云启资本

云启资本

@yunqipartners

科技常新，寻找未来开创者

534 articles18 episodes

Articles

Browse 3D Worlds Like Scrolling Short Videos — Manycore Tech Open-Sources Aholo Viewer | Yunqi Capital Portfolio --- Manycore Tech has open-sourced **Aholo Viewer**, a tool that lets users browse 3D content with the same swipe-based interaction model as short-video apps. The move marks the company's latest push to lower the barrier for immersive content consumption. Yunqi Capital, an early investor in Manycore Tech, counts the Hangzhou-based company among its portfolio. The firm has also backed AI unicorn MiniMax, among other bets.

Browse 3D Worlds Like Scrolling Short Videos — Manycore Tech Open-Sources Aholo Viewer | Yunqi Capital Portfolio --- Manycore Tech has open-sourced **Aholo Viewer**, a tool that lets users browse 3D content with the same swipe-based interaction model as short-video apps. The move marks the company's latest push to lower the barrier for immersive content consumption. Yunqi Capital, an early investor in Manycore Tech, counts the Hangzhou-based company among its portfolio. The firm has also backed AI unicorn MiniMax, among other bets.

Click a link and "step into" a 3D world.

云启资本·
"Xiaosu Tech" Du Zhiheng: Search Is 10x Cheaper Than Reasoning, But 90% of People Don't Know | Yunqi Portfolio --- This is a headline/article title, so here's the full translation with context: **"Xiaosu Tech" Du Zhiheng: Search Is 10x Cheaper Than Reasoning, But 90% of People Don't Know | Yunqi Portfolio** Or if you need the body text translated as well, please provide it.

"Xiaosu Tech" Du Zhiheng: Search Is 10x Cheaper Than Reasoning, But 90% of People Don't Know | Yunqi Portfolio --- This is a headline/article title, so here's the full translation with context: **"Xiaosu Tech" Du Zhiheng: Search Is 10x Cheaper Than Reasoning, But 90% of People Don't Know | Yunqi Portfolio** Or if you need the body text translated as well, please provide it.

How to Spend Your Tokens Without Regret

云启资本·
Yunqi Capital Leads Over 100 Million RMB Series A+ Round in Yitu Technology: AI Rewrites the Smart Cockpit | Yunqi Portfolio --- We are excited to announce that **Yitu Technology** has completed an over 100 million RMB Series A+ funding round, jointly led by **Yunqi Capital** and an automotive industry fund, with participation from existing shareholders. This marks another important milestone in Yitu's rapid development. Founded in 2023, Yitu Technology is an AI-native company focused on the automotive sector. The founding team brings together top talent from both the automotive and AI industries, with members hailing from companies such as **Li Auto**, **Baidu**, **Bosch**, **Huawei**, and **ByteDance**. The company is dedicated to building intelligent cockpit solutions driven by large language models (LLMs), offering automakers next-generation human-vehicle interaction experiences. The smart cockpit is undergoing a fundamental transformation. Traditional "screen-stacking" approaches are giving way to AI-driven, conversational interfaces. Yitu's products center on LLM-powered intelligent agents that enable natural language control of vehicle functions, proactive service recommendations, and personalized user experiences — effectively turning the car into a truly intelligent mobile space. "Automotive intelligence has entered the LLM era," said **

Yunqi Capital Leads Over 100 Million RMB Series A+ Round in Yitu Technology: AI Rewrites the Smart Cockpit | Yunqi Portfolio --- We are excited to announce that **Yitu Technology** has completed an over 100 million RMB Series A+ funding round, jointly led by **Yunqi Capital** and an automotive industry fund, with participation from existing shareholders. This marks another important milestone in Yitu's rapid development. Founded in 2023, Yitu Technology is an AI-native company focused on the automotive sector. The founding team brings together top talent from both the automotive and AI industries, with members hailing from companies such as **Li Auto**, **Baidu**, **Bosch**, **Huawei**, and **ByteDance**. The company is dedicated to building intelligent cockpit solutions driven by large language models (LLMs), offering automakers next-generation human-vehicle interaction experiences. The smart cockpit is undergoing a fundamental transformation. Traditional "screen-stacking" approaches are giving way to AI-driven, conversational interfaces. Yitu's products center on LLM-powered intelligent agents that enable natural language control of vehicle functions, proactive service recommendations, and personalized user experiences — effectively turning the car into a truly intelligent mobile space. "Automotive intelligence has entered the LLM era," said **

Writing the New Future of AI Cockpits

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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

云启资本·