Telegram RegisterThe public register of Telegram

Channel

ProHunter

@professionalhunter

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

8,197subscribers

-56 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001326000916
TypeChannel
Username@professionalhunter
Created28 October 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/professionalhunter

Growth

8,1978,2538,2256 August 2026 — 8,253 subscribers7 August 2026 — 8,235 subscribers10 August 2026 — 8,216 subscribers13 August 2026 — 8,197 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net -56. 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 8,189–8,261 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 06:358,197-19
10 Aug 2026, 00:298,216-19
7 Aug 2026, 02:508,235-18
6 Aug 2026, 08:198,253first reading

Engagement

22 posts held, back to 24 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 11 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
23.1%
avg views ÷ 8,197 subscribers
Avg views / post
1,890
22 posts measured
Reaction rate
1.04%
reactions ÷ views · ER floor
Posts in window
22
of 22 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 12 August 2026
Posts held22 (24 July 202612 August 2026)
Views total41,660
Reactions total435
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 16:39 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

Video runtime
33m 06s
Average length
16m 33s

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

418 reactions across 21 posts, in 10 distinct kinds. The most used accounts for 55.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍23155.3%
🔥6214.8%
😁5012.0%
245.74%
😐194.55%
🤨174.07%
👏61.44%
🤔40.957%
🤷‍♂30.718%
🤝20.478%

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 22 of the 22 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 435reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 24 July 2026 to 12 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.

Recent posts

12 Aug 2026, 04:01 UTC750 views25 reactionsread 12 August 2026
Photo

Был в «Артемиде», там наследники привезли забавные изделия :) Имхо, они прекрасны в своей кошмарности :) Цены, кстати, очень доступные (для столь боХатого декора) :))) #русскоеохотничьеоружие #странное ProHunter в Мах: https://max.ru/professionalhunter Чат для комментариев к постам в Мах: https://max.ru/join/TCcqEQgr5FBI8To9FQR9aRxPuy6dqe2VgSN6-dZINQQ

😁184👏3

11 Aug 2026, 04:05 UTC≈1,500 views19 reactionsread 12 August 2026
Photo

Создание патрона - достаточно длительный и итерационный процесс. Новый IGLA Rocket 116 отрабатывался точно также. На фото - финальные проверки предсерийной и первой серийной партии из винтовок IGLA Match 420 и Аркуда на 100, 200 и 300 метров. Все группы по 5 выстрелов. #igla #патрон #сделановроссии ProHunter в Мах: https://max.ru/professionalhunter Чат для комментариев к постам в Мах: https://max.ru/join/TCcqEQgr5F

👍19

10 Aug 2026, 04:01 UTC≈1,120 views8 reactionsread 12 August 2026
Photo

Очень интересный пост, взятый с очень интересного канала, посвященный трофейной охоте (скрины потому, что как показала практика - читатели ленятся ходить к первоисточнику). ИМХО, очень детальная аналитика. Я свое мнение высказал в комментах (оранжевые скрины). Скучающим по альтернативно одаренным - их там (в комментариях к оригинальному посту) тоже можно найти :) Что думаете? Похоже на Ваше восприятие трофейной ох

👍8

9 Aug 2026, 04:02 UTC≈1,130 views37 reactionsread 12 August 2026
Photo

Трофей охоты в Беларуси. О/х «Красный бор». #охота #беларусь #путешествие #олень #трофейнаяохота ProHunter в Мах: https://max.ru/professionalhunter

🔥31👍6

8 Aug 2026, 04:00 UTC≈1,510 views26 reactionsread 12 August 2026
Photo

Про современную охоту и минимальную энергию Как и обещал вчера – отдельный пост про энергию и прочее. Исходя из описанных ранее практических и логических ограничений большинство стран с развитой охотничьей культурой имеют достаточно четкие критерии по применяемости патрона, калибра и энергии снаряда. Практический аспект основан на безопасности (особенно если это охота на медведя или иное крупное/опасное животное), э

👍14😁5🤨43

7 Aug 2026, 04:04 UTC≈2,420 views59 reactionsread 12 August 2026
Photo

Про современную охоту и орудия добычи Тезисы, которые я опишу ниже, могут показаться спорными, но, скорее всего рано или поздно мы придем к таким сценариям. Ключевые вводные: 1) охота в современном мире достаточно активно снижает свою популярность. Не буду сейчас останавливаться на причинах, достаточно детально коснулся их в этом посте; 2) охота – это просто развлечение из сферы услуг; 3) единственная задача, стоящ

😐19👍17🤨12😁72🤷‍♂2

6 Aug 2026, 04:01 UTC≈1,790 views13 reactionsread 12 August 2026
Video

Винтовка IGLA - сборка и разборка. Небольшое видео с демонстрацией базовых элементов сборки и разборки винтовки IGLA. Все исполнения винтовок IGLA на сайте производителя: https://igla-patron.ru/catalog/oruzhie/igla-308win/ #igla #русскоеохотничьеоружие ProHunter в Мах: https://max.ru/professionalhunter

👍13

5 Aug 2026, 07:19 UTC≈2,370 views25 reactionsread 12 August 2026
Photo

В линейке патронов IGLA для нарезного оружия вышел новый патрон - пятый в семействе 308Win (до этого уже были выпущены три охотничьих: SP150, Shakal 160, Shakal 141 и один матчевый: Match 160). IGLA Rocket 116 - патрон для охоты с беспрецедентной среди отечественных патронов начальной скоростью экспансивной пули - более 1000 м/с (на фото - как раз результат выстрела этим патроном из винтовки Аркуда со стволом 28’).

🔥183😁3👏1

5 Aug 2026, 04:01 UTC≈1,510 views10 reactionsread 12 August 2026

#старыйпост пост про кринжовую таксидермию https://t.me/professionalhunter/4504 #странное #таксидермия #путешествие ProHunter в Мах: https://max.ru/professionalhunter

😁82

4 Aug 2026, 04:02 UTC≈3,670 views22 reactionsread 12 August 2026
Video

Тест винтовки IGLA Match cо стволом 600 мм. Матчевые и охотничьи патроны на 100 метров. Матчевые патроны: 01:43 Nosler Match 03:31 IGLA Match 04:47 Самокрут HPBT 150 гранов 06:21 Norma Diamond 07:57 Lapua Scenar 09:32 Самокрут MG HPBT 168 гранов Охотничьи патроны: 13:26 Самокрут ТК Коника 15:43 IGLA Shakal 141 17:52 IGLA Shakal 160 19:33 IGLA SP 150 21:28 IGLA Rocket Тест IGLA Match https://rutube.ru/video/da647dc

👍16🔥51

3 Aug 2026, 18:31 UTC≈1,800 views6 reactionsread 12 August 2026

#барыжное - очередная ревизия гильз, пуль, матриц, колец и прочего. Кому что нужно - пишите в личку. Весь перечень тут: https://dzen.ru/a/YlVO7JQ47CXgs14Q?share_to=link

👍6

3 Aug 2026, 04:00 UTC≈1,650 views29 reactionsread 12 August 2026
Photo

Финализируя тему картечи: https://t.me/professionalhunter/9837 хотел бы прояснить несколько моментов. Как известно моим читателям, я много лет последовательно выступаю против использования картечи на охоте (особенно по копытным). Причиной тому является непредсказуемая кучность "обычной" сборки (а следовательно, нельзя предсказать, сколько картечин и куда попадет, что в итоге приводит к подранкам). Отсылки к тому,

👍21🔥5🤔21

Showing the 12 most recent of 22 posts we hold for @professionalhunter. 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

Citation-graph rank — 115,161 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 3 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.

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.

“ProHunter” (@professionalhunter), 8,197 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/professionalhunter.

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.