Really great museum called the community heritage center in Clovis California.
@CVMDistrict
Have done an amazing job putting this thing together!
#history
#museum
@CVMDistrict
Have done an amazing job putting this thing together!
#history
#museum
0
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George Ohan retweeted
i reviewed 100+ yc applications in the last 2 days.
here's what founders keep getting wrong (my opinions might differ) :
1) starting small with no path to BIG
starting in a small market is fine, often better.
But investors will still ask "how big can this get?"
Show the steps from your first market to a huge one.
2. solving today's problem
everyone's already on it. build for what comes after that problem is solved, the thing that shows up in 2-3 years. being too early can hurt, but most of the time you want to be building for what's coming. (we're doing this at @cleanailabs too, releasing soon)
3) chasing users who only kind of like you
10 customers who LOVE you beat 50 who think you're fine. do things that don't scale to keep those first ones happy. just don't let one buyer write your roadmap.
That's how you turn into a service company.
Add a feature when lots of customers ask for it.
4. building something replaceable
if there are already tons of tools like yours, pick a niche no one owns. clean only works for infrastructure and insurance. once you're that specific, you'll see nobody has built for that niche yet.
you'll win that market faster and build a much better product for it. honestly, your product probably isn't the best one out there right now. a niche is how you win anyway.
W27 closes nov 2. comment what you're building and i'll review yours.
here's what founders keep getting wrong (my opinions might differ) :
1) starting small with no path to BIG
starting in a small market is fine, often better.
But investors will still ask "how big can this get?"
Show the steps from your first market to a huge one.
2. solving today's problem
everyone's already on it. build for what comes after that problem is solved, the thing that shows up in 2-3 years. being too early can hurt, but most of the time you want to be building for what's coming. (we're doing this at @cleanailabs too, releasing soon)
3) chasing users who only kind of like you
10 customers who LOVE you beat 50 who think you're fine. do things that don't scale to keep those first ones happy. just don't let one buyer write your roadmap.
That's how you turn into a service company.
Add a feature when lots of customers ask for it.
4. building something replaceable
if there are already tons of tools like yours, pick a niche no one owns. clean only works for infrastructure and insurance. once you're that specific, you'll see nobody has built for that niche yet.
you'll win that market faster and build a much better product for it. honestly, your product probably isn't the best one out there right now. a niche is how you win anyway.
W27 closes nov 2. comment what you're building and i'll review yours.
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George Ohan retweeted
HOLY SH*T, ELON MUSK PUT SPACEXAI'S BEST ENGINEERS ON A LIVE STREAM TO SHOW EXACTLY HOW TO BUILD A COMPANY WITH GROK BOTS
they start from an empty github org and zero bots. 72 hours, live.
how to use grok bot, from their demo:
step 1: make one bot per job, not one chat per he result you want, voice works too
step 3: set approval rules, e.g. ask me before sending any email
step 4: show it a task once on screen, it saves it as a skill
step 5: add a routine, e.g. every morning at 9 it sends you a summary
step 6: if it refuses or asks questions, teach it, it keeps that in memory
the parts worth watching:
11:29 - the first hires: which bots they pick
20:23 - building a bot from scratch with one voice prompt
22:54 - teaching a bot a task by doing it once
25:21 - setting up a 9 am routine
save this and study the article below, it has ready-made grok bot configs you can copy ↓
they start from an empty github org and zero bots. 72 hours, live.
how to use grok bot, from their demo:
step 1: make one bot per job, not one chat per he result you want, voice works too
step 3: set approval rules, e.g. ask me before sending any email
step 4: show it a task once on screen, it saves it as a skill
step 5: add a routine, e.g. every morning at 9 it sends you a summary
step 6: if it refuses or asks questions, teach it, it keeps that in memory
the parts worth watching:
11:29 - the first hires: which bots they pick
20:23 - building a bot from scratch with one voice prompt
22:54 - teaching a bot a task by doing it once
25:21 - setting up a 9 am routine
save this and study the article below, it has ready-made grok bot configs you can copy ↓
I put together one guide for anyone who wants a workflow like the SpaceXSI team's.
One message builds your whole Grok Bot setup. Plus the team's rules, prompt habits, routines and permissions. Every setup is a block you paste.
16-min read. Save it ↓ x.com/i/article/2112…
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This is why Georgiejobsapp is positioned to win!!
AI native everything.
The AI brain for blue-collar workers who work in teams of 1 to 3 people.
#GeorgeJobsApp
DMs open
AI native everything.
The AI brain for blue-collar workers who work in teams of 1 to 3 people.
#GeorgeJobsApp
DMs open
网景创始人 、硅谷顶级投资人Marc Andreessen 在访谈里坦言，他看到了科技史上最可怕的一道认知鸿沟，
传统巨头以为 AI 只是个降本增效的插件，而新一代 AI 原生团队，正在用完全非人的组织效率掀翻整个商业版图。
当年写出网景浏览器、见证了整个互联网三十年兴衰的 Marc Andreessen，坐在 Ben Horowitz 面前直接发出了感慨，
如果 1994 年我们做 Netscape 的时候就有今天这种 AI 工具，那简直不可想象。
现在绝大多数传统巨头和现有企业，依然在用改良软件的旧思维去看待大模型。
在他们的组织逻辑里，AI 只是一个高级功能，用来给现有业务做个插件、在钉钉里加个智能助手、或者把客服团队砍掉 20% 省点成本。
他们以为自己在拥抱变革，其实只是在给老旧的蒸汽机打补丁。
但真正恐怖的事情，正在那些刚成立的 AI 原生团队里发生。
那些创始人对 AI 能力的理解，跟大厂完全不在同一个平行宇宙。
他们每周都在看着底层技术飞速进化，而且他们压根不会把自己定义成一家软件公司、硬件公司、甚至是一家 AI 公司。
以前创办一家公司，你的组织架构是按人类的协同瓶颈搭出来的：
招产品经理写文档、招工程师写代码、招法务改合同、招运营做投放。
因为人类的脑力带宽有限，所以必须靠庞大的部门和管理层级来支撑业务。
而真正的 AI 原生物种，是用机器智能作为最底层的骨架。
两个人加上一整套自动化 Agent，可以直接把从市场洞察、软件工程、全栈设计到商业销售的链路全部跑通。
他们不是在效率上快了 30%，他们是在组织形态上彻底跨越了一个物种。
大厂的盲区，从来不是买不起算力，而是他们无法理解组织本身才是最大的负债。
当现有企业还在开会讨论如何把 AI 塞进现有的业务流程时，新一代的野蛮人正在用完全超越行业界限的方式，把传统的业务流程连根拔起。
未来拉开人与人、公司与公司之间差距的，根本不是你用了哪个模型，而是你到底是在用新工具维持旧世界的体面，还是用新世界的底层逻辑，重新定义了自己能做的事情。 x.com/AYi_AInotes/st…
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George Ohan retweeted
I’m starting a new early-stage AI fund, doing what I love: partnering with founders from company formation on bold bets, long before consensus.
The fund’s LPs will include Sequoia, Jeff Dean, Sachin Katti, Philip Wong (my Stanford professor and Chief Scientist adviser to TSMC), and others whose work has shaped our industry and how I think about AI’s future.
I’ll remain a partner at Sequoia and keep serving on my boards on Sequoia’s behalf.
Sequoia has been my home for the past 11 years. I joined as the youngest investor the firm had ever hired. I grew up here. Through years of intense debate and shared work, I found lifelong mentors and friends who took me under their wing and taught me this craft. They taught me to aim high and take big swings. I’ll carry that into what I build: outsized ambition, relentless truth-seeking and curiosity, and a refusal to become complacent.
Working alongside founders has made me want to build something of my own: a firm shaped from day one around the convictions I’ve developed over the past decade.
Life has taught me not to take time for granted. This is how I want to spend mine.
Why now
We’re seeing a new way of building companies in today’s AI era. Research and products often advance together. A breakthrough can open a market or accelerate a business far faster than expected. Some companies require extraordinary capital and compute early on. Others reach meaningful scale with remarkably small teams. The rules for how big these businesses can get, and how fast, are being rewritten.
But early on, the technology is unproven, the resources required enormous, and the vision seemingly implausible.
This is what I love most: seeing the potential right from the beginning, and helping founders realize their full scale of ambition.
More than ever, it starts with an extreme willingness to believe early, with bold, independent conviction in a founder’s technical insight before any product or market validation. Then, it means helping founders take the biggest swings, giving the rare, long-term patience to see those bets through uncertainty, ambiguity, and turbulence, and serving as a level head when the stakes are highest.
I learned this kind of partnership at Sequoia. It’s the foundation of the firm I’m building.
Believing before consensus
My fascination with AI’s potential took root at Stanford in the early-to-mid 2010s, studying computer science and working in Andrew Ng’s lab. The friendships I formed connected me to a community whose people and ideas would help shape modern AI and build some of our generation’s defining companies. What stayed with me was the gap between what those people saw was possible and what the wider world could imagine.
I’m drawn to founders pursuing ambitions that sound impossible today.
I start with a simple question: “What if everything goes right?”
Then we work backward together to make it happen.
In 2023, Deepak and Abhinav set out to build a general-purpose robot brain at @SkildAI, before physical AI was a consensus bet. Their sim-to-real breakthroughs gave me conviction where earlier robotics approaches had fallen short. But the data flywheel required deployment at scale. We made commercialization as urgent as research and brought in strategic partners like NVIDIA and SoftBank to support the ambition. Three years in, Skild is advancing the frontier of physical AI with nine figures in annualized revenue.
In 2024, Ioannis and Misha founded @reflection_ai with an insight into scaling reinforcement learning. As that grew into the ambition to build a Western frontier lab for open models, the hard question was how a startup competes with labs spending tens of billions. An introduction to NVIDIA and many compute calls and recruiting events later, the team has built Beam, now one of the leading US open models.
In 2025, Anna and Azalia, the co-creators of AlphaChip, founded @RicursiveAI to design models and hardware together. From day one, we made early customers and ecosystem partners a priority. Today, they are showing order-of-magnitude improvements on real workloads, working with some of the industry’s most consequential players, and reaching a defining inflection point.
The ambition keeps growing as these companies scale.
@linear has always had a kind of magic to it. Now it’s the system a new generation of AI companies builds on, for teams and agents alike.
@tavus saw early that we’d one day talk to AI the way we talk to each other. Today, it’s building the human computing interface for a world of AI colleagues.
@Mach_Industries began as hydrogen experiments in an MIT dorm room. It has since become one of the most exciting next-generation defense companies.
Making the ambition possible
Being a first believer is only the beginning. Compute falls through. A deep-pocketed incumbent makes your mission its top priority. A breakthrough changes the opportunity and the capital required overnight.
These are stomach-churning moments, and early belief carries a responsibility to help make the bet work.
This is the partnership I love: turning the full ambition into concrete steps. Raising capital, securing compute and strategic partners, recruiting exceptional people, and winning the first customers together. Thinking several moves ahead while solving what’s in front of us. And as breakthroughs open new possibilities, helping founders dream even bigger.
Thank you
To the founders I’ve worked with: thank you for trusting me and Sequoia to be your first partner and first believer. It’s been the joy of a lifetime, and I can’t wait to keep building together.
Thank you to Alfred and Pat for your leadership of Sequoia and your support of my next chapter. To Roelof, for bringing me into Sequoia and believing in me from the beginning. Alfred and Roelof, you have been mentors in investing and in life. So much of what I know, and the investor I’ve become, comes from your guidance and generosity over the years. To Bill, for the close partnership and wealth of knowledge, always wrapped in humility. To Shaun, for showing me how to think deeply and imaginatively. To Michael Moritz, for inspiring 22-year-old me to dream big. To Doug, for teaching me to keep things simple. To Bogie and Jess, for bringing joy to the everyday and perspective on what matters. And to all my Sequoia teammates, for the friendship, camaraderie, and lessons I’ll carry with me.
To my family, especially my husband and my brother, who have each started companies of their own: thank you for giving me the courage to take this leap.
Let’s get to work!
The fund’s LPs will include Sequoia, Jeff Dean, Sachin Katti, Philip Wong (my Stanford professor and Chief Scientist adviser to TSMC), and others whose work has shaped our industry and how I think about AI’s future.
I’ll remain a partner at Sequoia and keep serving on my boards on Sequoia’s behalf.
Sequoia has been my home for the past 11 years. I joined as the youngest investor the firm had ever hired. I grew up here. Through years of intense debate and shared work, I found lifelong mentors and friends who took me under their wing and taught me this craft. They taught me to aim high and take big swings. I’ll carry that into what I build: outsized ambition, relentless truth-seeking and curiosity, and a refusal to become complacent.
Working alongside founders has made me want to build something of my own: a firm shaped from day one around the convictions I’ve developed over the past decade.
Life has taught me not to take time for granted. This is how I want to spend mine.
Why now
We’re seeing a new way of building companies in today’s AI era. Research and products often advance together. A breakthrough can open a market or accelerate a business far faster than expected. Some companies require extraordinary capital and compute early on. Others reach meaningful scale with remarkably small teams. The rules for how big these businesses can get, and how fast, are being rewritten.
But early on, the technology is unproven, the resources required enormous, and the vision seemingly implausible.
This is what I love most: seeing the potential right from the beginning, and helping founders realize their full scale of ambition.
More than ever, it starts with an extreme willingness to believe early, with bold, independent conviction in a founder’s technical insight before any product or market validation. Then, it means helping founders take the biggest swings, giving the rare, long-term patience to see those bets through uncertainty, ambiguity, and turbulence, and serving as a level head when the stakes are highest.
I learned this kind of partnership at Sequoia. It’s the foundation of the firm I’m building.
Believing before consensus
My fascination with AI’s potential took root at Stanford in the early-to-mid 2010s, studying computer science and working in Andrew Ng’s lab. The friendships I formed connected me to a community whose people and ideas would help shape modern AI and build some of our generation’s defining companies. What stayed with me was the gap between what those people saw was possible and what the wider world could imagine.
I’m drawn to founders pursuing ambitions that sound impossible today.
I start with a simple question: “What if everything goes right?”
Then we work backward together to make it happen.
In 2023, Deepak and Abhinav set out to build a general-purpose robot brain at @SkildAI, before physical AI was a consensus bet. Their sim-to-real breakthroughs gave me conviction where earlier robotics approaches had fallen short. But the data flywheel required deployment at scale. We made commercialization as urgent as research and brought in strategic partners like NVIDIA and SoftBank to support the ambition. Three years in, Skild is advancing the frontier of physical AI with nine figures in annualized revenue.
In 2024, Ioannis and Misha founded @reflection_ai with an insight into scaling reinforcement learning. As that grew into the ambition to build a Western frontier lab for open models, the hard question was how a startup competes with labs spending tens of billions. An introduction to NVIDIA and many compute calls and recruiting events later, the team has built Beam, now one of the leading US open models.
In 2025, Anna and Azalia, the co-creators of AlphaChip, founded @RicursiveAI to design models and hardware together. From day one, we made early customers and ecosystem partners a priority. Today, they are showing order-of-magnitude improvements on real workloads, working with some of the industry’s most consequential players, and reaching a defining inflection point.
The ambition keeps growing as these companies scale.
@linear has always had a kind of magic to it. Now it’s the system a new generation of AI companies builds on, for teams and agents alike.
@tavus saw early that we’d one day talk to AI the way we talk to each other. Today, it’s building the human computing interface for a world of AI colleagues.
@Mach_Industries began as hydrogen experiments in an MIT dorm room. It has since become one of the most exciting next-generation defense companies.
Making the ambition possible
Being a first believer is only the beginning. Compute falls through. A deep-pocketed incumbent makes your mission its top priority. A breakthrough changes the opportunity and the capital required overnight.
These are stomach-churning moments, and early belief carries a responsibility to help make the bet work.
This is the partnership I love: turning the full ambition into concrete steps. Raising capital, securing compute and strategic partners, recruiting exceptional people, and winning the first customers together. Thinking several moves ahead while solving what’s in front of us. And as breakthroughs open new possibilities, helping founders dream even bigger.
Thank you
To the founders I’ve worked with: thank you for trusting me and Sequoia to be your first partner and first believer. It’s been the joy of a lifetime, and I can’t wait to keep building together.
Thank you to Alfred and Pat for your leadership of Sequoia and your support of my next chapter. To Roelof, for bringing me into Sequoia and believing in me from the beginning. Alfred and Roelof, you have been mentors in investing and in life. So much of what I know, and the investor I’ve become, comes from your guidance and generosity over the years. To Bill, for the close partnership and wealth of knowledge, always wrapped in humility. To Shaun, for showing me how to think deeply and imaginatively. To Michael Moritz, for inspiring 22-year-old me to dream big. To Doug, for teaching me to keep things simple. To Bogie and Jess, for bringing joy to the everyday and perspective on what matters. And to all my Sequoia teammates, for the friendship, camaraderie, and lessons I’ll carry with me.
To my family, especially my husband and my brother, who have each started companies of their own: thank you for giving me the courage to take this leap.
Let’s get to work!
431
105
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362,807
George Ohan retweeted
Connie Chan is a regressive and terrible bureaucrat who wants rents to be $10,000 per month in SF
Anti tech, anti housing, anti prosperity, pro grift, pro crime
That the Pelosi machine threw their weight behind her and Gary McCoy is a disgraceful joke
Anti tech, anti housing, anti prosperity, pro grift, pro crime
That the Pelosi machine threw their weight behind her and Gary McCoy is a disgraceful joke
It could not be more stark, according to the data. You could have the hardest-working, most prodigious Congressional representative or the most obstructive.
“Based on 84 votes she cast on land use since she joined the board in 2021, Chan was second only to former Board President Aaron Peskin in amassing a record consistently opposed to liberalizing housing regulation.”
“From Wiener’s first session in the state Senate in 2017-2018 through the 2025-2026 session, he authored the most bills of any legislator in the chamber, at 186. Of those bills, 97 passed and were signed by the governor — the second-most over that period.”
sfchronicle.com/politics/artic…
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However, rather than being guided and constrained by a liberal constitution, the Israeli state has been guided by an ideology—Zionism—that has become progressively “more bloody-minded, more paranoid, more violent, and eventually ever more racist.
apple.news/ATn-QGEMhMhSjr…
#nogenocide #genocide
apple.news/ATn-QGEMhMhSjr…
#nogenocide #genocide
0
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George Ohan retweeted
@Fresno_Famous you are so right. thank you again. yes who knows! im trying my best...
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George Ohan retweeted
@Fresno_Famous yeah, plenty of software engineers vibe code too. the two aren't mutually exclusive
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George Ohan retweeted
Today Monaco is launching Agent Matrix.
Monaco unleashes countless agents working together, goal seeking, with one outcome in mind: accelerate revenue growth.
If you don’t have an army of agents working 24/7 to accelerate revenue growth, you’re living in the past.
Apply for early access now.
Monaco unleashes countless agents working together, goal seeking, with one outcome in mind: accelerate revenue growth.
If you don’t have an army of agents working 24/7 to accelerate revenue growth, you’re living in the past.
Apply for early access now.
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George Ohan retweeted
Jensen Huang got asked if he would rather be 20 today or relive his own 20s. He picked his own 20s.
His reason: "There's a superpower in ignorance. NVIDIA would not be possible today if not for the fact that I was ignorant to the fact that it's impossible to build NVIDIA."
That over the founding story
▫️ Jensen, Chris Malachowsky and Curtis Priem planned the company in a Denny's booth on Berryessa Road in East San Jose
▫️ Jensen was 30 when Nvidia was incorporated in April 1993, with $40,000 in the bank
▫️ The first chip, the NV1, bet on quadrilaterals while competitors used triangles, and it failed to gain traction
▫️ The unofficial company motto became "Our company is thirty days from going out of business"
Jensen has said building @nvidia turned out to be "a million times harder" than the founders expected.
His advice for a generation that sees too much: "build up some internal reserve of optimism."
x.com/rdominguezibar…
His reason: "There's a superpower in ignorance. NVIDIA would not be possible today if not for the fact that I was ignorant to the fact that it's impossible to build NVIDIA."
That over the founding story
▫️ Jensen, Chris Malachowsky and Curtis Priem planned the company in a Denny's booth on Berryessa Road in East San Jose
▫️ Jensen was 30 when Nvidia was incorporated in April 1993, with $40,000 in the bank
▫️ The first chip, the NV1, bet on quadrilaterals while competitors used triangles, and it failed to gain traction
▫️ The unofficial company motto became "Our company is thirty days from going out of business"
Jensen has said building @nvidia turned out to be "a million times harder" than the founders expected.
His advice for a generation that sees too much: "build up some internal reserve of optimism."
x.com/rdominguezibar…
Jensen Huang on what insanely hard work looks like:
▫️ 5am start, working at once
▫️ asleep by 9:30pm
A firm frame around the day holds everything else in place
Structure first
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George Ohan retweeted
One of the best businesses to start with Gemini 4 Argon is vibe manufacturing.
AI makes the STL file. A 3D printer makes the product. The customer customizes it before they pay.
On r/Espresso, people spend $2,500 on espresso machines. They pay $49 for a custom portafilter etup:
1) Pick the niche. Espresso gear. Snowboards. A topic that you know better than other people.
2) Tell Argon to build a product customizer for Shopify. The customer selects a size and a color. A live 3D preview shows the product.
3) Put the widget in your store. The customer pays on Shopify.
4) Check the print file. Test the size limits.
5) Print and ship. One Bambu printer makes 4 units in 8 hours. For more orders, send the STL file to a print-on-demand API.
6) Then sell the widget as a service to other Shopify stores. Your margin can be 40% to 70%. Split it with the store owner.
Argon did step 2 with one prompt. Step 1 is your work. You must find an idea that your audience wants.
When people customize a product, they feel more attachment to it.
For a brand, that product stays on the customer’s desk. They see it every day.
And frontier models streamlined the build proces. Argon made the wireframe, the layers, and the CAD model. Then it exported the STL file. Few people do physical AI now, and there are millions of Shopify stores.
Pick the niche, have Argon build the widget, then print the orders.
AI makes the STL file. A 3D printer makes the product. The customer customizes it before they pay.
On r/Espresso, people spend $2,500 on espresso machines. They pay $49 for a custom portafilter etup:
1) Pick the niche. Espresso gear. Snowboards. A topic that you know better than other people.
2) Tell Argon to build a product customizer for Shopify. The customer selects a size and a color. A live 3D preview shows the product.
3) Put the widget in your store. The customer pays on Shopify.
4) Check the print file. Test the size limits.
5) Print and ship. One Bambu printer makes 4 units in 8 hours. For more orders, send the STL file to a print-on-demand API.
6) Then sell the widget as a service to other Shopify stores. Your margin can be 40% to 70%. Split it with the store owner.
Argon did step 2 with one prompt. Step 1 is your work. You must find an idea that your audience wants.
When people customize a product, they feel more attachment to it.
For a brand, that product stays on the customer’s desk. They see it every day.
And frontier models streamlined the build proces. Argon made the wireframe, the layers, and the CAD model. Then it exported the STL file. Few people do physical AI now, and there are millions of Shopify stores.
Pick the niche, have Argon build the widget, then print the orders.
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George Ohan retweeted
A lot of new faces here, so a quick intro.
I'm Magnus, founder and CEO of Antler.
We've made 2,000+ investments, from Airalo to Lovable, backing the world's best founders from inception.
Founders, pitch me in one line. I'll read every reply and DM the best ones 👇
I'm Magnus, founder and CEO of Antler.
We've made 2,000+ investments, from Airalo to Lovable, backing the world's best founders from inception.
Founders, pitch me in one line. I'll read every reply and DM the best ones 👇
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George Ohan retweeted
This is the best place to build hardware 🌎
Robotic arms, actuators, flying cars, autonomous CNCs, and more...
Last Friday, we invited investors onto our campus to see what these 30 new teams have been building.
DM us if you want an invite to the next one.
Robotic arms, actuators, flying cars, autonomous CNCs, and more...
Last Friday, we invited investors onto our campus to see what these 30 new teams have been building.
DM us if you want an invite to the next one.
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This is the type of VC that #GeorgieJobsApp needs!!
She will get it.
Building a product for blue-collar workers who want to bring calm to the chaotic mess of balancing work and personal life.
#MariaDavidson
She will get it.
Building a product for blue-collar workers who want to bring calm to the chaotic mess of balancing work and personal life.
#MariaDavidson
I'm excited to launch Relational Capital, a $50m solo GP fund.
I spent the last 8 years as a founder, building @usekojo into the largest US construction procurement platform.
Now I'm backing founders at the earliest stages with $1m-$5m checks.
An abundant future lies ahead 🇺🇸
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George Ohan retweeted
Thanks for having me @MTSlive.
There’s a huge gap between frontier model capabilities and how little benefit most people see from AI.
A lot of underserved sectors and massive opportunity.
We’re still so early.
There’s a huge gap between frontier model capabilities and how little benefit most people see from AI.
A lot of underserved sectors and massive opportunity.
We’re still so early.
Relational Capital founder @MariaDavidson explains why the gap between frontier AI labs and construction sites is creating a massive opportunity for startups:
"The most important thing to me is always the founder. Do they have a unique insight that other people don’t have about market, about the way to win. Building a company has never been easier, and so it is actually so much more competitive than it was even 10 years ago."
"One of the areas that I love is investing in these really gritty, operationally heavy industries. As I look at SF and the insane progress we’re making on the frontier lab side, and then I think about my experience of spending a lot of the last eight years on job sites, the gap between those two is huge."
"Closing that diffusion gap requires an enormous amount of new companies to really be operationally excellent."
@RelationalCap
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George Ohan retweeted
@Fresno_Famous @Replit Hope you come visit again! As a civilian haha Korea is sooo different from back then :)
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George Ohan retweeted
buy me a $3 coffee and send me what you’re building.
i’ll tell you my first impression + one thing i’d improve. honest, specific, no “looks great bro.”
trying this with 5 people ☕
buymeacoffee.com/thecatzeus3
i’ll tell you my first impression + one thing i’d improve. honest, specific, no “looks great bro.”
trying this with 5 people ☕
buymeacoffee.com/thecatzeus3
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