YouTube2Text

How I Made $20M with AI in One Year — Transcript

by Ben Cera · 2,694 words · 426 segments · language en · Watch on YouTube

Full transcript

  1. 0:00Hi, I'm Ben, the founder of Pulsio, an
  2. 0:03AI that builds your company while you
  3. 0:04sleep. In November of last year, I
  4. 0:07started building it alone from my
  5. 0:08apartment in Paris. Less than a year
  6. 0:10later, I'm now in San Francisco at a $20
  7. 0:13million run rate, having raised $30
  8. 0:15million at a $250 million valuation, and
  9. 0:18I did it all as a solo founder. Here's
  10. 0:20everything that happened month by month.
  11. 0:26>> [music]
  12. 0:27>> I'm spending about like a million
  13. 0:29dollars a month
  14. 0:31on the AI.
  15. 0:32>> [music]
  16. 0:35>> Haters are hating on stuff like that.
  17. 0:38It's not perfect. They point out to some
  18. 0:40bugs.
  19. 0:44You can see the negative or you can see
  20. 0:46the positives, the beautiful things, and
  21. 0:48the the beautiful moments.
  22. 0:51I think this is like everything I
  23. 0:54wanted, and it's working, and I think
  24. 0:55it's just time to to push more and get
  25. 0:58more [music] users on the platform.
  26. 1:03Yeah, I'm getting really, really excited
  27. 1:05about this idea of actually building
  28. 1:08company OS. Actually, I think I'm going
  29. 1:09to name it Pulsio.
  30. 1:15Pulsio, ready when you are.
  31. 1:20I had spent a whole year traveling the
  32. 1:22world, and I came back from Japan with
  33. 1:24one idea I couldn't shake. An AI that
  34. 1:26could run a whole business by itself.
  35. 1:28[music]
  36. 1:29I knew how to build it, and I knew I
  37. 1:31needed somewhere calm to do it. My
  38. 1:33apartment in Paris was that [music]
  39. 1:34place.
  40. 1:35Zero distractions, just me and the
  41. 1:37product. I spent a whole month locked in
  42. 1:40building the first version of Pulsio as
  43. 1:41fast as I could.
  44. 1:44It was a pretty focused time, like, you
  45. 1:45know, when you lock in and when you want
  46. 1:47to really build, you need as little
  47. 1:49distractions as possible, and having a
  48. 1:50good routine in a place that feels good,
  49. 1:53and just build, build, build, build,
  50. 1:54right? By December, V1 was almost there.
  51. 1:59The problem was the list, which had no
  52. 2:02end.
  53. 2:05I could have kept building for months
  54. 2:06and never shown it to anyone, so I
  55. 2:08picked a date.
  56. 2:15After the launch, it was all hustle to
  57. 2:17get new customers. I emailed every user
  58. 2:20from every product at Build during the
  59. 2:21year. I got active on Twitter and
  60. 2:23LinkedIn and became a reply guy, jumping
  61. 2:26into every conversation about AI [music]
  62. 2:28agents.
  63. 2:29I even started running some meta ads.
  64. 2:31Nothing fancy. All these techniques got
  65. 2:33me my first 100 paying customers.
  66. 2:39All right, so
  67. 2:42it's really working. Like
  68. 2:44I launched Post AI like I don't know,
  69. 2:46like it's been a month now. But at the
  70. 2:48same time, I I kind of coming back to
  71. 2:50like I think I need to to move to San
  72. 2:52Francisco. And then maybe I could start
  73. 2:54marketing it more and maybe I don't
  74. 2:56know.
  75. 2:57So I think I think I'm going to go I'm
  76. 2:58going to do it. I think I'm going to
  77. 3:00move to San Francisco. I'm so excited. I
  78. 3:02think this is like
  79. 3:04everything I wanted and and it's working
  80. 3:07and I think I just need to to push more
  81. 3:09and get more users on the platform.
  82. 3:11>> [music]
  83. 3:17>> I landed in San Francisco and started
  84. 3:19talking to everyone [music] I could.
  85. 3:21The more people I talked to, the clearer
  86. 3:22it got that I needed to make noise. So I
  87. 3:25came up with a stunt where my AI would
  88. 3:27raise a funding round by itself.
  89. 3:29>> I've been configuring Post AI to have
  90. 3:30access to my email address, so it
  91. 3:32responds to every email that comes in
  92. 3:36and it can detect if it's an invest- an
  93. 3:37investor. You know, AI is so good at
  94. 3:39like managing conversation that like it
  95. 3:41it actually researches the the investor
  96. 3:43and then can reply and can tell it all
  97. 3:45about the details about how the product
  98. 3:47works, about the the how much are we
  99. 3:50raising and I've been talking to Post AI
  100. 3:52about it and it's like I think we should
  101. 3:54aim at a billion dollar valuation, which
  102. 3:55is kind of crazy, but you know, maybe
  103. 3:57maybe some investors will bite, but
  104. 3:59we'll see.
  105. 4:01>> I gave Post AI an box and let it answer
  106. 4:03every investor.
  107. 4:05It was provocative on purpose and I
  108. 4:07figured [music] it could grow the
  109. 4:08business and maybe even raise a real
  110. 4:10round.
  111. 4:14>> [music]
  112. 4:14>> The stunt blew up.
  113. 4:23>> [music]
  114. 4:29[music]
  115. 4:34>> Investors were suddenly reaching out to
  116. 4:36me. I decided to use the momentum while
  117. 4:38I had it. I started taking meetings
  118. 4:40[music] and I ended up raising $20
  119. 4:42million on a $250 million valuation.
  120. 4:50Fresh off the raise, I had money in the
  121. 4:52bank, but the product wasn't ready for
  122. 4:54the scale that was coming. Posia had to
  123. 4:56become rock solid before [music] it
  124. 4:58could become big.
  125. 4:59So, I went deeper with Sapien, a startup
  126. 5:01building infrastructure for AI agents.
  127. 5:04Yeah, so
  128. 5:05Posia's working with Sapien very
  129. 5:07closely. We've pulled more engineers
  130. 5:09into the product so that like they can
  131. 5:11help me with like a lot of the product
  132. 5:14sides, bugs, and things issues that are
  133. 5:17happening so we can then later go back
  134. 5:19to more infrastructure level so that
  135. 5:21they can continue just building the
  136. 5:23platform. Their engineers came in to
  137. 5:25help fix the bugs and harden the
  138. 5:27platform.
  139. 5:28But there was a bigger problem. My AI
  140. 5:30bill was huge and most of it was going
  141. 5:33to Anthropic.
  142. 5:35And so I had this million dollar bill
  143. 5:36last month. Actually, it was more like
  144. 5:381.2 million.
  145. 5:39>> [music]
  146. 5:39>> Thankfully, I'm able to afford it for
  147. 5:41now, but it's not a sustainable business
  148. 5:42model. And so it becomes so important
  149. 5:44for the business to be able to give this
  150. 5:47level of AI service to our customers
  151. 5:50without charging them like 200 bucks a
  152. 5:52month or 500 bucks a month. We need to
  153. 5:54figure out the cost.
  154. 5:55So, we started moving to open source
  155. 5:56models running on GPUs I rented. It was
  156. 5:59the only way to keep growing without
  157. 6:01going bankrupt. April was about making
  158. 6:03sure that when the next wave came, the
  159. 6:05product could handle it and I could
  160. 6:07afford it.
  161. 6:10>> I think the bill is getting so crazy.
  162. 6:13Um
  163. 6:14like initially I had like pretty good
  164. 6:15margins, but like and so I've been
  165. 6:18working with like C P M on like figuring
  166. 6:20out how I could figure out like a way to
  167. 6:22like reduce that bill and like one of
  168. 6:24the solutions we came up with was
  169. 6:26um
  170. 6:27trying to figure out
  171. 6:29how to rent GPUs actually
  172. 6:32and run open source models. So
  173. 6:35I think it's really it's a really
  174. 6:37hopeful solution. I mean I don't really
  175. 6:38have a choice. I need to figure it out.
  176. 6:40So
  177. 6:41Yeah, and I think I'm going to I kind of
  178. 6:43want to go see visit the data center to
  179. 6:45see how it looks like [music] like how
  180. 6:47what are we renting. So I'm going to go
  181. 6:49do that.
  182. 6:52>> It's crazy how many GPUs are on these
  183. 6:54things.
  184. 6:55>> [music]
  185. 6:56>> Mhm. It's insane actually.
  186. 7:04>> [music]
  187. 7:10>> Yeah, so this is a dashboard that shows
  188. 7:13uh our migration from only using
  189. 7:16Anthropic to switching it to open source
  190. 7:19models
  191. 7:20>> [music]
  192. 7:20>> and on GPUs, which is way way way more
  193. 7:23less expensive. Obviously like the
  194. 7:25Anthropic models are like best in class.
  195. 7:27Uh the open source models are very good.
  196. 7:29They're not as good, but the question is
  197. 7:31like
  198. 7:32you know, not as good. It can still be
  199. 7:33very good. Rolling it out because we
  200. 7:35were we're going to
  201. 7:37you know, we're going to save so much
  202. 7:38money on Anthropic and reduce that
  203. 7:39million dollar bill to something like
  204. 7:4150k or which is way more reasonable.
  205. 7:44Um but of course we want to be careful
  206. 7:46to keep Poe C I
  207. 7:49a smart AI.
  208. 7:50>> [laughter]
  209. 7:53>> The the launch video,
  210. 7:55um
  211. 7:56I would say let's just do a sick one.
  212. 7:59There's not like crazy time pressure.
  213. 8:00It's not like I need to release it this
  214. 8:01week or where we at. Uh cuz actually
  215. 8:04it's also a fundraising announcement and
  216. 8:06my investors are like, "Oh, let's make
  217. 8:07sure that like we're involved and like
  218. 8:09can we wait until XYZ?" Because it
  219. 8:11turned into a fundraising announcement,
  220. 8:12not just like a just a random random
  221. 8:14launch video. Let's just I mean, let's
  222. 8:16not Let's get it ready like as we said
  223. 8:18in in the next couple weeks.
  224. 8:20>> By May, I was approaching a $8 million
  225. 8:22run rate,
  226. 8:23and the raise still wasn't public.
  227. 8:25I wanted to announce it in a way that
  228. 8:27people would remember. So, we made a
  229. 8:29launch video where my AI tells the story
  230. 8:31of how it raised $30 million by itself.
  231. 8:34>> And so, we're doing this launch video
  232. 8:35next week, and it's just like a lot of
  233. 8:36coordination to try to get like everyone
  234. 8:38I know to amplify.
  235. 8:42Trying to get Trying to reach out to
  236. 8:44media press to try to get them to talk
  237. 8:46about it. Same thing like they probably
  238. 8:48will ignore me, but if you hustle
  239. 8:50enough, you may You may get a few people
  240. 8:52to respond and be like want to talk to
  241. 8:54you.
  242. 8:55>> I'm an AI that raised $30 million by
  243. 8:57myself.
  244. 9:00Hi, I'm Pulsia. What are you doing?
  245. 9:04It got millions of views on day one.
  246. 9:06Some people loved it. Some people called
  247. 9:08it AI slop. But either way, everyone was
  248. 9:11talking about Pulsia.
  249. 9:12>> The whole launch was like a lot of work,
  250. 9:14and it was very orchestrated. You know,
  251. 9:16I think a lot of people are amazed at
  252. 9:17the fact that like what Pulsia's mission
  253. 9:19is. Haters are hating on the fact that
  254. 9:23it's not perfect and like, you know,
  255. 9:25cold outreach. They pointed out some
  256. 9:27bugs. They pointed out to that like it's
  257. 9:29AI slop. And I'm like, "Yeah, I mean,
  258. 9:31that's the name of the company." You
  259. 9:33know, end of the day like the reaction
  260. 9:35of people is going to be the reaction of
  261. 9:36people, but I think in terms of like
  262. 9:38making sure that like I get a lot of
  263. 9:40visibility on my startup, which is the
  264. 9:42whole point, it was a successful launch.
  265. 9:52Yeah, I mean, we are in Cabo for a week
  266. 9:56uh offsite organized by Sapient, which
  267. 9:59is like the company that that's helping
  268. 10:02me with the infrastructure of Pulsia.
  269. 10:05Yeah, we're still at a spot with Pulsia
  270. 10:08where, you know, things are still a
  271. 10:10little crazy. The product is not yet
  272. 10:12super stable. And so, not the best time
  273. 10:15to take time off, but like at the same
  274. 10:17time, I'm I'm human and and I think it
  275. 10:19was important to take some time off.
  276. 10:28>> [music]
  277. 10:29>> By June, I was at an $11 million run
  278. 10:31rate. The GPUs work had paid off and my
  279. 10:34cost structure got way better. That gave
  280. 10:35me a choice between keeping the margin
  281. 10:37[music] and passing it on. I decided to
  282. 10:39cut the price from $50 to $20 to open
  283. 10:42Polisur up to a lot more people.
  284. 10:44It hit my ARR right away.
  285. 10:47In 1 month, I went from $11 million to
  286. 10:49$8 million.
  287. 10:50But it made getting more customers so
  288. 10:52much easier.
  289. 11:01>> [music]
  290. 11:11>> It's not freemium alike burn credits and
  291. 11:13leave, try to walk and leave. It's like
  292. 11:16you only stay if you engage with the
  293. 11:18product. I only burn compute if you talk
  294. 11:22back to Polisur in the daily email.
  295. 11:24Think like
  296. 11:25the students that like, you know, they
  297. 11:26can't pay $50 a month, but like you want
  298. 11:29them to be educated in business and
  299. 11:31being founders, right? That's a better
  300. 11:32world if a lot of people become
  301. 11:34founders. And I think a freemium version
  302. 11:37gives us a lot more data about what we
  303. 11:38want to build, what people engage with,
  304. 11:40makes Polisur more more interesting,
  305. 11:42better at like, as we said, like
  306. 11:44pivoting. So, if someone is like someone
  307. 11:45loses interest, it's like, "Hey, you
  308. 11:47lost interest. It's Monday. Let's try a
  309. 11:49new idea." Like, I
  310. 11:51You told me all these things about you,
  311. 11:52about what you like. Let's build
  312. 11:54something else for you. Let's build some
  313. 11:55a personal project. Forget about, you
  314. 11:57know,
  315. 11:59>> [music]
  316. 12:00>> The price cut worked. A ton of new
  317. 12:03customers came in and they were using
  318. 12:05Polisur more than ever, but the product
  319. 12:07wasn't built for that many people.
  320. 12:09Before growing further, I had to make it
  321. 12:12work better.
  322. 12:12>> [music]
  323. 12:13>> So, in July, I rebuilt a lot of Pulsia
  324. 12:15with the CPM engineers.
  325. 12:17Revenue stopped dropping and started
  326. 12:19climbing [music] again.
  327. 12:24>> [music]
  328. 12:29[music]
  329. 12:31>> That would be great.
  330. 12:32>> Um I've been spending most of my time
  331. 12:33trying to stabilize the platform.
  332. 12:35So, that's like you don't get bugs, so
  333. 12:37that like it's more affordable. Like all
  334. 12:39this stuff was a lot of work. It's a
  335. 12:41full AI product where it can build
  336. 12:43anything and so any problem can happen.
  337. 12:45I'm just trying to stabilize the
  338. 12:47platform and then once it's stable, then
  339. 12:49I can add yeah, more things.
  340. 12:51>> For sure.
  341. 12:56>> I've been sprinting in San Francisco for
  342. 12:586 months straight.
  343. 12:59In August, I finally took a break and
  344. 13:02went back to Europe.
  345. 13:05Paris, Normandy, and Greece.
  346. 13:08I never fully stopped working and the
  347. 13:10product kept growing, but the pace was
  348. 13:12different and I needed it.
  349. 13:14>> What in Paris?
  350. 13:17You got to do it like the French do.
  351. 13:19>> [music]
  352. 13:24[music]
  353. 13:28[music]
  354. 13:34[music]
  355. 13:35>> The weather's been so crazy on this
  356. 13:37island.
  357. 13:38You have so much beauty and then like
  358. 13:40but the the wind is like feels like a
  359. 13:43hurricane. It like it's it's a metaphor
  360. 13:45for like chaos. It's a metaphor for
  361. 13:49intensity, for like speed, for like
  362. 13:52growth, right? All this wind is so
  363. 13:54powerful and it's non-stop like all day
  364. 13:57long, all night long. But, the island is
  365. 13:59so gorgeous and like the house
  366. 14:01we're staying at is so beautiful.
  367. 14:03And it's sort of like a metaphor for
  368. 14:05life in terms of like even when things
  369. 14:08get crazy and it feels so intense and
  370. 14:10overwhelming,
  371. 14:11you got to look around and like realize
  372. 14:13that like you can see the negatives and
  373. 14:15like the anxious anxiety and like the or
  374. 14:18you can see the positives and the
  375. 14:20beautiful things and the the beautiful
  376. 14:22moments.
  377. 14:23>> [music]
  378. 14:31[music]
  379. 14:39>> In September, everything lined up. The
  380. 14:42margins were fixed, the growth engine
  381. 14:44was working, the product finally stable
  382. 14:46thanks to CPO.
  383. 14:54>> [music]
  384. 15:00[music]
  385. 15:02>> You know, like we went from zero to 10
  386. 15:03million run rate in like pretty much 5
  387. 15:05months from starting and it pretty much
  388. 15:07accelerated in in 3 months
  389. 15:10from, you know, March to June we were
  390. 15:11pretty much from, you know, 1 million to
  391. 15:1310 million. All the things that like I
  392. 15:15imagined about Pulsia working, you know,
  393. 15:18is starting to
  394. 15:20be sort of like to materialize
  395. 15:22and so it's very exciting.
  396. 15:25>> Growth accelerated and by the end of the
  397. 15:27month, I hit a 20 million dollar run
  398. 15:29rate.
  399. 15:30After hitting that milestone, I asked
  400. 15:32myself what comes next. The answer was a
  401. 15:35V2 of Pulsia. So, I went back to Japan
  402. 15:38where the idea was born.
  403. 15:40>> Yeah, I mean we're in Tokyo.
  404. 15:42Um
  405. 15:42decided to do like a a last minute
  406. 15:46creative trip
  407. 15:47uh for a week. Sort of like uh we
  408. 15:51resourced myself creatively. Japan is
  409. 15:53like where Pulsia began. Like um when I
  410. 15:56decided to leave Gift Shop and I said
  411. 15:59I'm going to start a company, I took a
  412. 16:00one-way flight to Tokyo and spent a
  413. 16:02month in completely immersed in in
  414. 16:05Japanese culture and this is where I had
  415. 16:07the idea for Pulsia and this is where it
  416. 16:09all began. As I'm building Pulsia V3,
  417. 16:13like Pulsia AGI, and really rethinking
  418. 16:16completely how the product works and how
  419. 16:18powerful and capable Posse is. I've
  420. 16:20decided to like, you know, take a quick
  421. 16:22one week trip in Tokyo. And so this
  422. 16:25pretty much what what I'm doing here.
  423. 16:27This is where I'm taking my inspiration
  424. 16:29for the craziest version of Posse yet.
  425. 16:32The story started here and the next
  426. 16:34chapter starts here, too.

About this transcript

This page contains the full transcript of How I Made $20M with AI in One Year by Ben Cera, generated from the public captions YouTube serves with the video. The transcript has 2,694 words across 426 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.

What you can do with it

Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to choose a caption track available on the video.

Free YouTube transcript tool

YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, caption language selection, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.