云启资本

云启资本

@yunqipartners

科技常新，寻找未来开创者

534 articles18 episodes

Articles

Yunqi Capital Leads Pre-A Round in Xingwang Power: Positioning at the Core of AI Computing | Yunqi Portfolio --- Yunqi Capital has led the Pre-A funding round for Xingwang Power (芯网动力), a company focused on AI computing infrastructure, as the firm continues to bet on the critical upstream layers of the artificial intelligence supply chain. The investment reflects Yunqi's strategy of targeting foundational technologies that enable next-generation AI deployment. Xingwang Power operates in the AI computing power sector, which has become an increasingly contested space as demand for training and inference capacity surges globally. Yunqi Capital, an early-stage venture fund known for investments in companies including MiniMax, has been actively deploying capital across the AI stack. Partner Chen Yu has led the firm's efforts in identifying infrastructure opportunities tied to large model development and commercialization. The round marks another addition to Yunqi's portfolio of AI-related investments, as the fund seeks to capture value at the compute layer where bottlenecks remain acute.

Yunqi Capital Leads Pre-A Round in Xingwang Power: Positioning at the Core of AI Computing | Yunqi Portfolio --- Yunqi Capital has led the Pre-A funding round for Xingwang Power (芯网动力), a company focused on AI computing infrastructure, as the firm continues to bet on the critical upstream layers of the artificial intelligence supply chain. The investment reflects Yunqi's strategy of targeting foundational technologies that enable next-generation AI deployment. Xingwang Power operates in the AI computing power sector, which has become an increasingly contested space as demand for training and inference capacity surges globally. Yunqi Capital, an early-stage venture fund known for investments in companies including MiniMax, has been actively deploying capital across the AI stack. Partner Chen Yu has led the firm's efforts in identifying infrastructure opportunities tied to large model development and commercialization. The round marks another addition to Yunqi's portfolio of AI-related investments, as the fund seeks to capture value at the compute layer where bottlenecks remain acute.

The Battle for Compute: From Performance to Efficiency and Security

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Podcasts

Vol.17 48-Hour Xiaohongshu Hackathon Hit: How an AI-Native Product That Broke the "Retention Curse" Was Built --- Two weekends ago, I participated in a 48-hour hackathon hosted by Xiaohongshu. Our team of four built an AI-native product from scratch — no code, no design background between us — and ended up winning the "Most Popular" award. The product? A voice diary app called **"Echo"** that uses AI to turn fragmented daily moments into serialized, episodic "life podcasts." Think *This American Life*, but starring you. What surprised me wasn't that we won. It was that people kept using it *after* the demo. Here's the dirty secret of AI hackathons: most projects die the moment judges stop clapping. The "retention curse" is real — users try your GPT wrapper once, say "neat," and never return. We broke that pattern. Our daily active user rate among beta testers hit 34% in week one, which for a hackathon product is basically unheard of. How? Three deliberate choices we made against hackathon orthodoxy. **First, we refused to build a chatbot.** The default AI product in 2024 is still "talk to a large language model." We explicitly rejected this. Chat interfaces create *performance anxiety* — users feel pressure to ask the "right
Vol.17 48-Hour Xiaohongshu Hackathon Hit: How an AI-Native Product That Broke the "Retention Curse" Was Built --- Two weekends ago, I participated in a 48-hour hackathon hosted by Xiaohongshu. Our team of four built an AI-native product from scratch — no code, no design background between us — and ended up winning the "Most Popular" award. The product? A voice diary app called **"Echo"** that uses AI to turn fragmented daily moments into serialized, episodic "life podcasts." Think *This American Life*, but starring you. What surprised me wasn't that we won. It was that people kept using it *after* the demo. Here's the dirty secret of AI hackathons: most projects die the moment judges stop clapping. The "retention curse" is real — users try your GPT wrapper once, say "neat," and never return. We broke that pattern. Our daily active user rate among beta testers hit 34% in week one, which for a hackathon product is basically unheard of. How? Three deliberate choices we made against hackathon orthodoxy. **First, we refused to build a chatbot.** The default AI product in 2024 is still "talk to a large language model." We explicitly rejected this. Chat interfaces create *performance anxiety* — users feel pressure to ask the "right

Vol.17 48-Hour Xiaohongshu Hackathon Hit: How an AI-Native Product That Broke the "Retention Curse" Was Built --- Two weekends ago, I participated in a 48-hour hackathon hosted by Xiaohongshu. Our team of four built an AI-native product from scratch — no code, no design background between us — and ended up winning the "Most Popular" award. The product? A voice diary app called **"Echo"** that uses AI to turn fragmented daily moments into serialized, episodic "life podcasts." Think *This American Life*, but starring you. What surprised me wasn't that we won. It was that people kept using it *after* the demo. Here's the dirty secret of AI hackathons: most projects die the moment judges stop clapping. The "retention curse" is real — users try your GPT wrapper once, say "neat," and never return. We broke that pattern. Our daily active user rate among beta testers hit 34% in week one, which for a hackathon product is basically unheard of. How? Three deliberate choices we made against hackathon orthodoxy. **First, we refused to build a chatbot.** The default AI product in 2024 is still "talk to a large language model." We explicitly rejected this. Chat interfaces create *performance anxiety* — users feel pressure to ask the "right

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