I do not know how to only display tech issues specifically, but someone recently posted uBlock addon filters [1] that can remove specific topics by keyword. I've modified mine a little. Adjust the keywords as needed.
After installing uBlock, go to add-ons -> uBlock Preferences -> My Filters
I've repurposed the same code for a few different projects such as a job search (e.g. I got the second job I applied for when I told them abut it)
I am thinking about getting it out of mothballs and making it reusable and more sustainable and also adding some kind of clustering engine. What I can't stand right now is the headline "Astronomers discover the closest black hole" from the Earth that has been heavily me-tooed for the last month to the point where I'm wondering if (1) the astronomers discovered another one or (2) if some people only read the news once a month.
Wow you put a lot of work into this. What motivated you? It's interesting that the submitter based model wasn't more successful. You'd think people would center more around niches.
but a lot of that turned out to be factually wrong. For instance that "Apple overload" was pretty temporary because Apple had made a wave of product announcements. Today people might claim about "Twitter overload" but it will be something else next month.
As for submitters I think that for what I am measuring the people who submit a lot of things and have high karma tend to be pretty average in what they submit since they've internalized some model of what does well on HN. I bet there are people with a very different profile but they would have fewer submissions so the model wouldn't be able to make strong conclusions... That logit model I used is well-calibrated and not prone to jump to conclusions if it has just a little bit of data.
With the right model and tools you might store something out. Overall I think my submissions are pretty average but I have a list of web sites that I scan and every day you'll notice I post something from The Cornell Chronicle, World Nuclear News, phys.org, arstechnica, arxiv, etc... Most superposters have an efficient strategy for posting a diversified selection of articles that have broad appeal.
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[ 1.1 ms ] story [ 31.6 ms ] threadAfter installing uBlock, go to add-ons -> uBlock Preferences -> My Filters
[1] - https://addons.mozilla.org/en-US/firefox/addon/ublock-origin...I've repurposed the same code for a few different projects such as a job search (e.g. I got the second job I applied for when I told them abut it)
I am thinking about getting it out of mothballs and making it reusable and more sustainable and also adding some kind of clustering engine. What I can't stand right now is the headline "Astronomers discover the closest black hole" from the Earth that has been heavily me-tooed for the last month to the point where I'm wondering if (1) the astronomers discovered another one or (2) if some people only read the news once a month.
https://ontology2.com/essays/HackerNewsForHackers/
but a lot of that turned out to be factually wrong. For instance that "Apple overload" was pretty temporary because Apple had made a wave of product announcements. Today people might claim about "Twitter overload" but it will be something else next month.
As for submitters I think that for what I am measuring the people who submit a lot of things and have high karma tend to be pretty average in what they submit since they've internalized some model of what does well on HN. I bet there are people with a very different profile but they would have fewer submissions so the model wouldn't be able to make strong conclusions... That logit model I used is well-calibrated and not prone to jump to conclusions if it has just a little bit of data.
With the right model and tools you might store something out. Overall I think my submissions are pretty average but I have a list of web sites that I scan and every day you'll notice I post something from The Cornell Chronicle, World Nuclear News, phys.org, arstechnica, arxiv, etc... Most superposters have an efficient strategy for posting a diversified selection of articles that have broad appeal.