я пиздатый
👍1,970❤9🎉5🔥5

Channel
@vrelogproject
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
1,272subscribers
-8 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003578296122 |
|---|---|
| Type | Channel |
| Username | @vrelogproject |
| Created | 3 January 2026 — measured — dated from the channel’s first post |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/vrelogproject |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 15:56 | 1,272 | -8 |
| 7 Aug 2026, 22:47 | 1,280 | no change |
| 7 Aug 2026, 18:47 | 1,280 | first reading |
11 posts held, back to 3 January 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 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 11 posts for this entry, the most recent from 26 April 2026. An engagement rate over an empty window would be a number about nothing.
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.
23,974 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 65.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 15,585 | 65.0% | |
| ❤ | 2,811 | 11.7% | |
| 🎉 | 2,796 | 11.7% | |
| 🔥 | 2,782 | 11.6% |
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 10 of the 11 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 23,974reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 3 January 2026 to 26 April 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.
я пиздатый
👍1,970❤9🎉5🔥5
✅ТОП-10 шоп-ботов в Telegram 🛍Маркетплейсы (самые безопасные) 1. @wildberries_bot — покупки с Wildberries 2. @ozonru_bot — товары с Ozon 3. @AliExpressBot — поиск товаров с AliExpress 4. @YandexMarketBot — сравнение цен и выбор товара 5. @SberMegaMarketBot — маркетплейс от Сбера 👉это самые адекватные варианты, потому что это официальные сервисы ⸻ 😎Кэшбек и помощь с покупками 6. @EPN_cashback_bot — кэшбек + скид…
👍1,970❤10🎉9🔥5
✅✅✅✅✅✅ Вот топ-10 нормальных и популярных Telegram-каналов про футбол (русскоязычные + международные), которые реально читают и которые не выглядят как мусорные “инсайд-каналы”: ⸻ 🥇 ТОП футбольных Telegram-каналов ✈️1. @GOAL24Main Один из самых крупных футбольных каналов: новости, трансферы, разборы. ✈️2. @sportsru (Спортс”) Новости футбола + аналитика, много лиг и статистики. ✈️3. @Match_TV (Матч ТВ) Официальны…
👍2,060🔥14❤13🎉7
✈️Языки которыми я обладаю 🇪🇸Испанский : Hola 👋 🏴Английский : Hello 👋 🇫🇷Французский : Bonjour 👋 🇵🇹Португальский : Olá 👋 🇷🇺Русский : Привет 👋 🤖Лучше всего знаю 🇪🇸Испанский : Hola 👋 🏴Английский : Hello 👋 🇷🇺Русский : Привет 👋 1️⃣ @vrelog 1️⃣
👍1,350❤394🎉393🔥354
+ нфт 😋
👍1,220🔥448❤418🎉414
Voice message, posted without a caption
👍1,530🎉141❤125🔥124
ПОЛЕЗНАЯ ИНФОРМАЦИЯ ➿➿➿➿➿➿➿➿➿ ➕Осинт - поиск информации по открытым источникам/базам данных/ зацепкам➕ ➖Ксинт - поиск информации по закрытым источникам/базам данных➖ 💲Геосинт - это скрипт который ищет фотографии с метками В инете или соц сетях💲 🛡Докс - поиск информации , которую скрывает ваша цель🛡 💎Ддос - атака веб.ресурса с целью прекращения его работы💎 🆘Снос - удаление аккаунта, в большинстве случаев софта …
👍515🔥509🎉489❤481
💀Создал бота для прoбiв@💻 🟢@vrelogprobivbot🟢 🟢@vrelogprobivbot🟢 🟢@vrelogprobivbot🟢
👍1,920❤33🎉29🔥19
Быстро выучить язык можно — но только если делать правильные вещи каждый день, а не просто “учить слова”. Вот схема, которая реально работает 👇 ⸻ 🚀 1. Самое главное — регулярность 👉 Лучше 30–60 минут каждый день, чем 5 часов раз в неделю Мозг учит язык через частые повторения, а не перегруз ⸻ 🧠 2. Учи не слова, а фразы ❌ dog = собака ✅ I walk my dog every day 👉 Так ты сразу учишь: • слова • грамматику • как…
👍1,000🎉339❤332🔥323
🆘🆘 🍾🍾🍾 💰💰💰💰 🤙My Project 🤫My shop - @vrelogshop 💰Мой твинк - @repliker ⚽️Best Friend - @arab_minet 📊Reviews - @vrelogrew 🌟Free stars - @Free_stars_channel 🔥Signas - @vrelogsigna 😈My music - @vrelogmusic ⛏Probiv bot - @vrelogprobivbot 🤯NFT news - @glaznft 🌎Звёзды от моего имени - @zvezdavrelog ⚡Чат - @piartelegramer 😎My real username (ONLY THESE) - @vrelog 🤝Status - мирный 📱Devices - iPhone 17 pro, iPhon…
👍2,050❤996🔥981🎉970
Channel created
Showing the 11 most recent of 11 posts we hold for @vrelogproject. 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@vrelogproject 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.
References a handle that is not a live channel — we have no record it ever was one.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“portal 👁️” (@vrelogproject), 1,272 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/vrelogproject.
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.