Aiden Bai is a founder and full-stack engineer based in San Francisco with 21 years of hands-on experience building performant web interfaces and developer tools. He leads Million (yc w24), a project focused on high-performance UI patterns, and has a track record of shipping front-end optimizations and benchmarks that surface real-world rendering improvements. An active open-source contributor, Aiden has contributed to widely watched projects like js.org and the js-framework-benchmark, and built tools such as react-scan to detect slow React renders. His work blends practical UX polish—SPAs, D3 visualizations, LaTeX rendering—with low-level performance tuning, showing a rare mix of product-minded design and systems-level optimization. More active on X/Twitter, he networks publicly about performance and developer ergonomics while recruiting collaborators for Million.
21 years of coding experience
3 years of employment as a software developer
Computer Science, Human Computer Interaction, Computer Science, Human Computer Interaction at University of Washington
High School Diploma, High School Diploma at Camas High School
Scan for React performance issues and eliminate slow renders in your app
Role in this project:
Front-end Developer
Contributions:15 reviews, 32 PRs, 205 pushes in 3 months
Contributions summary:Aiden primarily contributed to the front-end development of the `react-scan` repository, which aims to identify and eliminate slow renders in React applications. Their work involved initializing the project and implementing UI components. Their commits also included adding styles for the application, which greatly enhanced the overall user experience.
🌱 a fast, batteries-included static-site generator that transforms Markdown content into fully functional websites
Role in this project:
Front-end Developer
Contributions:12 reviews, 16 PRs, 27 comments in 1 year 9 months
Contributions summary:Aiden primarily focused on enhancing the user interface and user experience of the static site generator. They implemented features related to SPA navigation using a library like million, added a graph visualization component using D3.js, and incorporated link previews and LaTeX rendering. The user's contributions include modifying various layouts, partials, and JavaScript files to support these interactive elements.
brainreacttailwindcsshugohost
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