3 measurements taken within a single day, net -1. 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 253–254 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Aug 2026, 00:52
253
-1
8 Aug 2026, 09:19
254
no change
8 Aug 2026, 03:16
254
first reading
Engagement
20 posts held, back to 3 April 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.
ERR · 30 days
44.4%
avg views ÷ 253 subscribers
Avg views / post
112
3 posts measured
Reaction rate
2.97%
reactions ÷ views · ER floor
Posts in window
3
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
Window
Rolling 30 days · latest post in window 2 August 2026
Posts held
20 (3 April 2025 – 2 August 2026)
Views total
337
Reactions total
10
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 09:19 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
8s
Average length
8s
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
173 reactions across 20 posts, in 16 distinct kinds. The most used accounts for 50.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
87
50.3%
custom 5276426847087781549
18
10.4%
👍
10
5.78%
🥰
10
5.78%
custom 5330328892811018097
8
4.62%
custom 5402195279199892424
8
4.62%
💋
5
2.89%
🔥
5
2.89%
custom 5366469006792355316
4
2.31%
☃
4
2.31%
🍓
4
2.31%
🤡
4
2.31%
👻
3
1.73%
🍌
1
0.578%
🐳
1
0.578%
👏
1
0.578%
Custom emoji. 4 of the rows above are 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 counts beside them areTelegram’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 20 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 173reactions 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 3 April 2025 to 2 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
99
across the posts below
Posts paid on
4
of 20 we hold a reading for · 20%
Most on one post
51
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nullmod. 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 3 April 2025 to 2 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.
🐱 Йо, после долгого маринования модуля, всё же решил опубликовать example как модуль.
🛠 В чём суть? Показать практические примеры для функционала юзербота. Здесь вы в полной мере можете ознакомиться с основными инструментами для модулей и наглядно увидеть, как ими пользоваться.
👁 Каждая тема разделена на секции - region. В каждой теме описываются связанные методы и показывается их применение на практике. Считайте,…
📄 Example
ℹ️ Модуль-пример для разработчиков
✏️ Commands:
📷 .example Пример описания для команды на русском
📷 .exmplmkp Пример команды с инлайн-кнопками
🤖 @bot inlexample Пример описания для инлайн-команды на русском
⬇️ .dlm https://github.com/ZetGoHack/Nullmod/raw/main/Example.py
#heroku_only
#upd Gradientor
[1.0.0 > 1.2.2]
✈️ Добавлена частичная поддержка генерации аватарок для iOS. Пока что - только для nft-фонов. Используйте флаг --ios для этого
🆕 Новая команда nftbg <ссылка на nft / slug> для создания фона напрямую по цветам nft-подарка. Поддерживает часть флагов из makepp
⚠️ Прошу обратить внимание — сейчас модуль генерирует градиент профиля под Telegram для Android и некоторые версии Telegram Desktop. На iOS градиенты построены иначе (линейные), так что я со временем закончу и с частью айфонов и оставшихся проблемных платформ. Сможете под нужную вам платформу создавать авы
📄 Gradientor
❗️❗️ Весь функционал перенесён в бота @gradientorbot! В нём гораздо больше возможностей, чем в модуле, советую попробовать!
ℹ️ Модуль для создания вашей аватарки на фоне из вашего профиля
✏️ Commands:
📷 .makepp [nothing/reply/username/id/photo] - создать аватарку с градиентом из цвета профиля
--update-cache - обновить кеш профиля, если вы только что сменили фон профиля
--linear - использовать линей…
#upd
[2.0.0 > 2.0.6]
🐟 Добавлена команда stockfish для игры против Stockfish
↔️ Убраны дубликаты кода в некоторых местах
👤 Добавлена возможность играть с кем угодно (просто напишите команду chess без аргументов)
Из текущих проблем знаю, что доска, всё-таки, иногда может выкидывать "Вы не можете нажать на эту кнопку". Патч не работает. Буду разбираться с этим
🌟 Думаю, выходить из беты уже можно
✔️ Базовый функционал реализован с возможностью его расширения, так что держать первую версию шахмат бессмысленно
По возможности буду заканчивать реализацию своих планов из этого поста
[1.1.2 > 2.0.0] Сделано:
✏️ Рефактор кода
📖 Английская локализация
😀 Новые стили
🔓 Безлимитное* количество одновременных игр
#️⃣ Возможность сдаться или предложить ничью
*зависит от мощности ваше…
🐱 пссс... бета-версия новых шахмат доступна по ссылке:
🔗 dlm https://raw.githubusercontent.com/zetgohack/testingmodules/main/chess_remake.py
💬 Можете опробовать её и дать свой фидбек по модулю
(модуль ещё не завершён полностью, не бейте ес чо). Буду ждать репорты багов в комменты! Особенно интересно поведение модуля в Хикке
🛠 Тут я реализовал полный функционал первой версии шахмат (даже чуть больше). Из нового:
…
🤨 Те, кто пользуются модулем, обновитесь пожалуйста. В боте вышло обновление, которое затронуло и автобонус. Пока что совсем маленький фикс, дальше посмотрю по ситуации
❤3
Signed 󠆜 стикПуши
Showing the 12 most recent of 20 posts we hold for @nullmod. 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
Citation-graph rank — 225,221 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.
Forward network
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.
Mentions
Named by 4 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.
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.
Declared links
One URL this entry has put in its own public description, shown exactly as written there. A declaration, not a verified association— we measured that the description contained this text, and nothing more. It is not a claim that this entry owns, runs or is connected to whatever the link resolves to; a description is text anyone controls, and anyone can put anyone else’s URL into it. How this is measured.
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 9 August 2026 — this
entry's latest reading, not the date you are reading this.
“Null·Modules” (@nullmod), 253 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/nullmod.
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.
