What does HackerNews think of papers-we-love?
Papers from the computer science community to read and discuss.
https://jeffhuang.com/best_paper_awards/
And here's PapersWeLove Repo with similar sauce
I don't think the term 'algorithmics' appears very often in publications, it's more of an umbrella term for many things. The stuff we work in our group is sort of the practical side of theoretical computer science, in that our focus is on algorithms that can be efficiently implemented and don't just look good on paper. The methodology is called Algorithm Engineering, it's described quite well in https://en.wikipedia.org/wiki/Algorithm_engineering. Apart from ESA's track B, the major conferences there are Alenex and SEA (Symposium on Experimental Algorithms). All three are open access.
It's difficult to recommend anything in particular, not only because the scope is very broad, but also because most papers aren't written for a wide audience. Good writing is not something that academics optimize for (perversely, good writing can be seen as a negative point, in that if a paper is easy to understand, it may be rejected for being too simple), nor is it taught. Maybe something like https://github.com/papers-we-love/papers-we-love could serve as a starting point?
It also has a community built around it so you can meetup with others interested in the same thing http://paperswelove.org/
https://github.com/papers-we-love/papers-we-love
But I think these are papers written by Baker, rather than recommended by him.
Though Lambda The Ultimate (LtU) is officially a blog, it does have comments and it might be interesting for you. From their FAQ:
>"Mostly this site deals with issues directly related to programming languages, and programming language research. However, we allow ourselves moderate forays to bordering issues like programmability and language in general."
http://lambda-the-ultimate.org/
Your desire to avoid "web-based" stuff suffers from the fact that such large swaths of tech today are "web-related" in some way.
Your desire to avoid "compsci basics" suffers from the "News-To-Me" problem.
Your desire to find "how X works inside" type content seems quite similar to "how X works _in_ _practice_".
Given the above, I'd suggest reading current research papers. The trouble with research papers on HN is, papers take more time and effort to read, so they rarely get significant attention or useful discussion.
Using Algolia HN Search can uncover some research. Stuff like "[pdf]" files, common sites, organization names, journal names, and even conference names can be useful:
[pdf]
arxiv.org
plos.org
usenix.org
JMLR
OSDI
CVPR
ICML
https://hn.algolia.com/?experimental&sort=byDate&prefix&page...
https://hn.algolia.com/?experimental&sort=byDate&prefix&page...
One of the better efforts I've seen so far on the research paper front is "Papers We Love":
https://github.com/papers-we-love/papers-we-love
The trouble with "Papers We Love" is you need to live in one of places where the physical meetings happen, and you need to be able to get to said meetings. If you're home bound, then you're pretty much stuffed.
Good Luck
website URL: http://paperswelove.org/ Search: http://findpaperswelove.com/
Also Its been the meta to use a Github repository.