choraria
Joined 6 years ago
Joined 6 years ago
On the static list, yes. Me too. But I keep updating mine as well. For ex: on day 1, "apple" was just a dictionary word. On day 2, it was also classified as a brand. Also, every quarter, half-yearly or yearly, there are newer companies, public figures whose usernames keep getting to be significant. Currently, though manually, I intend to maintain this list for the long run.
As for a better, permanent solution, on another comment, I came across using an LLM/classifer for this (based on my understanding, that's not just asking OpenAI but building an LLM of my own) where I have the "best" source of truth and the LLM handles all variations. I think it actually is solvable to an extent now. Though, I'm not sure what the final solution looks. I WILL SOLVE THIS THOUGH :D
Full disclosure: I'm not a developer. I understand tech architectures well. Can code (have coded in JS pre-AI too) BUT will figure this out as I go along. Thanks and truly appreciate the input.
Edit note: added million next to 1.7. fml!
As for @cocacola — that's on me. I've not yet gotten to the bottom half of the list of categories here: https://docs.username.dev/reference/categories (need to work on "government" and below). "company" is listed there and I suspect "cocacola" should be covered there.
In hindsight, I should've reserved names that I'm showing in the flipping text of the hero title but I didn't want to game the system or make it seem more reliant than it currently is. Which, again, I'm learning is not so reliant to begin with anyway.
PS. Love the passion around the topic here. One thing that I'm happy about is getting the problem validated. It's not in my head, I'm not the only one experiencing it, this is real. AND I WILL SOLVE IT :)