New ask Hacker News story: Tell HN: Poorly SEO’d tech is more searchable

Tell HN: Poorly SEO’d tech is more searchable
7 by dvrp | 0 comments on Hacker News.
When one searches what the DataTransfer object spec is in, the IANA article pops up and pretty much everything you need is there—or close. As soon as you look for React related or for certain trendy Pythonic Data Science things, you are going to do a lot more filtering to find what you need. To the point that empirical analysis or source code understanding may have a better return of investment for your time. Has this been the same for all of you? It certainly has for me. This probably has a name, but I like to call it the quality-redundancy paradox: if there is information abundance to the point of over-redundancy, the harder it is to find what you need[1]. I thought about this because of the Django Auth post and how the web has gone to JWTs instead of good ol’ sessions; or how people use React in ways that are embarrassingly similar to how PHP or Rails (used to?) work. I wonder if being aware of this phenomenon is something that experienced engineers take into account when choosing tools for the job. [1]: David Perell wrote something about this as well at https://ift.tt/pvr6jXh