Manus Bio
Manus
Manus Bio is an AI agent company founded by Xiao Hong (肖弘), with ZhenFund partner Yuan Liu as an early investor who backed the company after a roughly ten-year relationship with the founder . The company's product, Manus, is positioned as a general-purpose agent operating in open domains with defined endpoints—delivering concrete outputs like programs, pages, or research reports . Peak Ji (季逸超) serves as co-founder and chief scientist, with a stated focus on building network effects into product features .
In the competitive landscape, Manus represents what 5Y Capital termed a "paradigmatic opportunity"—a category where startups must establish market presence quickly within a finite window . The company has faced scrutiny on cost structure: its $200 monthly subscription and high token consumption during use were cited by Yunqi Capital in 2025 as illustrating the broader challenge of matching AI agent pricing to enterprise risk tolerance . Elsewhere's own reporting from late 2025 frames Liu Yuan's investment as a milestone in a longer arc of patient capital, though the investor himself reportedly worried whether the viral moment risked "popping champagne too early" .
AI-generated — may contain errors, please verify.
Coverage
"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·The First-Order Problem for Agents: Proactivity and the Economics of Context
Human attention has never been more scarce.
五源资本·OpenClaw, you have a new order!
Your first Agent, on us.
真格基金·I discovered a new business loop in OpenClaw.
The real winners are the ones who can keep "breathing."
峰瑞资本·How MIT Engineers Built the Tool That 80% of YC Founders Use
Even if the market is tiny, as long as you're No. 1, you can establish mindshare and set the standard.
真格基金·Manus Team Joins Meta: A Decade-Long Journey for a Group of Young People
A deep understanding of users and exceptional product engineering ability are what truly scarce in this era.
真格基金·A Conversation with ZhenFund Partner Yuan Liu: One Week with Manus, Ten Years with Red Xiao
真格基金·New Year 2026 Conversation with Koji: The Year of R
真格基金·Vol.001 | A Conversation with Yuan Liu: One Week with Manus, Ten Years with Xiao Hong
elsewhere别处发生·Allen Zhu invested in a Vibe Workflow company
"Coze for Dummies"
暗涌Waves·Zhang Tao Responds to Controversy for the First Time: Why Manus Hasn't Been Replaced | Tsinghua University Campus Tour
The magic only happens when you give intelligence back to the model.
真格基金·What's So Great About Gemini 3, the Model Everyone's Praising? | Yunqi Tech π
AI's evolution is far from over
云启资本·Deep Dive: a16z's Global Top 100 AI Apps — New Patterns and Trends | Yunqi Techπ
It's not just about who's fastest — it's about who can stick around.
云启资本·Are Models and "Shells" Both Undervalued? ZhenFund's Yusen Dai's Mid-2025 AI Review --- The past six months have been a turbulent period for AI. On one hand, DeepSeek's breakthrough has reignited global enthusiasm for Chinese AI; on the other, the commercialization path for large models remains unclear, and the market is growing increasingly anxious about when AI will generate real returns. Against this backdrop, I believe it's necessary to take stock of where we stand at this mid-point in 2025. **The Core Question: Are Models and "Shells" Both Undervalued?** Over the past two years, the AI industry has cycled through several narratives: from the initial frenzy over foundation models, to the subsequent boom in AI applications ("shells"), then a period of disillusionment as applications failed to deliver, and now a renewed focus on models following DeepSeek's success. But I want to propose a contrarian view: **both models and "shells" may be simultaneously undervalued by the market right now.** This might sound paradoxical. Let me explain. **Why Models Are Undervalued** The market's current skepticism toward model companies stems largely from two concerns: the commoditization of models (will they all become undifferent
In 2025, the "Sedol moment" for industries far and wide is only just beginning.
真格基金·Manus Founder Walks Through: How to Systematically Build Context Engineering for AI Agents?
If model progress is a rising tide, we want Manus to be the boat, not a pillar nailed to the seabed.
真格基金·Yusen Dai of ZhenFund: From "No Need to Pay" to "Can't Live Without It," AI Is on Track to Shatter Humanity's Fastest Growth Records
The development of AI is a bit like boiling water — once it hits the boiling point, the arrival of the steam engine will spark a new industrial revolution.
真格基金·Ren Xinqi, Yue Dian Technology: The toB Agent Generating Over 100 Million RMB in Revenue Is Reshaping Human-Machine Collaboration | Yunqi Capital Doers
When Agents Actually Become Colleagues
云启资本·Yunqi Capital's Chen Yu: AI Entrepreneurship Isn't About Speed — Direction and Endurance Matter More | Partner Perspectives
Achieve non-consensus breakthroughs with limited resources
云启资本·Linear Capital's Can Zheng: The Hype Is Just a Surface — Opportunity Belongs to Teams With Conviction and Execution | Linear View
Focus on the power of obsession and execution.
线性资本·Wang Hua's Latest Prediction: The Biggest Difference Between the AI Era and the Mobile Internet Era Is Fulfillment, Not Connection
The first year is the golden window to capture the first-mover advantage on model dividends — start building now.
暗涌Waves·Linear Zheng Can: AI Apps Are in the "Pre-iPhone 6" Era
Where are the gaps?
暗涌Waves·Yunqi Capital Research | AI Applications 2025: New Technologies and Trends Analysis
Looking at Direction from First Principles
云启资本·ZhenFund's Yusen Dai: A Long Conversation on AI Agents — Every Industry Will Face Its "Sedol Moment" (Part 1)
In the Agent era, "attention is not all you need."
真格基金·A Long Conversation with Yusen Dai on Agents: Every Industry Will Face Its "Sedol Moment" — Is Attention Not All You Need?
真格基金·
