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We evolve.
Introducing Yoru: the next chapter in how we build with AI in Web3.
Zap was fast, electric, full of energy.
But speed alone was never the destination.
“Yoru” means night in Japanese — a space for focus, clarity, and quiet intelligence.
Yoru is where you shape AI agents: code-free, fully in control.
Not just fast. Purposeful. Precise. Yours.
Zap was the spark.
Yoru is the journey.
Coming soon.
Yoru Labs retweeted
𝐖𝐞𝐧 𝐓𝐆𝐄? 𝐍𝐨𝐰.
𝐓𝐚𝐧𝐬𝐬𝐢 𝐦𝐚𝐢𝐧𝐧𝐞𝐭 𝐢𝐬 𝐋𝐈𝐕𝐄.
After 3 testnets, 18K appchains registered, 3K+ launched, and 57M transactions
Appchain deployment is now a matter of minutes,
Secured by Ethereum via Symbiotic,
Fully customizable infra. Out of the box.
Yoru Labs retweeted
Introducing Nillion's Enterprise Cluster!
A privacy-first internet can’t be built on promises, it needs verifiable trust.
We’ve partnered with four major global enterprises to make privacy accessible to billions.
Learn more 🧵👇
Yoru Labs retweeted
The next internet won’t manipulate you, monetize you or memorize you.
It’ll be intelligent.
But intelligence can’t scale on surveillance.
Privacy must be the base layer.
Introducing The Nillion Standard 👇
Big congrats to @TanssiNetwork 🎉
The testnet is live and it’s looking spicy 🌶️
If you're into launching chains without the infra pain, this one’s worth watching 👀
⚠️ Fake Account Alert
When we rebranded from Zap to Yoru, we didn’t secure the old handle — someone took it and is now impersonating us.
It’s a scam.
Please report the account.
1/6 Building with AI sounds fun.
Until it breaks. Repeatedly.
Here are some common pain points and how Zap keeps your agent workflows clean and stress-free. 🧵👇
5/6 Integration with Legacy Systems Old systems don’t speak “AI.”
Connecting them is a pain.
🟢 Zap comes with a wide range of ready-to-use integrations and flexible webhooks, so you can plug into existing tools fast.
6/6 Want to skip the pain and build powerful AI workflows fast?
Join the Zap waiting list and get early access to a simpler, faster way to build with AI:
👉 0xzap.com/
4/7 ✨ Real uses of MCP:
• GitHub MCP server lets AI review code, manage PRs, and track issues
• Slack MCP server automates team comms—reminders, messages, and more
• Brave Search MCP connects AI to real-time info for fact-checking & research
You can find more examples in public collections like:
🔎 mcpservers.org
🔎 github.com/modelcontextproto…
6/7 🏗️ Why both matter:
MCP = seamless, safe access to your tools & data
A2A = smooth teamwork among multiple AI agents
Together, they let you build AI “squads” that both use your systems and coordinate themselves end‑to‑end.
















