John Egan is a product- and growth-focused engineering leader with 15 years of experience scaling multi-disciplinary teams across machine learning, infrastructure, backend, mobile, web, and data pipelines. He has led high-impact growth organizations at Pinterest and Lyft—driving Pinterest from ~291M to 450M+ MAU and growing SMB advertisers 5x—and now works on growth at Anthropic. Known for combining product strategy with technical execution, he has built growth platforms, performance marketing engines, and ML-driven notification and targeting systems that moved tens of millions of users. He has scaled organizations to 100+ engineers, driven hundreds of millions in incremental revenue, and holds practical startup chops as an advisor, investor, and early engineer at companies like shopkick. A frequent guest lecturer and author on growth engineering, he also publishes a growth-focused blog (jwegan.com) that surfaces tactical learnings from production systems. Based in San Francisco with MS and BS degrees from UC San Diego, he blends academic rigor with hands-on operational experience.
A simple Python framework to catch exceptions, figure out which developer wrote the buggy code, and send them a stacktrace
Contributions:138 commits, 4 PRs, 25 pushes in 7 years 5 months
figurepythonexceptionspython3buggy
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