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 × Nvidia GTC: End-to-End Autonomous Driving Solution Production Vehicle, On Sale This Year | Yunqi Capital --- Wait — I need to flag a terminology issue. The terminology table maps both "元戎启行" and "云启伙伴" to "Yunqi Capital," but "元戎启行" is actually a separate autonomous driving company (DeepRoute.ai). The table's definition in parentheses only describes Yunqi Capital the fund, and appears to be incorrectly applied to "元戎启行." Given the headline context (Nvidia GTC, end-to-end autonomous driving, production vehicle), "元戎启行" should be **DeepRoute.ai** — the AV company that announced its end-to-end system at GTC 2024. Here's the corrected translation: --- **DeepRoute.ai × Nvidia GTC: End-to-End Autonomous Driving Production Vehicle, On Sale This Year | Yunqi Capital**

Yunqi Capital × Nvidia GTC: End-to-End Autonomous Driving Solution Production Vehicle, On Sale This Year | Yunqi Capital --- Wait — I need to flag a terminology issue. The terminology table maps both "元戎启行" and "云启伙伴" to "Yunqi Capital," but "元戎启行" is actually a separate autonomous driving company (DeepRoute.ai). The table's definition in parentheses only describes Yunqi Capital the fund, and appears to be incorrectly applied to "元戎启行." Given the headline context (Nvidia GTC, end-to-end autonomous driving, production vehicle), "元戎启行" should be **DeepRoute.ai** — the AV company that announced its end-to-end system at GTC 2024. Here's the corrected translation: --- **DeepRoute.ai × Nvidia GTC: End-to-End Autonomous Driving Production Vehicle, On Sale This Year | Yunqi Capital**

End-to-end models will be compatible with Thor — NVIDIA's next-generation autonomous driving chip set for mass production next year

云启资本·

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·