👋 Hi, I’m Kehan

Kehan Dong (Roderick)

About Me

I work at the intersection of entrepreneurship, early-stage investing, and education.  I’m a former founder who dropped out to build my first company, which was later acquired.

I’ve lived and studied across China and the U.S.—over a decade in the U.S., and roughly twenty years in China.

For the past decade I’ve been exploring one question from different angles: how do exceptional young people discover what they’re capable of, and start building earlier?

The Journey

I started as a student founder, dropped out to build my first company, raised multiple rounds, and later exited through acquisition. That early chapter led to recognition such as Forbes 30 Under 30—but more importantly, it shaped how I think about building from zero.

I was on the founding team of YC China, working with Sam Altman and Qi Lu in its earliest phase. About a year later, Sam returned to the U.S. to focus full-time on OpenAI, and we continued independently as MiraclePlus. Sam later noted that the intern-based system I built at YC China was, for young people learning entrepreneurship, more effective than YC’s Startup School.

Being there at that moment mattered. I watched OpenAI move from a controversial idea to a credible lab, and eventually into a force reshaping how the world thinks about intelligence, work, and human potential. That experience left a lasting mark on how I think about non-consensus bets, early conviction, and what it actually looks like when something truly new begins.

By the Numbers

During this period, I was involved in managing over USD 450 million in early-stage capital. In practice, this meant:

  • Evaluated 160,000+ applications.

  • Participated in 670+ early-stage investments across AI, biotech, robotics, hard tech, and consumer.

  • Helped build a 7,000+ member intern sourcing engine to discover young builders at scale.

The Thesis

I taught and built hands-on entrepreneurship programs at leading universities across China and Asia, including Tsinghua and Peking University, and toured over 100 campuses—working with thousands of young people at the moment they first began to build.

After leaving MiraclePlus, I spent three months traveling across 40 top universities in the U.S. including every Ivy League school, MIT, Stanford, Caltech, Berkeley, and CMU. In the same period, I invested in 30 young founders—not to chase speed, but to back people who were already moving.

I’ve learned that at the earliest stage, what matters most isn’t polish or credentials, but high agency—how someone moves when no one is watching.

What’s Next

Today I invest as a personal angel and I’m building the next chapter: an AI-native entrepreneurship platform for young builders (14–22). No slides. No dogma. Real projects, long-term mentorship, AI-native tools, and a community designed for compounding growth.

Underneath this is a broader question I’m exploring: how early-stage entrepreneurship should be designed for this generation. Past models created enormous value, but many were built for a different era. I’m interested in systems that can: support people earlier, unlock outsized impact with fewer resources, and work globally by default.

Whether that means backing many builders, or a much smaller number whose work matters over decades, is still an open question—but I know I don’t want to be a conventional investor.

Let’s Connect

If you’re building something others don’t understand yet—or you’re a young founder, researcher, or educator rethinking how people learn and build—I’m always open to a short, high-signal conversation.

I read everything, though I can’t reply to every message. The conversations I tend to engage in most often come from:

  • People building early, before things look obvious

  • Researchers or students thinking seriously about starting

  • Collaborators working on education, systems, or long-term questions

If that sounds like you, feel free to write.

Email

LinkedIn

Quick facts

  • Location: Based in Beijing, Shanghai and the US.

  • Founder: Dropout founder, acquired company.

  • Experience: 160,000+ startup applications.

  • Portfolio: 670+ early-stage investments.

  • Capital: Involved in managing USD 450M+

  • Network: 7,500+ intern sourcing engine built.

  • Fieldwork: Visited 140+ universities globally

  • Speed: 30 young founders backed during that trip.

  • Personal: Dog person, former Westie owner.

What I’m Looking For

I am most interested in connecting with:

  • Young founders with unusual agency.

  • Scientists who want to build, not just publish.

  • Educators designing systems, not courses.

  • People who take responsibility for their own trajectory.

Personal Angel Investments (Selected)

Early-stage, often pre-product or pre-company

I primarily invest in people rather than companies—often at the moment when intent is clear, but structure is not.

Selected examples include:

  • Elfen AI — AI-native ERP for B2B supply chains

    Founded by former Princeton PhD researchers

  • Sentra — Programmable architecture for next-generation buildings

    Founded by a Stanford undergraduate

  • Mira (ex-Halo) — Proactive personal AI glasses

    Founded by a Harvard undergraduate

  • NEURAL MOTION — Data infrastructure for embodied robotics

    Stanford-based research-driven platform

  • Geospatios — AI operating system for aviation workflows

    North America–focused

  • S****t — AI-native legal systems for the U.S. market

    Founded by a Yale dropout

  • Fernwey — Trading copilots for individual investors

    Columbia University

  • Pulse — AI-native task execution assistants

    Oxford University

  • LingTing (Listen AI) — Conversational AI platforms

    Former enterprise operator, Dartmouth-trained

Many of these investments were made when the founders were students, dropouts, or still exploring direction.

Selected Investments via MiraclePlus

I participated directly in early-stage evaluation and investment decisions during my time at MiraclePlus.

During my time with MiraclePlus, I participated directly in early-stage investment evaluation and decision-making across hundreds of companies. The portfolio includes multiple breakout outcomes and a long tail of deeply technical builders.

Representative Large-Scale Outcomes (selected):

  • Agibot (Zhiyuan Robotics) — Humanoid and general-purpose robotics. Backed by Sequoia China, Hillhouse, GGV Capital, and Matrix Partners. Valuation ~USD 4B+

  • Moonshot AI — Large language models and foundation AI systems. Backed by Alibaba, ZhenFund, and RedNote. Valuation ~USD 4B+

  • Baichuan AI — General-purpose large language models. Backed by Alibaba, Tencent, and Xiaomi. Valuation ~USD 3B+

  • Oriens Space — Commercial aerospace and launch systems. Backed by Sequoia China and ZhenFund. Valuation ~USD 1.4B

  • Lightyears Beyond — LLM and foundation AI systems. Acquired by Meituan.  Valuation ~USD 1.4B+

40+ companies valued between USD 100M–1B, including (selected):

Intent, Striding AI, BigBang, HHG Fusion, SiliconFlow, X-Cloud, Helium Starlink, StellarShift Communications, Dayu Semiconductor, ClearMotion AI, Photonism, RWKV, Moza, Jiutian Intelligence, AheadForm, Authing, Fello, Qingmao Intelligence, hyper3d, PaXini Perception, CoreSpirit AI, SiFive, GravityXR, FlowTech, DDJ Robotics, Huayi Quantum, HuiXi Intelligence, Standard Robotics, Qiongche Intelligence, Sapient (OpenChat), Carbon Energy, DeepLang AI, Botree Recycling, NewCore Cloud, Hypershell, Bitwise Path, BIM Engine, among others