π³οΈ If you could only hold ONE TLD for the next decade, which one?
A) .com β timeless classic
B) .ai β riding the AI wave
C) .web β the new kid on the block
D) .io β dev community fave
E) .xyz β Web3 native
F) Other (tell us below π)
With the new gTLD application window closing in 2 days, this question has never been more relevant.
https://t.co/M2zHulYT6Z β the name your AI docs deserve.
Launch an AI help center, support agent, or knowledge base on a domain that sells before you speak.
Lease it, donβt buy it.
#AI#startup#SaaS#docs
The next generation of startups will be built by smaller teams than ever before.
At Startup School 2026, YC's @garrytan explains why we're we're entering the era of personal AGI: AI agents that run on your own infrastructure, compound your knowledge over time, and dramatically increase your ability to build.
He shares the tools and workflows he uses every day, why every founder should own their intelligence instead of renting it, and what it means to build under your own power.
00:07 β What Founders Can Learn From Spinoza
04:46 β Personal AGI Is Already Here
07:57 β Why AI Makes One Person More Powerful Than Ever
12:29 β Your Life Is a Library
15:15 β Inside My Personal AI System
17:06 β Markdown Is Code
18:20 β Latent Space vs. Deterministic Code
21:13 β Building a Company of One
24:16 β How to Build Your Own Personal AGI
27:58 β Why Most People Will Quit Too Soon
29:09 β Own Your Skills Before Someone Else Does
32:24 β Personal AGI Means Owning Your Intelligence
35:21 β Why I Open Sourced Everything
38:30 β A Personal AGI for One Small Boy
40:18 β It's All Made Up. You Get to Make It Up.
Anthropic CEO Dario Amodei:
the models aren't waiting for you to catch up. "$1B company, one employee, 2026." not a prediction. a deadline
"software will cost 20 cents and take seconds to build. what's the role of developers then? we don't know the answer yet"
"the model one-shotted an incredibly difficult engineering task. no model had ever done anything like that"
"being in AI feels like a spaceship at relativistic speed. one day on your ship, two days on Earth. it keeps accelerating"
"just be ambitious. build something greater than you think is possible"
save this. then read the article below β
Philip Johnston (@PhilipJohnston) is the co-founder and CEO of @Starcloud_, the company building data centers in space.
In November 2025, Starcloud launched an Nvidia H100 GPU into orbit and trained the first large language model in space. They've since raised $200 million, hit a billion-dollar valuation just 17 months after YC demo day and filed with the FCC to deploy 88,000 more satellites.
In this episode of @LightconePod, Philip walks us through their wild origin story, the engineering challenges behind the Starcloud-1, why they booked a SpaceX launch before they even knew what they were building and how data centers in space make sense both economically and politically.
00:39 β Why Build Data Centers in Space?
01:40 β The Insight That Started Starcloud
04:43 β Launching Starcloud-1
09:45 β The Engineering Behind Data Centers in Orbit
13:49 β Why 100 VCs Said No
16:12 β Book the Launch Before You Build the Product
18:32 β The Roadmap to Commercial Space Compute
21:10 β Building NVIDIA GPUs for Space
23:41 β Raising $170M for a Hard Tech Startup
26:37 β Hiring the World's Best Space Engineers
31:25 β Why AI Compute Is Moving to Space
34:49 β Advice for Hard Tech Founders
Anthropic has been on a cloud partnership spree in recent months and its latest move is reportedly a $10 billion deal with AI cloud startup Volta.
https://t.co/3lvHFGnNPS
Congrats to @pablorpalafox, @PaarupLuis, @javipalafox, and @HappyRobot (S23) on their $150M Series C at a $1.2B valuation!
They build AI agents that run the phone calls, emails, and scheduling behind enterprise operations.
They proved the platform in logistics and are now expanding into insurance, energy, telecom, and airlines. Revenue has grown more than 5x since their Series B less than a year ago, and they now work with more than 150 enterprises including DHL, Uber, and Repsol.
https://t.co/neSdWfLsyD
Waymoβs first autonomous demo took eighteen months. The product took fifteen years.
Today the @Waymo Driver runs 500,000 trips a week β 4 million fully autonomous miles across 15 cities, with 17x fewer serious-injury crashes than human drivers.
At Startup School 2026, Waymo co-CEO @dmitri_dolgov shares the seven lessons behind that journey, from bridging the gap between a demo and a real product to building systems that can safely operate in the physical world.
00:07 β 7 Lessons From Building Waymo
02:21 β Why Physical AI Is Different
06:52 β The Gap Between a Demo and a Product
11:34 β Why Reliability Lives on an Exponential Curve
14:17 β Pick the Right Technology Curve
16:05 β Why Waymo Uses Cameras, LiDAR, and Radar
21:07 β Ride Every Technology Wave
24:43 β Inside the Waymo Foundation Model
30:09 β The Bitter Lesson Still Wins
36:41 β Why Every Physical AI Company Needs a Simulator
41:36 β Build an AI Flywheel
43:22 β Evals Are Your Competitive Advantage
46:09 β How Waymo Became 17x Safer Than Human Drivers
47:59 β The Next Decade of AI Will Be Physical
Your name is one of the most powerful marketing instruments a business will ever hold.
Not just the address of a page. Itβs a multi-level move toward your audience https://t.co/TKvIGf6O0B
.@Alexandr_Wang's advice to his 18-year-old self: develop your own internal compass for how the future will unfold, and hold conviction in it against the noise.
At Startup School 2026, the Scale AI (YC S16) founder β now leading @Metaβs Superintelligence Labs β talks with @garrytan about rebuilding a frontier lab from scratch, why talent density compounds, and how to spot the exponential worth betting your twenties on.
00:07 β How Alexandr Wang Started Scale AI
03:25 β Pivoting to the Right Idea
06:23 β Conviction Before Consensus
09:06 β Why This Is the Best Time to Start a Company
11:27 β What Personal Superintelligence Looks Like
13:10 β Building a Frontier AI Lab
16:36 β Why AI Models Need to Be Cheap
20:01 β Vision Will Matter More Than Intelligence
24:06 β Systems Thinking in the AI Era
26:51 β The Biggest Opportunity in AI Today
29:25 β Advice to My 18-Year-Old Self