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Since leaving Google / TensorBoard, I've been working on #sourcecred. SourceCred's goal is to recognize open-source developers and maintainers by assigning 'cred' to their contributions. Here's a development update from the past month.
1. @wchargin and built a new prototype, which ingests data from GitHub and Git into a large graph and runs PageRank on it. We wanted to check that we can scale in-browser PageRank to graphs with >100k nodes. The answer: we can! It's even quite fast.
2. Having de-risked one of our core technical challenges, we took a step back to refactor the architecture. At the start, we put all data - Git metadata, GitHub issue text, etc - into one data structure: the Graph. This proved unwieldy, and would make SourceCred hard to scale.
