Официальный канал культового журнала ForkLog.
С 2014 года документируем развитие биткоина, искусственного интеллекта, квантовых технологий и других систем, определяющих развитие цивилизации.
Реклама на ForkLog: https://forklog.com/advertisement/
Created
24 September 2015 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Technology — 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 39% 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 2 other registered channels. They sit inside a group of 377 channels that share the same post bodies with each other. 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 (6 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 6 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 13,936 comparable posts for this entry, running 10 June 2023 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 377, the earliest publisher we hold is @mash. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · 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 376 other registered channels, 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.
326 more channels are in this same group but not listed individually here.
Growth
35 measurements spanning 59 days, net -1,021. 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 91,915–93,417 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
3 Oct 2026, 19:59
92,088
-145
24 Sept 2026, 23:37
92,233
-112
18 Sept 2026, 15:41
92,345
-65
16 Sept 2026, 04:41
92,410
-39
14 Sept 2026, 11:21
92,449
-35
12 Sept 2026, 20:40
92,484
-95
10 Sept 2026, 18:56
92,579
-82
7 Sept 2026, 15:21
92,661
-44
4 Sept 2026, 17:20
92,705
+7
3 Sept 2026, 00:26
92,698
-17
1 Sept 2026, 22:26
92,715
-36
31 Aug 2026, 23:47
92,751
-25
30 Aug 2026, 19:54
92,776
-29
29 Aug 2026, 19:33
92,805
-19
28 Aug 2026, 22:17
92,824
-33
27 Aug 2026, 23:17
92,857
-17
26 Aug 2026, 23:36
92,874
-47
25 Aug 2026, 22:23
92,921
-46
24 Aug 2026, 22:58
92,967
-33
23 Aug 2026, 10:12
93,000
first reading
Engagement
17,332 posts held, back to 10 June 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1,046 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.30%
avg views ÷ 92,088 subscribers
Avg views / post
5,800
414 posts measured
Reaction rate
0.497%
reactions ÷ views · ER floor
Posts in window
414
of 17,332 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
Window
Rolling 30 days · latest post in window 6 October 2026
Posts held
17,332 (10 June 2023 – 6 October 2026)
Views total
2,401,670
Reactions total
11,931
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Oct 2026, 01:16 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
≈21,900
Videos
≈413
Links
≈37,700
Lifetime counters from Telegram’s own channel header, read 7 October 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
8m 05s
Average length
23s
Measured directly from 21 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
24,332 reactions across 819 posts, in 21 distinct kinds. The most used accounts for 21.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
5,141
21.1%
❤
3,894
16.0%
👍
3,616
14.9%
👀
2,643
10.9%
🍌
1,764
7.25%
🔥
1,216
5.00%
🎉
811
3.33%
🤬
781
3.21%
custom 5348492648808206942
596
2.45%
🗿
577
2.37%
😨
528
2.17%
😭
523
2.15%
🍓
512
2.10%
🍾
495
2.03%
⚡
428
1.76%
🦄
264
1.08%
🤩
171
0.703%
👾
162
0.666%
☃
107
0.44%
🏆
59
0.242%
1 further kind
44
0.181%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 999 of the 1,000 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 29,353 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 22 July 2026 to 6 October 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
109
across the posts below
Posts paid on
92
of 1,000 we hold a reading for · 9%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @forklog. 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 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 22 July 2026 to 6 October 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.
📎 Безопасность или олигополия: зачем лидеры ИИ хотят замедлить гонку
💸 Биткоин встретил годовщину ATH на 32% ниже рекорда
💬 Рэй Далио дал США три года до долгового кризиса
🛠 Prysm обновили перед тестом лимита газа в 200 млн
🇺🇸 FinCEN отозвала предложения по некастодиальным кошелькам и криптомиксерам
🇰🇵 ZachXBT раскрыл схему отмывания средств для Lazarus
🔮 Polymarket начала переход на собственную архитектуру Pro…
🧠 Mistral AI выпустила модель на 1 трлн параметров
Французская Mistral представила Mistral Large 4 — мультимодальную модель с 1,05 трлн параметров, из которых 49 млрд активны при обработке запроса. Контекстное окно достигает 1 млн токенов.
Модель ориентирована на программирование, кибербезопасность, финансы, производство и работу с изображениями. Mistral заявляет, что Large 4 конкурирует с ведущими китайскими open-…
🔹 Glamsterdam активирован в Ethereum-тестнете Sepolia
Разработчики развернули апгрейд Glamsterdam в тестовой сети Sepolia. Это важный этап подготовки масштабного обновления, которое должно повысить пропускную способность сети.
В Glamsterdam появятся ePBS, списки доступа на уровне блоков и изменения газовой модели. В рамках теста лимит газа в Sepolia увеличивается примерно с 60 млн до 200 млн — более чем втрое.
Сле…
📎 ИИ-гиганты предлагают притормозить гонку ради безопасности. Но кто решит, когда модель становится слишком опасной — и кому достанется право устанавливать правила, по которым конкуренты должны остановиться?
Anthropic называет Accenture независимым оценщиком, хотя сама оплачивает его работу. Тем временем компании наращивают вычислительные мощности и поддерживают правила, которые потенциально могут укрепить позиции у…
⛏ Fortitude вложит $100 млн в майнеры Zcash от Bitmain
Fortitude подписала с Bitmain необязывающее соглашение о покупке майнеров нового поколения для добычи Zcash (ZEC) на сумму до $100 млн. Компания получит приоритетный доступ к оборудованию, которое еще не вышло на коммерческий рынок, а поставки ожидаются во II квартале 2027 года.
👉 Полную подборку коротких новостей публикуем в отдельном канале ForkLog FEED и в р…
🕵️♂️ ZachXBT в тылу у неприятеля
Ончейн-детектив ZachXBT более года выдавал себя за клиента китайской группировки, которая, по его данным, отмыла более $1 млрд для северокорейской
Lazarus Group.
Он внес $349 700 собственных средств и соглашался терять около 5% на каждой операции, чтобы войти в доверие к одному из участников схемы. В итоге расследование помогло отследить более $12 млн из средств, связанных со взлом…
🎤 Правила для криптобизнеса обсудят с теми, кто их пишет
12 ноября в московском Кибердоме представители власти, банков, финтеха и криптоиндустрии соберутся на конференции ЦИФКОМ26. Они обсудят регулирование криптовалют, ЦФА и стейблкоинов.
С 5 октября действуют утвержденные Банком России правила, по которым криптообменники и цифровые депозитарии попадают в официальные реестры. Как работать в новых условиях, разберу…
💸 Год после ATH: биткоин все еще на 32% ниже рекорда
6 октября 2025 года биткоин установил исторический максимум выше $126 000. Спустя 12 месяцев актив торгуется около $86 000. За это время криптовалюта успела рухнуть ниже $59 000, а затем восстановиться почти на 49%.
При этом рынок сегодня выглядит иначе: кредитное плечо заметно умереннее, а спотовые покупатели снова активны. Но притоки в ETF замедлились, а высоки…
🤖 Binance представила ИИ-инструменты для трейдеров и разработчиков
Линейка Binance Intelligence включает три продукта, их показали на трансляции 5 октября:
• Binance AI — бесплатный ассистент в приложении: подбирает обзоры рынка под портфель пользователя и голосовым звонком сообщает, что цена дошла до цели;
• Binance AI Pro — торговые сценарии по текстовому запросу, без кода, с проверкой в тестовом режиме;
• Binanc…
💸 Три года до долгового кризиса в США
По оценке Рэя Далио, страна ежегодно тратит около $7 трлн при доходах в $5 трлн, а обслуживание долга забирает все большую долю поступлений.
Дополнительное давление создают иностранные держатели гособлигаций: Китай сокращает вложения, а Япония стремится вернуть часть капитала домой.
Что, по мнению Далио, произойдет с экономикой при дальнейшем росте ставок:
👉 Подробнее
Новост…
🔓 FinCEN отказалась от двух спорных криптоправил
Ведомство отозвало предложения по отчетности для переводов с некастодиальными кошельками и отдельному режиму для операций с микшированием. Оба проекта так и не вступили в силу.
Первый предусматривал дополнительные требования для операций от $3000 и $10 000. Второй мог охватить широкий набор практик, затрудняющих отслеживание транзакций.
👉 Подробнее
Новости | AI | Y…
👍6❤2🎉2🍌1🍓1🍾1
Showing the 12 most recent of 17,332 posts we hold for @forklog. 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.
Posts edited after publishing
@forklog edited 11 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
8 August 2026
Most recent edit
30 September 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 69 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 45 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.
Handles this channel named that no longer answer
Dead references
9
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
8
vacant every time we have ever looked
@forklog named 9 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@dzengicom named in 1 post, 8 August 2026 – 8 August 2026 · confirmed gone 10 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@worldexchangeru named in 2 posts, 8 August 2026 – 8 August 2026
@nettexx_com named in 2 posts, 8 August 2026 – 8 August 2026
@grandcombat_bot named in 1 post, 8 August 2026 – 8 August 2026
@ksolovyeva_rusir named in 1 post, 8 August 2026 – 8 August 2026
@exmo_me_rbk named in 1 post, 8 August 2026 – 8 August 2026
@pavel named in 1 post, 8 August 2026 – 8 August 2026
@versuz_news named in 1 post, 8 August 2026 – 8 August 2026
@grandcombat named in 1 post, 8 August 2026 – 8 August 2026
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 16 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.
Криптовалюты @cryptoc · 19,981 Telegram ranks this channel #2 of 88 here — alongside 87 others — read 19 September 2026
КриптоСаня @sanyaizdagestana · 31,582 Telegram ranks this channel #2 of 93 here — alongside 92 others — read 5 September 2026
Binance Новости @binance_ru · 96,109 Telegram ranks this channel #2 of 96 here — alongside 95 others — read 16 August 2026
Crypto-Крипта | Новости, прогнозы и аналитика @Proffit_crypto · 69,795 Telegram ranks this channel #3 of 91 here — alongside 90 others — read 22 August 2026
10 долларов Баффетта @buff_10 · 59,849 Telegram ranks this channel #3 of 95 here — alongside 94 others — read 22 August 2026
Криптопатолог | Новости | Инвестиции @criptopatolog · 80,062 Telegram ranks this channel #3 of 95 here — alongside 94 others — read 18 August 2026
РБК Крипто @RBCCrypto · 132,083 Telegram ranks this channel #3 of 93 here — alongside 92 others — read 13 August 2026
ФинТех|Обмен валют @FinTechExchange1 · 24,181 Telegram ranks this channel #4 of 32 here — alongside 31 others — read 17 September 2026
Invest Network | Криптоновости @investnetworkai1 · 51,066 Telegram ranks this channel #4 of 85 here — alongside 84 others — read 22 August 2026
Ethereum, Биткоин, Блокчейн @EthereumIC · 24,171 Telegram ranks this channel #5 of 84 here — alongside 83 others — read 3 October 2026
Bitpapa Media @bitpapa_io · 104,264 Telegram ranks this channel #6 of 47 here — alongside 46 others — read 21 September 2026
Крипто сливы @otdyshiprocrypto · 22,677 Telegram ranks this channel #6 of 89 here — alongside 88 others — read 20 September 2026
CryptoPizza News @cryptopizza_news · 27,755 Telegram ranks this channel #6 of 83 here — alongside 82 others — read 10 September 2026
CRYPTO SEKTA | Биткоин и криптовалюта @crypto_sekta · 143,408 Telegram ranks this channel #6 of 86 here — alongside 85 others — read 15 August 2026
Копеечка в кошельке @kopeechkav · 55,197 Telegram ranks this channel #7 of 95 here — alongside 94 others — read 23 August 2026
Gennady M @gen_m · 66,975 Telegram ranks this channel #7 of 97 here — alongside 96 others — read 21 August 2026
Web3 на доступном @nft_reality · 77,901 Telegram ranks this channel #7 of 95 here — alongside 94 others — read 19 August 2026
Bitpapa @Bitpapa_bot_com · 61,353 Telegram ranks this channel #8 of 41 here — alongside 40 others — read 24 August 2026
Кошелек с Биткоинами | Алексей Чечукевич @wallet_with_bitcoins · 86,485 Telegram ranks this channel #8 of 95 here — alongside 94 others — read 17 August 2026
DeCenter — блокчейн, биткоин, инвестиции @DeCenter · 1,765,524 Telegram ranks this channel #8 of 88 here — alongside 87 others — read 7 August 2026
Crypto Daily – биткоин, криптовалюта @cryptodaily · 85,218 Telegram ranks this channel #9 of 93 here — alongside 92 others — read 18 August 2026
Крипто HeadHunter | WEB 3 Jobs @cryptoheadhunter · 20,425 Telegram ranks this channel #10 of 82 here — alongside 81 others — read 28 September 2026
Crypto Информатор @cryptoinform · 20,457 Telegram ranks this channel #10 of 81 here — alongside 80 others — read 26 September 2026
Prometheus 🔥 Биткоин и криптовалюты @prometheus · 39,440 Telegram ranks this channel #10 of 91 here — alongside 90 others — read 30 August 2026
This channel appears in 174 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
13 domains this 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.
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
ForkLog(ru.wikipedia.org) “…com/}}
* [https://www.youtube.com/c/forklog YouTube-канал проекта]
* [https://t.me/forklog Основной Telegram-канал]
{{Внешние ссылки}}
[[Категория:Сетевые…” read 13 September 2026
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 3 October 2026 — this
entry's latest reading, not the date you are reading this.
“ForkLog” (@forklog), 92,088 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/forklog.
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.