Channel
@leshamodels
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
15subscribers
+0 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002492304231 |
|---|---|
| Type | Channel |
| Username | @leshamodels |
| Description | Авторские миниатюры для варгеймов и не только. Для вопросов: @alex_sazh Ссылки на ассортимент - в закрепленном посте. |
| Created | Between 1 October 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/leshamodels |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 23:16 | 15 | no change |
| 11 Aug 2026, 04:15 | 15 | first reading |
8 posts held, back to 20 October 2025 — 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 8 posts for this entry, the most recent from 18 June 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 11 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
15 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 40.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🫡 | 6 | 40.0% | |
| ❤ | 5 | 33.3% | |
| 🔥 | 4 | 26.7% |
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 5 of the 8 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 15reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 20 October 2025 to 18 June 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.
Подкаст ГВ про орков из стартера так порадовал, что перевел его: youtu.be/jm94ifZ3Z6o Пара слов про гостей. 1) Себ Пербет. Был главным скульптором 40к-орков периода "Блэкрича". То есть Батя вернулся, чтоб навести порядок, и снова задать направление на десятилетия. 2) Мэтт Холланд - работал над орками 2010-х: Флэшгитцами, Mek Gunz, "новыми багги" и прочим. Как раз с ним был прошлый переведенный мной подкаст (картин…
🔥1
Повеселились и хватит, проекту пора баиньки. Ничего страшного: не сжигается, просто убирается в чулан - если однажды вновь потянет делать миньки, то вытащу и отряхну. Плюс рано или поздно дойдут руки выставить stl-файлы релизов с цифровым скульптом. А в Артели напоследок выйдет Мек-Нукер (чтоб зациклить историю). Короче, какие-то посты еще будут. Спасибо покупателям: именно ваше "не словом а делом" показывает, что …
❤5🫡3
Инфа для тех, кто хотел, но не успел купить литого Гримскулла: смотрю, что на Покрастинацию "Артель" наскребла сколько-то копий
Всем привет! В конце апреля будет очередная годовщина "Миниатюр по-приколу". После чего проект наконец уйдет на давно ожидаемый покой, а товары сниму с продажи. В честь этого по-царски проставляюсь: - скидка 40% на оставшееся в "Товарах" группы vk - праздник старожилам: решился продать кучу прошлых наборов из личных запасов ("бэкап-копии" для литья и форсмажоров, некоторые мастер-модели, копии от фотографа и тд): h…
🫡3
Чтоб закрыть "год Гримскулла", выложил файлы для печати: boosty.to/leshamodels
Появились результаты Miniature Painting Open, международного онлайн конкурса покраса, который проводят ребята с ютуб-канала Cult of Paint. Я без особых надежд заливал фотки, да и в мастера лезть не осмелился (да, я пуся). Закинул в стандарт и совершенно забыл о конкурсе. И тут внезапно мне пишут, мол, дядь, ты золото забрал. Полез смотреть сам. В итоге - бронза в одиночных миниатюрах со старым мезгайковским мегабоссо…
🔥3
После релиза артелевского Гримскулла, несколько человек спрашивали - а не осталось ли прошлой более "игровой" 28мм версии? Если что, Глеб готов продать эту свою копию. Со всеми вопросами - к нему: t.me/kpackopult
Из рабочих переписок:
Showing the 8 most recent of 8 posts we hold for @leshamodels. 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.
Citation-graph rank — 859,700 of 1,169,250entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“Лёшины Модели” (@leshamodels), 15 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/leshamodels.
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.