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cofounder & ceo @cloneisyou | ai clones for the ambitious | website: https://teapawt.net/t.co/sY8kogSuMm | community: https://teapawt.net/t.co/gJCpQ3dcps

SF
Joined October 2025
Photo by Min (@cloneismin)Photo by Min (@cloneismin)Photo by Min (@cloneismin)Photo by Min (@cloneismin)Photo by Min (@cloneismin)Photo by Min (@cloneismin)Photo by Min (@cloneismin)Photo by Min (@cloneismin)Photo by Min (@cloneismin)Photo by Min (@cloneismin)
1/ $4.03 → $0.03–0.07 per task. Same model, Qwen3.8-27B, on @harvey's LAB benchmark. About 60x below the leaderboard entry, with no new model and no fine-tuning. What we changed:
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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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Today we’re introducing Kivo 🔥 What if you could take inspiration from Pinterest, remix it with your own content, and edit the result like you would in Figma? See what this experience feels like at kivo.art.
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Frying chicken after event
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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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