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From YouTube: FilSwan and Distributing a Large Volume of Deals
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A
So,
basically,
like
we
build
a
platform
which
is
happy
people
to
to
download
lots
of
data,
then
you
can
chunk
them
or
merge
them
to
different
kind
size
of
deals.
We
have
quite
the
other
data,
it's
usually
like
extremely
hard
for
people
to
manage
them.
A
So
what
we
did
is
that
we
first
download
those
dl
data
and
then
we
converted
it
to
a
data
structure
will
create
a
meta
csv.
So
with
metastasis
we
you'll
be
able
to
add
a
more
rich
in
information
about
the
data
societies,
the
data
payload
id
the
time
time
and
all
the
other
informers.
So
we
split
the
sending
process
to
several
steps.
Instead
of
directing
out
what
you
can
do,
that
you
can
first
go
into
website
to
check
how
many
people
are
currently
available
on
the
network.
A
So
in
some
time
you
may
be
thinking
about
to
find
some
good
reputation
miners
to
send
out
deals.
So
we
want
to
check
if
they
have
a
good
history
of
online
yeah,
so
this
grows
based
on
your
online
time
and
your
power
group
growth
so
and
some
of
them,
if
you
have
a
large
time
of
love
offline-
and
you
are
slow-
you
mo
volume,
you
maybe
have
a
lower
score
and
price,
also
a
consideration.
A
So
basically,
what
we
do
is
that
we're
building
with
recruiter
video
like
how
we're
doing
that
we
first
we
go
to
the
repository.
We
create
a
zip
file
or
car
file.
We
can
use
graphite
and
crosstank
to
generate
the
car
files.
Then
we
package
it
to
one
csv
with
the
program
running
by
hand,
will
take
the
same
csv.
When
you
target
the
definition
of
the
miners,
they
will
check
their
price,
send
out
the
batch
files
to
them
so
inside
of
which
each
says
we.
You
can
have
one
task
with
several
fields.
A
If
you
see
also
running
a
agent
on
their
side,
you
actually
can
see
their
sitting
process
from
when
you
start
the
approach
so
which
is
very
critical.
You
don't
want
your
selling
sectors
past
the
deadline.
Then
you
become
invaluable.
You
also
want
to
sometimes
want
to
check.
What's
the
reason
behind
it.
So,
for
example,
we
have
file
which
is
imported
file,
because
we
cannot
find
some
information
on
the
local.
A
You
can
see
that
with
our
tasking
with
thousands
of
deals
processed,
we
actually
have
not
always
have
100
percent
success
rate
and
there's
lots
of
different
reasons
behind
it.
Some
of
them
and
input
have
failed
because
cannot
find
the
storage.
Some
of
them
is
either
pcs.
So
when
you
want
to
take
a
close
look
of
what's
happening,
you
can
download
the
csv
here
and
it
will
give
you
a
way
to
import
it
to
another
system.
Export
other
system
will
analyze
and
yeah,
and
we
also
provide
the
api
to
access.
A
And
so
for
the
other
things
we
currently
added
is
in
the
next
version.
We're
going
to
release
next
week.
Is
the
encryption
and
decryption
part
so,
with
the
swan
kind
now
you'll
be
able
to
uncreate
the
data
before
you
send
it
out,
and
after
that
we
will
prevail.
Other
people,
we
can
use
the
same
tool
which
will
generate
a
aes
key
locally
for
decryption
data.
So
this
is
a
tool
to
assess
users
for
some
clients.
We
have
been
recently
on
boarding.
A
They
don't
want
their
data
widely
spread
without
the
protection,
so
the
small
companies
they
really
want
to
do
therapy
protect.
A
So
we
just
provide
them
a
simple
way
to
provide
data
yeah,
that's
pretty
much
it
about
what
we
are
currently
doing
and
with
the
next
vision
we
want
to
provide
more
features,
and
another
good
news
is
that
so
today
we
signed
officially
standard
apple
fire
as
well
as
a
company,
so
from
today
we're
going
to
the
entire
team
we're
working
as
an
individual
company
instead
of
just
the
practice
yeah
thanks
everyone
just
our
parts,
you.