I love this site, they so much great stuff all the time! Thanks for sharing!

"The logic makes sense, however, for one should never portray themselves as bored, idle, or distracted in the company of others: the affront of an acquaintance checking text messages over drinks predates smartphones by several centuries, it seems."

Here's a Notion vs Anytype comparison from the company's blog

https://blog.anytype.io/notion-alternative/

Netflix documentary soon please!

Big ups for the winners - this is so cool and hopefully can be replicated for deciphering many other lost manuscripts.

Do you think this is like a tip of the iceberg situation? Disclosed leaks (massive as they are here) are still 10% of what's actually compromised?

> Disclosed leaks (massive as they are here) are still 10%

A very good question! Might be less than 10%, actually, wouldn't you think? If you know Mr. Troy, drop him a message; I'd like to know his opinion, as I haven't seen academic papers estimating these things.

Then, a further question is that as data keeps and keeps accumulating, bigger and bigger and bigger and faster and faster and faster, more and more and more will leak in the future, including more and more sensitive (read: non-personal) data.

EDIT: less, not more, sorry for the inconvenience.

If most of the web is non-indexable then you're probably your math makes sense :)

:)

Love this, thank you for compiling and sharing this!

Readability perhaps :) If one is reviewing it (along with N others), they want to get the point asap. If they have questions or are intrigued, they'll ask in the following stage.

Quiet the plot twist

Local first as well as peer to peer with benefits for speed and security.

Not sure because there isn't much historical data on this

Also this depends on how they calculate it but would love to see a breakdown by different applications. E.g. what happens if some proprietary software uses open source elements vs fully open source software