Personal AGI for the ambitious. Join our community: discord.gg/fqwAmDxa9
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Who wrote our YC? Prime did.
One hotkey. No prompt.
Let Prime complete you.
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Join the waitlist on Discord:
discord.gg/fqwAmDxa9
Eventually, we will clone you.
8-second handoff is where it all begins.
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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: discord.gg/fqwAmDxa9
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The Loop is broken.
Step out of it.
Early Access opens now :
→ clone.is/?v=2
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Foundation models. World models. The User Model.
The category is empty.
We're going to define it. We're going to win it.
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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.
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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.
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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.
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Today, we publicly release HEVEC, a vector database built on homomorphic encryption, enabling end-to-end privacy with real-time search at scale.
💻 Code: lnkd.in/gTzWC_Bz
📄 Paper: lnkd.in/g45fEaFD
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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)
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