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From YouTube: Meltano Group Conversation (Public Livestream)
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A
I'm
Danielle
Morrill
I'm,
the
GM
of
Melton,
oh
and
I'm,
really
excited
to
be
talking
to
you.
Today.
It's
been
a
little
while,
since
we've
done
a
group
conversation
about
six
weeks,
so
you
might
have
seen
I've
stuck
some
questions
in
here.
That
I,
but
I
think
you
should
ask
me
so
if
you
want
to
claim
any
of
them
feel
free,
please,
but
otherwise
we'll
get
started
well.
Mel,
you're,
still
typing!
So
I'll
just
give
you
my
first
question,
which
is
how's
the
SAS
offering
going.
Why
did
you
decide
to
do
that?
A
So
if
you
go
to
the
front
page
of
melton,
accom
you'll
see
that
we're
now
doing
this
thing,
where
we
have
a
create
your
account
button,
you
may
also
have
noticed
if
you
fill
it
out,
that
we
don't
really
create
an
account
for
you
right
away.
So
we
are
doing
one
of
my
favorite
startup
activities.
We
are
hand
cranking
something.
A
So
we
are
setting
up
instances
of
melton
o
for
each
user
and
the
experience
is
like
SAS
in
the
sense
that
they
don't
have
to
do
all
the
configuration
and
all
the
installation
stuff,
but
not
fully
SAS,
because
it's
not
self-service,
which
I
think
a
lot
of
people
kind
of
identify
with
the
SAS
experience.
What's
really
awesome
about
this
is
each
account
is
set
up
with
its
own
instance.
So
we're
able
to
keep
everybody
stayed
a
completely
separate
and
then
they
get
a
sub-domain.
So
you
actually
get
a
namespace.
A
You
can
go
back
to
and
we
decided
to
do
it
because,
then
you
can
share
your
account.
So
if
I
set
up
an
account
for
Kyla,
it
can
be
Kyla,
Elcano,
datacom
and
then
she
can
get
in
there
and
be
like
oh
man.
I
just
made
some
really
sweet
dashboards.
I
want
to
share
this
with
my
entire
team
and
then
our
Maui
numbers
go
up
quite
a
bit
because
Kyla
sends
it
to
her
team
and
ten
people.
You
know
get
on
there
and
they
start
to
play
around
the
dashboards
and
collaborate
with
her.
A
B
Thank
you
so
much
Danielle
with
the
SAS
offer
income,
security
and
security
compliance
requirements
from
customers,
so
I
think
taking
a
comment
that
Sid
made
yesterday
during
our
group
conversation
about
iterative
approach
towards
compliance
and
security
risk.
How
is
your
team
starting
to
address
that.
A
Yeah,
so
we
are
setting
up
each
account
individually,
and
so
that
means
we
do
get
on
a
call
with
the
customer,
and
so
if
they
do
have
really
specific
security
requests,
especially
if
they're
in
banking
or
finance
or
in
an
area
where
they
have
a
IT
checklist
they're,
probably
not
our
customer
right
now.
We're
really
focused
on
the
start-up
founder
customer
in
part
because
they
generally
don't
even
have
a
whole
lot
of
data
they're
just
trying
to
get
something
going.
A
So
the
unfortunate
trade-off
here
is
it's
not
that
they
don't
care
about
it
at
all,
and
it's
not
we're
not
providing
a
secure
solution,
we're
just
not
necessarily
reaching
the
highest
levels
of
compliance.
Quite
yet.
So
this
is
definitely
not
an
enterprise-grade
security
situation.
Definitely
more
like
a
startup
situation
where
we
tell
them
look.
This
is
how
we're
setting
it
up
if
you're
comfortable
awesome,
you
still
own
all
your
data,
if
you're
not
comfortable.
We
also
understand
that
and
then
I
think.
Once
we
get
to
a
point,
we
have
product
market
fit.
A
We're
gonna
immediately
want
to
address
some
of
those
issues,
especially
because
some
of
our
customers
are
going
to
grow
so
hopefully
we'll
get
to
work
with
some
earlier
stage
startups
and
they'll
say
you
know
Danielle.
That
was
fine
when
we
were
six
people,
but
now
I
have
a
sales
team
and
in
tens
of
millions
of
dollars
in
revenue,
that's
like
the
dream
scenario
that
they're
really
successful,
and
then
we
do
those
things
kind
of
grow
together.
A
B
A
A
A
So
there's
two
ways:
we're
doing
that.
One
is
in
the
conversation
we're
having,
but
we
also
have
a
Terms
of
Service
that
they
have
to
accept
where
we
make
it
very
clear
that
we
don't
own
any
of
their
data
they're
responsible
for
it
they
responsible
for
what
they
connect.
Obviously,
customers
could
have
data
that
we
don't
necessarily
want
like
PII,
I
and
so
we're
letting
them
know
they're
responsible
for
you
know
whatever
they
decide
to
put
inside
a
vault
on
oh
yeah,.
C
And
maybe,
if
there's
one
action,
maybe
we
should
review
the
Terms
of
Service
make
sure
we
spell
out
in
that
that
this
is
like
very
early.
It's
alpha
stage
we're
not
guaranteeing
anything,
and
you
might
very
well
expose
data
and
we
don't
recommend
it
for
storing
PII
and
things
like
that.
I
think
that's
there
should
be
front
and
center
both.
A
A
It's
been
fun
kind
of
exploring
what
the
definition
of
sass
is
with
different
people.
I
would
say
this
is
probably
closer
to
a
managed
service
in
the
sense
that
we
are
setting
everything
up,
but
for
all
intents
and
purposes
the
terminology
of
sass
we're
using
from
a
marketing
perspective.
So
just
how
people
be
thinking,
okay,
I,
don't
have
to
do
anything,
so
you
get
going
with
a
software.
I
can
just
use
it
out
of
the
box
and
we're
going
to
hand
crank
and
experience.
A
This
is
close
to
that
out-of-the-box
experience
as
possible,
and
that
also
forces
us
to
figure
out.
Where
is
it
bumpy
for
these
users?
So
as
we
do,
the
onboarding
call
instead
of
having
so
many
of
our
support
conversations
to
be
about
installation
and
setup.
Now
we
can
have
them
be
about
connecting
data
sources
and
getting
dashboards
working,
and
we
can
work
on
making
those
experiences
better,
because
we've
already
taken
care
of
the
first
part
of
the
process,
so
it
is
kind
of
pseudo
sass,
it's
more
like
a
managed
service.
Today,.
D
A
So
right
now
what
it
tells
them
is
that
we'll
be
in
touch
within
one
to
two
business
days
to
set
up
their
account
in
the
confirmation
message
at
the
end
of
the
form,
and
then
we
send
them
an
email,
usually
within
12
to
24
hours,
letting
them
know
like
it's
a
personal
email
from
me
telling
them.
This
is
Danielle
I'm
setting
up
your
instance,
now
I'd
love
to
get
a
time
on
your
calendar,
so
they
have
an
experience
of
having
Constant
Contact
just
from
the
time
that
they
submit.
That
form.
A
How
likely
is
it
that
mal
kana
will
hit
the
thousand
Maui
goal?
I
think
it's
a
long
shot,
but
it's
awfully
fun
I'm
a
gambler
personally.
So
if
I
wanted
to
answer
this
question
very
rationally,
I
would
say
6040,
but
I
have
a
lot
of
control
over
the
outcome.
So
this
is
more
like
poker
than
roulette.
So
we're
working
super
hard.
We've
already
got.
55
leads,
so
the
math
we're
thinking
about
here
is
we're
about
300
right
now.
We
need
to
get
700
more
and
we're
not
gonna
get
them
one
at
a
time.
A
So
obviously
55
leads
is
great.
What
we
really
want
is
we
want
to
get
all
those
people
going
with
Mel
tano
and
then
have
an
average
of
two
to
three
people
that
they
share
it
with.
So
maybe
they
make
a
dashboard
and
they
send
it
to
their
investors
and
their
investor
update
email.
Maybe
they
make
a
dashboard
for
their
sales
team,
but
there
are
definitely
people
they
want
to
communicate
with.
Who
don't
need
to
set
anything
up?
They
just
want
to
see
the
outcome,
so
the
idea
is
get
2,000
leads
how
about
40%
of
them.
A
Actually
log
in
engage
with
us
and
try
it
and
then
have
them
each
share
with
two
to
three
people
and
that's
kind
of
roughly
how
we
get
there.
We've
only
been
promoting
this
since
Wednesday
I
think
we
sent
a
couple
tweets
in
a
blog
post
right
before
Thanksgiving
and
generated
over
50
leads
from
that.
So
that
was
awesome.
A
So
we
have
been
really
surprised
so
far
by
the
demand
and
the
engagement,
so
I
think
I
would
say
it's
still
gonna
be
tough
to
get
to
a
thousand,
but
we're
gonna
do
absolutely
everything
possible
and
I
see
a
path
to
building
a
better
engine,
so
I'm
cautiously
optimistic
and
since
I'm
the
one
processing
all
the
leads
and
emailing
all
these
people
and
hearing
about
their
needs
and
their
enthusiasm.
When
I
don't
look
at
the
numbers
and
I
just
focus
on
how
much
they
want
Mel
tano,
it
makes
me
feel
like
we're.
C
A
A
We
also
have
a
melt
on
oh
I
kind
of
meta,
instant
setup
right
now,
actually
wonder
if
I
could
move
into
that,
but
anyway
we
have
an
instance
that
you
all
can
play
with
and
if
you're
curious
to
play
with
Milton
Oh,
our
first
sales
call
sales
call
yesterday
was
actually
with
an
internal
member
of
the
team,
was
mark
Cesario
who's,
an
enterprise
sales.
You
are
giving
us
an
incredible
gift
when
you
give
us
30
minutes
of
your
time
to
practice
our
customer
discovery
and
onboarding
process,
and
we
will
treat
you
just
like
a
customer.
A
A
We
would
love
to
help
you
and
it's
nice
to
have
a
friendly
face
and
it's
also
cool
to
look
at
get
lab
data
because
we
actually,
you
know,
we
understand
it
a
little
bit
more
than
someone
else's
external
business
data,
so
I
will
post
in
the
show
notes
afterwards
a
link
if
anyone
would
like
to
log
in
to
melt
on
Oak,
Melton
or
datacom,
but
I
think
for
the
sake
of
the
livestream
I'm,
not
going
to
put
that
on
here.
Right
now,
yeah.
A
C
C
Might
turn
into
be
the
most
helpful
thing
because,
like
if
we
have,
if
you're
on
board
people
on
your
own
product
and
then
stuff
doesn't
work
and
you're
an
engineer,
you
tend
to
go,
go
back
fix
it
in
anger
immediately
and
then
turn
it
around
really
quickly.
So
that
might
make
for
a
very
short
iteration
loop,
yeah.
A
We
we
actually
had
their
first
one
yesterday,
we're
recording
videos
of
all
the
calls
and
in
fact,
I
just
found
out
melt
on
oatmeal
tana
datacom
is
not
password
protected,
so
you
can
go
ahead
and
just
visit
that
domain.
If
you
want
to
check
it
out
and
we've
connected
a
couple
of
extractors,
so
you
can
just
go
straight
to
the
dashboard
view
and
start
playing.
A
This
was
just
set
up,
so
it
doesn't
have
like
a
bunch
of
things
in
here
yet,
but
this
is
a
fungus
and
box
and
what
we
do
is
we
just
wipe
the
sandbox
every
day
so
play
with
it.
It's
fine,
there's
nothing
here
that
you
can
hurt,
and
it
just
has
default
connections
to
our
own,
get
live
issues
and
Google
Analytics,
which
is
fine
to
the
public.
So
you
can
play.
A
Let's
see
what
else
did
I
not
answer
of
my
own
questions,
all
right,
let's
keep
going
with
this.
What
is
the
most
challenging
thing
facing
the
melton
o
team
right
now,
I
think
iteration
is
still
really
hard.
I
think
we're
still
struggling
to
break
things
down
at
the
smell
on
a
faeces,
I'm
sure
there's
people
here
who
can
relate
to
that
experience,
especially
now
that
we're
starting
to
do
sales
calls
I.
A
Think
we
have
this
very
human
desire
for
everything
to
kind
of
be
perfect
and
I
think
you
know,
the
struggle
for
us
is
that
perfect
is,
is
the
enemy
of
good?
Is
the
phrase,
and
it's
so
true,
you
know
so
many
details
that
people
notice
so
in
the
call
with
Mark
yesterday
he
said
a
couple
times:
no,
no
just
wasn't
intuitive
I
couldn't
quite
figure
that
out
and
I
think
it's
so
important
to
just
you
know
each
of
those
spots
like
what
can
we
do
so?
A
The
next
sales
calls
better
like
what
can
we
ship
today
so
that
tomorrow
want
to
have
a
sales
call
it's
better
rather
than
waiting
until
next
week
or
I'm,
trying
to
solve
a
big
solution,
and
we
see
all
the
flaws.
You
know
we,
we
know
we
could
build
anything.
We
talked
about
on
our
team.
All
the
time
like
this
team
can
build
absolutely
anything,
and
so
it's
really
tempting
to
build
the
best
thing,
and
so
sometimes
it's
hard
to
just
dial
it
back
to
this
little
incremental
changes.
A
I
know
we're
having
iteration
office
hours
as
a
company
now
and
I.
Think
it's
really
awesome,
because
they
probably
my
biggest
learning
since
joining
get
lab,
is
just
how
unnatural
iteration
can
be
and
I'm
a
start-up
founder
and
I
have
done
it,
but
it's
still
unnatural.
It's
like
it's
still
hard.
It's
still
something
you
want
to
make
perfect.
You
want
to
hone
your
craft,
especially
the
longer
I.
A
E
E
Even
if
this
and
that
and
of
course
that's
you
know,
part
of
that
duration,
which
might
come
naturally,
but
that's
absolutely
to
go-
and
you
know
I
am
the
theme
we're
going
to
be
working
getting
us
more
comfortable
with
that
way
of
working,
even
if
it
means
that
will
create
terms
of
follow-up
issues
of
stuff,
we'll
need
to
address
to
make
certain
things
scale,
but
because
we
cannot
afford
to
have
too
many
of
these
sales
calls
not
reserved
in
an
actual
working
man
instance.
So
faster
is
important,
there's
better
than
fastest
more
important
than
perfect.
A
Thing
I'll
share
really
quickly
is
just
kind
of
how
we're
working
is
is
interesting,
so
obviously
get
lab.
Has
all
these
processes
set
up,
and
it's
really
amazing
and
you
kind
of
forget
how
how
much
you
know
detail
goes
into
figuring
these
things
out,
but
for
every
single
user
we
have
to
create
a
issue
to
get
them
set
up
and
there's
so
many
steps
to
creating
a
great
experience
for
this
person.
The
most
important
thing
is
these
related
issues
which
were
created
after
our
first
conversation
with
mark
yesterday.
A
So
obviously,
all
of
these
get
linked
back
to
the
epic
for
hosted
account
setup.
So
we
have
more
than
55
leads.
Every
single
one
of
them
could
generate
5
issues
for
us,
so
this
is
great
for
us.
These
are
some
examples
of
things
we've
run
into
so
far
and
you
can
see
how
small
they
are.
It's
like
clarifying
how
to
set
up
docker
clarifying
tool
tips
clarifying
its
forms.
It's
not
you
know
big
pieces
of
work,
it's
just
little
details,
so
this
is
just
one
example
of
what
that
looks.
A
Like
I
think
there
is
one
more
Danielle
seated
question,
so
I
I
heard
you
had
a
first
team
get-together
in
Denver
a
couple
weeks
ago.
Any
highlights
this
is
just
so
self-serving,
but
I
will
say:
I
will
tell
you
about
Melton
Oh
assemble,
which
is
what
we're
calling
it
I
think
it's
because
of
Autobots,
but
I'm
actually
not
quite
sure
where
the
name
came
from,
but
we
did
get.
A
It
Avengers
okay,
excellent
yeah,
that's
now,
and
now
you
know
how
old
I
am
so
we
did
get
together
in
Denver
last
two
weeks
ago
and
it
was
pretty
awesome.
I
got
some
snow
got
to
hang
out
and
work,
but
also
just
got
to
meet
in
person
for
the
first
time
so
I
joined
the
company
shortly
before
the
last
contribute.
So
I
had
actually
not
met
most
of
my
team
members,
so
you
know
great
way
to
meet
people.
A
Let's
just
invite
them
to
your
hometown
for
a
whole
week,
go
to
a
hockey
match,
walk
around
the
neighborhood
drink.
All
the
coffee
hang
out.
We
cook
pizza,
we
cooked
burgers
and,
most
importantly,
we
met
up
with
founders
almost
every
single
day,
hardest
trends.
Luckily
here
in
Denver
to
talk
to
us
about
the
date
that
they
have
and
problems
they
have
and
how
we
can
help
them
and
I
think
meeting
those
folks
in
real
life
is
really
powerful.
A
You
met
a
couple
founders
who
are
building
kind
of
more
like
direct-to-consumer,
ecommerce
companies
and
learned
a
lot
about
the
data
there
we're
dealing
with
which
I
think
as
a
SAS
founder
I
tend
to
be
more
oriented
towards
software,
but
it
was
really
cool
to
hear
about
Shopify
and
all
the
data
challenges
of
supply
chain.
So
definitely
had
a
good
time
ate
a
lot
of
good
food
and
we're
really
excited
to
do
our
next
one
we'll
all
be
at
contribute
and
then
we'll
be
hanging
out
a
little
bit
afterwards
as
well.
A
We
also
had
George
who's.
One
of
the
core
contributors.
George
solace
join
us
he's
one
of
our
contributors
as
well.
In
addition
to
get
lab
so
that
was
really
cool
and
then
Emily,
sherry
o
came
and
hung
out
with
us.
She's
kind
of
representing
I
don't
know.
She's
like
a
technical
advisor
I
know
that
recently
she
left
the
data
team
to
work
for
citizen
internal
strategy
consultant,
but
I
think
all
of
you
have
probably
interacted
with
Emily
from
time
to
time
and
she's
just
a
total
Brainiac.
A
We
love
her,
so
that
was
super
fun,
so
yeah,
okay,
kind
of
building
our
team
culture
for
those
who've,
maybe
not
heard
about
melt
on.
Oh
very
much.
Our
team
is
super
small.
It's
only
six
people
so
getting
together
in
a
single
Airbnb
is
a
little
easier
than
getting
all
of
gitlab
together,
but
we're
definitely
trying
to
recreate
some
of
those
dynamics
of
you
know
you
imagine
what
it
would
be
like
to
have
to
live
in
a
house
for
the
summer
to
go
through
Y
Combinator.
A
We
kind
of
wanted
to
create
somewhere
that
pressure
and
some
of
that
connection.
That
comes
with
just
wanting
to
build
things,
not
just
to
hit
the
numbers
but
build
it,
because
you
really
like
the
people
you're
working
with
and
you're
really
close
to
each
other,
and
so
you
feel
like
you're
kind
of
banded
together
to
get
something
cool
to
happen.
So
that's
a
good
time.
I,
don't
know!
If
anyone
for
my
team
wants
to
chime
in
here
or
share
any
stories.
F
A
C
C
The
tweet
I
think
of
yesterday-
and
it
shows
that,
like
recent
enterprise,
software
successes,
workday
and
Viva
Viva,
if
you
haven't
heard
of
it,
but
it's
for
bio,
Biosciences,
biotech
they're
an
absolute
amazing
platform,
but
those
companies
at
sixty
million
of
revenue
so
like
where
we
were
not
so
long
ago,
fifty
percent
services,
so
fifty
percent
like
making
the
software
work
for
people.
So
this
is
not
like
helping
people
to
own
board
on
your
software,
which
services
is
not
necessarily
a
bad
padding.
Workday
in
Viva
has
been
amazing
successes,
as
companies
and
I.
C
Think
it's
I
think
it's
great
that
we're
helping
people
more
and
it's
something
that
doesn't
scale,
but
it's
not
that
it
doesn't
scale
for
the
first
hundred
customers
at
like
year,
ten,
when
you're
at
a
billion
dollars.
Maybe
then
it
should
be
a
little
less,
but
in
the
beginning,
is
it
it's?
It's
not
bad.
So
you
have
to
hire
under
people
to
help
everyone
on
board.
That's
a
it's,
a
very
sustainable
and
the
very
a
pattern.
That's
got
shown
great
success.
C
The
other
thing
I
want
to
highlight
is
that
we're
doing
SAS
with
single
instances,
and
that
might
also
not
be
very
technologically
pleasing,
but
that's
exactly
what
some
other
players
in
the
data
business
intelligence
fear
are
doing.
Amazing
exits.
So
also
that
is
not
it's
not
it's
not
necessarily
a
bad
thing,
and
the
only
companies
that
film,
where
the
companies
that
don't
get
enough
usage.
So
that
is
the
first
thing
and
I'm
super
excited
about
this
new
direction.
Danielle
want
to
choose.
A
I
think
we're
out
of
questions
here
so
given
that
I
think
I
should
go
ahead
and
wrap
it
up
unless
there
are
any
final
questions,
I'll
keep
an
eye
out,
but
thank
you
so
much.
Everyone
you're
awesome
thanks
for
those
who,
let
me
shout
out
their
names:
hi
Kyla,
hi
everyone.
We
look
forward
to
talking
to
you
in
a
few
more
weeks
and
if
we
don't
see
you
happy
holidays.