Telegram RegisterThe public register of Telegram

Channel

Нурсултан / richcoffle

@richcoffle_ai

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry

250subscribers

+3 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002553356026
TypeChannel
Username@richcoffle_ai
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/richcoffle_ai

Growth

247250248.56 August 2026 — 247 subscribers7 August 2026 — 247 subscribers13 August 2026 — 250 subscribers6 August 202613 August 2026
3 measurements spanning 7 days, net +3. 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 247–250 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 12:19250+3
7 Aug 2026, 02:30247no change
6 Aug 2026, 18:18247first reading

Engagement

16 posts held, back to 16 January 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
73.6%
avg views ÷ 250 subscribers
Avg views / post
184
2 posts measured
Reaction rate
5.98%
reactions ÷ views · ER floor
Posts in window
2
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
WindowRolling 30 days · latest post in window 4 August 2026
Posts held16 (16 January 20264 August 2026)
Views total368
Reactions total22
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 02:30 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

232 reactions across 15 posts, in 6 distinct kinds. The most used accounts for 43.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 534354559380752164310043.1%
custom 53955977541666829686628.4%
custom 52196758378879562684017.2%
custom 5280881372418816002166.90%
custom 528977260755656823093.88%
custom 544987585004648196710.431%

Custom emoji. Every 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 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 15 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 232reactions 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 16 January 2026 to 4 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
46
across the posts below
Posts paid on
8
of 15 we hold a reading for · 53%
Most on one post
16
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @richcoffle_ai. 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 16 most recent posts we hold for this entry, published 16 January 2026 to 4 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

4 Aug 2026, 07:57 UTC61 views10 reactionsread 7 August 2026
Video

В университетские годы я жил в общежитии и делил комнату с человеком, с которым мы до сих пор поддерживаем связь. От тех нескольких лет остались только тёплые воспоминания, но особенно, как мы с Лёхой (так зовут моего соседа) часами работали за компьютерами. Я тогда уже умел монтировать видео и продолжал оттачивать навыки, а Лёха занимался разработкой игр. Был своего рода коворкинг: мы делились друг с другом отзывами

custom 53435455938075216438custom 52196758378879562681custom 53955977541666829681

27 Jul 2026, 07:02 UTC307 views12 reactions11 Starsread 7 August 2026
Video

Цикл "Живые легенды" / Памятник бездомным животным 📍Адрес памятника: г. Оренбург, ул. Ленинская, 40 Предыдущие ролики цикла: 1. В.П. Чкалов 2. А.И. Засс 3. Ю.А. Гагарин #живыелегенды #динамика

custom 53435455938075216437custom 52196758378879562684custom 54498758500464819671

3 Jun 2026, 15:00 UTC591 views8 reactions1 Starread 7 August 2026
Video

OBLADAET — MONSTER TRAKK Мир Назара одним словом — это движение. Оно отражается во всём, что его окружает и что он создаёт. Если музыка — то динамичная, если спорт — то сразу несколько, если лайфстайл — то во всех точках мира, если бренд одежды — то подстать образу жизни. В видеоряде захотелось отразить это через роуд-муви. Города и автомобили в ролике не случайные, каждый так или иначе вписан в лор облы. #динамик

custom 53435455938075216437custom 52196758378879562681

3 Jun 2026, 11:57 UTC237 views3 reactionsread 7 August 2026

❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ сегодня

custom 52897726075565682303

29 Apr 2026, 17:20 UTC605 views14 reactionsread 7 August 2026
Video

Продолжаю признаваться в любви городу, в котором живу. И пропагандирую смотреть на Оренбург моими глазами. В них он красив — и внешностью, и тем, что скрыто от глаз: контекст и история Предыдущий ролик тут Видео: Нурсултан Музыка: Missu, lowlife – Следы #динамика

custom 534354559380752164311custom 52196758378879562683

15 Apr 2026, 16:17 UTC657 views22 reactionsread 7 August 2026
Video

На днях смотрели с друзьями фильм и поймал себя на мысли: рекламные вставки про что угодно, только не про сам просмотр и не про то, что может пригодиться прямо во время него. Представил, как могла бы выглядеть уместная рекламная вставка Яндекс Еды на кино-ресурсах. Концепт. Не аффилирован с брендом. #динамика

custom 539559775416668296811custom 52196758378879562686custom 53435455938075216435

14 Apr 2026, 18:35 UTC277 views10 reactions11 Starsread 7 August 2026

Сделал видео для Яндекса (но они об этом не знают) Дроп завтра

custom 52196758378879562688custom 53435455938075216431custom 53955977541666829681

5 Apr 2026, 16:21 UTC≈1,080 views20 reactionsread 7 August 2026
Video

❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ Не серый, не скучный и точно не «город, в котором не на что посмотреть/не куда сходить» Красота в глазах смотрящего. Мой взгляд таков ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ Видео: Нурсултан Музыка: BATO #динамика

custom 539559775416668296812custom 52196758378879562684custom 52808813724188160024

27 Mar 2026, 17:28 UTC≈2,900 views21 reactions16 Starsread 7 August 2026
Video

❤️❤️❤️❤️❤️❤️❤️❤️ ❤️❤️❤️❤️❤️❤️❤️❤️ ❤️❤️❤️❤️❤️❤️❤️❤️ 📁 *клик* 🖱

custom 534354559380752164310custom 52897726075565682306custom 53955977541666829685

24 Mar 2026, 14:04 UTC501 views17 reactions2 Starsread 7 August 2026
Video

❓❓❓❓❓❓❓ ❓❓❓❓❓❓❓ ❓❓❓❓❓❓❓❓❓❓ ❓❓❓ Точка доступа к 58 независимым креаторам. Это папка, объединяющая авторов из разных сфер. Один вход — десятки разных взглядов. ❓❓❓❓❓❓❓❓❓❓ ❓❓❓❓❓❓❓ ❓❓❓❓❓❓❓ 💿 @Danil_Tayn @obscuraline @somovdes @allllrandom @nvmbr000 @noncitydowlyaa @danke_design @drammakeyyy @serezhadodesign @kxrayyart @rrarriprod @chstog @se1ects @lawli

custom 53955977541666829689custom 53435455938075216435custom 52196758378879562683

4 Mar 2026, 14:12 UTC≈1,700 views20 reactions2 Starsread 7 August 2026
Video

Цикл "Живые легенды" / Ю.А. Гагарин 📍Адрес памятника: г. Оренбург, сквер им. Ю.А. Гагарина Ролик созданный нейросетями на основе фотографий Предыдущие ролики цикла: 1. В.П. Чкалов 2. А.И. Засс #живыелегенды #динамика

custom 534354559380752164312custom 52196758378879562684custom 53955977541666829684

17 Feb 2026, 16:27 UTC≈1,130 views18 reactions2 Starsread 7 August 2026
Video

Я к вам с важной новостью! Недавно я ушёл с наёмной работы и двигаюсь теперь на самозанятости — видеомонтаж, работа с ИИ. Теперь у меня будет больше времени и на канал, и на реализацию в соло. Сейчас я в поиске новых клиентов, поэтому если вам или вашим знакомым понадобятся мои умения, я буду рад их применить! Вы можете делиться ссылкой — https://taplink.cc/richcoffle. В ней портфолио, ссылки на соцсети и этот же

custom 534354559380752164312custom 53955977541666829686

Showing the 12 most recent of 16 posts we hold for @richcoffle_ai. 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 — 482,171 of 1,340,412entries 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 7 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.

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.

“Нурсултан / richcoffle” (@richcoffle_ai), 250 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/richcoffle_ai.

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.