gpt-emacs-macro VS datasette

I wrote a quick integration to the GPT-3 API to Emacs [0]. Although it's a very simple implementation, it's made many small things I would've previously done manually much quicker (ie - one-off calls to convert a hyperlink in X format to markdown; abbreviate first names of author lists of papers; convert some "text message speak" messages into a paragraph).

[0] https://github.com/samrawal/gpt-emacs-macro

I made something similar for emacs and it unlocks what I think of as “semantic macros” — being able to interface with GPT-3 for actions that are a tiny complexity level above what I usually use kbd macros for (like smart capitalization) easily become possible to automate!

Screenshot - https://twitter.com/samarthrawal/status/1591527892386734081

Code - https://github.com/samrawal/gpt-emacs-macro

Thanks! It's available here -- https://github.com/samrawal/gpt-emacs-macro

Simon Willison's github would be a great place to get started imo -

https://github.com/simonw/datasette

I'm a fan on simonw's datasette/dogsheep ecosystem https://datasette.io/

I use Anki the exact same way. After a lifetime of learning I have accepted that I will never read over anything I write for myself voluntarily - so my two options are:

1. Write an article so good I can publish it and look it over myself later on. I did this last year with https://andrew-quinn.me/fzf/, for example.

2. Create Anki cards out of the material. Use the builtin Card Browser or even https://datasette.io/ on the underlying SQLite database in a pinch to search for my notes any time I have to.

Were you aware of, or tempted by https://datasette.io/ for creating your solution?

Browsing HN, GitHub and the like we get to see a huge variety of software products and code bases.

I often see products and think - if this product X, got together with Y, it would be pretty cool - kind of like if they had a kid together.

Not too literally, but more on the conceptual level - my level of programming is low.

E.g. Just some....

- pocketable.io & datasette (+with some more charting) [https://pocketbase.io, https://datasette.io]

You might like the Datasette project: https://datasette.io/

I don't think they are desperate for contributions but it's a welcoming environment and a fun project to hack on. You'll learn a lot just from reading the source and the incredibly informative PRs. The creator is a really talented developer with a great blog which shows up on the HN front page often.

Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.

> uploads of boring raw excel data and receive a nice UI

https://datasette.io/