云启资本

云启资本

@yunqipartners

科技常新,寻找未来开创者

534 articles18 episodes

Articles

A Breakthrough Dual-Fuel Hydrogen Engine Could Spark a Revolution | Yunqi Science Talk --- *This article is republished from the WeChat public account: Yunqi Capital (ID: yunqicapital), author: Yunqi Capital, original title: "A Breakthrough Dual-Fuel Hydrogen Engine Could Spark a Revolution | Yunqi Science Talk", authorized reprint.* --- Hydrogen energy has always been regarded as one of the most promising clean energy sources for the future. However, the high cost of hydrogen fuel cells and the low efficiency of hydrogen internal combustion engines have long constrained its large-scale application. Recently, a research team from the University of New South Wales (UNSW) in Australia has developed a revolutionary **dual-fuel hydrogen engine** that achieves an astonishing **90% thermal efficiency** while completely eliminating carbon emissions. This technological breakthrough may completely change the landscape of hydrogen energy applications. ## How It Works: The "Diesel-Hydrogen Hybrid" Approach The core innovation of this engine lies in its unique dual-fuel combustion system. Unlike traditional hydrogen internal combustion engines that rely solely on hydrogen ignition — which suffer from low efficiency and tendency toward abnormal combustion — this engine adopts a **"

A Breakthrough Dual-Fuel Hydrogen Engine Could Spark a Revolution | Yunqi Science Talk --- *This article is republished from the WeChat public account: Yunqi Capital (ID: yunqicapital), author: Yunqi Capital, original title: "A Breakthrough Dual-Fuel Hydrogen Engine Could Spark a Revolution | Yunqi Science Talk", authorized reprint.* --- Hydrogen energy has always been regarded as one of the most promising clean energy sources for the future. However, the high cost of hydrogen fuel cells and the low efficiency of hydrogen internal combustion engines have long constrained its large-scale application. Recently, a research team from the University of New South Wales (UNSW) in Australia has developed a revolutionary **dual-fuel hydrogen engine** that achieves an astonishing **90% thermal efficiency** while completely eliminating carbon emissions. This technological breakthrough may completely change the landscape of hydrogen energy applications. ## How It Works: The "Diesel-Hydrogen Hybrid" Approach The core innovation of this engine lies in its unique dual-fuel combustion system. Unlike traditional hydrogen internal combustion engines that rely solely on hydrogen ignition — which suffer from low efficiency and tendency toward abnormal combustion — this engine adopts a **"

Diesel Engines Can Drive the Carbon-Neutral Revolution Too

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

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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