Google Code Jam Archive
Hi HN, As many of you already know, Google has discontinued their coding competitions and is shutting down the competitions website. Before it's gone forever, I've scraped everything I could from their website and set up my own archive. (Disclaimer: I'm not affiliated with Google besides participating in these contests years ago) While the initial version was ready back in March, today I'm rolling out big and hopefully the final update, so this might be a good time to share it with the HN community. Everything is static HTML and SQLite archives (with a very minimal backend to serve files…
In plain words
The Google Code Jam Archive is a preserved collection of coding competition data from Google's discontinued programming contests. It contains 3.5 million source code files scraped from the original website before shutdown, stored as static HTML and SQLite databases for easy access and download. Designed for programmers, researchers, and developers interested in competitive programming problems and solutions, the archive serves as a historical record and potential training dataset for future projects.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN, As many of you already know, Google has discontinued their coding competitions and is shutting down the competitions website. Before it's gone forever, I've scraped everything I could from their website and set up my own archive. (Disclaimer: I'm not affiliated with Google besides participating in these contests years ago) While the initial version was ready back in March, today I'm rolling out big and hopefully the final update, so this might be a good time to share it with the HN community. Everything is static HTML and SQLite archives (with a very minimal backend to serve files directly from SQLite), so you can easily grab your own copy. May these 3.5 million source files be a nice training dataset for some fancy future AI! Some useless stats: Tabs or spaces? 28% tabs vs 72% spaces for the whole dataset, but quite unexpectedly, 66% tabs vs 34% spaces if we consider only the final rounds. Most used languages: 63% C/C++, 20% Python, 12% Java, 2% C#, with others less than 1% each. For the final rounds it's 83% C/C++, 13% Java, 2% Python.
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