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Silicon Valley's Hottest Young Founder Right Now | Cluely, Roy Lee

EO19:23Added Aug 31, 2026

This interview features Roy's startup journey from being expelled from Columbia University to developing an AI tool for technical interviews and securing a $5M investment.

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Contributed by 刘嘉琪

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Transcript format

  1. Intro

  2. 00:00Hello, my name is Roy.
  3. 00:01I founded this company called Cluely, and I just got kicked out of Columbia for
  4. 00:05building this tool called Interview Coder.
  5. 00:07It's like a cheating tool for software engineering.
  6. 00:09Technical interviews.
  7. 00:10I used the technology to build a much bigger company.
  8. 00:12Cluely, the desktop app that lets you cheat on everything right now.
  9. 00:16We just launched about a month ago.
  10. 00:18We're closing in on $5 million in annual recurring revenue, and we also
  11. 00:22just closed a $5.3 million seed round led by Abstract Ventures and Susa Ventures.

  12. Why I Built a Cheating Tool

  13. 00:32I was a pretty wild kid.
  14. 00:34I got in a lot of trouble, but I was pretty smart.
  15. 00:36I think I was pretty good at math.
  16. 00:37I did a bit of math competition when I was younger.
  17. 00:40I was on the debate team. I played some cello.
  18. 00:42I loved girls, you know, every year I had a new girlfriend.
  19. 00:45Yeah, my mom made me do a lot of studying, but I hated studying.
  20. 00:48I was always trying to go out and like, have fun,
  21. 00:51play with my friends.
  22. 00:52I've always been very competitive.
  23. 00:53When I was a kid, I had an older brother who was two years older than me,
  24. 00:56and I always wanted to be smarter than him.
  25. 00:58I always wanted to do better and get better grades at school than him.
  26. 01:01I'm always trying to win. I'm trying to beat ‘Juhn-Gyo Eel-Deung’ at everything.
  27. 01:04Top of the class
  28. 01:05You know, in the world of software engineering, if you want
  29. 01:07to get a job at a big tech company,
  30. 01:09you have to answer these sort of riddle-esque questions
  31. 01:11that are called LeetCode questions.
  32. 01:13And pretty much every developer you know at a big company has gone through
  33. 01:16the gauntlet of memorizing 300-600 riddles and just sort of memorizing the solutions
  34. 01:21and regurgitating them in interviews.
  35. 01:23I'm very, very competitive.
  36. 01:25So the second I knew that there was a global ranking on LeetCode,
  37. 01:28I knew I had to be one of the best.
  38. 01:31So I spent hundreds of hours studying, grinding the riddles,
  39. 01:34even though I don't care about LeetCode, I didn't enjoy it.
  40. 01:36I didn't really have a good time, but I was just competitive.
  41. 01:38So I thought, if there's a ranking, then I've got
  42. 01:40to be on the top of the ranking.
  43. 01:42But I mean, it just ended up with me wasting a bunch of hours.
  44. 01:44LeetCode just has nothing to do with what you do on the job.
  45. 01:47It's like the modern day equivalent of asking how many balloons
  46. 01:50fit in the Empire State Building.
  47. 01:52It's supposed to test your critical thinking, but the questions are online
  48. 01:55to the extent that rather than practicing critical thinking,
  49. 01:58you just practice memorizing the riddles.
  50. 02:00You're going to sit through and memorize all the 1000 questions, because it
  51. 02:02means you get a $200K a year job.
  52. 02:04This is not good for anybody.
  53. 02:06You don't learn anything from practicing these riddles,
  54. 02:08and you just end up wasting time when you should be programming.
  55. 02:11I thought this was pretty stupid and this has been going on
  56. 02:13for around 20 years right now.
  57. 02:14The technology was there to develop this tool that would invisibly let
  58. 02:18you use AI to cheat on these interviews.
  59. 02:20So I built the tool.
  60. 02:21I publicly recorded myself using it on the Amazon interview.
  61. 02:24I got the job and I posted this everywhere saying, look how easy it is
  62. 02:27to hack these interviews.
  63. 02:29Eventually this got me in some trouble.
  64. 02:31But, the impetus of everything was when I decided that it's just a stupid industry
  65. 02:36practice and I wanted to change it.

  66. X Features and Strategies for Going Viral

  67. 02:39A lot of people think it was explosive from the start, but it took about a month
  68. 02:43before it really started to take off, and for a month I posted everything.
  69. 02:46Amazon was getting mad at me,
  70. 02:48and Columbia saw it and was getting mad at me,
  71. 02:50and everyone was just upset and it didn't really go that viral for about a month.
  72. 02:53And during that time I was really stressed.
  73. 02:55I just gave up my entire career and my entire education
  74. 02:58for the hope of a company.
  75. 02:59But it didn't even go viral like I did all this for like 15,000 views.
  76. 03:02And I was really worried.
  77. 03:03Everybody in my life, including even my co-founders, were telling me like,
  78. 03:06hey, we should probably stop.
  79. 03:07We should probably shut this down. But I don't know.
  80. 03:09There's just a voice in my head that said,
  81. 03:10this has potential.
  82. 03:12Like I have to keep going. And I did keep going.
  83. 03:14And then at one point it did go viral, like super viral.
  84. 03:17And everybody in tech saw it. At that point, I was safe.
  85. 03:21Virality protected me from further punishment
  86. 03:24from Columbia.
  87. 03:24It made the path to entrepreneurship a lot easier and clearer.
  88. 03:27I've sort of committed my life to building companies.
  89. 03:30Once I made that decision, it was very easy for me
  90. 03:32to decide to leave Columbia.
  91. 03:34And once I did leave Columbia, I knew I'm going to do the only thing that I
  92. 03:37can do now, which is build companies.
  93. 03:39I think it also helps position me. I'm a very unique person now
  94. 03:43who got kicked out of an Ivy League.
  95. 03:44And as a result, there's a lot of interest from Silicon Valley
  96. 03:48about what I'm going to do next.
  97. 03:49At the time, it felt like things were moving really slow.
  98. 03:52As soon as Interview Coder went viral, I knew that I had to capitalize
  99. 03:55on the moment because the attention wasn't going to be there for long.
  100. 03:58The product was a product designed to die, the product to cheat
  101. 04:01on technical interviews.
  102. 04:02So the second companies change technical interviews, the product dies.
  103. 04:05Meaning I have a few short moments before my spot in the limelight dies
  104. 04:10and I thought, I have to raise a round.
  105. 04:12I have to start a bigger company that's more sustainable and defensible long term.
  106. 04:16So for me, it felt like things were moving so slow. I had to push back my fundraise
  107. 04:20like two weeks.
  108. 04:21I was going to fundraise two weeks earlier than I did. To me at the time,
  109. 04:24I felt like I was in such a time crunch and I had to wrap things up and do the next thing,
  110. 04:30and it felt like things were moving super slow
  111. 04:31But I guess I was under the pressure of the situation.
  112. 04:36I mean, we planned for me to use Interview Coder to
  113. 04:39cheat on a bunch of big tech interviews and get the jobs, and we thought
  114. 04:42that was going to be a viral moment.
  115. 04:43So in that sense, we planned it.
  116. 04:45But for the last three months I've made probably like maybe a thousand
  117. 04:48tweets, and since then, I've figured out how to make tweets that will go viral.
  118. 04:51How to make tweets that will be more controversial and get more engagement.
  119. 04:55I think for X especially,
  120. 04:57I've only really cracked X, because I think people on Twitter
  121. 05:00are a very unique type of people.
  122. 05:02They love controversy, they love drama, they love attention,
  123. 05:05and they love to either dog on people or watch people get dogged on.
  124. 05:09I think every single time you tweet something, if you don't think
  125. 05:12half the people in the world would feel very negative about this,
  126. 05:15then it's probably not going to be viral
  127. 05:17as a tweet.
  128. 05:17All of your tweets that you're planning on making go viral,
  129. 05:21they need to have a very strong, controversial twist that makes people
  130. 05:24pause and be like, what the fuck?
  131. 05:25And this is not the case for Instagram, TikTok or LinkedIn or whatever,
  132. 05:29but it is the case for Twitter.
  133. 05:30And yeah, I think Twitter is - the more controversial
  134. 05:32you're willing to make your tweet, the better and the more viral you will go.
  135. 05:35Interview Coder on Twitter was received so positively.
  136. 05:39It was just like this scrappy young kid who was trying to fight back
  137. 05:42against big industry, big tech, and everyone on Twitter was very supportive.
  138. 05:47I think as I got bigger and my account grew, people grew less supportive,
  139. 05:51which is like to be expected.
  140. 05:52I'm generally very good at receiving hate and criticism.
  141. 05:55I'm a very polarizing personality, and I do a lot of crazy stuff
  142. 05:59throughout my life.
  143. 05:59I've always had people giving me hate.
  144. 06:01None of the negative comments really stood out, but I was very surprised to see
  145. 06:04how positively Interview Coder was received on Twitter when I first launched it.
  146. 06:07I think people are often so worried that they're going to say something bad online,
  147. 06:11and it's just going to get back to them and their reputation is over.
  148. 06:14And I don't know, like it's going to bury them.
  149. 06:16But I think in reality ‘all press is good press’
  150. 06:19I say a ton of super controversial stuff.
  151. 06:22And in every video I'm in, there's like a bunch of comments saying,
  152. 06:25oh, this guy's evil.
  153. 06:26This guy's like, this and that, and there's always some hate.
  154. 06:28But it's like, this stuff really doesn't matter.
  155. 06:30Yeah.
  156. 06:30I mean, I've learned that it really doesn't matter if everybody
  157. 06:33in the world just doesn't like you.
  158. 06:35Well, actually, it's done pretty much the opposite.
  159. 06:37I've realized that even if I say extremely crazy shit online,
  160. 06:40it will just make people more interested in me and the company,
  161. 06:43and it'll just drive more downloads and conversions
  162. 06:45and get more eyeballs onto Cluely.
  163. 06:47If anything, I've learned that I need to become crazier online
  164. 06:50so that people will keep funneling attention towards the core product.
  165. 06:54I think it's very, very rare that you will say something online
  166. 06:58that translates to something negative
  167. 07:00happening in the real world, like online is not real life.
  168. 07:03I'm a pretty chill person in real life, but online I'm crazy because it gets
  169. 07:07me engagement and attention.
  170. 07:09When you are so polarizing and controversial online, you need to very
  171. 07:14clearly distinguish this is my real world life and this is the online life.
  172. 07:18And in my real world life, there are very few people who I trust fully
  173. 07:23and who I think I love and love me.
  174. 07:25My parents will always be on my side, no matter what crazy shit I do online
  175. 07:29and my future wife and kids
  176. 07:30They will always be on my side no matter what crazy shit I do online.
  177. 07:32And I think it is very, very important to distinguish.
  178. 07:35This is my real life family and friends and they love me unconditionally
  179. 07:39and I love them and everything online is just noise.
  180. 07:41Even if everyone online or everyone outside this box hates me,
  181. 07:45it doesn't matter because the most important people are in this box, and the
  182. 07:48people that I love and love me back.
  183. 07:51Interview Coder is a tool designed to let you cheat on technical interviews,

  184. What 'Cheat on Everything' Really Means and the Purpose Behind Cluely

  185. 07:56but what we realized as we built Interview Coder is that the idea of an AI
  186. 08:00that sees your screen and hears your audio sort of shows itself
  187. 08:04as this translucent screen overlay.
  188. 08:05This has never really been attempted before.
  189. 08:07This is a completely novel user experience, and it's very shortsighted to
  190. 08:10think that this is only good for cheating.
  191. 08:12Ultimately, what we're building is we're building for a future where models are
  192. 08:16multimodal and the models are not there yet, and they're probably not going
  193. 08:19to be there yet for another three years.
  194. 08:20Nobody's really thought of what happens when chatbots are no longer relevant.
  195. 08:24What happens when you don't want to prompt GPT anymore?
  196. 08:27And it just knows what you want? Then how will you interact with AI?
  197. 08:31Nobody's really attempted this before, and I think Interview Coder was the first
  198. 08:35proof of concept of a user experience that could work in this world.
  199. 08:38So we realized that.
  200. 08:39And that's what we're building Cluely.
  201. 08:42I mean, Cluley is the new way you will use AI in five years.
  202. 08:46Hopefully if we do things right then in two years.
  203. 08:48The phrase "cheat on everything" is intentionally ambiguous.
  204. 08:51Like what is cheat on everything?
  205. 08:52Like, I know what cheat on test means, but I don't know what cheat
  206. 08:54on everything means.
  207. 08:55It's left to be sort of confusing and make you sit on it and reflect for a moment.
  208. 08:59When you see someone using AI for everything,
  209. 09:01it makes you think this is unfair.
  210. 09:02They're not supposed to be doing that. They're cheating. In reality,
  211. 09:05if you can use this for everything, like what is
  212. 09:08cheating on a meeting look like?
  213. 09:09It's not really a thing.
  214. 09:10It's just our gut human reaction to think, this is so different.
  215. 09:12This is such a big advantage that it's unfair.
  216. 09:15And what we hope to do is we hope to give everyone this advantage.
  217. 09:18When every single person is using AI to cheat on meetings,
  218. 09:21then it's not that you're cheating anymore.
  219. 09:23this is just how humans will operate and think in the future.

  220. Calculators and Spell Checkers: They Were Also Called 'Cheating' Once

  221. 09:26I think when you can use AI, you should use AI. If it helps you,
  222. 09:30then you should use it.
  223. 09:32If using a calculator will help you, then you should use it.
  224. 09:34If using spellcheck will help you, then you will use it.
  225. 09:36Eventually, the spell check will teach you how to spell the right words, because
  226. 09:39you'll get used to it so much or you just won't need to know how to spell anymore.
  227. 09:43You'll just need to know what the word is.
  228. 09:45If you can use AI to help, then you should.
  229. 09:47And if you can already do the job, then you'll never need
  230. 09:49to do the job in the future.
  231. 09:50Assuming AI is everywhere, which it will be.

  232. Technical Interviews Must Evolve in the Age of AI

  233. 09:54All technical interviews need to change, not just in software engineering,
  234. 09:57but everywhere in the world.
  235. 09:58If you get asked the question and AI can answer the question, then you should
  236. 10:02probably get that out of your interview.
  237. 10:04I think interviews will be a lot more holistic,
  238. 10:06and I really question whether we even need job interviews at all in the future.
  239. 10:10If there is an AI that knows everything about you, everything you're good at,
  240. 10:13why do you need a one hour interview to assess anything other than culture fit?
  241. 10:17I already know all the work you've done, or at least the AI already knows
  242. 10:19the work you've done.
  243. 10:20It knows how good it is.
  244. 10:21It knows what skills you're good at, and if there is a skill match,
  245. 10:24then I should just be able to match you directly to the job.
  246. 10:26Assuming that we get along after like a 30 minute conversation.
  247. 10:30I really don't know that there is a need for interviews in today's age, but
  248. 10:33right now what we use is really just a conversation.
  249. 10:36We check if you're a culture fit, we talk about past work you've done,
  250. 10:39and that's pretty much it.
  251. 10:40The whole point of Cluley is to get everybody used to the fact, or used to a
  252. 10:44life where they use AI for everything.
  253. 10:46Once everybody uses AI in every instance possible, there's going
  254. 10:49to be a lot of jobs that get replaced,
  255. 10:50and there's going to be a lot of people who are able to do
  256. 10:53so much more than they previously were.
  257. 10:55If every scientist decided one day, like today, I'm going to start using AI
  258. 10:58as much as possible,
  259. 10:59they will be 100 times more productive. When scientists are
  260. 11:02a hundred times more productive,
  261. 11:03we cure cancer ten years earlier. We cure Alzheimer's ten years earlier.
  262. 11:06Everyone lives to 400 years old and we're on the next flight
  263. 11:09to fucking Mars in like two years.
  264. 11:10The rate of societal progression will just expand and exponentiate significantly
  265. 11:16once everyone gets along to the fact that we're all using AI now.
  266. 11:20And that's what Cluley hopes to achieve, is to get everybody used to
  267. 11:23"we're all using AI now."

  268. How Taking Bold Risks Shapes the Future of Al

  269. 11:28I think for the user experience, I spent a lot of time making
  270. 11:32the user experience very seamless.
  271. 11:33It's less of a technical challenge, I think, and more of a taste challenge.
  272. 11:37The concept of a translucent screen overlay is something that really
  273. 11:41has never been attempted before.
  274. 11:43And it's something that I tried, and I think I only got to it after like
  275. 11:47dozens of iterations of different tools
  276. 11:49that would be a more seamless use of AI in your life.
  277. 11:52Yeah, I think that was probably the biggest technical challenge,
  278. 11:55just figuring out what exactly is the best user experience
  279. 11:58for someone using this tool.
  280. 11:59I mean, latency, response speed and accuracy
  281. 12:03are the two biggest things.
  282. 12:04This is what every model, like OpenAI, is working
  283. 12:07to improve: latency and accuracy.
  284. 12:09There's ways that we can get to a much faster response, for example,
  285. 12:13if we host models on our own servers.
  286. 12:15This eliminates a lot of latency that comes from the load balancing
  287. 12:19and request handling that is just inherent in OpenAI's servers.
  288. 12:23That's probably what we will end up doing.
  289. 12:25There's ways that we can cache the input and sort of parameterize the inputs
  290. 12:29so that you get the same condensed info.
  291. 12:33Same information, but just condensed in a smaller way and the smaller the input
  292. 12:37size, the faster the time to first token.
  293. 12:39Also, generally, accuracy can be improved by specific system prompts.
  294. 12:43We're developing custom evals in-house based on a lot of the analytics
  295. 12:47and usage that we're seeing.
  296. 12:48And like everything is getting better.
  297. 12:50Like every single day, the Cluely gets more accurate and faster.
  298. 12:53At a certain point, we're going to know exactly what type of responses you prefer
  299. 12:58as an individual, what sort of conversations that you're in, and we
  300. 13:02can use all that data to generate a very,
  301. 13:05very hyper specific, personalized, fine-tuned model for you that knows that,
  302. 13:09hey, I'm a media reporter, I conduct these sorts of interviews, and I
  303. 13:12generally want these types of responses.
  304. 13:14The tonality of my emails is this.
  305. 13:15So I would like you to respond in this way.
  306. 13:17And we can just get the most personalized model in the world.
  307. 13:20And once we have that data as like a moat, defending us from
  308. 13:24the other big tech companies, then we'll pretty much be unstoppable.
  309. 13:26More so than the data, I think the user experience
  310. 13:29is just interesting, untapped and novel.
  311. 13:31If we're correct about this, then we'll be the first to market.
  312. 13:34And there's a huge first mover advantage when you're trying
  313. 13:37a new form of UX. And if we can capture the market quickly enough
  314. 13:41by going viral enough sufficiently,
  315. 13:43then I think it will be very hard to compete with us.

  316. Not Building with AI Today? You're Making a Mistake

  317. 13:49The entire way we're going to think will be changed.
  318. 13:52Every single one of my thoughts is formulated by the information
  319. 13:55I have at this moment.
  320. 13:57But what happens when that information I have isn't just what's in my brain,
  321. 14:00but it's everything that humanity has ever collected and put online, ever.
  322. 14:04What happens when AI literally helps me think in real time,
  323. 14:07the entire way that humans will interact with each other, with the world,
  324. 14:10all of our thoughts will be changed.
  325. 14:11Like what happens when I know about every single post you've made online ever.
  326. 14:15And I use that to distill down into a condensed blurb
  327. 14:19of everything about you ever.
  328. 14:21What does our interaction look like then?
  329. 14:23It's really hard to say, but I think this is a turning point for humanity,
  330. 14:27and it will fundamentally change the way that we think
  331. 14:30and the way that we behave as humans.
  332. 14:31Well, if you're not building a company in AI right now, then you're
  333. 14:33probably not doing the right thing.
  334. 14:35AI just enables you to build such cool stuff, and it's such a new technology
  335. 14:40that even if you're 19 and you've been playing with it for two months,
  336. 14:43you are one of the brightest minds.
  337. 14:46You are one of the pioneers of the field.
  338. 14:47It's not like biology where if you haven't studied for ten, 20 years, then you don't,
  339. 14:51then you're not an expert in biology.
  340. 14:52You can study AI for two months and you'll be an expert in AI. This
  341. 14:55technology is so gigantic, and it's so new that you can be really, really young.
  342. 15:00And you can know it more deeply than anyone else, and you'll have
  343. 15:03the opportunity to build like a billion, $10 billion company out of it.
  344. 15:07I would say take bigger risks.
  345. 15:08This is the only advice I have for anyone, really.
  346. 15:11You are smart enough.
  347. 15:12You're capable enough, you're hard working enough.
  348. 15:13Just take bigger risks.
  349. 15:15If you take bigger risks and force yourself into positions
  350. 15:17where you have to make it,
  351. 15:18you'll find that you're a lot more hard working than you thought you were,
  352. 15:21and you'll also find that life gets a lot more interesting.
  353. 15:24And very often the downside risk is much smaller than you think, and the upside
  354. 15:27of risk is much bigger than you think.
  355. 15:29I wasn't really like this five months ago.
  356. 15:31I mean, literally like, half a year ago, I was thinking, I just want
  357. 15:35to get a job at a big tech company.
  358. 15:36That's all I want to do.
  359. 15:37And it wasn't until very recently that I thought, oh, I actually want
  360. 15:40to build companies and go all in on this, taking risks initially.
  361. 15:44It means being willing to get rid of the constructs and limiting
  362. 15:48beliefs in your mind that make you think, hey, when I graduate, I have to be an
  363. 15:51engineer or lawyer or doctor or whatever.
  364. 15:52Just being willing to see what would happen if you didn't do it.
  365. 15:55Every risk starts very small.
  366. 15:57Right now, I think people look at me and think I'm a crazy risk taker.
  367. 16:00But it didn't start like this. It started with me taking smaller risks.
  368. 16:02Like the first risk I took was, hey, what if I built this tool
  369. 16:05and told nobody about it?
  370. 16:06Then the next risk I took was what if I post it online but made it free and didn't
  371. 16:09really associate with it so that people,
  372. 16:11more people would see it and eventually the risk just snowballed and snowballed.
  373. 16:13Until now, I'm like fully posting whatever confidential document Columbia
  374. 16:17gives me because like, I don't care.
  375. 16:19Like the risk is not that much of a risk anymore,
  376. 16:21and I've grown used to it. So grow used to taking bigger risks.

  377. Act Now or Fall Behind

  378. 16:27I feel like my life is very easy.
  379. 16:30My life has been very easy. I mean, my mom.
  380. 16:33I've got loving parents, my mom, she made me study even when I didn't want to.
  381. 16:37She would just say, Roy, you should go study.
  382. 16:39So I studied and as a result, I did well in school and I hung out with smart kids
  383. 16:42and they helped me do better in life.
  384. 16:44Like, I have two amazing, great parents and I come from a great family.
  385. 16:47I don't really feel like my life has been all that challenging.
  386. 16:51Getting kicked out of Columbia?
  387. 16:52It's not that challenging when you're out there building companies,
  388. 16:54and I was going to drop out anyways. Getting rescinded from Harvard?
  389. 16:57This is also not that challenging when you have a loving family at home.
  390. 17:00There's kids out there who are starving in Uganda
  391. 17:03and like my life is not that hard.
  392. 17:04Really.
  393. 17:05A lot of everything that you should think is you should just try
  394. 17:08and think more positively about life and be more optimistic about things.
  395. 17:11It's very rare that you're going to be in America,
  396. 17:13you're going to have the opportunity to go to college, and you're really
  397. 17:16in an actually challenging situation.
  398. 17:19In reality, we're in the most interesting time in history.
  399. 17:21If you live in America and you're not in poverty
  400. 17:23and your parents aren't crackheads,
  401. 17:25you have the opportunity to make billions of dollars and make generational wealth
  402. 17:30and do the most interesting thing ever.
  403. 17:31There's very few challenging situations that are so challenging
  404. 17:34that you're just, like, limited right now.
  405. 17:36Anybody can do anything, and you should just try and take risks and be bold
  406. 17:40because, you're very privileged right now to be living in this world.
  407. 17:45Success is having a wife, having 12 kids and having people remember me.
  408. 17:51I think Steve Jobs and Elon Musk are very cool in that everyone has a strong opinion
  409. 17:57about them, whether it's good or bad.
  410. 17:58Everyone has something to say about Elon Musk, and I think that's really cool.
  411. 18:02We're all gonna die eventually and nobody's gonna remember us
  412. 18:05in a thousand years.
  413. 18:06I might as well be remembered as strongly as possible for
  414. 18:09the time that I'm here.
  415. 18:10I think the biggest thing is confidence.
  416. 18:12Like, truly, you hear all the time that, the people that build big companies
  417. 18:16are not geniuses.
  418. 18:17They're not smarter than you.
  419. 18:18They're just they take more risks than you, and they're hard work,
  420. 18:22harder workers than you.
  421. 18:23And I think this is generally true.
  422. 18:25Five months ago, I was just some random student at some random school and I
  423. 18:28didn't really have anything going for me.
  424. 18:29And now I just raised $5 million, and I'm in this giant office,
  425. 18:33and I'm building a company that I hope will change the world one day.
  426. 18:35And very little has changed about me except the fact that I took a risk.
  427. 18:39Even moving forward,
  428. 18:40if I do end up becoming the next trillionaire,
  429. 18:42like as big as Mark Zuckerberg, there will be nothing about me that changed.
  430. 18:46It'll just be a series of well calculated risks that I took that will lead me there.
  431. 18:50And I think the gap between Mark Zuckerberg and your average human,
  432. 18:53it's really not that big.
  433. 18:54And if you just have the confidence to take bigger risks,
  434. 18:57then very often you will win.