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Ep. 5 - Network Bonding Theory — Transcript

by NFX · 3,641 words · 538 segments · language en · Watch on YouTube

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  1. 0:00(bright lively music)
  2. 0:03- Okay, so now we're gonna talk
  3. 0:04about Network Bonding Theory.
  4. 0:06And I know that sounds a little bit boring,
  5. 0:08but this is actually
  6. 0:09the heart of how networks get formed.
  7. 0:12Now, years ago, we could see
  8. 0:14the effects of network effects,
  9. 0:16but we couldn't see exactly how they were constructed,
  10. 0:18like Legos or piece by piece.
  11. 0:20But now we can, because of Web3,
  12. 0:23we've been able to see the software
  13. 0:25and the math and the people
  14. 0:26and the nodes of the networks, all interacting.
  15. 0:29And now that we can see it,
  16. 0:30we can put language to it
  17. 0:32and we can describe it
  18. 0:32and make it a tool for us to build our startups.
  19. 0:35So network bonding.
  20. 0:37Look, software used to be the hard part
  21. 0:39about your startup.
  22. 0:41Software is getting a lot easier.
  23. 0:42What's hard now is community building,
  24. 0:45is building the network,
  25. 0:47is getting people and other things
  26. 0:48to bond to your networks,
  27. 0:51which is how to bond people
  28. 0:53to the network of your company,
  29. 0:55because your company itself is a network.
  30. 0:57And companies have forever, made implicit decisions
  31. 1:02about what to compensate people,
  32. 1:04how to pay nodes to bond to their network,
  33. 1:07particularly in the form of shares and salary compensation.
  34. 1:11And at the beginning of a company,
  35. 1:14you will pay someone a lot more equity
  36. 1:18to cause them to bond to the network
  37. 1:20and then you pay less and less,
  38. 1:21and really a power law of geometrically declining rate
  39. 1:25at which you give out equity in your company,
  40. 1:27because once that network gets bigger and stronger,
  41. 1:29more and more people will join to that network.
  42. 1:32Now, what I'm proposing
  43. 1:33is that by being able to language it
  44. 1:34and see it and understand it,
  45. 1:36we can now make it a tool for building your companies.
  46. 1:39We want to take these historically implicit calculations
  47. 1:42that networks are making and make them explicit
  48. 1:46so that we can see them,
  49. 1:47and let me walk you through that right now.
  50. 1:48(bright lively music)
  51. 1:52So there's a mindset shift that you need to have
  52. 1:55in order to see what I'm talking about,
  53. 1:57which is, you've gotta go
  54. 1:58from the idea of a single player game
  55. 2:01to the idea of a multiplayer game.
  56. 2:03So if you're building a game of solitaire,
  57. 2:06that's a single player game.
  58. 2:07If you're selling a SAS tool to an enterprise company,
  59. 2:10they buy your tool, they use it for their data.
  60. 2:13That's it, that's all it is.
  61. 2:15But if you think about how
  62. 2:16to turn everything you're doing
  63. 2:17into a multiplayer game,
  64. 2:18or think of how, what you're doing is a multiplayer game
  65. 2:21and you didn't see it that way,
  66. 2:22you will start, that's the easiest way I've learned
  67. 2:26to help founders start
  68. 2:27to see what I'm talking about,
  69. 2:29which is how do I add other people
  70. 2:32into this game with me?
  71. 2:35What am I compensating them?
  72. 2:36What are they getting?
  73. 2:37What are they giving?
  74. 2:38What's the implicit arrangement we have
  75. 2:41with each of the nodes and the network we're bonding
  76. 2:43into this multiplayer game?
  77. 2:45So just keep that in mind
  78. 2:46as we walk through the examples I'm talking about,
  79. 2:49about how we can turn everything into a multi-player game,
  80. 2:51particularly your company.
  81. 2:53(bright lively music)
  82. 2:57So let's talk about a network that you're familiar with,
  83. 2:59which is your startup.
  84. 3:01So you've got people you want
  85. 3:03to bring in, employees,
  86. 3:05you've got customers you want
  87. 3:06to bring in to your company,
  88. 3:07you want recognition in form of press,
  89. 3:09or social media talking about them,
  90. 3:11and you want investors,
  91. 3:12you want people to bring capital
  92. 3:13into the business so that you can grow it.
  93. 3:16So these are four nodes.
  94. 3:17There's more, but lets just say, look,
  95. 3:18you've got four different types of nodes
  96. 3:20that you are trying to bond to your network.
  97. 3:22You call it a company,
  98. 3:23but it's really a network.
  99. 3:25And at the beginning of that process,
  100. 3:27you might find a co-founder,
  101. 3:29and you split the company 50 50.
  102. 3:30So you've basically given 50% of the company
  103. 3:33to the very first node that's willing to join with you.
  104. 3:36Now, the next person that comes along,
  105. 3:37who's the third person,
  106. 3:39how much equity do you think you're gonna give them?
  107. 3:41Maybe, 8%? And then the fourth person,
  108. 3:44what do you give them? Four?
  109. 3:45Fifth person, what do you give them? Two.
  110. 3:47So you've got this asymptoting declination
  111. 3:50of your willingness to pay people
  112. 3:52to join onto your network.
  113. 3:54Then, you go to an investor and you say,
  114. 3:56"I need to raise $2 million."
  115. 3:58And that investor gives you a seed check.
  116. 4:01And for 2 million, maybe they buy 15% of your company.
  117. 4:05But the next firm that comes along,
  118. 4:08they might give you 6 million for 15% of your company.
  119. 4:12And the next firm might give you $25 million
  120. 4:14for 15% of your company.
  121. 4:18And again, you've got a geometrically declining amount
  122. 4:21of equity you spend
  123. 4:23in order to get that new investor node
  124. 4:25to bond to your network.
  125. 4:28And we've been doing this implicitly for ever.
  126. 4:31But let's make it explicit.
  127. 4:33Let's understand that
  128. 4:34that is a process you're going through.
  129. 4:36And I believe that over time, we're gonna have software,
  130. 4:40spreadsheets that will help us measure
  131. 4:42the value impact of every new employee,
  132. 4:45every new customer, every new investor,
  133. 4:47every new press release we get, that gets published around,
  134. 4:51and we're gonna be able
  135. 4:52to calculate what we should be willing
  136. 4:54to pay and when to walk away from a deal,
  137. 4:56or to bring a new node into your network.
  138. 5:00I mean, this is true, as you know, with your customers.
  139. 5:03If you were to land Nike as a customer,
  140. 5:06you'll be able to tell everybody else,
  141. 5:07"Nike is a customer.
  142. 5:08They've made the decision to work with our software.
  143. 5:10They've made the decision to join our network."
  144. 5:12That's gonna help you land other customers.
  145. 5:14You know, there's a value there.
  146. 5:15Nike knows it too,
  147. 5:16and they want you to charge them less,
  148. 5:19or, but we don't have a formula for it.
  149. 5:22In the future, I believe we will have formulas
  150. 5:25for all these things,
  151. 5:26because we will understand all
  152. 5:27the math about all this specific tactical network bonding
  153. 5:31that we're doing to companies.
  154. 5:33For instance, a skeleton we can use for this is,
  155. 5:37to use maybe four factors
  156. 5:38in determining what you should be willing
  157. 5:40to pay a node to bond to your network.
  158. 5:41Number one, time.
  159. 5:42Time since inception of the company.
  160. 5:44The longer it is from the such of the company,
  161. 5:46the less you're gonna be willing to pay.
  162. 5:48Number two, the promise of the node.
  163. 5:50The node has some following on Twitter,
  164. 5:53they have some performance
  165. 5:54they've had in the past.
  166. 5:56There's some promise to them
  167. 5:57that you could probably measure
  168. 5:58in calculating what you should be willing to pay them.
  169. 6:01Number three is the engagement
  170. 6:03and performance they have after they bond
  171. 6:06to your network.
  172. 6:07So for instance, if we use Twitter as another example.
  173. 6:10You could pay someone
  174. 6:11with a big following to join your Twitter network,
  175. 6:13to grow out the graph,
  176. 6:15and to grow attention into that ecosystem.
  177. 6:18But if they don't tweet,
  178. 6:19that's a huge problem for you.
  179. 6:21People will go to their profile,
  180. 6:22they'll see that they haven't tweeted,
  181. 6:23and they'll think,
  182. 6:24"Oh, this Twitter thing is dead."
  183. 6:26This isn't cool enough for Kobe to be tweeting"
  184. 6:29And so without Kobe tweeting,
  185. 6:32it actually hurts your network
  186. 6:34to have Kobe having bonded in your network.
  187. 6:36So you actually want to compensate each node
  188. 6:39for their performance after their initial bonding.
  189. 6:41And then, the fourth thing to look at is,
  190. 6:43there's different curves you can use
  191. 6:45in declining how much you're willing
  192. 6:47to pay somebody.
  193. 6:48But again, these four elements
  194. 6:50are a skeleton toward thinking
  195. 6:51about how you build a spreadsheet
  196. 6:53or even software to help you calculate what a new node
  197. 6:56is worth to your network.
  198. 6:58(bright lively music)
  199. 7:03And so once you've figured out
  200. 7:04what you think a node would be worth to you to bond,
  201. 7:07then you have to figure out what type
  202. 7:09of compensation to give them.
  203. 7:10And actually, there's a lot of different types
  204. 7:12of compensations.
  205. 7:13And I'll walk through the list with you
  206. 7:15so you can see the variety
  207. 7:17that we've already been dealing
  208. 7:18with over the last three years
  209. 7:19in building the companies we're working with.
  210. 7:21The most obvious one
  211. 7:22is the value of using the product.
  212. 7:25So the value of your product
  213. 7:27is actually the first
  214. 7:28and most useful thing
  215. 7:29that you can still do going forward.
  216. 7:31The second thing,
  217. 7:32you could consider is giving them cash.
  218. 7:35US dollars, or Euros, or Bitcoins,
  219. 7:37or whatever they might wanna get paid
  220. 7:39to join your network.
  221. 7:40You can see this in a lot of entertainment products,
  222. 7:44with celebrities, and whatnot.
  223. 7:46Of course, you can consider giving equity shares,
  224. 7:48traditionally, to your employees.
  225. 7:51But increasingly, people are wondering whether
  226. 7:53it should be shared beyond employees.
  227. 7:55Fourth thing you consider would be just discounted fees.
  228. 7:58We've seen that premier placements
  229. 8:00and traffic and attention,
  230. 8:02extra traffic and attention to people.
  231. 8:03People are willing to bond
  232. 8:04to you if you promise them things like that.
  233. 8:06You give them status symbols in the system.
  234. 8:09You give them early access to various pieces,
  235. 8:11or to different communities within your product.
  236. 8:16You might give them some voting or decision making,
  237. 8:18the ability to edit things or to change things,
  238. 8:20really power in your network.
  239. 8:22The ninth thing you might consider
  240. 8:24is giving them premier software features.
  241. 8:27Functionality like power that other people don't have.
  242. 8:30Number 10 could be membership into this valuable click,
  243. 8:33or access to other nodes
  244. 8:36they wouldn't normally get access to.
  245. 8:39Another thing could be real world perks like dinner,
  246. 8:41or tickets to the ball game.
  247. 8:42We've seen that repeatedly, certainly in the sales process.
  248. 8:46Another thing you can give people
  249. 8:47is really a belief in the mission.
  250. 8:48This is a right brain compensation.
  251. 8:50It's a intrinsic motivator,
  252. 8:52but you've gotta put it on your list,
  253. 8:54because some of your businesses will have the ability
  254. 8:57to create belief in the various nodes who want to join.
  255. 9:01Another thing to think of is a commitment
  256. 9:04to a set of human relationships,
  257. 9:05another right brain intrinsic thing.
  258. 9:07And then, now we're getting into fungible tokens.
  259. 9:11Just people are adding tokens
  260. 9:12to certain marketplaces and saying,
  261. 9:14"If you continue to run your labor through our marketplace,
  262. 9:18you will earn more tokens,
  263. 9:19which will be worth money in the future."
  264. 9:22And then, the last thing to consider
  265. 9:23is non-fungible tokens.
  266. 9:24NFTs, so far have been mostly about art
  267. 9:27and art communities and whatnot.
  268. 9:28But increasingly, these are just ways
  269. 9:31of owning unique things that are digitized.
  270. 9:36And so you can see that companies
  271. 9:37in the future will be compensating both customers
  272. 9:41and employees and users of the product
  273. 9:44with non-fungible tokens as well.
  274. 9:46So that should go on your list.
  275. 9:48So there's lots of ways of compensating the nodes,
  276. 9:50some of which you're experience with,
  277. 9:51some, maybe you're thinking about differently now.
  278. 9:53(bright lively music)
  279. 9:57In addition to making it a multi-player game,
  280. 10:00another big mental concept you've gotta grab
  281. 10:03is that not all nodes are created equal.
  282. 10:05In fact, they're very different, very unequal.
  283. 10:08I believe that in the future,
  284. 10:11almost all marketplaces and network businesses
  285. 10:13are gonna have fungible tokens
  286. 10:15to compensate the various nodes of the network to bond
  287. 10:17and stay bonded to their networks.
  288. 10:19And I'm gonna give you an example here
  289. 10:20that is a real world example we've seen
  290. 10:22in the last couple years that demonstrates this.
  291. 10:25PSG, Paris Saint-Germain,
  292. 10:28the big soccer team in Paris has recruited Lionel Messi
  293. 10:33to leave Barcelona and join them
  294. 10:35for the last years of his career.
  295. 10:37They didn't give him shares in PSG,
  296. 10:39but what they did do is they gave him fan tokens,
  297. 10:42millions of fan tokens
  298. 10:45that they had distributed out to the fans.
  299. 10:47The fans were buying them as part of the network
  300. 10:50to bond to the tribal network effect of this,
  301. 10:52of this soccer team.
  302. 10:54Now, think about it.
  303. 10:56It's just a soccer team, but it's not.
  304. 10:57It's actually a network.
  305. 10:58And in this case, we know it's a tribal network.
  306. 11:01And these fans were buying these tokens
  307. 11:02to get access to t-shirts,
  308. 11:03or get to go in early into the stadium.
  309. 11:06They were getting compensated
  310. 11:07for their tokens in various ways.
  311. 11:10And when it was announced
  312. 11:11that Lionel Messi was joining PSG,
  313. 11:13the value of those tokens doubled.
  314. 11:15So if they gave Lionel Messi 2 million tokens,
  315. 11:19and those tokens were worth $4 a piece, €4 a piece,
  316. 11:22suddenly they're worth €8 a piece,
  317. 11:24and they just compensated Messi
  318. 11:25almost 16 million euros with fan tokens.
  319. 11:30That's gonna be a significant part of his compensation.
  320. 11:33And this is just the beginning,
  321. 11:35because these types of fungible tokens
  322. 11:36are just beginning.
  323. 11:37So you can imagine what
  324. 11:38it's gonna be like 10 or 20 years from now.
  325. 11:40They're gonna be used more and more.
  326. 11:42Now, think about,
  327. 11:43did Messi get compensated enough for joining PSG?
  328. 11:47And there are some indications
  329. 11:48that he was not compensated enough.
  330. 11:50One would be the fact
  331. 11:52that the French league, soccer league,
  332. 11:56their TV rights went from being worth $600 million
  333. 11:59to being 1.2 billion as soon as messy joined that.
  334. 12:03What percentage of that 600 million gain
  335. 12:06is gonna go to Messi?
  336. 12:07Arguably, all of it should go to him
  337. 12:09because he was the instance which caused
  338. 12:12that price to jump so much.
  339. 12:14But I'm sure he did not get all of that 600 million.
  340. 12:16And then, you were gonna have debates.
  341. 12:18And in the future, we're gonna have very open debates
  342. 12:21about this sort of thing.
  343. 12:22And his agents will be able to trail where in the network,
  344. 12:27not only is it gonna affect PSG
  345. 12:29and the value of their fan tokens
  346. 12:30and their fan base and the value of their tickets,
  347. 12:32but it's gonna affect all of the French teams
  348. 12:35that are gonna then play Messi
  349. 12:36and everyone's gonna wanna tune in.
  350. 12:38So that wider network,
  351. 12:40that bigger network will now all lift up
  352. 12:43because of this addition of this one node.
  353. 12:46So when you think about this sort of a thing,
  354. 12:49you've used to think about it as sports,
  355. 12:50but now, think about it as networks,
  356. 12:52and you can start to see the ripple effects,
  357. 12:54the value causation, the value capture,
  358. 12:57how that's all gonna work?
  359. 12:58You're gonna start to need to write
  360. 13:00that into your startup, just as Paris Saint-Germain
  361. 13:03and all the teams around the world
  362. 13:05are gonna need to write it into their plans
  363. 13:06and how they compensate people going forward.
  364. 13:09Think about all the other network nodes
  365. 13:11around Paris Saint-Germain, think about the fans.
  366. 13:14Should they be compensating
  367. 13:16the fans to wear outrageous outfits,
  368. 13:20or to be beautiful,
  369. 13:21or to be loud,
  370. 13:22or to be enthusiastic,
  371. 13:24or to greet people outside of the stadium?
  372. 13:26Well, now either you have fungible tokens
  373. 13:28that are not shares in the company
  374. 13:30and are not just outright compensation,
  375. 13:32you start to have ways
  376. 13:33of animating all the different nodes
  377. 13:35that make going to the soccer games amazing,
  378. 13:38following the team amazing,
  379. 13:40copying their stats and playing fantasy games amazing.
  380. 13:43It just is gonna ripple out and out and out.
  381. 13:45And it's a huge open creative area
  382. 13:47that we've now entered into
  383. 13:49now that we have this web three
  384. 13:50and these ownerships, these NFTs.
  385. 13:52Huge creative space over the next decades
  386. 13:55that is gonna reveal all these businesses as networks,
  387. 13:59and is gonna allow us to manage them as networks.
  388. 14:01(bright lively music)
  389. 14:06This is gonna require a bit of a mindset shift
  390. 14:08for founders, because the nodes
  391. 14:11that are unequal are going
  392. 14:13to start being able to see and understand,
  393. 14:17and then demand compensation
  394. 14:20for their participation in you network in ways
  395. 14:23that they haven't been able to in the past.
  396. 14:24I mean, think about shares.
  397. 14:2620 years ago, if you were living in Europe,
  398. 14:29most employees didn't even ask for shares.
  399. 14:32They didn't think about it.
  400. 14:33It was a Silicon valley thing.
  401. 14:35And then, as it spread East, it got to New York
  402. 14:38and then eventually it spread to Europe
  403. 14:40and now, most have learned to ask for shares,
  404. 14:43because they can see the shares,
  405. 14:44they've been able to track the shares,
  406. 14:45they've heard the stories of the shares.
  407. 14:48The same thing is gonna happen
  408. 14:49with tokens and with NFTs, Non-fungible Tokens
  409. 14:52in the future with all of your nodes
  410. 14:54expecting to get compensated
  411. 14:56for the value they bring to your network.
  412. 14:58So it's gonna require software spreadsheets thinking
  413. 15:01it's gonna require different mindset
  414. 15:03from founders to manage in this new environment
  415. 15:05as everything gets revealed as a network,
  416. 15:07and we have ways of measuring and compensating people
  417. 15:09for the value they bring to those networks.
  418. 15:11(bright lively music)
  419. 15:15A lot of people are getting
  420. 15:16into all this compensation stuff
  421. 15:17and tokens and incentives.
  422. 15:20And incentives are important.
  423. 15:21In fact, I think Charlie Munger says,
  424. 15:22"Show me the incentives and I'll show you the outcome."
  425. 15:25I just think that's incomplete.
  426. 15:27We are going to be subject to overcompensating,
  427. 15:31or over-indexing if you will, on incentive models.
  428. 15:35And we really shouldn't,
  429. 15:36we shouldn't forget the human part of this.
  430. 15:39And you see that and if you're gonna recruit a sports person
  431. 15:42to your team like Lionel Messi,
  432. 15:44does he like the people he's gonna be playing with?
  433. 15:46Does he like the management?
  434. 15:47Does he like living in Paris?
  435. 15:49Does his wife like living in Paris?
  436. 15:52There's still human factors in compensating if you will,
  437. 15:56these nodes to bond,
  438. 15:58and let's not forget them.
  439. 15:59(bright lively music)
  440. 16:03So that being said about the right brain needs of people,
  441. 16:07we are going to enter a new era about now,
  442. 16:10which is that, for the last 25 years,
  443. 16:13we've watched the internet create networks
  444. 16:18that have attacked the scale effect businesses of the past.
  445. 16:21And it's been an unfair fight.
  446. 16:22It's been like mammals versus reptiles.
  447. 16:24Mammals end up dominating.
  448. 16:25So we've been able to defeat the newspapers
  449. 16:27and the radios and the TVs with new media.
  450. 16:29We've been able to defeat the old non,
  451. 16:31the scale businesses with networks
  452. 16:33and new online marketplaces and whatnot.
  453. 16:36But going forward, as you're starting your company,
  454. 16:39you're gonna be building networks
  455. 16:41and you're gonna be increasingly competing
  456. 16:42against other networks.
  457. 16:43So we're gonna get all this network on network files.
  458. 16:45We're gonna get network wars.
  459. 16:47And you're gonna wanna learn tactics
  460. 16:49for how you take down those networks
  461. 16:51and you're gonna learn tactics
  462. 16:52to how to defend your networks against other networks.
  463. 16:56So we're gonna be writing more about this
  464. 16:57and publishing it in the future,
  465. 16:58but the basic idea for the masterclass is this,
  466. 17:02the nodes you have are not created equal.
  467. 17:04So you need methods for measuring
  468. 17:07and understanding who your most valuable nodes are
  469. 17:10so that you can defend,
  470. 17:12or you can attack the ones
  471. 17:14that are in the other networks you need.
  472. 17:15You need to understand how to measure.
  473. 17:17Secondly, look at your take rate.
  474. 17:20A take rate makes you vulnerable.
  475. 17:22Whatever that friction is that you've introduced
  476. 17:25into your network to, maybe, get compensated,
  477. 17:27or for other reasons,
  478. 17:28any friction makes you vulnerable
  479. 17:30to an attack from another network if you've got one.
  480. 17:33And any network that has a bunch of friction,
  481. 17:36or too high of a take rate is an opportunity for you.
  482. 17:39The third thing is if there's network pollution.
  483. 17:42So if there's bad actors,
  484. 17:43if the networks you're in aren't really clean,
  485. 17:46you're vulnerable.
  486. 17:48And likewise, they're vulnerable to you
  487. 17:50if you can provide something better.
  488. 17:51And then the fourth thing to look at would be status.
  489. 17:54So a lot of networks start out pretty high status,
  490. 17:56but then they decline over time as they grow.
  491. 17:59And when that happens,
  492. 18:01there's often an opportunity to attack from the top.
  493. 18:04And if you've gotten too big,
  494. 18:05they can attack from the top as well to find a niche,
  495. 18:08to find a minimum viable cluster,
  496. 18:11and grab that from you
  497. 18:13and then build out their network around that.
  498. 18:16And so a fifth thing would be
  499. 18:17if the nodes in your network are fungible.
  500. 18:19Like, if they're willing to multi-tenant,
  501. 18:22that makes you vulnerable to another network attack,
  502. 18:24'cause they can go and try out
  503. 18:25the other network and decide they prefer it.
  504. 18:27(bright lively music)
  505. 18:31So an example of this would be how SiriusXM went
  506. 18:35and paid a $100 million to this incredible node,
  507. 18:37Howard Stern, to bring him over to their network,
  508. 18:40put him behind their paywall,
  509. 18:42and hopefully bring all of his customers with him.
  510. 18:44And from that, they were able to get more people,
  511. 18:47because they wanted to join the network that node,
  512. 18:49or Howard Stern was on.
  513. 18:51And that's one example.
  514. 18:52Another one would be SushiSwap.
  515. 18:55So SushiSwap basically copied Uniswap,
  516. 18:57but then went after their top node saying,
  517. 19:00"Don't trade your crypto there,
  518. 19:02don't hold your crypto there.
  519. 19:03Do it on our site,
  520. 19:04and we will compensate you
  521. 19:06with our fungible token in order to move over."
  522. 19:08And when they did,
  523. 19:09when they staked their assets over on SushiSwap,
  524. 19:12this was what is now called a Vampire Attack,
  525. 19:14where they went into the most fab and just took them away
  526. 19:16and created a lot of value,
  527. 19:18multi-billion dollar company was formed
  528. 19:19in just a few months
  529. 19:21by doing just such a network on network attack.
  530. 19:24And that is one of the first examples
  531. 19:26that we're gonna see
  532. 19:27about widespread network and network violence
  533. 19:30that we're gonna see again and again and again
  534. 19:32over the next 25 years,
  535. 19:33and you'll be involved with.
  536. 19:34(bright lively music)
  537. 19:39So now you've seen how not all network affects.
  538. 19:40(voice goes mute)

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