Telegram RegisterThe public register of Telegram

Channel

Даша Зарыковская | бизнес

@dolegovna

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cross-platform identity · Cite this entry

12,361subscribers

-50 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001324132093
TypeChannel
Username@dolegovna
Description№7384846776 Бизнес, мемы, свидания, путешествия. Founder at http://mamcupy.com | Co-Founder & CEO at http://over-hood.com Консультации и реклама @strana_prikolov
Created4 September 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/dolegovna

Growth

12,36112,41112,3866 August 2026 — 12,411 subscribers6 August 2026 — 12,408 subscribers7 August 2026 — 12,396 subscribers8 August 2026 — 12,391 subscribers9 August 2026 — 12,385 subscribers11 August 2026 — 12,384 subscribers12 August 2026 — 12,379 subscribers13 August 2026 — 12,364 subscribers14 August 2026 — 12,361 subscribers6 August 202614 August 2026
9 measurements spanning 9 days, net -50. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 12,354–12,419 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 16:5712,361-3
13 Aug 2026, 05:3412,364-15
12 Aug 2026, 03:0312,379-5
11 Aug 2026, 00:0712,384-1
9 Aug 2026, 21:5212,385-6
8 Aug 2026, 23:0412,391-5
7 Aug 2026, 22:3812,396-12
6 Aug 2026, 23:0312,408-3
6 Aug 2026, 03:0612,411first reading

Engagement

40 posts held, back to 31 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
35.2%
avg views ÷ 12,361 subscribers
Avg views / post
4,360
40 posts measured
Reaction rate
4.06%
reactions ÷ views · ER floor
Posts in window
40
of 40 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 14 August 2026
Posts held40 (31 July 202614 August 2026)
Views total174,270
Reactions total7,068
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 00:49 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
8,350
Videos
861
Links
1,480

Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
11s
Average length
6s

Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

6,645 reactions across 38 posts, in 20 distinct kinds. The most used accounts for 38.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2,52638.0%
😁1,11416.8%
🔥89413.5%
💯4186.29%
🤣2694.05%
😢2283.43%
😱2153.24%
❤‍🔥2043.07%
🤡1922.89%
🥰1121.69%
🤩1011.52%
👍751.13%
👏691.04%
🤯671.01%
🤔540.813%
🤝410.617%
🕊260.391%
🌚230.346%
🥴130.196%
🎉40.06%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 40 of the 40 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 7,068reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 40 most recent posts we hold, published 31 July 2026 to 14 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
9
across the posts below
Posts paid on
7
of 40 we hold a reading for · 18%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dolegovna. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 40 most recent posts we hold for this entry, published 31 July 2026 to 14 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

14 Aug 2026, 16:49 UTC≈2,210 views76 reactionsread 15 August 2026

Сходила я на Одиссею, в лоб ему надо дать промеж глаз да и все тут. Ишь!

44😁22💯9🔥1

14 Aug 2026, 13:16 UTC≈2,840 views85 reactionsread 15 August 2026
Photo

🍋🍋🍋🍋🍋🍋🍋🍋 Я обожаю состояние когда новая идея подхватывает тебя и просто несет вперед, весь мир начинает тебе подыгрывать и подогревать твою уверенность, и это самое клевое состояние в начале любого дела, вот этот легкий предпринимательский психоз, хочется всего и сразу, поджечь луну, купить океан и завоевать весь рынок Очень обидно тратить этот запал не на продукт, клиентов и продажи, а на госпошлины, документы, по

🔥3618🤡18😁6🤣3🥴3🕊1

14 Aug 2026, 12:01 UTC≈3,040 views145 reactionsread 15 August 2026

Я вчера узнала о распространенном способе мошенничества, оказывается что в жизни почти со всеми задачами ничего не работает и не происходит с первого раза за короткий срок, особенно если ждешь экстра результатов они почему-то никогда не происходят через динамичную веселую нарезку как в фильмах. Wtf вообще

😢95💯338😁8🌚1

14 Aug 2026, 07:24 UTC≈3,500 views69 reactionsread 15 August 2026

Я вообще подумала о стратегии масштабирования на следующий год через скупку небольших агентств с клиентской базой, или просто базу без агенств, возможно с привлечением инвестиций под эту сделку

🔥4417🤣6👍2

14 Aug 2026, 06:04 UTC≈3,800 views108 reactionsread 15 August 2026

Мы в мамкупи себе нагенерили перелидоз, сеилзы не успевают нормально работать, только ходят по звонкам с новыми клиентами. Решили чутка скрутить вентель аутрича чтобы качественно проработать все запросы

🔥7414👏14😢3🤣2👍1

13 Aug 2026, 17:25 UTC≈4,270 views290 reactions1 Starread 15 August 2026
Photo

Я обладательница глаз

194❤‍🔥44🥰22💯8😁8🌚5🔥5🤡3

13 Aug 2026, 12:26 UTC≈4,340 views105 reactionsread 15 August 2026

Продала вчера 8 консультаций из 15, которые планирую провести в августе Мне очень нравятся консультации, я думаю бизнес он вообще про синергию, взаимопомощь, очень сложно создавать успешные проекты в вакууме, без второго взгляда, чьих-то советов и подсказок Если бы я понимала ценность консультаций в свое время и где их взять я бы намного больше заработала, потеряла бы намного меньше и квартир у меня бы было пять, а

71🤩16🤡11🔥5👍1👏1

13 Aug 2026, 09:55 UTC≈4,210 views117 reactionsread 15 August 2026
Photo

В духах я больше всего люблю когда на них делают комплименты, честно признаюсь Вчера зашла в ЦУМ перенюхать «Сады Венеции» от итальянского парфюмерного дома Rubeus Milano и в итоге выбрала для себя Calicanto. Он пахнет для меня очень конкретным моментом, когда ты идёшь вечером по улице, болтаешь с человеком рядом, и вдруг откуда-то накрывает запахом цветущего дерева. Настолько сильным и красивым, что вы оба одновр

101🤩10🥰5❤‍🔥1

12 Aug 2026, 13:34 UTC≈4,220 views63 reactionsread 15 August 2026

Коллеги, продаю 15 бизнес консультаций в августе по 15 тысяч рублей Звонок длится час, обсуждаем интересующие вас бизнес вопросы - построение отдела продаж - маркетинг - бизнес заграницей - найм и онбординг - мотивация и тупики - брейншторм - челлендж бизнес идей - нетворк - нейросети Записываемся на консультацим тут @strana_prikolov Я более 10 лет руковожу бизнесом, у меня повторяемый успех, строю исключительно

52👏5🔥5👍1

12 Aug 2026, 11:48 UTC≈4,280 views117 reactionsread 15 August 2026
Photo

Зай ты ж уехала какая вечеринка

😁109🤣71

12 Aug 2026, 10:49 UTC≈4,160 views162 reactionsread 15 August 2026
Photo

Кстати Ноготочечная это авторское слово которое Алена выдумала и запатентовала как торговый знак, развлекается как может Ногти накрасили очень хорошо, я была на Марьиной Роще, а вообще Ноготочечных три штуки в городе

106❤‍🔥47🔥6👏2👍1

12 Aug 2026, 09:11 UTC≈4,290 views224 reactionsread 15 August 2026
Photo

Я вчера крайне неудачно сходила на маникюр, спросила мастера как нам закончить побыстрее и не лучше ли нам для этого использовать просто цветную базу которая на моей памяти всегда была самым быстрым вариантом. Мастер заверила что черным будет быстрее, за что и поплатилась. Люблю Московский сервис потому что мне достаточно было спокойно администратору сказать «посмотрите пожалуйста маникюр» чтобы меня отпустили без оп

😱14645🤡20🤯10💯1🥰1😢1

Showing the 12 most recent of 40 posts we hold for @dolegovna. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 93,815 of 1,345,403entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q115269987 on Wikidata, read 9 August 2026
LabelDarya Zarykovskaya
X / Twitter@Daria_Olegovna
YouTubeUCllsfVQCBiKLgbKXOplb38Q

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 14 August 2026 — this entry's latest reading, not the date you are reading this.

“Даша Зарыковская | бизнес” (@dolegovna), 12,361 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/dolegovna.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.