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▪️Раскрываю тайны экосистемы TON
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▪️Показываю новые тренды в TON-е и что с ним будет
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Created
Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
Crypto & trading — 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 10 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 0 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 21 comparable posts for this entry, running 3 July 2026 to 7 August 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 @TON_ins_ru — 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 8 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.
8 measurements spanning 7 days, net -76. 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 20,620–20,718 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 14:56
20,631
-8
13 Aug 2026, 06:56
20,639
-15
12 Aug 2026, 07:26
20,654
-16
11 Aug 2026, 08:22
20,670
-8
10 Aug 2026, 10:11
20,678
-15
9 Aug 2026, 11:31
20,693
-7
8 Aug 2026, 09:52
20,700
-7
7 Aug 2026, 13:00
20,707
first reading
Engagement
26 posts held, back to 3 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 19 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
2.08%
avg views ÷ 20,631 subscribers
Avg views / post
430
19 posts measured
Reaction rate
0.848%
reactions ÷ views · ER floor
Posts in window
19
of 26 held
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 18 of 19 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 14 August 2026
Posts held
26 (3 July 2026 – 14 August 2026)
Views total
8,171
Reactions total
65
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Aug 2026, 19:42 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.
What this channel posts
Photos
633
Videos
55
Links
632
Lifetime counters from Telegram’s own channel header, read 14 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.
Reaction mix
81 reactions across 25 posts, in 16 distinct kinds. The most used accounts for 18.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
15
18.5%
😁
15
18.5%
🔥
13
16.0%
❤
12
14.8%
🤡
7
8.64%
👏
6
7.41%
🤣
3
3.70%
👌
2
2.47%
✍
1
1.23%
🍾
1
1.23%
💯
1
1.23%
😡
1
1.23%
🤔
1
1.23%
🥰
1
1.23%
🥱
1
1.23%
🦄
1
1.23%
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 25 of the 26 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 81reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 3 July 2026 to 14 August 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.
💎 Готовит ли Telegram Gram Wallet к блокировкам?
Разработчик Telegram Desktop Джон Престон опубликовал tproxy-server — экспериментальный Web-прокси для Telegram. Он говорит, что это лишь доказательство концепции, но идея читается легко: сделать трафик Telegram похожим на обычный HTTPS-трафик, сохранив под ним логику MTProxy.
❗️Что изменилось:
Опубликован экспериментальный Web-прокси для Telegram — tproxy-server
· …
💎 TON готовится к реальной нагрузке
Обновление 2026.07 исправило проблемы, вызванные предыдущей версией, и TON Core уже готовит следующий шаг.
17 августа выходит апдейт 2026.08, который разделит функции валидаторов и коллаторов. Это архитектурное изменение готовилось около года и напрямую связано с запуском нативного Gram Wallet внутри Telegram.
⚠️Основная цель
— подготовить сеть к нагрузке, которую может создать м…
💎 Telegram запускает второй челлендж
Telegram Messenger анонсировал новый челлендж — на этот раз для Mini Apps. Разработчикам нужно показать своё приложение, объяснить, почему оно полезно, и прикрепить ссылку t.me, чтобы люди могли его открыть.
✅ Что изменилось:
· Telegram запустил второй челлендж после кампании IRL Moderation
· На этот раз он посвящён Mini Apps
· Участники должны быть разработчиками
· Нужно объясн…
✈️ Telegram просит пользователей модерировать офлайн
Telegram Messenger запустил челлендж «IRL Moderation». Задача простая: сделать полезное дело в своём районе — убрать парк, помочь соседу с газоном или другое доброе дело — и выложить фото «до» и «после».
❗️ Что изменилось:
· Telegram анонсировал новый челлендж «IRL Moderation»
· Участникам нужно совершить доброе дело в реальном мире
· Результат показать на фото «…
💎GRAM потерял 59% валидаторов за 24 часа
Количество валидаторов GRAM сократилось на 59% за последние сутки. Для сети, которая продолжает делать ставку на надёжность, децентрализацию и инфраструктуру масштаба Telegram, это не совсем тот график, который хочется показывать.
🔝 Что произошло:
GRAM потерял 59% валидаторов за один день
· Набор валидаторов резко сократился за очень короткий период
· Это немедленно поднимае…
💎 AlphaTON стал Alpha Compute
Alpha Compute Corp, бывшая AlphaTON Capital Corp, полностью отходит от модели накопления активов TON. Компания закрыла старый формат токен-казначейства и теперь позиционирует себя как игрока в сфере AI-вычислительной инфраструктуры.
⚠️ Что изменилось:
· Alpha Compute завершила свёртывание своего прежнего казначейства цифровых активов
· Финальный транш TON/GRAM на сумму около $6 млн был…
🫡 TON Foundation перевела как минимум $4.66M в RSquad
Исследователь Rivol выяснил, что TON Foundation перевела как минимум $4.66M компании RSquad в период с января 2025 по июнь 2026 года. Паттерн повторялся трижды: проект проваливался или замораживался, и та же команда получала следующий контракт.
🔥Что произошло:
TON BTC Teleport не вышел из тестнета
· После этого появился TON Pay, который перестал получать обновле…
💎 Ноткойнер похоронил мемкоины TON
📌 Суть:
Sasha SquarePants (из Notcoin) заявил, что почти все мемкоины на TON мертвы.
· Оставшиеся существуют за счёт искусственных объёмов и схем pump-and-dump.
· После этого ему напомнили про Notcap и стикеры — он объяснил уход из чата тем, что его «тегали без уважения».
⚠️ Почему это важно:
· Первая волна хайпа мемкоинов на TON прошла.
· Ликвидность истощается, накрученные объё…
💎 Новый сетевой уровень TON не совсем сработал
После обновления 2026.06 от 22 июля некоторые валидаторы TON начали работать медленнее. Генерация блоков снизилась с 2.47 до 2.30 блоков в секунду, а задержки в сети возросли.
🔝 Что изменилось
⚪️ Часть валидаторов столкнулась с проблемами производительности после обновления 2026.06
⚪️Скорость блоков упала с 2.47 до 2.30 блоков в секунду
⚪️ Задержки в сети увеличились
…
💎 GRAM Wallet заходит прямо в Telegram
В бете iOS 12.9.3 заметили интеграцию GRAM Wallet напрямую в клиент Telegram. Теперь это уже не мини-апп сбоку, а кошелёк внутри самого мессенджера — то есть TON всё глубже встраивают в базовый пользовательский опыт Telegram.
🔝 Что изменилось
⚫️ GRAM Wallet появился в бете Telegram для iOS 12.9.3
⚫️ Интеграция идёт прямо в клиент, а не через отдельный мини-апп
⚫️ Ранее Дуров …
💎 Дурова внесли в перечень Росфинмониторинга
Павла Дурова внесли в российский перечень террористов и экстремистов. Это продолжение дела вокруг Telegram-бота «Дайвинчик», из-за которого российские силовики ранее объявили основателя Telegram в международный розыск.
Для Telegram это уже не просто спор о модерации, а персональное давление на Дурова. Для TON — формально не прямой удар, но рынок такие новости всё равно ч…
💎 ФСБ объявила Дурова в международный розыск
ФСБ заявила, что Павлу Дурову предъявлено обвинение в содействии террористической деятельности. Поводом стал Telegram-бот знакомств «Дайвинчик», который, по версии ведомства, использовали украинские спецслужбы для вербовки молодых россиян.
🔝 Что изменилось
⚫️ Дурову предъявлено обвинение по ч. 1.1 ст. 205.1 УК РФ
⚫️ ФСБ объявила его в международный розыск
⚫️ Ведомство с…
🤡3🍾1😁1
Showing the 12 most recent of 26 posts we hold for @TON_ins_ru. 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 — 308,605 of 1,345,403entries 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.
Mentions
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.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“TON Инсайдер” (@TON_ins_ru), 20,631 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/TON_ins_ru.
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.