indie-stack VS datasette

Remix Indie Stack! https://github.com/remix-run/indie-stack

I'm building an app using fly.io and SQLite and it's pretty interesting.

this indie-stack shows how to use the remix framework, fly.io, SQLite and Prisma together.

https://github.com/remix-run/indie-stack

I think fly.io will only expand their SQLite features with the creator of Litestream onboard. Exciting stuff!

https://fly.io/blog/all-in-on-sqlite-litestream/

I bootstrapped a new Remix app using the Indie Stack which already has tailwind installed as we are going to use it in this exercise.

remix-run/indie-stack - The Remix Stack for deploying to Fly with SQLite, authentication, testing, linting, formatting, etc

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/