faenz
hnrss
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faenz
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Running a funny experiment with my free web-analytics
Two years back, I created a little web analytics tool for my side projects and I called Faenz. It's open source and self-hostable, available on GitHub at https://github.com/a-chris/faenz.
I've recently given it an update and came up with the idea of creating a demo version that's accessible to everyone.
How does it work?
You can add your own website, blog or e-commerce site and keep track of the visits it receives. Your website stats will be visible to others, and you'll get to check out everyone else's stats too. You won't be allowed to edit/delete a website, you should reach out to me for that.
I find it to be a fun experiment to see how people handle SEO or just to discover some cool new websites :)
The demo is available here https://faenz.acmecorp.dev/
- Il Garante della privacy Italiana dichiara lo stop all’uso di Google Analytics per il trasferimento dei dato negli USA senza garanzie adeguate
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Small tip to shrink your Docker images size
Here is the project I'm working on: Faenz Analytics
- Ask HN: Have you used SQLite as a primary database?
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Ask HN: Have you created programs for only your personal use?
I've built several personal projects to be honest; background jobs, tasks automation, telegram bots to find a house to rent or buy, most of them are kept provate.
The two I'm most proud of are a web analytics that, coincidentally, I've made public today after a few weeks of work:
https://github.com/a-chris/faenz
I developed it for collect data for my personal website and it is working well so far, really happy of it.
The other one is a Google Chrome extension to manage bookmark because I think the default one is a mess and very unpratical to use. I haven't worked on it for a while:
https://github.com/a-chris/peffect-bookmarks-manager
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?
termdbms - A TUI for viewing and editing database files.
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.
dqlite - Embeddable, replicated and fault-tolerant SQL engine.
newsboat - An RSS/Atom feed reader for text terminals
ws4sqlite - Query sqlite via json+http
hackernews-TUI - A Terminal UI to browse Hacker News
fraidycat - Follow blogs, wikis, YouTube channels, as well as accounts on Twitter, Instagram, etc. from a single page.
ALL-about-RSS - A list of RSS related stuff: tools, services, communities and tutorials, etc.
Hacker News API - Documentation and Samples for the Official HN API
NetNewsWire - RSS reader for macOS and iOS.
go-readability - Go package that cleans a HTML page for better readability.
Tiny-Tiny-RSS - A PHP and Ajax feed reader