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Guillermo Rauch

Argentine software engineer, CEO and co-founder of Vercel and creator of Socket.io; blogs at rauchg.com.

16 things

OpusSoftware Anthropic

loved

ShellPerfBench. I'm really neurotic about the startup time of a new shell session. Opus 5.5 found a lot of really great optimizations other models missed. Anon, anytime you open a new terminal, you might be silently suffering. Tell your agent to optimize .𝚣𝚜𝚑𝚛𝚌 and friends

x.com ↗·2026-09-24

ShellPerfBenchSoftware

loved

ShellPerfBench. I'm really neurotic about the startup time of a new shell session. Opus 5.5 found a lot of really great optimizations other models missed. Anon, anytime you open a new terminal, you might be silently suffering. Tell your agent to optimize .𝚣𝚜𝚑𝚛𝚌 and friends

x.com ↗·2026-09-24

Next.jsSoftware Vercel

loved

This is @nextjs at its finest: http://anthropic.com/claude-opus-5-5

x.com ↗·2026-09-22

shadcnSoftware

loved

Lots of love to folks working on @shadcn, Svelte(kit), Nuxt, Node.js and security foundations.

x.com ↗·2026-09-08

NuxtSoftware

loved

Lots of love to folks working on @shadcn, Svelte(kit), Nuxt, Node.js and security foundations.

x.com ↗·2026-09-08

Node.jsSoftware

loved

Lots of love to folks working on @shadcn, Svelte(kit), Nuxt, Node.js and security foundations.

x.com ↗·2026-09-08

AstraSoftware

loved

Astra is now the best cybersecurity model in the world on @vercel DeepsecBench. It pulls off in 49 minutes what took Sol ~4 hours, with a better score, at nearly the same cost.

x.com ↗·2026-09-05

NotionSoftware Notion Labs

loved

In 2019, I fell in love with Notion, which you can think of an all-in-one company/personal wiki + full MS Office-like suite.

His 2019 year-in-review essay, in a section on applications that are really just a good data structure.

rauchg.com ↗·2020-01-01

JevSoftware

liked

The data and the anecdata on Jev's adoption are shocking. Everyone is adopting it. I think it's a great product, but this is also downstream of the "AI is too expensive/slow" zeitgeist.

x.com ↗·2026-09-18

BlenderSoftware Blender Foundation

liked

Open source training data Blender beats all its competitors because it's optimal in the most important dimension: agents can train on it and use it efficiently. OSS wins.

x.com ↗·2026-09-07

FluidService Vercel

liked

Fluid is the thing that has enabled Vercel's:

Crediting Vercel's Fluid compute for the platform's build performance, sandbox concurrency and long function durations. Rauch is Vercel's CEO.

x.com ↗·2026-09-01

XService X Corp

liked

I read every DM people send me, even if I don’t reply to all. I’m constantly learning about new ideas, ways to improve our product, where we’re falling short, who could join our company next, where to invest… very grateful for the @x platform.

On what he gets out of reading his direct messages on X.

x.com ↗·2026-08-29

LinuxSoftware

recommended

The case for *total* Linux victory (desktop, mobile, server, iot, robots, embedded…): 1) Most agent-programmable People will want fully personalized computing experiences.

x.com ↗·2026-09-07

Vercel AI GatewayService Vercel

recommended

Points all coding agents to AI Gateway, getting you 100% uptime, observability, budgets, and ease of switching.

Announcing a setup command that routes coding agents through Vercel's gateway. Rauch is Vercel's CEO.

x.com ↗·2026-09-03

eveSoftware Vercel

recommended

But how many that give you a Git repo where you actually *own* the entire intelligence stack? Runtime, model choice, skills, tools, connectivity, sandbox…

Pitching eve as an agent starting point you own end to end.

x.com ↗·2026-08-28

Run SDKSoftware Vercel

recommended

When agents write code, you don't always need a full sandbox. You can 𝚛𝚞𝚗 their code in a lightweight QuickJS secure context. Faster and more cost-efficient.

Launching Vercel's Run SDK for sandboxless evaluation of agent-written code.

x.com ↗·2026-08-25

Every entry is a verbatim quote and a link to the public post it came from. Nothing is paraphrased. If it is not on record somewhere public, it is not here.

The verdict is what they actually said: loved and liked are explicit; recommended means they told others to get it; uses means they only say they use it; read is a book on their public shelf with no verdict; mixed and disliked are kept too.

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