Young and Profiting with Hala Taha - Reid Hoffman: LinkedIn Co-Founder on Building and Scaling Massively Valuable Companies Fast | E332
Episode Date: January 27, 2025Despite having a strong product idea, Reid Hoffman’s first startup collapsed, forcing him to return investors’ capital. This tough experience reshaped his approach to entrepreneurship. By embracin...g failure, iterating quickly, and adapting relentlessly, he went on to become a leader at PayPal and later, the co-founder of LinkedIn. In this episode, Reid shares the concept of blitzscaling, which prioritizes speed over perfection, smart strategies for taking risks, and insights on achieving rapid market dominance. In this episode, Hala and Reid will discuss: (00:00) Introduction (01:32) Building Impact-Driven Businesses (02:56) Why We Need More Entrepreneurs (04:31) The Vision Behind LinkedIn’s Success (06:43) Lessons from a Failed Startup (09:26) Making Quick, Intense Decisions at PayPal (12:39) Blitzscaling: Prioritizing Speed Over Efficiency (18:10) Maintaining Company Culture While Scaling (21:20) The Power of Early Market Dominance (25:01) The Five Stages of Company Growth (28:54) Strategies for Taking Intelligent Risks (31:44) Why Product Perfection Delays Success (33:25) Pivoting Early to Seize New Opportunities (36:18) Entrepreneurship as a Team Sport Reid Hoffman is an entrepreneur, investor, partner at Greylock, and co-founder of LinkedIn and Inflection AI. He was an executive at PayPal and a founding investor in several companies, including OpenAI. Reid actively supports various non-profits and has received numerous accolades, including an honorary CBE from the Queen of England and the Salute to Greatness Award from the Martin Luther King Jr. Center for his philanthropic efforts. Connect with Reid: Website: reidhoffman.org/ LinkedIn: linkedin.com/in/reidhoffman/ Twitter: x.com/reidhoffman Instagram: instagram.com/reidhoffman/ YouTube: youtube.com/@reidhoffman Sponsored By: OpenPhone - Get 20% off 6 months at openphone.com/PROFITING  Shopify - Sign up for a one-dollar-per-month trial period at youngandprofiting.co/shopify Airbnb - Your home might be worth more than you think. Find out how much at airbnb.com/host Rocket Money - Cancel your unwanted subscriptions and reach your financial goals faster with Rocket Money. Go to rocketmoney.com/profiting Indeed - Get a $75 job credit at indeed.com/profiting   RobinHood - Receive your 3% boost on annual IRA contributions, sign up at robinhood.com/gold Resources Mentioned: Reid’s Book, Blitzscaling: The Lightning-Fast Path to Building Massively Valuable Companies: amzn.to/4jnQkfQ More About Young and Profiting Download Transcripts - youngandprofiting.com/episodes-new Get Sponsorship Deals - youngandprofiting.com/deals Leave a Review - ratethispodcast.com/yap Watch Videos - youtube.com/c/YoungandProfiting  Follow Hala Taha LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Twitter - twitter.com/yapwithhala  Learn more about YAP Media's Services - yapmedia.com
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You have to have speed.
And this is one of the things that Silicon Valley
has learned more intensely than anywhere in the world
other than maybe China.
You were a truly prolific entrepreneur,
PayPal, LinkedIn, Airbnb, OpenAI.
What were some of the learnings that you learned at PayPal
that helped you become a great entrepreneur?
People are familiar with PIVOTS because it's not working.
But pivoting towards opportunity is one of the things that entrepreneurs really need to keep in mind.
Split Scaling Companies is prioritizing speed over efficiency in an environment of uncertainty.
Speed over profitability.
Yes. And by the way,
the speed of learning it and deploying it and scaling it
is the game.
Sometimes entrepreneurs are told,
oh, ignore risk.
And you're like, no, no, no, take smart risk.
When you're scaling really fast, hiring really fast,
how can you maintain a healthy company culture?
You have to intentionally... Yeah, fam, welcome back to the show.
Today we have a true legend on the podcast.
Reid Hoffman, who is the co-founder of LinkedIn and Inflection AI is joining us.
He's also a renowned venture capitalist. He's been behind companies like Airbnb, PayPal,
so many great, huge companies that have moved the world forward. He is also a partner at
Greylock. He hosts a podcast, Masters of Scale, and he's a prolific author. He's got a brand
new book out on AI called Super Agency, which we're gonna dig into in this conversation.
Me and Reid talked for well over an hour and 20 minutes,
which you guys know I love to do
when somebody is just absolutely amazing.
I wanna keep them on for as long as possible.
And Reid was one of those guests.
In part one of this conversation,
we really focused on entrepreneurship.
So I talked to him about his early entrepreneurship endeavors.
We learned about his failures and big learning lessons.
And then we go into scaling, all of his strategy for scaling businesses.
And guys, he scaled huge companies, like I mentioned, LinkedIn, Airbnb, PayPal.
He's behind some of the biggest companies in the world.
So he's got a lot of great content when it comes to scaling businesses, specifically
his Blitz scaling methodology.
And then in part two, we really focus on AI.
He wrote a new book called Super Agency.
It's all about how humans are gonna have agents
moving forward, AI agents.
And I really pick his brain on his optimism towards AI
and how he imagines the future to be with AI in the picture.
And everything's gonna be changing. So in part one, like I mentioned, we're talking about entrepreneurship.
So stay tuned for that and enjoy my conversation with the amazingly talented Reed Hoffman.
Reed, welcome to Young and Profiting podcast.
It's great to be here. I've been looking forward to this.
Me too. And first of all, I want to say I feel very honored to have you on the show.
You were a truly prolific entrepreneur. You've literally helped push the world forward for
decades. You've been a leader at companies like PayPal, LinkedIn, Airbnb, now Inflection
AI. You also were a part of OpenAI. So you've just been behind so many huge companies that
have pushed the world forward, like I said. So I wanted to ask you, so you've just been behind so many huge companies that have pushed the world
forward, like I said.
So I wanted to ask you, when you think of all your contributions to the world and all
the companies that you work with, because you don't have to work right now, you choose
to work.
And so you must be thinking about like, okay, what makes me want to work with a company?
What is your mission?
And what is the red thread with everything that you're doing in the world right now?
I guess probably it's like I'm,
to put it philosophically, a humanist,
which is how do we make ourselves better individually and as a group?
So it's empowering a bunch of different individuals lives,
but also leaving the world much better than we found it.
How do we do that?
That's the red line through everything I do, including companies.
Because you want to do companies that, of course,
have all the normal company things
of running great product services and jobs and all the rest.
But you also want it to be
the impact that you have in the world,
leaves the world in a much better place.
You transform industries, you transform societies.
Like all the companies you mentioned
that I've been involved with from the earliest stages,
whether it's personally LinkedIn and PayPal,
or as an investor and board member, Airbnb, OpenAI,
all of it has a theory of how does it improve human life,
human work, quality of experience, how do we elevate
ourselves, become more the people we aspire to be. And in a similar way, in a similar token,
I'd say you've said in the past, society flourishes when people think entrepreneurially. So talk to us
about why you believe that the more entrepreneurs that we have in the world, the more that mankind is better off.
It's part of how you create the future.
Everything that we have in our lives,
I mean this podcasting stuff,
these computers, these phones,
all come about through entrepreneurial innovation.
It's part of how the new future is created,
and it's part of how prosperity is created,
it's part of how the new future is created, and it's part of how prosperity is created, it's part of how life is improved.
Basically, we wouldn't get to,
even when you say, well, boy, there's also science,
which invents vaccines and other kinds of things,
although a lot of vaccines are commercial these days
and have an entrepreneurial bent like Moderna.
So it's this invention of new things,
and it's
envisioning the way the world could possibly be.
How could you create something that would be of service to,
this is one of the things I think people always forget about,
the process of Adam Smith and capitalism is
this theory of moral sentiments.
How are you being of service to other people?
And that entrepreneurial creation of business and
products and services is a really key part of it.
And when you look around our lives
and all the things in it,
it was earlier entrepreneurs
that we were building upon their work.
So speaking of building on entrepreneurs of the past,
my career has totally skyrocketed from LinkedIn.
I was able to become a full-time entrepreneur
with my social agency and my podcast network.
And so my question to you is,
LinkedIn has blown up into this huge platform.
It's one of the biggest social media networks in the world.
135 million daily active users.
Was your vision for LinkedIn what it is today?
What was your initial vision?
And did you ever imagine it would scale to what it is today?
So when you start a business, you should think about this
as the kind of probabilities of outcomes.
So I did think that LinkedIn could become what it is today.
I actually even think things that were could be bigger and could be on path and you could be asking me
this question in five years when I achieved a bunch of new things.
I would also say, hey, yes, this is possible.
Now, are we in a low probability,
but high result future from when I started LinkedIn? Absolutely.
You have to be rational as an entrepreneur.
I'm part of what sometimes entrepreneurs are told,
oh, ignore risk.
You're like, no, no, no, take smart risk, manage it smartly.
And so when I started it, it was like, well, we could be this big.
And there's all of these outcomes between here and there, which include not
succeeding at all, that you manage your way towards, even as you have the moon
shot, if you shoot for the stars, maybe sometimes you only get to the
hills, right? But you have to be shooting for the stars. You have that, but you're wise
about it. And so, yes, there's learnings and we can go to the depths of which things I
made mistakes on or which things turned out to be new surprises with LinkedIn. But I would
say that we're within the probability set that I thought was possible.
I love that. And I'm definitely going to be asking you about
scaling a business and all of your guidance around that.
But first, before we do that,
I do want to talk about your early entrepreneurship days.
Because a lot of the listeners tuning in,
they're young entrepreneurs,
they're failing every day,
which is a big part of eventually becoming a great entrepreneur,
is failure at
first so you can learn and get better.
So you started a company called SocialNet, which actually was a failed startup.
When I read about it, you could tell me what you think, what if it was a failure or not.
But it was a social app for dating way before we had the dating apps of today, like
Bumble and things like that.
So it was like a really innovative concept.
Tell us about what happened with that company,
why you ended pivoting to something else,
and some of the failures and learnings that you had from that.
So a lot of the writings I've done are
all the learnings from mistakes.
There was almost never anything like I just got it right the first time.
It was you iterated at speed and you kept adapting and you kept learning.
That's one of the rules of entrepreneurship is always be learning.
So social net, I started with this theory of,
oh, I've learned how to create software products.
I know what a really good thing would be.
I've got a great product idea.
Let me go raise some venture capital.
Let me release the product.
Well, a huge number of things.
Everything from if you're not embarrassed by your product release,
you've released too late relative to
software and consumer Internet because I thought I would
polish it and get it just so
right and beautiful before getting out.
When we released, we quickly
discovered half the things we'd spend
months on were completely useless.
We thought that the game was entirely about,
well, did we have a vision for product
quality? And we didn't spend that much time thinking about our go-to-market strategy,
which is fundamental to entrepreneurship. And so it was just failure after failure and
recovery. But the two ways that I kind of kind of learned to summarize this was one,
is I perhaps never learned so much in my life except for
between the ages of two and three because
when you're falling over and learning it and standing up.
Then the other one is every Friday,
there were things I wish I had known on Monday.
Those things I wish I known weren't
person X is going to return your phone call
or this partnership pitch won't work out.
It's literally how to play the game, what to do.
It was a tremendous learning experience, the internship pitch won't work out. It's literally how to play the game, what to do.
And so it was a tremendous learning experience,
which of course means lots of scars, tissue,
and a lot of blood on the floor.
And I'd say that it was, you know,
in Silicon Valley terms, a failure.
We returned the investors' capital,
but that was all we were able to do fundamentally.
And so I love that you started as an entrepreneur
and you learned a lot with social net,
and then you went to PayPal,
and you learned as an executive there
before you went and co-founded LinkedIn.
So talk to us about that.
What were some of the learnings that you learned at
PayPal that helped you become a great entrepreneur?
So part of what happened is two friends of mine,
Peter Thiel, Max Lovechin came to me and said,
hey, we're starting this business.
You've been doing this for a year and a half with SocialNet.
We'd really love you to join the board.
We'll have you and Scott Bannister join the board.
And could you do that?
And I said, yes, because I've just
gone through a year and a half of learning every week.
And so a bunch of the stuff PayPal
had a initial booster pack on, which
is all the various lists,
which is hire people who are high talented learners
more than people who've had a ton of experience.
I mean, they must know how to do the job,
but as opposed to like, I've done this job for 10 years,
I've done this job for at least a year or two,
and I'm an intense learner.
So PayPal started as a encryption technology on mobile phones,
went to cash on mobile phones, went to cash on mobile phones,
went to cash on Palm Pilots,
then went to cash on Palm Pilots plus
an online synchronizing payment service,
and then quickly converted to an online master merchant.
That was after the last pit was after it launched.
All of that initial cryptology on
mobile phones was completely thrown out the door and useless.
Because again, it was this,
don't just build something because it's an interesting product,
what's the market need, how are you getting into it?
So there were just tons and tons of experiences.
I'd say one of the central things that I learned
about entrepreneurship from PayPal was
the speed of execution, the speed of making decisions.
One of the things, I mean, there was a whole stack.
Again, we could take this entire podcast,
things I learned from SocialNet,
things I learned from PayPal,
things I learned, just each one of them.
But part of the thing was basically,
I adopted there, which I wish I'd had at SocialNet,
this decisioning mode where
when I'm confronted with a decision,
I say, can I make this decision right now?
If I can make the decision right now,
I go, and by the way,
usual answer is what decision would I make?
Okay, I would decide X not Y.
Okay, is there anything that I could learn by researching,
talking to people, etc.
That would change from X to Y.
Okay, what's the cost and time to do that?
And if the cost and time is too great,
you just make the decision to go with X,
and you live with it.
And maybe sometimes part of X and Y is,
is it a one-way door or two-way door?
Because if you can recover from it,
you're less likely to go do the research
about should you decide Y versus X.
Part of this practice,
it gets you comfortable with making decisions
at a really intense speed where you're uncomfortable with it
because you don't know everything
when you're making the decision.
And that was one of our many ethoses at PayPal
that allowed us to navigate this just like lots of things
almost blew us up.
And it was definitely a X-wing fighter
going into the Death Star.
Oh my gosh, are we gonna live or die on this?
We succeeded.
Yeah, and I'm sure you've gotten really comfortable
with uncertainty and taking these risks
without really knowing if it was the right or wrong decision.
And like you said, prioritizing speed over anything else, which is so important.
And I know you say that in your book, Blitz Scaling, which you put out in 2018.
And even though it was put out seven-ish years ago, it's still super relevant.
So I did want to cover it.
So you talk about Blitz Scaling and basically it's a concept that is about
achieving market dominance quickly.
So can you go over some of the key principles of Blitz Scaling and I'll ask you some, I've got like
lots of questions about it, but I'll let you summarize it first. The pithy way of saying
what Blitz Scaling is about is it's prioritizing speed over efficiency in an environment of uncertainty. To unpack that a little bit,
it's that when you're playing games where we call in the book,
Glenn Ross games, which is first prize is a Cadillac,
second prize is steak knives,
and third prize you're fired,
you have to have speed and speed to scale.
This is one of the things that Silicon Valley has
learned more intensely
than anywhere in the world other than maybe China. China is one of the few areas where
I've also learned Blitz scaling games. And it's one of the reasons why when you look
at Silicon Valley for the tech industry, the whole population of Silicon Valley barrier
is like three and a half million. That's like Ireland. And yet, the number of global tech companies that come out of
Silicon Valley versus anywhere else in the world,
and to some degree including China,
because you're talking global here,
although there's obviously bite dance and
TikTok and so forth, is just enormous.
And why is that? And that's the answer is
because this hyper competitive game
of blitzscaling is something that we have learned to do.
And you don't do blitz scaling as a goal into itself,
you do it as a competitive tool relative to being first prize versus second or third,
because your particular industry, your particular company,
your particular potential industry transformation is worth it.
So you were just talking about how you have to basically prioritize speed.
So when we're blitz scaling and we're prioritizing speed,
lots of things can go wrong, right?
Because you're prioritizing just hiring really fast,
making fast decisions, things are not perfect.
So talk to us about some of the operational risk
that is involved with blitz scaling
and some of the fast decisions that people have to make?
Typically, obviously people in business schools
teach reduce uncertainty
and prioritize learning for efficiency.
But if what you're doing is saying,
well, we really need to get to scale very
fast relative to either our market
because of a scale mechanic or because of competition,
you'll say which risks can we take to get to
that scale product market fit
much faster than our competition?
For example, classically what happens in
a lot of these split-scaling companies
is people who are traditionalist business people
will say, what's your operating margin?
And you need to prove your operating margin.
We do this. I myself sat in
early Airbnb meetings where one of the VCs was saying that.
I had to speak up and say, nope, bad question.
Not a question to answer right now.
Because we're in a software business,
we don't have these capital hard assets,
even though they're being rented and
transacted in it, that's not on our balance sheet.
What we just need to do is get this to scale and be the growing marketplace of
that, and we'll figure out operating margins later.
But that's of course, what the size of your operating margins are is how
valuable your business is.
And when you get to the operating margins will be when people start
valuing your business more.
And you're like, so that's a very counterintuitive thing you say, is I don't
know, we'll take the risk on wherever our operating margins will end up because getting the scale more
quickly and fast and taking experiments with like, for example, what you're doing in marketing,
what you're doing in hiring, what you're doing in product development, we'll just try it
and we'll iterate and move quickly and we'll abandon the things that aren't working and that's essentially that's part of the reason why I like Airbnb is
one of the as you know is one of the examples that we open Blitz scaling the
book up with to kind of show a modern example of these are a set of decisions
that you make and then I forget which chapter but there's like eight
counterintuitive rules in Blitz scaling in the middle, which is like embracing chaos
and hiring Ms. Right now versus Ms. Right in three to five
years, because again, with the learning curve, those are all
things you're doing to go, go fast now, go fast now, go fast
now, and iterate and change. And that's part of why Silicon
Valley produces just transformational technology companies for the world.
So it's really what you're saying, it's about speed over profitability.
Yes, or any form of efficiency.
One of the things that I learned remotely from Uber,
because they were another blitz scaling company,
we covered elements of in the book,
is one of the things when Uber is like,
oh my God, we need to hire engineers really fast.
So what they would do is they'd re-interview an engineer,
reference check an engineer, and then offer engineer Sarah a job.
Then when they offered engineer Sarah a job,
they say, okay, well, we like our interview with you.
Who are the top three people you work with at your current company?
Then just send those three people job offers.
That's blitzscaling because it's like,
well, maybe they're not going to really work out.
People think it's a little weird and creepy that they got a job offer out of the blue
with a pitch, but it's part of the going fast. And so it's not just profitability,
it's efficiency in everything.
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When you're hiring that fast, like you just gave that example of Uber, I have to imagine that your company culture might suffer and it might become a little bit chaotic.
What's your guidance for when you're scaling really fast, hiring really fast?
How can you maintain a healthy company culture?
You have to intentionally try to do it. And by the way,
Uber is an example of something that had a very chaotic and challenging company culture
and had to refactor it to be a good stable public company you're getting.
But in the usual heuristic rule of thumb is that refactoring culture is actually factoring really
hard. It is hard. It's not necessarily impossibly hard.
Dara really demonstrated with Uber.
Actually, we had a master's scale episode on that
because it was the question of,
okay, so you inherit something that's got
a lot of really broken parts.
What do you do? The punchline was,
you don't show up and say, new sheriff in town.
You say, hey, we did these great things.
We already have what's greatness in this.
Let's focus on the parts that are great
and use those to refactor the other parts.
So as opposed to saying, now for something entirely new,
it's we're returning to
the central roots of our greatness
and then refactoring the other ones.
That's actually, I think, a good change.
Now, that being said,
we've had a lot of culture episodes,
and part of that's because you should be intentional about it.
The intentionality can be not hiring a SaaS as Uber did.
So with Workday and Anil Bhusri,
it was he and his co-founder Dave Duffield did
a cultural interview at the end,
even though he is being the CEO,
did a cultural interview at the end of
every hiring process for the first 500 people.
That slows you down some,
but that's one way to do it.
Another way is the culture deck for Reed Hastings,
which actually just started as when they were looking at
the attrition of why are people leaving?
I was like, well, they didn't understand
our culture when they got here.
So let's first create a culture deck to onboard them,
and then shit, we should publish it, right?
Because don't come here.
If you're looking for a family, go to other companies.
If you're looking for a team,
like a professional sports team, come here.
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every quarter, every year.
If you wouldn't hire this person right now,
give them a severance package, go hire somebody else.
And so you create these cultural moments and these are
all the different tool sets that you create for your particular business,
your particular founders, management team,
product market fit, competition landscape, etc.
Because it's not one culture,
one size fits all,
but being intentional is very important.
Everything has a consequence, right?
There's pros and cons to everything.
You can implement all these systems.
Like I'm thinking about my own company right now.
I used to hire so quick.
I would just go on LinkedIn, find somebody, poach somebody,
DM them, do an interview, hire them.
Now it's a months-long process.
And I can feel that sometimes it's really hurting us.
And I'm like, I just want to go poach somebody off LinkedIn.
It's just like really just pros and cons. And you've got to figure out what is the right thing for
your business and make the right decision. So why is first mover advantage so important?
The whole point of Blitz scaling is so that you can basically build a moat
around you as a company, but why is that so important?
Well, first mover to scale gives you all kinds of advantage.
It doesn't actually necessarily need to be first mover out of the gate, but the first
mover to scale, part of split scaling, is really critical.
Now, sometimes, by the way, the way that you become first mover to scale is you're the
first mover out the gate because you just keep going, right?
But that kind of getting the scale can have all kinds of advantages.
One is capital markets reward you versus whoever's in second place,
as part of the Cadillac and steak knives.
Employees more want to work there.
But when customers or members,
if it's consumer and anything,
think, well, what's the one that everyone's talking about?
It's the one that's the first to scale.
So in all of these fields, you have advantages.
Now, you might also have a business with network effects,
where those network effects become a really important growing
super linear competitive mode,
whether it's like Airbnb or Uber or others,
LinkedIn, or if it's just a, well,
I'm ahead and so by default,
all of the different forces that come together to make
a company successful are more aligned in believing you're number one.
Because part of what entrepreneurship does is,
I have this vision, it's currently non-operative,
I'm persuading multiple different constituencies
to come invest in my vision.
It could be investors with money,
it can be employees with their time and ownership,
it could be press with their belief
in what's gonna happen, it can be customers who go,
okay, you're a startup but I'm gonna start using you
now anyway because I believe you will be
the right thing in the future. All of these things is what you do as an entrepreneur is you persuade
people to come and help build your vision.
When you're the first mover to scale,
you have a lot more of those people believing in you and therefore investing in you.
Your cost of customer acquisition is lower,
your cost and speed of recruiting employees is lower,
your cost of capital is lower, etc.
The weight of your brand is giving your cost of capital lower, etc., etc.
The weight of your brand is giving you all of this advantage, like the brand recognition.
Brand can definitely be a strong part of it, but it's also the question of who do each
of these groups think is going to win.
So it's a little bit different.
I mean, brand is also what is your brand promise?
What are you going to become?
And, you know, awareness is part of it, but it's like, okay, we think you're gonna win.
Now, when you have dynamics like a network effect,
then your brand might be mediocre,
but a network effect is incredibly good
within a business or within a, you know,
any kind of entity that has it.
It's a very strong amplifier.
So talk to us about that.
I know Airbnb had a network effect.
What's a good example of one?
Networks are usually, but not always.
So LinkedIn has one, Facebook has one,
WhatsApp and Instagram.
For example, when you look at Google,
the network effect isn't the search index.
That's a scale index.
What it is is the AdWords,
because the AdWords begin to get when you're
that large and differentiated and have the data and intelligent enough,
you end up with a better cost.
You can provide an ad at what is a lower cost to you and
a higher price to your customer and have a higher margin revenue,
then your competitor that's trying to sell something.
Its network effect is in the AdWords.
Part of when you're looking for these mega-scale businesses,
usually there's some interesting
network effects that really power them.
I know that there's different stages involved with Blitz scaling.
There's family stage, tribe stage,
village stage, city stage, nation stage.
I was thinking about my company and I think we're right in
between tribe stage and nation stage. So I was thinking about my company and I think we're right in between tribe stage and village stage.
I think there's probably a lot of growing pains
in that stage, right?
Like we're doing amazing,
but I feel like it's just like scaling is really hard.
And I feel like that is the first instance
of really scaling.
So talk to us about each one of these stages.
What do we need to think about?
And you can be high level or as deep as you'd like,
but if you can just break down how companies generally scale
and the stages that they have.
So the basic idea was to say,
when you're hyper scaling to a market,
obviously everyone wants to have as much revenue
and as much customers and hours per employee
is one of the ways to benchmark businesses,
but almost all businesses also get to
growing their employee base for various reasons.
It's sales and new products and features,
new product lines and customer service,
and account management, and finance, and everything else.
Generally speaking, you need to be scaling your employee base
at some rate with your business.
So the thought was as you're getting
the scale product market fit,
one of the challenges you have is you're scaling
the size of your operation in all of these different vectors.
So that proxies to number of employees.
So we broke it up into the five categories
that you just outlined, thank you.
We said, look, when you're getting to each of these things,
what got you here won't get you there. When you're at the earliest stage, it's like, you know a
couple people, maybe you met one of them, you hired them, you're all in a room. Communication
isn't really an issue. Company culture is usually like, well, we went out for beets and a beer,
and we talked about it. And that's our company culture. Like, we figured out what we're doing.
And as you get larger, all of these things change.
In the very earliest, everyone's working,
and then you get to, there's people who are working
and being managers, then you get,
there's people just being managers,
then you get people who are managing managers.
And each of these things change at levels of scale
as you go up.
How you run communications, how you make decisions,
how you pivot or readjust something.
All of this changes.
Which risks are you willing to take?
Like for example, Facebook went,
and people thought this was different,
but it was like move fast and break things
to move fast with scalable infrastructure.
And I was like, you got wise and you
changed your theory of moving fast.
Like no, what we realized was in
our very earliest days move fast and break things was the way to, what we realized was in our very early days,
move fast and break things was the way to optimize speed.
And then in our later days,
the way to optimize speed was move fast with stable infrastructure.
Because we broke the infrastructure,
it was too hard to fix and we suddenly were moving slower.
So it's still both speed principles.
But those changes, because for example,
move fast and break things work totally fine when you're 40 people.
When you're 500 people,
and the infrastructure breaking and everything breaks,
let's keep the infrastructure running,
however many other things we may be breaking as we're moving fast.
So all of those things go into the different levels.
Nation is the placeholder for public company,
thousands of employees, etc.
And just saying, hey, the rules here change too.
And your mistake is trying to run the same way
as you might be even in a village when you're in a nation.
Even though you're of course trying to keep speed,
you definitely keep a vibrant culture and
high performance and high quality talent.
The nature of the game changes as you change size.
It's so interesting. I highly recommend that everybody read Blitzscaling.
I loved reading through it.
I want to read it in even more detail because I feel like it's just so relevant,
especially as a newer entrepreneur scaling your business.
If you've never done it before,
build a company that's a nation-sized company,
it's definitely a good read.
When you're thinking about making intelligent risk,
this is something that we were talking about earlier.
Do you have anything that you think through,
questions that you ask yourself to make sure that you're not
just taking any risk and that you're taking a risk intelligently?
Well, there's a couple of quick hacks on every major decision, maybe not surprising from
the co-founder of LinkedIn, is I think who are the three to five people I'd most want
to talk to about this?
Because it's kind of like, where would they give me knowledge, expertise, different cognitive
tool set, different analytic framework, et cetera?
And would I predict that would be
very helpful in this particular decision.
And frequently, those people,
while you have a lot of great people in your company,
there's a lot of them
were in any particular decision outside your company.
And that's part of the thing of like,
okay, what would it take to go get that?
Would I get the right kind of information?
I get what I would be unknown and I would try, etc.
That's one. Because analyzing the risks is knowing
which only few things to focus on and
which other things to really just ignore.
Because as you know,
blood-scaling rules are like embrace chaos and let fires burn.
Because you're like, we'll solve that later.
We don't have to solve everything right now,
we can only focus on a few things.
Another one is to think about, all right,
even if it's painful to solve something later,
like for example, we were talking about the Uber hiring thing,
can we solve that one later because
which the ordering of problems that we need to solve?
Some of the risk is we're not going to solve that problem right now.
We're not going to be able to measure it right now.
The only way to really measure this is to do it.
One of the things that modern consumer internet mobile entrepreneurs have learned is
this thing that's paradoxically called paper testing, which is you put up an ad
and you say, here's our thing.
And you see what the click through is, even though you don't have anything behind the ad,
because you're measuring and trying to get data,
because you're trying to figure out what the thing is.
This is the toolbox of the cost of de-risking.
Which low-cost things can you do?
Talking to someone, taking a paper ad, doing other things.
Can I do to de-risk this?
Then at the end of the day,
you make the risk bet.
Now, some of the red
teaming thought is, well if I'm wrong on this decision, what are my plans be? How do I recover?
If I go, oh this one we're just dead. Not, oh it's painful. We're dead if it doesn't work. Oh okay,
well let's invest a little bit more on the risk decision if we can. But by the way, part of what
startups do is you're making the bet.
If you're not making the bet,
you're ultimately going to fail.
We'll be right back after a quick break from our sponsors.
I want to talk about AI,
but before we do that, I've got a little quick fire section.
I've pulled out some of my favorite quotes
that you've said about entrepreneurship,
and then I just want to get some more color on each one of these quotes. section, I've pulled out some of my favorite quotes that you've said about entrepreneurship,
and then I just want to get some more color on each one of these quotes.
Okay, if you aren't embarrassed by the first version of your product, you shipped too late.
Well, that's why I talked about a little bit already with socialite, which is, look, there's
the number of people who are product geniuses that go, oh, when I pull back the curtains,
everyone's going to go, ooh ooh la la, you are perfect.
That's less than 1% of entrepreneurs and product people
and yet everyone thinks they are.
And it obviously should be a good product person,
otherwise you shouldn't be doing the product side
in entrepreneurship, doing something else.
But the right thing is how do you learn
from your customers?
How do you go which things,
and that's part of the reason why minimum viable product,
product market fit, all of these things,
kind of testing your hypotheses,
using other data as a way of doing it,
because if it's speed to market and speed to learning,
and part of the reason why embarrassment is
because our natural instinct as people, as entrepreneurs,
is we want you to tell us, oh my god, we love what you did.
And actually, in fact, you want them to grow to love what you did.
And obviously, the more they love it at the beginning, that's great.
But your speed of learning it and deploying it and scaling it is the game.
I'm like smiling because I'm just thinking about me being an entrepreneur and something that my
business partner always says
is my favorite thing is to just announce something.
Even before it's ready, before I have any idea how to do it,
I love to just announce we're doing this.
And I'm like, well, we got to figure it out.
Exactly.
Okay, so don't wait for something to fail before you learn
or before you consider a change or pivot.
The best pivots are to take advantage of an upside rather than to avoid a downside.
So obviously people are familiar with pivots because it's not working, right?
And there's different ways to get to the conclusion before it totally is a train wreck.
You want to make the decision that's not working before the train wreck happens, you know,
change tracks.
But one of the things that people under-describe
is a pivot to a new opportunity.
In some sense, this is
the PayPal story that we were talking about a little earlier.
Because they said, well, we have this really great unique technology,
and now we're figuring out that it's not really going to work,
and we're pivoting away from it because we're already getting to market.
Then what happened is you release this Palm Pilot plus
a synchronizing payment service.
What happened is eBay people started using it.
I remember the first week in the conversation of
PayPal was who are these eBay people,
should we stop them from using our product?
It was like, no, no, those are our customers.
None of these people are our customers.
Those are our customers.
We're going to pivot entirely towards them.
And so pivoting towards opportunity is seeing what happens.
And sometimes, by the way, it's like, oh, you've been working on the software
product, and now AI is here.
And you're like, OK, I'm going to do AI.
Yeah, I know I did this last 18 months of work, maybe three months if it's
recoverable, because that's the opportunity.
That pivoting towards big new opportunities is one of
the things that really creates these successful businesses.
Because we want to tell this heroic story where she or he had
this original vision that came down from on high and
they came down with the two stone tablets and they said,
I've got this vision that goes on forever,
and that's the reason I'm a genius.
It's like, well, actually, in fact,
a lot of things happen based on,
well, I was in the game,
I was learning, and I saw this new opportunity that emerged from
a market, a technology, a set of things with competitors,
and I moved towards that.
Like for example, Google, its theory
of when it launched,
it was we're going to sell Enterprise Search.
That's our theory of the game.
Then they saw and then it's not working.
Our backup plan is to put double-click ads on top of it.
Oh shit, the whole ad market went.
What do we do? Now we invent AdWords.
They pivoted from enterprise to consumer,
and then consumer to using elements that they'd seen from the market,
but inventing their own version of how to make a really powerful business.
And it's one of the most powerful business models
that's been invented in human history so far.
And so that pivoting towards opportunity is one of
the things that entrepreneurs really need to keep in mind.
It's not always that you're failing.
Your company could be doing good, but you just want to go towards even a bigger opportunity.
Yes, exactly.
Okay.
No matter how brilliant your mind or strategy, if you're playing a solo game, you'll always
lose out to a team.
Again, we tend to tell these heroic myths of the individual entrepreneur or she or he is like, I am the person, the creator,
the innovator, et cetera.
And actually, in fact, all of these projects are the result of teamwork.
There's almost nothing against an individual.
And part of the thing is you want to be, to some degree, the best entrepreneurs, the people
who recruit and bring around them the most amazing teams who work with them for a long time.
And actually, obviously part of the thing is
the truism tends to be hire slow, fire fast.
The hire slow, you can see how, you know,
whether it works.
If you're really going to hire slow,
you better be hiring all the time
so that your pace of hiring isn't matched up.
Like, oh, I need a person now.
I'm going to start looking.
It's like, I start recruiting for people I think I'm going to
need six to 12 months from now, today, as an instance.
And so that team sport is really important.
But it's not just the employees,
it's also the people around you.
So like, the advice to give entrepreneurs is not to go up to
people and say, Hala, what do you love about my idea?
What do you think about my idea?
Because I'm kind of asking you, tell me good, what's wrong with my idea?
What thing could make it break to kind of learn from it?
And so having those teams built around you
outside your company, advisors, investors, experts,
industry people, et cetera, is really, really important.
And that's why entrepreneur is a team sport,
is a network sport, not simply an individual sport.
Okay, last one.
Just as the industrial revolution created new opportunities for collaboration and new
capacities for innovation, creativity and productivity, the cognitive revolution will
do it as well.
This is, I guess, bridging into our AI discussion.
The thing that happens that we've learned with entrepreneurship is new technologies
completely change industries.
Sometimes every industry like AI with
general purpose technologies and the parallel
between chat GBT models and
general purpose technologies always
something I'm finding a little entertaining.
But you look at these technology changes
as changes in market landscapes.
It's changes in what the real shape of products
and services are going to be.
It changes in how companies operate.
It changes in what business models are available
and all of these things.
You really look, even if you're not yourself,
purely the technology company, you look for changes
in the technological landscape because fundamentally,
if you don't have a technology strategy,
it's not an IT strategy, it's not am I using PCs or Macs or iOS things,
it's a technology strategy and that you're going to need to evolve with.
So AI, which is the cognitive industrial revolution,
in my belief is going to transform probably every industry,
and if not every, almost every.
It's between almost every and every.
So everybody needs to be looking at it to say,
okay, what does this mean for my product service,
my competitive landscape,
the way that we operate as a company,
how we do sales and marketing,
how we do account management,
how we do customer service,
what other ways in which we operate,
whether it's supply chain, finance,
risk mitigation, et cetera.
What are all the ways that this can come in and give me a competitive differentiation
for how the new world is going to look?