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 22 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
Conrad: Single-product SaaS companies cannot afford R&D for core platform capabilities
“These artisanal software companies really can't afford to invest in a set of underlying capabilities that are ultimately what make these applications powerful for their customers. And that end up being repeated across a lot of these different application areas…”
Conrad: Large engineering organizations are not seeing headcount reductions from AI
“I, like, am very skeptical that AI will be employment conserving because I just think that, like, in basically every area, like, we have not seen, and I think most large engineering orgs have not seen, like, a huge number of efficiencies from these sort of, li…”
Rippling's TalentSignal evaluates performance from work product, ignoring demographic data
“And so, TalentSignal, by reasoning from the work product only, Like it doesn't have access to demographic data. It doesn't know your race, ethnicity, you know, your age, your work location. It just knows this is the source code you wrote, or these are the cust…”
Building surface-level AI chatbots and copilots will not drive extra software subscriptions
“We didn't build a chatbot. We didn't build a co-pilot. We didn't build any of these surface level obvious capabilities. We're gonna build them. They'll be in there at some point. Who cares? It's not gonna sell a single extra subscription of software.”
Rippling introduces TalentSignal, an AI tool that evaluates employee performance
“There's a new product that we're just releasing called talent signal. It's the ability of this system to read the work product of employees and like marry the data that we have. On whom you've hired into your company at what job level with what, you know, all …”
Conrad: CEOs should reflexively reject binary trade-offs presented by teams
“People like to come to CEOs with what I call, like, CEO in the box options, where they say, look, you can have A or you can have B. Like, which one is it gonna be? You tell us, like, what the priority is, and it's this sort of illusion of choice where, you kno…”
Conrad: Standalone SaaS point solutions stop working once core platforms mature
“There was a period of time where, you know, yeah, if there was no sort of SaaS application for I don't know, whatever, like, time tracking or expense management or something like that. You could build a standalone thing for that, and it would get, like, very r…”
Elad Gil says AI headcount drops are Rippling's biggest hidden risk
“A new AI HR company isn't going to make headway against the beautiful bundle that they provide. And maybe the biggest risk to a company like Rippling is if headcount starts dropping. And their customer base due to AI, then they lose per seat, you know they los…”
Rippling plans an AWS moment next quarter by commercializing its data platform
“There is some new stuff coming from the company that's not directly AI related, but is about really scaled data, like super high scale data. We've already built this like really beautiful data platform underneath Rippling. It's kind of like our AWS, like we're…”
Issuing a dividend is a terrible signal that a company lacks ideas
“And, like, even worse is a dividend, because, like, now I can't even do that. I'm just gonna, like, literally just gonna give it. I don't know what to do with this money. I'm just gonna give it back to you. Like, what would I do with this money? There's like s…”
GitHub and Salesforce cannot evaluate performance because they lack core HR data
“GitHub can't do this because GitHub doesn't know who you've promoted. They don't know who did well. They don't know who you've had to let go of for performance reasons. Salesforce doesn't know that either. And so, like, I'm sure there's gonna be really cool, l…”
Gil: Bundlers Like Rippling Win Without Covering Every Feature Edge Case
“Now I feel like people are both building great products as well as bundling them, but also they're much more aggressive about saying it can be 80% as good. It could be 50% as good, but I'm going to have a bundle and that's HubSpot and that's Rippling and they …”
Conrad: Building AI governance and pipelines is harder than building applications
“What I think is going to be very durable with AI is, like, everything that I've seen is, like, building the applications is, like I mean, I don't want to say it's, like, trivial, obviously everything's hard, but what's much harder than building AI applications…”
Conrad: Over 80% of Rippling's engineering team focuses on existing products
“If you look at the headcount of the org, like over 80% of the engineering headcount is really focused on the existing stuff. Very little headcount is focused on building the new things. Like most of it is just in continuing to develop and sort of extend all of…”
Conrad: Rippling employs over 1,000 engineers, staffing new products with 5–7 people
“We always kind of have like, you know, four or five like new things in the works. But collectively, the teams that are building those are, it's not that large. It's, you know, it might be, you know, five to seven engineers on each one, you know, out of an engi…”
Rippling prohibits managers from making employment decisions based solely on AI evaluations
“Like no one's allowed to make any significant decision using the model alone. So anytime you talk about employment decisions, promotions, that kind of thing, you're not allowed to just point at talent signal and say, you know, it said X. You've got to have you…”
Rippling CEO Parker Conrad manually runs payroll and approves expenses over $10
“Parker, our CEO, he runs payroll for the company. Like, every pay run goes through him. He also approves every expense above 10 bucks.”
Rippling's AI surfaced an overlooked, high-performing engineer in India
“When we were building this product, she was an engineer in India who was working on one of our toughest problems, and she was singled out as a high potential employee. And she was in fact pretty early in her tenure at the company. And we paid attention to that…”
Over 150 former startup founders currently work at Rippling
“We have over a 150 people who have started companies that now work at Rippling.”
Conrad: Rippling chooses to remain private for now and re-evaluates yearly
“We've decided to be private for now. But that doesn't mean, you know, forever. So, you know, you kind of get to make that choice again every year.”