Telegram RegisterThe public register of Telegram
Telegram profile photo for Nick | Affiliate Marketing

Channel

Nick | Affiliate Marketing

@n1ckblog

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

151subscribers

-1 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-1002499980870
TypeChannel
Username@n1ckblog
CreatedBetween 1 December 2024 and 30 April 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/n1ckblog

Growth

151152151.56 August 2026 — 152 subscribers8 August 2026 — 152 subscribers13 August 2026 — 151 subscribers6 August 202613 August 2026
3 measurements spanning 7 days, 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 151–152 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 11:35151-1
8 Aug 2026, 19:17152no change
6 Aug 2026, 19:30152first reading

Engagement

16 posts held, back to 12 December 2025the 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 16 posts for this entry, the most recent from 28 June 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 24s
Average length
21s

Measured directly from 4 videos 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

199 reactions across 16 posts, in 7 distinct kinds. The most used accounts for 37.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
7437.2%
🔥6130.7%
👍2914.6%
😁115.53%
🤣115.53%
💯105.03%
💊31.51%

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 199reactions 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 12 December 2025 to 28 June 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
9
across the posts below
Posts paid on
7
of 16 we hold a reading for · 44%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @n1ckblog. 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 12 December 2025 to 28 June 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

28 Jun 2026, 08:32 UTC171 views11 reactionsread 8 August 2026

😊 Остальные: Пойдут чисто ради интереса, потому что «все пошли» и нужно быть в контексте культурного кода. А чтобы окончательно добить психику туристов и сломать систему, в официальных саундтреках к фильму звучит рэп. Бляха, рэп в древнегреческой мифологии! Это что-то абсолютно новенькое, смелое и максимально провокационное. 👀Вывод: Круговорот абсурда как новая норма! Что мы можем подчеркнуть для себя из этого кей

🔥63👍2

28 Jun 2026, 08:32 UTC145 views9 reactionsread 8 August 2026
Photo

🎬 Гений или заложник бизнеса? Почему «Одиссея» Нолана взломала интернет Давайте на минуту отвлечемся от наших привычных тем и обсуждений. Если вы еще не видели трейлеры новой «Одиссеи» Кристофера Нолана — настоятельно рекомендую посмотреть. Вокруг этого релиза прямо сейчас разворачивается чистейший мастер-класс по управлению массовым вниманием в современном мире. Лента соц сетей забита смешным нарезками, а люди раз

4👍3🔥2

24 Jun 2026, 08:03 UTC140 views8 reactionsread 8 August 2026
Photo

Цукеру явно мало заработка на арбитражниках, и теперь гембла переходит на совершенно новый уровень 🎰 Вышел эксклюзив от New York Times: Марк поручил Meta разработать собственное приложение для рынков предсказаний. Внутри компании этот экспериментальный проект называют «Arena». Приложуха будет работать как отдельный продукт, независимо от привычных нам Facebook и Instagram. Главная цель — забрать часть аудитории и с

🔥42👍2

3 Jun 2026, 12:53 UTC530 views14 reactions1 Starread 8 August 2026
Photo

Иллюзия цены 🤦‍♂️ Почему дорогие продукты всегда найдут своего покупателя, особенно среди тех, у кого нет денег? Давайте на минуту отвлечемся от метрик, конверсий и стоимости лида. Поговорим о парадоксе, который ломает мозг 🧠 всем начинающим маркетологам. Вы когда-нибудь задумывались, почему самые дорогие курсы, премиальные БАДы из нутры и самые агрессивные ставки в казино делают люди, чей реальный доход далек от ид

🔥7👍43

1 Jun 2026, 16:52 UTC121 views14 reactions1 Starread 8 August 2026

Слушайте, я тут поймал себя на одной мысли, и она сначала меня дико разозлила, а потом все расставила по местам. Я смотрел на свои плейлисты и вдруг осознал: музыка, которую пишет ИИ, стала просто лучше оригинала. И если у вас сейчас внутри поднимается волна протеста — поспорьте с собой, я эту стадию отрицания уже прошел. Механика тут до боли банальная 😒 Искусственный интеллект сожрал миллиарды часов музыки, отфиль

6👍4🔥4

1 Jun 2026, 16:52 UTC132 views18 reactions1 Starread 8 August 2026

Всем плевать, сколько бессонных ночей вы страдали, выписывая код или текст. Страдания больше не продаются🧐Продается подражание. А подражать можно только живому человеку. Никто не вешает на стену постер с GPT, никто не хочет копировать стиль нейросети. Но миллионы хотят жить, как тот живой чувак, который изящнее и успешнее всех заставил эти алгоритмы на себя работать. Тот, кто задает эстетику. Мы идем к правилу "23 на

🔥95👍4

4 Mar 2026, 17:28 UTC298 views15 reactionsread 8 August 2026
Photo

Если вы всё ещё думаете, что арбитраж — это найти хорошее крео у меня плохие новости 👀 В 2026 выигрывают не креативщики, а инженеры 😾 роста. Разобрал в статье, как реально строится прибыльная affiliate-воронка сегодня. Читать 👇 🔜 Статья 🔙 🎚️ Подписаться | 🛫Чат

9👍3🔥3

15 Jan 2026, 17:07 UTC811 views22 reactions2 Starsread 8 August 2026
Photo

Сегодня хотел поделиться с вами мыслями на одну тему: работу в экстремальных условиях. Думаю, многие кто живёт сейчас в Украине, особенно в Киеве, поймут, о чём я. Для тех кто не в контексте: у нас тут тотальный блэкаут, плюс аномально холодная погода. Короче, жопка в кубе в минус 20( Но несмотря на это, я каждый день вижу одну картину: ребята из соседнего ЖК сидят с утра до вечера в ближайшей кофейне под стук гене

11🔥6💯5

7 Jan 2026, 18:29 UTC331 views7 reactionsread 8 August 2026
Photo

Похоже началось 😵Вьетнам 🇻🇳запретил ⛔️ навязчивую рекламу Есть вещи, которые объединяют людей по всему миру. Например: • носок, который исчезает навсегда, и стиралка делает вид, что ни при чём; • видео «на минутку», которое превращается в жизненный квест; • и реклама на YouTube, которую ты смотришь, как наказание. Ты включаешь видео «на 3 минуты», чтобы что-то быстро узнать — и внезапно смотришь 30 секунд ролика

3👍2🔥2

7 Jan 2026, 14:46 UTC214 views13 reactionsread 8 August 2026
Forwarded from @inb_advertiserPhoto

What if the future of nutra isn’t about competition, but cooperation? 🤝 In our new interview, Danil Zhuliev (COO, INB.bio) and Nikita Omelchuk (COO, Aff1 & author of Telegram channel @n1ckblog) talk honestly about how direct competitors can work side by side, building the market instead of fighting over it. 👉 Read the full article on our website. And see why collaboration is becoming a real advantage 🔥 Aff1 Telegr

7💊3🔥3

30 Dec 2025, 13:23 UTC267 views12 reactions2 Starsread 8 August 2026

🎄 С Новым годом, друзья! Этот год для меня особенный. И не потому что он был лёгким — а потому что я наконец начал делать то, что давно откладывал: запустил этот блог и начал делиться мыслями, опытом, сомнениями и выводами. Без идеальной картинки. Без «успешного успеха». Зато честно. Спасибо каждому, кто читает, реагирует, спорит, думает вместе со мной. Вы ❤️ — причина, по которой хочется писать дальше. В новом г

8🔥4

30 Dec 2025, 13:21 UTC213 views14 reactionsread 8 August 2026
Video

А как прошел ваш год? 🫠🤣😢

6😁5🤣3

Showing the 12 most recent of 16 posts we hold for @n1ckblog. 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 — 631,610 of 1,481,217entries 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.

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 2 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.

“Nick | Affiliate Marketing” (@n1ckblog), 151 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/n1ckblog.

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.