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Episode 12March 18, 2024
My Last Startup Failed With 30 Employees… It Might've Worked if we'd Kept it to 5.
About this episode
Every founder wants to build the next $1B+ company. So it’s normal to get inspired by what companies like Apple, Shopify and Microsoft do. But it’s also a huge mistake.
In this episode, we look at what Shopfiy, Fullscript and Spellbook did to find product-market fit. In many ways, it’s the opposite of what they do now, as big succesful companies.
Big companies are operating in a post-product-market fit world. Pre-product-market fit startups are in a different world entirely.
The same rules don’t apply.
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Follow the showTranscript
The full conversation.
Speaker 1
0:00
If
somebody's
hair
is
on
fire
and
you
give
them
a
brick,
they
will
use
that
brick
to
put
out
the
fire
in
their
head.
Now
the
brick
is
a
terrible
tool
to
put
out
a
fire,
but
if
their
head
is
on
fire,
believe
me,
they're
gonna
do
everything
they
can
to
get
rid
of
it.
That
is
what
you're
on
the
hunt
for.
Welcome
to
the
product
Market
Fit
Show,
brought
to
you
by
mistrial
,
a
seek
stage
firm
based
in
Canada.
I'm
Pablo,
I'm
a
founder
turned
vc.
My
goal
is
to
help
early
stage
founders
like
you
find
product
market
fit.
Only the top 1% of founders do this
Speaker 1
0:31
I'll
say
something
like
I
was
looking
through
the
thread
and
it's
really
interesting
'cause
I
think
he's
like,
I
dunno
,
any
founders
actually
that
have
done
this,
I
can't
remember
of
any.
When
I
passed,
Scott
writes
me
an
email
back
and
says,
and
I'm
reading
it,
he
says,
thanks
for
the
quick
turnaround.
I
love
brutal
feedback,
helps
me
improve
our
pitches
or
any
of
these
items,
things
that
might
have
changed
your
mind.
And
he
has
a
list
of
eight
things,
greater
traction,
clearer
pitch,
improved
company
website.
You
know,
many
founders
will
ask,
not
many,
but
maybe,
you
know,
I
think
if,
if
I
pass
on
a
company,
80%
of
founders
will
be
like,
thank
you
.
20%
of
founders
will
be
like,
oh,
do
you
know
any
reasons
why
did
you
pass?
Or
just
high
level
,
he
might
be
the
only
founder
at
least
that
I
can
remember.
They
didn't
just
ask
high
level
like
Hey,
what's
your
feedback?
He
like
listed
eight
potential
things
and
said
Which
ones
of
these
is
it?
So
that
he
could
actually
categorize
the
feedback.
And
I
swear
I
remember
that
moment
just
that
made
me
double
think
<laugh>
and
just
be
like,
oh
my,
you
know,
that's
interesting.
Like,
you
know,
should
I
really
pass?
I
still
pass
.
So
that's
on
me.
But
I
say
all
that
because
Scott
benefited
a
lot
from
ai.
You
managed
to
take
advantage
of
it,
but
he
did
not
get
lucky.
He
was
doing
things
that
I
think
more
than
just
about
any
founder
I've
spoken
with,
like
he's
top
one
percentile
in
terms
of
setting
his
company
up
to
find
product
market
fit.
There
are
some
founders
that
launch
something
and
it
just
works.
But
I
can
only
think
of
a
handful
of
other
examples.
Lummi
Q
,
which
we
did
a
podcast
with
Michael
comes
to
mind
where
they
were
just,
they've
set
everything
up
explicitly
to
find
product
market
fit.
So
I
wanted
to
go
through
some
of
those
things
and
you
know,
I
was
looking
at
the
last
three
episodes.
We
did
an
episode
with
uh
,
CEO
Fullscript.
They're
like
almost
doing
a
billion
dollars
in
revenue.
Uh,
we
did
an
episode
about
Shopify,
it
was
a
hundred
billion
dollar
company
and
so
looking
for
commonalities
in
all
of
them.
But
you
know
this
one,
what
Scott
was
doing
is
fell
book
really
stands
out.
And
I
think
the
high
level
theme
here
is
when
I
think
about
startups,
Pre vs Post Product Market Fit
Speaker 1
2:22
there
really
are
two
phases.
There's
pre-product
market
fit
and
post-product
market
fit.
And
there
are
truly
two
different
worlds.
And
I
think
what
often
happens,
VCs
might
even
be
more
guilty
of
this
than
founders
because
VCs
don't
have
a
lot
of
depth,
but
they
do
have
a
lot
of
breath
,
they
see
a
lot
of
things
and
so
oftentimes
they
wanna
like
kind
of
find
things
that
work
elsewhere
and
bring
them
here
and
that's
great,
but
it's,
it's
terrible
if
you
do
it
wrong.
It's
terrible.
If
you
look
at
what
works
for
post-product
market
fit
companies
and
you
try
to
bring
them
in
to
pre-product
market
fit.
And
this
is
something
like
Scott
was
doing
the
exact
opposite
of
this.
Scott
was
setting
everything
up
for
pre-product
market
fit.
So
here's
an
example,
there's
a
few
things
that
are
totally
different
pre
and
post.
One
Why Less is More
Speaker 1
3:06
of
them
is
that
in
post-product
market
fit
more
is
more.
And
in
pre-product
market
fit
less
is
more.
For
example,
before
you
have
product
market
fit,
I
am
not
joking,
having
fewer
people
on
staff
is
better
period.
It
doesn't
matter
how
much
money
you
have
in
the
bank,
fewer
people
will
help
you
find
product
market
fit
faster.
And
I
would
say
that
Kyle
from
Fullscript
actually
put
it
the
best.
He
said,
most
entrepreneurs
are
not
built
to
manage
people,
especially
before
they're
ready.
Go
experience
every
component
of
your
business
and
then
you're
ready
to
see
your
weaknesses
and
start
hiring
up,
go
be
that
customer
support
agent
for
three
months
and
feel
the
pain
of
the
customers.
If
you
don't,
you're
going
to
miss
out
on
building
what
they
actually
need.
And
so
this
is
like
one
side
of
the
equation,
which
is
when
you
have
more
people,
you
have
to
manage
those
people,
you
have
to
communicate
across
those
people.
Post
product
market
fit,
what
you're
trying
to
do
becomes
more
and
more
defined
because
you
have
an
actual
product,
you
have
an
actual
set
of
customers
while
you're
still
part
of
the
business
is
always
going
to
be
experimenting.
Part
of
the
business
is
straight
up
execution.
And
for
executing,
if
you
wanna
do
more
execution,
you
need
more
people.
And
so
the
trade
off
is
okay,
I'm
gonna
have
more
people
and
now
all
of
a
sudden
I'm
gonna
need
to
manage
those
people
and
there's
overhead
as
a
result.
But
that
trade
off
is
totally
worth
it.
It's
worth
it.
Post-product
market
fit,
it
is
a
terrible
trade
off
pre-product
market
fit
because
pre-product
market
fit,
you
do
not
want
to
be
spending
time
on
communicating.
You
do
not
want
to
be
spending
time
on
managing
people.
You
wanna
be
spending
time
as
close
to
your
customers
as
possible
because
all
you're
doing
is
experimenting.
This
is
another
thing
that
Scott
was
doing
right?
He
literally
was
launching
experiments
every
two
to
four
weeks.
Over
six
years
he
had
a
team
that
ranged
from
five
people
to
10
people
that's
as
big
as
it
got.
Not
because
he
didn't
have
the
money,
but
because
he
was
pre-product
market
fit.
And
the
only
thing
he
wanted
to
do
was
be
able
to
test
things
super
quickly
and
change
on
a
dime.
And
that's
just
so
much
easier
when
you
have
fewer
people.
But
it's
not
just
fewer
people.
The
other
thing
is
like
for
example,
fewer
features.
When
you
have
a
product
in
market,
if
you
look
at
any
big
company,
take
Shopify
today,
what
Shopify
is
doing,
if
you
look
at
their
product
roadmap,
they're
adding
features,
they're
expanding
their
market.
This
is
true
for
any
company,
they're
always
going
to
be
doing
more.
That
makes
sense.
Take
Apple
,
you
got
the
iPhone,
then
you
got
the
iPad,
then
you
got
the
Mac,
then
you
got
the
AirPods,
you
just
keep
adding
more
and
more
and
then
you
add
services.
That's
just
the
game.
But
that
only
makes
sense
post
product
,
market
fit.
And
that
was
actually
another
piece
of
advice
from
Scott.
He
said
when
he
was
launching
features,
if
he
could
go
back
and
do
one
thing
different,
I
thought
this
was
so
smart,
is
as
you're
trying
to
figure
out
product
market
fit,
you're
effectively
going
out
and
you're
saying,
okay,
what
about
this
thing?
You're
,
you're
putting
out
this
new
messaging
or
this
new
value
prop,
this
new
feature.
And
every
time
you're
doing
it,
you're
adding
to
your
product.
That's
normally
what
you
do.
What
Scott
said
is
every
time
I
could,
I
would've
built
a
new
landing
page
with
maybe
even
like
new
branding
that
might
take
too
long
to
do
every
time,
but
you
get
the
point
declutter
because
less
is
more.
So
if
this
new
message
is
gonna
be
the
thing,
let
it
shine
on
its
own.
Don't
confuse
potential
customers
with
everything
else
you're
doing
because
by
definition
everything
else
you're
doing
hasn't
gone
new
product
market
fit
.
So
everything
else
you're
doing
has
it
really
worked.
So
isolate
less
features
is
actually
more
likely
to
get
you
to
product
market
fit.
The
last
thing
is
less
polished.
I
see
this
sometimes
I
see
it
especially
from
like
repeat
proven
founders
who've
been
there,
done
that
and
kind
of
feel
like
the
second
time
around
they
just
need
to
be
more
polished.
You
look
at
these
decks,
they're
like
10
times
as
long
as
they
need
to
be.
You
look
at
everything
about
what
they're
doing
and
it's
just
so
polished.
And
unless
you're
like
specifically
launching
like
a
UX
product
or
a
design
product
where
that
matters
to
your
ideal
customer
profile
or
that
matters
to
your
ICP
Polish
means
you've
spent
time
figuring
out
the
extra
20%,
but
pre-product
market
fit,
what
matters
is
the
80%.
Because
remember,
you're
trying
to
find
this
classic
hair
on
fire
problem
and
the
story
is
very
simply
probably
have
heard
it.
If
somebody's
hair
is
on
fire
and
you
give
them
a
brick,
they
will
use
that
brick
to
put
out
the
fire
in
their
head.
Now
the
brick
is
a
terrible
tool
to
put
out
a
fire,
but
if
their
head
is
on
fire,
believe
me,
they're
gonna
do
everything
they
can
to
get
rid
of
it.
That
is
what
you're
on
the
hunt
for.
So
if
the
customer
requires
the
additional
20%,
probably
what
you're
solving
is
not
a
need.
That's
that
acute.
The
other
big
difference
between
pre-product
market
fit
and
post-product
market
fit,
post-product
Market Pull Matters More Than Market Size
Speaker 1
7:28
market
fit,
market
size
matters,
market
size
is
very
important.
It's
the
thing
you
think
about.
Again
,
take
the
,
take
Apple
as
a
company
that
every
single
person
knows
about
and
is
massive.
If
they're
going
to
do
anything,
they're
going
to
size
it
out.
They're
going
to
understand
the
opportunity.
That's
the
number
one
thing
they're
gonna
do.
They
just
gave
up
self-driving
cars
because
they
didn't
think
they
could
create
a
big
enough
company
out
of
it.
When
you're
pre-product
market
fit,
market
size
is
very
much
secondary.
The
only
thing
that
actually
matters
is
having
clear
pull.
And
again,
this
is
another
thing
that
Scott
was
doing
so
right,
he
had
specific
KPIs
that
he
measured
every
single
new
experiment
bot
.
So
what
was
the
cac?
What
was
the
payback
period?
What
was
retention,
what
was
usage?
And
unless
it
met
a
certain
kind
of
definition
of
what
he
thought
was
let's
say
top
quartile,
he
just
didn't
keep
going
in
that
direction.
So
it
wasn't
about
how
big
is
the
opportunity,
what's
the
big
story,
what's
the
big
vision?
It
was
literally
about
is
this
new
feature
getting
incredible
market
pull
?
He
did
that
for
six
years.
He
kept
putting
things
out
until
he
felt
that
pull
.
And
if
you
look
at
Fullscript
or
if
you
look
at
Shopify,
what
you'll
notice
is
they
actually
experienced
the
exact
same
thing.
They
were
lucky
in
a
sense
because
they
got
it
effectively
right
away.
Like
if
you
look
at
Fullscript,
the
first
version
of
his
product
that
he
put
out
in
Canada
got
50%
market
share
in
one
year.
<laugh>
,
their
conversion
rates
on
outbound
cold
email
were
through
the
roof.
It
was
clear
that
he
was
solving
a
hair
on
fire
problem
.
If
you
look
at
Shopify
while
they
were
building,
they
had
5,000
people
on
their
wait
list
.
And
in
fact
Shopify
only
built
out
the
platform
because
people
came
to
Toby
and
asked
him
for
it.
That
is
clear
market
pull
.
Now
if
you
get
it
right
away,
that's
perfect
if
you
don't,
the
point
is
you
have
to
set
up
your
entire
company.
If
you're
serious
about
this,
you
gotta
set
up
your
entire
company
to
find
it.
And
that's
what
Scott
did
so
much
better
than
anybody
else
because
I
think
most
people
are
so
desperate
to
find
product
market
fit
that
they
will
just
go
through
the
motions.
If
they
can
raise
more,
they'll
raise
more
and
then
they'll
hire
more
and
then
they'll
add
more
features
and
then
they'll
add
more
polish.
And
yet
they
don't
get
any
closer
to
true
product
market
fit
because
they
didn't
optimize
everything
around
finding
incredible
market
Planning VS Thinking In Steps
Speaker 1
9:44
pull
.
And
I
think
the
other
thing
that
is
quite
different
pre
versus
post-product
market
fit
is
planning
versus
thinking
its
steps.
I'll
never
forget,
like
a
few
years
ago
I,
I
was
having
this
debate
with
uh,
with
Rob
Woodbridge,
who's
been
on
this
podcast
a
few
times
and
he
was
the
CEO
at
my,
my
last
company
for
a
bit.
And
he
just
looked
at
me
one
time
and
I
was
just
kind
of
thinking
about
TAM
and
all
these
sort
of
things,
but
we
didn't
have
product
market
fit
yet.
And
he
kinda
looked
at
me,
he
said,
Pablo
,
you
have
to
think
in
steps.
And
I
don't
know
why,
but
that
just
stuck
with
me.
And
I
think
when
you
think
about
pre-product
market
fit
versus
post-product
market
fit,
take
any
big
company,
what
do
they
do?
They
plan.
They
have
two
year
roadmaps,
five
year
roadmaps.
They
have
a
whole
strategy
around
every
single
different
thing
that
they're
doing.
Makes
sense.
When
you
understand
your
ICP,
it
makes
sense
when
you're
already
well
beyond
product
market
fit,
but
planning
doesn't
make
nearly
as
much
sense
in
the
very
early
days
in
the
pre-product
market
fit
stage.
Look
at
Scott.
Was
he
planning?
No,
because
he
was
doing
new
experiments,
he
was
able
to
eliminate
all
song
costs
and
think
at
the
edge,
will
this
new
experiment
work?
I
don't
know,
let's
see,
put
it
out.
Doesn't
work.
Cool
nest
experiment.
There
is
no
master
plan
that
needs
to
be
redrawn
every
time.
And
that's
just
the
reality.
When
you're
pre-product
market
fit
planning
doesn't
make
much
sense
because
you're
in
this
lane
of
unknowns.
You're
just
doing
experiments,
you
don't
know
what's
actually
gonna
work.
So
all
you
have
to
do
is
think
in
steps.
This
next
thing
is
what
makes
sense.
So
you
do
it
and
if
you
get
the
right
feedback,
you
keep
going
that
way.
And
if
you
don't,
then
you
start
to
move
things
around
and
explore
different
areas.
But
the
problem
with
planning
is
it
sets
you
down
a
path
and
it
makes
it
really
hard
for
you
to
abandon
that
plan
just
because
of
the
some
cause
of
the
effort
that
you've
put
into
it.
How
can
you
forecast
when
you
have
no
real
foundations?
And
so
again,
this
is
why
pre
prog
market
fit
and
postpartum
market
fit
are
so
different.
And
I
would
say
Recap
Speaker 1
11:25
that
not
realizing
this
is
one
of
the
biggest
sources
of
avoidable
mistakes
because
very
often
you'll
have
founders
or
especially
I
would
say
VCs
say,
look,
look
at
what
this
company,
look
at
how
this
company
is
putting
out
products.
Look
at
how
this
company
is
doing
marketing.
Look
at
what
this
company
has.
And
because
we're
similar,
we
should
do
that
too.
But
if
that
company
that
you're
using
is
a
post-product,
market
fit
company
and
your
pre-product
market
fit,
you
really
have
to
wonder
if
those
things
translate
over.
The
simplest
way
I
can
put
it
is
that
after
product
market
fit,
vision
matters.
Tam
matters,
forecasting
matters,
fundraising
matters.
Before
product
market
fit,
nothing
matters
except
finding
product
market
fit.
If
you
listen
to
this
episode
and
the
show
and
you
like
it,
I
have
a
huge
favor
to
ask
for
you.
Well,
it's
actually
a
really
small
favor,
but
it
has
huge
impact.
But
whichever
app
you're
listening
to
this
episode
on,
take
It
Out.
Go
to
a
product
market
fit
show
and
leave
a
review
please.
It's
going
to
help.
It's
not
just
gonna
help
me
to
be
clear,
it's
going
to
help
other
founders
discover
this
show
because
the
algorithms,
whether
it's
Spotify,
whether
it's
Apple,
whether
it's
any
other
podcast
player,
one
of
the
big
things
they
look
at
is
frequency
of
reviews.
It's
quantity
of
reviews.
And
the
reality
is,
if
all
of
you
listening
right
now,
left
reviews,
we
would
have
thousands
of
reviews.
So
please
take
literally
a
minute.
Even
if
you're
just
writing
like
write
podcast
or
I
love
this
podcast,
whatever
it
is,
just
write
a
few
words.
Obviously
the
longer
the
better,
the
more
detailed
the
better.
But
write
anything,
leave
five
stars
and
you'll
be
helping
me.
But
most
importantly,
many
other
founders
just
like
you,
discover
the
show.
Thank
you.