Assertion Not checkable as stated
Tan: Companies can reach $15M ARR in four months with two people
“Literally, you can go from zero to 15 mil ARR in about four months with, like, two or three people and, like, hundreds of agents. Like, you know, a few hundred skill files.”
Opinion
Garry Tan: AI startups will not replace incumbent giants like Microsoft
“There are real motes to these things. Like, there are structural reasons why a Microsoft isn't going anywhere. And then, I guess, This is sort of a little antithetical to what most, you know, most people in Silicon Valley would say, like, I want to start up to…”
Assertion Contradicted
Tan: San Francisco ABC affiliate refused to cover anti-Asian hate crimes
“ABC News you know, literally the mainstream media TV channel of San Francisco and the Bay Area would not cover anti-Chinese and anti-Asian crime.”
Insight
Tan: Great ventures begin as cults with beliefs defying orthodoxy
“From Palantir, I definitely learned that everything that's awesome in my life is kind of a cult. That starts with some sort of truth or belief that flies in the face of an orthodoxy, which is very punk, actually.”
Opinion
Tan: AI and vibe coding multiply developer productivity by hundreds
“What's happening right now with vibe coding and agentic coding literally any given person could be 400 of that person, like, from two years, like, even, like, nine months ago you can be a multiple of yourself.”
Prediction Not checkable as stated
Tan: Pure per-seat SaaS may disappear within 5 to 10 years
“Like, you know, I was just doing an analysis on, like, pure sass, and I was like, oh, shoot, like, you know, a pure, like, per seat sass thing, like, not totally clear it will exist in another five or 10 years.”
Insight
Tan: A markdown file is an employee that executes tasks perfectly
“A markdown file is an employee. And it's an employee that will do the job perfectly every single time. And it'll do it like as many times as you want.”
Assertion Not checkable as stated
Tan: Brex CEO uses AI agents to analyze direct reports' meeting transcripts
“He has his agent look at the meeting transcripts from, like, All of his direct reports, and he, like, can see that, like, two levels down. And then the thing that really jumped out at me is, like, he can use meetings that he's not in. To figure out, like, what…”
Insight
Tan: Startups use AI to compress six-month product releases into days
“Like you could release something in a day or two that would have taken like six months. And if you could like multiply that out across, like the thing is like probably an org like Microsoft can't. But, like, a startup can. And every startup must.”
Prediction Not checkable as stated
Garry Tan: Full societal and corporate adoption of AI will take 20 years
“So I think that, you know, the white pill to me is like, it's gonna be 20 years, and that's not a bad thing. That's actually a good thing. Yes. Like, society is way slower than you think. Government is way slower than you think. Every company in the world is w…”
Prediction Not checkable as stated
Garry Tan: Next computing form factor will clearly be voice and memory
“I think in the short term it'll probably keep looking like the way it is, but it seems inconceivable that it'll stay that form factor. Like, it's pretty clearly going to be voice. I think there's a lot around memory.”
Prediction Not checkable as stated
Tan: AI 'harness wars' for 1B consumers will erupt around 2027
“My guess is, like, next year, twenty-twenty-seven, will be, like, the harness wars. You know, and then, but it's really a cost thing. Like, it's just too expensive right now. You know but it won't be, like, there will be a war for a billion consumers. Right wh…”
Disclosure
Tan: Turning down early Palantir offer was a $2B to $4B mistake
“Peter said, I'm so sure this is the right thing for you. Like, here's a check for 70 grand. That was how much I made at Microsoft at the time. And I said, thank you very much, Mr. Thiel, but I might get promoted to level 60 this year. Which I did, but I think …”
Opinion
Tan: AI erases the traditional API line
“I actually think AI erases the API line.”
Prediction Not checkable as stated
Tan: Fixing local governance will repair national politics within 10 years
“If we fix local, like, state and national will fix itself, because, like, On a five or 10 year basis, like the people who win up there, like, they will come up through a system that's functional and about saying no to things that don't make sense, about saying…”
Insight
Tan: Founders should avoid following the crowd when sectors are declared dead
“And then you shouldn't follow what the crowd is saying, right? Like, at that moment, people said the web was dead, but that was sort of the perfect time to work on web and social and things like that and, you know, I didn't do it.”
Insight
Garry Tan: Founders should pursue unique interests instead of asking what's hot
“The classic Question I'm sure you get that, you know, all investors get all the time is what's hot and what should I work on? And that's the wrong question to ask. Like the right question is like, what are you interested in? What do you know uniquely?”
Disclosure
Tan: YC advice prompt was reduced 90% in Claude before open-sourcing
“And then I actually had to go into Claude and I said, reduce this by 90%. Reduce the strength and intensity of this prompt by 90%. And then I open sourced that. Cause some of it's like, you gotta come and, you know, do YC.”
Insight
Tan: Agency and taste are off the charts important now
“No, I mean, and then I think it's crazy to what degree, like, suddenly agency and taste, like, off the charts important now.”
Assertion Not checkable as stated
Tan: Operating AI agents at full strength costs $50K-$100K annually
“It costs, I don't know, 50 or a 100,000 dollars a year to, like, use the agents at full strength, like, full 150 IQ.”
Insight
Garry Tan: Existing institutions are constrained by human working memory limits
“And so the whole world, like all business, all things that people rely on, government especially is basically still built on a world that is predicated by human beings, limited human beings that can only keep seven plus or minus two things in their head.”
Assertion Supported
Tan: Brex co-founder built open source layer Crab Trap to monitor agents
“What he ended up doing was, like, Building an entire open source layer, which he actually has open source called Crab Trap. That is like an agent that watches all the network traffic and all the things that Open Claw does.”
Disclosure
Tan: Y Combinator funded Clawvisor, which built an agent-only bug reporting API
“There's a, API company that we funded called Clawvisor, and they released a bug report endpoint that is not for humans to use. It's for agents who use their software to use”
Garry Tan