thank you!

"evo workspace merge" maps[0] to "git merge"

[0]: https://github.com/crazywolf132/evo/blob/main/docs/migration...

very impressed with the images generated by the model. great work!

Thanks!

love this idea! here's ghostty: https://gitdiagram.com/ghostty-org/ghostty

ghostty is sick, and the diagram seems accurate on a higher level

thank you and the community for the work. i hope to see blocks (not sure if this is a shell thing or a terminal thing) the same way warp does it :)

indeed.

i thought i didn't have any phobia until i had a single experience with an MRI machine with no sedation. i came out with mild claustrophobia that only time has been healing.

very surprised by all the infrastructure hosted in us central. the page claims codespaces is functional but it clearly is not. it fails at loading vscode after bootstrapping the environment.

Is it surprising?

Dallas, STL, KC, Chicago all count as central. More or less equidistant for east/west coast markets. Seems like natural edge node coordinates along the scale ladder.

"Central US" in this case, means the Des Moines, IA set of data centers.

https://datacenters.microsoft.com/globe/explore/

not sure how to use this app.

Absolutely no idea how to use the app either. It wanted me to type an s word? So I typed store and hit enter, it gave me the definition of store. Very very confusing workflow.

Also absolutely clueless how this relates to a LLM.

You look up a word in the dictionary and tap the heart next to its definition (as the tooltip suggests) to save it. The Hearts page (https://flowery.app/hearts) is your personal vocabulary list, and the Cards page (https://flowery.app/cards) generates cloze deletion flashcards for your hearts, which is where the LLM steps in.

Makes sense but I think the main issue with the workflow is that the user is having to type words out? As a vocab builder it would be nice to do more suggestive words or something that does not force me to type in words.

You can quickly populate the search box by tapping any word (or highlighting on desktop) in the hybrid dictionary/thesaurus.

As I mentioned in another comment though, the ideal workflow would be an integrated ebook reader that lets you tap words without context switching.

Glad I’m not the only one. I was left baffled at what I should be doing, thought it was because I was on my phone

very confusing UI

Scratchapixel and Rougier's Python OpenGL (https://github.com/rougier/python-opengl) are two books that i want to see completed one day...

great work on the first iteration!

Thanks! First time deploying a project like this on my own, so nervous to see how the users use it, or if they do it at all jeje