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Telegram profile photo for The Beekeeper 🐝

Channel

The Beekeeper 🐝

@mebeekeeper

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

199subscribers

+19 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002504916443
TypeChannel
Username@mebeekeeper
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live30 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/mebeekeeper

Growth

180199189.57 August 2026 — 180 subscribers8 August 2026 — 180 subscribers14 August 2026 — 188 subscribers23 August 2026 — 196 subscribers30 August 2026 — 199 subscribers7 August 202630 August 2026
5 measurements spanning 23 days, net +19. 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 177–202 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 10:34199+3
23 Aug 2026, 09:17196+8
14 Aug 2026, 20:46188+8
8 Aug 2026, 13:01180no change
7 Aug 2026, 16:54180first reading

Engagement

20 posts held, back to 19 February 2026the 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.

ERR · 30 days
134.2%
avg views ÷ 199 subscribers
Avg views / post
267
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 20 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 5 August 2026
Posts held20 (19 February 20265 August 2026)
Views total267
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 13:01 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
1m 56s
Average length
1m 56s

Measured directly from 1 video 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

64 reactions across 16 posts, in 6 distinct kinds. The most used accounts for 85.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥5585.9%
👍46.25%
👎23.13%
11.56%
❤‍🔥11.56%
🙈11.56%

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 16 of the 20 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 64reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 19 February 2026 to 5 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
1
across the posts below
Posts paid on
1
of 20 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mebeekeeper. 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 20 most recent posts we hold for this entry, published 19 February 2026 to 5 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

5 Aug 2026, 13:47 UTC267 viewsread 8 August 2026
Video

Сегодня сделал небольшой POC с блекджеком и LLM. Cisco выкатила Antares-350M - модель на 350 миллионов параметров, которая ходит по репозиторию shell-командами и ищет уязвимости. На бенчмарке обходит GPT-5 Mini. Звучит как то, что надо ставить немедленно. Читаю второе число: File F1 = 0.135. Каждый седьмой файл угадан. Остальные шесть модель выдумывает - и выдумывает с душой. На Python-проекте из двух файлов она мн

28 Jun 2026, 11:03 UTC930 views2 reactionsread 8 August 2026

Я перечитал, что в шутку писал про жизнь без LLM, и решил дать высказаться другой стороне. Бог всеведущ. Бога спрашивают про бумагу. Вот это и есть ад - не пламя, а техподдержка длиною в вечность. Часть 4. Критика чистого промпта https://blog.pytoshka.me/ru/post/critique-of-pure-prompt/

👎1🔥1

27 Jun 2026, 12:35 UTC753 views2 reactionsread 8 August 2026

Забавная оценка моих литературных эспериментов Вывод однозначен: литературная компонента цикла не только не содержит элементов плагиата, но и является основателем узкого, весьма специфического жанра "DevOps-киберпанка" или "Сисадминского экзистенциализма".

🔥2

7 Jun 2026, 19:24 UTC970 views5 reactionsread 8 August 2026

Немного новостей по GetPruf. Что получилось: - Полностью разделил РФ и международный контур. - Переработал ML-часть и неплохо её оптимизировал. - Собрал собственный prompt framework. - Ускорил backend и OCR. - Добавил защиту от доменов-однодневок, инъекций и прочих попыток договориться с системой не по правилам. - Получил грант от Yandex AI Studio(походу только Yandex Cloud в меня верит). - Подал несколько заявок в

🔥4👎1

24 Apr 2026, 13:21 UTC≈1,430 viewsread 8 August 2026
Video

Как это выглядит для пользователя

23 Apr 2026, 10:08 UTC≈1,360 views8 reactionsread 8 August 2026

История боли, тлена и HR-страданий. Очередное резюме, где из правды - только английский язык. Компаний не было, опыта не было, но зато "Senior Cloud Architect с 5+ лет". Лезешь в GitHub - там вообще стендап: https://github.com/DevInnovator10/polaris-pathway Коммит от 19 Feb 2020: https://github.com/DevInnovator10/polaris-pathway/commit/4a1c4044d4437fc5e8e998e35f1a6b4bd827fbcf И внезапно оказывается, что Python 3.

🔥8

9 Apr 2026, 20:30 UTC≈1,180 views4 reactionsread 8 August 2026

В общем сегодня прям много спама и флуда - видимо, весна влияет. Наткнулся на свежий paper: "Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-layer Heterogeneous Graphs" (arxiv.org/abs/2509.19677) Ребята из академии пришли к тому же выводу, к которому я пришёл методом "6 часов боли и один сломанный спиннер": LLM не может ловить LLM. Текстовые детекторы на структурированных карьерных

🔥4

9 Apr 2026, 12:58 UTC899 views4 reactionsread 8 August 2026

Вся жизнь под NDA, а мы в ней как лог-файл без доступа НАЗВАНИЕ ПОД NDA - AI-платформа детекции фрода в резюме 44% кандидатов врут в резюме. К 2028 году каждый четвёртый профиль будет фейковым (Gartner). Мы построили систему, которая ловит это автоматически. НАЗВАНИЕ ПОД NDA - enterprise-grade платформа проверки резюме на базе Dataiku DSS. Названа в честь скандинавского хранителя мудрости, который видит всю правду

🔥3👍1

9 Apr 2026, 06:46 UTC615 views2 reactionsread 8 August 2026

AI + Dataiku: история одного вечера Не секрет Полишинеля: к этой вашей ойтишечке я по образованию отношения не имею. Я скромный учитель физики и математики. И, как выяснилось, именно математика здесь - единственное, что работает. Решил ускорить разработку и подключил AI. Говорю: "Ознакомься с кодовой базой". Он ознакомился. Я - с новыми формами боли. 6 часов спустя: - 3 раза сломал себе логин - 5 раз убил с

🔥2

8 Apr 2026, 16:04 UTC478 views3 reactionsread 8 August 2026

Для любителей русской литературы документации - https://opennix.org/docs/wazuh/ - https://opennix.org/docs/pfsense/

🔥3

6 Apr 2026, 12:35 UTC485 views1 reactionsread 8 August 2026
Video

Dev версия ну как-то так

🔥1

6 Apr 2026, 11:51 UTC501 views6 reactionsread 8 August 2026

SecureBaseline Cloud v1.2.3 Безагентная платформа для автоматической настройки безопасности Linux-серверов. Подключение по SSH, без установки агентов на целевые хосты. Что внутри: - Compliance-сканирование: OpenSCAP, CIS Benchmarks Level 1/2, STIG и многие другие - Сканирование уязвимостей: CVE, FSTEC BDU с автосинхронизацией - Автоматический хардинг - AI-ассистент: YandexGPT, Azure OpenAI, OpenAI, Bedrock, Ver

🔥6

Showing the 12 most recent of 20 posts we hold for @mebeekeeper. 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.

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

“The Beekeeper 🐝” (@mebeekeeper), 199 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/mebeekeeper.

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.