"This service creates a Checkout UI for any valid 'nano_' or 'xrb_' address, for free. You can customize further with URL params or HTTP POST body data."
This is how I do it. I'm experimenting with using a TF-IDF
recommendation system to "categorize" everything so I can just think about what is interesting enough to not discard.
Then I can comeback to articles organized by keywords and take notes in obsidian when I'm digging deep.
I see two sides of this. There's information collection and knowledge keeping.
The information collection: When I'm learning new things and sorting by what is interesting I simple bookmark a lot of stuff. It could be a blog post, a research paper, a book recommendation etc. All this is raw information until I take the time to consume it and digest it. Here I use https://lxi.ai/ (disclaimer: I built this) to keep my bookmarks organized with a lil ML.
The knowledge keeping: While I consume/digest I take notes in obsidian. I like working in markdown and having everything stored locally is something that keeps me comfortable. The real key here is putting in the time and actually merging what I am learning with what I already have in my obsidian "second brain".
"This service creates a Checkout UI for any valid 'nano_' or 'xrb_' address, for free. You can customize further with URL params or HTTP POST body data."