Channel
@phoenix_blog
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
23subscribers
+0 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002366796246 |
|---|---|
| Type | Channel |
| Username | @phoenix_blog |
| Description | Let’s learn it together |
| Created | 10 February 2025 — measured — dated from the channel’s first post |
| First recorded | 11 August 2026 |
| Last confirmed live | 23 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/phoenix_blog |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 11:48 | 23 | no change |
| 8 Aug 2026, 00:20 | 23 | first reading |
13 posts held, back to 10 February 2025 — 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 13 posts for this entry, the most recent from 19 March 2025. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 11 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
23 reactions across 7 posts, in 6 distinct kinds. The most used accounts for 39.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 9 | 39.1% | |
| 🔥 | 8 | 34.8% | |
| ⚡ | 3 | 13.0% | |
| ❤🔥 | 1 | 4.35% | |
| 👍 | 1 | 4.35% | |
| 💯 | 1 | 4.35% |
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 8 of the 13 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 23reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 10 February 2025 to 19 March 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @phoenix_blog. 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 13 most recent posts we hold for this entry, published 10 February 2025 to 19 March 2025. 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.
🚨 Северная Корея украла $1,5 млрд с Bybit – крупнейший взлом в истории криптовалют! 💰💻 21 февраля 2025 года криптобиржа Bybit подверглась глобальной хакерской атаке, в результате которой было похищено 401 000 ETH (примерно $1,5 млрд). По данным ФБР, за атакой стоит северокорейская группировка Lazarus, известная своими киберпреступлениями, направленными на финансирование ядерной программы КНДР. 🔍 Как прошла атака? …
🔥3❤2⚡1
🔎 OSINT в социальных сетях: Instagram и Telegram 👤📱 Сегодня разберем, как искать информацию в Instagram и Telegram. Социальные сети содержат огромный объем данных, и если знать, где искать – можно узнать очень многое. 🔍 Instagram OSINT ✅ Поиск профилей с помощью Google Dorking Даже если аккаунт закрыт, можно найти полезную информацию через Google. 🔎 Ищем профиль по нику: site:instagram.com "username" 🔎 Ищем п…
❤2❤🔥1💯1
Что такое Linux и зачем он нужен? 🐧 Если ты когда-нибудь слышал слово Linux, но не понимал, что это такое и зачем он нужен, давай разберёмся простыми словами. Что такое Linux? 🤔 Linux — это операционная система, как Windows или macOS, но бесплатная и открытая. Это значит, что любой человек может скачать, установить и даже изменить её под себя. Но есть один нюанс: Linux — это не одна система, а целая семья разных …
❤2⚡1🔥1
Unlocking Metadata: The Hidden Story of Your Files 🔍 Ever wonder what secrets lie behind your photos and documents? Metadata is the key—it’s the invisible fingerprint that tells the story of every file. 📁 What Is Metadata? Metadata is simply “data about data.” It includes details like: • Date & Time: When a photo was taken or a document created. ⏰ • Location: GPS coordinates embedded in your images. 📍 • Device …
❤2🔥1
OSINT Tools Report #1 Snoop Project Snoop Project is a powerful tool for tracking a user’s presence across 4,900 websites and platforms. It scans various services to determine where a target has registered accounts, potentially revealing emails, usernames, phone numbers, and other linked data. This information can be used to dive deeper into a person’s online activity. 🔹 Supported OS: Windows, Linux, Android. 🔹 Not…
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Это информация очень полезная и интересная, из за этого я решил опубликовать русскую версию статьи тоже. Но она будет удалена с канала в скором времени ‼️ 🔍 Google: Король OSINT или Великий Шпион? Когда ты ищешь что-то в Google, ты уверен, что только ты видишь этот запрос? На самом деле, Google — это не просто поисковик, а мощнейший инструмент OSINT, который ежедневно собирает и анализирует гигантские объёмы инфор…
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🔍 Google: The King of OSINT or the Ultimate Spy? When you search for something on Google, are you sure only you see your query? In reality, Google is not just a search engine—it’s a powerful OSINT tool that collects and analyzes massive amounts of information every day. 💡 How does Google use OSINT? 🔎 Google Dorking – Special search queries that can reveal leaked databases, hidden documents, and even passwords. Both…
🇺🇸🎖 U.S. Army Considers Standardizing OSINT Tool Procurement The U.S. Congress is pushing an initiative to standardize the procurement of Open-Source Intelligence (OSINT) tools as part of the 2025 defense budget. If approved, the Army may assign an existing office (PEO) to centralize the purchase of OSINT software, improving its ability to analyze open sources, such as news and social media. 🛡 OSINT in Military Ope…
Google Dorking Report #2 After analyzing the results, here are the key findings: 1. Protection from Indexing Some websites try to hide pages from search engines using: • robots.txt – Tells search engines which pages not to index, but anyone can still access them directly. • Noindex meta tag – Blocks a page from appearing in search results. • X-Robots-Tag header – Prevents indexing of files like PDFs and images.…
Google Dorking #1 As google dorking is base for OSINT and Cyber Security, this theme has to be learnt fully so it could be easily used further for researchs and projects. It seems like easy ( maybe it is easy), but when i am trying to serch with filters (filetype, ext, intext and so on) google is not giving any results every time with different domains and sites. Mybe it is because that files does not exist in open …
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Channel photo updated
Channel photo updated
Showing the 12 most recent of 13 posts we hold for @phoenix_blog. 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 — 621,669 of 1,620,455entries 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 1 registered channel — 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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“OSINT | CYBER SECURITY | PHOENIX” (@phoenix_blog), 23 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/phoenix_blog.
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.