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 | "Weichong Semiconductor" Closes Tens of Millions in Series A+ Funding

Yunqi Capital | "Weichong Semiconductor" Closes Tens of Millions in Series A+ Funding

Recently, **Weichong Semiconductor**, a Yunqi Capital portfolio company specializing in semiconductor metrology and inspection equipment, **closed a Series A+ round of tens of millions of RMB**. The round was led by Jinyu Maowu, Optics Valley Semiconductor Industry Investment, and Saina Capital. The funds will be used for R&D, market expansion, and team building.

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Deep Dive: The DeepSeek Boom — Who Hit the Jackpot? Who Took the Hit? | Yunqi Capital Attent!on Podcast

Deep Dive: The DeepSeek Boom — Who Hit the Jackpot? Who Took the Hit? | Yunqi Capital Attent!on Podcast

DeepSeek's open-source push keeps accelerating, and the chain reactions it set off continue to ripple through the industry. As a major focus of tech entrepreneurship and venture investment in recent years, how will AI's venture narrative shift? What changes are entrepreneurs and investors on the ground actually sensing?

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Yunqi Capital's Back-to-Work Special: 2025 — Talking Confidence with Tech Founders and Partners

Yunqi Capital's Back-to-Work Special: 2025 — Talking Confidence with Tech Founders and Partners

The Lunar New Year holiday just past was anything but quiet in the global tech world. DeepSeek — that "mysterious force from the East" — shattered the assumption that top-tier AI performance requires top-tier computing power, reshaping the global AI landscape through a series of technical innovations and planting a seed of confidence for the year of innovation ahead.

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Pressing Forward, "Ten"aciously True to Our Roots | Yunqi Capital's 2024 Year in Review

Pressing Forward, "Ten"aciously True to Our Roots | Yunqi Capital's 2024 Year in Review

In 2015, when AlphaGo first defeated professional Go player Fan Hui 2-dan, AI still felt like a distant concept to the general public. By 2025, chatbots, intelligent driving systems, and AI hardware have become ubiquitous — the era of intelligence is transforming from vision into reality.

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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·