A brief analysis and comparison of the CSS for Twitter's PWA vs Twitter's legacy desktop website. The difference is dramatic and I'll touch on some reasons why.

Two years ago on a weekend, I built a tool to make it easier to evaluate Twitter accounts. Since then 36590 people used it to analyze 55390 different Twitter accounts.

Over the last months @mmkaradeniz and I made a new version. We launched it last night:

@accountanalysis doesn't use machine learning or AI „magic“. Instead of telling users if an account is authentic or not, it helps them to evaluate the accounts themselves.

It visualizes the different features (date, time, type, app, etc.) of Tweets to make them interpretable. /1

@accountanalysis The core concept is still the same, but it looks much better and is easier to operate. Not only for the users, but us developers as well. Enabling us to continuously roll out new features in the future.

Side-by-side screenshots of the old and new version. /2

@accountanalysis Some people had questions what different charts displayed and how they could be interpreted. There are now explanations for all charts, that can be toggled on and off at any time. /3

@accountanalysis The selected/retrieved Tweet count moved to the top to make it clear that not all Tweets of an account are analyzed. 3200 is the API limit by Twitter. It's possible to get more through the Premium API, but I don't think people would pay $100+ for the analysis of one account. /4

It’s underremarked upon that stablecoins accomplish basically all of the original design goals for Bitcoin qua a transactional mechanism (instant free value transfer anywhere), but that nobody cares about this because nobody ever cared about that part of the pitch.

“Why do people care about stablecoins then?”

A mix of “they encourage dollar-denominated liquidity in the cryptocurrency ecosystem and discourage withdrawal of the same” and “they’re good for money laundering.”

“But they make value transfer between exchanges much faster!”

This was a solved problem in traditional finance, too, mostly through the extension of credit. (It doesn’t matter how long settlement takes if there is sufficient trust to enable credit.)

The Bitcoin ecosystem is *positively allergic* to credit, so you have to call it a coin for them to accept it. And after you call it a coin they ignore everything the world has learned about credit, like risk management.

“Stablecoins aren’t credit!”

They’re pretty much exactly credit? A tether is a zero-coupon Bitfinex bond with a non-functioning call option. I

For people curious about the Roam API and confused by the syntax, or interested in why Conor went with Datomic/Datascript and not a traditional database, this older talk by Roam developer @mark_bastian is a great overview.

He gives great examples using Spiderman of how even modeling something fairly trivial in SQL is much more complex than in Datomic. But the real kicker is when you're trying to interrogate the data to find recursive relationships.

Right now the Roam data model (at least that's exposed to developers) is just about pages, blocks, and children with tags. Already you can see how finding the page containing a block with a certain tag etc is useful.https://t.co/jWJnuKu1RG

But imagine when attribute relationships are fully represented

You should be able to model the entire Spiderman story in Roam.
Page title: Peter Parker
Child of:: [[Richard Parker]] [[Mary Parker]]
Aliases:: [[Spidey]]

etc, and do these kind of queries.

"Show me quotes about operational efficiency in books by authors who used to be in the military"
"Show me companies in Boise, Idaho, founded by women, whose evaluation is lower than 10X ARR"