Tim Glaser is a founder and full-stack engineer with 10 years of experience, serving as CTO/co‑founder at PostHog and contributing broadly to its flagship open-source analytics platform. He pairs front-end polish—implementing UI components, pricing pages and documentation—with backend work in Python, JavaScript and TypeScript, shipping features like annotations, demo data for Hogflix, and API/performance fixes. Tim has hands-on experience with session recording, autocapture, feature flags and integrating observability tools such as Sentry, demonstrating a pragmatic focus on product reliability. Equally comfortable editing docs and tweaking CSS as he is diagnosing backend performance, he brings a product-minded design sensibility to infrastructure-level problems in a widely used open-source project.
🦔 PostHog provides open-source web & product analytics, session recording, feature flagging and A/B testing that you can self-host. Get started - free.
Role in this project:
Back-end Developer & Full-stack Developer
Contributions:574 reviews, 1503 commits, 2295 PRs in 3 years
Contributions summary:Tim's contributions focused on enhancing the PostHog platform, mainly by implementing new features and improving existing ones. This involved adding demo data to the Hogflix feature, implementing the ability to build and manage annotations on the dashboard, and fixing various performance issues throughout the platform. The user also made various other small bug fixes and improvements to the system, including adjustments to API endpoints. The changes are in Python, Javascript, and Typescript.
Send usage data from your web app or site to PostHog, with autocapture.
Role in this project:
Front-end Developer
Contributions:18 reviews, 125 commits, 79 PRs in 2 years 10 months
Contributions summary:Tim primarily focused on front-end development tasks within the JavaScript-based PostHog library. They addressed a cookie-related bug on Heroku applications and fixed issues related to Turbolinks integration, ensuring proper functionality within the framework. The user also implemented feature flag support and integrated Sentry for error tracking, indicating a focus on improving the library's reliability and features. They also made changes related to autocapture and session recording.
analyticsjavascriptnpmusage-datatypescript
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