Serial Entrepreneur & AI Engineer

Quanlai Li

Author of How to Win GEO, a comprehensive guide to Generative Engine Optimization. BuildingChatSlideChatSlide.AI, an AI-powered tool that transforms how we work and create. Also operating PageGunPageGun, hosting VibeHacker.fmVibeHacker.fm, and angel investing in early-stage startups. Specializing in Generative Engine Optimization (GEO) and writing about emerging AI technologies and their impact on search and content optimization.

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The path to AGI isn't simply about scaling parameters, but about creating systems that understand causality, abstraction, and emergent behaviorβ€”much like how human cognition evolved not just through neural density but through structured models of reality.

β€” My perspective on intelligence

Quanlai Li
AI Engineer
Entrepreneur
ChatSlide.AI
Former @Uber @Lyft
Years Experience
8+

About MeπŸ‘¨β€πŸ’»

Personal Background

I'm a serial AI founder and writer specializing in Generative Engine Optimization (GEO). As the author of How to Win GEO, I write about emerging AI technologies and their impact on search and content optimization. Currently building ChatSlide, an AI-powered presentation tool, and operating PageGun, a web development platform.

With a strong foundation in computer science from UC Berkeley, I combine technical expertise with business acumen to create innovative solutions that solve real-world problems.

Technical Skills

Artificial IntelligenceMachine LearningDistributed SystemsPythonTypeScriptReactNode.js

Education

  • University of California, Berkeley

    Computer Science πŸ–₯️

  • Zhejiang University

    Computer Science πŸ–₯️

Professional JourneyπŸ’Ό

✨
Present

ChatSlide (formerly DrLambda)

CEO & Founder

Leading an AI-powered platform for creating professional slides and videos. ChatSlide uses advanced AI to transform text into visually appealing presentations, launched on Product Hunt in April 2024 and recognized as Product of the Day.

πŸŽ™οΈ
May 2025 - Present

VibeHacker.fm

Host & Creator

Hosting and producing a podcast that explores the intersection of technology, culture, and human experience. Engaging in deep conversations about AI, innovation, and the future of technology.

πŸ“ˆ
Previous

Robinhood

Software Engineer

Developed high-performance trading systems and contributed to the scalability of Robinhood&aposs financial technology platform, enabling millions of users to access the financial markets.

πŸš—
Previous

Lyft

Software Engineer

Worked on large-scale distributed data systems, contributing to Lyft&aposs technical infrastructure and data processing capabilities.

πŸš•
Previous

Uber

Software Engineer

Developed systems and solutions for Uber&aposs data infrastructure, leveraging expertise in distributed systems and computer science.

Research PublicationsπŸ“š

πŸ“–

How to Win GEO

2025

Quanlai Li, Sergii Molchanov

Book

Abstract

A comprehensive guide to Generative Engine Optimization (GEO), teaching how to succeed in the era of AI-optimized search. This book combines cutting-edge AI entrepreneurship insights with extensive business development and innovation experience.

Show abstract
Learn more
πŸ”

Detecting Similar Repositories on GitHub

2017

Y Zhang, D Lo, PS Kochhar, X Xia, Q Li, J Sun

IEEE SANER

124 citations

Abstract

The number of repositories on GitHub has grown significantly over the years. Many of these repositories are similar, e.g., they implement the same functionality or are forks from the same repository. To help users explore similar repositories on GitHub, in this paper, we propose an approach that can automatically detect similar repositories.

Show abstract
View paper
πŸ”—

Towards Trusted Social Networks With Blockchain Technology

2018

HW Yize Chen, Quanlai Li

Symposium on Foundations and Applications of Blockchain

35 citations

Abstract

This paper explores how blockchain technology can be leveraged to create more trusted and secure social network platforms, addressing issues of data privacy, identity verification, and content authenticity.

Show abstract
View paper
⚑

Scaling Up Deep Learning on Clusters

2017

J Xie

International Conference on Distributed Computing Systems

Abstract

This research explores efficient techniques for scaling deep learning training across computational clusters, addressing challenges in data parallelism, model distribution, and communication optimization for large-scale neural networks.

Show abstract
View paper

News CoverageπŸ“‘

πŸ”¬

SF Researchers Decode How LLMs Decide What to Mention

SF Bay Area Timesβ€’October 12, 2025

A San Francisco research team has investigated how Large Language Models (LLMs) determine which entities to mention in their outputs. The study reveals that small context shifts can influence whether a concept appears in text, even when the model already "knows" the information internally.

Read article
πŸ“°

Antler Toronto Nurtures Next Gen Founders: Brittany Jiao On Building GEO Startup

Montreal Timesβ€’October 11, 2025

The article profiles Brittany Jiao, an emerging entrepreneur at Antler Toronto developing Enception.ai, a startup focused on Generative Engine Optimization (GEO). It highlights her collaboration with Jakob Sol Strozberg and mentorship from Tammer Kamel, exploring how AI is transforming brand visibility and content discovery through innovative startup development in Toronto's AI ecosystem.

Read article
πŸ“š

Quanlai Li Launches "How to Win GEO," a Groundbreaking Guide to Generative Engine Optimization

Tech Bullionβ€’October 2024

Quanlai Li announces the launch of a groundbreaking guide focused on Generative Engine Optimization (GEO). This resource helps users understand and implement strategies for optimizing content for generative AI search engines, representing an emerging approach to digital marketing that addresses how content performs in AI-powered search environments.

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πŸŽ“

Quanlai Li and Stanford Researcher Sergii Molchanov Unveil "How to Win GEO," Defining the Future of AI Search Visibility

MetaPressβ€’October 2024

Quanlai Li and Stanford researcher Sergii Molchanov launch their book introducing Generative Engine Optimization (GEO), a new approach for enhancing visibility in AI-driven search systems like ChatGPT and Perplexity. The authors argue that as generative models reshape how information is discovered, brands and creators must learn to align their content with how AI systems interpret meaning, describing this as "a new literacy for the AI era."

Read article
🎨

Enception Uses Brand.dev to Make GEO Reports Clearer with Consistent Brand Visuals

Brand.devβ€’September 2024

Enception, a GEO startup, leverages Brand.dev to enhance their Generative Engine Optimization reports with consistent and professional brand visuals. This collaboration demonstrates how startups are using modern branding tools to create more compelling and clear presentations of complex AI search optimization data.

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Personal Interests✨

πŸ“Poetry

Poetry

Passionate about reading and writing poetry, exploring the depth of human emotions and experiences through words.

✍️Writing

Writing

Author of How to Win GEO, exploring the intersection of AI and search optimization through comprehensive guides and insights.

πŸ›οΈHistory

History

Deeply interested in historical events and their impact on society, culture, and technology.

✈️Traveling

Traveling

Avid traveler who has visited 28 countries, exploring diverse cultures, cuisines, and landscapes around the world.

🌈Equality Advocacy

Equality Advocacy

Advocate for equality and LGBTQ+ rights, working to create more inclusive and equitable environments.

πŸŽ™οΈPodcasting

Podcasting

Host of VibeHacker.fm, exploring the intersection of technology, culture, and human experience through engaging conversations.