Neo, fine, but they have a huge number of companies per batch at YC. If you wanna stick to the religious “we're gonna run a process,” that does work only if you have stellar numbers. If you haven't built relationships before and you start on Monday the 19th, to expect that you're gonna come in, hit the ground running with first meetings on Monday the 19th, and get term sheets super freaking fast with average-to-middling numbers—
Jason Lemkin
No, of course. I was making an assumption in the story you told me, the anecdote of the term sheet, that it had top-decile venture numbers. The very fact that they were flippant, I assumed, implied it. Now, if they didn't—
Zero to $1 million ARR in 7 months?
Jason Lemkin
I would take that offer. I would sign the term sheet and send it right back, and ask if he wanted to meet at Selfridges over the holidays to see the Disney exhibit or something, like we're doing with our team trip. I would say, “Thank you, Harry.”
Rory O'Driscoll
Guys, I think you were saying the same thing. Jason's throwaway comment is worth pausing on: he was basically saying you should run this kind of—let's call it the light process—which is very FOMO-driven. I had said, “Hey, you can only do that if you're a good company.” His comment was, “Only the amazing ones are getting funded.”
So implicitly what he's saying is, if there's 100 companies and only 20 of them have these kinds of numbers, they should run that kind of process, and the other 80 are screwed no matter what, so he wouldn't even invest. So 100% of successful deals will be this kind of FOMO-driven, non-process process. That was the implicit statement in what you're saying, Jason, right?
Jason Lemkin
I mean, Harry's right. There's some untruth to it, but I think there's a lot of truth to it: we're in the Captain Obvious era of investing. It only takes 1 term sheet, so, to Harry's point, be careful. But I'm not seeing the non-obvious ones get funded. I just don't see it, right?
The most brutal one is, again, the classic SaaS company—triple, triple, double, double—which has been discussed ad nauseam on every 20VC channel, including 20VC Cricket and 20VC Sales. Those ones you could always find someone to fund if you met enough people back in the day. Now you can do better than that, and only 20% of people wanna take a meeting, and they still might not do it. I think every month that goes by, those deals are harder to do. Every podcast, everything makes them harder. Harry's disagreeing with me?
No, I'm 100% with you. We had a company that went from $400K to $3M ARR, a classic enterprise SaaS business. Bread-and-butter enterprise SaaS that would've had 5 term sheets from 5 good firms, 120 meetings, 1 term sheet, and it was a $10M round on a $40M post, 12X revenue for a 10X grower.
Jason Lemkin
But have you seen the market comps, Harry? Have you seen what the average public company is trading for? That's still a fine valuation.
Rory O'Driscoll
Yeah, but they're not growing 10X, as Harry's point. But the real truth implicitly in that is it's a combination of some element of it's just not fashionable, but also the implicit statement is that growth rate's going to attenuate.
I might have 2 or 3 years further on that same investment. We might have a company doing $25M in revenues; when we invested, it was doing $5M, but its growth rate's now down to 60%. It's still only burning $10M. But those are incredibly hard deals to get funded.
9. Datadog Captures AI Spend
Okay. We're gonna switch tack slightly, but I wanna discuss 2 kind of crazy results in the last few days: 1 good, 1 bad. Datadog absolutely freaking crushed. Stock up 23%, $15 million plus AI native customers. Wow. How do we think about Datadog?
Rory O'Driscoll
Jason has covered this so well last time. His basic comment was, even if you're not AI-first, co-attach to the AI trend and you'll be fine. These guys co-attached to the AI trend and they're fine. Sell shit to the people who are making AI, and if they grow, you'll sell more shit too. And they did it.
Jason Lemkin
No, no, it's true. The irony as we go into next year is that the AI leaders—the hyperscalers and the hyper-this and the hyper-that—they're starting to buy like classic B2B companies. In fact, they're recycling the same people in procurement and the same people in GTM, and they're buying the same stuff.
If you've attached to the AI budget and you're a Datadog, and you're in that, you're actually gonna have a great 2026 because these are normal B2B companies.
Like, OpenAI is buying like a normal company, buying like an Adobe or a Microsoft now. But if you're not in that, man, you're just dead, right? And the other one was Clio, which raised at $5 billion in legal tech.
It attached to AI in a different way. This is a company founded in 2008 that found its way in the AI era, right? It added fintech. Payments got up to $3 billion, now at $5 billion. So find your way, right? Datadog, it helps that Datadog, even though it got expensive, it was the darling, right? It was the darling product. But, man, they capture that revenue. Go find it.
Rory O'Driscoll
They did, because I'm gonna leave Clio out because I think it's just so different. I think Datadog is a core piece of compute infrastructure, and these hyperscalers are the most compute-intensive companies that have ever been known. So if you're selling compute stuff, you should be having, as Jason said, a great quarter.
If you're selling routers, if you're selling switches, if you're selling little interconnects, whatever it takes to stand up Stargate, and observability is a key part of that, you're gonna be golden because there's more compute than you've ever seen, which I think is a very different dynamic than some of the others.
Jason Lemkin
Fair, fair enough. If you're not attaching to that compute, something's off. If you're compute-adjacent, you better be growing quickly if you're compute-adjacent.
Rory O'Driscoll
Yes.
10. Duolingo Faces The AI Test
I'm a Duolingo shareholder, down 25%. Rory, you know, the age-old thing which I just love that you describe me with is, “That's great, but what about me?”
Rory O'Driscoll
Yes, Harry. Harry, that's you.
Duolingo plunges 25%. I'm going, “Why? What the fuck happened to make it plunge 25%?”
Rory O'Driscoll
I don't think there's a mega story here. They're still 80% up on their IPO 4 or 5 years ago. They had a period when it was, “Oh my God, AI's gonna kill them.” Then the CEO very wisely got ahead of that and said, “We're using AI,” so the stock got way ahead of itself.
And now it's like AI's not gonna kill you, nor is it gonna make you enormously rich. You just guide it down for next quarter slightly for business fundamental reasons, and the stock was overvalued and went down. I don't think there's a big story here. It's like the graph is still, as I say, up over 5 years. It's still significantly up on its lows. It just got ahead of itself. They had a good quarter. The revenue guidance was slightly less. Life goes on.
Jason Lemkin
I'd say it has the wrong kind of AI. And what I mean is, Duolingo is using AI to make its product better, right? Hooray. Every single portfolio company better be using AI by this point to make your product better. This is not 2023. You don't get any kudos for sprinkling AI dust on your product.
Going to Rory's point, what you get kudos for is attaching to that compute budget. That's the only kudos you get, and Duolingo didn't earn any.
Rory O'Driscoll
Well, they couldn't because, to be fair, as an apps investor, I'm gonna step up and defend the poor little apps companies, right? If you're an infrastructure company, you can co-attach to compute. If you're a new AI apps company, you are using that compute and using that AI.
If you are like Duolingo and a lot of our companies that have been around since pre-AI, I don't think you're gonna co-attach to the spend, but what you can do is co-adopt the technology. And I'm gonna give Duolingo credit. They've done a decent job of saying, “We're gonna be AI-forward, you're gonna be AI-leaning.”
But in the end, this is my zoom-out point: you're still selling a subscription product to help people, at a very modest level, learn another language. There's no AI compute to attach to there, Jason.
Jason Lemkin
Well, there is. They have to find a way. Listen, I'm not a total Duolingo expert, okay? But Duolingo took money from Berlitz and all these language schools and stuff online, right? Hooray, you did that. Now, where are you gonna disrupt humans? This is your job. You already disrupted those humans, unfortunately. They're gone, right? Where is the next level of human disruption?
Rory O'Driscoll
Zooming out, I will give you that. That is true. I do think the next generation of companies that are going to be, quote, teaching a foreign language will obviously be LLM-based, and there's a lot you can do. We've seen some of those companies, like what I call more professional, more interactive teaching using LLMs.
I do believe there's a whole ton to be done in terms of one-on-one instruction in language and a whole bunch of other things. And Duolingo should be getting on its skates to do more of that versus just using AI to obviate the need for humans, which is the thing the CEO got into a little bit of trouble for.
The real question is, can you build a more compelling set of products using AI to do more immersive learning? And I think it's companies like Speak and companies that we've talked to. I think there's a whole bunch to be done in AI-enabled learning, and it's actually a super interesting space, including language learning.
A really interesting question to ask for all investors, which is, if you are not removing humans from the equation, you are going to be heavily discounted.
Jason Lemkin
Rory's got a good point. You're either getting money from compute, right? This massive spend. Or you're getting money because you're using AI to replace humans. Otherwise, you're not gonna grow. Otherwise, hooray, congratulations on your 14% growth.
Where are you replacing humans for real? Whatever vertical, whatever industry, where are you gonna go in and reduce the head count that vendor needs by half?
Rory O'Driscoll
Most of the time, I'm in the camp that replacing humans is a story. Interestingly enough, in education, I actually think it's doing it better. I think the data, the stunning data, shows that if the human today is someone in a class with 20 people, there's a whole bunch of examples that say LLM learning is equivalent to one-on-one human learning, tutoring one-on-one.
Let me say it more positively. What you should be doing with AI in education is allowing everyone to get something they haven't had, which is one-on-one learning instead of group-based learning, because all the data says one-on-one-based learning constructed specifically to your needs is a far more efficient way of teaching anyone a foreign language, and frankly, most concepts.
Jason Lemkin
I admit I'm not a total expert in education, but where does the budget come from for that software? If it's not replacing humans, then you better steal it from a legacy incumbent. Which is fine, but Duolingo's a legacy platform now. You gotta steal it. You gotta steal or you end up Chegg. At least Harry didn't do Chegg.
I didn't do Chegg.
Jason Lemkin
No, what I mean is, listen. Okay, so let's say your AI does not replace humans or attach to compute. You have a third option. It's captain obvious. Your third option is to use AI to massively displace an incumbent and steal all their revenue.
In fact, that's the history of B2B software mostly, right? It's stealing the revenue. I just don't know how many of our public leaders are in a place to steal their own revenue, right? They're in a tough spot with it, with all their seats, right?
And we can fund those deals as investors, but I think the first 2 categories are much, much easier: attach to the compute or replace humans, rather than just steal. I mean, there's like 400 AI CRM startups out there all saying they're gonna eat HubSpot's and Salesforce's lunch. That's not exciting to me as an investment.
I mean, maybe you will, but that's much less exciting than truly replacing 90% of your GTM team, right?
It's almost like doing customer support to me.
Rory O'Driscoll
Jason, that was a really good framing. The fact that getting the new budget is just so much better than trying to slug it out with the existing provider and say, “Our new thing is better.” It's not to say you can't in those spaces—
Jason Lemkin
I'd have to think—education is an interesting market, right? It's large. But getting incremental budget has to be close to impossible. The public school district's not gonna come up with another $10 million for your software. It's impossible.
Rory O'Driscoll
It's not. Sadly, this is not a public school comment, right? But you're right. I think the positive-sum comment is, I think Duolingo is actually what I call light learning. You're learning another language, but you're just learning a few words.
I think a really interesting space we've seen with LLMs is replacing the spend that an adult wanting to learn a second language, typically for business purposes, would heretofore do with a one-on-one coach, right? So you're replacing that human coach with a very intensive, immersive LLM-enabled learning program, which is actually quite a compelling market.
But you're right: it's education, but you have to find an existing spend. And the existing spend is pretty niche, which is people who can afford to spend money on a one-on-one tutor to learn a foreign language. There's not a whole ton of budget, unfortunately, in K–12 to give every kid a one-on-one customized tutor.
I love the way Jason's just getting better and better with every show.
Rory O'Driscoll
Just get him out.
So could you...
Aren't you, Rory? We're like, “Geez, he was here for the entertainment, and now he's become so wise.”
Rory O'Driscoll
He's getting hard and mean.
He's so wise.
Jason Lemkin
No.
What is going on?
Jason Lemkin
I'm not mean; I just don't want to live in the past. Here's the thing. If you're in software today—B2B software—wherever you are in the org chart or as an investor, honestly, if this isn't the most exciting time of your lifetime, going back to Sarah's conversation, you're doing it wrong. It should be one of the most stressful times of your lifetime, and we've talked about this.
If you're not truly excited—truly excited—I mean, this is the first time software has gotten better since the 3 of us met. It hasn't gotten any better since all of us met. It's the same crap. So, if you're not incredibly excited, again, going back to the beginning of the Sequoia conversation, I would retire. Retire from your VC fund, retire from your company. No shame in that. You had a great run, right? Just put the rest into Nasdaq, and you're going to make more than most VC funds anyway, right?
Rory O'Driscoll
I think it's a great point because, as I think about it, the '90s were Unix and client-server, and the last 2 decades were effectively, I would say, Salesforce: We built Siebel in the cloud. It was fun, and we made a lot of money, but you're right, somewhat boring.
What's really exciting now is you're not just talking about, “We build Salesforce exactly the same, but with a slightly modern UI.” You are talking about something much more fundamental here in terms of eating the work and doing a lot more with the app. So, yes, it is exciting. But, looping right back to the first conversation about Sequoia, it is also clearly stressful for even the best of firms.
Boys, is there any other topic that we haven't covered that you think we should cover? I think one thing that wasn't on the schedule, and that I just think is incredible, is freaking Hummingbird. Hummingbird, the fund that does not get credit and is not talked about in the same way that many other great firms are, made their first biotech deal in BillionToOne. They have an $800 million position at the IPO. You want freaking great venture returns in whatever $150 million fund that is. Credit due. Amazing.
Rory O'Driscoll
Agreed. Good for them.
Jason Lemkin
It was obviously incredible to see all the success. What I would like to know—and maybe we're out of time, and I should have done my research—is how they collected the capital as a traditional seed manager to deploy enough to maintain the ownership. I'm just obsessed with ownership now. It took me a long time to be obsessed with it, and now I've given up. But I don't see how I'll ever own 18% of something at IPO ever again, right?
Rory O'Driscoll
I think they were fairly capital-efficient as a company.
Jason Lemkin
It could be that answer. It could be the Veeva of biotech, where they were one and done. I'm looking for that dream.
They definitely did put in subsequent checks, but I think it was a combination of doing subsequent checks, concentrating cash, and being a capital-efficient business.
Jason Lemkin
Yeah, I'm impressed with the deals they've gotten into. Maintaining the ownership with 9 figures of AUM—I don't know the exact numbers—that, to me, is just as S-tier, right? Figuring that out. Whether it's a bunch of side funds and SPVs and VPSs or VPNs, just how you do that is, I think, the elite game today. It's hard enough to get into the deals, but with a 9-figure or 8-figure fund, maintaining ownership is God-tier, I think.
Rory O'Driscoll
There's always the option of accepting—provided the follow-on rounds are at a high enough price—some dilution and optimizing, as you do, for multiple rather than ownership. You can say, “Look, I've established a 20% ownership as a seed fund.” I mean, those early funds those guys had were sub-$100 million. Okay, I'll get diluted from 20% to maybe 12% by the time we exit, but I've put in $4 million. I'm a hero.
Jason Lemkin
Yes, but this was a VC fund. I don't think they started with 20%, did they? But keep going.
Rory O'Driscoll
But fundamentally, the way they've been able to produce 8x and 10x funds has been in part by keeping them at $40 million, $60 million, or $100 million. It's hard to simultaneously keep your ownership and keep your multiple. You can decide which one you want to do. I mean, we talked last week: If you have Hummingbird, they've kept their multiple and gotten a 10x, 20x, whatever it is. If you talk about someone like Lightspeed, they've kept their ownership in the van and gotten a 5x, but on $250 million. You know, both of them are great outcomes. They're just different ways to play the game.
The interesting thing is that both of these different outcomes have great outcomes for the GP—the most important LP fact. If you only have $1 to play with, then obviously you want to do the one in the small fund that's going to give you the 10x, because if you have to deploy $100, then obviously you have to do the big fund. To some extent, the high-MOIC small fund—accept the follow-on dilution, but just make a marvelous return—is the compelling product for the marginal dollar.
I think the outcome sizes are also interesting: Nirvana at $4.5 billion, now public, and BillionToOne at $5 billion. The power of capital efficiency and, bluntly, running lean—you see the difference as an investor. The benefits of investing in capital-efficient businesses: obvious statement.
Jason Lemkin
Yeah.
Guys, I'm glad. It's nice to finish on a positive note, with a venture outlier that actually returns a huge amount of money to investors.
Jason Lemkin
Yeah.
How nice. Thank you so much for joining me. I'm glad that you both approve of my shirt. This isn't my favorite.
Jason Lemkin
I am struggling with it, but I approve of it. And listen, how long are the pants?
He's got pants on. He hasn't got shorts on.
Jason Lemkin
Well, they are jeans.
But let's not push too hard. At least he's covering his knees. We'll take it as a win. Fantastic. You guys are stars.