jesus is king. i push buttons, things unbreak. fde @daytonaio
San Francisco Bay Area
Joined April 2025
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if you truly believe your company has the potential to have a multi-billion dollar valuation your work should reflect that
if we ran 7x7 we'd absolutely mog all the other sandbox companies in the space. no one has multiple 6'5 guards.
COMPUTE is back!
Join us for the second edition of Daytona COMPUTE, February 3–4, 2027, at the iconic Chase Center in San Francisco! 🏀
AI infrastructure starts here.
Early Bird tickets are now available: luma.com/daytona-compute
dalin stone retweeted
🖤 Daytona Black Tie Party in San Francisco!
An unforgettable evening celebrating our Series B round in style!
Huge thanks to everyone who joined us for this exclusive night yesterday, dressed to impress, and made the celebration truly special.
What a night! 🥂✨
daytona tours coming to a city near you soon
East Coast last week, that was a good one 🏁
A few cities, a lot of builders, and some incredible conversations.
Thanks to everyone who made it happen.
Where should we bring @daytonaio next?
the last 48 hours is adult zoomers reliving the time when the random hacker group would ddos your favorite game as a kid and you couldnt play it for a few hours
for everything that's happened this year @Railway has done great. and b2c is brutal. hope the team gets some sleep soon 💜
An urgent notice from the Railway team
blog.railway.com/p/security-…
big number go up 🚀
We went from #21 to #4 between summer and fall on @brexHQ's top 25 fastest-growing software vendors!
@daytonaio keeps winning 🔥
Sandboxes, like everything else, is a primitive among many that agents will need. The agent cloud is being built on Daytona. This is the first of many growth events over the next year. Stay tuned!
We just raised a $60M Series B at a $1B valuation to build @daytonaio into the Agent Cloud.
@FirstMarkCap led the round, with all key existing investors and angels doubling down.
We're also thrilled to welcome the founders of some generational companies aboard, including @patrickc (Stripe), @tobi (Shopify), @AravSrinivas (Perplexity), @BrendanFoody (Mercor), @oliveur (Datadog), @adamdangelo (Quora) and @ericsyuan (Zoom)
We're a 35-person team. But that's about to change; we're hiring across the board, and we'd love for you to join us.
why are we acting like we all aren't deconsturcting hyperscalers from first principles and optimizing for agents?? everyone has chronic info psychosis
dalin stone retweeted
Box CEO @levie explains why billions of personal AI agents would require staggering amounts of compute, yet agent swarms could push demand 100-1,000x higher:
"I quote tweeted the CEO of Daytona about the math on every personal agent that Muse creates. Each user of Muse essentially is running a computer in the cloud. Imagine billions of users of these personal agents."
"Imagine billions of users of these personal agents, the amount of compute infrastructure that we’re gonna need. And that’s just one of the many, many use cases we’re starting to see."
"The really, really big use case is actually gonna be on the agent swarms and all of the work that those agents are gonna do."
"That’s gonna be an incredible amount of compute that is probably 100 or 1,000X more than what we’re currently consuming in AI at the moment."
@Box
.@auchenberg calculated that Muse needs 65,000 CPUs and 75PB of DRAM to serve 100 million users. That's $2.8B in infra for one app.
It made me think. Facebook alone has over 3 billion users. That's nearly 300x scale for one platform. And they have more platforms with similar numbers.
Just do the math. There aren't enough CPUs in the world to run all of this. A worrisome constraint we're heading toward.
if nothing else, move to SF just to be around wealth. you quickly realize that everything that has ever been said is true.
the only thing successful people have in common is always trying. shots on goal. consistency. quantity. there is no magic trick.
dalin stone retweeted
Today, we're launching Sazabi version 1.0.
The reality of shipping software as a team in the age of AI is actually crazy.
Agents merging their own PRs. Hundreds of deployments per day. A codebase that is constantly changing. Junior developers with 10x or 100x leverage. 😵💫
I spent the last year building a safety harness for teams that ship with AI. It's called @sazabi.
The premise is simple:
1. You send us logs.
2. We detect anomalies, investigate them, and send you back rich, actionable alerts about real problems in your app.
Sazabi helps you find issues before your users notice.
No monitors or noisy alerts. Just pure signal.
And today we're making it available for anyone to use.