[sed3]

I have a bit different workflow:

- in first step I "tag" urls I like (in rss reader, HN, twitter, pdfs, podcast...). It is very quick, I usually spend like 2 hours per week filtering news.

- latter I collect tagged urls (from email, notes and bookmarks) and feed them into batch job

- batch job downloads text form, and converts them into markdown. HTML are converted with Reader mode, videos have transcripts with time marks...

- this gets converted into new Obsidian vault and synced with Syncthing across my devices.

- there is AI job that does some annotation and linking with existing notes.

- over next weeks (usually two) I slowly "digest" content, read it, and annotate. At end it becomes integrated into my Obsidian notes. I can copy&paste and write directly into articles.

It is very natural process for learning. I spend minimal time dealing with junk content, clickbait, ads... And it works for all types of content including video and PDFs. And offline absolutely rocks!

[potatoball]

Do you mind elaborating on your process for ‘tagging’?

I’ve been looking for some type of solution to send a url to something which can then scrape the URL.

Currently my process is to just send it to myself on a self hosted Zulip server (Slack like alternative) but I find it a bit cumbersome.

I’ve been considering an email based system after reading a blogpost from Stephen Wolfram someone posted recently here but I‘ve been looking for what others have done as well.

Aforementioned blogpost: https://writings.stephenwolfram.com/2019/02/seeking-the-prod...

[sed3]

It is not really automated, more like a few places where I collect links from:

* starred items on FreshRSS, I have a script that can extract them and reset.

* email folder in Thunderbird. On Android I use "Share as" and send emails to myself

* Bookmark folder in Brave. This gets synced from all my devices

* Paper notes with timestamp on youtube videos and podcasts. I like to listen while running, this is simple stupid method. I would like some sort of "clicker", where I just press button to tag timestamp and video, but never got time to do that.

* Paper notes with quotes from books and other PDFs I read. I have to manually find relevant URLs. This will feed new books into my system.

* Google Keep snippets. I never degoogled myself, this is pretty nice app.

* Photos from my phone. I go through that periodically.

Every a few days I go through all of that, and compile it into list of URLs. Some of that is automated (FreshRSS, Google Keep), but it is manual job.

Downloading and processing with LLM takes about two days (I use CPU, about 1000 articles weekly). I run that on my laptop over weekend. LLM generates keywords and links it with my existing notes. Larger documents have summaries with links.

[hobo_mark]

Are you some sort of writer/reporter or is this all for entertainment?

[sed3]

Software consultant. I like to group topics (like new Kafka release) together and read it all at once, rather than slow trickle over two weeks. I also like to have my sources directly linked with notes. Offline archive is just easiest way.

I started working on my own system after Google Reader shutdown in 2013. And I really hate ads.