Congratulations guys...both articles are inspiring - i just couldn't do anything but read every words in them I don't think I'd had the nerves to get through all that struggle
> No business porn for me. I want struggle, not Disney.
+1. Even though @jstanley is correct about the latter quote, I do agree that most start-up stories are dominated by these fantastical circumstances and ridiculous buyouts. I think there are primarily two reasons for this:
1. Retention (or lack thereof) in the start-up world
2. The success bar
As far as (1) is concerned, I think why we don't hear about people that try, try, and try some more for many years is that once you reach a certain age or once you have kids, you can no longer afford to live on Ramen noodles and Ritz crackers. If you fail once, twice, or three times, it really is very very difficult to try again. Even tough you've (hopefully) gained some valuable lessons by failing, you've lost (a perhaps disproportionate amount of) resilience. Thus, you're much less likely to try again.
(2) is moreso culture-dominated than rooted in the real world. As far as I'm concerned, I'd consider myself "successful" if I launched a 1-person start-up and sold it for mid-to-high 5-figures. That's not even close to "Facebook successful" and maybe my success bar has been lowered since I've failed a bunch of times, but most of these books/interviews/talks are written/given by people that have had outstanding exits. No one wants to talk to the tiny 2-man studio that built a company and sold it for $300k (even though I would argue that's a successful exit).
In the US, just pick a town, any town,
tiny to huge, and walk down its Main
Street. There you will see just what
you are asking for except mostly the
businesses are not in information technology,
Web 2.0, mobile apps, etc. Instead the
businesses are dentists, pizza shops,
Chinese carryout, franchised fast food,
auto repair, auto body repair, lawn services,
plant nurseries, boutique retailing,
kitchen and bath remodeling, roofing,
driveway installation, other construction
trades, CPAs, general practice lawyers,
auto dealers, bakeries -- get the pattern?
Can look at an information technology startup
essentially the same way. A great example
is the Canadian matchmaking site Plenty of
Fish -- long just one person, two old Dell
servers, ads just from Google, and $10
million a year in revenue.
There are some advantages to an information
technology startup: First, if connect
a server to the Internet and keep it busy
sending Web pages with ads, then at common
ad rates will get the five figures a month
in revenue. E.g., send two Web pages a
second, send an average of four ads per page,
get the charge per 1000 ads displayed (CPM)
average of $2.125 in the KPCB Meeker report,
and then get monthly revenue of
2.125 * 4 * 2 * 3600 * 24 * 30 / 1000 = 44,064
dollars. So, the advantage? Sure: The server
stands to be something can plug together in
an afternoon from parts that cost less than
$2000 in total. So, $2000 in capital equipment
and $44 K a month in revenue. Darned near a
license to print money and totally blows away
everything else, legal or not, on Main Street.
If the usage keeps growing, fine: Get more servers.
Else, the $44 K a month will do fine for
providing for a family.
Moreover, most of the work is just learning
the coding skills, e.g., in the Microsoft
world, .NET, ASP.NET, ADO.NET, IIS, system
management and administration. Then if the
first Web 2.0 site flops, use the skills
to bring up another one.
But, it might grow, especially if it was
carefully planned to from the beginning
to grow. So, then, let it grow.
So, for a first answer to your question, have to
'plan', that is, think of a Web site that can
attract that much traffic, at least from publicity,
viral effects, other network effects, happy users,
etc.
How to do that? Well one way is just to think of a
'business idea' (John Doerr said that business ideas
are easy and plentiful; bad business ideas are;
maybe good ones are more difficult and rare!),
develop a prototype, use 'lean' methodology and/or
the Steve Blank approach of continually 'iterating'
with the customers and revising the prototype to
achieve 'product/market fit', 'pivot' if this
doesn't work well, and keep trying.
I have another approach in mind borrowed from
project planning examples going back over 100 years.
A joke version is, a good recipe for rabbit stew
starts out, first catch a rabbit! More seriously
think of what one venture partner calls a "big ass"
problem. I would add detail: Want a problem that
is 'big' in the sense that we are sure that the
first good or a much better solution will be a very
valuable 'must have' and not merely a 'nice to
have'. To keep risk down, want no doubt about this.
If there is any doubt, pick another problem.
Another local, mobile, social, sharing app has too
much doubt. Similarly for another 'social graph'
recommendation site. From all I can see, mobile
payments also have too much risk from regulations
and need for 'critical mass'; if try this, then be
ready to jump quickly on the first good acquisition
offer.
The obvious example of such a "big ass" problem,
although not from information technology, is a safe,
effective, inexpensive, patentable one pill cure for
any cancer. Then don't have to worry about
'product/market fit'. Instead, a sad reality and
not at all a joke, have to hire security guards to
keep desperate customers from breaking down the
doors to the lab and trying to steal the pills. Why
don't we have such a pill? No one knows how to make
one. But the first person or group that figures out
how to make one and patents it will have a low risk,
first good or much better very valuable solution and
a very successful business.
So, right, we are getting a hint: For the success
we want, it might help to do some original research!
So, for step (1), think of a suitable "big ass"
problem.
Step(2). For this "big ass" problem, want to find
the first good or much better solution that will
clearly be a very valuable 'must have'. For the
very valuable part, in part want a barrier to entry.
For a cancer pill, could use patents. For
information technology might use Fred Wilson's
"large network of engaged users" (but apparently now
he is moving into mobile payments instead!), a
network effect (everyone uses it because everyone
else uses it, e.g., LinkedIn; nice to have; usually
tough to get started), a brand name, etc. Or have a
technological barrier to entry, that is, have a
solution too difficult to duplicate or equal. The
common claim that there is nothing new to permit
such is just not true. Uh, the technology might be
original and not on the shelves of the research
libraries -- right, that's commonly called
'research' and venture capital won't fund it,
evaluate it, review it, or even think about it and
instead will throw it into the bit bucket because
their backgrounds in bizdev, marketing, and selling
made them afraid and jealous of it; also they want
always to be "the smartest guys in the room" which
raises a risk of the other guys not being smart
enough to make money!
So, to get this solution, do something different for
recent information technology entrepreneurship but
nearly standard for much of engineering going back
over 100 years:
For our step (2), faithfully convert the real
problem into a mathematical problem, e.g., as in the
applied mathematics in each of most of the fields of
engineering.
E.g., notice that the wings don't fall off Boeing
747 airplanes. Why? A major part of the reason is
the applied mathematics of mechanical engineering.
So, from our step (2), we now have a clearly
stated mathematical problem.
Although we are in information technology, notice I
didn't say we have a computer science problem.
We're talking applied math, complete with theorems
and proofs and possibly with some advanced pure math
prerequisites, common in engineering going back over
100 years, e.g., to Maxwell's equations, but
recently rare in information technology startups.
Step (3). Get a solid mathematical solution to the
mathematical problem. Have two advantages here: (A)
Generally it is relatively easy to check such math
for math correctness. So, get lower project risk.
(B) The math approach can yield solution techniques
more powerful and too difficult to think of
otherwise. So, get a better shot at the first good
or much better valuable solution with a
technological barrier to entry.
Step (4). Write software to do the data
manipulations specified by the mathematical
solution. There are two advantages here: (A) The
math really should provide a
precise, usually succinct,
specification of
what the software needs to do. E.g., we
are not trying
to write an 'artificial intelligence' application
based on, say, 'rules' and Forgy's RETE algorithm
where have to keep 'tweaking' the rules until they
appear to work, i.e., keep throwing the software
against the wall to see if it appears to stick.
We
don't have to keep trying maximum likelihood
estimation of 'machine learning' to see if it
appears to stick. Similarly for neural networks.
Instead, if the software just does the data
manipulations specified by the prior math, then
likely the software is essentially correct, has done
its job. So we lower project risk. And such
software tends to be easier to write than the
common, elaborate user interface software. (B) Such
software is relatively easy to check for correctness
because of the fundamental advantage that we have a
precise, and usually succinct, specification of what
the software is supposed to do (the lack of such a
specification is the main problem in establishing
software correctness).
Step (5). Deploy the solution. Get publicity.
Likely have built into the problem specification
that want a lot of virality.
The steps (2) through (4) typically are
challenging and high risk. But there are two
advantages: (A) Typically these steps can be done
essentially just on paper, e.g., as an applied math
Ph.D. dissertation or engineering project planning
document. And, as for most applied math research,
the work usually needs just one person. So, the
cost, 'burn rate', is low. (B) The work, the
applied math and software, are relatively easy to
check for correctness thus lowering project risk.
If can't get through the fourth step, then return to
step (1) and another problem.
Back to step (1), picking the big ass problem:
Here definitely want no doubt. But 'social' is not
well understood so that for highly 'social'
applications we will usually have too much doubt.
More generally this 'way' of doing projects won't
work for all projects and would not have worked for
all successful projects in the past. Right. But
the intention that, once step (4) had been completed
successfully, the 'way' gives high financial return
at low risk for an appropriate project and enough,
broadly, to get the business progress we have in
mind.
You need to read again. What's there
is great stuff, far beyond what
you described, that I largely
borrowed from the past 100 years
of engineering and technology history.
The bottom line points are: Getting
through step (4) is comparatively cheap,
when can do it. So, didn't spend
much money. Then in step (5) get
to deploy a solution that has
high promise of big financial gains
with low risk. That's not good
news?
The 'secret' is that by the time
get through step (4), really have
something valuable. So, well before
launch or traction, are quite
confident will get major success.
That's big, huge stuff.
There are many examples from the
past 100 years. Now, note,
that after step (1), steps
(2)-(4) are just technical.
So, we want to know if my claims
for those steps are supported
by history. Well, for an example, at one time
the US wanted to do photo reconnaissance
of the USSR. We tried the U-2,
but it flew too low and too slow
and got shot down. So, Kelly
Johnson proposed an airplane
that would fly at Mach 3+,
at 80,000+ feet, for 2000+
miles without refueling, be
relatively difficult to see
on radar, and not get shot down.
His design and proposal were
essentially just on paper.
The project was approved, and
he delivered as promised. So,
the lesson is, really can remove
nearly all the technology risk
just by work on paper.
Then with the 'big' problem as
in my step (1) and solid technical
work in my steps (2)-(4), enter
step (5) in really good shape.
This is good news.
Sorry you don't see this.
If you want to insist, just insist,
against all evidence keep just
insisting that the usual
wildly unpredictable, super
high risk work of Silicon
Valley venture funded information
technology startups is just
the best possible with all the
risk necessary and impossible
to remove, go ahead.
Plenty of Fish is one of the worst offenders of what the OP is calling business porn. They've been pushing the "overnight success with zero effort" story for a long time.
I just read the article on
'Scalability' or some such.
There the founder went into
a lot of detail on system
administration for his relational
database.
At no time did I conclude that his
project was either "overnight success"
or "zero effort".
But I can understand the point of
just one guy: A founder really should
understand his business. So, that takes
him into all the relevant topics in
computing and outside. That's a lot of
topics.
My main points about Plenty of Fish
were just as I explained, and I never
claimed either "overnight success"
or "zero effort".
My point is that the OP is looking for examples of real businesses telling real stories. In the story I linked, PoF is selling the same old "I fell out of bed into a pile of money" tale.
A few choice quotes from the first few paragraphs:
He developed software for his online dating site, Plenty of Fish, that operates almost completely on autopilot, leaving Mr. Frind plenty of free time. On average, he puts in about a 10-hour workweek.
Mr. Frind built the Plenty of Fish Web site in 2003 as nothing more than an exercise to help teach himself a new programming language, ASP.NET.
No mention of long hours promoting, begging users to sign up, tracking down weird bugs, or all the actual work that goes into building a business. Just a quick rundown of how easy it is to whip up a shitty website and become a millionaire overnight.
Fine. I just don't think that
additional background on PoF has
much to do with my use of PoF
as an example.
Now that you mention the claim of
a 10 hour work week, I believe I
did read that, but I didn't
remember it or pay much attention
to it because it sounded to me
like just media fluff to 'tell a
good story'.
Media fluff aside, there's no
doubt that PoF is a good
example of what was for a long
time just one guy, two old
Dell servers, and some nice
revenue. So, such a thing,
not the 10 hour claim, is
possible. That's all I
wanted from the PoF example.
There are events like MicroConf and BaconBizConf, and information is shared throughout the year via blog posts, tweets, podcasts, etc., but there's not anything directly comparable to HN.
The Micropreneur Academy forum is probably the closest thing we have at the moment.
Hmm, at least around here, the word "startup" does imply vying for explosive growth. But not necessarily aiming for a quick sell--often, the ultimate goal is to create a large company like Facebook or Google. Some people go as far as considering most acquisitions failures! But certainly explosive growth.
What you described (long-term sustainable growth) is the hallmark of a good small business. And there is nothing wrong with that! But it is a very different model from what we know as a "startup". After all, if "startup" could mean any small company, there would not be any reason to have the word at all! We could just say "small business" instead.
The two models are very different in every way apart from the size of the company. Having different words for them just makes sense. It's important not to see this as some judgement on either concept; rather, it's just using language to differentiate between two fundamentally different things.
Huh, TIL that I want nothing to do with startup culture. To me, those kind of companies are all about furiously maintaining a mix of smoke, mirrors, and suspension of disbelief until someone throws real-life money at you.
Just look at Instagram -- it was created by some guy fishing for a way to game the system, and lo and behold, it worked out for him (after failing with some ridiculous whiskey startup idea). What Zuckerberg did for Instagram was self-serving charity: he essentially used a billion dollars worth of capital to perpetuate the startup bubble (think of how many MBAs are going to flock to California now hoping to become the next Instagram), which only helps Facebook in the long run (once the bubble pops, no one's going to be buying ads from them anymore).
Any reasonable businessperson would see a company like Instagram for what it is: a server with some data on it. UI? Number of accounts? That's all irrelevant: the revenue was exactly $0. Even SEO scammers selling private label goods off of Ali Baba are more financially viable than them!
The problem of defining 'what a startup should be' is that you end up in a situation analogous to a doctor treating a patient's symptoms rather than the underlying disease. The idea that your company needs to have explosive growth and be reachable by x number of people and have a valuation y dollars means that the CEO is usually running around spamming his product everywhere, taking out huge numbers of ads, and schmoozing with VCs instead of doing what he should be doing -- developing a financially viable product that customers want to use.
>Any reasonable businessperson would see a company like Instagram for what it is: a server with some data on it.
I think you mean technical person, because a business person saw them correctly and acted accordingly: a threat (and this is all about growth, and this is the reason of separation between startups and regular companies).
PG put it best in his essay "Startup = Growth"[1]:
"Let's start with a distinction that should be obvious but is often overlooked: not every newly founded company is a startup. Millions of companies are started every year in the US. Only a tiny fraction are startups. Most are service businesses—restaurants, barbershops, plumbers, and so on. These are not startups, except in a few unusual cases. A barbershop isn't designed to grow fast. Whereas a search engine, for example, is."
A barbershop is a great example of a small business. A barbershop is obviously different in nature from a search engine because it's not designed for rapid growth.
I agree but even this definition feels a bit off to me. If, say, you start a new supermarket chain that is designed to grow rapidly, I wouldn't consider it a startup unless there is some kind of innovation in the business model. That may just be me, but I consider a startup to be a business that is designed for rapid growth and that is doing something new in one way or another.
I'm no expert on the matter, but to me a startup is trying to get big fast, whereas a small business is just trying to make enough money to live comfortably.
A startup nowadays is a business entity that tries to maximize value in the short-term (i.e. flipping), while a small business is a business entity that maximizes value for the long-term.
The problem with long-term stories is that they're usually boring until the business sells or dies.
You said you were at Microconf - Rob Walling's story sounds like that. Personally I get more out of Startups for the Rest of Us than Mixergy (both are in my regular rotation). Also did up all the podcasts patio11 has done - his story is fairly humble. Ditto for Brennan Dunn. Some of these guys are HN rock stars, but if you dig, you'll find some really good stories there.
What about the entrepreneur that launches a startup that makes him/her a multi-millionare relatively quickly? No helicopters or yachts involved, just a enough success to live a comfortable middle class life for years to come. Im sure it isn't always Instagram or bust. At the same time though, is this not a Startup story? Why don't we hear these?
My question is why we focus so much on the personal income of founders. Someone getting rich is the least important or interesting thing about a successful company. What matters is the impact on the world.
"That eventually combined the right idea with the right execution in the right market to make a living. Not buy a boat you can land a helicopter on. Not conquer the world with iPads. Just make a living."
I think I wouldn't call that a successful startup. When someone says "startup" to me that inherently means the seed of a large business. A software consulting business isn't a startup in my book. Even Bingo Card Creator, though it at least has the technological leverage, is in too small a space to really be a startup.
Selling out early or late doesn't change it, and if they transition from startup to small-medium sized business somewhere along the way, they could have been a startup that had a best case failure, but they would cease to be a start up. I'd worked at one of the latter. A good indicator is when you are given 65k stock options ... at a penny a share.
I think this is more a product of selective reporting than it is lack of reporting. Angry birds was something like Rovio's 52nd game when they were on the verge of bankruptcy. If you've ever really read into most of these stories, there's almost no such thing as an overnight success. It is just reported as an overnight success because most people don't want to hear about the 51 games Rovio made before Angry Birds. If you have time, I would encourage you to watch the talk AirBnB founder Brian Chesky gave at Startup School a couple year ago, and see how long it took them to do anything.
It's going to be hard to find stories like that, because startups generally take investment to move and grow quickly ("Startup = Growth"). When you have a business that has taken outside investment, you don't have the luxury of taking your time for years to succeed. Anyone who's started along the path you want to hear about, as a "startup" defined as I mentioned above, probably failed. Certainly there's something to learn from those failures, but if you want to hear successes that took that path (investment for rapid growth, but ended up going slowly for many years), there are probably almost none.
In August 2008, start working on my startup idea with my best friend who is also a co-worker at the day job. We work nights and weekends.
April 2009, I quit full time, start working 20 hours a week, and work on the startup 40-50 hours/week
2009-2011, continue working on startup full time, with occasional part-time contracting (less than 40 hrs/mo).
March 2011, my cofounder quits, I give up soon afterwards. We had zero revenue, zero traction, and no plan.
I screw around with a couple of ideas, and try to understand how we wasted the last 3 years.
I contract some more, realize I can't go back to big corporate life, and start another startup. This time I decide I'll do something "easy", with a clear path to revenue. We're going to charge people early. First line of code gets written in September 2011. We have beta users in December 2011. We turn on payments in April 2012. We sign up 14 paying customers in the first month.
We grow steadily, and raise $1.5M in December 2012. There are now weeks that where we add more customers than we did in the first few months. We'd be profitable if we stopped hiring.
It's been incredibly difficult, stressful and tiring. You need tenacity, but not too much, as my three-year wander in the desert showed. You need to not give up in your goal to be successful, but be able to give up on individual strategies.
You need people to support you, and you need to repay their support. My then girlfriend, now wife nearly left me several times because early on I didn't know how to handle the stress, and I didn't know how to unplug and have a nice night to repay her for putting up with my stress and inattention for the rest of the week. I don't think I could be successful without her.
My complete failure on the first startup was caused by not having a clear plan for how the startup was going to succeed. We should have done a better job identifying who the customer is, how we were going to charge them, and how we were going to reach them. Additionally, the first startup had large amounts of technical risk. (It was using some advanced machine learning, when neither of us started knowing machine learning).
I'd call myself a machine learning expert now, but that definitely wasn't the case when I started. There's a saying, "in machine learning, you learn, and the computer doesn't".
The other major failure was that we didn't evaluate our progress, in terms of business metrics. Each month the product got better, and we understood the algorithms more, but no progress was made on traction of any kind, or customer development. You should read Lean Startup before you write a single line of code in your startup. We should have given up after 3 months, or even a year of no progress. Instead we wasted 3.
Unless you're curing cancer, all startups have market risk. For first time entrepreneurs, I'd recommend against things that have both market risk and technical risk. And if you have technical risk, you'd better be an expert at it, before you start.
> And if you have technical risk, you'd better be an expert at it, before you start.
I can't second this one enough. Our startup heavily involved video recording, which I thought was a solved problem. It turned out not to be at all.
I ended up learning a lot of really cool stuff about Flash's crazy edge case bugs (I should attach a microphone to a connection with a null hostname to get the activity levels? Sure. I should wait with attaching a camera until I've detected a greater than 0 activityLevel? Sure. I should sample connection speeds and run a regression analysis on that data to find the right bandwidth/quality settings? Cool, but seriously?) and the various flaws of the media servers out there (So I don't have access to the packet stream with Wowza, but in Red5 I need to rewrite the way audio and video packets are interleaved because when uploading high quality video on slow connections Flash delays video packets until the end of stream? No problem.)
In the end even though our startup wasn't about video but about interacting using video, we spent 90% of our time on the video part. That's a lot of energy I wish I could've spent on building the business instead.
Thanks for sharing your journey! Could you elaborate on your first startup attempt? What problem were you trying to solve, how you approached it, and why it turned out to be intractable?
If, as he says, he wants stories of people who "Just make a living," then Mixergy isn't the right site for him, and that's fine.
I got into entrepreneurship because I was scared of having a life where I just made a living. I feel like there's something great inside me. I haven't fully tapped it, but it's there and I want to learn how to express more of it.
I felt alone for most of my life because most people are like Daniel, they just want to make a living. I never felt like there was anything wrong with them. Hell, they're normal. I felt like there was something wrong with ME for wanting more. For feeling like I can do something extraordinary.
Doing Mixergy interviews reminds me that I'm not odd. Or at least that I'm not the only one who's odd. My interviewees and my audience are like me. We want something more. We're learning from each other about how to do it.
Most people reading this can't relate to that. It's fine. Striving to 'Just make a living' is incredibly honorable and I hope you find the site that tells those stories.
I hope there's one person out there who gets it. If you're reading this. I'll see you on Mixergy.
You get the groups that get out of the gate and are just outright lucky. Then the second groups who figured it out. Then you have the third group that worked to get there.
Then you have the last group that tried everything and failed to know what that one thing is that could work.
You just have to wait.
I've been at this for twelve years, since I was in my teens. The struggle stories takes time to mature for that redemption.
His story culminates in presenting to President Obama this past week @ the Capital Factory (Austin, TX). Great guy and a story that has definitely inspired me.
I did the first interview on Mixergy with Andrew about a failed startup: http://mixergy.com/etzel-notifo-interview/ - I discuss my struggles and lessons learned, but it doesn't have a happy ending like you are looking for.
A startup differs from a small business in that it is scalable. A restaurant or a CPA firm is not scalable since you can't grow faster than your headcount.
The author is asking for stories about the long slog of an eventual breakout success of a scalable startup.
To be honest, most founders dream of big Mark Zuckerberg-like success (who wouldn't?). Reading stories about who just "make a living" isn't very promising or exciting, and I think hope is your strongest asset.
That's pretty funny to me. (Sort of sitting here wondering how low you would want to go and what measure of "success" you would use to decide who to hear from.)
If you want to hear that story (x4), attend our "founder stories" panel at the startup conference in two weeks (May 30, Redwood City). I believe it's at 9:30am.
Seven years of slog. A few disastrous false starts, four years living on a floor in a bundle of rags. A diet of rice and spaghetti, plain.
Always profitable, even through the doldrums. Decent (seven figure) pile of cash in the company account. Moderate pile of cash in mine.
Still have no idea what to do with it. It's a byproduct of creation.
I suppose this pointless little anecdote intends to shed light on the fact that we're not all in it for the money, and therefore not all stories are the same.
In 2006, I quit my job to work on it full-time.
In 2007, my co-founder and I finished the MVP. No one came.
In 2008, we got a big break and it was used by 4 million people.
By 2010, 10,000 companies and 6.5 million people were using it, but we still weren't profitable.
In 2012, we finally figured out a business model.
This past Thursday, 8.5 years later, I got to show it to Barack Obama in front of the national press: http://www.whitehouse.gov/blog/2013/05/10/recap-big-day-open..., and he mentioned it in a speech later that day: http://www.youtube.com/watch?v=2glCSMxXIF8#t=11m7s
We're on the verge of several deals that could take us to profitability with a headcount of 6.
It's been an insanely difficult road. I think there are many reasons for that, but here's the chronicle:
http://wensing.tumblr.com/post/1215873671/bootstrapping-stor...
http://wensing.tumblr.com/post/26830276239/bootstrapping-sto...
Part 3 should be out soon. :)