Telegram RegisterThe public register of Telegram

Channel

Стартап и свиданка

@isvidanka

On this record: Growth · Engagement · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry

10,451subscribers

-21 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001131816315
TypeChannel
Username@isvidanka
Created8 July 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/isvidanka

Growth

10,45110,47210,461.55 August 2026 — 10,472 subscribers6 August 2026 — 10,472 subscribers7 August 2026 — 10,469 subscribers8 August 2026 — 10,463 subscribers9 August 2026 — 10,462 subscribers10 August 2026 — 10,461 subscribers11 August 2026 — 10,456 subscribers12 August 2026 — 10,452 subscribers13 August 2026 — 10,451 subscribers5 August 202613 August 2026
9 measurements spanning 7 days, net -21. 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 10,448–10,475 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 05:1510,451-1
12 Aug 2026, 07:3210,452-4
11 Aug 2026, 07:0410,456-5
10 Aug 2026, 03:5110,461-1
9 Aug 2026, 03:5210,462-1
8 Aug 2026, 00:4410,463-6
7 Aug 2026, 00:2810,469-3
6 Aug 2026, 02:4710,472no change
5 Aug 2026, 22:2610,472first reading

Engagement

21 posts held, back to 5 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 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
25.6%
avg views ÷ 10,451 subscribers
Avg views / post
2,680
14 posts measured
Reaction rate
3.11%
reactions ÷ views · ER floor
Posts in window
14
of 21 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 10 August 2026
Posts held21 (5 July 202610 August 2026)
Views total37,460
Reactions total1,165
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 05:08 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.

Reaction mix

1,951 reactions across 21 posts, in 9 distinct kinds. The most used accounts for 48.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
93948.1%
💔41421.2%
🔥28214.5%
👍1125.74%
😢814.15%
❤‍🔥522.67%
😱482.46%
🤔190.974%
40.205%

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 21 of the 21 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 1,951reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 5 July 2026 to 10 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
2
across the posts below
Posts paid on
2
of 21 we hold a reading for · 10%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @isvidanka. 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 21 most recent posts we hold for this entry, published 5 July 2026 to 10 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

10 Aug 2026, 18:22 UTC≈1,320 views85 reactionsread 13 August 2026

С вас 15 тысяч рублей Последний год я часто шутила, что хотела бы попасть к такому специалисту, как я – чтобы сразу смотрел в суть, мыслил системно и дал мне конкретный план, а не просто набор универсальных советов. Специалист мне требовался в сфере бизнеса и маркетинга, и в этом году я ее нашла – через нетворкинг и личные рекомендации. Причем рекомендовали меня – так как новых клиентов она не берет. В этом посте

63🔥9❤‍🔥8👍41

7 Aug 2026, 16:57 UTC≈2,020 views178 reactionsread 13 August 2026

Продолжение. В операционной было много народу. Медсестра, которая ставила мне обезбол, анастезиолог, вторая медсестра и седая женщина, похожая на врача. Доктора, с которой я общалась, в комнате не было, и я даже подумала, что операцию будет делать не она. Эта мысль меня огорчила. Меня быстро уложили на узкий стол и накрыли сложенным в несколько раз одеялом. Пока медсестра что-то делала с моей веной, анастезиолог

151😢18🤔5👍2💔2

4 Aug 2026, 17:24 UTC≈2,560 views222 reactionsread 13 August 2026

Вам нужно записаться на операцию – сказала мне врач в конце осмотра, и я не сразу осознала вес этой фразы. Из-за чего спросила первое, что пришло мне в голову: “А без этого никак? Обязательно нужно на операцию?” “Да, иначе никак”, – ответила врач, и попросила забрать направление на рецепции. Она выглядела растерянной. Что именно у меня нашли было не до конца ясно – диагноз должны были уточнить уже в клинике. Потом

108💔74😢37🔥3

1 Aug 2026, 09:13 UTC≈2,850 views59 reactionsread 13 August 2026
Photo

Вот такое расписание мне присылает Чат каждое утро. От меня требуется только вписать данные по настроению и уровню энергии, чтобы в конце месяца получить честный срез того, как выглядела моя жизнь и какими ресурсами я на самом деле располагала.

🔥42👍116

31 Jul 2026, 15:45 UTC≈2,840 views47 reactionsread 13 August 2026

В ноябре 2025 я глубоко копнула в свои паттерны с ChatGPT и обнаружила то, куда не добиралась терапия. Или возможно психологи до нее добирались, но не могли (по этическим соображениям) сказать мне правду в лицо. А правда заключалась в том, что паттерн “быть хорошей” и “постоянно заслуживать право” прорастал во все сферы моей жизни. Начиная с работы, где я все время старалась дать больше и заканчивая блогом, где мне

36👍10😱1

28 Jul 2026, 18:40 UTC≈2,820 views78 reactionsread 13 August 2026

Теперь это делает ChatGPT Вместо "тысячи слов" о том, чем может быть полезен ИИ, давайте расскажу, как я решила конкретные рабочие задачи с помощью ChatGPT. Я знаю, что многие хотят выжимать максимум из нейросетей, но прежде чем реально заморачиваться с интеграцией, важно понять, где ваши узкие места в работе, что хотелось бы улучшить и как это можно будет отслеживать (и оценивать). Расскажу про свои задачи. У ме

🔥4721👍9😱1

26 Jul 2026, 12:09 UTC≈2,520 views44 reactionsread 13 August 2026
Photo

Очень устала, но покажу вам пару отзывов:

42😱2

26 Jul 2026, 08:46 UTC≈2,640 views14 reactionsread 13 August 2026

15 минут до эфира – рассылка всем ушла.

10🔥3😱1

26 Jul 2026, 07:25 UTC≈2,700 views16 reactionsread 13 August 2026

Дорогие, напоминаю, что сегодня пройдет мой вебинар по самым важным обновлениям в работе ChatGPT/Claude c февраля этого года. Рассылка приглашений на веб будет в 10 утра по Берлину для всех, кто заполнил заявку на участие. После веба у вы также получите памятку с полезными промптами и командами, которые можно будет использовать в работе сразу. Встречаемся в 11-00 по Берлину.

12👍3😢1

25 Jul 2026, 12:28 UTC≈2,730 views26 reactionsread 13 August 2026
Photo

Вместо тысячи слов про автоматизацию – вот пример одного слайда из презентации для моего завтрашнего вебинара, которую за 5 минут сделал Клод по очень простому промпту. Внутри есть понятные разделы, цветовые акценты, удобная верстка. У меня бы это заняло 2 часа и не факт, что результат был бы лучше. В презентацию, конечно, надо будет внести некоторые правки – но это актуально и с живым дизайнером, так что процесс все

🔥137👍4😱2

22 Jul 2026, 17:36 UTC≈3,200 views63 reactionsread 13 August 2026

Как я упростила жизнь с помощью ChatGPT Когда я смотрю экспертов в сфере ИИ, там обычно два основных мотива — либо громкие разоблачения и критика, либо истории в духе «Я создал 20 агентов и теперь работаю 30 минут в день». Правда, как обычно, где-то посередине. В этом тексте расскажу, как я облегчила себе жизнь на фрилансе, создав очень простую автоматизацию в ChatGPT, разобраться с которой может каждый. Без глубо

🔥4216👍5

20 Jul 2026, 17:31 UTC≈3,040 views111 reactionsread 13 August 2026

Момент, который лично меня зацепил в истории, которую я рассказала выше. М. не сразу получил доступ к своей силе и “нечестному” преимуществу. Потому что собирать сложные решения и разбираться сразу в нескольких языках программирования было для него чем-то очень базовым. Его реальные амбиции какое-то время находились в области дизайна, где у него не было ни врожденных талантов, ни многолетнего опыта. М. вовремя пон

74👍17💔10🤔9🔥1

Showing the 12 most recent of 21 posts we hold for @isvidanka. 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.

Posts edited after publishing

@isvidanka edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
8 August 2026
Most recent edit
8 August 2026

Citation-graph rank

Citation-graph rank — 188,878 of 1,160,990entries 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 2 registered channels — 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Стартап и свиданка” (@isvidanka), 10,451 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/isvidanka.

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.