Clone 👥

Predicting your next goal for AI agents.

Join our community:

[Clone 👥 @cloneisyou]

Who wrote our YC? Prime did.

One hotkey. No prompt.

Let Prime complete you.

[Clone 👥 @cloneisyou]

Join the waitlist on Discord:

https://t.co/BIVYRlXXeF

Eventually, we will clone you.

8-second handoff is where it all begins.

[Clone 👥 @cloneisyou]

Who wrote our YC? Prime did.

One hotkey. No prompt.

Let Prime complete you.

[Clone 👥 @cloneisyou]

@ZenithAiLab Autocomplete yourself!

[Clone 👥 @cloneisyou]

Don’t prompt. Leave it to Prime.

Today we’re introducing Prime : CUA that autocompletes your actions. Press a hot key and go get some coffee. Come back and see what Prime has done for you.

Sign up for closed beta: https://t.co/BIVYRlXXeF

[Clone 👥 @cloneisyou]

@moonlitebyte Let's connect!

[Clone 👥 @cloneisyou]

@SaniAiTech Double tap left command.

A simulation of you starts on your computer.

[Clone 👥 @cloneisyou]

@AinaAiTech That's the idea.

What would you hand off first?

[Clone 👥 @cloneisyou]

The Loop is broken.
Step out of it.
Early Access opens now :
→ https://t.co/HHz1sL63sP

[Clone 👥 @cloneisyou]

Why are you still in the loop?
Human-in-the-Loop is over.
Clone-in-the-Loop is next.

[Clone 👥 @cloneisyou]

Foundation models. World models. The User Model.
The category is empty.
We're going to define it. We're going to win it.

[Clone 👥 @cloneisyou]

We were the bottleneck in our own loop.
14,000 lines shipped by Claude Code.
412 "yes"es typed by us.
Same problem, every parallel-agent builder.

[Clone 👥 @cloneisyou]

Language models got smarter.
Humans got busier, not freer.
Agents work faster than people — but they keep stopping. To ask. To clarify. To wait for review.
The binding constraint stopped being model performance. It's human time and attention.

[Clone 👥 @cloneisyou]

The bottleneck isn't the model. It's you.

[Clone 👥 @cloneisyou]

AI-native builders run 5–10 agents in parallel.
Models work at 200 tokens/sec.
You answer at 0.3 questions/min.
Guess who's the bottleneck.

[Clone 👥 @cloneisyou]

As personal AI agents become deeply personalized, data ownership must belong to users.

HEVEC enforces this through privacy-by-design architecture.

🙌 We’d love feedback from the AI, systems, and privacy communities.

[Clone 👥 @cloneisyou]

Today, we publicly release HEVEC, a vector database built on homomorphic encryption, enabling end-to-end privacy with real-time search at scale.

💻 Code: https://t.co/8hLXb6tbPM
📄 Paper: https://t.co/AMIvsE7b0b

[Clone 👥 @cloneisyou]

What HEVEC enables:
• A secure, drop-in alternative to plaintext vector databases
• End-to-end homomorphic encryption for both data and queries
• Real-time encrypted search at scale (1M vectors in 187 ms)