I'm working on a language learning framework based on the ideas of comprehensible input and spaced repetition learning.

The idea is you take a book you want to read, and it gets translated but also rewritten to match your current learning level. And as you read/listen it introduces new words to learn, reinforced by spaced repetition.

We're taking a trip to France this summer and I'm hoping to have something usable for at least a couple months before we go.

Currently working on the mechanics of extracting content from ebooks.

That sounds really interesting. I have a similar project, albiet pretty small. I want to generate comprehsnible input stories for the user say with 98% known words and 2% unknown words. Instead of rewriting stories though, I thought of having compiled list of books with say a book's top 1000 common but unique words, then you can add it to your desk and have those be generated in stories. That way once you complete the deck, it will be a lot easier to read your target book. I was looking into using numPy for that, not sure if you are using Python but it might be worth looking into.

Same in Oregon. Snowpack way below normal.

Canned beans are already cooked, so add them at the end to heat through. Or, start from dried beans, but it takes experimentation to get them to the desired texture.

Starting with red beans from scratch is on my list. I was hoping to get 80% of the taste with 20% of the effort -- seems like a simple enough dish, after all -- but last night I was watching a video of a guy making his own coconut oil (not just milk) from fresh coconuts, and it's clear I'm going off the deep end.

If you have GitHub copilot you can create github issues and assign them to copilot. All you need is a browser.

A lot of backwards looping is a remnant of efficient loops in programming days of yore - you compare your iterator to 0 each time, which is slightly more efficient than comparing to another variable.

We've been using Dato for 5 years or so - a bit of a weird use case probably, we're driving configuration of our internal EHR with it. But it is very nice for creating a structured set of data models and then you've got a nice UI to input the data and a nice API for grabbing the data, all of which the engineering team didn't need to build.

It's been rock solid for us.

As an actual customer, I have the opposite reaction. They are doing well and that gives me peace of mind.

Also a customer here, DatoCMS is fantastic product. We run hundreds of sites on their platform. Their team also works with you on pricing as you scale.

Not in my experience at all. Very solid product but incredibly frustrating trying to negotiate / get a bit of wiggle room in regards to pricing.

My plan auto-renewed for 2026 but it's become a priority to move everything off of Dato to another CMS for 2027.

We recently started using DBOS for durable execution - it's much easier to integrate than Temporal and it Just Uses Postgres(tm), which is nice.

Have you compared with LittleHorse.io? Seems like that would be durable and easier for workflows and retries etc

First time hearing of it.

At first glance it looks more complicated than DBOS, not easier. DBOS is just a library and doesn't require a special DSL.

Also we use node which it Little horse doesn't seem to support.

Another happy DBOS user here. It slides right into our existing Postgres usage and has a simple Go SDK.

I've been using Restate for durable execution. The TypeScript SDK was easy to use.

I looked at lustre for a recent project and it seems very nice. But the ecosystem is pretty small yet (I could find no examples of auth, for one), so I ended up going with liveview.

I'm hoping it succeeds and gets bigger because I really like its ergonomics.

You don't have to be rich to move to Europe. The cost of living in most European countries is less than the USA (which you would expect, given their lower salaries).

The need to be rich comes from the need to get a visa, language training, and rebuild your social structure. Also, the cost of living is nothing to sneeze at if you are a city person.