Today, we're officially introducing the new Vybe.
We started as "Lovable for internal apps." We spent the last year building the infrastructure: permissions, integrations, databases, workflows. Everything companies need to actually trust software inside their business.
Then, OpenClaw came out and started showing what was possible with agents for personal use cases. Everything clicked for us.
The infrastructure we'd built wasn't just useful for humans anymore: it was exactly what agents needed to operate inside real companies and teams.
What happens when agents can work 24/7, with the right context, the right permissions, and access to your company's tools?
A founder becomes a one-person army. A small team operates like a much bigger one.
That's the mission we fell in love with at @vybe_build. Our agents have names and roles. They have their own email, Slack, phone number. They prep meetings, follow up with leads, run ops, update CRMs, build internal tools.
Vybe runs on Vybe.
We're onboarding 10 teams a week to run AI-native companies.
My advice to founders in 2026: spend tokens, not headcount.
Record everything. Make your company queryable. Build self-improving loops.
Before long, AI won’t just help you operate your company. It will make it self improving.
Don't think AI adoption, think AI transformation.
This is the biggest shift in how startups get built since cloud computing.
Biggest red flag I hear from early stage founders?
“We’re working on self-serve onboarding”
Your product currently requires you to talk to every new customer?
That’s a good thing.
If you’re a French YC founder (current batch or alumni) and want to meet other French YC founders in SF 🇫🇷
We’re hosting a curated founder event this Wednesday, May 27.
If you’re interested, let me know.
The essential engineering cheatsheet of 2026:
agent → while loop
subagent → nested while loop
agent harness → the rest of the code
cloud agent → all the above, on EC2
Always fascinating how every “we’re going closed source” post comes with a brand new philosophical justification.
Nothing wrong with business motives. Pretending it’s not about that is the weird part.
Open source is dead.
That’s not a statement we ever thought we’d make.
@calcom was built on open source. It shaped our product, our community, and our growth. But the world has changed faster than our principles could keep up.
AI has fundamentally altered the security landscape. What once required time, expertise, and intent can now be automated at scale. Code is no longer just read. It is scanned, mapped, and exploited. Near zero cost.
In that world, transparency becomes exposure. Especially at scale.
After a lot of deliberation, we’ve made the decision to close the core @calcom codebase.
This is not a rejection of what open source gave us. It’s a response to what risks AI is making possible.
We’re still supporting builders, releasing the core code under a new MIT-licensed open source project called cal. diy for hobbyists and tinkerers, but our priority now is simple:
Protecting our customers and community at all costs.
This may not be the most popular call.
But we believe many companies will come to the same conclusion.
My full explanation below ↓
Blaxel is officially a first-class sandbox provider in the new version of @OpenAI Agents SDK.
Your agents now have shell, file I/O, and live preview URLs, all running in isolated cloud sandboxes on Blaxel infra.
https://t.co/7sPjOmNEWk
We're bringing the advisor strategy to the Claude Platform.
Pair Opus as an advisor with Sonnet or Haiku as an executor, and get near Opus-level intelligence in your agents at a fraction of the cost.
Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software.
It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans.
https://t.co/NQ7IfEtYk7
Orange a commencé depuis 00h
l'extinction de son réseau 2G en France. Le GSM, lancé en 1992, tire sa révérence après 34 ans de service. Un thread sur pourquoi c'est plus qu'un simple changement technique 🧵👇
Yeah there’s a line between “we stand by founders no matter what” and “we won’t tolerate bullshit and lying to your customers”
You can legitimately be both. You just need boundaries and a back bone.
If you use GitHub (especially if you pay for it!!) consider doing this *immediately*
Settings -> Privacy -> Disallow GitHub to train their models on your code.
GitHub opted *everyone* into training. No matter if you pay for the service (like I do). WTH
https://t.co/vcSkhM5yLV
Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: https://t.co/CDSQ8HpZoc