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 20 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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.
Previous handles
Recorded in 2019 as “CryptoEssay” — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.
Growth
36 measurements spanning 57 days, net +127. 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 62,319–62,716 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
2 Oct 2026, 02:38
62,555
-43
18 Sept 2026, 16:21
62,598
-41
16 Sept 2026, 07:00
62,639
+28
14 Sept 2026, 11:59
62,611
-5
12 Sept 2026, 19:19
62,616
+73
10 Sept 2026, 16:59
62,543
+173
7 Sept 2026, 11:37
62,370
-22
4 Sept 2026, 15:19
62,392
+27
3 Sept 2026, 01:03
62,365
-29
1 Sept 2026, 23:14
62,394
-3
1 Sept 2026, 02:26
62,397
-21
31 Aug 2026, 05:04
62,418
-12
30 Aug 2026, 02:23
62,430
-22
29 Aug 2026, 02:34
62,452
-21
28 Aug 2026, 01:45
62,473
-21
27 Aug 2026, 05:07
62,494
-26
26 Aug 2026, 03:43
62,520
-27
25 Aug 2026, 04:07
62,547
-18
24 Aug 2026, 00:58
62,565
-31
22 Aug 2026, 10:14
62,596
first reading
Engagement
117 posts held, back to 28 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 124 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
21.5%
avg views ÷ 62,555 subscribers
Avg views / post
13,400
54 posts measured
Reaction rate
0.838%
reactions ÷ views · ER floor
Posts in window
54
of 117 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 5 October 2026
Posts held
117 (28 July 2026 – 5 October 2026)
Views total
726,160
Reactions total
6,087
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Oct 2026, 16:54 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
≈1,070
Videos
≈269
Links
≈1,460
Lifetime counters from Telegram’s own channel header, read 6 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
28m 55s
Average length
2m 04s
Measured directly from 14 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
12,585 reactions across 117 posts, in 3 distinct kinds. The most used accounts for 51.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
6,537
51.9%
custom 5368635272332352173
3,374
26.8%
custom 5368538154531855717
2,674
21.2%
Custom emoji. 2 of the rows above are 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 counts beside them are 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 117 of the 117 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 12,585 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 117 most recent posts we hold, published 28 July 2026 to 5 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
2,594
across the posts below
Posts paid on
75
of 117 we hold a reading for · 64%
Most on one post
1,000
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @cryptoEssay. 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 117 most recent posts we hold for this entry, published 28 July 2026 to 5 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.
Advertising
Ad load
12.0%
14 of 117 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
10,700
over 14 measured posts
Median views · rest
13,300
over 103 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Measured over the 117 most recent posts we hold, published 28 July 2026 to 5 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Как я работаю с агентами
Каждый мажорный релиз модели (в данном случае Astra и Opus 5.5) меняет возможности моделей, но главный эффект - это меняет КАК и КАКАЯ работа может быть сделана с помощью ИИ.
Помните, на заре этого рынка была такая профессия как промт-инженер. Сегодня, очевидно, это не просто бесполезная, а вредная история (есть пейперы которые доказывают что скилы и длинные промты делают результат ощутимо …
Никто не хочет про это слышать (потому что это не укладывается в их пессимистичную повесточку), но реальный рост рабочих мест от ИИ в США составил больше 500,000 с 2023 года.
Некоторые из них не останутся с нами навсегда (так же сегодня почти нет смысла в профессиях переводчиков, иллюстраторов или операционистов). Например, лейблинг данных был крайне важен, но сегодня реальный спрос либо на роботические данные (коих…
Нобелевеский лауреат по экономике Дарон Ачемоглу (который год назад предсказывал что эффект ИИ на экономику будет около 1%) разразился серией статей и твитов на тему того переживет ли демократия столкновение с ИИ.
Если кратко, он пишет что один из самых недооцененных эффектов AI - не безработица, а концентрация экономической власти. Интеллект становится дешевле и доступнее, но инфраструктура, лучшие модели, капитал …
В какие AI-стартапы больше всего инвестируют?
Захотел разобраться, какие AI-стартапы реально финансируют, и в каких доменах есть рост инвестиции год к году. Сделал так:
1) Открыл Claude
2) Подключил его через MCP к Anysite.io
3) За пару часов сделал разбор 7 740 AI-стартапов по 20 разным юзкейсам, которые они решают (например, voice generation и т.д.)
Самое сочное:
— Anthropic, xAI и Project Prometheus забрали $1…
3. Цели ИИ трансформации меняются.
Если в 2022-2025 годах это в первую очередь были конкретные функциональные KPI, типа «больше правильных ответов поддержки за меньше денег» или «больше принятых в продакшен фич меньшим штатом», то в этом году это сменяется в сторону изменения бизнес-модели.
Компании осознают, что ИИ в первую очередь это не инструмент автоматизации бек-офиса, а инструмент изменения рынка. Причем дос…
Код дешевеет в 100 раз, дистрибуция дорожает в 10
Первая половина этой фразы уже случилась: мультиплеерную игру на Астре собирают за сутки, а релизов в App Store за год стало больше на 50%+. Со второй сложнее, ведь внимания у людей больше не стало, и продукт, до которого никто не дошёл, стоит ровно столько же, сколько теперь его код.
Найти тех, кто заплатит, пробиться к ним через шум и сделать так, чтобы они вернул…
2. С ИИ люди становятся более универсальными.
На графике ниже из исследования OpenAI видно, что по мере использования ИИ люди все чаще начинают выполнять задачи из смежных областей. Например, продажник начинает самостоятельно делать качественные (в разы лучше любого отдела дизайна!) маркетинговые материалы, может проверить на ошибки сложный контракт или написать красивое письмо назнакомом языке.
Исторически, компан…
ИИ не сокращает рабочие места.
Кликбейтные заголовки от «ИИ заменит всех» (что неизбежно) до «ИИ не заменит никого» не рассказывают ничего о реальности.
Я инвестировал в кучу ИИ-нейтив компаний и хочу поделиться несколькими трендами, которые, кажется, подтверждаются исследованиями.
1. Найм растет, но только для сеньорных позиций.
Джуны не нужны никому, поэтому количество начальных позиций в ИТ компаниях сократило…
Завтра, в среду очередной онлайн-воркшоп Building AI-Native Startups.
От фаундеров для тех, кто строит компании, делает AI-native продукты или перестраивает рабочие процессы вокруг AI.
Бесплатно, в лайве, без презентаций и лекций, только практика, никто ничего не продает, никаких спонсоров и курсов.
Три фаундера покажут, как у них устроена работа:
- CEO DoltHub расскажет, как рой агентов за 2000 пул-реквестов соб…
Легендарная штука от Антропика: теперь создание любого приложения или бизнес-процесса это автоматическая оптимизация, а не написание кода промтами.
В ML любая система создается через обозначение количественных метрик (эвалов) и последовательность экспериментов, которые приближают к ним (карабкание по топологическому холму, hillclimb).
Антропик добавил две этих команды (eval и hillclimb) в API Клод-кода, так что теп…
Кто разбогатеет от ИИ?
ИИ, безусловно, увеличивает продуктивность, но он не сделает бедные/отстающие страны и компании автоматически богаче.
Причина очень простая: эффект от зависит от способность эту технологию конвертировать в экономическое преимущество. А это больше про человеческий капитал, чем его замену.
Выиграют от ИИ те страны и те компании, которые наиболее энергичны, адаптивны, мобильны и имеют человечес…
❤101custom 536853815453185571723
Showing the 12 most recent of 117 posts we hold for @cryptoEssay. 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
@cryptoEssay edited 2 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
15 August 2026
Most recent edit
25 September 2026
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Весь интернет завален слухами, что Антропик решил проблему тысячелетия. Верим?
Да, проблема тысячелетия пала26%
Нет, Дарио нанял нового маркетолога34%
ИИ никогда ничего не решит6%
Дайте кейсов как ИИ увеличил прибыль!!!1134%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 117 most recent posts we hold, published 28 July 2026 to 5 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 108 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 72 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 21 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.
Малоизвестное интересное @theworldisnoteasy · 73,916 Telegram ranks this channel #4 of 94 here — alongside 93 others — read 19 August 2026
Бурый @sburyi · 19,350 Telegram ranks this channel #9 of 93 here — alongside 92 others — read 4 October 2026
Все о блокчейн/мозге/space/WEB 3.0 в России и мире @blockchainRF · 20,468 Telegram ranks this channel #10 of 97 here — alongside 96 others — read 27 September 2026
Силиконовый Мешок @prompt_design · 87,459 Telegram ranks this channel #11 of 96 here — alongside 95 others — read 18 August 2026
Квест Теория Каст и Ролей @alexkrol · 18,730 Telegram ranks this channel #12 of 95 here — alongside 94 others — read 5 October 2026
GPT/ChatGPT/AI Central Александра Горного @aioftheday · 44,059 Telegram ranks this channel #14 of 97 here — alongside 96 others — read 29 August 2026
TechSparks @techsparks · 46,661 Telegram ranks this channel #14 of 97 here — alongside 96 others — read 27 August 2026
Matskevich - brains, love and robots @Matskevich · 25,160 Telegram ranks this channel #15 of 98 here — alongside 97 others — read 14 September 2026
эйай ньюз @ai_newz · 97,222 Telegram ranks this channel #15 of 94 here — alongside 93 others — read 16 August 2026
LLM под капотом @llm_under_hood · 29,482 Telegram ranks this channel #16 of 96 here — alongside 95 others — read 9 September 2026
addmeto @addmeto · 71,819 Telegram ranks this channel #21 of 95 here — alongside 94 others — read 20 August 2026
Neural Shit @NeuralShit · 54,321 Telegram ranks this channel #25 of 92 here — alongside 91 others — read 24 August 2026
Denis Sexy IT 🤖 @denissexy · 137,955 Telegram ranks this channel #25 of 95 here — alongside 94 others — read 13 August 2026
Вправо Вверх 📈 Михаил Табунов @bossofyourboss · 27,600 Telegram ranks this channel #27 of 95 here — alongside 94 others — read 10 September 2026
Математик в Лондоне @mathbotan · 26,703 Telegram ranks this channel #29 of 90 here — alongside 89 others — read 11 September 2026
Evening Prophet @eveningprophet · 18,727 Telegram ranks this channel #34 of 94 here — alongside 93 others — read 5 October 2026
IvanovInvest @ivanovinvest_rus · 20,338 Telegram ranks this channel #37 of 87 here — alongside 86 others — read 27 September 2026
Dumik @dumik · 22,166 Telegram ranks this channel #39 of 98 here — alongside 97 others — read 21 September 2026
Метаверсище и ИИще @cgevent · 52,769 Telegram ranks this channel #39 of 92 here — alongside 91 others — read 25 August 2026
Венчур по Понятиям @ventureStuff · 19,482 Telegram ranks this channel #43 of 95 here — alongside 94 others — read 3 October 2026
Ряды Фурье @Fourier_series · 42,392 Telegram ranks this channel #44 of 93 here — alongside 92 others — read 29 August 2026
Русский ИТ бизнес @bezsmuzi · 32,757 Telegram ranks this channel #47 of 99 here — alongside 98 others — read 5 September 2026
Мастриды @mustreads · 45,108 Telegram ranks this channel #47 of 98 here — alongside 97 others — read 27 August 2026
Tech Crunch @techcrunchru · 18,776 Telegram ranks this channel #50 of 95 here — alongside 94 others — read 5 October 2026
This channel appears in 66 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.
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 2 October 2026 — this
entry's latest reading, not the date you are reading this.
“e/acc” (@cryptoEssay), 62,555 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/cryptoEssay.
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.