Hahnbee Lee
Co-Founder at Mintlify
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolHahnbee Lee is a Silicon Valley–based engineer and entrepreneur with six years of full-stack experience and a track record of shipping developer-facing products. As Co-Founder of Mintlify, he leads work on an AI-powered documentation writer and the VSCode extension, contributing across front-end and back-end systems to improve UX, API integration, and language-specific tooling like Javadoc. His background ranges from product-focused roles at Cornell Design & Tech Initiative and Duolingo to hands-on engineering at startups and enterprises where he built components, APIs, and automation that sped delivery and collaboration. An active open-source contributor, he has merged UI and monitoring improvements in data tooling projects and brings a maker’s mentality informed by YC and Cornell CS training. Not obvious at first glance: he blends product management chops with deep implementation experience, often tackling both UX polish and backend error-handling in the same sprint.
6 years of coding experience
3 years of employment as a software developer
W22, W22 at Y CombinatorUndergraduate Computer and Information Sciences General, Undergraduate Computer and Information Sciences General at Cornell University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
javascript10
typescript10
vscode-extension10
typescript-types10
html10
typescripts10
documentation10
apim9
api9
backend8
utility8
back-end-development8
dbt7
machine-learning7
data-analysis6
Programming languages (10)
Github contributions (5)
mintlify/writer
Jan 2022 - Jun 2022
✍️ AI powered documentation writer
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:13 reviews, 61 commits, 30 PRs in 4 months
Contributions summary:Hahnbee primarily focused on enhancing the Mintlify Writer VSCode extension, making contributions to both the front-end and back-end components. They implemented new features, such as DocBlock and Javadoc integrations, and refactored existing code to improve functionality. The commits reveal work on UI insertion, API integration for documentation generation, and adjustments to improve user experience within the VSCode environment. Furthermore, the user addressed issues like error handling and improved user messaging.
ai-poweredproductivityvscode-extensionmachine-learningintellij-plugin
elementary-data/elementary
Jul 2022 - Jan 2023
The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
Role in this project:Front-end Developer
Front-end DeveloperContributions:49 commits, 7 PRs in 5 months
Contributions summary:Hahnbee primarily merged branches into the master branch, indicating integration of work. Their commits focused on modifications within the `monitor/index.html` and `elementary/monitor/data_monitoring/index.html` files. These changes included updates to the HTML structure and the addition of JavaScript code, suggesting UI improvements or feature implementations within the monitoring interface.
data-observabilityobservabilitydbtdata-catalogdata-warehouse
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.