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.

clear all ✕

why aren't all 6 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

Assertion Supported
Kreps: Amazon built Kinesis to imitate Kafka before monetizing the open-source
“Amazon had a system that was actually built in, I believe imitation of Kafka called Kinesis. So it was incompatible, but kind of looked roughly like it. And that was popular. And we were like, oh man, that's going to take the opportunity. And if it doesn't, Th…”
Jay Kreps Mar 26, 2026 ▶ 37:51 How to build a company when you’re not an optimist | Jay Kreps (Co-founder and CEO, Confluent)
What-if
Narkhede: Confluent probably would have failed if it started as SaaS-only
“Would it have just been feasible if we started with a SaaS only offering? And the answer is probably not because, you know, one of the most important things an open source company needs to do is quickly establish yourself as the market leader, quickly establis…”
Neha Narkhede Dec 8, 2023 ▶ 54:04 Winning with open and closed source products | Neha Narkhede (Co-founder at Confluent and Oscilar)
Insight
Kreps: Signal of a major problem is use cases growing tenfold
“You can kind of, you know, you're onto a big problem when the number of use cases just keeps, you know, going up by like an order of magnitude that kind of pop out and where the problem you're solving seems really fundamental.”
Jay Kreps Mar 26, 2026 ▶ 15:04 How to build a company when you’re not an optimist | Jay Kreps (Co-founder and CEO, Confluent)
Assertion Not checkable as stated
Narkhede: Confluent had to combat strong developer DIY mentality around Kafka
“We spent a lot of time focusing on convincing the company that they didn't need a team managing Kafka or their team could be much smaller. Effectively, you're dealing with a, you know, target customer base that just wants to do it themselves, right? So the DIY…”
Neha Narkhede Dec 8, 2023 ▶ 1:09:08 Winning with open and closed source products | Neha Narkhede (Co-founder at Confluent and Oscilar)
Disclosure
Narkhede: Passed on Customer 360 Startup Idea Due to Crowded Market
“There was one other, maybe problem space again, sort of drawing on my experience, which is a helping companies build like a customer three 60 product where you have like a central platform to tap into, to understand your customer usage patterns, your customer …”
Neha Narkhede Dec 8, 2023 ▶ 1:05:34 Winning with open and closed source products | Neha Narkhede (Co-founder at Confluent and Oscilar)
Assertion Not checkable as stated
Narkhede: Fraud and risk is Kafka's largest use case by dollar spend
“The whole fraud and risk space came to mind because it's one of the largest use cases of Kafka on a dollar basis.”
Neha Narkhede Dec 8, 2023 ▶ 56:33 Winning with open and closed source products | Neha Narkhede (Co-founder at Confluent and Oscilar)
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