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@JFWooten4 What a fantastic idea! This would be really exciting episode to listen to, I'd love to hear about their experiences throughout the platform's development cycle. Perhaps (thinking selfishly here) they might have a tip or two on how to use ML to improve the accuracy of our data scraping methods. @apes-on-parade was able to extract data from 10K filings to grab record holder information; an impressive feat that generated lots of data points, but came with the time-consuming task of filtering out the inaccurate responses. I really appreciate all the outreach you've been doing, it's amazing to see you work in real time to try and establish connections/collaborations that just make sense. |
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Any feedback from this team? Love the idea! |
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@JamesAlfonse mentioned in WhyDRS/Newsletter#5 (reply in thread) a popular GitHub org with hundreds of members and over 100k stars with thousands of contributors.
I reached out to their GitHub admin team email to see if they'd be interested in sharing their management techniques. Fingers crossed they can share some of their thoughts to build on our discussion in this week's DUNA chat.
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