Hao Liang
梁昊
Hao Liang is an executive director at Yunqi Capital, where he joined in 2019 and was promoted to ED in April 2026 . He leads the firm's "Y Transformers" program, a dedicated investment initiative targeting post-1998 founders building AI-native companies , and has backed deals including NoonWake, XTransfer, Creao AI, and iceKredit . His focus sits at the intersection of AI frontier technology and cross-border export infrastructure, with particular attention to AI-native hardware and the "retention curse" problem in consumer AI products .
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Coverage
Quantum, Brain-Computer Interfaces, Fusion... We Talked the Future to Death | "SJTU–Yunqi Capital AI Angel Fund" BBQ Session
Brainstorming by day, barbecue by night
Yunqi Insights | What Does Truly AI-Native Hardware Look Like?
Without AI, the product simply doesn't work.
We Backed a Xiaohongshu Hackathon Hit: How AI-Native Hardware and Software Break the "Buy-and-Abandon" Curse | Y Transformers
The Real Entry Point for AI Products
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
Yunqi Capital Perspectives | The Second Half of AI Agents: Stop Grinding on Efficiency Tools, the Opportunity Lies in Reconstructing Productivity
If Models Take 80% of the Value, What's Left for AI Applications?
Yunqi Capital Quarterly Q1 | Keep Moving Forward, Answers Lie Ahead
A Quick Look at Yunqi Capital's Latest
Yunqi Capital Team | New Promotions and New Members: Rooted Downward, Growing Upward
Let's grow and get better together!
"A Deep Dive" into Smart Hardware: Three Hours on Mass Production, Crowdfunding, and Gen Z | Yunqi Capital Event
The "Basics" and "Real Questions" of AI Hardware Innovation
