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Channel

TONOTEKA

@tonoteka

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

8,220subscribers

-953 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001245954377
TypeChannel
Username@tonoteka
DescriptionАналитика, обзоры и личный опыт участия в проектах экосистемы TON. С 2022 года вместе с вами исследую мир NFT, GameFi и Defi на блокчейне The Open Network. Реклама на канале не продается Автор: @alex120955, TON-энтузиаст и NFT-коллекционер
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/tonoteka

Topic

Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 58% 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 the other topics.

Growth

8,2209,1738,696.56 August 2026 — 9,173 subscribers6 August 2026 — 9,173 subscribers6 August 2026 — 9,171 subscribers9 August 2026 — 9,129 subscribers12 August 2026 — 9,102 subscribers16 August 2026 — 9,070 subscribers19 August 2026 — 9,038 subscribers23 August 2026 — 9,000 subscribers26 August 2026 — 8,962 subscribers28 August 2026 — 8,936 subscribers31 August 2026 — 8,903 subscribers3 September 2026 — 8,859 subscribers9 September 2026 — 8,803 subscribers13 September 2026 — 8,770 subscribers18 September 2026 — 8,721 subscribers26 September 2026 — 8,663 subscribers5 October 2026 — 8,584 subscribers12 October 2026 — 8,512 subscribers15 October 2026 — 8,479 subscribers18 October 2026 — 8,439 subscribers21 October 2026 — 8,410 subscribers25 October 2026 — 8,374 subscribers28 October 2026 — 8,351 subscribers31 October 2026 — 8,318 subscribers3 November 2026 — 8,288 subscribers6 November 2026 — 8,248 subscribers10 November 2026 — 8,220 subscribers6 August 202610 November 2026
27 measurements spanning 96 days, net -953. 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 8,077–9,316 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
10 Nov 2026, 08:118,220-28
6 Nov 2026, 17:388,248-40
3 Nov 2026, 09:108,288-30
31 Oct 2026, 11:168,318-33
28 Oct 2026, 12:568,351-23
25 Oct 2026, 06:568,374-36
21 Oct 2026, 21:558,410-29
18 Oct 2026, 22:108,439-40
15 Oct 2026, 14:008,479-33
12 Oct 2026, 06:568,512-72
5 Oct 2026, 09:568,584-79
26 Sept 2026, 21:408,663-58
18 Sept 2026, 03:198,721-49
13 Sept 2026, 13:398,770-33
9 Sept 2026, 09:578,803-56
3 Sept 2026, 21:168,859-44
31 Aug 2026, 18:048,903-33
28 Aug 2026, 23:348,936-26
26 Aug 2026, 09:378,962-38
23 Aug 2026, 05:299,000first reading

Engagement

20 posts held, back to 16 November 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 49 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.18%
avg views ÷ 8,220 subscribers
Avg views / post
97.0
1 post measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
1
of 20 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held20 (16 November 2024 – 11 November 2026)
Views total97
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 01:25 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
235
Videos
6
Links
307

Lifetime counters from Telegram’s own channel header, read 12 November 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.

Video runtime
30s
Average length
10s

Measured directly from 3 videos 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

158 reactions across 15 posts, in 11 distinct kinds. The most used accounts for 25.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4025.3%
❤3320.9%
🔥3320.9%
😁2314.6%
🎉127.59%
🤝53.16%
👎42.53%
💯42.53%
🕊21.27%
⚡10.633%
🤡10.633%

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 16 of the 20 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 158 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 16 November 2024 to 11 November 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.

Telegram Stars

Stars received
29
across the posts below
Posts paid on
3
of 20 we hold a reading for · 15%
Most on one post
23
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tonoteka. 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 20 most recent posts we hold for this entry, published 16 November 2024 to 11 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 1 post held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 05:27 UTC97 viewsread 12 November 2026

ТОНны кринжа от Дурова 😎 Всё утро просмеялся, читая реакцию инфлов на ночной перформанс Дурова. С такой подачи и ракурса действительно очень смешно. Однако пришло и понимание, что пирог этот многослойный. Кринж ли это от Дурова? Да. Понимает ли он это? Конечно, да. После двух лет падающего курса TON/GRAM любые потуги (трёхдневная MTONGA в мае не в счёт) развернуть эту лодку будут встречены насмешками тех, кто давно…

24 Jan 2025, 07:59 UTC≈2,610 views39 reactionsread 12 November 2026

Три вещи, которые я бы пожелал себе 3 года назад: 1. Не быть слишком оптимистичным 2. Не холдить токены проектов 3. Купить номера на всю котлету

🔥20😁9👍7❤3

24 Jan 2025, 07:34 UTC≈2,500 views24 reactionsread 12 November 2026
Video

Исполнилось 3 года, как я пришёл в TON

🎉12🤝5😁5❤1👎1

20 Jan 2025, 06:00 UTC≈2,350 views24 reactions4 Starsread 12 November 2026

Ноль FOMO 😌 Не разделяю расстроенные чувства тех, кто не успел вовремя взять токен от вновь избранного американского президента. Сам его не покупал и не планирую. Отсуствие FOMO из-за этого по единственной причине: я уделял ноль внимания экосистеме SOLANA, да и всем остальным. Три года я полностью сосредоточен на TON, поэтому из-за взлётов и падений в других сетях не переживаю. Пропустить что-то подобное в TON — в…

👍11❤5💯4👎3😁1

28 Dec 2024, 08:57 UTC≈1,780 views1 reactionsread 12 November 2026
Photo

Улучшение маршрутизации 💱 DEX-биржа TONCO, работающая по модели концентрированной ликвидности (CLAMM), интегрирована в DEX-агрегаторы swap.coffee и rainbow.swap. Хорошая новость, ведь чем больше количество возможных маршрутов, тем выгоднее может быть курс. Особенно если обменивается крупная сумма. Например, при обмене TON на USDT иногда можно увидеть, что операция идёт сразу по 4 маршрутам: 🟢DeDust 🟢StonFi v2 🟢St…

❤1

27 Dec 2024, 07:47 UTC≈1,160 viewsread 12 November 2026
Photo

Снежинки на swap.coffee ❄️ В честь новогодних праздников на swap.coffee идёт интересная активность. При обменах за каждые $100 объёма на экране появляется 1 снежинка. Её нужно успеть поймать — счётчик снежинок появился рядом с адресом кошелька. Если обмен > $300, то будет 3 снежинки сразу (на скрине третья снежинка не попала в кадр) и т.д. По итогам ивента 10 пользователей, набравших больше всех снежинок, получат п…

26 Dec 2024, 09:43 UTC≈1,010 views2 reactionsread 12 November 2026
Photo

Ваши итоги года в сети TON 🗓 Вчера Ton Community представило бота, который формирует персональный отчёт за 2024 год через анализ кошелька. В стиле, как это делает Кинопоиск или Яндекс.Музыка. Смотреть такие итоги всегда интересно, а тем более в той сфере, которой ты реально уделил много времени. Я получил два статуса: ✅ TON-активист и ✅ Дроп хантер. Всё по делу: активностей было много и вкусных дропов тоже. В неко…

🔥2

23 Dec 2024, 19:01 UTC≈1,010 views7 reactionsread 12 November 2026
Photo

7 сезон Открытой лиги. Итоги ❄️ На сайте society.ton.org обновилась таблица участников с итоговыми значениями дропа. Я занял 35 место с 28690 очками, за что полагается $1000 призовых. Несколько инсайтов 💡 для вас: 🟢Можно подумать, что я влил много ликвидности в протоколы TON, чтобы подняться так высоко, но нет. В ликвидность я вообще ничего не вкладывал. Все очки набраны только лишь благодаря торговым объёмам на D…

❤7

9 Dec 2024, 04:42 UTC≈1,190 views8 reactionsread 12 November 2026
Video

Когда через полгода вдруг задумался о дропе за свои SBT 😁 Но кажется эту машину уже не остановить... @tonoteka

😁8

8 Dec 2024, 05:39 UTC≈1,150 views8 reactionsread 12 November 2026
Photo

Cобрал 500 SBT ✔️ Ранее я уже писал про SBT-хантинг и зачем пользователи охотятся за этим видом NFT. С тех пор общий смысл не поменялся, но появились дополнительные детали. На сайте TON Society есть отдельный лидерборд Badges для обладателей SBT. Сейчас пользователи набирают очки для дропа в Открытой Лиге, а параллельно можно собирать SBT. За них также обещали 🪙 дроп весной 2025 года. Но теперь ещё один дополните…

🔥4❤2🕊2

6 Dec 2024, 05:12 UTC969 views23 reactions2 Starsread 12 November 2026
Photo

Не парюсь из-за потерь 😎 Один из главных навыков, которым учит крипта, это спокойно относиться к потере своих средств. Когда начинаешь вкладывать во что-то деньги, то на своём опыте узнаёшь, такие слова как скам, дамп, рагпул, ханипот и прочее. Каким бы умным и осторожным ты не был, это тебя не убережёт. И первый опыт получается весьма 🔴болезненным. Ты жалеешь и переживаешь, что буквально только что эти средства у…

👍10❤6🔥5⚡1🤡1

5 Dec 2024, 10:15 UTC934 views1 reactionsread 12 November 2026
Photo

swap.coffee — множитель дропов 💎 К концу года активности в экосистеме TON достигли своего пика. Тут и Мемландия, и Открытая Лига и много чего ещё. Возможно не все смекнули, что многое из этого пересекается между собой. И делая одно действие можно фармить множество наград. Расскажу как обмануть ракетку 🚀 на примере swap.coffee. В качестве действия — обмен жетонов на DEX-агрегаторе. 1️⃣ За каждые $20 торгового объём…

❤1

Showing the 12 most recent of 20 posts we hold for @tonoteka. 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.

Mentions

Named by 2 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.

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.

Fakhruz
@FakhruzTon · 20,170
Telegram ranks this channel #34 of 82 here — alongside 81 others — read 21 September 2026
We TON
@weton · 19,602
Telegram ranks this channel #50 of 87 here — alongside 86 others — read 27 September 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“TONOTEKA” (@tonoteka), 8,220 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/tonoteka.

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.