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Ivan Burazin
@ivanburazin
building @daytonaio
1.6K Following    18.8K Followers
The size of vms/sandboxes for agents is only going to get larger, not smaller. Contrary to what most people think.
The specs of Muse VM users get: - 2 vCPUs (a slice of a 126-core AMD EPYC) - 8GB RAM - 100GB persistent disk - Ubuntu 24.04
Packed @daytonaio Premier HackSprint in Seoul this Saturday! 🇰🇷 Huge thanks to everyone who showed up, built, and made it such an incredible event, and to our event partners, @theaibuilders & @dnsimple, for making it possible. Our events journey continues this week: Paris → London → Amsterdam → San Francisco → San Jose. See you there! 🚀
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The agent cloud is not yet something people understand
WHO GETS PAID IN THE AI CLOUD STACK AI clouds are becoming the middle layer between scarce AI infrastructure and companies that actually need compute: Who supplies the AI clouds • $NVDA sits at center of compute layer by supplying the GPUs that determine how much capacity these platforms can actually bring online. • $MU & $SKHY supply HBM required to keep those GPUs fed as model sizes and inference workloads continue scaling • $DLR, $EQIX, $CORZ & $APLD provide physical data center infrastructure underneath the cloud layer giving AI clouds another path to scale without owning every building themselves. Who turns that infrastructure into compute • $CRWV, $NBIS & $IREN sit directly in middle of the stack by combining GPUs, power, networking and software into usable AI compute that customers can rent. Who buys the compute • $MSFT, $META & $GOOGL are unique because they are both customers and competitors by renting external capacity when internal supply is constrained while continuing to build their own • $SHOP & $CRWD show where next leg can come from as enterprise demand broadens customer base beyond a handful of hyperscalers and AI labs. • OpenAI & Anthropic represent AI lab customer base where demand can scale really quickly as training and inference requirements grow.
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Damn. We’re beyond top quartile 😎
If you are feeling inadequate then don't look at the latest ICONIQ report...
Two out of five times when I need wifi and tether my phone, it just doesn't work. I have to connect a fucking cable. It has already happened 3 times this week.
Multiples don't price where you are. They price how fast you're getting there. Double your revenue in a month and your valuation more than doubles; the speed re-rates the multiple itself. But if you used to double in a month and now it takes six, doubling again might only get you 1.5x. Revenue grew, but the multiple compressed. People look at the multiple and miss the velocity underneath it.
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We did research on whether full sandbox snapshots actually help coding agents recover from failed long-horizon tasks. > The surprising result was that on Terminal-Bench, retrying from scratch often worked better. > However, snapshots became much more interesting when progress lived outside Git, like databases and running services.
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AWS is static infrastructure. You deploy a product. It stays what it is. You don't want the Uber app randomly changing on you. Something like @daytonaio is dynamic infra. The agent is doing things, figuring things out, breaking things, changing state constantly. The machine itself can grow CPU and RAM on the fly and shrink back down. There are two axes of dynamic: the workload and the machine running it. Completely different primitive. It took hearing @friedberg talk about "static vs dynamic" on @theallinpod for me to realize I'd never framed it that way.
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Doing just a few events this month 😃
Next week is going to be a crazy one for @daytonaio. 🌍 We’re everywhere (as usual 😃): 🇫🇷 Paris — Sept 21 Co-hosting AI Builders with @neo4j, @MistralAI & @sgl_project — @ivanda_mislav presenting 🇬🇧 London — Sept 21 Presenting at Agent Night London by @WorkOS & partners — @tomapuljak 🇺🇸 SF — Sept 22 Hosting an AI GTM Breakfast with @zeroclick at @UseCorgi Cafe 🇫🇷 Paris — Sept 23–24 Our team is at @aiDotEngineer Paris. Come find us at the booth. 🇺🇸 San Jose — Sept 23 Hosting AI Builders with @SambaNovaAI & @youdotcom — @muhashmii presenting 🇺🇸 San Jose — Sept 24–25 Our team is at @WeAreDevs North America. Come find us at the booth. 🇬🇧 London — Sept 25 Partnering for Build Fridays London. And our co-founder & CEO @ivanburazin is speaking twice: 🎤 @HumanXCo Amsterdam — Sept 24 🎤 @WeAreDevs San Jose — Sept 25 Paris → London → SF → San Jose → Amsterdam → and back to London. If you’re at any of these events, come say hi. 👋 Luma links for our events in the comments 👇
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Love this, macOS Sandboxes on Daytona.
I made a computer use agent that works without screenshots. It uses the macOS accessibility API to interact with applications. You can run it in the cloud with @daytonaio, connect it to any LLM, and control any macOS application. Here it is building a simple program in Xcode:
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I tweeted about the state of the GPU market, and within hours, people were DMing me: "yo, what do you need? I'll get you gpus." You really can just tweet things, and they happen. @mattturck you were right!
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The GPU market right now is pure financial engineering. You can't get them on demand. So you sign a 3-year contract. But to get that contract, you need to put 30% down upfront. Most companies can't do that. So they find someone who can. - that person puts down your 30% - you sign the 3 year contract - your payments cover the entire cost of the GPU plus some - the person who put down your deposit owns the gpu outright So basically they took on zero hardware risk, got paid back entirely through your contract, and even kept the asset at the end. It's not a chip shortage anymore. Everywhere I see it's a capital access problem. If you have the 30% money, you're literally printing it right now. If you don't, you can't even get in the door.
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Must buy for new parents. The nespresso of baby formula. Cool to see that there is no shortage of innovation in this category.
We almost opened a @daytonaio cafe. Some time back, we were seriously looking at retail real estate in San Francisco. Ultimately decided against it because running a cafe is like running another business. Hiring, inventory, ops - all the same startup problems in a different package. We sponsored the Corgi Cafe instead. They are crushing it at both that and their actual business.
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Mfs will post this then exclusively hire Stanford dropout ex-Stripe employees
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Forward to community
Only if you’re not good at it
Angel investing is a great way to light money on fire
When a market gets crowded: - the strong ones pull away - the weak ones pivot - the mid ones get acquired
My little fund is barely 6 months old, and we are already up 1.5x. Not only is it in the green, but it is also in the top decile based on publicly available numbers. Also, one unicorn and an exit so far.
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Update: in addition to free steaks, YC companies can now get up to $200,000 in free @daytonaio credits. If you're in the current batch and running evals, training pipelines, or doing anything that needs isolated compute, come build with us!
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