The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 8 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Handy: Social media pricing backlash did not cause mass dbt cancellations
“Our business as a result has not really had a hiccup. But if you only existed on Twitter or LinkedIn you would think that you know, our customers desired us on mass and we're every single one of them was livid and canceled, but that just like didn't happen.”
Twitter and LinkedIn's open-source data catalogs go unused without governance
“Reason why I say that is because I've talked to all the high-tech companies like Twitter, LinkedIn, et cetera, and they all have their catalog projects. Many of them have actually open sourced catalog initiatives, But then you find that nobody's actually using…”
Borgman: Presto is mostly Facebook internal, while Trino is the mainstream branch
“They started as identical copies, but the code bases have diverged quite a bit. And today Presto is really just used by Facebook. So it's sort of like their own private branch in a way used by a small number of people. And Trino has become the mainstream commu…”
Taylor: Data science and AI startups should prioritize LinkedIn over Twitter
“Twitter might get you more impressions, I think. And you might get your message out wider. So I don't think it has to be an either or, but if I was going to spend a lot of my time, especially if I was a data science or AI startup, I would learn where my audien…”
Apache Kafka was built on prior engineering work at Yahoo
“Things like Kafka eventually came out of LinkedIn that was based on work that we had been doing at Yahoo”
LinkedIn was Gong's first enterprise customer, scaling to thousands of users
“The first first customers would LinkedIn, right? That they, they're interested in someone I knew from a previous relationship, and they told me they're, they like to play with new technologies, and you know, we said, okay, that sounds great, and now they have,…”
Narkhede: Apache Kafka powers over 1.2 trillion written messages daily at LinkedIn
“You know, Kafka powers more than, ah, 1.2 trillion messages, ah, written per day. It is, ah, it powers more than 3.4 trillion, ah, messages, ah, read per day. All that amounts to more than one petabyte of streaming data. And that is across thousands of produce…”