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 24 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 1 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
Systrom: Investing in industry verticals is 'BS' compared to team quality
“This is gonna be heresy to a VC's ears, but like, I think investing in verticals and spaces is BS. Like, yes, in general, generative AI is gonna produce something pretty cool, Like, yes, the stuff, like, these verticalized, like, the sharing economy, it's like…”
Systrom: Every successful social app begins as a utility before scaling
“Every app that is successful in social starts off as a utility, and it becomes a large social behemoth over time.”
Systrom: Believing friends share content interests was social media's biggest mistake
“And the fundamental thesis is that your friends are kind of into the stuff that you're into, and I would argue it is the greatest mistake Of social networks in the last 20 years, is to believe that is true.”
Systrom: Social networks must become less social and rely on behavioral affinity
“So, long time, like, long story short, I think that social networks need to become less social, and I think that something that will make up for it is this idea of learned association or learned affinity through your behavior.”
Systrom: Early Instagram mistakenly prioritized 'mission hipsters' over top talent
“As a small company, one of our mistakes in Instagram is hiring too many, like, mission hipsters that wore plaid and really liked drinking bourbon. Like, that was stupid. Like, we should have just been hiring the greatest people out there.”
Systrom: San Francisco will rebound as top startup center within five years
“But like, mark my words, look back five years from now, and I, you're even seeing the glimmers of it now. Just all these companies getting started. If you look at history, history, what is it? It's like it never repeats perfectly, but it rhymes. And there's no…”
Systrom would not work 16-hour days if he were in an office
“And if I were working this hard elsewhere, first of all, I wouldn't work this hard in an office. It just wouldn't happen.”
Systrom: Artifact overbuilt social features and could have launched much earlier
“There's parts of this product that exist, you can DM people, you can post socially, like, Facebook or Twitter, like, they're entire, there's entire pieces of this app that people can use, it's just locked away and not launched. We have over, we could have laun…”
Systrom: Artifact is a recommendation engine, not a news service
“I think what people don't understand is we're not building a news service. Like, maybe I shouldn't be saying this as much as I say it, but like, no, I'm interested in core recommendations. I'm interested in the science of utilizing people's tastes and profiles…”
Systrom: Founders must rely on dashboards over gut feelings during volatility
“Just trust the instruments. And like, my god, we have instruments, dashboards, et cetera, just trust the instruments. Forget about what people are saying, forget about what issue you had yesterday with the server, trust the instruments. And it doesn't make it …”
Systrom: Machine learning is fundamentally changing social product consumption
“We think fundamentally machine learning is changing the way people consume social products, and we want to ride that wave and build the best social product using machine learning we can.”
Systrom: Companies never reach stable perfection; founders must choose their suffering
“The myth that things are ever just in the stasis of good is totally BS, and what people need to realize is that, like Ray Dalio likes to say it's, like, not about avoiding suffering, and I'm paraphrasing here, it's about, like, learning to enjoy the suffering,…”
Systrom spends at least 16 hours a day working at his desk
“I mean, I'm in this chair Gosh, 16 hours a day at least.”
Systrom: Artifact should have launched its core kernel quickly for feedback
“If anything, I think we should have started with the kernel of the idea, launched that thing really quickly and then gotten feedback.”
Systrom: Artifact achieved hundreds of thousands of first-day sign-ups
“We had hundreds of thousands of people sign up the first day.”
Systrom: Artifact could not have been started by unknown founders in 2010
“This is not a company we could have started at a Dogpatch Labs in 2010. It's just not, we couldn't have done it.”
Systrom: Features that contradict an app's core job grate on users
“They can just grate at you if they include things that are dissonant to the core job. So you need to be very careful about forming that core job, and only adding things in when they support the core job.”
Systrom: Facebook's key legacy is teaching PMs scientific growth methods
“The one thing that I think Facebook should be remembered for as a professional development, like, incubator. Is its ability to teach young PMs the scientific method of growth. How do you grow things? Maybe to a fault, by the way.”
Systrom: Second-time founders fire fast while first-time founders struggle
“And if it's not the right fit for whatever reason, you just, you move on it. And I think that's something a second-time founder will do that a first-time founder has a lot of trouble doing.”
Systrom: Injecting margin randomness into decisions is optimal long-term
“Be a little bit random. And actually, machine learning would tell us that, which is that being a little random on the margin is actually optimal in the long run.”
Systrom: Startups grind people down through workload trade-offs and emotional volatility
“This stuff's just hard, and that's why the startup process just chews up and spits out people, like, no process I've seen before. It is just a grinder. Like, it goes through people like crazy, because it either screens you out because it's too hard work-wise, …”
Systrom: Rebuilding trust in algorithmic news will take five-plus years
“But you don't take on small challenges when you're a second-time founder, so I'm excited to go after it, and I think it'll take at least five years to get even close to that point.”