Channel
@glazcukera
On this record: Growth · Engagement · Stars · Posts · Citations · Cite this entry
8,172subscribers
+33 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002099842000 |
|---|---|
| Type | Channel |
| Username | @glazcukera |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/glazcukera |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 01:28 | 8,172 | +4 |
| 12 Aug 2026, 00:42 | 8,168 | +18 |
| 9 Aug 2026, 09:51 | 8,150 | +10 |
| 6 Aug 2026, 16:27 | 8,140 | +1 |
| 6 Aug 2026, 08:30 | 8,139 | no change |
| 6 Aug 2026, 08:21 | 8,139 | first reading |
26 posts held, back to 19 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 13 pagesof Telegram’s post history, 20 posts per page.
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. It is computed over the 25 of 26 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 26 (19 July 2026 – 12 August 2026) |
| Views total | 44,707 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 16:41 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @glazcukera. 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 26 most recent posts we hold for this entry, published 19 July 2026 to 12 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.
GoHeep — сервис для быстрого поиска локальных инфлюенсеров в TikTok, Instagram и YouTube. Фильтрация по гео, тематике, аудитории и другим параметрам, подбор креаторов по промту, бесплатный тариф.
Забанили ByBit, Binance, OKX или другую биржу? Неудивительно. Мы представляем — AML Base, бот проверяет адреса и транзации для выявления потенциальной угрозы, быть в курсе своих поступлений = не терять их. Кидаем любой адрес или транзу и моментально получаем развернутый ответ о происхождении средств и рисках работы с реквизитами. 🔹Любая проверка меньше 1$; 🔹Проверки не сгорают со временем; 🔹Проверяем USDT / USDC /…
Используем AI блогеров для добычи трафика в любой вертикали Руководство по созданию реалистичных AI инфлюенсеров для продвижения товаров, партнерок и любых офферов. Разбираются выбор ниши, создание цепляющего персонажа, алгоритмы TikTok, Instagram и Youtube, генерация контента под офферы, публикация без блокировок, готовые связки и многое другое. [СКАЧАТЬ]
OrLink — бесплатный трекер с открытым кодом для управления трафиком и аналитики рекламных кампаний. Импорт данных из популярных трекеров, интеграция с 50+ CPA сетями, поддержка MCP и низкие требования к серверу.
Почему Cloudflare для заливов трафика это база и что он дает Разбираются ключевые возможности Cloudflare и его роль при проливах трафика. Объясняется, какие задачи помогает решить этот сервис и почему он считается одним из базовых инструментов арбитражника. [СМОТРЕТЬ]
Добываем УБТ для OnlyFans и Fanvue через Snapchat Авторский мануал по построению рабочей воронки в Snapchat: от настройки аккаунта до перевода трафика на OnlyFans/Fanvue. Разбираются особенности площадки, подготовка аккаунта, стратегии привлечения трафика, прогрев аудитории, правила обхода блокировок и полезные лайфхаки. [СКАЧАТЬ]
ImagePer — бесплатный инструмент для массовой генерации креативов по промту. Гибкая настройка стилей и форматов, поддержка негативных промтов, отсутствие жесткой цензуры и генерация до 100 изображений в один клик.
Автоматизируем набор органики в Instagram через Claude Пособие по массовому созданию вирусного контента для стабильного привлечения органического трафика с помощью Claude и других AI инструментов. Разбираются генерация Reels, постов и каруселей, различные форматы контента, готовые хуки и сценарии, связки с AI аватарами, особенности алгоритмов Instagram и прочее. [СКАЧАТЬ]
Строим контент завод под УБТ через YouTube Пособие по созданию автоматизированной системы для массового производства уникального контента под УБТ. Разбираются генерация сценариев, автоматизация монтажа, уникализация роликов, защита от страйков и теневых банов, удержание аудитории, выбор ниш под бурж и многое другое. [СКАЧАТЬ]
Создаем нативные AI креативы под залив любых офферов Пособие по созданию реалистичных ИИ роликов с нативной интеграцией товаров и офферов под любую вертикаль. Разбираются работа в Sora, Veo и Kling, генерация сценариев, готовые промты и шаблоны, оптимизация рабочего процесса и многое другое. [СКАЧАТЬ]
PrintTurbo — бесплатная AI утилита для автоматической сборки коротких роликов по заданной теме или ключевым словам. Локальный запуск, создание видео от сценария до финального монтажа и публикация в TikTok, YouTube и Instagram.
Бесплатные инструменты для первого запуска трафика Собрана подборка лучших бесплатных сервисов, которые помогут подготовиться к первым заливам. Разбирается, какие задачи решает каждый инструмент и в каких случаях их стоит использовать. [СМОТРЕТЬ]
Showing the 12 most recent of 26 posts we hold for @glazcukera. 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 — 130,309 of 1,350,102entries 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.
Named by 10 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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“Глаз Цукера 🧿” (@glazcukera), 8,172 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/glazcukera.
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.