elliottwilliams

I've used emacs in a dev environment and about 5 years ago i carted my 3000 or so text files from vim/markdown to emacs/org-mode.

I agree, it is an amazing procrastination tool. My advice is to stick to spacemacs with very few configs. About a year ago i started from scratch with my .spacemacs. Now I've got about 20 lines in there, I use deft/org-roam/fira code, and org-attach and I think the less you fiddle the better off you'll be. Think of it like a 20 year old car-yes you can put a turbo in there, yes, you can chop the springs and lower it, but 1 there will be less people to help you when it breaks, and 2 it will break more often.

Honestly, org-roam is moving so fast that if you aren't in the slack or at least watching the commits, I'd think twice. I'm betting there will be breaking changes in the future, whereas deft is rock solid.

I've used both. The problem I had with ZD is that it uses a non-standard "ligature" (not sure what the non-coding term is) to identify zettels. This means lock in not just to emacs, but to a specific package. Org-roam OTOH uses standard org-mode notation, which means I can freely mix deft with org-roam or any other package that plays nice with org-mode.

I've known Steve for a long time in the pgh tech scene, and not knowing the exact reasons for this transition, I will say money has never been top of mind for him.

What would be more interesting to me would be a list of places/social media that my customers frequently visit, and then grab my company name on those sites. Plenty of times I've asked customer how they've heard about me, and then I race to that platform only to find out there are no good names related to my product left.

I think either way, satire or real, I'd toss a few fucks for entertainment value.

Sorry about not using the reply. I was wondering why my comment was on top.

Right now I've got some off the shelf NLP stuff that does Org and Name recognition to remove those things (I've been working on a similar project for a while). The lines should be trivial but not yet implemented. Most "get screwed" clauses don't have underlines as they are boiler plate.

Right now I'm banking on the fact that lawyers copy and paste. This is a fair assumption as they have "clause libraries" at all major firms.

In the future I'd hope to tie in the NLP stuff we've been working on to do fuzzy matching.

We're highlighting text we've seen before, so it should be easy to see which lines are actually unique text.

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