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Jack Dorsey on why building something for yourself can be better than trying to solve a problem When a 29 year old Jack Dorsey joined the podcasting startup Odeo, he soon learned that no one there really cared about podcasting either: “That was one of Odeo’s biggest failures. We...

70,434 görüntüleme • 1 yıl önce •via X (Twitter)

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Startup Archive1 yıl önce

Watch the full @Cal_Engineer lecture with Jack Dorsey here:

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Startup Archive1 yıl önce

Want even more startup insights from the world's best founders? Join the 9,000+ founders who read our free newsletter here:

Aryan Agal profil fotoğrafı
Aryan Agal1 yıl önce

Sometimes you just gotta build and see where it takes you

Coop9000🚨 profil fotoğrafı
Coop9000🚨1 yıl önce

I need to build myself a million dollars. I think people would also like having a million dollars. Who wants to invest?

Tony Zhang profil fotoğrafı
Tony Zhang1 yıl önce

It’s utility to yourself gives you the drive to iterate the product The problem it can solve gives you the honor

Justin profil fotoğrafı
Justin1 yıl önce

*Couldn't care less. If you could care less that means you have some degree of care and you could have less. If you couldn't care less that means you have so little care, there is no smaller degree you could achieve.

Mrinmoy Kalita profil fotoğrafı
Mrinmoy Kalita1 yıl önce

Admiration

Artillain profil fotoğrafı
Artillain1 yıl önce

What a banger, thanks!!

Sean Treleaven profil fotoğrafı
Sean Treleaven1 yıl önce

This is an important point for aspiring founders. The founder builds something they are passionate about. And they end being big successes. To promote the entrepreneurial spirit, we should foster this unique perspective.

bottom1 profil fotoğrafı
bottom11 yıl önce

couldn't agree more

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Marc Andreessen: Most successful companies started “product first” “There are products that become companies, and then there are companies that come up with a product. One of the interesting things over the years is that many of the most successful technology franchises were products first, way before they ever became companies.” In this talk, Marc gives a few examples: • His team at the University of Illinois worked on the research project that became Netscape for three years before it became a company • Bill Gates and Paul Allen were deep into PCs before there was a software business • Jobs and Wozniak built the first Apple computer as hobbyists • Mark Zuckerberg was running Facebook out of his dorm room before he ever thought of starting a company • Twitter was a side project at the failed podcasting app Odeo Marc believes that this “product becomes a company” template is successful because “it’s a demonstration that the product has to exist. The market needs the product so badly that somebody actually built it and deployed it and you can actually see evidence that people want it before there was an economic motivation to do so.” He contrasts this with the failure cases he often sees when entrepreneurs try to figure out the idea after starting a company. “It’s very easy in that process to fool yourself into believing that there’s a market because you want to find something and you have a very strong motivation to come up with an answer. It’s hard to go through that process for three months and then say, ‘you know what, we can’t come up with any good ideas.’” There are of course there exceptions. Marc gives Hewlett Packard as an example. But that’s more the exception than the rule. As Marc explains: “The moral of the story is it has to be a really good idea. That often will be an idea that is preexisting at the time you decide to start a company. And if it isn’t, be really careful because you’re walking on sharp rocks at that point with a high risk of falling off the cliff into the ocean.” Video source: Stanford eCorner (2010)

Startup Archive

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#YOUNGJAE recalled how #GOT7 once felt unsure about their musical direction as a team 🌙 among ourselves, we wondered, is it that we were doing too many different things at the time? because usually, when you look at things now, most groups solidify one color and let it settle a bit, and then start doing what they want to do. but for us, our company said, “let’s try this,” “let’s try that,” “let’s try that too.” so at the time, we often said to each other, “why do we feel like we don’t have a color?” that’s something we talked about a lot among ourselves 👤 so that’s what you were thinking… 🌙 yes, it was something we really worried about together. are we doing too much of everything? when it came to GOT7, we felt like there was no musical color that came to mind. like there wasn’t something certain, you couldn’t describe it with just one thing. everyone would always say, “you’re like a rainbow,” “you’re diverse,” “you do many different things well.” but at that time, that actually made us think, “so there really isn’t one thing that sticks in people’s minds about us.” that idea really stuck with us. 👤 i see. i never imagined you all were thinking like that 🌙 yes, we were really serious about it. that we needed to just focus on one thing. but it wasn’t something we could decide entirely on our own, so naturally, we ended up feeling more stressed about it. we wanted to solidify one strong identity and then slowly expand into other areas, but we couldn’t do that, so we were really disappointed among ourselves.

𝐣𝐨𝐲𝐜𝐞

39,149 görüntüleme • 1 yıl önce

Marc Andreessen on the 3 things he looks for when investing in a startup The first thing Marc Andreesen looks for is a big market: “Is there a big existing market that you think you can go after and displace incumbents? Or do you believe there will be a new market that will be big?” The second thing he looks for is a 10x better product: “Is there a fundamental technology or economic change that justifies a new company? And the way I always think about that is: Is there a 10x change happening in the technology landscape? Is something 10x faster, 10x cheaper, or 10x better? If it’s not 10x, we as both VCs and entrepreneurs have to ask ourselves if it’s really worth doing because it’s really hard to start new companies . . . Existing companies are usually pretty good at what they do. So for a new company to exist, it has to bring a product to market that’s so much better than what exists that it punches through the status quo.” The third is the team: “Is the team outstanding? . . . You want to have a founding team of complementary skillsets. You want to have at least one super strong technologist — quite possibly more than one. Some of the best startups are actually more than one founding technologist. And then it often helps to have someone who is a marketing or salesperson who has a really good understanding of business.” Marc believes that you need all three of these, but if you’re going to compromise on one of those as an investor, it should be the product: “A great market is a lot easier to make up for with iterative product execution. The problem with a poor or small market is that even if you do a good job on the product, there just aren’t that many customers so it’s hard to ever get big and people get demoralized . . . And then we evaluate the team of a startup by its ability to get into a big market with a good product.”

Startup Archive

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Mark Zuckerberg on the importance of engineers if you’re building a technology company “We never thought about ourselves as a website or a social network or anything like that.” Mark believes many companies define themselves too narrowly: “It’s one of the things I observed as soon as I came out to [Silicon] Valley. All these companies that called themselves technology companies were not really set up that way. The CEO wasn’t technical. The board of directors had no one technical on it… And it’s like alright, if that’s your team, then you’re not a technology company.” He believes there’s a balance: “You don’t want everyone to be an engineer because there’s other things that matter too. But if you don’t have a high enough share of the company as engineers, then you’re not a technology company.” This makes sense when you view it in the context of Mark’s strategy for Meta: “I define our strategy as: If we can learn faster than every other company, we’re going to win. We’re going to build a better product than everyone else because we’re going to get it out first, we’re going to have a good feedback loop, and we’re going to learn what people like better than other people.” He concludes: “I think that’s basically the formula. Be a technology company. Build a good foundation. Learn from what other people are focused on in the world. And iterate as quickly as you can.” Video source: Acquired Podcast (2024)

Startup Archive

44,116 görüntüleme • 8 ay önce

Elon Musk on raising capital: “You have to show investors that you’re all in” “Tesla almost died in 2008,” Elon explains. “The recession was particularly difficult for car companies, and in the summer of 2008 we had to raise a big funding round. But because of the collapse in the financial system, that funding round didn’t happen and we had to piece together money to keep the company going from myself and existing investors. We were able to complete a financing round that was just barely enough to keep the company going, and we closed it on the last hour of the last day that it was possible to do so. It was Christmas Eve 2008 at 6pm . . . and we would have run out of money a few days after Christmas.” Elon continues: “So while things are going really well these days, I think it’s always important to remember that when you’re creating a company, there are very dark times and it’s about getting through those dark times. That’s the difference between success and failure.” He offers the following advice to aspiring founders: “A company is a group of people gathered together to create a product or service. That’s really all a company is. So you have to really believe in what you’re creating and know in your heart and mind that this is something that matters and that the world ought to have.” Believing whole-heartedly in what your building is especially important for raising capital, Elon argues: “I think it’s important to show investors that you’re all in. For example with Tesla, the fact that I invested all the money I had and was all in — I literally had to borrow money from friends to pay rent in 2008 — made a huge difference to investors and convinced them to invest in Tesla at the same time that GM and Chrysler were going bankrupt. I think you have to show them that you really care, that you’ve got skin in the game, and that you’ve given it everything you’ve got. Then the other people at the company will follow suit, as will investors. I did that at both SpaceX and Tesla and think that’s really fundamental.” Elon also urges founders to only hire people who are passionate about what you’re building: “When you hire people, what you’re really trying to do is convince people to join you in the endeavor. You should hire people who are also passionate about what you’re doing . . . they need to really care about what they’re doing. Then they will stay during the dark times.” Source: Montana Jobs Summit (Nov 2013)

Startup Archive

22,582 görüntüleme • 1 ay önce

Terence Tao has an IQ above 200. Youngest gold medalist in Math Olympiad history. Fields Medal winner. The greatest living mathematician by nearly any measure. And he just said something most people aren’t ready for. Tao: “This whole era of AI is teaching us that our idea of what intelligence is, is not really accurate.” We spent centuries building civilization on one assumption. That intelligence was sacred. Irreducible. Uniquely ours. The one thing that made the entire human story make sense. Then AI started solving things we swore only we could. Chess. Language. Vision. Math. And every time, we reached for the same defense. That’s not real intelligence. It’s just tricks. Just pattern matching. Just an algorithm. Tao: “You look at how it’s done and it doesn’t feel like intelligence.” So we moved the line. Again. And again. And again. Because intelligence was supposed to feel like something. Something deep. Something we could point to and say… this is what separates us from everything else. But AI kept solving the problems. And that feeling never arrived. Tao: “We were looking for some elusive, intelligent way of thinking and we don’t see it in the tools that actually solve our goals.” Here’s what makes it worse. Large language models work by predicting the next word. One word at a time. No grand architecture. No deep understanding. Just probability. And it works. Tao: “Maybe that’s actually a lot of what humans do as well.” The greatest living mathematician just told you human thought might run on the same machinery. Not some transcendent spark. Pattern recognition. Prediction. One thought, one decision, one word at a time. We built religion around intelligence. Philosophy around it. An entire species identity around it. And a machine running probability just held up a mirror. We didn’t lose intelligence to AI. We just finally saw what it always was. What haunts us isn’t that machines learned to think. It’s that thinking was never what we needed it to be.

Dustin

564,080 görüntüleme • 3 ay önce

Jensen Huang just told the story of how the AI revolution started with one customer, one box, and a second-floor room nobody thought twice about. Nobody on Earth wanted it. Huang: “When I announced this thing, nobody in the world wanted it. I had no purchase orders. Not one.” Nvidia had spent billions building the DGX-1. The first AI supercomputer purpose-built for deep learning. $300,000 per unit. The entire technology industry looked at it and passed. Every hyperscaler. Every research lab. Every Fortune 500 with a machine learning team. Not one purchase order. Then Elon Musk found Huang at a fireside chat in 2015. Huang: “He goes, ‘You know what? I have a company that could really use this.’” His first customer. His only customer. Then Musk finished the sentence. Huang: “He goes, ‘It’s a non-profit company.’ And all the blood drained out of my face.” Billions in R&D. A $300,000 machine. And the one person on Earth who wanted it could not pay for it. Huang built it anyway. Huang: “I boxed one up. I drove it up to San Francisco and I delivered it to Elon in 2016.” Not shipped. Not handed off to a freight company. The CEO of Nvidia personally boxed the first AI supercomputer and drove it to San Francisco himself. That is not a delivery. That is a bet. Huang: “I walked up to the second floor where they were all kind of in a room. That place turned out to have been OpenAI.” Pieter Abbeel was there. Ilya Sutskever was there. A handful of researchers, one supercomputer, and a room nobody outside that building could have named. No campus. No valuation. No infrastructure. Just raw talent and one machine the rest of the world had already rejected. Huang: “Just a bunch of people in a room.” That room built ChatGPT. That room triggered a $200 billion industry. That room forced every government on Earth to rethink national security. It started because one founder saw what the entire market refused to see, and one CEO drove the weapon there himself. The trillion-dollar AI industry did not begin in a boardroom. It began with a box in the back of a car, a non-profit that could not afford it, and a bet that every serious person in technology thought was insane. The market was unanimous. The market was wrong.

Dustin

25,119 görüntüleme • 4 ay önce

Ben Horowitz tells the story of Slack’s pivot from a failed gaming app into a $28 billion company Ben recalls investing in Stewart Butterfield’s new company Tiny Speck. In 2001, Stewart began building an online game, pivoted into Flickr, and the company was acquired by Yahoo in 2005 for $25 million. In early 2009, Stewart decided he wanted to try building the online game again. This time, it would be called Glitch. Ben tells the story: “And so he builds Glitch. I love Glitch - it was a marvelous game. But it had two major problems. One, he started it in 2006 and built on Flash before Steve Jobs declared war on Flash. So it wasn’t going to work on the iPhone. And then the other problem was people would finish the game in two days, and so that’s not very good for retention.” After raising more than $15 million to build Glitch, Stewart called Ben to tell his investor that they only had $6 million left: “Ben, I’ve got $6 million left. I have no way to raise money because I’ve made really no progress because of these issues. It’s going to cost me more than $6 million to finish the game. So I’ve got three choices. I can pray for rain and try and finish it. I can shut down the company and give you your $6 million back. Or we build this tool that we use in our engineering team to communicate with each other and make engineering work a little better, and I could just put that out as a product.” Ben replies: “What? You just like built some tool to talk to each other and you want to put that out as a product? And you’re a consumer guy and you want to become an enterprise software guy?” Stewart says, “Yeah, I think it’d be a pretty good idea.” And so Ben said, “$6 million isn’t going to make a big difference in my life. If you really think it’s a good idea and you want to do that, go ahead.” Stewart decided to call the new product Slack, and it soon became the fastest growing enterprise software company of all time before SalesForce acquired it for $27.7 billion in July 2021. Ben points out an important lesson here: “A lot of the process is do you have a secret? Do you know something that nobody else knows? And because [Stewart] was pulling his hair out, literally smoking 8 packs of cigarettes a day, trying to get Glitch out the door, he was doing everything to optimize that development, and so he learned where software development was suboptimal… And that’s a really big key. You have to do something really hard if you want to learn something about the world that nobody else knows or is acting on. That’s when you have a breakthrough. But it starts with hard work.” Video source: UC Berkeley SCET (2020)

Startup Archive

51,352 görüntüleme • 7 ay önce