s4
hnrss
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
s4
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Ask HN: Does (or why does) anyone use MapReduce anymore?
the idea of map reduce remains a good one.
there are a number of interesting innovations in streaming systems that followed, mostly around reducing latency, reducing batch size, and alternate failure/retry strategies.
even hadoop could be hard to debug when hitting a performance ceiling for challenging workloads. the streaming systems took this even further, spark being notorious for fiddle with knobs and pray the next job doesn’t fail after a few hours, again.
i played around with the thinnest possible map reduce stack a while back[1][2]. i wanted to understand the performance ceiling for different workloads without all the impenetrable layers of data bureaucracy. turns out modern network and cpu are really fast when you stop adding random software layers like lasagna.
i think the future of data, for serious workloads, is gonna be bespoke. the primitives are just too good now.
1. https://github.com/nathants/s4
2. https://github.com/nathants/bsv
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How fast are Linux pipes anyway?
pipes are great. is the other process on another cpu or another machine? honestly who cares.
https://github.com/nathants/s4/blob/master/examples/nyc_taxi...
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Learning Go as a Python Developer: The Good and the Bad
i dragged my feet on go for a long time. i also thought that skipping go and moving to rust was the play. a few years later, i still write python often, but i don’t build systems with it. python i now use like bash, to glue things together and automate random things. it’s a fantastic language and i will never drop it.
the verbosity of go is the biggest hurdle for a pythonista. the thought of giving up context managers, decorators, iterators, comprehensions, exceptions, coroutines, it’s unthinkable. in comparison go is ugly. your aesthetic mind screams in protest.
write go full time. dive in. as months pass, not only will those aesthetic objections fade, your mental model from python cleanly transforms to go. go is what mypy tried to be. the cost was aesthetic changes. the benefit is worth it.
the zen of python says if it’s easy to explain it might be a good idea. this is go, and it is.
i rebuilt a reasonably sized project from python[1] to go[2] over the last few years. i also have a system that i maintained both python[3] and go[4] implementations for, sharing a test suite in python.
go, like python, is fantastic. use both in whatever amount works for you. don’t read about them, build with them. you won’t regret it.
1. https://github.com/nathants/cli-aws/tree/bb78e529e7d1d3f95ac...
2. https://github.com/nathants/libaws
3. https://github.com/nathants/s4/tree/python
4. https://github.com/nathants/s4
- Ask HN: Have you created programs for only your personal use?
- Super Simple Storage Service (S4)
hnrss
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Ask HN: Have you reduced technical knowledge contributions?
That’s interesting.
I have predictive models that can predict if a headline (w/o the rest of the article and not considering the URL) will (a) get more than 10 votes and (b) if it does get more than 10 votes will the votes/comments ratio be more than 2 (which is roughly average)
The first model gets a ROC-AUC (see https://scikit-learn.org/stable/modules/generated/sklearn.me...) in the low 60’s (not good, the second model gets in the low 70’s (actually pretty good though it is a heat seeking missile for clickbait headlines) and my latest content-based recommender for RSS items gets almost 80. (I saw a paper that one system at TikTok gets about 85)
To do all that you need about 10,000 headlines and don’t get a lot of benefit from having more than 100,000. The ceilings on performance have more to do with the nature of the problem rather than my models: the same article can get submitted twice and get 0 votes one time and 200 the other time so it can never be as accurate as “is this an article about galactic astronomy?”
I had it ingest the HN comments firehose and found the amount of articles was overwhelming, my YOShInOn RSS reader now ingests the “best comments” from
https://hnrss.github.io/
together with 110 other feeds and actually I like the comments it picks out a lot. Now that the system is adding about 3000 items per day it might be able to handle a big feed like the comments firehose since now those comments are diluted with so many quality articles. For a problem like that you might want a two-score system with: (i) is it relevant? (something I like) and (ii) is it popular? (like Google’s PageRank)
I think you could make a model that compares comments in the best comments feed with other comments. I have tried formulating the problems above as regression problems where I try to predict the actual score and it does not work well because of the uncertainty problem but formulated as a classification problem for a score over a threshold it is easy to make a well-calibrated model that tells you “this article has a 20% chance of frontpaging” which is about the best anyone can do.
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Ask HN: How can I get rid of addiction to HN?
Subscribe via rss, so you can scratch the curiosity itch and each the FOMO, without coming to the site all the time and looking over the same things 20 times?
https://hnrss.github.io/
- Show HN: Hacker News Outliers
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Ask HN: Is There an HN Reader and Filter?
https://news.ycombinator.com/item?id=9491978
and this https://hnrss.github.io/
ps i’m ok with some % of false positives, but hopefully a sprinkle of OpenAI could keep that magically low?
thanks
- Orange Site Hit
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RSS can be used to distribute all sorts of information
It sounds interesting but I use https://hnrss.github.io/
Unless it had most of the features of hnrss.org I would not be able to use it.
Perhaps you could pivot your approach and submit a PR to hnrss for the feature?
- Ask HN: Who is hiring? (October 2023)
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Tell HN: There is a new highlights page on HN
Looks like there's an unmerged PR on the third-party hnrss project that would add this: https://github.com/hnrss/hnrss/pull/84
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Why your blog still needs RSS
Check out below link to get a more customized, topic wise rss feeds.
https://hnrss.github.io/
- Ask HN: Is there a way to “filter” the posts on HN
What are some alternatives?
epanet-js - Model a water distribution network in JavaScript using the OWA-EPANET engine
rss-proxy - RSS-proxy allows you to do create an RSS or ATOM feed of almost any website, just by analyzing just the static HTML structure.
fastmod - A fast partial replacement for the codemod tool
newsboat - An RSS/Atom feed reader for text terminals
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
hackernews-TUI - A Terminal UI to browse Hacker News
wsl-ssh-pageant - A Pageant -> TCP bridge for use with WSL, allowing for Pageant to be used as an ssh-ageant within the WSL environment.
fraidycat - Follow blogs, wikis, YouTube channels, as well as accounts on Twitter, Instagram, etc. from a single page.
ppp_thing - A poorly written, minimum viable PPPoE client with session handoff between redundant FreeBSD routers
ALL-about-RSS - A list of RSS related stuff: tools, services, communities and tutorials, etc.
polybar-clockify - Control Clockify through Polybar
Hacker News API - Documentation and Samples for the Official HN API