rococosbasilisk

No worries Carl, cheers!

Phillip from PowerSync here, always good to see more people working on problems in this space.

A few things to clarify:

>one multi-tenant centralized db to bidirectionally sync

PowerSync supports syncing from multiple databases.

>The downside is complexity.

I'd say this is true if you're building a partial replication system yourself. PowerSync gives you a ready-built system that's been proven at scale and therefore lets you avoid most of that complexity.

>SQLSync, on the other hand, is full db sync.

It's just as easy to sync the full db with PowerSync as do partial sync.

Edit: formatting

Congrats to the team. I'm on the team over at https://powersync.co and have been following this space for a while.

PowerSync is also a plug-in sync layer. The biggest difference I see is in Electric's use of CRDTs, where we don't rely on them and instead use server reconciliation.

As a team that's been working on online/offline sync for just over a decade, it's great to finally see more products that enable offline-first architectures!

OP here – Supabase fans have been asking for something akin to Firebase Firestore's (limited) automatic offline support. We've gone a step further and built a SDK with embedded local database as well as a sync service that plugs into Supabase.

It's available to try out here (free): https://docs.powersync.co/integration-guides/supabase-+-powe...

Pharaoh was developed by Impressions Games which was bought by Sierra On-Line in 1995. It remains one of the best historical strategy games ever made. Its cinematics were extraordinary for a game turning 21 this year (https://www.youtube.com/watch?v=1u0js7at9uc)

Tom Scott has a great video on his "Oh Shoot" moment (https://www.youtube.com/watch?v=X6NJkWbM1xk).

Thinking back on the times I've had code exist nowhere else but the clipboard...

I would love to understand whether the fact that I feel more focussed listening to this is pavlovian or soundwave-related.

"Power, Process, and Automated Decision-Making" by Ari Ezra Waldman is a good discussion on how biases manifest in algorithmic decision-making. I agree that an algorithm would be agnostic to the data, but that biases inherent in the data would be cemented, not overcome, by agnostic algorithms.