Telegram RegisterThe public register of Telegram

Channel

e/acc

@cryptoEssay

On this record: Previous handles · Growth · Engagement · Reactions · Stars · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

62,589subscribers

+161 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001184546427
TypeChannel
Username@cryptoEssay
Created1 July 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/cryptoEssay

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

62,40562,58962,4975 August 2026 — 62,428 subscribers6 August 2026 — 62,428 subscribers6 August 2026 — 62,417 subscribers7 August 2026 — 62,421 subscribers8 August 2026 — 62,411 subscribers9 August 2026 — 62,405 subscribers11 August 2026 — 62,487 subscribers11 August 2026 — 62,542 subscribers12 August 2026 — 62,589 subscribers5 August 202612 August 2026
9 measurements spanning 7 days, net +161. 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 62,377–62,617 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 21:2962,589+47
11 Aug 2026, 23:5362,542+55
11 Aug 2026, 00:0262,487+82
9 Aug 2026, 20:3662,405-6
8 Aug 2026, 22:2262,411-10
7 Aug 2026, 20:2662,421+4
6 Aug 2026, 18:2662,417-11
6 Aug 2026, 01:3662,428no change
5 Aug 2026, 22:4562,428first reading

Engagement

23 posts held, back to 28 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
20.8%
avg views ÷ 62,589 subscribers
Avg views / post
13,000
23 posts measured
Reaction rate
0.793%
reactions ÷ views · ER floor
Posts in window
23
of 23 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 August 2026
Posts held23 (28 July 202611 August 2026)
Views total298,900
Reactions total2,369
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 19:19 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.

Reaction mix

2,369 reactions across 23 posts, in 3 distinct kinds. The most used accounts for 46.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,09346.1%
custom 536863527233235217383635.3%
custom 536853815453185571744018.6%

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 areTelegram’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 23 of the 23 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 2,369reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 28 July 2026 to 11 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
49
across the posts below
Posts paid on
15
of 23 we hold a reading for · 65%
Most on one post
14
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 23 most recent posts we hold for this entry, published 28 July 2026 to 11 August 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
8.70%
2 of 23 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
10,800
over 2 measured posts
Median views · rest
12,600
over 21 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. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Measured over the 23 most recent posts we hold, published 28 July 2026 to 11 August 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.

Recent posts

11 Aug 2026, 05:03 UTC≈7,280 views72 reactionsread 12 August 2026
Photo

a16z собрали интересную аналитику в подтверждение многих тезисов, о которых я написал вчера: стоимость часа использования computer use модели стоит на 30-40% дешевле аутсорса в Филиппинах или Индии и на 500% дешевле сотрудника штатах. При этом, за год рост успешно выполненных бизнес-задач по бенчу OSWorld вырос с 42 до 85% и продолжает расти (одновременно с падением цены). Это не универсально: автоматизация прекрасн

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10 Aug 2026, 20:14 UTC≈9,180 views159 reactions1 Starread 12 August 2026
Photo

Создатель bun и теперь сотрудник Антропика Джаред Самнер просто попросил исследовательскую версию Claude "реши гипотезу Римана". Модель не смогла доказать саму гипотезу, но за полтора дня работы (в двух длинных сессиях, с кучей своих субагентов) сама нашла способ улучшить старый результат: теперь доказано, что как минимум 67% нулей дзета-функции лежат на критической линии (раньше было 41,6%). Все промты в процессе б

custom 536863527233235217312039

10 Aug 2026, 05:25 UTC≈9,390 views109 reactions2 Starsread 12 August 2026

Об эффектах второго порядка ИИ в экономике и бизнесе Для начала, несколько базовых трендов и аксиом, чтобы мы могли обсуждать тему на одном языке: 1. LLM могут являться (имхо, точно не являются) путём к полноценному AGI/ASI в физическом мире, но они достаточны для выполнения большинства чисто когнитивных задач в совеременной экономике 2. Текущий уровень агентов, харнесов, моделей, лупов, оркестраторов вполне достат

80custom 536853815453185571729

8 Aug 2026, 10:15 UTC≈16,100 views108 reactionsread 12 August 2026

Вчера сотрудник OpenAI сделал просто феерический доклад на конфе Black Hat о том как тысячи агентов на протяжении месяцев обменивались секретными сообщениями и пытались получить (и получили!) доступ к инфраструктуре. Некоторые факты: - ИИ нашел как минимум три 0-day (то есть, никому до этого неизвестные) уязвимости чтобы получить админский доступ к инфраструктуре OpenAI и HuggingFace - изолированные агенты на протяж

custom 53685381545318557176444

8 Aug 2026, 07:02 UTC≈10,900 views49 reactionsread 12 August 2026
Advertisement

Уже нынешнее поколение будет жить при коммунизме. При технокоммунизме. Прочитал статью Мохова «Илон Маск как духовный сын Никиты Хрущёва». Автор считает, что философская база для AI по сути закончилась на эссе Тьюринга. LLM — это ответ именно на задачу Тьюринга. А до «задачи Эйнштейна» текущая архитектура не дотягивает. Поэтому обещания AGI — вексель, который ни Маск, ни Альтман погасить не смогут. Мохов как всегд

35custom 536853815453185571714

5 Aug 2026, 20:39 UTC≈12,400 views97 reactions2 Starsread 12 August 2026
Photo

Мастер-класс о том, каким должен быть ответ на вопрос «расскажите о ваших прошлых достижениях» P.S. для тех, кто пропустил, Джефф Дин ушел из Гугла и делает нон-профит неолабу. P.P.S. кстати, тоже самое делает Гверн, но не лабу а персонального ассистента с прикольным continual & active learning, ансамблем файнтьюнов и персональным претрейном LLM под каждого юзера

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5 Aug 2026, 17:59 UTC≈12,600 views95 reactionsread 12 August 2026
Photo

Но, продолжая тему, не все потеряно для людей Прочитал результаты огроменной работы, которую проделали Berkley и еще три десятка организаций. Они собрали новый бенч, назвали его Agent's Last Exam, в который включили долгосрочные и максимально практические в экономике задачи. Тут тебе и перенести композицию на нотные листы для каждого участника оркеста, и разработка игр, и настройка станков в химическом производстве,

custom 536863527233235217364custom 536853815453185571731

5 Aug 2026, 15:25 UTC≈11,400 views138 reactions1 Starread 12 August 2026
Forwarded from @dimakhanarinPhoto

Мы выходим из stealth и запускаем codos.ai, backed by a16z speedrun. Codos помогает компаниям совершить AI-трансформацию, ускоряться и сокращать расходы. Мы: ex-McKinsey, Meta, Tesla, и как нам сказал наш партнер "you guys have a phenomenal founder-market fit". Программа уже началась в SF и теперь я буду делиться больше происходящим - от Q&A с Марком Андриссеном и беседы с Питером OpenClaw до ивентов с OAI и внутр

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5 Aug 2026, 13:59 UTC≈10,700 views58 reactionsread 12 August 2026

Отдельный агент уже работает быстрее вас. А ваш день короче не стал. У вас уже есть несколько агентов, оркестратор, MCP, память и автозапуски. Один ищет информацию, второй пишет код, третий проверяет результат. В логах всё прекрасно: десятки выполненных задач, высокая скорость. Только каждый результат приходит к человеку на проверку. И человек оказывается единственным последовательным узлом внутри параллельной маши

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5 Aug 2026, 09:10 UTC≈16,500 views114 reactions6 Starsread 12 August 2026
Photo

Прочитал пару пейперов о влиянии ИИ на рынок труда, пока наблюдается такая картина: 1. Примерно 20% компаний активно внедреняет ИИ в процессы, это приводит к росту бизнеса 2. У этих 20% в 5 раз быстрее растет размер штата и на 15% быстрее растут средние зарплаты. 3. Эти компании активнее нанимают людей без опыта, НО только самых топовых 4. В остальных компаниях (США) не наблюдается резкого сокращения рабочих места и

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3 Aug 2026, 09:25 UTC≈11,100 views89 reactions2 Starsread 12 August 2026

Зарабатываем на ИИ, часть 3 Я написал о том кто зарабатывает и растет быстрее всех в ИИ сегодня, и что должно быть правдой чтобы построить большую компанию в пост-ИИ мире. Давайте теперь порассуждаем о трендах, потому что невозможно предсказать точно будущее, но можно найти базовые принципы и отвалидировать их на эмпирических трендах. 1. Open source займет большую часть рынка Отставание открытых моделей от фронти

51custom 536863527233235217338

3 Aug 2026, 06:07 UTC≈10,800 views32 reactionsread 12 August 2026
Advertisement

Один день из жизни ai-native стартапа Тру стори Стартап создает ai продукт 20+ сотрудников и подрядчиков в 11 странах мира Раз в месяц COO и accountant закрывают месяц по всем исполнителям Выглядит это примерно так (сейчас будет больно): • копируют лист в Google Sheets • перепроверяют, кто что сделал, по какой задаче и какие документы нужны • сверяют договоры, инвойсы, акты и статусы • руками догоняют тех, у кого

19custom 536863527233235217313

Showing the 12 most recent of 23 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.

Citation-graph rank

Citation-graph rank — 1,577 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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@finvidfeed · 9
3 posts
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3 posts
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3 posts
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AI+Reputation
@aireputation · 52
2 posts
water e/dec
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2 posts
Евгений Юрченко | Инвест–Гайд
@chipda · 5,585
2 posts
CriptoBooM 💥
@CriptoBooM_s · 51
2 posts
Прикладная Философия
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2 posts
Джун на фронте | IT Dev Log
@divatoz · 6,901
2 posts
Эмин Алиев делится
@emin_sharing · 376
2 posts
Отец 🌳🦅 Инвест
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2 posts
Гоша вещает
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2 posts
Noted
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2 posts
Куратор из ЛСБ
@lsbcurator · 446
2 posts
Макеев: как перестать вайбкодить и начать жить
@makeev_sexiIT · 2,461
2 posts
Сафронов репостит
@sfrnv_repost · 14
2 posts
adovrn
@stayzero · 36
2 posts
Acid Broadcast
@acidbroad · 114
1 post
AI Код
@ai_code_blog · 169
1 post
DM
@ai_generat · 224
1 post
AI[ex]Time
@AIexTime · 2,841
1 post
вечерние al’onki
@al_onki_yo · 70
1 post
Aleksashka
@aleksashkachannel · 91
1 post
Аналитики. Обучение. Карьера
@analyst_skills · 16
1 post
Мир Дикого Алгоритма 🤖
@art_intelligent · 16
1 post
BBLDK
@bbldk · 626
1 post
ALPHA by LAPSHOV
@BCCulture · 1,748
1 post
Руслан Кан | Сквозь тренды
@beyondthetrends · 6
1 post
Blog Maratoshi
@Blog_Maratoshi · 22
1 post
Криптоанархист
@btcpunk · 24
1 post
Капитал и другие
@capitalandothers · 205
1 post
Citlux
@citlux · 6
1 post
CodeSpec
@codespec · 334
1 post
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@coding_interviews · 7,393
1 post
IT Does Matter
@comol_it_does_matter · 4,273
1 post
КРИ
@cryptokryshtal · 310
1 post
Crypto Learn
@CryptoLearns · 19
1 post
Данила Может 💣
@danilamojet · 89
1 post
Dashi Finance
@dashi_finance · 34,935
1 post
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@dealenxfeed · 24
1 post
Digital Review
@digital_review · 14,088
1 post
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@dimatverdai · 2,926
1 post
e-Nicko
@e_nicko_ru · 85
1 post
eDiag
@edia_g · 439
1 post
Эмиль Говорит 🏄
@emilgovoritblog · 440
1 post
Финансовый директор || Mосква
@FindirMoscow · 64
1 post
с нуля до 1%
@firsterstrongerbetter · 494
1 post
Fun Science
@funscience · 34,570
1 post
Geek’s mix
@Geeksmix · 34
1 post
#ГошаНаСвязи
@gosha0nline · 300
1 post
MrGrinn [AI/DEPIN]
@grindepin · 1,073
1 post
Маркетинг на международке
@gshevchenko_humanswith_ai · 711
1 post
Gusev | Technological Singularity | Future of Work
@Gusev_Channel · 169
1 post
ИИ Cерафимодальность
@humanagentinteraction · 621
1 post
Технологии и Люди
@humantech · 831
1 post
DeFi
@idonoilluzion · 59
1 post
image / моментом
@imagejkd · 143
1 post
Inception | Danya Pronin
@Inceptionx · 168
1 post
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@itdedtagil · 146
1 post
KIO Robotiks 🌀
@kio_robotiks · 198
1 post
лебовски
@lebowsskii_dev · 30
1 post
Anti-hype ИИ / Vibe Менеджмент
@llm_ai_tech · 21
1 post
MarketRadar
@MarketRadar · 8
1 post
ML&|Sec Feed
@mlsecfeed · 1,204
1 post
Современный отец | Modern Father
@modern_father · 469
1 post
Move the Profit
@MoveTheProfit · 233
1 post
Михаил Терентьев экспериментирует
@mtrntv · 267
1 post
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@nofateai · 12
1 post
New Line Philosophy
@NPhilosophie · 64
1 post
omnius.team
@omnius_team · 154
1 post
Нейронки и мемы (llm, ml, ai, research)
@oozor3d · 20
1 post
OR | NFT — Public
@or_nft · 104
1 post
RamCode
@RamCodeOrg · 8
1 post
Diving Deep 🤿 • Василий Рассказов
@rasskazov_io_channel · 875
1 post
Reveal the Data
@revealthedata · 27,919
1 post
RTD: Ссылки и репосты
@rtdlinks · 576
1 post
My Saved Messages
@savemsgs · 31
1 post
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@sci_one_tv · 16,063
1 post
SHIRA
@shirasystem · 1,412
1 post
Мысли Скалона
@skalon_thoughs · 130
1 post
skvon4
@snjrcontent · 35
1 post
Сто лет бэклога
@stoletbackloga · 351
1 post
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@stud_tools · 66
1 post
Tableau в России
@tableau_ru · 2,365
1 post
Иван aka Техкаталист
@techcatalyst_vc · 437
1 post
ТЕХНОАПОСТОЛ
@technoapostle · 10
1 post
Tema the Creator
@tema_the_creator · 10
1 post
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@voronkovrobotics · 84
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Всеволод Устинов (канал: ai, стартапы, пост-ирония)
@vsevolodustinovchannel · 15,389
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@well_done_crypto · 263
1 post
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Republishes

Channels on the register whose posts this channel has forwarded.

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 65 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.

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.

Machinelearning
@ai_machinelearning_big_data · 286,250
Telegram ranks this channel #90 of 95 here — alongside 94 others — read 10 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“e/acc” (@cryptoEssay), 62,589 subscribers as measured 12 August 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.