The Open Network (TON) обеспечивает быстрый и удобный доступ к криптовалютам для каждого. Интегрируя Web3-экосистему в Telegram, TON даёт миллиардам людей возможность управлять своей цифровой идентичностью, данными и активами.
Created
29 July 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 80% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (5 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 4 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 17 comparable posts for this entry, running 8 April 2026 to 15 June 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @toncoin_rus — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 6 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
7 measurements spanning 6 days, net -141. 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 540,244–542,697 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 01:42
541,574
-469
11 Aug 2026, 01:23
542,043
-371
9 Aug 2026, 23:32
542,414
+1,887
8 Aug 2026, 22:20
540,527
-371
7 Aug 2026, 21:56
540,898
-453
6 Aug 2026, 21:02
541,351
-364
6 Aug 2026, 00:42
541,715
first reading
Engagement
19 posts held, back to 8 April 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 17 pagesof 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 24 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
≈1,040
Videos
≈171
Links
≈1,810
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
29s
Average length
29s
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.
Reaction mix
7,673 reactions across 17 posts, in 6 distinct kinds. The most used accounts for 29.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,276
29.7%
👍
2,087
27.2%
🔥
1,782
23.2%
⚡
651
8.48%
🤯
567
7.39%
✍
310
4.04%
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 7,673reactions 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 8 April 2026 to 24 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.
🤑GRAM уже здесь!
Меняются тикер, логотип и название. Всё остальное остаётся прежним.
Тот же блокчейн. Та же сеть. Те же разработчики. То же сообщество.
Ваши активы автоматически конвертируются в GRAM в соотношении 1:1. Никаких обменов, миграций или действий с вашей стороны.
—————————
🫶 Почему GRAM?
Gram, это оригинальное название токена из первого вайтпейпера TON. Возвращаясь к нему, мы отдаём дань истокам прое…
🪙 Переименование Toncoin — голосование сообщества
За последние месяцы TON сильно изменился. Telegram всё активнее участвует в работе сети и становится её крупнейшим валидатором. Сеть стала в 10 раз быстрее, а комиссии упали в 6 раз. Имя Gram дали токену сами основатели TON ещё в первом White Paper — и оно с тех пор так и осталось в кодовой базе.
Поэтому Telegram предлагает вернуть токену его исходное имя и переимен…
$100,400 только что достались 15 победителям Челленджа TON по консенсусу.
🧠 Самые умные инженеры на планете — некоторые вооруженные верными помощниками ИИ — помогли нам максимально повысить безопасность нового механизма консенсуса.
🏆 Конкурсы Telegram предлагают щедрые призовые деньги — и единственный путь к присоединению к нашей инженерной команде.
🌍 TON, насчитывающая 400 валидаторов на 6 континентах, является одной из самых децентрализованных блокчейн-сетей в мире.
🧑💻 Став крупнейшим валидатором, Telegram открыл двери для крупных бирж и кастодианов, позволяя им размещать TON в стейкинге без увеличения риска централизации.
Представляем Acton — новый современный набор инструментов для разработки смарт-контрактов на TON.
Acton охватывает весь жизненный цикл разработки: создание проекта, тестирование, отладку, интеграцию с dApp, деплой и верификацию.
Изначально ориентированный на работу через CLI, он одинаково удобен как для разработчиков, так и для AI-агентов.
1. Один инструмент вместо набора утилит
Создавайте, собирайте, тестируйте, …
🛠 Разработка для TON стала в 10 раз быстрее. Новый инструментарий позволяет легко создавать, тестировать и развертывать смарт-контракты.
Самое главное, он полностью готов для работы с ИИ.
Он заменяет фрагментированный набор инструментов TON единым потоком разработки. Начинайте создавать!
🫴 TON является #1 по годовым вознаграждениям за стейкинг среди 50 крупнейших криптовалют.
И это помимо роста цены монеты, которая удвоилась за последнюю неделю.
🏁 TON лидирует среди блокчейнов первого уровня по времени финализации
🔗 Источник: https://telegra.ph/Comparison-of-Layer-1-blockchains-by-finalization-time-05-01
💎 То, что Telegram становится крупнейшим валидатором TON, на самом деле усиливает децентрализацию сети.
✅ Это даёт возможность другим крупным игрокам заходить в пул валидаторов, не скатывая сеть в централизацию — Telegram здесь выступает как своего рода противовес.
📈 Всё больше TON уходит в стейкинг, потому что все стремятся получить доходность выше 20% годовых
⚡️ Комиссии в TON снизились в 6 раз — теперь они почти нулевые.
Следующий шаг — Telegram берёт на себя роль драйвера TON вместо TON Foundation и становится крупнейшим валидатором сети.
⚙️ Фокус смещается на технологическое превосходство.
🧩 Новый ton.org, новые инструменты для разработчиков, апгрейды производительности.
🧭 Срок — 2–3 недели.
🪙 Это 3 из 7 шагов на пути к Make TON Great Again.
👍243❤169🔥114⚡38🤯18✍12
Showing the 12 most recent of 19 posts we hold for @toncoin_rus. 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.
Citation-graph rank
Citation-graph rank — 1,612 of 1,151,006entries 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.
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 121 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 9 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Tonstakers RU @thetonstakers_ru · 153,181 Telegram ranks this channel #1 of 86 here — alongside 85 others — read 12 August 2026
Новости Тонкипера @tonkeeper_ru · 473,236 Telegram ranks this channel #2 of 87 here — alongside 86 others — read 10 August 2026
Новости Кошелька @cryptowallet_news_cis · 1,154,498 Telegram ranks this channel #2 of 90 here — alongside 89 others — read 8 August 2026
THE OPEN LEAGUE @theopenleague · 155,553 Telegram ranks this channel #4 of 85 here — alongside 84 others — read 12 August 2026
TON News @new_ton_news · 197,408 Telegram ranks this channel #4 of 86 here — alongside 85 others — read 11 August 2026
OKX Новости @okx_ru · 4,180,426 Telegram ranks this channel #4 of 87 here — alongside 86 others — read 8 August 2026
Investment kingyru 💎 @investkingyru · 1,858,517 Telegram ranks this channel #4 of 85 here — alongside 84 others — read 7 August 2026
$Punk DAO @daouptown · 161,645 Telegram ranks this channel #7 of 84 here — alongside 83 others — read 12 August 2026
DeCenter — блокчейн, биткоин, инвестиции @DeCenter · 1,963,428 Telegram ranks this channel #7 of 88 here — alongside 87 others — read 7 August 2026
Aqua Protocol - Кредитование на TON (RU) @aquaprotocolxyzchannel · 461,101 Telegram ranks this channel #8 of 86 here — alongside 85 others — read 10 August 2026
TON Community @toncommunitychannel · 812,552 Telegram ranks this channel #10 of 84 here — alongside 83 others — read 8 August 2026
🇷🇺 The Club 100 - Криптовалютый окоп, нейро полигон, геймерская усадьба, технический момент @crypto_okop · 148,871 Telegram ranks this channel #11 of 76 here — alongside 75 others — read 12 August 2026
DeFinder Capital (DFC) @de_findercapital · 279,626 Telegram ranks this channel #11 of 88 here — alongside 87 others — read 10 August 2026
TON Newbie 💎 @TonNewbie · 219,589 Telegram ranks this channel #12 of 86 here — alongside 85 others — read 11 August 2026
Lost Dogs Co Ru @lostdogscoru · 220,493 Telegram ranks this channel #13 of 84 here — alongside 83 others — read 11 August 2026
Новости Crypto Bot @cryptobotru · 2,448,810 Telegram ranks this channel #14 of 79 here — alongside 78 others — read 7 August 2026
Gram of TON @gram · 7,033,222 Telegram ranks this channel #16 of 82 here — alongside 81 others — read 7 August 2026
All About TON @all_aboutTon · 156,987 Telegram ranks this channel #17 of 84 here — alongside 83 others — read 12 August 2026
TonDreamer @TonDreamerr · 169,396 Telegram ranks this channel #18 of 83 here — alongside 82 others — read 12 August 2026
Стукач Трейдит @stukach_trading · 322,087 Telegram ranks this channel #18 of 81 here — alongside 80 others — read 10 August 2026
Not Fans @notforfans · 151,509 Telegram ranks this channel #19 of 87 here — alongside 86 others — read 12 August 2026
zicelaqo @zicelaqo · 172,396 Telegram ranks this channel #19 of 84 here — alongside 83 others — read 12 August 2026
<\> Шардинг, TON'ы, два Жетона </>. @ton2k · 251,489 Telegram ranks this channel #20 of 83 here — alongside 82 others — read 10 August 2026
КриптоБош @cryptobosh · 149,701 Telegram ranks this channel #23 of 87 here — alongside 86 others — read 12 August 2026
This channel appears in 81 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
12 domainsthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Gram RUS” (@toncoin_rus), 541,574 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/toncoin_rus.
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.
