Philip How is a Product Manager with 13 years of experience combining a strong technical foundation (MEng Computer Science, University of Warwick) and hands-on development contributions to notable open-source projects like Habitica and Forem. He has progressed from business analyst roles into senior product leadership across health-tech and community platforms, most recently at Cogna after roles at Unmind and Forem. Philip excels at translating complex system requirements into reliable, testable specifications and has directly improved backend notification, scoring, moderation and badge-awarding systems in production codebases. Known for bridging product strategy with engineering pragmatism, he brings measurable impact to moderation, engagement and growth features while keeping developer experience and API support front of mind.
13 years of coding experience
13 years of employment as a software developer
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at University of Warwick
Contributions:15 reviews, 44 PRs, 86 pushes in 1 year 1 month
Contributions summary:Philip primarily focused on back-end development tasks related to awarding badges and managing abuse reports within the Forem platform. Their contributions included implementing new badge awarding logic and modifying existing processes, as well as modifying the admin filtering options. The user also added support for the API and improved the user interface for the moderation center. Additionally, the user made changes to the page API, and added new features to the email digest functionality.
A habit tracker app which treats your goals like a Role Playing Game.
Role in this project:
Back-end Developer
Contributions:25 commits in 2 months
Contributions summary:Philip primarily focused on modifying and improving the notification system within the Habitica application. Their work involved changes to the `browser.coffee` and `scoring.coffee` files, suggesting an interaction with the application's user interface and scoring algorithms. Further contributions included algorithm adjustments and fixes to various scoring calculations, enhancing the overall functionality of the habit tracking system.
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