Top 150 effective steemit curators in TR category for the last week 19 mei 2018

I want to share with you statistics about the most effective Steemit curators in TR category.

This statistic is not about how much the authors or curators have earned. This statistics shows the list of curators, whose contribution to the reward pool distribution is the most signific

Once I have published a post where I made a researsh what categories are most profitable on Steemit.

I showed there that TR category took one of the largest part of the reward pool on that week. Looks like TR community is one of the biggest and strongest on Steemit. So I decided to made a top of the most effective Steemit curators in TR category.

This time I even made a last week rating of the national and language communities included in the TOP-100 categories for total rewards.

№
Category
Authors
Posts
Reward (SBD)
Share %
1
kr
1368
5677
32794
3,591
2
spanish
2174
4688
11673
1,278
3
cn
308
1296
6730
0,737
4
tr
290
977
6385
0,699
5
deutsch
352
1128
5246
0,574
6
ita
146
393
3496
0,383
7
myanmar
182
539
2757
0,302
8
indonesia
709
1838
2185
0,239
9
japanese
134
496
1924
0,211
10
fr
113
324
1914
0,21
11
pt
101
376
1492
0,163
12
thai
136
441
1341
0,147
13
india
73
141
1321
0,145
The category is a first tag in the post

What does this mean?
You can say that there is nothing interesting in this statistics. That it is clear that the reward pool is distributed by whales. But!

The most interesting thing is how the curator distributes the reward pool. He can vote only for his posts and his comments. He can vote for a selected circle of authors and affiliated accounts. But also he can vote for a large number of authors who publish interesting content.

Thus, an effective curator is a curator who has sufficient Steem Power (he can be an investor or a popular author who has earned his Steem Power by publishing interesting content), devoting time and effort to the content curating at Steemit and distributing a reward pool in favor of the authors. And the efficiency level is estimated by how much SBD curator distributes among as many authors as possible.

How it works?
Votes - Each curator distributes a certain part of the reward pool with his votes (upvote / flag).

Authors - This part of the pool he distributes between a certain number of authors.

VAS (vote average strength) - For general awareness, we can estimate the average vote strength in percents (%), with which the curator votes.

Contr. (SBD) (Contribution in SBD) - The distributed part of the pool is the contribution of the curator, it is calculated in SBD. In this case, the author's reward is taken into account. The curator's reward is not taken into account.

Share % - The percentage of the curator contribution among the contributions of all curators, we can also estimate for information purposes in %.

Eff. - The effectiveness of the curator is estimated in conventional units and is calculated as follows.

The total number of authors who published their posts for the period under study is determined.
Then the contribution of the curator is divided by the total number of authors, and then multiplied by the number of authors for whom the curator voted for the period.

Thus, we see that, having distributed even a smaller number of SBD between a larger number of authors, the curator can be more effective than other curators. At the same time, having a greater voice power, but not actively voting, supporting a small number of authors, the curator takes a lower position in the rating.

And now, statistics.

290 authors published their posts during this week.

5838 accounts participated in the content curating according to information from the database.

27121 votes were made during this week.

6374,72 SBD - is the total author rewards for this week.

TOP-200 effective curators for for the last week
№
Account
Votes
Authors
VAS(%)
Contr. (SBD)
Share %
Eff.
1
@kusadasi
55
51
14
250,78
3,93
44,1
2
@emrebeyler
237
91
14
128,48
2,02
40,32
3
@try-market
49
48
18
125,63
1,97
20,79
4
@muratkbesiroglu
329
128
8
34,44
0,54
15,2
5
@hwawol
40
32
22
134,97
2,12
14,89
6
@arafs
82
31
57
92,78
1,46
9,92
7
@anadolu
134
53
23
53,83
0,84
9,84
8
@jumbot
156
52
23
38,26
0,6
6,86
9
@hr1
112
68
0
28,03
0,44
6,57
10
@candyboy
22
8
12
116,52
1,83
3,21
11
@pharesim
55
44
0
19,62
0,31
2,98
12
@reggaemuffin
6
6
46
103,32
1,62
2,14
13
@xeldal
5
2
49
307,14
4,82
2,12
14
@someonewhoisme
10
8
55
71,01
1,11
1,96
15
@freeyourmind
6
6
62
76,89
1,21
1,59
16
@snowflake
8
8
59
56,03
0,88
1,55
17
@esteemapp
41
22
0
19,87
0,31
1,51
18
@davidding
4
4
58
90,69
1,42
1,25
19
@xaero1
5
1
100
335,98
5,27
1,16
20
@treasureteam
45
12
51
24,46
0,38
1,01
21
@sndbox
7
3
18
88,67
1,39
0,92
22
@good-karma
42
22
0
10,41
0,16
0,79
23
@fetch
66
40
100
4,89
0,08
0,67
24
@eric818
4
4
100
38,32
0,6
0,53
25
@steemit-turkey
71
20
39
6,77
0,11
0,47
26
@readmore
33
23
100
5,77
0,09
0,46
27
@kaylinart
8
8
48
15,41
0,24
0,43
28
@bybrawe
174
64
16
1,85
0,03
0,41
29
@monomyth
66
29
18
4,1
0,06
0,41
30
@sorucevap
106
38
31
3,14
0,05
0,41
31
@inceptionally
6
5
71
20,87
0,33
0,36
32
@simulasyon
52
6
94
16,94
0,27
0,35
33
@ahmetay
49
14
84
5,21
0,08
0,25
34
@bhuz
2
1
72
69,57
1,09
0,24
35
@mesafe
74
31
47
1,99
0,03
0,21
36
@kamikaze
4
4
67
14,2
0,22
0,2
37
@tach
22
16
100
3,42
0,05
0,19
38
@tolgahanuzun
94
41
35
1,3
0,02
0,18
39
@peri
58
21
31
2,4
0,04
0,17
40
@peaceandlove
4
4
48
12,55
0,2
0,17
41
@ygmraykt
34
23
97
2,03
0,03
0,16
42
@tincho
4
4
65
11,27
0,18
0,16
43
@alexis555
3
3
14
14,26
0,22
0,15
44
@claudiop63
14
13
84
3,37
0,05
0,15
45
@gokhan83kurt
64
23
28
1,85
0,03
0,15
46
@coinmeria
79
51
35
0,79
0,01
0,14
47
@ioc
2
1
100
39,77
0,62
0,14
48
@trdaily
53
46
100
0,74
0,01
0,12
49
@yoo1900
1
1
44
34,99
0,55
0,12
50
@sozdemir
10
7
99
4,65
0,07
0,11
51
@revan746
44
12
45
2,66
0,04
0,11
52
@yasujizr
138
61
28
0,49
0,01
0,1
53
@captainsailor
70
47
86
0,59
0,01
0,1
54
@sauronbey
181
52
21
0,53
0,01
0,1
55
@mahsumakbas
30
19
100
1,45
0,02
0,1
56
@team
8
8
10
3,43
0,05
0,09
57
@robertking
5
5
62
4,81
0,08
0,08
58
@talaxy
52
35
36
0,69
0,01
0,08
59
@baycan
65
37
100
0,65
0,01
0,08
60
@trail
3
1
67
21,78
0,34
0,08
61
@osmania
22
13
86
1,87
0,03
0,08
62
@matt-a
1
1
100
22,65
0,36
0,08
63
@blockops
3
3
45
7,42
0,12
0,08
64
@luna33
5
5
77
4,37
0,07
0,08
65
@marketstack
54
26
1
0,85
0,01
0,08
66
@feronio
38
22
83
0,93
0,01
0,07
67
@enki
1
1
100
21,2
0,33
0,07
68
@ghasemkiani
10
9
5
2,32
0,04
0,07
69
@queqtra
51
22
90
0,91
0,01
0,07
70
@pars11
26
21
100
0,81
0,01
0,06
71
@zoltarian
27
7
52
2,63
0,04
0,06
72
@enlil
1
1
100
16,48
0,26
0,06
73
@ercu
9
7
58
2,64
0,04
0,06
74
@realinfo
22
17
34
1,05
0,02
0,06
75
@e-babil
45
20
32
0,93
0,01
0,06
76
@kamuhuzuru
78
35
69
0,5
0,01
0,06
77
@tortug
38
9
83
2
0,03
0,06
78
@warjar
3
3
100
5,91
0,09
0,06
79
@keepcalmandread
45
18
100
0,89
0,01
0,06
80
@steps
5
3
70
5,1
0,08
0,05
81
@investegg
4
3
78
4,61
0,07
0,05
82
@imacryptorick
2
2
79
7,32
0,11
0,05
83
@yataydeli
28
20
20
0,78
0,01
0,05
84
@ripperone
2
2
14
6,41
0,1
0,04
85
@semihbalkanli
73
40
47
0,26
0
0,04
86
@hayirhah
112
63
26
0,19
0
0,04
87
@bluesky6
24
17
100
0,7
0,01
0,04
88
@netya
66
24
71
0,45
0,01
0,04
89
@qurator-tier-1-2
11
6
3
1,72
0,03
0,04
90
@hakan8686
34
14
100
0,9
0,01
0,04
91
@famil
33
8
85
1,29
0,02
0,04
92
@ethemkibar
29
5
85
2,52
0,04
0,04
93
@kagantrky
109
52
32
0,22
0
0,04
94
@bym
55
22
82
0,51
0,01
0,04
95
@ahmeterbay
31
24
86
0,34
0,01
0,03
96
@dianna1
37
15
9
0,5
0,01
0,03
97
@whiterabb1t
159
55
16
0,15
0
0,03
98
@ssin
1
1
100
8,67
0,14
0,03
99
@oendertuerk
10
4
23
2,1
0,03
0,03
100
@simnrodrguez
3
3
100
2,63
0,04
0,03
101
@jseomun
2
2
100
3,84
0,06
0,03
102
@ecotone
37
22
95
0,37
0,01
0,03
103
@wuhotan
13
10
2
0,73
0,01
0,03
104
@ewq
40
10
19
0,87
0,01
0,03
105
@rockz
4
3
46
2,85
0,04
0,03
106
@ladymorgana
3
3
67
2,71
0,04
0,03
107
@msp-shanehug
16
4
7
1,86
0,03
0,03
108
@kujou
33
29
100
0,33
0,01
0,03
109
@thegossip
40
20
72
0,5
0,01
0,03
110
@dong262514
3
3
68
2,5
0,04
0,03
111
@steemdunk
4
4
40
2,23
0,03
0,03
112
@misalen
15
8
100
1,13
0,02
0,03
113
@halitsarpkaya
31
16
100
0,52
0,01
0,03
114
@matematikciemre
81
35
39
0,29
0
0,03
115
@ucmuharfli
158
52
9
0,14
0
0,03
116
@agememnon
67
30
38
0,16
0
0,02
117
@amazons
12
4
100
1,72
0,03
0,02
118
@iluvatar100
59
22
32
0,23
0
0,02
119
@voronoi
4
3
15
2,31
0,04
0,02
120
@ash
2
2
66
3,51
0,06
0,02
121
@airbud23
2
2
35
3,03
0,05
0,02
122
@newhope
1
1
14
5,64
0,09
0,02
123
@dangerux
33
18
100
0,33
0,01
0,02
124
@bayeco06
17
11
100
0,62
0,01
0,02
125
@cookit
2
2
69
2,38
0,04
0,02
126
@billbutler
2
2
46
2,33
0,04
0,02
127
@alkmaar
39
20
74
0,27
0
0,02
128
@pepegusi
17
8
100
0,73
0,01
0,02
129
@unforgettable
37
17
97
0,36
0,01
0,02
130
@barut
59
39
40
0,13
0
0,02
131
@arcange
12
6
2
1,1
0,02
0,02
132
@bongje
4
3
75
1,82
0,03
0,02
133
@dvf
3
2
100
2,29
0,04
0,02
134
@accelerator
3
3
11
1,49
0,02
0,02
135
@qustodian
3
2
64
3,54
0,06
0,02
136
@costanza
3
3
76
1,81
0,03
0,02
137
@miri97
36
7
74
0,75
0,01
0,02
138
@hansikhouse
7
3
9
2,28
0,04
0,02
139
@ecotrain
7
5
7
1,35
0,02
0,02
140
@steeminator3000
3
2
100
2,74
0,04
0,02
141
@ornitorenk
27
3
87
2,25
0,04
0,02
142
@faithcalls
21
16
100
0,42
0,01
0,02
143
@obulunmaz
25
10
100
0,48
0,01
0,02
144
@trliste
23
16
100
0,36
0,01
0,02
145
@trogdor
2
2
50
2,95
0,05
0,02
146
@rinpoche
34
18
100
0,34
0,01
0,02
147
@slothicorn
2
1
25
5,16
0,08
0,02
148
@gunthertopp
2
2
88
2,91
0,05
0,02
149
@istiaq69
2
2
100
2,25
0,04
I want to share with you statistics about the most effective Steemit curators in TR category.

This statistic is not about how much the authors or curators have earned. This statistics shows the list of curators, whose contribution to the reward pool distribution is the most significant.

image source

Once I have published a post where I made a researsh what categories are most profitable on Steemit.

I showed there that TR category took one of the largest part of the reward pool on that week. Looks like TR community is one of the biggest and strongest on Steemit. So I decided to made a top of the most effective Steemit curators in TR category.

This time I even made a last week rating of the national and language communities included in the TOP-100 categories for total rewards.

№
Category
Authors
Posts
Reward (SBD)
Share %
1
kr
1368
5677
32794
3,591
2
spanish
2174
4688
11673
1,278
3
cn
308
1296
6730
0,737
4
tr
290
977
6385
0,699
5
deutsch
352
1128
5246
0,574
6
ita
146
393
3496
0,383
7
myanmar
182
539
2757
0,302
8
indonesia
709
1838
2185
0,239
9
japanese
134
496
1924
0,211
10
fr
113
324
1914
0,21
11
pt
101
376
1492
0,163
12
thai
136
441
1341
0,147
13
india
73
141
1321
0,145
The category is a first tag in the post

What does this mean?
You can say that there is nothing interesting in this statistics. That it is clear that the reward pool is distributed by whales. But!

The most interesting thing is how the curator distributes the reward pool. He can vote only for his posts and his comments. He can vote for a selected circle of authors and affiliated accounts. But also he can vote for a large number of authors who publish interesting content.

Thus, an effective curator is a curator who has sufficient Steem Power (he can be an investor or a popular author who has earned his Steem Power by publishing interesting content), devoting time and effort to the content curating at Steemit and distributing a reward pool in favor of the authors. And the efficiency level is estimated by how much SBD curator distributes among as many authors as possible.

How it works?
Votes - Each curator distributes a certain part of the reward pool with his votes (upvote / flag).

Authors - This part of the pool he distributes between a certain number of authors.

VAS (vote average strength) - For general awareness, we can estimate the average vote strength in percents (%), with which the curator votes.

Contr. (SBD) (Contribution in SBD) - The distributed part of the pool is the contribution of the curator, it is calculated in SBD. In this case, the author's reward is taken into account. The curator's reward is not taken into account.

Share % - The percentage of the curator contribution among the contributions of all curators, we can also estimate for information purposes in %.

Eff. - The effectiveness of the curator is estimated in conventional units and is calculated as follows.

The total number of authors who published their posts for the period under study is determined.
Then the contribution of the curator is divided by the total number of authors, and then multiplied by the number of authors for whom the curator voted for the period.

Thus, we see that, having distributed even a smaller number of SBD between a larger number of authors, the curator can be more effective than other curators. At the same time, having a greater voice power, but not actively voting, supporting a small number of authors, the curator takes a lower position in the rating.

And now, statistics.

290 authors published their posts during this week.

5838 accounts participated in the content curating according to information from the database.

27121 votes were made during this week.

6374,72 SBD - is the total author rewards for this week.

TOP-200 effective curators for for the last week
№
Account
Votes
Authors
VAS(%)
Contr. (SBD)
Share %
Eff.
1
@kusadasi
55
51
14
250,78
3,93
44,1
2
@emrebeyler
237
91
14
128,48
2,02
40,32
3
@try-market
49
48
18
125,63
1,97
20,79
4
@muratkbesiroglu
329
128
8
34,44
0,54
15,2
5
@hwawol
40
32
22
134,97
2,12
14,89
6
@arafs
82
31
57
92,78
1,46
9,92
7
@anadolu
134
53
23
53,83
0,84
9,84
8
@jumbot
156
52
23
38,26
0,6
6,86
9
@hr1
112
68
0
28,03
0,44
6,57
10
@candyboy
22
8
12
116,52
1,83
3,21
11
@pharesim
55
44
0
19,62
0,31
2,98
12
@reggaemuffin
6
6
46
103,32
1,62
2,14
13
@xeldal
5
2
49
307,14
4,82
2,12
14
@someonewhoisme
10
8
55
71,01
1,11
1,96
15
@freeyourmind
6
6
62
76,89
1,21
1,59
16
@snowflake
8
8
59
56,03
0,88
1,55
17
@esteemapp
41
22
0
19,87
0,31
1,51
18
@davidding
4
4
58
90,69
1,42
1,25
19
@xaero1
5
1
100
335,98
5,27
1,16
20
@treasureteam
45
12
51
24,46
0,38
1,01
21
@sndbox
7
3
18
88,67
1,39
0,92
22
@good-karma
42
22
0
10,41
0,16
0,79
23
@fetch
66
40
100
4,89
0,08
0,67
24
@eric818
4
4
100
38,32
0,6
0,53
25
@steemit-turkey
71
20
39
6,77
0,11
0,47
26
@readmore
33
23
100
5,77
0,09
0,46
27
@kaylinart
8
8
48
15,41
0,24
0,43
28
@bybrawe
174
64
16
1,85
0,03
0,41
29
@monomyth
66
29
18
4,1
0,06
0,41
30
@sorucevap
106
38
31
3,14
0,05
0,41
31
@inceptionally
6
5
71
20,87
0,33
0,36
32
@simulasyon
52
6
94
16,94
0,27
0,35
33
@ahmetay
49
14
84
5,21
0,08
0,25
34
@bhuz
2
1
72
69,57
1,09
0,24
35
@mesafe
74
31
47
1,99
0,03
0,21
36
@kamikaze
4
4
67
14,2
0,22
0,2
37
@tach
22
16
100
3,42
0,05
0,19
38
@tolgahanuzun
94
41
35
1,3
0,02
0,18
39
@peri
58
21
31
2,4
0,04
0,17
40
@peaceandlove
4
4
48
12,55
0,2
0,17
41
@ygmraykt
34
23
97
2,03
0,03
0,16
42
@tincho
4
4
65
11,27
0,18
0,16
43
@alexis555
3
3
14
14,26
0,22
0,15
44
@claudiop63
14
13
84
3,37
0,05
0,15
45
@gokhan83kurt
64
23
28
1,85
0,03
0,15
46
@coinmeria
79
51
35
0,79
0,01
0,14
47
@ioc
2
1
100
39,77
0,62
0,14
48
@trdaily
53
46
100
0,74
0,01
0,12
49
@yoo1900
1
1
44
34,99
0,55
0,12
50
@sozdemir
10
7
99
4,65
0,07
0,11
51
@revan746
44
12
45
2,66
0,04
0,11
52
@yasujizr
138
61
28
0,49
0,01
0,1
53
@captainsailor
70
47
86
0,59
0,01
0,1
54
@sauronbey
181
52
21
0,53
0,01
0,1
55
@mahsumakbas
30
19
100
1,45
0,02
0,1
56
@team
8
8
10
3,43
0,05
0,09
57
@robertking
5
5
62
4,81
0,08
0,08
58
@talaxy
52
35
36
0,69
0,01
0,08
59
@baycan
65
37
100
0,65
0,01
0,08
60
@trail
3
1
67
21,78
0,34
0,08
61
@osmania
22
13
86
1,87
0,03
0,08
62
@matt-a
1
1
100
22,65
0,36
0,08
63
@blockops
3
3
45
7,42
0,12
0,08
64
@luna33
5
5
77
4,37
0,07
0,08
65
@marketstack
54
26
1
0,85
0,01
0,08
66
@feronio
38
22
83
0,93
0,01
0,07
67
@enki
1
1
100
21,2
0,33
0,07
68
@ghasemkiani
10
9
5
2,32
0,04
0,07
69
@queqtra
51
22
90
0,91
0,01
0,07
70
@pars11
26
21
100
0,81
0,01
0,06
71
@zoltarian
27
7
52
2,63
0,04
0,06
72
@enlil
1
1
100
16,48
0,26
0,06
73
@ercu
9
7
58
2,64
0,04
0,06
74
@realinfo
22
17
34
1,05
0,02
0,06
75
@e-babil
45
20
32
0,93
0,01
0,06
76
@kamuhuzuru
78
35
69
0,5
0,01
0,06
77
@tortug
38
9
83
2
0,03
0,06
78
@warjar
3
3
100
5,91
0,09
0,06
79
@keepcalmandread
45
18
100
0,89
0,01
0,06
80
@steps
5
3
70
5,1
0,08
0,05
81
@investegg
4
3
78
4,61
0,07
0,05
82
@imacryptorick
2
2
79
7,32
0,11
0,05
83
@yataydeli
28
20
20
0,78
0,01
0,05
84
@ripperone
2
2
14
6,41
0,1
0,04
85
@semihbalkanli
73
40
47
0,26
0
0,04
86
@hayirhah
112
63
26
0,19
0
0,04
87
@bluesky6
24
17
100
0,7
0,01
0,04
88
@netya
66
24
71
0,45
0,01
0,04
89
@qurator-tier-1-2
11
6
3
1,72
0,03
0,04
90
@hakan8686
34
14
100
0,9
0,01
0,04
91
@famil
33
8
85
1,29
0,02
0,04
92
@ethemkibar
29
5
85
2,52
0,04
0,04
93
@kagantrky
109
52
32
0,22
0
0,04
94
@bym
55
22
82
0,51
0,01
0,04
95
@ahmeterbay
31
24
86
0,34
0,01
0,03
96
@dianna1
37
15
9
0,5
0,01
0,03
97
@whiterabb1t
159
55
16
0,15
0
0,03
98
@ssin
1
1
100
8,67
0,14
0,03
99
@oendertuerk
10
4
23
2,1
0,03
0,03
100
@simnrodrguez
3
3
100
2,63
0,04
0,03
101
@jseomun
2
2
100
3,84
0,06
0,03
102
@ecotone
37
22
95
0,37
0,01
0,03
103
@wuhotan
13
10
2
0,73
0,01
0,03
104
@ewq
40
10
19
0,87
0,01
0,03
105
@rockz
4
3
46
2,85
0,04
0,03
106
@ladymorgana
3
3
67
2,71
0,04
0,03
107
@msp-shanehug
16
4
7
1,86
0,03
0,03
108
@kujou
33
29
100
0,33
0,01
0,03
109
@thegossip
40
20
72
0,5
0,01
0,03
110
@dong262514
3
3
68
2,5
0,04
0,03
111
@steemdunk
4
4
40
2,23
0,03
0,03
112
@misalen
15
8
100
1,13
0,02
0,03
113
@halitsarpkaya
31
16
100
0,52
0,01
0,03
114
@matematikciemre
81
35
39
0,29
0
0,03
115
@ucmuharfli
158
52
9
0,14
0
0,03
116
@agememnon
67
30
38
0,16
0
0,02
117
@amazons
12
4
100
1,72
0,03
0,02
118
@iluvatar100
59
22
32
0,23
0
0,02
119
@voronoi
4
3
15
2,31
0,04
0,02
120
@ash
2
2
66
3,51
0,06
0,02
121
@airbud23
2
2
35
3,03
0,05
0,02
122
@newhope
1
1
14
5,64
0,09
0,02
123
@dangerux
33
18
100
0,33
0,01
0,02
124
@bayeco06
17
11
100
0,62
0,01
0,02
125
@cookit
2
2
69
2,38
0,04
0,02
126
@billbutler
2
2
46
2,33
0,04
0,02
127
@alkmaar
39
20
74
0,27
0
0,02
128
@pepegusi
17
8
100
0,73
0,01
0,02
129
@unforgettable
37
17
97
0,36
0,01
0,02
130
@barut
59
39
40
0,13
0
0,02
131
@arcange
12
6
2
1,1
0,02
0,02
132
@bongje
4
3
75
1,82
0,03
0,02
133
@dvf
3
2
100
2,29
0,04
0,02
134
@accelerator
3
3
11
1,49
0,02
0,02
135
@qustodian
3
2
64
3,54
0,06
0,02
136
@costanza
3
3
76
1,81
0,03
0,02
137
@miri97
36
7
74
0,75
0,01
0,02
138
@hansikhouse
7
3
9
2,28
0,04
0,02
139
@ecotrain
7
5
7
1,35
0,02
0,02
140
@steeminator3000
3
2
100
2,74
0,04
0,02
141
@ornitorenk
27
3
87
2,25
0,04
0,02
142
@faithcalls
21
16
100
0,42
0,01
0,02
143
@obulunmaz
25
10
100
0,48
0,01
0,02
144
@trliste
23
16
100
0,36
0,01
0,02
145
@trogdor
2
2
50
2,95
0,05
0,02
146
@rinpoche
34
18
100
0,34
0,01
0,02
147
@slothicorn
2
1
25
5,16
0,08
0,02
148
@gunthertopp
2
2
88
2,91
0,05
0,02
149
@istiaq69
2
2
100
2,25
0,04
0,02
150
@efsane
13
2
85
3,26
0,05
0,02
151
@ana-maria
3
3
100
1,63
0,03
0,02
152
@nokodemion
2
2
80
0,86
0,01
0,01
153
@ogochukwu
3
2
73
1,38
0,02
0,01
154
@shortcut
5
2
15
0,92
0,01
0,01
155
@mangos
1
1
15
2,59
0,04
0,01
156
@looktothefuture
1
1
40
2,36
0,04
0,01
157
@wolfofsteemit
9
2
100
1,39
0,02
0,01
158
@shirothezero
4
1
60
2,95
0,05
0,01
159
@andyluy
2
2
100
1,26
0,02
0,01
160
@gbenga
1
1
100
2,79
0,04
0,01
161
@aurimo
2
2
100
1,13
0,02
0,01
162
@laurabanfield
1
1
100
2,49
0,04
0,01
163
@dexter-k
4
4
27
0,93
0,01
0,01
164
@webdeals
1
1
100
2,15
0,03
0,01
165
@hossary
1
1
100
1,62
0,03
0,01
166
@raised2b
1
1
100
2,14
0,03
0,01
167
@hakanlama
13
7
71
0,28
0
0,01
168
@steemtrail
4
1
62
4,18
0,07
0,01
169
@cuaderno
76
57
46
0,04
0
0,01
170
@kharrazi
2
2
100
0,78
0,01
0,01
171
@fayescott
2
2
18
0,75
0,01
0,01
172
@raycoms
2
2
77
1,23
0,02
0,01
173
@sensigo
3
2
100
0,92
0,01
0,01
174
@uwelang
1
1
100
4,2
0,07
0,01
175
@spectrumecons
1
1
100
2,74
0,04
0,01
176
@noxite
21
21
100
0,1
0
0,01
177
@melbookermusic
3
2
100
1,12
0,02
0,01
178
@robotq
3
3
79
1,4
0,02
0,01
179
@creativecrypto
1
1
50
2,55
0,04
0,01
180
@maryfavour
2
2
54
1,98
0,03
0,01
181
@r2cornell
2
1
42
2,81
0,04
0,01
182
@ew-and-patterns
1
1
20
2,01
0,03
0,01
183
@introduce.bot
2
2
52
1,55
0,02
0,01
184
@steemnews-fr
23
15
96
0,24
0
0,01
185
@peskov
3
3
75
0,51
0,01
0,01
186
@icepack
4
1
41
1,54
0,02
0,01
187
@mevsuf
24
5
100
0,68
0,01
0,01
188
@artizm
18
12
100
0,25
0
0,01
189
@bobbylee
1
1
27
2,7
0,04
0,01
190
@qberry
2
2
100
0,81
0,01
0,01
191
@farmerturkey
23
16
100
0,23
0
0,01
192
@ourdailyboard
2
1
100
3,08
0,05
0,01
193
@whalecreator
3
3
13
1,13
0,02
0,01
194
@xiaoliang
1
1
100
2,2
0,03
0,01
195
@softmetal
3
3
100
0,64
0,01
0,01
196
@tysler
2
1
100
3,39
0,05
0,01
197
@kalvas
7
4
81
0,6
0,01
0,01
198
@frank.william
2
1
100
1,59
0,02
0,01
199
@orcunk.karaca
23
16
50
0,24
0
0,01
200
@opaulo
4
2
14
1,35
0,02
0,01
I took all vote bots (most of them are working like pay for vote) in the separate table. Because we can't call them effective curators. Their work depends on authors payments and activity.
If you know another bots in the list above please tell me about it.

№
Account
Votes
Authors
VAS(%)
Contr. (SBD)
Share %
Eff.
1
@minnowbooster
19
8
23
1521,97
23,88
41,99
2
@postpromoter
18
11
2
263,06
4,13
9,98
3
@appreciator
17
9
4
199,47
3,13
6,19
4
@minnowsupport
149
86
0
17,78
0,28
5,27
5
@rocky1
14
7
3
139,83
2,19
3,38
6
@promobot
10
6
11
158,34
2,48
3,28
7
@upme
9
6
4
109,59
1,72
2,27
8
@therising
15
10
3
59,98
0,94
2,07
9
@jerrybanfield
15
14
3
42,27
0,66
2,04
10
@dailyupvotes
28
11
29
52,86
0,83
2,01
11
@brupvoter
33
12
18
39,31
0,62
1,63
12
@buildawhale
5
4
6
111,52
1,75
1,54
13
@upmewhale
17
12
3
36,96
0,58
1,53
14
@oceanwhale
26
12
29
36,1
0,57
1,49
15
@smartsteem
6
5
4
83,28
1,31
1,44
16
@boomerang
10
5
7
72,11
1,13
1,24
17
@sneaky-ninja
15
12
3
29,92
0,47
1,24
18
@profitvote
31
12
32
29,34
0,46
1,21
19
@booster
12
7
1
26,43
0,41
0,64
20
@upmyvote
6
6
6
28,89
0,45
0,6
21
@passive
45
25
86
5,51
0,09
0,48
22
@emperorofnaps
17
14
2
9,47
0,15
0,46
23
@inciter
14
11
7
11,77
0,18
0,45
24
@edensgarden
12
10
10
12,86
0,2
0,44
25
@spydo
13
9
9
14,27
0,22
0,44
26
@tipu
11
7
13
16,51
0,26
0,4
27
@busy.org
26
19
0
4,93
0,08
0,32
28
@honestbot
24
7
46
13,17
0,21
0,32
29
@estabond
16
11
2
6,22
0,1
0,24
30
@aksdwi
14
10
9
7,09
0,11
0,24
31
@mercurybot
17
9
1
5,69
0,09
0,18
32
@zapzap
22
19
90
2,42
0,04
0,16
33
@pushup
10
6
4
6,89
0,11
0,14
34
@drotto
58
24
1
1,73
0,03
0,14
35
@seakraken
12
7
7
5,28
0,08
0,13
36
@msp-bidbot
9
8
11
4,75
0,07
0,13
37
@bumper
8
4
18
8,73
0,14
0,12
38
@minnowvotes
11
7
6
4,24
0,07
0,1
39
@onlyprofitbot
11
7
12
4,23
0,07
0,1
40
@upboater
10
6
7
3,56
0,06
0,07
41
@minnowfairy
6
5
23
3,95
0,06
0,07
42
@steembloggers
7
4
21
4
0,06
0,06
43
@brandonfrye
8
5
5
3,01
0,05
0,05
44
@lovejuice
7
3
16
4,04
0,06
0,04
45
@nado.bot
4
3
19
3,86
0,06
0,04
46
@ebargains
3
3
17
4,27
0,07
0,04
47
@minnowhelper
20
9
2
1,29
0,02
0,04
48
@cheetah
41
25
0
0,41
0,01
0,04
49
@flagship
5
3
37
2,52
0,04
0,03
50
@flymehigh
4
3
29
2,47
0,04
0,03
51
@thundercurator
7
5
15
1,61
0,03
0,03
52
@alphaprime
6
6
10
0,83
0,01
0,02
53
@foxyd
4
4
9
1,12
0,02
0,02
54
@speedvoter
11
5
1
1,05
0,02
0,02
55
@singing.beauty
2
2
73
3,33
0,05
0,02
56
@dlivepromoter
5
4
22
1,23
0,02
0,02
57
@proffit
4
4
54
0,65
0,01
0,01
58
@dolphinbot
3
3
19
0,78
0,01
0,01
59
@redlambo
4
3
9
0,89
0,01
0,01
60
@treeplanter
5
3
6
1,26
0,02
0,01
61
@authors.league
11
6
9
0,33
0,01
0,01
62
@slimwhale
3
3
43
0,52
0,01
0,01
63
@upyou
3
3
12
0,67
0,01
0,01
64
@lightningbolt
5
3
40
1,44
0,02
0,01
Now you know all these heroes. Their daily work gives hope to some authors, and some even a decent income. Their work attracts new authors in Steemitt.
Information sources
All information is prepared by querying data from a SteemSQL - SQL database containing information from Steem's blockchain, as well as by calculations based on this data.

Special thanks to @arcange for SteemSQL and for the advice provided to me during the development of this project.