marcoglauser

Thank you for building and maintaining PRQL! I'm surprised to hear that growth stalled due to LLMs.

I just found out about PRQL yesterday! I was looking for a query language that is more token efficient and easier to reason about for LLMs than SQL.

PRQL looks amazing for data analytics agents. Our first few test are quite promising.

I also really appreciate the python bindings. We don't give our agent direct access to the database, we only provide the schema information. The python api makes it super easy to convert a query into an AST, which lets us do some basic offline validation of table names, etc.

I'm honestly confused why local nvme disks haven't become the standard for cloud offerings a long time ago.

Aiven (not working for them, just a happy client) started offering local nvme disks for their postgres service in 2017. (https://aiven.io/blog/larger-and-faster-aiven-postgresql-pla...)

Back then I was sure it was only a matter of time for other hosted database providers to move on from EBS. But until Planetscale made a lot of noise about Metal no one seemed to bother.

It still matters who holds your data. Yes they can't read it, but they can hold it ransom. What if the US decides it wants to leverage the backups in tariff negotiations or similar? Not saying this would happen, but as a state level actor, you have to prepare for these eventualities.

Final assembly in the US would probably be more expensive due to the following reasons:

1. Parts would still have to be imported. So each part will have tariffs added.

2. Some parts are sourced from China and would therefore face even higher tariffs.

3. Spinning up a final assembly in the US is expensive.

Given the current instability and chaos, starting a multi year project of spinning up a final assembly in the US is a risky move.

What if the tariffs are gone in 4 years? Now you have an expensive final assembly in the US that can't compete with the one in Taiwan anymore.