По вопросам взаимодействия - @unchase
Авторский канал|Nomis / Aura co-founder | InfLake / Firewire / Omnipayer / DeWiki founder | TechLead and crypto/AI researcher.
P.S. Any information I provide here is not a financial or any other advise.
Created
Between 1 November 2023 and 31 May 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
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 in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. 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 (1 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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. 2 of the 2 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 540 comparable posts for this entry, running 19 June 2026 to 10 November 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).
Of the group of 2 channels, the one whose matching posts we hold earliest is @inflake_ann. That is a statement about our reading window, not a claim of authorship.
Views per post sit far below this size band
67.9 average views per post against 248,205 subscribers — an engagement rate of 0.027%. Across the 2,340 registered channels in the same cohort — 100,022–316,171 subscribers, posting mainly in Russian — the middle half sit between 4.39% and 20.6%, with a median of 9.80%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
309 of 411 published in the window (309 exact, 0 rounded by Telegram)
Views totalled
20,970
Mature posts only
0.032% over 122 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the keys clone_copy · err_low, last confirmed 11 November 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.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
64 measurements spanning 97 days, net -42,125. 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 239,203–293,966 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
10 Nov 2026, 20:44
245,522
-562
9 Nov 2026, 06:46
246,084
-643
7 Nov 2026, 20:49
246,727
-515
6 Nov 2026, 19:57
247,242
-331
5 Nov 2026, 21:28
247,573
-632
4 Nov 2026, 18:30
248,205
-426
3 Nov 2026, 15:19
248,631
-381
2 Nov 2026, 15:16
249,012
-485
1 Nov 2026, 13:11
249,497
-479
31 Oct 2026, 10:06
249,976
-626
30 Oct 2026, 11:06
250,602
-365
29 Oct 2026, 13:58
250,967
-449
28 Oct 2026, 09:36
251,416
-551
27 Oct 2026, 05:56
251,967
-499
26 Oct 2026, 03:05
252,466
-233
25 Oct 2026, 01:47
252,699
-451
24 Oct 2026, 02:28
253,150
-282
23 Oct 2026, 05:58
253,432
-782
22 Oct 2026, 03:37
254,214
-399
21 Oct 2026, 00:26
254,613
first reading
Engagement
797 posts held, back to 13 June 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 197 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.025%
avg views ÷ 245,522 subscribers
Avg views / post
61.3
369 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
443
of 797 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 11 November 2026
Posts held
797 (13 June 2026 – 11 November 2026)
Views total
22,630
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 14:08 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
≈1,830
Videos
≈178
Links
≈1,620
Lifetime counters from Telegram’s own channel header, read 11 November 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
1h 41m
Average length
53s
Measured directly from 115 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.
Recent posts
Telegram’s own ‘edited’ marker: 13 of 443 posts held from the last 30 days (2.93%) 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).
Anthropic обновила правила для Claude 😬
По данным источника, под блокировку может попасть аккаунт из разрешённой страны, если работодатель находится в неподдерживаемой.
Anthropic называет обновление уточнением политики, а среди мер упоминает предупреждение и ограничения доступа.
В виджетах для ботов Telegram, по сообщению источника, нашли критическую уязвимость 🛡️
Утверждается, что через неё можно взломать смартфон на Android и запустить вредоносное ПО. Технического отчёта или официального подтверждения найти не удалось.
Пока лучше воздержаться от использования ботов с виджетами 😬
Книгу по геометрическому глубокому обучению уже можно почитать: на сайте проекта доступны все главы 🎁
Петар Величкович из Google DeepMind сообщил, что работа над полным черновиком закончена. В 2026 году книгу планирует издать MIT Press, а черновик обещают сохранить в открытом доступе.
В каком месяце вы отдали брокеру больше всего комиссий?
🧾 В «Отчётах» не нужно искать глазами: нажмите на заголовок колонки «Комиссии» — таблица отсортируется по ней, повторное нажатие меняет направление (▲ / ▼). Так работает любая колонка: «Купоны», «Дивиденды», «Налоги», «Оборот», «Прибыль». По умолчанию сверху самые свежие периоды.
Что ещё есть на панели над таблицей:
• «Счёт» — при открытии подставляется счёт …
Для локального запуска нашлась Qwen3.5–9B с ослабленными ограничениями 🧑💻
Модель дообучили на примерах от DeepSeek-V4-Pro. По тесту издателя версии Heretic, она отказалась отвечать на 3 запроса из 100.
Для запуска понадобится Ollama и команда из описания модели. Файл Q4_K_M занимает 5,63 ГБ на диске — для работы потребуется дополнительная оперативная память 😅
Для Blender нейронка Claude Fable 5.2 написала скрипт на Python и с его помощью собрала видео с нуля 🔥
Кажется, до создания целых фильмов с CG за несколько тысяч долларов осталось недолго 🤔
У Meta* появилась Spaces — функция в Muse для создания приложений по текстовому запросу 🧑💻
Описываете идею, а ИИ собирает интерфейс, логику и подключения к другим сервисам. Можно попросить трекер заказов для фриланса или планировщик поездки с картами и бюджетом.
В подборке примеров есть инструменты для личных дел и бизнеса: календарь, который разбирает письма родителей и переносит события в Google Calendar, панель…
Получили купон в долларах год назад. По какому курсу он попадёт в отчёт?
💵 По курсу на дату выплаты. В разделе «Отчёты» все суммы в рублях: купоны, дивиденды, комиссии и оборот в долларах, евро и юанях Firewire переводит по официальному курсу ЦБ на дату операции. В выходные и праздники берётся последний курс до этой даты, а если исторического курса не нашлось — текущий.
Ещё три оговорки:
• «Прибыль» — переоценка о…
Если вы отвечаете за AI, HR, Кибербезопасность или IT — TOP AI стоит поставить в календарь.
Конференция для CIO, CTO, CDTO, CAIO, HR, CISO, Data-директоров, бизнес-заказчиков, AI-вендоров и интеграторов.
В фокусе — реальные задачи Enterprise, кейсы внедрения AI, выбор решений и прямой контакт заказчиков с технологическими компаниями.
В деловой программе уже подтверждены: Александр Шойтов (Министерство цифрового ра…
Anthropic выпустила гайд по промптам для Fable 5.2 🧑💻
Компания советует подбирать уровень рассуждений под задачу: low для простых запросов, medium для повседневной разработки, high для сложного кода и исследований, а xhigh и max для самых трудных задач.
Ещё в системном промпте рекомендуют прописать, что агент должен доводить работу до конца. Фраза «This codebase is yours» повышает вероятность, что модель объединит…
Излучение HDMI-кабеля можно перехватить и восстановить по нему изображение с монитора 🕵️
Для этого исследователи использовали антенну, радиоприёмник, усилитель и компьютер. Доступ к самому компьютеру, паролям и Wi-Fi при этом не нужен.
Код проекта Deep-TEMPEST лежит на GitHub. Нейросеть помогает восстановить даже текст, хотя ошибки всё ещё остаются 😬
Почему в строке «Итого» стоимость портфеля не равна сумме строк?
🧾 Потому что стоимость — это остаток на дату, а не поток. В разделе «Отчёты» строка «Итого» считает колонки по-разному:
• «Прибыль», «Купоны», «Дивиденды», «Комиссии», «Налоги» и «Оборот» складываются;
• «Стоимость» берётся на конец последнего видимого периода.
В демо-отчёте за октябрь 2025 — сентябрь 2026 в «Итого» стоит 2 166 363,50 ₽ — ровно стоим…
Showing the 12 most recent of 797 posts we hold for @h2becrypto. 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.
Posts edited after publishing
@h2becrypto edited 8 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
12 August 2026
Most recent edit
28 October 2026
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
Names
Channels on the register whose handles appear in this channel's posts.
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
4
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
3
vacant every time we have ever looked
@h2becrypto named 4 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.
@cryptoactu_fr named in 3 posts, 8 August 2026 – 10 August 2026 · confirmed gone 13 October 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.
@fedyavtone named in 3 posts, 8 August 2026 – 10 August 2026
@integral_investments named in 3 posts, 8 August 2026 – 10 August 2026
@pro100_crypto2 named in 3 posts, 8 August 2026 – 10 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 10 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.
DeBrief | Crypto News @de_brief · 190,673 Telegram ranks this channel #1 of 88 here — alongside 87 others — read 11 August 2026
Naija Profit Zone @Naija_free · 936,053 Telegram ranks this channel #18 of 90 here — alongside 89 others — read 8 August 2026
Airdrop Watchers @AirdropWatchers · 24,076 Telegram ranks this channel #22 of 47 here — alongside 46 others — read 11 September 2026
HODL, FUCK! @hodl_fuck · 97,885 Telegram ranks this channel #24 of 87 here — alongside 86 others — read 14 August 2026
Airdrop ads @AirdropSnoopDogg · 134,431 Telegram ranks this channel #29 of 67 here — alongside 66 others — read 21 August 2026
E-Football Manager News @efootballmanagernews · 19,342 Telegram ranks this channel #30 of 69 here — alongside 68 others — read 28 September 2026
Pumpers.tg @pumpers · 448,944 Telegram ranks this channel #35 of 87 here — alongside 86 others — read 9 August 2026
WordBooX EN @WordBooX · 72,579 Telegram ranks this channel #38 of 85 here — alongside 84 others — read 18 August 2026
✍TRUTH CHANNEL🦅 @recoveryteamchannel · 18,468 Telegram ranks this channel #42 of 50 here — alongside 49 others — read 2 October 2026
Где деньги Криптовски @kriptovsky_drop · 131,256 Telegram ranks this channel #42 of 85 here — alongside 84 others — read 12 August 2026
Careermatters NG (Jobseekers Community) @careermattersng · 21,765 Telegram ranks this channel #43 of 73 here — alongside 72 others — read 23 September 2026
Airdrop Update @sushiswapannounce · 21,340 Telegram ranks this channel #48 of 58 here — alongside 57 others — read 22 September 2026
СкуфиТОН @tonskuf · 110,725 Telegram ranks this channel #48 of 90 here — alongside 89 others — read 13 August 2026
BITTON - Engage. Earn. Scale. @bittonapp · 313,222 Telegram ranks this channel #50 of 86 here — alongside 85 others — read 10 August 2026
Crypto Pulse Nigeria @Crypto_Pulse_Nigeria · 829,244 Telegram ranks this channel #57 of 90 here — alongside 89 others — read 8 August 2026
$PIGGY PROJECT @piggycoinsol · 102,779 Telegram ranks this channel #59 of 68 here — alongside 67 others — read 11 September 2026
Closed @CryptoMillionaireNews · 39,931 Telegram ranks this channel #60 of 84 here — alongside 83 others — read 28 August 2026
PAXGold Channel @PAXGold_Channel · 51,499 Telegram ranks this channel #63 of 85 here — alongside 84 others — read 23 August 2026
New Chain Alpha @NewChainAlpha · 45,988 Telegram ranks this channel #66 of 80 here — alongside 79 others — read 7 September 2026
Banger Crypto Call @solmemecll · 44,834 Telegram ranks this channel #67 of 89 here — alongside 88 others — read 25 August 2026
moonasty @mooon_Nasty · 60,750 Telegram ranks this channel #69 of 76 here — alongside 75 others — read 19 August 2026
bookmaker.XYZ Announcements @xyzbookxyz · 146,375 Telegram ranks this channel #70 of 85 here — alongside 84 others — read 12 August 2026
Airdrop Presents 🗽 @airdrop_Presents · 189,415 Telegram ranks this channel #74 of 82 here — alongside 81 others — read 11 August 2026
Naija Sports Hub @Naija_Sports · 794,057 Telegram ranks this channel #84 of 90 here — alongside 89 others — read 8 August 2026
This channel appears in 25 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
18 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.
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.
“Hard To Be AI” (@h2becrypto), 245,522 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/h2becrypto.
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.