Hey HN, this is a side project of mine. Had posted this before, but didn't get any attention, so trying again ;)<p>The idea behind this project is to track and tag high quality technical articles published by the engineering teams of various companies. Kind of like a "Product Hunt" for engineering blogs. We've limited ourselves to company published articles (for now). The whole process is pretty much automated, but all shortlisted articles do go through human eyes for a final quality check. We also run a mailing list and have a twitter account (<a href="https://twitter.com/discoverdev_io" rel="nofollow">https://twitter.com/discoverdev_io</a>) for those interested. Read our about page for more info : <a href="https://www.discoverdev.io/about" rel="nofollow">https://www.discoverdev.io/about</a>
Hi. Seems like an interesting project. Perhaps would be more interesting to HN users if you described how the algorithm worked? Or even better, published the algorithm/model as open source so others can learn from it? I'm genuinely interested in how curation can work in the absence of traditional search engine signals like links or social engagement numbers.