Accounts

Rank by what the profile claims or by what we measured. The two disagree by orders of magnitude, which is the whole reason both are here. Pick a topic to rescope every measured column to that niche. Defaults to the MD roster: accounts with a poll_state row, which is what distinguishes a roster member from a discovered candidate.

Parked adjacent

2,714

3.2% · resolved non-MD, never polled

followers total likes posts

avg plays engagement plays / follower

MD roster all discovered

367ms

Ranking 11,502 accounts with ≥5 captured posts and min followers ≥ 1,000. Without that floor the board fills with accounts whose denominator is too small to divide by: a 305-follower account showed 115% engagement. show everything

Filtering the full discovered table, not the roster. The two are not intersected, because roster already means country=MD and combining them would return an empty table for any other country. The polled column shows which of these are actually on a schedule.

#	Account	Country	Tier	Top topic	Followers	Total likes	Avg plays	Eng.	×fol	Captured
1	@wsxxsww13I_G.777	MD	C	—	2,029	511,655	753,998	13.5%	372×	5
2	@vasilii1__4Василий	MD	C	other 100%	1,936	252,326	497,756	8.4%	257×	6
3	@carsmd1☆	MD	C	—	2,028	127,508	476,939	0.2%	235×	33
4	@tapok826eklmn	MD	dormant	—	1,029	32,609	235,378	2.0%	229×	7
5	@nelu_013Botan ion	MD	dormant	—	1,321	29,993	270,720	1.0%	205×	11
6	@dima.grossuDimasik	MD	dormant	—	1,059	123,041	151,323	10.4%	143×	7
7	@pit_realitateaPIT	MD	dormant	—	1,495	23,171	157,894	1.6%	106×	9
8	@valodea_canamvladik_🍀	MD	C	other 67%	1,486	115,430	143,193	6.7%	96×	12
9	@limoooon4kkkk𝐋𝐈𝐌𝐎𝐍𝟕𝐊	MD	C	culture_history 100%	3,751	245,320	336,274	9.3%	90×	5
10	@snikfanD.R.A.G.O.S✨	MD	C	—	1,071	153,830	88,408	10.9%	83×	16
11	@robert_the_barberTrofim Robert	MD	C	—	1,980	234,555	145,882	6.0%	74×	27
12	@alexandrcasianAlexandr	MD	C	other 100%	1,083	13,970	78,179	1.5%	72×	12
13	@vitiaeanciuvitiacavasaci	MD	B	culture_history 50%	1,667	591,420	119,461	15.5%	72×	31
14	@nextframe.mdNext Frame \| Sergiu	MD	C	—	2,384	54,214	170,801	3.5%	72×	9
15	@kuwait.muw🌑	MD	B	other 100%	1,170	95,810	78,811	5.6%	67×	21
16	@nicolaiorbuOrbu Nicolai	MD	C	lifestyle_motivation 50%	1,535	22,028	102,480	0.4%	67×	31
17	@addtooooКристина 🇲🇩	MD	C	beauty_fashion 25%	1,461	266,691	96,917	7.8%	66×	31
18	@darv1xbsdarv1xbs	MD	dormant	music_dance 100%	1,378	47,625	87,225	1.8%	63×	30
19	@autoseller.chisinauAUTOSELER CHISINAU 🛞	MD	C	—	10,582	1,010,116	647,162	4.5%	61×	32
20	@apa.drochiaAPA	MD	C	—	1,156	9,935	70,210	1.6%	61×	9
21	@olga_orasanca_tarancaViata Din Sat	MD	B	—	3,848	510,529	231,327	6.6%	60×	32
22	@aiyriha.zw💎saby💎	MD	dormant	—	2,666	35,576	154,069	4.4%	58×	5
23	@beerbro.1BeerBro	MD	B	other 100%	1,911	96,958	106,581	2.8%	56×	31
24	@qwwwwxwwC	MD	dormant	—	1,473	22,872	82,108	3.5%	56×	8
25	@cristina.anghelutaCristina	MD	C	—	1,000	45,973	54,887	1.5%	55×	31
26	@milkacat2023milkacat2023	MD	C	—	2,085	60,269	113,014	1.6%	54×	32
27	@xanpmrV XANAX V	MD	dormant	—	1,268	11,115	68,056	2.7%	54×	6
28	@pubg.wolf.01WOLF GAMING	MD	B	culture_history 67%	2,010	233,294	107,297	7.0%	53×	31
29	@zeuss88880Zeuss888888	MD	B	other 100%	7,275	572,091	388,239	13.4%	53×	11
30	@movileanu.sergheiSergiu Movileanu \| ICEBREAKER	MD	B	health_wellness 67%	1,102	62,083	58,717	2.9%	53×	33
31	@krasav4k13Adrian Ungureanu	MD	C	—	6,516	1,821,625	346,262	15.9%	53×	33
32	@_danu.99_danu.99	MD	C	—	1,918	131,155	99,387	4.3%	52×	6
33	@toleantoleani4TT	MD	C	lifestyle_motivation 33%	1,876	187,863	97,117	5.7%	52×	33
34	@santa_christinaСанта-Кристина Бурдужа	MD	dormant	—	1,063	66,232	54,343	3.6%	51×	31
35	@sanche804🥷🏻	MD	C	gaming 100%	2,249	17,183	112,759	1.4%	50×	11
36	@bvtc.vbvtc.v	MD	C	—	4,797	226,839	235,127	17.1%	49×	5
37	@y0ur_g0d_xdfxl tabletka💊	MD	C	humor_memes 100%	2,751	258,972	133,628	8.7%	49×	22
38	@trafic99Trafic	MD	C	—	2,069	171,075	95,153	5.3%	46×	30
39	@alexandru.cechinaAlexandru Cechina	MD	dormant	—	1,162	8,994	53,008	2.4%	46×	7
40	@gicu.xogicu.xo	MD	B	—	1,218	82,055	55,497	6.3%	46×	23
41	@petea_661petea	MD	dormant	—	1,910	48,450	86,868	2.1%	45×	26
42	@casiannicolae98Casian Nicolae	MD	B	—	1,118	237,693	50,601	2.0%	45×	32
43	@anisoara.loghin3Anisoara Loghin	MD	C	—	1,357	7,167	58,929	2.0%	43×	6
44	@intelcorre7Sane3x²y	MD	C	—	9,044	192,258	391,177	8.2%	43×	6
45	@temcik.1Zzz_Tema	MD	B	culture_history 100%	3,833	772,195	164,209	14.7%	43×	32
46	@cucosdamianDamian 🎶	MD	dormant	—	1,240	32,559	53,022	7.7%	43×	8
47	@nicolaioprea222nicolaioprea222	MD	C	—	1,039	7,633	43,962	1.3%	42×	13
48	@ilona.volk5Ilona Volk	MD	B	economy_business 50%	1,340	65,760	55,975	2.8%	42×	33
49	@to4ka.fishing.clubTo4ka Fishing Club	MD	B	other 100%	1,369	46,165	56,798	2.3%	41×	33
50	@tiflis.restaurant.mdTIFLIS RESTAURANT	MD	B	—	1,588	60,286	65,614	2.4%	41×	30

Followers are the claim; plays are the evidence. A follower count is cumulative and never decays, so it records who an account once was. @garik.ugarik holds 6,567,817 followers and averages 29,025 plays a post, 0.004 per follower, while @autoseller.chisinau holds 10,582 and averages 647,161. Sorting by followers puts the first two hundred places above the second. The ×fol column is that ratio; anything above 1× is reaching past its own following.

Capturedis how many of the account’s posts we actually hold, and every measured column is an average over exactly those posts. It is usually far below the profile’s own post count because one poll returns one page of at most 30. Lookback depth is inversely proportional to posting rate rather than a measure of the account.