brain VS cuid2

for those researching this topic, I keep a list of these UUID/GUID implementations!

https://github.com/swyxio/brain/blob/master/R%20-%20Dev%20No...

here are my notes as someone who studied this stuff extensively for my book launch (just crossed $200k revenue) https://github.com/sw-yx/brain/blob/906dbc6fd6d22fa69968ebc6...

in generally for OP's stuff i would disagree on launching on product hunt first. PH is a giant pyramid scheme where people just compete for the #1 badge each day. what the most successful products do is launch everywhere else first, and then after a few months email their happy customers to support them on PH. this is why you are #20 because you didnt study the game

I've been collecting all my notes on UUIDs here https://github.com/sw-yx/brain/blob/master/R%20-%20Dev%20Not... in case it is helpful to anyone

(poster here)

these formats are not new new, but are still pretty new.

the context is i keep a list of uuid impls and knowledge for my own reference. posted this up today simply because I got a PR from some subscribers https://github.com/sw-yx/brain/pull/36

Putting together this massive effort involved pulling in notes from 18 months of covering Concurrent React by myself, in particular studying prior art from Rodrigo Pombo in cloning the API from scratch. You can check out his talk here to contrast what he did vs me.

The CUID readme [1] explains that there's no real point to K-sortable on modern hardware:

[1] https://github.com/paralleldrive/cuid2?tab=readme-ov-file#no...

There's a comparison in the README of the project:

https://github.com/paralleldrive/cuid2#the-contenders

Some of the arguments mentioned are explained elsewhere in the README, others are assumed.

One argument standing out for me is the lack of collision-resistance for UUIDv4 which is surprising for me and I didn't spot any sources for that argument.

Another argument is the entropy source where they go about that Math.random is not reliable as a single entropy source but glimpsing at the source code, they sprinkle the CUID with Math.random data.

I am no expert in ID security, so I am not qualified to speak about the validity of their arguments, only that there's insufficient information to validate without prior knowledge about the problem domain.

I'm recently finding cuid2 to be the best of these alternative GUIDs. They seem to have all of the benefits for what you would want to use a GUID for, but none of the drawbacks of existing implementations.[1]

[1]: https://github.com/paralleldrive/cuid2#the-contenders

I've just released v2.0.0 of my cuid2 python port. The original cuid2 package comes from JS world by ParallelDrive. They have a lot of the reasons to use Cuid2 posted in their repo, including

I recently wrote a Go implementation of CUID2 because I could not find an existing one. It is not hello-world, but it is not duff's device either, which by the way neither could explain what it did from just the raw code in isolation.

I think this implementation is the original one. It has the following to say about why it exists. And what it is good for:

There's also https://github.com/paralleldrive/cuid2 which likely should be added to this as it is likely one of the better ones out there now.

If you're using prisma then you can use CUID or CUID2 to manually generate it.