Channel
@gvozdideru
On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry
685subscribers
-2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001865631060 |
|---|---|
| Type | Channel |
| Username | @gvozdideru |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/gvozdideru |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 09:28 | 685 | -2 |
| 6 Aug 2026, 16:38 | 687 | no change |
| 6 Aug 2026, 16:04 | 687 | first reading |
10 posts held, back to 19 January 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 10 posts for this entry, the most recent from 14 July 2026. An engagement rate over an empty window would be a number about nothing.
684 reactions across 10 posts, in 8 distinct kinds. The most used accounts for 40.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 280 | 40.9% | |
| 🍓 | 193 | 28.2% | |
| custom 5328040933667645929 | 81 | 11.8% | |
| 🤯 | 49 | 7.16% | |
| 🙏 | 30 | 4.39% | |
| ❤🔥 | 25 | 3.65% | |
| 💋 | 21 | 3.07% | |
| 🕊 | 5 | 0.731% |
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
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 10 of the 10 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 684reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 19 January 2026 to 14 July 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @gvozdideru. 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 10 most recent posts we hold for this entry, published 19 January 2026 to 14 July 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.
Сегодня портфолиодей (очередной), но я не буду в нем участвовать. Мне стыдно, потому что у меня в последнее время почти нет новых работ. Кароче, я хотела сказать, что во-первых, я на море и у меня отпуск после ебаной сессии с 6 экзаменами, так что обнов пока тоже нет. Во-вторых, я уже скоро домой, поэтому рисунки будут. А в-третьих, я участвую еще в одном зине, ждите анонс.😈 В общем как-то так, рибята.
❤31🍓3
tim wright/ masky Посмотрела мраморных шершней, мне оч понравилось. Кста, важное объявление!!! У меня сессия!!! Поэтому никаких обнов нет. Эту картинку я нарисовала чисто потому что один день более-менее свободный выдался. До июля больше ничего не будет, наверное. #marblehornets #timwright #masky
🙏30🍓11❤🔥6❤3🕊1
Это как раз тот зин, к которому я кидала спойлеры, если чо.
❤12🍓6
ᅠ ᅠ ᅠ ᅠ ᅠ 🌟🌟🌟🌟 🌟Наконец... пришло время поднять занавес! Встречайте главную звезду самой захватывающей, невероятной, интригующей, заставляющей трепетать сердца постановки – Шэдоу Милк Куки! Аплодисменты, аплодисменты! Не сводите глаз ни на секунду, не думайте ни о чем другом, кроме как о грандиозном, единственном в своем роде спектакле Театра Лжи! ᅠ ᅠ [ПРЕДЗАКАЗЫ ОТКРЫТЫ + РОЗЫГРЫШ] Вас ожидают: 🌟Зин в твердом переп…
❤7🍓2
Рибята, держите еще один спойлер. #smczine_wip
🍓65❤11❤🔥8🕊4
Ихихи, спойлер картинки в зин. #smczine_wip
❤54🍓22🤯9❤🔥5
Еб тваю мать, у меня день рождения.
🤯40💋11🍓8❤5
Всем пиветик!!!! Если что, это все еще я, гвоздодер, не пугайтесь. Я хочу поделиться своим первым ээ... ООАКом??? В общем, я взяла за основу башку Рошель из монстр хай, перепрошила ей волосы, заказала ей тело и полностью его покрасила. Одежда просто рандомная, я пока не знаю, во что ее одену в итоге. Если вам интересно, то я могу постить сюда не только рисунки, но и мои ооаки. Я еще только начинаю, но хочу всерьез э…
custom 532804093366764592953❤23🍓22💋4❤🔥2
Рибятки, мы с Асей устроили коллаб и случайно создали новый пейринг по воллейболу.
❤59🍓17💋4
Ловите новую картиночку. Если чо, это мой персонаж, не из каких-то фд (прикиньте, я такое рисую). Захотелось чего-то религиозного, поэтому вот.
❤75🍓37custom 532804093366764592928❤🔥4💋2
Showing the 10 most recent of 10 posts we hold for @gvozdideru. 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 — 709,043 of 1,480,944entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 13 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.
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.
“GVOZDODER” (@gvozdideru), 685 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/gvozdideru.
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.