Marketing & affiliate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 20 September 2026 and assigned it the closest of 31 fixed categories, at 71% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
6 measurements spanning 28 days, net +24. 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 778–811 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Sept 2026, 08:37
806
-1
26 Aug 2026, 10:06
807
+8
20 Aug 2026, 09:08
799
+4
13 Aug 2026, 11:17
795
+13
7 Aug 2026, 11:07
782
no change
6 Aug 2026, 17:33
782
first reading
Engagement
19 posts held, back to 7 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
130 reactions across 17 posts, in 6 distinct kinds. The most used accounts for 40.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
53
40.8%
😁
23
17.7%
🔥
20
15.4%
🫡
17
13.1%
👍
16
12.3%
🐳
1
0.769%
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 17 of the 19 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 130 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 7 July 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.
Самая тяжелая фаза в билдинге чего либо - работа без видимого результата
По факту результат есть, он где-то там, где его не видно
Этот результат в миллион раз облегчает дальнейшую работу но по факту здесь и сейчас ты ничего не получил - и бьет это по моралке больше всего
Казалось бы, я веду Х уже 2 года и должен был забыть уже об этом "шорт-терм успехе" но каждый раз открывая новую задачу - мозг хочет получить до…
отвечу почему у меня нет приваток и инфопродуктов под снг
первое: когда я только начинал заниматься твиттером я вынес рефку полимаркета плюс ещё несколько крупных вещей и в тот момент у меня вообще не было медийки нигде не светился. просто сидел и работал. когда увидел что топовая волна начала спадать тогда и вышел на публику с кейсами. то есть сначала я вышел на результат а потом уже начал что-то показывать не наоб…
Почему реализация АИ реплаев труднее чем кажется:
У всей системы есть несколько путей реализации и каждый из них имеет свои весомые минусы
1. Простая система через расширение Claude в вашем браузере
+ Простая к установке
+ Легкая в освоении
+ Автоматизированная
- Скорость в разы ниже ручных реплаев
- Быстрые лимиты из за работы "через ваш экран"
- Время затраченное на обучение не компенсируется продуктивностью
- …
Инфлюенсер известный как @waleswoosh в Х вероятно зарабатывает более $1.2M в год
Предполагается что около 80% его заработка исходит благодаря личному бренду на более чем 175k подписчиков в X
Так же есть некие догадки что wale может зарабатывать около $5M всего за 1 бычий цикл
На скриншоте изображен его комментарий под постом одного из инфлюенсеров про "свой July recap" за который он заработал "nice six figs"
Дела…
Уже $2 положил в казну твиттера а у меня все еще не миллионы подписчиков
p.s такое чувство что прямое АПИ Грока тупее самого Грока в UI твиттера
Из за выебонов этой машины Антропиков палю кредиты Клауда каждые 5 часов без исключений
В последнее время очень люблю поглядывать за новыми ребятам и как они двигаются
Крупный прирост СНГ креейтеров в Х виден невооруженным взглядом и у каждого свой путь
Понимаю что это создает больше конкуренции но тем не менее огромное разнообразие креатива также прибавилось с приходом ребят
Я веду не к тому что это плохо, все дело в идеях от новых свежих инфлов
Каждый сюда пришел заработать и это очевидно но идеи …
будущие медсёстры сша оплачивают учёбу лудкой
опросили 1000 студентов медицинских программ: 27% уже лудят на предикшенах и бк, и каждый четвёртый из них вписал выигрыш прямо в план оплаты учёбы
из тех кто лудит:
- 45% сидят на калши, 31% на полимаркете, остальное драфткингс
- 73% лудят несколько раз в неделю, 15% каждый день. у обычных 18-22летних это 14% и 4%
- 30% при этом не вытягивают базовые расходы за месяц
…
Запасаюсь дровами на зиму, денег на отопления нету
Медвежка…
🫡9
Showing the 12 most recent of 19 posts we hold for @nursexxl. 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.
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 8 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.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@nursexxl named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@kalshigirls named in 1 post, 8 August 2026 – 8 August 2026 · confirmed gone 29 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@polybaddies named in 1 post, 8 August 2026 – 8 August 2026
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 3 September 2026 — this
entry's latest reading, not the date you are reading this.
“нюрс в твиттере” (@nursexxl), 806 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/nursexxl.
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.