Lecture 1 – How to Start a Startup [video]
startupclass.samaltman.com
startupclass.samaltman.com
The content is great and communicated well.
Some people prefer making presentations having only some general idea of what they are going to say before hand. Other people spend a good deal of time thinking about exactly what they want to say and how they want to say it. Both presentation styles are perfectly valid.
Where did the parent claim that this was an 'invalid' presentation style?
Lastly, given that this will be so broadly distributed, I totally get the need to be on message so it may make sense to read in this scenario.
That said, the content is strong and for the desired audience it is all probably novel, besides the fact that this was day 1 of a new course.
When I thought about it more though, it seems like the idea of the class is more of a lecture series style than traditional instruction anyway.
Give the guy a break. It's Lecture 1, I'd imagine he was nervous.
I think the visual indication plays a huge part in the perception.
I thought he did a good job. Usually I hate watching a video presentation if there's copy of the text to read. It's way more efficient to read the content than to watch most videos and then set the speed to 4x.
I hate it when speakers "over engage" and keep throwing in jokes, personal anecdotes, rhetorical questions, funny slides etc. in a perceived need to keep people's attention. If a presentation's worth listening to, the content (delivered in a friendly and relaxed way) should be all that's needed to keep an audience engaged. If some people haven't got the attention span for that, it's usually their problem not the speaker's.
I agree that content is king, but the one reason why we attend to classes, events and speeches is to see a great delivery of the content being presented. If not, better handle the written version by email and be done with it.
I'm pretty sure Steve Jobs wouldn't be remembered by his presentation skills if he read the whole thing. That's also not the reason why I remember my physics teacher from 10 years ago.
Let's see how today's goes..
Are these values correct? If you join Dropbox as employee #100 with 10bp, you're 10bp is going to get massively diluted through subsequent rounds, no? Isn't it more like $1-2mil? And also this is wealth on paper, which means that you don't all of the sudden have $10mil sitting in the bank. I don't think he explains that but that's how it's portrayed, and is probably worth explaining, given the audience.
Being a senior-ish employee at a Pre-IPO (i.e. Series C/D company, on a great trajectory, and an obvious winner) is probably the optimal outcome for total compensation; for cash, consulting, if you can find the right niche.
(Startup founder MAY actually be superior to Seed/Series A startup employee, though, especially due to both tax issues and what happens when the company does anything less than stellar. OTOH, you can jump ship as a Series A employee, even manager, with no real negatives; if you're a founder, you're pretty much committed until the end, or at least until some serious inflection point, especially in a suboptimal outcome.)
One thing worth noting is that Dustin's slide apparently fails to take into account the cost of exercising options. You can absolutely make a lot of money at a startup, and you don't even need to be one of the earliest employees to do so, but today's valuation trend works against employees. Startups are raising money at significant valuations earlier and earlier, so even early employees aren't receiving cheap equity.
As an example of this, consider that Facebook had sold shares at a $15 billion valuation just three years after the company was founded. Google went public at a valuation under $27 billion (edit: corrected). If you had your choice, you'd almost certainly have received a better equity package as an early rank-and-file employee of Google versus Facebook.
[1] http://fortune.com/2014/03/25/aaron-levie-owns-more-of-box-t...
I had a friend who turned down a job at Facebook in late 2008 because he felt the 15 billion valuation was very high and it limited his upside. And before about July '13 when FB's stock started a huge rise, this was pretty correct thinking.
There is also still a problem with all of this revisionist valuation stuff for a company like Facebook. It only would be worth some obscene amount if:
a) you got a generous stock option package when you joined
b) you stayed with the company until the IPO (so you could actually both have a chance to sell your stock and pay the exercise costs)
c) you didn't sell until right now after the stock has massively appreciated in the past year.
And even still you are going to be paying regular income tax on all of that gain which is going to be around 50% if you live in California.
[1]: http://www.washingtonpost.com/wp-dyn/articles/A14939-2004Aug...
Your friend didn't necessarily make a bad decision. Facebook traded as low as ~$18/share in 2012 and didn't get back to its IPO closing price until mid-2013.
According to a media report[1], at one point, even employees who joined the company as late as the end of 2010 were underwater. So anybody (you, me, your friend) could have purchased FB shares with a cost basis lower than that of many employees.
Given this, it's somewhat disingenuous for Dustin to use Facebook's current valuation to demonstrate "getting rich at a startup." It's actually a better demonstration of "getting rich trading the stock market." Adding insult to injury is the fact that the investor with long-term capital gains receives more favorable tax treatment on his or her gains than employees usually receive.
Incidentally, employees who don't exercise and sell as soon as they can are effectively investing their hard-earned gains back into their employer's stock. Depending on how well the company's stock does, and when sales are timed, this can either be a really profitable thing or a really unprofitable thing.
[1] http://www.businessinsider.com/facebook-lockup-release-2012-...
That is not correct usage of the term. According to external report, Facebook stopped issuing stock options to employees as of 2007. People joining in 2010 would be receiving RSUs, whose "strike price" is $0. While the monetary value of the shares at IPO was different than the value they imagined, they would not be underwater (having a strike price above market price, thus rendering options meaningless).
http://www.nytimes.com/2012/02/02/technology/for-founders-to...
Still, this is a red herring. The fundamental point of my comment was that in the past couple of years, every single person here had the ability to purchase Facebook shares on terms just as favorable if not more favorable than many Facebook employees without having to spend a single day working for the company.
In fact, in the past several years, you could have on favorable terms purchased shares in any number of tech companies that have delivered fantastic gains to shareholders. Obviously, timing investments (or trades depending on your persuasion) is easier said than done, but it's probably no more difficult than trying to determine whether the startup you're going to work at for the next four years of your life is the next Facebook or the next MySpace.
But RSUs are not purchased, they are gifted. So having an opportunity to purchase 10,000 shares of FB at low-low 2012 prices is still expensive compared to a gift of 10,000 shares vesting over 4 years.
I pulled the 10,000 number out of a hat, but I'm not too far off - here's a question from 2011 http://www.quora.com/Is-110-000-and-15000-RSUs-a-good-starti... numbers were probably more attractive at earlier years.
Consider this scenario: a company offers me 10,000 RSUs when its shares are valued at $50/share. When the company goes public the value of the shares soon drops to $20/share. What I thought was worth $500,000 is now worth just $200,000 (pre-tax). That's a huge difference. Had the company's shares been valued at $20 the time I was offered a position, I might have negotiated for more of them.
Now, to be fair, maybe salary plus $200,000 is still the best compensation package (and overall outcome) available to me, but that doesn't mean that it was risk-free or cost-free.
As for the cost of purchasing 10,000 shares of Facebook stock outright, yes this is expensive. But you can easily establish a meaningful leveraged position through the use of options if you have the conviction. Also, keep in mind that this is precisely what employees do when they fail to sell their shares when they first have the chance. A Facebook employee who has $500,000 in newly-vested shares that can be sold, but who doesn't sell, is in effect purchasing $500,000 in Facebook shares in the hopes that they will rise in price. If they fall in price, his or her loss is still very much a loss, even if it looks less painful because the shares were purchased with labor instead of cash.
He was way off and probably did not ask the recruiter proper questions. Common stock issued to employees is a different class from preferred stock issued to Microsoft.
> Even if you joined Facebook as employee #1000, so you joined it in like 2009, you still made 20 million dollars.
I find it hard to believe that it is true, but obviously both you and the speaker know much more about it than I do. However I've also seem people commonly overstate things like this.
Some basic math:
$200 billion current value / ($15 billion value in 2009 * 50% discount factor from preferred to common) = 26.6x
So already assuming the most optimistic things [1], to get to $20 million dollars today, you'd have needed to get the equivalent of $750k worth of RSUs in 2009. Even vesting over 4 years that seems like an extremely high amount, high by a factor of about 5-10x of what I'd guess.
And don't get me wrong, I have no doubt people who joined Facebook in 2009 earned quite a bit of money assuming they held onto the stock. But 20 million dollars is a big number.
---
[1]: The employee joined in 2009, you still work there, you haven't sold most of your stock (which is impossible because you had to sell some in the IPO to pay your taxes, but whatever)
* typically at that stage those levels of equity are reserved for highly desirable hires that would otherwise be tough to get
* this discounts the effects of dilution that each new investment round (as well as IPO) brings along
I think his point was to provide a ballpark figure to illustrate the main idea - you might have more impact (and receive appropriate compensation) even when joining a late-stage company, so don't dismiss that opportunity without at least considering it.
Taxation rarely plays into such arguments, since by the time the company reaches employee #1000 it's likely to be global, and similar employees with similar compensation packages in California, Washington, Canada or Switzerland are likely to see substantially different after-tax amounts.
That is not the entire story.
Microsoft invested $240 million in exchange for certain number of shares (constituting 1.6% of total Facebook shares issued) at the time plus a 3-year exclusive right to sell banner ads on Facebook through Microsoft AdCenter.
The $15 billion valuation is only correct if:
1) Microsoft bought common stock with no liquidation preferences or special dividends.
2) An exclusive 3-year right to sell banner ads on Facebook is worth $0.
I'm not saying it was wrong or that his delivery was bad. But I remember reading the Class Notes from Thiel's class after Blake made them available and thinking "Wow, there's some original thoughts in here I haven't come across before."
Maybe it's because PG already put it all to paper, and some of these other figures just added post scripts. Maybe it was a solved problem by the time Sam got a seat at the table. Just some food for thought. Looking forward to the other lectures regardless.
This is part of the reason I believe PG picked Sam, he thought Sam internalized & helped form the YC approach to startups. The two are like Epicurus & Lucretius; Leucippus & Democritus.
India has produced about 3 big ~billion dollar compaines in the recent past - inmobi, flipkart, druvaa. None of the founders really started to 'solve' a problem they were passionate about. What they were really passionate about was just 'starting up' - and based on their personal strengths, industry knowledge and what they thought could be sold, stumbled on these big businesses. This was probably true for HP too.
It is absolutely ok to do a startup just for the heck of it. Get in the game and find out the intersection of what you can build and what a customer will buy. If you build a big business - the passion will follow. Do not forget to bullshit though on your big interview on how the so solved problem kept you awake at nights - it makes for some good reading and impressionable pr.
4 critical parts: Idea, Team, Product, Execution
1. Idea
-> Good startups take about 10 years
-> Startup should feel like an important mission
-> Hardest part coming up with great ideas: best look terriblea t the beginning (e.g. search engine, social networks limited to college students without money, a way to stay at stranger's couches)
-> "Today only a small subset of users want to use my product, but I'm going to get all of them"
-> You need to believe and willing to ignore naysayers
-> Most people will think your idea is bad: be happy. they won't compete. it's not dangerous to tell people your idea.
-> it's okay if it doesn't sound big at first. first version should take over a small specific market and expand from there. unpopular but right
-> take the time to think about how the market will evolve. market size in ~10 years. think about growth rate of the market instead of its current size. small, but rapidly growing market! people are desperate for a solution
-> you cannot create a market that does not exist
-> there are many great ideas, pick and find one you really care about.. "SW is eating the world"
-> "Why Now?" - dixit Sequoia - have a great answer to this question
-> Build something that you yourself need. You'll understand it a lot better.
-> Get close to your customers. Work in their office or talk to them multiple times a day
-> If it takes more than a sentence to you know what you're doing, it likely is too complicated
-> "Do more when you're a student." Think about new ideas and meet potential co-founders
-> Think about the market first and you'll have a big leg up
2. Product
-> Great Idea > Great Product > Great Company
-> Until you build a great product, almost nothing else matters
-> Sit in front of the computer working on product, or talk to your customers
-> Biz Dev, Raising Money, Raising Press, Hiring are significantly easier when you have a great product
-> Step 1: build something that users love
-> YC is all about: Exercise, Eat, Sleep, Work on Product and Talk to Customers
-> "It's better to build something that a small number of users love, than a large number of users like"
-> Get growth by word of mouth. This works for consumer as well as enterprise products. You'll see organic growth. If you don't have some early organic growth, then your product isn't good enough. It's the secret sauce to growth hacking.
-> Breakout companies always have a product that's so good that grows on word of mouth
-> Great products win. Make something users love.
-> Keep it simple. Look at first versions of Google, Facebook, iPhone
-> Founders care about small details. They're fanatical
-> One thing that correlates with success is hooking up PagerDuty to their ticketing system. Response time within an hour.
-> Go recruit your first users by hand to get feedback every day.
-> When everyone tought Pinterest was a joke, Ben Silbermann walked around coffee shops in Palo Alto to convince people to use Pinterest. He set Pinterest to the home page in the Palo Alto public library so people would discover the website. Do things that don't scale. Read Paul Graham's essay.
-> Create a tight feedback loop. What do users like? What do they pay for? What would make them recommend it?
-> Try to keep your feedback loop going for all of your companies' life
-> Do sales and customer support yourself in the early days. This is critical. Do not hire these people right away.
-> Keep track of metrics. Look at active users, activity levels, cohort retention, revenue, etc. Be brutally honest if they don't go in the right direction
-> If you don't get your product right, nothing else in this class will matter.
Why start a startup?
-> "It's glamorous", "You'll be the boss", "Flexibility", ...
-> Entrepreneurship gets romanticized
-> The reality is not so glamorous. It is a lot of hard work. You're sitting at your desk, focused, figuring out hard engineering projects. It is quite stressful.
-> Founder depression is a real thing. If you start a company, it's gonna be extremely hard
-> You have loads of responsilibity
-> You're responsible for the opportunity cost of the people who decide to follow and help you out
-> You're more committed. A founder cannot leave a company. For 10 years if it's going well. Probably for 5 years if it's not going well.
-> "Number one role of a CEO is managing your own psychology"
-> You're always on call, you're a role model. You'll always be working anyway
-> If you joined Dropbox or Facebook early on, your financial reward might be a lot better than when starting a startup
-> If you join a later stage startup, you have more impact - massive userbase, existing infrastructure, work with an established team. E.g. Brett Taylor was employee #1500 at Google and he invented Google Maps. He got a big financial reward for this.
-> What's the best reason? You can't NOT do it. You have to make it happen
-> Do it out of passion
-> The world needs it (if not, go do something else) and/or the world needs you (you're well-suited to do it). The world needs you somewhere, find where.
Good notes. A few typos.
Just as trying to think up startup ideas tends to produce bad ones, working on things that could be dismissed as "toys" often produces good ones. When something is described as a toy, that means it has everything an idea needs except being important. It's cool; users love it; it just doesn't matter. But if you're living in the future and you build something cool that users love, it may matter more than outsiders think. Microcomputers seemed like toys when Apple and Microsoft started working on them. I'm old enough to remember that era; the usual term for people with their own microcomputers was "hobbyists." BackRub seemed like an inconsequential science project. The Facebook was just a way for undergrads to stalk one another.
http://www.paulgraham.com/startupideas.html
I'm not too keen on Dustin Moskovitz's whole spiel about telling people not to start startups. In a course about how to start startups, it seems really misplaced.
Sam's message here is to try and shift the balance back to where it should be. PG says that they seemed like toys. Not that they were toys. I think what they've said is very well aligned. Many people in the past few years have totally dismissed having a good idea as being important.
Similarly, Dustin Moskovitz is just trying to counterbalance the way over-romanticized view of startups in our culture. Many people get into startups for the wrong reasons, and anyone convinced not to by what he has said is probably much better off.
Of course, eventually you want to do something important. But since we are talking about starting a startup, I just can't see how sama's advice aligns with this, for example:
I think the way to use these big ideas is not to try to identify a precise point in the future and then ask yourself how to get from here to there, like the popular image of a visionary. You'll be better off if you operate like Columbus and just head in a general westerly direction. Don't try to construct the future like a building, because your current blueprint is almost certainly mistaken. Start with something you know works, and when you expand, expand westward.
The popular image of the visionary is someone with a clear view of the future, but empirically it may be better to have a blurry one.
http://www.paulgraham.com/ambitious.html
I read Thiel's book and class notes, in which again he talks about having a vision and big idea. Sounds great until you stop to think about how Thiel's own startup Paypal came about.
Quoting Max Levchin from Founders at work:
I think we didn't know what we were doing. I think the hallmark of a really good entrepreneur is that you're not really going to build one specific company. The goal—at least the way I think about entrepreneurship—is you realize one day that you can't really work for anyone else. You have to start your own thing. It almost doesn't matter what that thing is. We had six different business plan changes, and then the last one was PayPal.
If that one didn't work out, if we still had the money and the people, obviously we would not have given up. We would have iterated on the business model and done something else. I don't think there was ever any clarity as to who we were until we knew it was working. By then, we'd figured out our PR pitch and told everyone what we do and who we are. But between the founding and the actual PayPal, it was just this tug-of-war where it was like, "We're trying this, this week." Every week you go to investors and say, "We're doing this, exactly this. We're really focused. We're going to be huge." The next week you're like, "That was a lie."
Paypal didn't follow any of Thiel's recipe for a great startup:
They didn't start out with a very clear plan or big idea. They pivoted lots. They had intense competition.
www.ProjectAmericanDream.com
Edit corrected typo in time worked.
> If you're going to work 80h/week anyway and you're a talented coder: source one contract job billing hourly in London and another in SF. Working out of EST you work 5AM-9PM on a 10-6 in both places -- Billing $80/hr with a good corporate setup and working 4000 hours/year you can get 320,000/year
I seriously doubt most people can produce 40 billable, quality architecture/programming hours a week, let alone 80 -- especially over a long period of time. Anyway 80/hour is way low for quality work as a consultant; 100 usd/hour should be a minimum. Target a more manageable 2300 hours a year (6 day work week or 5 long days) and invoice 230 000/year.
> if you have EU citizenship (potentially from one of the return countries) and US citizenship you can probably setup a decent double irish and keep about 280,000+ of that in offshore money.
Yeah, stealing (or tax evasion) is an easy way to get rich. If you want to break the law, you might want to look into smuggling or credit card fraud/skimming as well...
Extending this kind of reasoning leads to condoning such great corporate pioneers as Union Carbide and Dow Chemical (although I don't want to equate embezzling public money (via tax evasion) and killing and crippling people).
It does strike me as extremely short sighted when corporations that benefit immensely from government schooling, research etc go to such great lengths to dismantle the institutions that facilitate their access to skilled labour (among other things).
All that said, if you sneak away a million US or so, go for it. It makes no difference what any one individual does as such; I just wanted to demonstrate that I, at least, take issue with the idea that avoiding taxes should be considered on equal footing with launching a ground breaking technology company. I think the two are quite opposite, even if one might evolve into the other.
And I'm not saying that's what you said, the advice just seemed rather glaring in this context.
Contrary to popular belief, not all tax evasion is created equal. A few hundred thousand by an individual is literally a rounding error to tax revenue. Take your tax crusade to Apple, Google, Amazon, Microsoft and the rest of the billion dollar club who are stealing your precious taxes by the hundreds of billions.
Which is why I said: "All that said, if you sneak away a million US or so, go for it. It makes no difference what any one individual does as such(...)".
> (...) it's a fact that a large number of very profitable companies have avoided hundreds of billions of dollars in taxes over recent years. (...) Take your tax crusade to Apple, Google, Amazon, Microsoft and the rest of the billion dollar club who are stealing your precious taxes by the hundreds of billions.
Doing one does not preclude the other. If a company destroys wetlands by dumping chemical waste, that does not make it ok for an individual to destroy a small grove by doing the same.
What I probably failed to get across is that my main point is that I don't think it is OK to dodge taxes; I'm fully aware that pretty much anything any one individual does becomes a rounding error compared to what a big corporation does. But corporations are made up of people, and those people are guided by among other things prevailing sentiment. So the young whipper-snapper that starts out by dodging some taxes today, might think little of dodging billions in the capacity as CFO in thirty years.
For the majority of people who go this route instead of starting their own company, they will be better off economically in ten years time.
Start a boutique consultancy with a buddy. Hire up until you get to ~8 employees. Continue for 10 years. Congrats, you're a millionaire.
Everyone knows the management consulting / investment banking career path, right? Congrats, you're a millionaire.
Go to med school. Specialize in whatever the high-demand fields are, like e.g. anesthesiology. Execute competently for 10 years. Congrats, you're a millionaire.
It's a really good time to in history to know how to program computers.
The market really is this good.
Let's assume the "big" guys (Google, Facebook, etc.) regularly pay average total compensation around $250k, so that patio11's remark is correct. So what? As many employees as they employ, they represent a small fraction of the number of people who are very well qualified programmers and engineers. Their salaries are by no means common. The market is good, but it's not that good.
My rudimentary calculation shows you need to save ~50k in the first year, get 4% raises, keep expenses constant, and get a 5% return. Bonuses, options, etc are on top of that. Also, you could get step-raises in the middle for bigger promotions. And, you could marry someone doing the same thing and get there faster.
I would have expected the message to be that the most successful founders in the long-term are the ones that figure out the right work/life balance, to ensure they don't burn out. In other words, successful founders are able to be focussed and driven for the hours that they work, and in recharge-mode when offline.
This is intuitively what I would have expected and I'm curious if the message from the lecture of "work all day, everyday" is really right.
The whole point of my comment is precisely about the fact that extra hours don't necessarily represent proportionately greater productivity. If investors only look at number of hours you work and not what you produce, then I'd be fearful for their cash.
The lecture conveyed the "all day, everyday" message and that goes against my intuition.
This is the first time a lot of the YC flavor of startup how-to material has been presented in a lecture video format[1]. I suspect much of the long-term audience of these lectures wouldn't have come across pg's essays, Blake Masters' Peter Thiel startup notes or Dustin Moskovitz's excellent Medium posts before. Maybe some lecture watchers were allergic to long-form articles, or maybe some would rather receive a weekly email with videos. Myself, I consume this sort of material on my walk to work, either text-to-speeching essays or listening to lectures. The video lecture format was especially fun, I watched it full screen on the TV while eating an enchilada and poking my fiancee about points she might find relevant to her side project. How often do you get to consume this sort of content like that?
Having read pg's essays[2], I still had a number of "aha!" moments from Sam's slides and hearing his presentation. And hearing Dustin describe in his low-key tone why you should be employee 1,000 at an obviously successful startup rather than start your own, and backing it up with charts and photo-jokes about the elephant in the room was just entertaining. Seeing "this is how we'll teach you to do this thing. Here's an expert on why not to do this thing." is not always the type of juxtaposition you get with standalone online essays.
Looking forward to the next lecture. I'd say it's well worth the time and opportunity cost of putting this all together, so thanks all involved.
[1]: Yes, some Lean Startup™ and Principles of Entrepreneurship™ flavored material has been presented in lecture format before, but not YC™ lensed AFAIK.
[2]: Okay, I skipped the early seemingly pure-Lisp-focused ones. Though like Zen and the Art of Motorcycle Maintenance isn't about a long motorcycle trip, and maybe pg's Lisp essays are not really all about writing Lisp?
I'm usually sceptical about start-up chances, I know how much work it means, and I know that a lot of early-stage employees get rich, too. Yet, I don't think you can get rich this fast/easy with a modest degree... Even as early-stage employee often you'll still get a raw deal or you overestimate their chances of success.
There's still some good advice for those of us not interested in that life style. I was particularly taken with the idea of building something that just a handful of people will really love. Having a rapt-audience for your product would be a huge win if you decide to build more, scale up, or sell out.
I think it's really good that they're at least trying to convey how difficult building the style of companies they're talking about can be. I can appreciate how challenging that must be. The cultural yard-stick for success these days are valuations and IPOs. There's a ton of pressure to go that route especially from YC. I'm glad they're being conscientious about it even if they don't 100% succeed at removing some of the glimmer from the stars in peoples' eyes.
There's nothing wrong with wanting to start a smaller enterprise and aspire to keep just a handful of customers you know by name.
What does that mean? I'm not trying to rip on the video or anything like that, but am genuinely curious as to how much luck Sam Altman thinks is involved in a startup.
It depends on his ethics, of course, but I'd say this recommendation alone means he believes there to be a substantial chance...
I would also love if they cover how you work on a startup if you still have the 40 hours a week programming job as well. And how to avoid getting in trouble or legal issues with your job.
- The Hard Thing About Hard Things
- Zero to One (CS 138A)
- The Facebook Effect
- The 15 Commitments of Conscious Leadership
- The Tao of Leadership
- Nonviolent Communication
EDIT: http://consciousleadershipforum.com/wp-content/uploads/2011/... is the answer, I believe.
Here's a link> http://www.businessconjunctions.com/2014/09/05/do-good-leade...
How does this compare with an MVP approach where you put something out there first and test the market. Then there is the issue of runway. With enough time, you can start with an MVP and iterate in private beta until users love it, but in many cases a founder is not going to have that kind of runway. They have just enough resources to put something together, and they're going to have to go out to the market with that and iterate on the fly. Unfortunately, once you do get out there and need to take on all of the other responsibilities, then that's time taken away from building a great product.
This is all theoretical on my part, FWIW--I have not successfully built such a thing on my own yet.
YC is still a for-profit company, after all.
Anyone have thoughts on this?
But: YC (and therefore every YC company) is < 8 years old
What startups succeeded after this long (AND were still actually considered startups)
Even if you consider the massive tech IPOs and classic success stories, the timeline between incorporation and IPO is pretty long. Microsoft was founded in 1972 and IPO'd in 1986. Google took 9 years from incorporation to IPO, and it was 8 years from Zuck launching 'thefacebook' until the Facebook IPO. I think this backs up Sam's assertion that a startup is a 10 year commitment for a founder.
Probably the best way to know how to build a successful one is knowing how to build one that won't fail!
It's much easier for me to consume lectures as text rather than watching the video.
"Your idea is important too, but mainly as evidence that you can have good ideas. Most successful startups change their idea substantially."
Your path is your own.
Just start doing it, and whenever you get stuck or need feedback ask someone whose expertise you trust for advice on a particular issue you're dealing with at that moment.
Running a startup is more like improvising in a jazz band. There is some theory behind it but if you think you stink.
I would argue that he agrees. However...
The general who wins the battle makes many calculations in his temple before the battle is fought. The general who loses makes but few calculations beforehand. - Sun Tzu
Both intellectualism and the ability to improvise are necessary. Arguably, if you have to adapt then a calculation has failed. Hearing the sound of thunder is not the mark of a keen ear, neither is entering battle and winning the mark of a great general.
There is no point reinventing the wheel. Many have come before and it seems wise to assimilate their experience with a critical mind.
Instinct ultimately rises from your existing body of knowledge. And even in jazz it emerges from a bass line.
Ycombinator companies have access to this advice yet most of these companies fail. Thats just how it is. You can get structural advice from a laywer the rest is up to you to explore.
There are many ways to success following advice can both take you down the right and the wrong path so can not following it.
There is only one test and that is reality. If you believe otherwise you are fooling yourself imho.
I'd much prefer incoherent rambling, than this robot presentation. Put the script on a blog somewhere.
The first part of the lecture was on the "Idea", and I want to give an alternative approach.
First, do I believe that what Altman describes can work and is what he has seen has worked? Definitely yes.
Second, is that all that can work? I don't think so.
Third, do I suggest that the alternative approach I describe here will be common and/or always better than what Altman describes? No. Sometimes better? I do believe so. But even if the alternative approach is rare, that should not be a huge obstacle since the success Altman is talking about, the goal, is also rare. That is, for the rare successes, we should expect that some of the means will also be rare and not common.
But for the alternative approach, given that it is rare, we should have some solid evidence of its effectiveness, and I believe that we can.
I want to propose that it can be possible to have an idea, test it, essentially just on paper, and, if it passes the test, be quite sure the resulting product will be good and fairly sure the resulting company will be successful.
Yes, I'm proposing that the alternative approach provides a way to have the idea be by far the most important part of the work and the rest, e.g., the execution, be routine.
Or I would say that a good idea is one that makes it through the filters of my alternative approach. Then I am claiming that with a bad idea, yes, execution is everything but with a good idea execution is routine.
Yes, to me, the ideas like Altman describes look to me as far too unpromising to be taken seriously and promise that, yes, indeed, execution will be many times more difficult than the idea. Indeed, Altman is admitting that many start ups fail, that building a successful start up is difficult. I would agree that, starting with a bad idea, building a successful start up is difficult.
Now, for the alternative approach for finding a good idea for a start up:
First, the alternative approach is very selective, that is, rejects a lot of ideas. Some of the ideas the approach rejects will be able to be the basis of successful companies. The alternative approach rejects ideas when it just cannot build a rock solid case that the idea is good. E.g., the alternative does not know how to conclude that the ideas for Facebook or Twitter would lead to success. The alternative wants to accept only good ideas and in doing so will reject a lot of good ideas. The alternative approach asks for a lot from an idea, and many good ideas will not have that much.
Second, Altman does emphasize that a need and a corresponding solution one person sees in their own life can be relevant. Okay, I've been there and done that, that is, I've seen needs and solutions.
Third, what I'm proposing for an alternative is, at least in broad terms, and compared with what Altman describes, much older, much more thoroughly tested, and with a much better, really excellent, track record.
Actually, we all know at least something, maybe a lot, about the alternative and its track record. I learned about the alternative early in my career doing mostly US DoD projects around DC and also some other experiences, but there is much more information about the alternative readily available far from me.
So:
(1) Need.
To make the alternative work, we have to start with a suitable need, i.e., market need, that is, a suitable problem to solve. We want the first good or a much better solution to be, obviously, no doubt, a "must have" and not just a "nice to have".
Next, for this need, we want to find the first good or a much better solution, presented just on paper.
Then we want to evaluate the solution, also just on paper. Sorry, no, we don't "get out of the building" and talk to other people.
Big example of such a need? Okay, we'd like to have a safe, effective, inexpensive one pill taken once to cure any cancer. So, yes, early on, for Facebook, Twitter, Snapchat, a lot of doubt. For such a cancer pill, we have "no doubt"; to know this we don't have to "get out of the building", ask people, throw trial solutions against a wall to see if there is interest, etc.
(2) Solution.
Given the need from (1), we try to find a solution. If we fail here, and likely we will, we return to (1) and find another need. E.g., clearly so far the one pill cure for any cancer will fail here for at least a long time.
We want a solution that we are sure, "no doubt", will be the first good or much better.
Here's a way: Start with the real problem and see what about it we can assume. Then convert this problem and its assumptions into a mathematical problem. So, we are limiting ourselves to needs that lead faithfully to mathematical problems. Sorry, no intuitive heuristics need apply.
Next find a mathematical solution.
Develop the mathematical solution just on paper, as carefully done theorems and proofs, and then severely check the proofs.
Then observe that it is totally clear that the mathematical solution will be fully close enough to the first good or much better solution we want for the need.
If any of the work here in step (2) fails, then return to step (1)
(3) Product.
Write software to do the data manipulations specified by the mathematical solution. Severely check the software. That's essentially the product.
If fail here, then return to (1).
Track record? Okay:
(A) GPS.
(B) The version of GPS done first by the US Navy for the SSBNs.
(C) Beam forming in passive sonar.
(D) The A-bomb of WWII -- all three exploded just as planned.
(E) The H-bomb of the 1950s -- first test, 15 million tons of TNT.
(F) The SR-71, for Mach 3+, 80,000+ feet, 2000+ miles without refueling; proposed by Kelly Johnson just on paper; built and flown just as proposed.
(G) Keyhole satellite, essential a Hubble, before Hubble, but aimed at earth instead of space.
(H) The F-117 stealth, essentially a modified F-16, flew as planned, through Saddam's anti-aircraft artillery without a scratch.
(I) The airplane the Wright brothers took to Kitty Hawk, NC.
(J) Phased array radar for Aegis class ships.
(K) High bypass turbofan engines.
(L) RSA encryption.
(M) Hubble.
(N) LHC.
(O) COBE, WMAP, and Planck.
And there are many more. Such projects that failed in execution? Tough to find. Batting average? Near 1000.
Right: Projects A-O are all just technical projects. Right. But in each case they provided the intended solution for the need. As we have explained, to have a successful technical solution lead to a successful solution in business, we want such a solution to be a "must have"; else we return to (1).
The high bypass turbofan jet engine a commercial "must have"? Darned right: It saves an ocean of expensive jet fuel. How? Simple: Burning jet fuel releases energy. Want to convert that energy to kinetic energy and get the resulting momentum. But for mass m and velocity v, kinetic energy is (1/2) mv^2 and momentum is just mv. So, we pay in energy (1/2) mv^2 and get in the momentum we want mv.
So, since in kinetic energy we have v^2 but in momentum have just v, to get more of our desired momentum from our given, available energy, we want m to be large and v to be small. So, mostly we want to use the hot gasses from the combustion to turn a big ducted propeller that moves a huge mass of air at a low velocity. Instead, the military jet engines intended for supersonic speeds, and long used in commercial aviation because they were available, move a smaller mass at high velocity. So, for commercial, subsonic flight, a high bypass turbofan is a "must have". Then have the first good one or a much better one, as we have assumed, and very much should have a successful business.
You seem to be talking about developing new technologies. Sam is talking about commercialising them. There's a big difference. In almost every of the cases you listed the technology was built in response to customer demand.
Getting an idea all the way through the filter might be challenging. But, it seems to me that for an idea that does get through the filter, execution should be routine and project success quite likely.
But the execution was fully routine, that is, low risk.
> couldn't have been done by a startup
Right. But maybe in the future, and because of my main point: It's fully possible for the planning to be rock solid and lead to a successful product with low risk. That's the main point -- it really is possible, indeed, in applied science and engineering, nearly standard.
That the examples were not commercial products need not detract much from the main point -- again, we can plan just on paper and have a low risk, high payoff project.
But now we have enhanced opportunities: The math I assumed can be cheap, for someone with an appropriate math background, dirt cheap, fast, fun, easy, and low risk. Then for the product, I assumed that that is just software. So the guy who does the math also does the software -- we're still in the low budget area. Next, the product needs computer hardware, but now enough computer hardware to execute 100,000 lines of code can be less than $2000.
If the product is just a Web site supported by ads, then for just a focused start, where I agree with Altman, might do quite well: E.g., maybe the start up sends Web pages of 400,000 bits per page. Each page has on average 5 ads. From the Mary Meeker data at KPCB, maybe get paid $2 per 1000 ads displayed (CPM = $2). Maybe have an Internet connection with 25 million bits per second upload bandwidth. Maybe half fill that 24 x 7. Then the monthly revenue would be
2 * 5 * 25 * 106 * 3600 * 24 * 30 / ( 2 * 400,000 * 1000 ) = 810,000
dollars. That's enough to fuel organic growth.
So, on average, how many Web pages sent per second?
25 * 106 / ( 2 * 400,000 ) = 31.25
Depending on the project, that might take several computers at $2000 each, but if early on send just 1 page a second, and for some projects early on one computer could do that, and get monthly revenue of
1 * 2 * 5 * 3600 * 24 * 30 / ( 1000 ) = 25,920
dollars so that in one month have free cash flow enough to buy computers enough to send 31.25 Web pages a second.
The 31.25 Web pages a second is a lot of Web pages per month, is
31.25 * 3600 * 24 * 30 = 81,000,000
So how to justify this? Well, as we assumed, the first good or a much better solution for the problem is a "must have". The problem has been selected so that we can attack it essentially just with math. We do the math, as theorems and proofs, and check the proofs carefully -- fairly routine and low chances of errors for a well trained pure/applied mathematician. We convert the math to software and check the software -- again, fairly routine with low risk of errors. Now we have the product, and it is a "must have". Then we go to Altman's lecture and use what he said about viral growth. And we use the assumption that the problem is such that many people want the solution (I hope I made that assumption clear also). What's left to do? Get the checks from the ad networks. Yes, very much do need to meet the assumptions, find the solution, write the software, etc., and if can't then return to (1) and try again.
Once I had a project that looked pretty good on the alternative approach, but the software was going to be too much work because I'd need to write a lot of code for a lot of data collection and with too little information about what the APIs and interfaces were or would be. So, I dropped the project. That is, back to step (1).
You are correct that nearly all the successful, famous projects I listed were, yes, routine, but expensive to execute. And for a start up, we need projects that are cheap to execute. Do such projects exist? I believe so.
E.g., right up front in my post I said, as a summary, and overview, and a statement of my purpose in my post:
> I want to propose that it can be possible to have an idea, test it, essentially just on paper, and, if it passes the test, be quite sure the resulting product will be good and fairly sure the resulting company will be successful.
To me, this statement of mine about the idea is very different from what Altman said and very different for the plan and the resulting execution and business. Here I will avoid taking enough words to quote enough from Altman's lecture to show these differences; I assume we agree that, on the idea Altman and I are saying very different things.
For your
> in all of the examples you give, the execution was vastly more difficult than the idea.
Sure, but if you are concerned about this then you are not really responding to what I wrote.
All the examples (A)-(O) do illustrate what I said about the idea.
For execution I said that with a good idea, execution should be routine and low risk. Projects (A)-(O) also illustrate this point -- routine and low risk -- about execution. So, with a sufficiently good idea, execution can be routine and low risk. Here, too, what I am saying is different from what Altman said.
You are also concerned about the amount of effort in the execution. Right. And, right, mostly the projects (A)-(O) do not illustrate low effort. Okay. But we can't use those projects to conclude that there are no projects, start ups, that follow what I said about ideas and that have have low execution effort.
So, for effort in execution, can we also have projects that have low execution effort and, thus, are suitable for start ups? Well, except maybe for the project (L) RSA I listed, the projects in (A)-(O) do not illustrate low effort.
But I do believe that, as we select projects, we can also have some that follow what I described and also have low execution effort. How? Broadly, just do what is the focus of Hacker News -- Information technology that exploits Moore's law and current infrastructure software.
E.g., in
The Happy Demise of the 10X Engineer By Sam Gerstenzang at
http://a16z.com/2014/07/30/the-happy-demise-of-the-10x-engin...
is a discussion of the question:
"How long before we have a billion-dollar acquisition offer for a one-engineer startup?"
So, this is from A16Z: They are guessing that the issue you raised about "effort", we should be able to have a "billion-dollar ... one-engineer startup".
So, A16Z and I agree that now, in information technology start ups, low effort in execution is reasonable to expect.
The A16Z arguments add to mine and do not conflict. I would suggest that my arguments help show the way to the A16Z information technology "billion-dollar ... one-engineer startup" with low risk and low effort.
Why don't we have a lot of examples of projects that followed my arguments, and were "billion-dollar start ups" with low effort? Sure: What I am saying is. so far in practice, mostly new for information technology start ups -- instead of what I described people have followed what Altman described in his lecture. I'm saying that there is a better way, heavily in the planning.
That what I am saying seems new for information technology start up can seem good news unless find the thinking wrong.
Nutshell View: I'm claiming that we can do good planning and with a good plan execution can be routine and the intended success low risk. A key to a reliable path from plan to success is some math for the core of the product. Another key is a problem where the first good or a much better solution is a "must have". My project examples (A)-(O) illustrated that such planning, the role of math, routine execution with low risk, and "must have" solutions are possible. Yes, nearly all the project examples (A)-(O) had high effort. For effort, there's evidence, e.g., from A16Z, that now, due to Moore's law, etc., that for some information technology start ups we might get all of these project attributes along with low effort.
Here what I'm saying is very different from what Altman said and maybe good news.
I want mooooore!