AI clones for the ambitious. Join our community: https://xitter.cf/t.co/t2dO5x5beL

Joined October 2025
Introducing Clone, the Personal AGI that predicts your next prompt. Press Tab twice, and your Clone keeps prompting your agents. Clone-in-the-Loop just killed Human-in-the-Loop. Available now (Beta): clone.is/you Comment your use case, and we’ll DM you a $1 first-month coupon for Clone Plus ($20/mo).
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Clone retweeted
[Clone Loop Day in Seoul] We’re hosting Clone Loop Day. This time, we’re automating business operations with AI. 🏆 We’re awarding a total of $30,000 in OpenAI API credits to the top three teams. 1st place: $15,000 · 2nd place: $10,000 · 3rd place: $5,000 This edition of Clone Loop Day is a three-hour hackathon focused on Agentic GTM (go-to-market). You’ll build a GTM loop that uses agents to find potential customers and promote your product. Design and run a loop where agents find prospects, create tailored messages and content, and analyze responses to improve the next round of outreach. We’re inviting founders and startup teams who have built a product and are ready to reach more customers. 📅 Saturday, October 24, 3–6 PM KST 📍 NAVER D2SF Lounge, 18th floor, The Asset, near Gangnam Station, Seoul 👥 Join solo or in teams of up to 4 🎟️ Free to attend; advance application and approval required Bring your laptop and a product you want to promote. Hosted by: Clone Sponsored by: OpenAI · NAVER D2SF · Deepest 👉 Apply for Clone Loop Day luma.com/a1bags64
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[Clone Loop Day in Seoul] We’re hosting Clone Loop Day. This time, we’re automating business operations with AI. 🏆 We’re awarding a total of $30,000 in OpenAI API credits to the top three teams. 1st place: $15,000 · 2nd place: $10,000 · 3rd place: $5,000 This edition of Clone Loop Day is a three-hour hackathon focused on Agentic GTM (go-to-market). You’ll build a GTM loop that uses agents to find potential customers and promote your product. Design and run a loop where agents find prospects, create tailored messages and content, and analyze responses to improve the next round of outreach. We’re inviting founders and startup teams who have built a product and are ready to reach more customers. 📅 Saturday, October 24, 3–6 PM KST 📍 NAVER D2SF Lounge, 18th floor, The Asset, near Gangnam Station, Seoul 👥 Join solo or in teams of up to 4 🎟️ Free to attend; advance application and approval required Bring your laptop and a product you want to promote. Hosted by: Clone Sponsored by: OpenAI · NAVER D2SF · Deepest 👉 Apply for Clone Loop Day luma.com/a1bags64
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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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Why are you still in the loop? Human-in-the-Loop is over. Clone-in-the-Loop is next.
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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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The bottleneck isn't the model. It's you.
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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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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.
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