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@FinanceYF5: 1/ Two years ago, when Deedy joined Menlo Ventures, almost everyone said he made the wrong choice. Today, Stanford VC professor Ilya Strebulaev's latest research ranks Menlo #3 for 2026; #1 among VCs managing under $25B.

X AI KOLs Following ↗ · 2026-10-22 Cached

Stanford VC professor Ilya Strebulaev's latest research ranks Menlo Ventures #3 for 2026, as its investments in companies like Anthropic and OpenRouter have rapidly boosted its market reputation in just two years.

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After automation: Solo founding will be the default

Hacker News Top ↗ · 2026-10-21 Cached

AI-driven automation has cut the cost of building and shipping products, so solo founding is set to become the default — solo founders already make up 39% of new startups as of 2026 — and the main failure mode of startups will shift from cofounder conflict to founder loneliness.

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Blacksmith hits unicorn valuation after Sequoia leads Series C

TechCrunch AI ↗ · 2026-10-21 Cached

CI platform Blacksmith raised a $66 million Series C led by Sequoia at a $1 billion valuation, just two months after its Series B, as AI-generated code fuels demand for software build and validation tooling.

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OpenAI Invests in Startup That Uses Brain Implants to Detect Cancer

Wired ↗ · 2026-10-21 Cached

OpenAI's venture arm and Peter Thiel's Founders Fund are participating in a $45 million seed round for Coherence Neuro, a startup developing a brain implant that uses AI to detect and potentially treat brain tumors. The investment highlights growing Big Tech interest in brain data and brain-computer interfaces beyond paralysis treatment.

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@FinanceYF5: AI is rewriting a long-held startup rule: in the past, experience and age were key levers for success; now, the average age of AI unicorn founders is dropping fast. Facts from companies founded in 2020: on average, founders of the top 0.1% of startups were 45 years old. The success probability of 50-year-old founders is...

X AI KOLs Timeline ↗ · 2026-10-21 Cached

AI is rewriting the rules of entrepreneurship: the average age of AI unicorn founders has dropped from 40 in 2020 to 29 in 2024. AI startups reach unicorn status in an average of just 4.7 years, while in traditional industries, founder age continues to rise.

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Ex-Nvidia-turned-VC Amulya Vishwanath: ‘Physical AI is in its LEGO era’

TechCrunch AI ↗ · 2026-10-20 Cached

前Nvidia产品营销人员、Techable Ventures创始人Amulya Vishwanath在接受TechCrunch Equity采访时表示,物理AI目前仍处于‘LEGO时代’,基础模块正在被重新构建,尚未迎来机器人的‘ChatGPT时刻’。

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#venture-capital

@FinanceYF5: What self-iterations has a16z made in the AI era? Explained in 7 minutes — In October, a16z laid off most of its 34-person recruiting team; in September, it spent $35 million to launch a school that grants no diplomas; in June, its portfolio company SpaceX went public in a deal worth over $10 billion. Five iterations: services, money, incubation...

X AI KOLs Following ↗ · 2026-10-18 Cached

Five self-iterations by a16z in the AI era: cutting its recruiting team, launching a diploma-free school, and reaping a massive return from SpaceX's IPO — spanning services, capital, incubation, an academy, and media.

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@HarryStebbings: Why harnesses need to be neutral “You want to be able to switch models. The harness can be very tied to the model, or i…

X AI KOLs Following ↗ · 2026-10-17 Cached

Harry Stebbings shares a quote arguing that AI agent harnesses should be model-neutral to avoid lock-in, since the harness handles data, APIs, and memory. He also praises investor Miles Grimshaw's early bet on LangChain via Benchmark.

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Physical AI is more than robots, says the Nvidia veteran now investing in it

TechCrunch AI ↗ · 2026-10-16 Cached

TechCrunch Equity播客采访了曾在NVIDIA领导机器人平台产品营销七年、现创立Techable VC的Amulya Vishwanath,她认为物理AI不止于机器人,涵盖分子、材料、医药和工厂自动化,且机器人仍处于'Lego时代',尚未迎来'ChatGPT时刻'。

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A Nvidia insider-turned-VC on why robotics hasn’t hit its ChatGPT moment, yet

TechCrunch AI ↗ · 2026-10-16 Cached

前 NVIDIA 机器人平台产品营销负责人、现 Techable VC 创始合伙人 Amulya Vishwanath 在 TechCrunch Equity 播客中表示,机器人仍处于「乐高时代」,尚未迎来自己的 ChatGPT 时刻,基础模块和标准仍在重建中。

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@FinanceYF5: Greg Isenberg spent 48 hours in San Francisco, exchanging ideas with billionaires, data companies, and AI founders and …

X AI KOLs Following ↗ · 2026-10-16 Cached

Greg Isenberg shares 21 observations after spending 48 hours in San Francisco with billionaires, data companies, and AI founders, highlighting the explosive growth of the data business and data brokers selling company data to AI labs.

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@FinanceYF5: What does it take to build a “Scale AI in the robotics field”? Michelle Sun compared 9 large model and robotics data pr…

X AI KOLs Following ↗ · 2026-10-16 Cached

Michelle Sun 对比了 9 家大模型与机器人数据供应商的营收、毛利率、融资额和估值,探讨机器人数据业务能否达到大模型数据业务的利润率,以及复购与资本消耗问题。

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#venture-capital

@AI_Whisper_X: Greg Isenberg spent 48 hours in San Francisco and wrote down 21 observations 1、Selling data is lucrative: He heard many stories about data brokers selling corporate data to labs, making around $2 million a week. He can't tell whether this is the beginning or a bubble, and is researching which verticals are still open. 2、A soul-searching question: Someone at dinner asked "A new model ships next month — does your company get better or worse?" Half the people couldn't answer. He thinks it's the best question for evaluating AI startups right now. 3、Revenue without retention: The benchmark people talk about now is $1B in revenue within 12 months (the new unicorn standard), but almost nobody talks about retention. He predicts we'll see lots of AI companies with huge revenue and terrible retention. 4、It's clear we're in the middle of a reinvention of the computer. Models are the CPU, the harness is the operating system, skills and plugins are the apps. This framework makes it much easier to spot the gaps. 5、We may be just 12 months away from an agent that watches you work for a week and then takes over your job without any instructions. Screen recording + agent memory + local models — that combination is already possible today. (Creepy) 6、Agent harnesses feel like the new generation of GPT wrappers, but the good kind, especially vertical ones. The best teams he talked to treat models as interchangeable parts. One founder demoed how he routes different tasks to different models: one for aesthetics and visuals, a cheap one for routine grunt work, and another specialized in text. 7、He's never seen this much reverse engineering and cloning. People are decompiling software and rebuilding it with agents. Someone showed him a suite of about 10 apps, each modeled after an original worth over $5B, all open-source clones he built. Everyone is still trying to figure out what it means when software becomes this easy to copy. 8、His guess is value shifts to data. If software can be rebuilt quickly, the thing worth paying for in an old SaaS company is the customer data and workflows accumulated over years. Some SaaS companies are actually stealth data companies. 9、He feels a significant portion of legacy software won't survive into the agent era — especially the ones designed around "making humans click through a bunch of pages." 10、Every company he talked to wants to consolidate internal data in one place and expose it to agents via MCP. Then they look at the data and discover: a total mess. Five versions of the same customer, a pile of dead Slack channels, unsearchable PDFs. Cleaning all that up feels like a massive consulting opportunity! 11、Building-block companies will win: Many founders are working on the primitives agents need — APIs, data layers, and tools. Some companies have almost no UI at all because their primary user is the agent. 12、Labs aren't short on training data, but they can't get real examples of agents failing inside enterprise environments. Whoever has those logs has something valuable. 13、Someone building a large consumer product said the next battleground is memory. The model that remembers the most about you wins — being the smartest doesn't matter as much as people think. 14、Astra is the first model to make people believe AI can do CAD, and people are starting to wonder what "vibe manufacturing" looks like. A robotics founder said: the hardest problem in AI right now is deployment, not research. Their robots work on their own, call a human when stuck, and every call becomes training data. 15、Cybersecurity companies are having their moment — it's genuinely cool to be doing this now, especially post-incident cleanup. Every agent with access to your systems is a new door into your company, and many of those doors are wide open. 16、Dead is worth more than alive: A failed company's five years of Slack messages, emails, and code can be licensed for money. He wouldn't be surprised if founders factor that into their shutdown timing. 17、People are starting to talk about how the "agent internet" gets monetized. It feels very early, but when the most active users of the internet become agents, what kind of startup should you build? 18、Agent insurance is coming. Once agents make expensive mistakes, insurers will demand audits before writing policies. 19、Several people said the people they most want to hire are those with taste who can write evals. Models are getting better at generating ideas — the hard part is judging which ideas are good. 20、The new founder trajectory: Take VC money → use investors' money to make yourself an influencer → company fails → founder becomes a full-time influencer and bootstraps other products with their own money. 21、Traffic is brutally hard to get: Founders are sponsoring buses, going wild on billboards, and hiring famous DJs for parties — all just to be seen. It has that dot-com bubble smell. Attention is the truly scarce resource! The growth lead who went viral with a UGC strategy for Wispr Flow is a perfect example. This is the recipe everyone wants, and maybe 50 people in the world know how to scale this kind of business efficiently in this era. Every time he visits San Francisco, he comes back energized. He feels incredibly lucky to experience such an incredible journey at this golden moment for startups. Much of the time, it almost feels unreal. Great read! Sharing with everyone! (He noted these came from conversations with a group of billionaires, data lab people, AI founders, and executives)

X AI KOLs Timeline ↗ · 2026-10-15 Cached

Greg Isenberg shares 21 observations from 48 hours in San Francisco spent talking with billionaires, AI founders, and executives, covering data brokerage, agent harnesses, software cloning, model memory, cybersecurity, and the scarcity of attention as key AI startup trends.

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#venture-capital

TechCrunch Disrupt 2026: Day 2

TechCrunch AI ↗ · 2026-10-14 Cached

TechCrunch Disrupt 2026 Day 2 kicks off at San Francisco's Moscone West, featuring 300+ startups in the Expo Hall, live pitch showcases, and stage sessions on AI, robotics, AI hardware, public safety, and venture investment with speakers from Nvidia, Waabi, Flock Safety, and Benchmark.

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@garrytan: Be profitable and run your company with maximal agentic loops You don’t need to sell more of your co anymore $10M profi…

X AI KOLs Following ↗ · 2026-10-12 Cached

Y Combinator CEO Garry Tan argues startups should aim for profitability and leverage agentic AI loops instead of relying on venture funding, pushing back on complaints about the Series A/B funding crunch.

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@andrewchen: SPEEDRUN 008 APPLICATIONS NOW OPEN we are now taking intros/recos for founders we should be meeting for SR008 We have a…

X AI KOLs Timeline ↗ · 2026-10-12 Cached

a16z speedrun 宣布 SR008 申请开放,为新创始人提供最高 100 万美元投资及资本、客户和人才支持,2027 年 1 月在旧金山新办公室开始驻留项目。

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@FinanceYF5: 1/ The global robot capital might just be Silicon Valley. There are so many Physical AI companies here that even if you…

X AI KOLs Timeline ↗ · 2026-10-12 Cached

推文指出硅谷可能正在成为全球机器人之都,Physical AI 创业公司高度密集,顶尖人才、高校、连续创业者与资本汇聚于此,机器人创业版图正迅速展开。

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#venture-capital

@andrewchen: FINAL day to apply for the Speedrun Alpha fellowship https://speedrun.a16z.com/alpha For students / dropouts / recent g…

X AI KOLs Timeline ↗ · 2026-10-12 Cached

a16z speedrun 宣布 Speedrun Alpha fellowship 最后申请日,为学生、辍学者和应届毕业生提供最高 25 万美元投资、导师办公时间和旧金山办公场地,并为优秀工程师提供进入初创公司的快速通道。

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48 hours to TechCrunch Disrupt 2026 — hear directly from the people building what’s next

TechCrunch AI ↗ · 2026-10-11 Cached

TechCrunch Disrupt 2026 kicks off October 13-15 at San Francisco's Moscone West, featuring 250+ speakers, 200+ sessions, and 300+ startups including the Startup Battlefield 200. Speakers include leaders from Rivian, Anthropic, NVIDIA, Cerebras Systems, and Inspired Capital.

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@rohanpaul_ai: Agent swarms send most new token volume to cheaper models, so agent token counts will outrun frontier-model revenue. In…

X AI KOLs Timeline ↗ · 2026-10-11 Cached

Agent swarms are driving massive token volume toward cheaper models, and this 24x7 machine-driven usage is expected to break flat-rate and per-seat AI pricing in favor of metered billing, as agents burn nearly 5x the tokens humans do and usage is up 14x in six months.

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