►
Description
We're bringing back the Token Engineering Commons' community call with a bang!
In this first event, we have a special presentation by YGG that delves into a game-changing concept – subject matter expertise integrated into quadratic funding. Plus, we've got some exciting community updates to keep you in the loop on the latest developments in the TEC ecosystem.
Key Timestamps:
0:00 Introduction
4:00 QF Explorations
44:18 Community Updates
🌱 Take part in the conversation and join the Token Engineering Commons (TEC) community:
- Twitter: https://twitter.com/tecmns
- Forum: https://forum.tecommons.org/
- Discord: https://discord.gg/uM4ZWDjNfK
A
A
So
the
idea,
like
the
goal
behind
that,
to
try
to
use
these
events
as
a
way
to
bring
in
new
folks
into
the
community
and
we're
recording
these
calls
too,
so
we'll
have
them
up
and
available
for
people
to
look
at
afterwards
and
I
think
that
yeah.
The
other
thing
that's
worth
mentioning
is
that
the
well
we'll
get
to
that
later.
A
I
want
to
just
do
a
quick
background,
just
kind
of
frame
setting
for
how
we
got
to
that
before
handing
it
off
to
him.
So,
basically,
you
know,
we've
been
doing.
Tc
has
been
doing
a
git
coin
route,
a
token
engineering
Roundup
on
bitcoin
since
April
this
year.
So
we've
we've
now
just
finished
our
second
one,
and
we
love
this
idea
of
quadratic
funding
as
a
way
to
democratize.
A
So,
for
the
token
engineering
Grant
round,
we
have
25
000
on
dollars,
die
that
was
set
up
and
was
taken
out
of
the
common
fund
and
so
we're
using
quadratic
funding
as
a
way
to
do
that,
and
one
of
the
things
we
were
trying
to
figure
out
is
like:
how
do
we
make
sure
you
know
one
of
the
they're
they're?
It's
such
a
great
mechanism,
quadratic
funding,
but
one
of
the
things
in
addition
to
like
civil
protection.
A
You
also
want
to
make
sure
that
it's
not
just
a
popularity
contest,
and
so
one
of
the
things
things
that
we
were
really
interested
in
is
trying
to
figure
out
how
we
could
inject
some
token
engineering
expertise
into
the
mix.
And
so
we
came
up
with
a
process
for
doing
that
and
what
we've
found
is
that
actually
it's
not
just
about
expertise,
it's
something
that
actually
could
be
much
broader
in
terms
of
its
applicability.
A
B
Yeah
yeah
thanks
I'll,
be
moderating
the
call
today,
so
we
have
first
ydg
for
about
30-40
minutes.
Of
of
this
call,
that's
going
who's
going
to
present
just
what
Gideon
said:
how
how
are
we
tweaking
qf
to
explore
a
few
things,
there's
going
to
be
a
space
for
questions
and
everything?
Please
leave
them
in
the
chat
or
at
the
end
of
YG's
presentation.
We
can
bring
some
people
up
in
the
stage
to
talk
as
well
and
then
for
the
last
10
minutes.
C
Awesome
thanks
Isaac
thanks
Gideon
for
that
introduction,
like
I,
was
saying
in
the
first
couple
minutes
of
this
call
it's
a
very
exciting
time
for
quadratic
funding
and
funding
of
public
goods.
In
general,
there
was
a
Twitter
space
earlier
today,
exploring
cluster
qf
with
the
get
coin
team,
and
it's
just
so
cool
to
be
having
this
fast-paced
Innovation
coming
out
of
Open
Source,
Community,
Development
and
public
goods
funding
in
web
3.
C
I
want
to
give
a
shout
out
to
the
Tec
coordination
team.
Gideon
Isaac
bear
Nate,
J
Henny
art.
They
really
came
up
with
this
idea
of.
Subject
matter:
expert
signal
injection
for
qf.
So
how
can
we
apply
some
weighting
to
the
voices
of
the
experts
in
terms
of
funding
outcome
for
qf?
And
how
do
we
even?
What
does
it
mean
to
be
an
expert
in
a
community?
How
do
we
explore
that?
C
C
How
do
you
turn
a
token
distribution
into
a
signal
and
that's
what
we're
looking
at
here
so
I'm
going
to
go
ahead
and
share
my
screen
fingers
crossed
that
this
works.
I
run
pop
OS
Linux
and
there's
always
audio
visual
things
happening.
We
tested
this
the
other
day
it
worked.
So,
let's,
let's
go,
let's
go
for
it,
so
I'm
going
to
share
my
screen.
C
C
So
I'm
really
excited
about
this
people
who
have
known
me
for
a
long
time
in
the
community.
This
might
look
kind
of
familiar
what
I'm
building
out
here.
This
is
a
panel
application.
It's
using
a
python
Library
called
panel,
which
is
part
of
the
hollow
viz
stack
of
tools,
which
is
some
emerging
technology
coming
out
from
the
data
visualization
data
science
ecosystem
in
Python,
and
these
tools
are
really
just
coming
to
fruition.
C
This
python
panel
Library
just
this
year,
had
version
One
released,
and
so
that's
kind
of
a
a
breakthrough
and
I'm
really
excited
to
get
to
Pioneer
and
show
off
this
stack
of
tools
and
what
we
can
do
with
it.
What
panel
allows
you
to
do
is
create
a
complex
set
of
nested
models
that
are
all
interrelated
to
one
another
and
the
cool
part
about
this.
Is
you
parameterize
your
models?
C
You
define
the
parameters
of
your
models,
the
bounds
of
those
parameters
and
the
types
that
they
can
take
on
and
when
you
define
your
data
structures
that
way,
you
basically
get
a
web
app
for
free.
What
you
have
to
do
is
Define
your
data
structures
very
precisely
and
how
they
relate
to
each
other,
and
then
your
data
just
knows
how
to
visualize
itself
and
it's
a
really
cool
platform.
It
goes
beyond
if
some
people
are
familiar
with
things
like
streamlit
for
building
python
apps.
C
This
panel
Library
allows
you
to
reach
a
next
level
of
sort
of
complexity.
As
you
build
out
your
apps,
you
can
build
out
nested
structures
and
relational
structures
without
breaking
the
the
flow
of
the
app.
So
that's
a
little
note
on
the
technology
that
I'm
really
excited
about
now
I'm
going
to
go
through
this.
It
shouldn't
take
too
long,
maybe
about
10
10
minutes
I'm,
going
to
demo
what
we've
got
here.
C
So
we've
got
a
series
of
tabs
at
the
top
you'll
see
donations,
token
distribution,
the
academy,
token
distribution,
boost
tuning,
the
Boost,
Factory,
tunable
qf,
and
then
finally,
we
have
a
tunable
qf,
math
widget
at
the
end
and
as
a
bit
of
a
bonus.
If
we
get
to
it,
I,
always
think
of
things
as
fundamental
data
structures.
What
is
the
data
structure
of
the
mechanism?
C
What
is
the
the
state
of
your
system
and
then
what
are
the
methods
or
operations
that
allow
your
system
to
change?
So,
looking
at
the
fundamental
data
structures
of
tunable
qf,
we
basically
have
two
things:
we
have
your
donations
data
set
first
and
we're
going
to
introduce
token
distributions.
Second,
we're
going
to
combine
those
data
sets
to
get
our
tunable
qf
environment.
So
what
is
a
donations
data
set?
This
is
what
it
looks
like.
This
comes
out
of
the
quadratic
funding
manager,
platform
managed
by
git
coin,
and
we
have
a
series
of
fields
here.
C
C
That's
essentially
it
to
get
started.
That's
that's
the
data
set
so
each
row
here
is
a
donation
based
on
the
set
of
donations.
You
can
compute
things
like
total
donation
amount
per
project
and
quadratic
funding
outcomes,
so
we
have
here
at
the
bottom,
just
just
a
few
tools
to
take
a
look
at
the
donations
data
set
by
itself,
so
we
can
Group
by
projects.
We
can
see
each
project
here.
C
The
donor
count
mean
donation,
median
donation,
total
donation,
Max
donation,
the
donor,
who
made
the
max
donation
and
the
set
of
donations
that
were
made
to
that
project
same
for
contributors.
We
can
Group
by
contributors,
get
the
same
set
of
stats
and
see
all
the
donations
made
by
each
contributor.
We
can
do
what's
called
a
pivot
table
to
get
this
data
structure
where
we
see
donors
as
rows
and
projects
as
columns,
and
this
gives
you
kind
of
a
visual
idea
of
what's
happening
in
the
round.
C
Each
cell
is
a
donation
made
by
a
donor
to
a
project,
and
this
is
a
nice
little
way
to
explore
the
structure
of
a
round,
and
then
we
can
actually
render
that
as
a
network
and
get
something
like
this,
where
we
have
circles
as
donors
and
triangles
as
projects
and
the
edge.
This
is
a
weighted
graph
where
that
the
weight
of
an
edge
is
the
size
of
a
donation
made.
So
you
can
get
a
sense
of
the
structure
of
your
network.
C
This
is,
what's
called
a
force
directed
graph,
so
the
positioning
of
the
nodes
is
actually
an
embedding,
and
so
you
can
start
to
see
some
cluster
representation
you
can
see
looks
like
around
here
is
like
the
center
of
the
community.
This
is
like,
and
then
we
have
some
outlier
projects.
We
have
some
projects
that
receive
very
small
funding
and
whoever
this
is.
C
This
is
like
this:
the
center
of
the
community,
whoever
this
donor
is
they
donated
to
a
lot
of
projects
that
a
lot
of
other
people
donated
to
and
they
made
some
big
donations.
So
it's
interesting
to
scope
out
the
structure
of
a
community
through
the
donations
data
set.
Now
this
is
a
little
Superfluous.
C
If
we
keep
going
through
here,
we'll
now
arrive
at
signal
injection
that
we're
going
to
work
with,
so
we
have
two
token
distributions.
We
have
here
the
Tec
token
distribution
and
we
have
a
pager
here,
so
we
can
kind
of
scroll
through
this
we
can
see
the
index,
so
this
is
ordered
by
Holdings,
so
the
80th
highest,
holding
member
of
our
community
has
four
thousand
Tec
tokens
and
we
can
navigate
through
the
distribution
of
Tec
token
holders.
C
This
data
set
may
be
a
little
bit
more
sophisticated
or
interesting,
depending
on
how
you're
looking
at
it.
This
is
the
academy
credential
data
set,
so
the
te
Academy
has
issued
nft
credentials
based
on
students,
completing
courses
and
attending
certain
events.
There's
been
five
credentials
issued
in
total,
and
so
in
this
data
set
we'll
see
people
have
between
one
and
five
Academy
credentials,
meaning
if
they
have
five.
It
means
they've,
completed
all
the
academy
courses
and
attended
the
events
that
are
being
tracked
here
through
this
data
set.
C
I
gotta
give
a
shout
out
to
Rex,
not
sure
if
he's
yeah
Rex
here
in
this
call
Dune
wizard
our
resident
Dune
wizard,
who
has
pulled
these
data,
sets
from
Dune.
It
is
such
a
pleasure
working
with
Rex
he's
like
so
on
the
ball,
and
he
always
has
like
five
full-time
jobs,
so
I
don't
know
how
he
does
it,
but
awesome
guy,
so
I'm
going
to
jump
forward.
This
is
this.
Is
our
three
data
sets
that
we're
going
to
be
combining
for
our
application?
C
C
What
I
have
here
is
it's
set
up
to
be
the
default
of
what
we
ran
for
tegr1,
the
te
grants
around
one,
our
first
UF
round
and
how
we
applied
this
signal
boost.
What
we
did
is
we
looked
at
all
the
Tec
token
holders,
and
we
said:
okay,
everyone
who
has
tens
or
more
is
going
to
qualify
for
a
full
Boost,
so
you're
gonna
get
a
boost
if
you
have
10
Tec
tokens
or
more
or
if
you
have
any
Academy
credentials.
C
So
it's
kind
of
like
a
binary
system,
either
you're
going
to
get
the
Boost
or
you're.
Not
if
you
get
the
Boost.
The
final
result,
which
we'll
see
here
in
the
tqf
part,
is
we
put
a
factor
of
two,
so
we
call
that
the
boosting
coefficient.
So
we
said
that
if
you
qualify
under
the
TC
tokens
or
the
academy
credentials,
the
donation
that
you
submit
to
any
project
is
going
to
be
2xed
when
it
gets
registered
through
the
qf
algorithm.
C
So
I've
set
everything
up
with
defaults
to
match
our
TR,
our
tegr1,
but
we
can
explore
now
what
we're
looking
at
for
round
two
which
has
finished
and
the
results
are
currently
being
calculated.
So
we
can
use
this
application
for
the
tegr
round.
Two
results:
how
we
can
start
to
tune
this
and
move
beyond
the
basic.
What
I
call
threshold
algorithm
with
the
threshold
set
to
10.?
C
C
If
we
take
that
off
a
log
scale,
it
looks
like
this,
so
you
can
see
we
have
about
40
members
of
our
community,
who
have
a
very
significant
number
of
tokens,
each
say
around
10,
000
or
more
tokens,
and
then
we
have
this
sort
of
long
tail,
distribution
of
token
holders
in
that
in
the
hundreds
or
maybe
up
to
five
thousand
tokens.
So
it's
a
bit
nicer
to
look
at
this
log
scale,
which
is
what
we'll
stick
with
here
here.
We
put.
C
C
So
something
else
we
can
do
this
is
we
can
increase
the
Boost
factor
of
this
particular
signal.
So
we
can
say
we
want
to
weigh
the
Tec
tokens
more
than
the
academy
credentials
so
and
you'll
see
this
scale
here,
changing
as
I
adjust
this.
We
could
put
this
up
to
10
and
say
that
you
know
what
Tec
token
holders
you're
going
to
get
a
10x
boost
on
your
donation
amounts
as
you
donate
to
projects
as
your
donations
get
registered
through
the
qf
algorithm.
C
Scaling
you
know
signal
boosting
algorithms,
so
moving
away
from
threshold,
which
is
parameterized,
we
can
set
the
threshold
we'll
take
a
look
at
some
non-parameterized
scales,
boosting
scales.
So
here
we
have
a
min
max
scale
which
is
going
to
match
your
distribution.
We
can
say
that
the
amount
of
signal
boosts
that
you
get
is
proportional
is
directly
proportional
to
the
amount
of
tokens
that
you're
holding.
We
can
take
the
log
min
max
where
we're
going
to
get
a
distribution
that
reflects
the
log
distribution
of
token
Holdings.
C
C
Those
are
all
non-parameterized,
so
we
have
four
Transformations
here
that
are
non-parameterized.
These
are
good
if
your
community
doesn't
want
to
do
a
lot
of
thinking
and
you
don't
want
to
have
a
bunch
of
param
parties
voting
on
parameters,
but
this
is
the
Tec
so,
and
this
is
why
we're
going
with
this
name
tunable
qf,
because
we
start
to
look
at
some
Transformations
that
do
expose
parameters
here.
Something
we
can
do
is
apply
a
sigmoid
function
over
the
distribution
which
exposes
two
parameters
which
is
going
to
be
steepness
and
shift.
C
So
we
can
shift
this
signal
to
the
left.
We
can
shift
the
signal
to
the
right
and
we
can
parameterize
the
steepness
as
well.
We
can
increase
the
steepness
and
we
can
decrease
the
steepness.
So
by
tuning
these
two
parameters
on
the
sigmoid
function,
we
can
really
fine
tune,
the
the
voice
that
we're
going
for
who
who,
who
are
the
community
members
that
we
want
to
maximize
their
voice
when
it
comes
to
funding
distribution.
C
C
We
can
look
at
our
other
signal,
which
is
the
academy
credentials.
So
this
is
what
the
distribution
of
Academy
credentials
looks
like.
We
have
people
with
one
credentials,
two
three
four
and
five
and
we
can
apply
all
of
these
Transformations.
Similarly,
the
default
that
we
ran
with
tegr1
was
a
threshold
of
zero,
so
any
credential
holder
is
going
to
get
that
full
Boost,
but
we
can
do
something
like
apply
a
min
max
scale
so
that
the
more
credentials
you
have
the
more
of
a
boost,
you're
gonna,
get.
C
C
C
So
if
anyone's
getting
a
boost
from
TC
tokens
or
the
academy,
that's
be
aggregated
into
a
factor
of
one.
Basically,
this
this
was
tegr1.
Everyone
who
qualifies
gets
a
boost
level
of
one
there's,
no
differentiation.
So
if
you
have
either
Academy
or
TC
tokens
you're
going
to
get
that
boost,
we
could
combine
this.
So
I've
got
two
options
here,
which
is
the
max
or
the
sum.
C
So
if
we're
summing
boosts
we're
already
getting
to
some
more
interesting
results
where
you
can
get
the
token
holding
boost
and
the
credential
boost,
so
we
start
to
see
a
differentiator
here
where
we
have
a
set
of
people
who
are
both
holding
T,
C
tokens
and
having
Academy
credentials,
and
we
could
decide
to
give
those
people
a
2X
boost
within
this
dashboard.
We
can
continue
to
modulate
the
boosts
so
instead
of
setting
a
threshold,
maybe
we
want
to
set
a
let's
see
log
min
max
scale.
C
And
we're
going
to
start
to
get
some
more
interesting
results
results
here
on
the
total
boost
we
can
add,
boosts
here.
I'll
just
take
a
moment
and
say
this
is
a
rapid
development
prototype.
We
want
to
get
this
idea
out
here
in
front
of
the
community
in
a
quick
manner.
I've
been
working
on
this
for
about
two
months
with
with
feedback
from
the
coordination
team,
the
TC
advisory
network
and
and
some
community
members
like
Griff,
and
so
we
haven't
gone
through
this
with
the
designer.
C
C
C
So
once
we
were
happy
with
that
and
we've
got
our
boost
factory
set
up
the
way
we
want,
then
we
can
move
on
to
the
tunable
quadratic
funding
dashboard.
Now
I
just
really
got
this
working
about
one
minute
before
this
call,
as
per
usual:
agile,
rapid
Agile
development,
so
I
hope,
everything's
working,
it's
pretty
simple,
and
this
we
actually
have
some
deeper
like
visualizations
and
Analysis
on
this
in
some
jupyter
notebooks.
That
hasn't
quite
made
it
into
the
application.
C
This
might
not
be
the
easiest
data
table
to
glance
at
first
site.
But
if
you
take
a
look
at
here,
this
this
column
called
matching.
This
is
the
final
output
of
the
round
without
boosting-
and
here
we
have
matching
boosted,
which
is
the
final
output
of
the
round
with
the
SME
signal
injection
with
the
Boost
applied.
C
C
The
actual
results
from
tegr1
I'm,
not
sure.
If
that's
fully
connected.
If
this
updated
from
going
back
and
changing
that
but
yeah
in
theory,
we
should
be
getting
the
actual
results
from
tegr1
and
how
this
has
been
applied.
We
can
modulate
this
final
boosting
coefficient.
So
if
we
actually
set
this
to
zero,
then
you'll
see
the
matching
boosted
is
going
to
be
equivalent
to
matching
without
boosted,
and
then
we
can
modulate
this.
C
C
So
we
can
tune
that
both
boost
coefficient.
We
can
see
what
this
means
in
the
context
of
changing
the
size
of
the
matching
pool,
and
then
we
can
also
tune
this
parameter
here,
which
is
the
matching
percentage
cap.
So
if
we
wanted
to
have
a
10
percent
matching
percentage
cap,
we
could
take
a
look
at
what
that
means
in
the
context
of
boosting
as
well,
so
we're
putting
an
end-to-end
dashboard
together
for
operators
that
are
interested
in
applying
tunable,
qf
and
Signal.
C
Now
that
this
was
going
to
be
the
end
of
the
presentation,
but
in
the
last
minute
I
brought
back
something
I
was
looking
at
at
the
very
beginning.
You
know
a
couple
months
ago,
when
I
first
got
on
this
project
of
like
what
does
it
mean
to
have
a
boost
coefficient
on
your
donation
if
I
donated
ten
dollars
to
a
project
and
I
got
a
2X
SME
boost?
C
What's
the
impact,
and
so
here
we
have
a
little
math
calculator
where
the
parameters
are
the
original
Total
qf
that
a
project
is
getting,
and
what
this
means
here
is.
This
is,
if
I,
remember
correctly,
it's
the
output
of
the
qf
algorithm.
So
it's
going
to
be
the
square
of
the
sum
of
the
square
roots
of
the
donations,
so
this
is
the
the
qf
prior
to
you
making
any
donation.
C
The
percentage
of
the
qf
score
that
you're,
impacting
so
you
so
by
making
a
hundred
dollar
donation
with
a
boost,
boost
factor
of
4.8
on
a
project
that
already
had
a
qf
output
of
5000
you're,
actually
going
to
increase
that
this
could
probably
be
a
bit
cleaner
and
easier
to
follow.
But
you're
raising.
C
You
know
I
think
I'll
pause
on
this.
Now
it's
it's
been
literally
a
couple
months
since
I've
looked
at
this,
but
you
can
find
this
all
in
the
code
and
my
main
objective
with
doing
this
presentation
and
bringing
this
to
the
community
is
to
get
feedback
on
this
application
and
inspire
people
to
take
a
look
at
the
code.
C
C
B
That's
perfect:
we
actually
have
about
five
minutes
that
we
can
use
for
questions
in
general
or
just
to
add
any
any
other
comment
again.
If
anyone
has
questions
or
wants
to
jump
in,
you
can
either
request
to
talk
in
Discord.
There's
like
a
button
down
there,
where
you
can
similar
to
to
the
spaces
or
just
put
something
on
your
question
on
the
chat
and
I'll.
Ask
it
to
Sean,
but
you
know
I
think
maybe
adding
something
as
an
extra
comment.
I
think
it's
also
very
interesting.
C
Great
question
Griff,
there's
different
layers
to
look
at
this
system
and
different
parameters
that
we
can
explore.
For
example,
in
the
transformation
type
we
can
have
like
a
non-parameterized
transformation,
but
even
the
fact
that
you
can
select
what
transformation
you
want
to
apply
is
itself
a
parameter
and
I
think
you
also
might
be
hinting
at
like
how
do
we
combine
multiple
signals
without
getting
lost
in
complexity?
How
do
we
pull
apart
these
signals
and
know
what
impact
like
like?
How
can
we
talk
about
credentials
and
token
Holdings
in
the
same
operation?
C
Is
that
comparing
apples
to
oranges
and
are
we
just
going
to
overwhelm
communities
with
all
of
these
parameters
to
tune
I?
Think
that's
a
really
fair
point:
I!
Don't
I,
don't
know
what
what
part
of
that
is
exactly
your
question,
but
I
think
Simplicity
is
an
important
thing
to
strive
for.
So
what
I've
done
here
in
my
Approach
is
put
a
lot
of
Concepts
forward
I.
Think
some
of
these
are
very
new
novel
Concepts,
like
some
of
these
types
of
Transformations,
that
we
can
apply
to
token
distributions.
C
C
This
project
and
I
think
that
would
be
really
interesting
to
see
how
this
fits
in
the
context
of
the
greater
qf
story
and-
and
it's
like
one
piece
of
the
puzzle-
it's
one
operation
that
can
be
applied
through
the
all
the
steps
of
striving
to
fund
what
matters.
How
do
we
do
te
public
goods
funding
really
well?
C
We
believe
this
is
one
of
the
components
and
it'll
be
interesting
to
see
how
it
fits
into
the
greater
context
and
the
greater
story
of
qf
and
yeah
I
like
the
idea
of
having
the
least
amount
of
parameters
as
possible,
while
still
exposing,
like
maximal
maximum
capacity
for
the
community,
to
utilize
this.
This
approach.
But
it's
a
good
point
and
more
Paran
parties.
B
I
think
it's
the
balance
between
having
the
parameters
to
have
the
most
impact
with
funding,
but
not
to
the
not
to
the
point
where
you,
the
algorithm,
becomes
opinionated
by
the
operator,
because
you
like
the
guarantees
and
donors,
must
have
most
trust
the
operator
to
be
to
be.
You
know
an
intro
Force
when
doing
these
rounds.
There's
two
other
questions.
This
one
is
from
octopus.
He
saw
skin.
B
C
Great
question
great
question:
those
sometimes
those
are
some
the
best
moments
where
I'm
developing
something
like
this
and
I'll
see
results
and
I'll
immediately.
Think
it's
broken
that
there's
a
bug
in
my
code
and
I'll
spend
a
whole
day
debugging
until
I.
Finally
realize
wait
a
minute.
That's
actually
what
the
data
is
telling
me
like.
C
That's
actually
accurate,
now
I
feel
like
I've,
had
a
couple
of
those
small
moments
through
this
development
process,
but
I'm
hard
to
none
of
them
are
really
jumping
out
at
this
time,
I
I,
yeah
I,
think
there's
been
a
lot
of
small
surprises.
No
one
major
big
surprise
that
comes
to
mind
and
the
the
rest
of
the
team
might
have
some
points.
Like
one
small
thing
you
know
in
getting
the
data
getting
the
actual
data,
there
were
some
surprises
to
see
how
systems
are
being
managed,
like
the
academy
credentials.
C
Getting
to
the
root
of
this
data
through
Dune
was
a
bit
of
a
exploration,
and
there
were
some
funny
things
happening
through
the
provider.
That's
providing
the
service
for
the
academy
and
just
like
some
funny
things
in
the
data
tables
to
actually
be
able
to
get
this
data
sorted,
and
what
that
leads
me
to
is
I
think
this
process
is
often
worth
it
and
with
the
team
we
discussed,
we
want
to
frame
this
as
research.
First,
this
isn't
app
development
first.
C
B
Well,
thanks
for
the
answer
and
now
we're
going
to
jump
on
to
the
last
question.
We
have
to
do
these
this
one
fairly
quickly,
just
to
pass
over
to
the
last
section
of
this
call,
but
this
one
is
for
grief,
he's
asking
just
to
be
clear
when
we
say
2x
boost.
Are
we
saying
2xd
donation
or
2x?
The
final
power
there's
some
context
as
well
in
the
in
the
question,
but
that's
pretty
much
the
question
great.
C
It's
a
2X,
On,
Their
donation,
so
if
they
donated
ten
dollars
to
a
project,
we're
gonna
change
that
to
20
it's
going
to
look
like
they
donated
twenty
dollars
if
they
have
a
2X
boost,
so
it's
per
donation
and
what
that
there's
a
non-linear
gain
as
you.
Don't
larger
donations
effectively
get
a
larger
boost,
a
larger
relative
boost,
it's
an
it's,
a
non-linear
gain!
So
there's
that's
one
thing
that
was
surprising
is
that
this
system
could
also
incentivize.
C
B
Cool
thanks
I
seems
like
that's.
That's
all.
If
there's
any
other
questions
feel
free
to
add
them
in
the
chat.
Also
I
guess
this
is
fairly
new
like
we
are
just
starting
to
do
all
these
experiments
and
we
hope
to
be
able
to
continuously
have
these
spaces
to
just
get
feedback,
but
also
show
findings,
because
this
is
being
really
really
interesting.
C
I
just
want
to
say
thanks
everyone
for
the
time
today.
This
is
really
exciting.
I
hope,
I've
inspired
some
people
to
jump
in
thanks
to
octopus,
who's,
always
sort
of
leaving
breadcrumbs
along
the
way
to
follow
thanks
to
Griff,
who
just
grabbed
me
and
said:
hey
come
come
back
to
tec
and
do
something
cool
and
put
a
lot
of
faith
into
me
and
then
the
whole
coordination
team,
Gideon
Gideon's,
been
a
great
mentor
through
this
process
and
Isaac
I've
been
working
closely
with
Isaac
across
this
whole
development
cycle.
A
A
You
know,
boost
your
signal,
so
praise
is
definitely
a
good
thing
that
we
could
be
looking
at,
but
it
also
could
be
things
like
membership
in
a
community.
That's
another
one.
You
know
like
you
know.
If
you're
like
a
non-profit-
and
you
know
you've
given
to
you,
know
X
many
years,
then
you
know
that
boosts
your
signal,
but
also
some
really
interesting.
A
Things
like
you
know
you
can
imagine
like
physical
communities
like
your
neighborhood,
if
you
figured
out
a
way
to
verify
that
you
live
in
that
neighborhood
and
you
want
to
boost
the
signal
for
the
people
who
live
in
that
neighborhood
through
some
type
of
an
nft.
You
could
do
that
too.
I
mean
the
sky
is
the
limit
here.
It's
pretty
interesting
a
lot
of
creative
possibility
and
speaking
of
pull
apps,
we
are
going
to
be
issuing
pull
apps
for
attendance
at
the
Tec.
Community
calls,
so
that's
kind
of
cool,
so
maybe
who
knows?
A
Maybe
it
might
show
up
in
a
signal
in
the
future,
not
promising
that,
but
just
a
quick
update
on
TC
and
I
want
to
I'll.
You
know:
I'll
just
give
a
few
words
here
and
then
I
want
to
hand
it
off
to
Isaac
to
talk
a
little
bit
about
the
grant
projects,
what
we're
doing
there
and
bear
to
talk
about
ways
to
get
engaged
and
then
also
need
to
talk
about
some
events
that
are
coming
so
just
really
quickly.
You
know
a
lot.
The
TC's
been
through
a
lot
over
this
past
year.
A
A
Just
you
know
as
part
of
the
overall
bear
Market,
but
in
doing
that,
what's
cool
is
sometimes
constraints,
create
opportunities
and
I.
Think
that
there's
like
a
bunch
of
really
interesting
stuff
that
is
now
starting
to
emerge
here,
the
the
tqf
stuff
that
John
and
Isaac
and
Rex
and
octopus
are
working
on
is
one
thing
and
there's
all
kinds
of
interesting
conversations
that
are
happening
going
around
that.
A
A
There's
some
really
in-depth
research.
I,
don't
know
if
you've
all
heard
about
the
token
engineering
stakeholder
study
at
Olivia,
Olivia
and
a
bunch
of
other
folks
have
helped
to
run
it's
like
40,
in-depth,
40,
plus
in-depth
interviews.
Sean
was
involved
in
that
too,
pretty
in-depth
interviews
with
t
token
engineering
practitioners
in
the
field
that
will
be
coming
out,
the
the
results
of
that
research
will
be
coming
out.
A
Probably
we're
Tam
who's
on
the
call
has
just
published
a
proposal
for
or
basically
it's
really
just
an
overview
of,
how
we're
going
to
be
rolling
out
at
token
engineering
Commons
advisory
network
tcan.
So
that's
already
starting
and
we're
going
to
be
helping
that
over
the
next
that
that's
up
on
the
Forum
and
then
also
some
really
cool
stuff.
A
B
We
had
just
about
15
grantees
first
round
was
like
16
in
in
this
second
round.
We
had
14
now
to
be
exact.
We
had
more
than
almost
2
000
unique
contributors
on
the
second
round
and
with
almost
three
2.5
000
2.5
k
contributions,
some
of
them
after
reviewing
them,
looked
a
bit
suspicious.
We
are
still
working
on
that,
but
we
are
generally.
B
We
are
really
happy
and
seems
like
we
are
going
to
be
investing
a
lot
more
into
this
program
now
to
be
excited
for
those
who
may
Wonder
in
about
the
results
of
the
wrong
two.
We
just
just
yesterday,
we
met
with
Omar
at
Bitcoin
who's.
The
that
analyst
he's
helping
us
do
some
of
these
civil
analysis
based
on
the
OB
of
the
tools
and
algorithms
that
they
have
internally
to
to
investigate
that.
So
we
now
have
the
files
after
receiving
analysis
and
we'll
be
processing
all
the
matching
boost
and
all
other
calculations
these
days.
B
B
The
following
round
should
be
happening
somewhere
around
November,
because
we
are
a
feature-round
of
the
git
coin
grants
program.
We
there's
a
bit
of
coordination
to
do
with
them
and
On
The
Run
of
creators,
but
we
are
looking
at
that
November
December
for
the
last
round.
With
that.
That's
all
now
I'll
pass
it
over
to
both
either
bear
and
need
for
some
last
words
I'm
trying
to
bring
you
up
here,
but
I
don't
see!
D
Okay,
yeah
I
just
wanted
to
add
some
updates
on
events
that
are
going
to
be
happening
within
the
te
Community.
As
you
can
all
see,
we've
all
been
back
to
our
produces
really
exciting.
We're
going
to
continue
this
Trend
going
forward
each
month
planning
on
every
third
Wednesday
of
each
month
to
host
this
community
call,
and
it
will
be
in
different
formats.
In
addition
to
the
community
call,
we
will
also
have
to
token
engineering
as
a
public
good
event.
D
Series
on
Twitter
spaces
we'll
be
interviewing
token
engineers
in
different
aspects
of
the
field
regarding
public
goods,
so
this
could
be
really
exciting
as
well.
Another
big
update
is,
if
you
are
a
student
of
the
token
engineering
Academy,
you
have
a
token
engineering
fundamentals
courses.
They
will
be
having
minting
parties
on
October
5th,
6th
and
9th
to
Mint
your
nfts
for
free,
and
this
applies
very
closely
to
what
we're
doing
here
with
the
grants
program
and
the
booths
that
are
happening.
D
E
E
You
know
we
have
like
the
token
engineering
stakeholder
study
that
has
been
doing
a
lot
of
interesting
research
and
trying
to
answer
some
of
these
fundamental
questions
about
what
talking
engineering
is
and,
and
how
does
this
affect
all
of
its
stakeholders,
so
super
interesting.
You
can
sign
up
to
receive
the
full
report
once
that
it's
released
that
we're
hoping
that
it's
at
the
at
the
end
of
next
month.
Probably
we
also
have
like
the
bcrg
group.
If
you're
interested
in
bonding
curve
research
definitely
join,
join
ygg,
Jeff
curious,
rabbit.
E
It
octopuses,
Rex,
there's
just
a
great
group
of
people
there
and
really
interesting
conversations
that
that
happen.
Every
Thursday
2
p.m.
Est
you
can
always
join
them.
We
what
else
we
also
have
in
the
Forum
of
the
TC.
A
lot
of
really
interesting
conversations
are
starting
to
come
up
in
regards
with
the
talking
engineering,
Commons
advisory
network
and
it's
corresponding
building.
How
is
that
gonna?
E
Have
your
boys
hear
them
and
just
contribute
to
to
the
field
and
to
the
to
the
comments
I'm,
just
gonna
show
you
here
on
the
chat,
a
couple
of
resources
about
some
of
these
opportunities
that
I
just
I
just
talked
about.
You
can
just
like
a
pretty
easy,
get
more
context
about
them
and
yeah
with
that
I'll
just
pass
it
back
to
you,
Isaac.