lorenzotenti

The error is now fixed. It would be great if you could try it again! I'd love feedback on this project.

This is now fixed. Sorry about that, I'd love your feedback on the project.

No need to sign up to see the lists, in theory. The DB is currently down and I'm currently on holiday in China with only my phone :facepalm:

Ah, sorry about the error! I guess it could use some optimisation. It will remain free for the users. I haven't thought about monetisation but for sure it won't be on the final user. Either ads or sponsored places by companies etc. Similar to TripAdvisor

I built https://exploralista.io exactly for this use case. Still waiting for the universe to make up for my lack of marketing skills.

I have a GitHub action that runs every night. It uses Youtube API to fetch all the new videos in a curated list of channels and playlists, then selects some of the new videos and creates the schedule.

What really stands out is the difference in design philosophy. In London, the gates are normally closed and only open if your Oyster card is valid. In Tokyo, the gates are open by default and only close if your card fails. You don’t have to wait for doors to open and close every time—it just keeps the flow moving and feels way faster.

Is this a yoke?

_sorry_

Boox do something similar, with android

Maintenance is often the reason why people decide not to self-host. So maybe the future of SaaS is a hybrid one.

Any paper recommendations?

Are we repeating history though? I've worked for a company that used Oracle plsql for everything (shall we return html snippets from the database as a reactive frontend, why not!, the whole business logic is in huge stored procedures anyway) and it was clearly an utter mess. Now, new tools may make this better, but every time I see too much business logic getting close to SQL I get suspicious. Supabase is another example of doing everything with postgres. Sounds cool, but is it maintainable?

https://isitdns.com/

Big Data is Dead - Prompt Engineering - NoSQL misconceptions - There's an AI for that

You're right, but pandas today is used a bit everywhere, and in data pipelines too, even if it wasn't its main goal.

And Data-Centric AI!

Get the best of Data Engineering, MLOps, and Machine Learning Engineering delivered straight to your inbox.

It's a joke. Or at least I've interpreted it as such. Still true that you always spend more time terraforming the little things compared to what you expected.

What are the main causes for these differences? And why Italians always manage to be first in the worst ranking?

Very fun but not true, https://www.stroustrup.com/bs_faq.html#IEEE

very comprehensive