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.

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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.

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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“‘

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.