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It seems like a very polished and better integrated version of https://www.when2meet.com/.
You say you do not collect info. Are you saving the meeting details and availability in a database?
I was actually surprised at Google's willingness to offer Gemini 2.5 Pro via AI Studio for free; having this was a significant contributor to my decision to cancel my OpenAI subscription.
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What on earth are you talking about? Ban and censor? Ban from what, and how? And censor? This is the government, not Facebook or Twitter/X etc.
This idea that the federal government is both incompetent and at the same time conspiratorial and all up in everyone’s business is nuts.
How many from USDS are left after this group of resignations?
Judges are acting to stay executive orders, but judicial processes are deliberately slow and the current administration seated several current Supreme Court judges.
Civil disobedience and mass unrest seems inevitable when the rule of law and balance of powers is systemically undermined.
I've been using Electric SQL but Automerge 3.0 seems to be the holy grail combining local first approach to CRDT?
Wondering if I should ditch Electric SQL and switch to this instead. I'm just not sure what kind of hardware I need to run a sync server for Automerge and how many users reads/writes it can support.
ElectricSQL is pretty good too but its still not quite there and implementing local first means some features related to rollback are harder to apply.
I'm still very new to this overall but that 10x memory boost is welcome as I find with very large documents the lag used to be very noticeable.
> In Automerge 3.0, we've rearchitected the library so that it also uses the compressed representation at runtime. This has achieved huge memory savings. For example, pasting Moby Dick into an Automerge 2 document consumes 700Mb of memory, in Automerge 3 it only consumes 1.3Mb!
> Finally, for documents with large histories load times can be much much faster (we recently had an example of a document which hadn't loaded after 17 hours loading in 9 seconds!).