4 measurements spanning 7 days, net +2. 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 2,132–2,135 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 08:34
2,135
+3
7 Aug 2026, 00:08
2,132
-1
6 Aug 2026, 06:16
2,133
no change
6 Aug 2026, 03:47
2,133
first reading
Engagement
16 posts held, back to 8 July 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
21.2%
avg views ÷ 2,135 subscribers
Avg views / post
453
11 posts measured
Reaction rate
2.71%
reactions ÷ views · ER floor
Posts in window
11
of 16 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
Window
Rolling 30 days · latest post in window 6 August 2026
Posts held
16 (8 July 2026 – 6 August 2026)
Views total
4,982
Reactions total
135
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 16:56 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
188 reactions across 15 posts, in 10 distinct kinds. The most used accounts for 30.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
58
30.9%
🔥
36
19.1%
👍
30
16.0%
⚡
22
11.7%
👨💻
16
8.51%
🤯
9
4.79%
custom 5215366843228768879
8
4.26%
🆒
5
2.66%
🗿
3
1.60%
👎
1
0.532%
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 16 of the 16 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 200reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 8 July 2026 to 6 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.
Что такое HAWK? Рассказывают коллеги из нашей лаборатории криптографии.
➡️ HAWK — это постквантовая схема электронной подписи на решётках, представленная международной группой криптографов на конференции ASIACRYPT в 2022 году. С тех пор HAWK участвовал в дополнительном конкурсе электронных подписей NIST. В мае 2026 года в третий раунд прошли девять схем, и HAWK оказался единственной решёточной среди них.
Главные пр…
Новая экскурсия с криптографами «Криптонита»!
❗️15 августа в 16:00 в Музее криптографии пройдёт третья экскурсия — её вновь проведёт Иван Чижов, наш заместитель руководителя лаборатории криптографии по научной работе.
Иван поможет разобраться в незнакомых терминах: например, расскажет про шифр ВИК. Кое-что про него вы можете узнать уже сейчас из карточек⬆️
📌Следить за расписанием экскурсий можно по ссылке!
Канал …
Удивительный советский шифр
Сегодня в карточках разбираем историю одного из советских шифров, получившего название ВИК. Американский историк криптографии Дэвид Кан называл его одним из лучших и наиболее совершенных мнемонических [что означало, что весь алгоритм можно было выучить наизусть] шифров из когда-либо обнародованных.
💚15 августа в 16:00 на экскурсии с криптографом Иваном Чижовым из компании «Криптонит» про…
Встречаем самый «отпускной» месяц лета! 🤍
Пусть наши августовские обои на телефон добавят вам солнечного настроения! #обои
❤️— ещё целый месяц лета!
🤯— как, уже август?
А у нас сегодня задачка со звёздочкой — кто её решит, смело может ставить себе 5+!😀
➡️Алиса позвонила из пригорода Бобу со смартфона и продиктовала ему пароль от своего счёта, чтобы Боб оплатил с него текущие расходы. Через пару минут Алиса увидела, что все деньги со счёта пропали. Ещё через минуту перезвонил Боб и сказал, что пароль не подходит.
Ситуацию стал разбирать Трент. Он установил, что Боб непричастен, а н…
Продолжаем разбирать популярные у мошенников схемы кражи денег и личных данных💙
👆В этом посте наш руководитель отдела ИБ разберёт кейс эксплуатации эмпатии и патриотизма. #ИБ_советы
🟦Всё начинается с сообщения во взломанном аккаунте вашего знакомого. Вы видите не спам с незнакомого номера, а трагичную новость от друга.
Шок и чувство гражданского долга мгновенно отключают критическое мышление, ведь вас просят не о …
Что такое GeoRA? Рассказывают наши коллеги из лаборатории искусственного интеллекта🤍#нейрословарь
🧠В этом году группа китайских исследователей представила новый подход для эффективной настройки больших языковых моделей (LLM) в режиме обучения с подкреплением и проверяемыми наградами (RLVR).
Авторы показывают, что обычные методы параметрической тонкой настройки (PEFT), включая низкоранговую адаптацию (LoRA), не всег…
Две вакансии для тех, кто знаком с платформой 1С! 💙
🔵Программист 1С
🔵Инженер технической поддержки (1С Продукты)
Откликайтесь сами и делитесь с коллегами!🖤 #вакансии_Криптонит
📌А познакомиться с «Криптонитом» поближе вы можете, посмотрев видео о компании — в телеграме, в VK Видео или на YouTube.
Канал «Криптонита» в MAX
⚡️На Scalabook много обновлений! Это уникальная русскоязычная база знаний по Scala, которую ведёт руководитель группы серверной разработки «Криптонита». #scalabook
И недавно он добавил туда новые страницы — делимся с вами 💙 Отправляйте знакомым «скалистам»!
🔹Появился большой раздел об одной из самых популярных Scala библиотек Cats Effect. На русском языке других материалов об этом нет.
🔹Пополнилась бибилиотека упр…
Продолжаем серию экскурсий с криптографами «Криптонита»!
❗️23 июля в 18:30 в Музее криптографии пройдёт вторая экскурсия — её проведёт Иван Чижов, заместитель руководителя лаборатории криптографии по научной работе в компании «Криптонит».
Посетить тур с практикующим криптографом — это уникальная возможность увидеть экспозицию глазами профессионала. Иван поможет разобраться в незнакомых терминах и раскроет секреты м…
❤8⚡5👨💻2🆒2
Showing the 12 most recent of 16 posts we hold for @kryptonite_channel. 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 — 484,222 of 1,336,469entries 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 1 registered channel — 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.
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.
“Криптонит. Разработка, наука, шифрование” (@kryptonite_channel), 2,135 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/kryptonite_channel.
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.