# Mary Liu **Founder, Motion Trade** — New York City, NY, United States > AI-native prediction market and developer products entrepreneur. Built Motion Trade to $780+ users in one year; previously scaled developer ecosystems at Celestia Labs and advised early-stage deep-tech founders on go-to-market strategy. Career Archetype: **Launchpad Navigator** (HS-DG) — One of the first Launchpad Navigators on Saywise ## Links - LinkedIn: https://linkedin.com/in/missmaryliu - X: https://x.com/howdymary - GitHub: https://github.com/howdymary ## Experience ### Founder, motionmarkets (2025-07 – present) Data. ### Founder, Internet Motion, Inc (2025-05 – 2026-06) Remote · Founded and engineered Motion Trade, an AI-native prediction-market intelligence platform. Built production systems for entity discovery, market linking, and real-time market data delivery using TypeScript, Node.js, PostgreSQL, Redis, Vercel, and Fly.io. Raised a pre-seed round and grew the platform from zero to over 780 users, owning strategy, architecture, and product end-to-end. ### Advising, Stealth Startup (2024-05 – 2025-07) New York, United States · Advised 10+ clients on GTM motion, companies ranged from Pre-Seed, Seed, and Series A startups. EZKL, Open Gradient, Perpl, and Liquid, among others. Grew to $500k ARR. ### Freelance, Independent Consultant (2024-04 – 2025-05) Remote · Grew independent advisory practice to $500k+ in consulting revenue advising early-stage deep-tech startups on developer-first product strategy, go-to-market positioning, and product launches. Led product launches end-to-end for clients including OpenGradient, Aionex, Doppler, EZKL, and Liquid. Recruited and hired product engineers, solutions engineers, and community leads. Supported seed fundraises from a16z, SALT, Coinbase, and strategic angels. ### Strategy - Business Development, Celestia Labs (2022-10 – 2024-04) New York, United States · Architected and executed developer ecosystem activation strategy for global infrastructure platform. Managed product solution timelines and technical onboarding for external development teams across block explorers, mempools, fee markets, rollup services, and inference networks. Co-led token launch team managing agreements with market makers, custodians, exchanges, and liquidity providers. Wrote developer onboarding and activation playbooks from scratch. ### Fellow, All Raise (2021-08 – 2022-06) New York City Metropolitan Area ### Investment Associate, Galaxy Digital (2021-07 – 2022-08) New York City Metropolitan Area · Sourced, conducted technical due diligence, and underwrote investments in venture and hedge funds across multiple sectors and strategies. Built relationships with 100+ founders and technical operators in emerging infrastructure projects. Constructed financial models to monitor portfolio company health. Executed investments end-to-end across twelve venture funds, six market neutral hedge funds, and three fundamental hedge funds. ### Investor, Alumni Ventures (2020-08 – 2021-07) San Francisco Bay Area · Investing in founders with a stage and sector agnostic approach. $800M+ AUM. ### Data Science, Democratic National Committee (2020-06 – 2020-08) Washington, District of Columbia, United States · Built models to predict voter partisanship and participation. Helped Joe win 2020. ### Research Associate, U.S. House of Representatives & The Brookings Institution (2019-06 – 2020-06) Washington DC-Baltimore Area · Conducted data-driven policy research and statistical analyses of socioeconomic mobility using American Community Survey, Industry Tables, and occupational data. Produced policy briefs and data visualizations translating research findings into actionable policy recommendations for members of Congress, congressional staff, and state policymakers. ### Research Scholar, The Data Science Institute at Columbia University (2019-03 – 2019-08) New York, New York · Researched methods of predicting opioid outbreaks at the Mailman School of Public Health. ### Co-Founder, Two X Ventures (2018-10 – 2021-01) Built a non-profit with my friends. Raised funding to facilitate digital literacy courses and donated over fifty laptops. ### Software Engineer, JPMorgan Chase & Co. (2018-05 – 2018-08) Greater New York City Area · Worked in Quantitative Research group within the Corporate and Investment Banking Division. ### Financial Analyst, Columbia Technology Ventures (2017-09 – 2018-05) Greater New York City Area · Work-Study Program supporting startups that emerged from Columbia’s undergraduate and graduate programs. ### Product Manager, Daughters Rising (2016-09 – 2017-06) Chiang Mai, Thailand · Managed digital product launches. Coded in HTML, CSS, and Javascript. Taught HTML/CSS to Thai graduates of Chai Lai Orchid program. Managed digital product launch strategy for Chai Lai Sisters, the first indigenous women-led trekking venture in Thailand. ### Research Intern, Lawrence Livermore National Laboratory (2015-06 – 2015-08) Atmospheric, Earth, and Energy Division · Built models to predict dispersion of disease in urban landscapes. ## Education ### Master's degree in Schwarzman Scholarship, Tsinghua University (2019-09 – 2021-06) Schwarzman Scholarship ### Summer Venture in Management Program, Harvard Business School (2018-01 – 2018-01) One of 180 participants from a nationwide pool of more than 6,000 applicants. ### Bachelor's degree in Applied Mathematics, Columbia University in the City of New York (2015-09 – 2019-06) Magna cum laude, Full Tuition Scholarship ### Mathematics and Military History, United States Military Academy at West Point Top 10% of Class, Four Semester Dean's List, Distinguished Cadet Award, General Omar Bradley Historical Research Fellowship ## Projects ### autopredict Framework for self-improving prediction market trading agents · Built autonomous AI agents in Python that analyze web data, generate trading signals, and iteratively refine their own strategies. Designed for developers building on prediction market protocols. ### ai-policy-lab Multi-agent policy research system built on LangGraph · Produces graduate-level research reports, structured source audits, and normalized public dataset manifests. Demonstrates practical agentic AI architecture for complex information synthesis. ### hermes-agent-metaharness Python meta-harness for Hermes benchmark evaluation · Evaluates and compares benchmark candidates, reads run archives, and automatically tracks the best-performing frontier. Supports deterministic mutation and search over candidates to surface stronger configurations. ## Skills Python, Java, R, Research, Curriculum Development, Teaching, WordPress, Grant Writing, Peer Tutoring, Matlab, TypeScript, SQL, LangGraph, LLM evals, Node.js, PostgreSQL, Redis, Vercel, Fly.io, Git, Product Strategy, Go-to-Market, Developer Ecosystems, Policy Research, Financial Modeling, Data Analysis, Intermediate Chinese, Conversational Spanish ## Credentials - **Kenan Fellowship** — Columbia University (issued 2017-11) - **Goldman Sachs Scholarship** — Goldman Sachs Engineering (issued 2017-09) - **Dean's Scholarship** — Columbia University (issued 2017-08) - **Distinguished Cadet Award** — United States Military Academy at West Point (issued 2016-08) - **General Omar Bradley Historical Research Fellowship** — General Omar Bradley Foundation (issued 2016-05) - **AP Scholar with Distinction** — College Board (issued 2013-05) - **President's Volunteer Service Award (Gold Level)** — President Barack Obama (issued 2011-09) - **A Lesson of Leadership Written in Blood** --- Source: https://saywise.com/member8685 (last modified 2026-10-05T19:45:15.460Z)