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Channel

Neural Shit

@NeuralShit

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Advertising · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

54,643subscribers

+1,859 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-1001454077785
TypeChannel
Username@NeuralShit
DescriptionПроклятые нейронные сети Для связи: @krasniy_doshik РКН: https://www.gosuslugi.ru/snet/676d09a44de6c368450c10e4 https://tgpost.ru/tg/neuralshit
Created12 February 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/NeuralShit

Topic

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 93% 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 2 other registered channels. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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)
Posted firstThenOverlapGap
@NeuralShit/7618 · this entry20 Aug 2026, 12:35 UTC@Scienceg/3979120 Aug 2026, 13:40 UTC1.0065 minutes
@NeuralShit/7621 · this entry20 Aug 2026, 23:57 UTC@Scienceg/3980321 Aug 2026, 08:28 UTC1.008.5 hours
@NeuralShit/7717 · this entry18 Sept 2026, 08:31 UTC@Scienceg/4020218 Sept 2026, 11:07 UTC1.002.6 hours
@NeuralShit/7749 · this entry27 Sept 2026, 13:33 UTC@Scienceg/4028127 Sept 2026, 13:34 UTC1.00under a minute
@NeuralShit/7797 · this entry18 Oct 2026, 08:57 UTC@Scienceg/4048418 Oct 2026, 09:01 UTC1.004 minutes
@NeuralShit/7842 · this entry4 Nov 2026, 06:13 UTC@Scienceg/406554 Nov 2026, 07:08 UTC1.0055 minutes
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
ChannelMatching postsText overlapTypical gapPublished first
@Scienceg8 (8/8 hand-verifiable sample passed)1.001.8 hoursthis entry (8–0)
@cgevent24 (8/8 hand-verifiable sample passed)1.0016 hoursthis entry (13–11)

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. 1 of the 1 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 150 comparable posts for this entry, running 28 July 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 3 channels, the one whose matching posts we hold earliest is @cgevent. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, 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 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. 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.

Growth

52,74254,66153,701.554,6435 August 202610 November 2026
65 measurements spanning 97 days, net +1,859. 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 52,454–54,949 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
10 Nov 2026, 17:5754,643+8
9 Nov 2026, 05:5954,635-16
7 Nov 2026, 22:4754,651+4
6 Nov 2026, 21:3654,647-13
5 Nov 2026, 22:0654,660-1
4 Nov 2026, 19:3754,661+10
3 Nov 2026, 18:3854,651+22
2 Nov 2026, 15:1154,629+12
1 Nov 2026, 13:5654,617+47
31 Oct 2026, 14:5054,570+2
30 Oct 2026, 15:0654,568+26
29 Oct 2026, 13:5754,542+14
28 Oct 2026, 09:3754,528+17
27 Oct 2026, 12:1154,511+34
26 Oct 2026, 14:4054,477+102
25 Oct 2026, 14:3654,375-4
24 Oct 2026, 11:4954,379+8
23 Oct 2026, 13:3954,371+15
22 Oct 2026, 11:4954,356-18
21 Oct 2026, 01:5154,374first reading

Engagement

249 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 196 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
34.3%
avg views ÷ 54,643 subscribers
Avg views / post
18,700
74 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
74
of 249 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held249 (28 July 2026 – 11 November 2026)
Views total1,387,260
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 23:41 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
≈4,060
Videos
≈1,440
Links
≈2,240

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 02m
Average length
41s

Measured directly from 91 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.

Advertising

Ad load
3.21%
8 of 249 posts carry an ad marker
Regulatory tokens
8
posts carrying an erid · 8 distinct tokens
Median views · ads
14,600
over 8 measured posts
Median views · rest
15,900
over 241 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.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqvTmbLq19 October 20269 October 2026
2VtzqxFFew6122 September 202622 September 2026
2VtzqxQgqUZ121 October 202621 October 2026
2W5zFFyH8Ks128 September 202628 September 2026
2W5zFG62QXb131 July 202631 July 2026
2W5zFGetBNr19 November 20269 November 2026
2W5zFJUSWCy128 August 202628 August 2026
CQH36pWzJqE1dR7FvSMZafi3rJouktvuH5eZ1HLvE79eiw129 August 202629 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 249 most recent posts we hold, published 28 July 2026 to 11 November 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

Telegram’s own ‘edited’ marker: 3 of 74 posts held from the last 30 days (4.05%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 07:00 UTC≈8,720 viewsread 11 November 2026
Photo

Уже очевидно, что ВАЙБКОДИНГ — главный навык ближайших лет Посмотрите сами. ИИ уже забирает на себя работу целых команд: пишет код, закрывает задачи джунов и позволяет стартапам запускать продукты в 2–3 раза меньшим составом. То, на что раньше нужны были несколько разработчиков, сегодня всё чаще делает один человек с ИИ-агентами. И это только начало. Те, кто освоит вайбкодинг сейчас, смогут быстрее запускать проект…

11 Nov 2026, 05:56 UTC≈10,500 viewsread 11 November 2026

Кстати, там уже расковыряли и слили системный промпт Claude Fable 5.2. 426 203 символа, 65 тысяч слов. Это почти как вся книга "Гарри Поттер и философский камень", только соя гадская Клоду объясняют, как себя вести. Посмотреть можно тут

10 Nov 2026, 20:04 UTC≈11,900 viewsread 11 November 2026
Video

Как вывести из себя ИИ-рекрутера. оригинал взял тут и перевёл на русский

10 Nov 2026, 18:03 UTC≈12,400 viewsread 11 November 2026
Video

Я думал, что современные видеонейронки уже так не умеют и не делают, но у Грока ещё есть порох в пороховницах слоп в слоповницах. видео отсюда

10 Nov 2026, 16:31 UTC≈10,200 viewsread 11 November 2026
Video

Как я и предполагала - народ всю ночь не спал, вайбкодил херню фейблом. Сейчас в трендах вокальный синтезатор Химера, с узнаваемым визуальным стилем. Естессно, все кинулись делать каверы, музыкальные клипы и даже игры, используя новую модель и репозиторий. Я тож попробовала - вот вам кавер на мэдкида. Но с русским языком увы не так хорошо работает.

10 Nov 2026, 08:14 UTC≈11,800 viewsread 11 November 2026
Video

Вот реально нужный транспорт, а не вот эти летающие машины Илона Маска

10 Nov 2026, 06:25 UTC≈13,900 viewsread 11 November 2026
Photo

Наконец-то нормальные бенчмарки и это не шутка: https://assbench.com

10 Nov 2026, 01:38 UTC≈17,800 viewsread 11 November 2026

Лол, Антропики выкатили новые модельки, а в анонсе интересная приписочка. Там они какого-то хрена поставили оптимизацию ядер GPU в тот же раздел "Меры безопасности", что и хакинг с биологией. А самое интересное, что ежели кто-то таки решится оптимизировать вычисления на видеокарте, то никакой плашки уровня "извините, я не могу помочь с этим" не появится — моделька просто будет писать говнокод уровня Opus 5.5 (ладно,…

9 Nov 2026, 12:02 UTC≈12,400 viewsread 11 November 2026
Advertisementerid 2W5zFGetBNrPhoto

17 ноября Альфа-Банк приглашает экспертов безопасной разработки на AI AppSec Night — вечер холиваров, ток-шоу про CyberSec AI и острые темы. Команды будут соревноваться в игре «Что? Где? Безопасность!». Ведущий - Сергей Николенко, двукратный чемпион мира по ЧГК, исследователь темы искусственного интеллекта в России. Формат — офлайн в Москве или онлайн из любого города. Участие бесплатное, по регистрации.

8 Nov 2026, 22:49 UTC≈15,800 viewsread 11 November 2026
Photo

(под спойлером на картинках мерзость, впечатлительным не открывать) Транспортные средства, сделанные из жопы. Это вам за то, что не молитесь. Покрал отсюда.

8 Nov 2026, 15:48 UTC≈17,100 viewsread 11 November 2026
Video

Наконец-то нормальные разработки. Чувак из твиттора собрал виртуальную глотку. Можно двигать язык, губы и челюсть, заставлять её говорить, петь и битбоксить. Звук появляется из симуляции воздуха и голосовых связок. А если человеческой глотки мало, то есть есть ещё тюленья, аллигатора и слона. понажимать онлайн исходники

Showing the 12 most recent of 249 posts we hold for @NeuralShit. 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

@NeuralShit edited 1 post 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
25 September 2026
Most recent edit
25 September 2026

Forward network

Republished by

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

Republished by 93 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

Метаверсище и ИИще
@cgevent · 53,591
13 posts
Зеркало Тоналя
@tonalmirror · 8
5 posts
Denis Sexy IT 🤖
@denissexy · 140,753
3 posts
Нейроделикатесы💡
@neurodelikatessen · 45
3 posts
Усталый робот🤖
@tiredbot386 · 19
3 posts
CGIT_Vines
@CGIT_Vines · 11,643
2 posts
Про́клятый киберпанк !
@DamnDigital · 170
2 posts
Марсианский Канал 🌲
@MarsKanal · 168
2 posts
Artificial stupidity
@artificial_stupid · 1,506
2 posts
Aza AI
@aza_ai_expert · 1,314
2 posts
Derp Learning
@derplearning · 13,997
2 posts
GPT-42
@gpt_42 · 167
2 posts
ИА "Стекломой"
@ia_steklomoy · 108,619
2 posts
Love. Death. Transformers.
@lovedeathtransformers · 26,252
2 posts
Neurwana
@neurwana · 11
2 posts
Человек и Машина (llm, ml, ai, research)
@oozor3d · 21
2 posts
Q-Hub
@quardex_hub · 83
2 posts
Capy + AI
@CapyAI · 26
1 post
EFEMERA: AI news
@EF9MERA · 1,642
1 post
GPTшная
@GPThand · 355
1 post
ITSK
@I_T_S_K · 258
1 post
Azizjon Azimi
@aateam7 · 530
1 post
AI для людей
@ai4lyudi · 676
1 post
Квест Теория Каст и Ролей
@alexkrol · 18,734
1 post
AlZ
@alzblog · 23
1 post
Дегродские музыкальные мемы
@bratishkamemes · 5,019
1 post
CL Vibes
@clvibes · 16
1 post
Цифровая Гиена
@cy8erbe3 · 1
1 post
Киберпанк, который мы заслужили
@cyberpunkweadeserve · 145
1 post
AI меняет культуру | Trabun
@danieltrbn · 13,802
1 post
Daniilak — Канал
@daniilak · 2,920
1 post
Deep Learning Highlights
@deeplearninghl · 361
1 post
Детепр
@detepr · 1,675
1 post
Почему я не девопс
@devnopes · 8
1 post
монитор
@digitalsru · 72,920
1 post
Открытия
@disc_over · 534
1 post
Dot fun
@dotnet_fun · 5
1 post
Ошибка Саши Томаса
@erobubble · 733
1 post
Форточку открой
@fortochkuotkroi · 243
1 post
Narek | AI & Startups
@fucking_js · 6,607
1 post
технорирующий норкоман
@fuckingdone_tech · 162
1 post
Garbage Collector
@g_coll · 6,717
1 post
gptscience 🤖
@gptscience · 180
1 post
ИИ и Счастье Разума
@happytopmindAI · 121
1 post
в ненастье
@hateread · 87
1 post
Хихидна подкроватная 🛏🦔
@hihidnana · 5
1 post
чэнъуъи на каждый день
@huyidiomy · 198
1 post
Паша Гертман и Большая Удаленка
@kabargazm · 138
1 post

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 26 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.

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.

Denis Sexy IT 🤖
@denissexy · 140,753
#1
Сиолошная
@seeallochnaya · 81,254
#2
addmeto
@addmeto · 72,001
#3
UX Live 🔥
@uxlive · 36,201
#4
Derp Learning
@derplearning · 13,997
#5
Ai molodca
@strangedalle · 47,615
#6
Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 15,143
#7
банан.zip
@bananzip · 2,455
#8
Старший Авгур
@senior_augur · 8,372
#9
Neural Meduza
@neuralmeduza · 20,374
#10
Data Secrets
@data_secrets · 96,159
#11
Время Валеры
@cryptovalerii · 32,080
#12
AI для Всех
@nn_for_science · 15,453
#13
Борис опять
@boris_again · 17,955
#14
AI Happens
@aihappens · 14,524
#15
Ppprompt | Sexy AI Prompts & Experiments | by @ponchiknews
@ppprompt · 15,559
#16
Сергей Булаев AI 🤖
@sergiobulaev · 12,591
#17
Метаверсошная
@olya_tashit · 13,201
#18
R77 AI | Кейсы в ИИ (от выпускников МФТИ)
@r77_ai · 7,511
#19
Вечерний Даня (danya.ru)
@vecherniy_danya · 10,058
#20
Not Boring Tech
@notboring_tech · 21,121
#21
Neural Machine
@neuralmachine · 48,659
#22
Сергей Марков: машинное обучение, искусство и шитпостинг
@oulenspiegel_channel · 12,397
#23
что-то на DL-ском
@nadlskom · 5,152
#24
e/acc
@cryptoEssay · 63,613
#25
New Yorko Times
@new_yorko_times · 10,720
#26
ЭйАйЛера
@leraneuralpics · 7,238
#27
Rozetked
@rozetked · 646,921
#28
Generative Anton
@repushko_channel · 5,444
#29
Мишин Лернинг
@mishin_learning · 7,452
#30
Complete AI
@complete_ai · 7,887
#31
ЗаТелеком 🌐
@zatelecom · 64,510
#32
Артемий Лебедев
@temalebedev · 971,105
#33
DLStories
@dl_stories · 15,546
#34
🦖 Айти Тудэй 🦥
@ithueti · 8,557
#35
запуск завтра
@ctodaily · 33,704
#36
КиберОлег 🦄🤖🙌
@cyberoleg · 1,491
#37
Data, Stories and Languages
@datastorieslanguages · 3,922
#38
Нейродвиж
@neuraldvig · 288,660
#39
Knowledge Accumulator
@knowledge_accumulator · 5,683
#40
эйай ньюз
@ai_newz · 98,339
#41
Метаверсище и ИИще
@cgevent · 53,591
#42
CGIT_Vines
@CGIT_Vines · 11,643
#43
Двач
@dvachannel · 969,125
#44
еба́ные идеи для резерча
@ebaresearch · 5,368
#45
Раньше всех. Ну почти.
@bbbreaking · 1,975,436
#46
r/ретранслятор
@retra · 165,761
#47
Kali Novskaya
@rybolos_channel · 19,139
#48
Ньюсач/Двач
@ru2ch · 710,451
#49
Медуза — LIVE
@meduzalive · 1,116,844
#50
Нейронавт | Нейросети в творчестве
@GreenNeuralRobots · 13,429
#51
Нейросети и Блендер
@monkeyinlaw · 12,687
#52
LLM под капотом
@llm_under_hood · 30,219
#53
Dankest Memes // Данкест Мемс
@thedankestmemes · 46,164
#54
Лентач
@lentachold · 391,507
#55
TechSparks
@techsparks · 46,736
#56
Dealer.AI
@dealerAI · 17,113
#57
Machinelearning
@ai_machinelearning_big_data · 275,659
#58
Градиент обреченный
@doomgrad · 8,840
#59
DeepSchool
@deep_school · 10,736
#60
Бэкдор
@whackdoor · 1,538,229
#61
BOGDANISSSIMO
@bogdanisssimo · 7,020
#62
kyrillic
@kyrillic · 61,233
#63
Just links
@j_links · 6,943
#64
Psy Eyes
@Psy_Eyes · 7,063
#65
SVTV NEWS — Либертарианское СМИ
@svtvnews · 112,332
#66
Пездуза
@pezduzalive · 368,836
#67
The After Times
@theaftertimes · 16,833
#68
Эксплойт
@exploitex · 2,021,350
#69
Нейрогороскопы
@neural_horo · 47,686
#70
VG/Двач
@ru2chvg · 183,087
#71
Адовый UX
@uxfromhell · 50,311
#72
AbstractDL
@abstractDL · 18,849
#73
Пекарня
@pekagame · 1,117,922
#74
42 секунды
@ftsec · 19,385
#75
Zavtracast
@zavtracast · 14,740
#76
Вастрик.Клуб
@vas3k_club · 11,302
#77
Екатерина Шульман
@eschulmann · 299,577
#78
Жизнь насекомых
@insect_life · 192,765
#79
Лентач
@oldlentach · 262,523
#80
Код.ру
@d_code · 405,458
#81
Абу
@abuwtf · 274,624
#82
Дудь
@yurydud · 849,220
#83
Киты плывут на вписку с ЛСД
@whalesgohigh · 61,504
#84
кабачковая икра по акции
@sale_caviar · 192,570
#85
Гуфовский
@GGufen · 36,995
#86
Техно Фил
@kontsarenko · 3,955
#87
КПД
@quant_prune_distill · 3,517
#88
нёрд хаб
@nerdhubchannel · 4,572
#89
Нейро Рецепты
@neural_recipes · 8,826
#90
DTF
@dtfbest · 57,966
#91
твиттота
@twitt_ota · 415,877
#92

Read from Telegram’s recommendation API, most recently 24 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.

Neural Meduza
@neuralmeduza · 20,374
Telegram ranks this channel #1 of 69 here — alongside 68 others — read 27 September 2026
Нейрогороскопы
@neural_horo · 47,686
Telegram ranks this channel #1 of 83 here — alongside 82 others — read 26 August 2026
Neural Machine
@neuralmachine · 48,659
Telegram ranks this channel #2 of 69 here — alongside 68 others — read 26 August 2026
Ai molodca
@strangedalle · 47,615
Telegram ranks this channel #4 of 94 here — alongside 93 others — read 27 August 2026
Denis Sexy IT 🤖
@denissexy · 140,753
Telegram ranks this channel #4 of 95 here — alongside 94 others — read 13 August 2026
Not Boring Tech
@notboring_tech · 21,121
Telegram ranks this channel #5 of 91 here — alongside 90 others — read 26 September 2026
Ряды Фурье
@Fourier_series · 43,923
Telegram ranks this channel #5 of 93 here — alongside 92 others — read 29 August 2026
N + 1
@nplusone · 65,475
Telegram ranks this channel #5 of 96 here — alongside 95 others — read 21 August 2026
Двоичный кот
@binarcat · 30,753
Telegram ranks this channel #6 of 93 here — alongside 92 others — read 9 September 2026
Dankest Memes // Данкест Мемс
@thedankestmemes · 46,164
Telegram ranks this channel #6 of 76 here — alongside 75 others — read 27 August 2026
Нейроскептик
@neuroskep · 29,744
Telegram ranks this channel #7 of 90 here — alongside 89 others — read 8 September 2026
Сиолошная
@seeallochnaya · 81,254
Telegram ranks this channel #8 of 97 here — alongside 96 others — read 19 August 2026
e/acc
@cryptoEssay · 63,613
Telegram ranks this channel #10 of 96 here — alongside 95 others — read 21 August 2026
addmeto
@addmeto · 72,001
Telegram ranks this channel #11 of 95 here — alongside 94 others — read 20 August 2026
Александр Панчин
@ScienceInquisition · 49,147
Telegram ranks this channel #12 of 97 here — alongside 96 others — read 25 August 2026
Neurogen
@neurogen_news · 22,916
Telegram ranks this channel #13 of 88 here — alongside 87 others — read 19 September 2026
Малоизвестное интересное
@theworldisnoteasy · 74,298
Telegram ranks this channel #13 of 94 here — alongside 93 others — read 19 August 2026
Техасский Вестник
@starbasepost · 19,255
Telegram ranks this channel #14 of 92 here — alongside 91 others — read 4 October 2026
Бурый
@sburyi · 20,145
Telegram ranks this channel #14 of 93 here — alongside 92 others — read 4 October 2026
Миша, давай по новой
@misha_davai_po_novoi · 19,123
Telegram ranks this channel #14 of 95 here — alongside 94 others — read 4 October 2026
UX Live 🔥
@uxlive · 36,201
Telegram ranks this channel #14 of 86 here — alongside 85 others — read 2 September 2026
gonzo-обзоры ML статей
@gonzo_ML · 24,697
Telegram ranks this channel #17 of 93 here — alongside 92 others — read 16 September 2026
Tips AI | IT & AI
@tips_ai · 25,790
Telegram ranks this channel #18 of 95 here — alongside 94 others — read 14 September 2026
Sber AI
@SberAIScience · 26,483
Telegram ranks this channel #18 of 95 here — alongside 94 others — read 10 September 2026

This channel appears in 103 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Neural Shit” (@NeuralShit), 54,643 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/NeuralShit.

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.