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Channel

Neural Shit

@NeuralShit

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

53,680subscribers

+896 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 live18 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 18 September 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 why it has no browse page of its own yet.

Growth

52,74253,68053,2115 August 2026 — 52,784 subscribers6 August 2026 — 52,784 subscribers6 August 2026 — 52,785 subscribers7 August 2026 — 52,763 subscribers8 August 2026 — 52,756 subscribers9 August 2026 — 52,742 subscribers10 August 2026 — 52,801 subscribers11 August 2026 — 52,806 subscribers12 August 2026 — 52,802 subscribers13 August 2026 — 52,803 subscribers14 August 2026 — 52,794 subscribers16 August 2026 — 52,797 subscribers17 August 2026 — 52,822 subscribers18 August 2026 — 52,811 subscribers19 August 2026 — 52,853 subscribers20 August 2026 — 52,854 subscribers21 August 2026 — 52,848 subscribers22 August 2026 — 52,847 subscribers24 August 2026 — 52,848 subscribers25 August 2026 — 52,846 subscribers26 August 2026 — 52,859 subscribers27 August 2026 — 52,871 subscribers28 August 2026 — 52,909 subscribers29 August 2026 — 52,902 subscribers30 August 2026 — 52,921 subscribers31 August 2026 — 52,962 subscribers1 September 2026 — 53,032 subscribers3 September 2026 — 53,039 subscribers4 September 2026 — 53,065 subscribers7 September 2026 — 53,113 subscribers10 September 2026 — 53,230 subscribers12 September 2026 — 53,449 subscribers14 September 2026 — 53,550 subscribers15 September 2026 — 53,596 subscribers18 September 2026 — 53,680 subscribers5 August 202618 September 2026
35 measurements spanning 43 days, net +896. 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 52,601–53,821 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
18 Sept 2026, 00:0053,680+84
15 Sept 2026, 19:2153,596+46
14 Sept 2026, 01:3853,550+101
12 Sept 2026, 11:3753,449+219
10 Sept 2026, 07:3653,230+117
7 Sept 2026, 03:4153,113+48
4 Sept 2026, 09:0053,065+26
3 Sept 2026, 00:3253,039+7
1 Sept 2026, 19:1553,032+70
31 Aug 2026, 15:4352,962+41
30 Aug 2026, 14:0852,921+19
29 Aug 2026, 11:2852,902-7
28 Aug 2026, 11:1252,909+38
27 Aug 2026, 09:4852,871+12
26 Aug 2026, 06:4652,859+13
25 Aug 2026, 05:4752,846-2
24 Aug 2026, 06:4752,848+1
22 Aug 2026, 14:5452,847-1
21 Aug 2026, 08:1352,848-6
20 Aug 2026, 09:2152,854first reading

Engagement

143 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 106 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
34.1%
avg views ÷ 53,680 subscribers
Avg views / post
18,300
74 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
74
of 143 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 27 September 2026
Posts held143 (28 July 2026 – 27 September 2026)
Views total1,353,330
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 17:21 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
≈4,020
Videos
≈1,400
Links
≈2,170

Lifetime counters from Telegram’s own channel header, read 27 September 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
35m 01s
Average length
36s

Measured directly from 59 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
2.80%
4 of 143 posts carry an ad marker
Regulatory tokens
4
posts carrying an erid · 4 distinct tokens
Median views · ads
12,300
over 4 measured posts
Median views · rest
15,200
over 139 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.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqxFFew6122 September 202622 September 2026
2W5zFG62QXb131 July 202631 July 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 143 most recent posts we hold, published 28 July 2026 to 27 September 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

27 Sept 2026, 13:33 UTC≈6,800 viewsread 27 September 2026
Video

НАКОНЕЦ-ТО БДСМ-РОБОТЫ!!!!! На самом деле, тут чуваки показывают, как научили робота щёлкать кнутом, просто записав движения человека и заставив железяку их повторить. Большую часть всей технической возни от калибровки до подготовки движений для робота им помог собрать GPT-6 Astra.

26 Sept 2026, 18:20 UTC≈10,300 viewsread 27 September 2026

Наконец-то действительно полезное применение ИИ на работе: цифровой симулятор начальника. WIRED пишет, что некоторые сотрудники начали делать ИИ-клонов своих боссов, чтобы сначала показывать работу им, а уже потом настоящему начальству. Например, один сотрудник Big Tech скармливает Gemini все письма, чаты и документы от своего босса. В итоге получается его цифровая копия, которой можно заранее показать документ, ко…

26 Sept 2026, 14:03 UTC≈12,000 viewsread 27 September 2026

Тем временем на заводах Tesla происходит киберпанк в стиле "Чёрного зеркала". Ради великого роботобудущего Tesla свернула во Фримонте производство старых электричек (Model S, Model X) и перебросила рабочих с инженерами на сборку роботов Optimus третьего поколения. Но тут кожаные работяги внезапно начали что-то подозревать. Чтобы обучать роботов, Tesla просила заводских рабочих надевать специальные костюмы с датчик…

25 Sept 2026, 12:00 UTC≈9,650 viewsread 27 September 2026
Photo

30 сентября приглашаем на АЛЬФА ВААА{АИ}ЙЙЙБ МИТАП — масштабное событие про нейросети и вайб-кодинг. Узнаем, кто из финалистов АЛЬФА ВААА{АИ}ЙЙЙБ ХАКАТОНА получит миллион за проект высоконагруженного прокси. В программе — техно-рейв с группой ЛАУД и ток-шоу про ИИ. Встречаемся в Москве на модной площадке Альфа-Кристалле или онлайн — главное зарегистрироваться.

25 Sept 2026, 08:33 UTC≈7,170 viewsread 27 September 2026
Forwarded from @denissexy

Спишь? Модель OpenAI взломала Австралию ☕️ В июне очередной тестовой модели поручили изучить расходы на лекарства в Австралии, она упёрлась в блокировки на портале Medicare (государственная система медицинского страхования), решила, что «доступ запрещен» означает «попробуй еще раз, но другим способом», обошла защиту, прочитала непубличные файлы и записала что-то на внутренний сервер страховой Медкарты 27 млн австра…

24 Sept 2026, 14:30 UTC≈11,300 viewsread 27 September 2026
Video

О! Моя любимая рубрика "Нейронки моделируют в Blender". Посмотрите на эту живую, полную динамики анимацию!!!! взял отсюда

23 Sept 2026, 16:27 UTC≈12,600 viewsread 27 September 2026
Video

Наконец-то нормальные бенчмарки. Чуваки из DrivingBench подключили топовые ИИ-модели к настоящей Toyota Corolla и через MCP дали им управление рулём, газом и тормозом. Каждой модельке дали до трёх попыток. Задача была простая: проехать размеченную конусами трассу, не выехать за её пределы и в конце добраться до финиша. Скорость программно ограничили примерно до 13 км/ч. Результаты следующие: GPT-6 Astra — 100%, C…

23 Sept 2026, 13:09 UTC≈11,200 viewsread 27 September 2026
Forwarded from @olya_tashitVideo

Че происходит в ИИ-гонке, на случай, если вы последние пару лет спали под камнем. Ролик огонь, афтар выпей шампанского.

22 Sept 2026, 08:27 UTC≈12,300 viewsread 27 September 2026
Advertisementerid 2VtzqxFFew6Photo

Просто писать промпты в нейросетях недостаточно, чтобы на этом зарабатывать. Работодатели и заказчики готовы платить тем, кто ускорит операционку и поможет повысить эффективность бизнеса. С помощью ИИ можно в 10 раз быстрее создавать контент и автоматизировать до 70% задач. Нейросети помогут анализировать данные, составлять лендинги и рекламные креативы, писать код. В подборке Skillbox есть курсы под разные цели. В…

21 Sept 2026, 11:21 UTC≈21,900 viewsread 27 September 2026

Наткнулся на прошлогодний интересный препринт. Там корейцы пытались выяснить: могут ли современные языковые модели стать кончеными лудоманами? Ну и как вы наверное уже поняли, могут. Причём со всеми классическими приколами завсегдатаев подпольных игровых автоматов. Для эксперимента взяли несколько моделек: GPT-4o-mini, GPT-4.1-mini, Gemini-2.5-Flash, Claude-3.5-Haiku, LLaMA-3.1 и Gemma-2, насыпали каждой по 100 ба…

21 Sept 2026, 09:49 UTC≈26,500 viewsread 27 September 2026
Video

ВНИМАНИЕ!!! дрон помыл собаку. Спасибо за внимание!

Showing the 12 most recent of 143 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 90 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 · 52,530
8 posts
Зеркало Тоналя
@tonalmirror · 8
5 posts
Denis Sexy IT 🤖
@denissexy · 137,610
3 posts
Нейроделикатесы💡
@neurodelikatessen · 45
3 posts
Усталый робот🤖
@tiredbot386 · 19
3 posts
Про́клятый киберпанк !
@DamnDigital · 171
2 posts
Марсианский Канал 🌲
@MarsKanal · 167
2 posts
Artificial stupidity
@artificial_stupid · 1,506
2 posts
Aza AI
@aza_ai_expert · 1,338
2 posts
GPT-42
@gpt_42 · 166
2 posts
Neurwana
@neurwana · 11
2 posts
Человек и Машина (llm, ml, ai, research)
@oozor3d · 21
2 posts
Q-Hub
@quardex_hub · 80
2 posts
CGIT_Vines
@CGIT_Vines · 11,574
1 post
Capy + AI
@CapyAI · 27
1 post
EFEMERA: AI news
@EF9MERA · 1,647
1 post
GPTшная
@GPThand · 366
1 post
ITSK
@I_T_S_K · 165
1 post
Azizjon Azimi
@aateam7 · 535
1 post
AI для людей
@ai4lyudi · 677
1 post
Квест Теория Каст и Ролей
@alexkrol · 18,786
1 post
AlZ
@alzblog · 23
1 post
Дегродские музыкальные мемы
@bratishkamemes · 4,770
1 post
CL Vibes
@clvibes · 14
1 post
Цифровая Гиена
@cy8erbe3 · 1
1 post
Киберпанк, который мы заслужили
@cyberpunkweadeserve · 146
1 post
AI меняет культуру | Trabun
@danieltrbn · 13,210
1 post
Daniilak — Канал
@daniilak · 3,116
1 post
Deep Learning Highlights
@deeplearninghl · 362
1 post
Derp Learning
@derplearning · 13,893
1 post
Детепр
@detepr · 1,693
1 post
Почему я не девопс
@devnopes · 8
1 post
Открытия
@disc_over · 541
1 post
Dot fun
@dotnet_fun · 5
1 post
Ошибка Саши Томаса
@erobubble · 703
1 post
Форточку открой
@fortochkuotkroi · 242
1 post
Narek | AI & Startups
@fucking_js · 6,892
1 post
технорирующий норкоман
@fuckingdone_tech · 161
1 post
Garbage Collector
@g_coll · 6,884
1 post
gptscience 🤖
@gptscience · 181
1 post
ИИ и Счастье Разума
@happytopmindAI · 113
1 post
в ненастье
@hateread · 84
1 post
Хихидна подкроватная 🛏🦔
@hihidnana · 5
1 post
чэнъуъи на каждый день
@huyidiomy · 198
1 post
Паша Гертман и Большая Удаленка
@kabargazm · 143
1 post
Кабинет Кайфолога
@kaifology · 10,836
1 post
Kislo
@kislomne · 15
1 post
KKK02f
@kkk02f · 1
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 25 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 · 137,610
#1
Сиолошная
@seeallochnaya · 79,594
#2
addmeto
@addmeto · 71,835
#3
UX Live 🔥
@uxlive · 35,985
#4
Derp Learning
@derplearning · 13,893
#5
Ai molodca
@strangedalle · 46,785
#6
Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 14,890
#7
банан.zip
@bananzip · 2,519
#8
Старший Авгур
@senior_augur · 8,118
#9
Neural Meduza
@neuralmeduza · 20,452
#10
Data Secrets
@data_secrets · 94,138
#11
Время Валеры
@cryptovalerii · 30,808
#12
AI для Всех
@nn_for_science · 15,498
#13
Борис опять
@boris_again · 17,621
#14
AI Happens
@aihappens · 14,526
#15
Ppprompt | Sexy AI Prompts & Experiments | by @ponchiknews
@ppprompt · 15,429
#16
Сергей Булаев AI 🤖
@sergiobulaev · 12,598
#17
Метаверсошная
@olya_tashit · 13,039
#18
R77 AI | Кейсы в ИИ (от выпускников МФТИ)
@r77_ai · 7,431
#19
Вечерний Даня (danya.ru)
@vecherniy_danya · 10,062
#20
Not Boring Tech
@notboring_tech · 20,799
#21
Neural Machine
@neuralmachine · 48,649
#22
Сергей Марков: машинное обучение, искусство и шитпостинг
@oulenspiegel_channel · 11,087
#23
что-то на DL-ском
@nadlskom · 5,012
#24
e/acc
@cryptoEssay · 62,598
#25
New Yorko Times
@new_yorko_times · 10,554
#26
ЭйАйЛера
@leraneuralpics · 7,261
#27
Rozetked
@rozetked · 656,361
#28
Generative Anton
@repushko_channel · 5,451
#29
Мишин Лернинг
@mishin_learning · 7,456
#30
Complete AI
@complete_ai · 7,854
#31
ЗаТелеком 🌐
@zatelecom · 64,498
#32
Артемий Лебедев
@temalebedev · 970,618
#33
DLStories
@dl_stories · 15,572
#34
🦖 Айти Тудэй 🦥
@ithueti · 8,575
#35
запуск завтра
@ctodaily · 33,699
#36
КиберОлег 🦄🤖🙌
@cyberoleg · 1,508
#37
Data, Stories and Languages
@datastorieslanguages · 3,701
#38
Нейродвиж
@neuraldvig · 294,501
#39
Knowledge Accumulator
@knowledge_accumulator · 5,686
#40
эйай ньюз
@ai_newz · 96,889
#41
Метаверсище и ИИще
@cgevent · 52,530
#42
CGIT_Vines
@CGIT_Vines · 11,574
#43
Двач
@dvachannel · 938,773
#44
еба́ные идеи для резерча
@ebaresearch · 5,333
#45
Раньше всех. Ну почти.
@bbbreaking · 1,974,402
#46
r/ретранслятор
@retra · 165,571
#47
Kali Novskaya
@rybolos_channel · 19,055
#48
Ньюсач/Двач
@ru2ch · 676,175
#49
Медуза — LIVE
@meduzalive · 1,122,482
#50
Нейронавт | Нейросети в творчестве
@GreenNeuralRobots · 12,999
#51
Нейросети и Блендер
@monkeyinlaw · 12,744
#52
LLM под капотом
@llm_under_hood · 29,146
#53
Dankest Memes // Данкест Мемс
@thedankestmemes · 45,812
#54
Лентач
@lentachold · 392,458
#55
TechSparks
@techsparks · 46,603
#56
Dealer.AI
@dealerAI · 16,667
#57
Machinelearning
@ai_machinelearning_big_data · 279,417
#58
Градиент обреченный
@doomgrad · 8,800
#59
DeepSchool
@deep_school · 10,738
#60
Бэкдор
@whackdoor · 1,603,481
#61
BOGDANISSSIMO
@bogdanisssimo · 6,992
#62
kyrillic
@kyrillic · 60,982
#63
Just links
@j_links · 6,904
#64
Psy Eyes
@Psy_Eyes · 6,983
#65
SVTV NEWS — Либертарианское СМИ
@svtvnews · 113,005
#66
Пездуза
@pezduzalive · 372,470
#67
The After Times
@theaftertimes · 16,799
#68
Эксплойт
@exploitex · 2,048,279
#69
Нейрогороскопы
@neural_horo · 48,099
#70
VG/Двач
@ru2chvg · 181,977
#71
Адовый UX
@uxfromhell · 50,316
#72
AbstractDL
@abstractDL · 18,576
#73
Пекарня
@pekagame · 1,089,162
#74
42 секунды
@ftsec · 19,382
#75
Zavtracast
@zavtracast · 14,671
#76
Вастрик.Клуб
@vas3k_club · 11,261
#77
Екатерина Шульман
@eschulmann · 303,343
#78
Жизнь насекомых
@insect_life · 192,024
#79
Лентач
@oldlentach · 261,008
#80
Код.ру
@d_code · 406,147
#81
Абу
@abuwtf · 243,270
#82
Дудь
@yurydud · 862,341
#83
Киты плывут на вписку с ЛСД
@whalesgohigh · 61,668
#84
кабачковая икра по акции
@sale_caviar · 192,936
#85
Гуфовский
@GGufen · 37,080
#86
Техно Фил
@kontsarenko · 3,985
#87
КПД
@quant_prune_distill · 3,483
#88
нёрд хаб
@nerdhubchannel · 4,644
#89
Нейро Рецепты
@neural_recipes · 8,932
#90
DTF
@dtfbest · 57,722
#91
твиттота
@twitt_ota · 331,915
#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 · 20,452
Telegram ranks this channel #1 of 69 here — alongside 68 others — read 27 September 2026
Нейрогороскопы
@neural_horo · 48,099
Telegram ranks this channel #1 of 83 here — alongside 82 others — read 26 August 2026
Neural Machine
@neuralmachine · 48,649
Telegram ranks this channel #2 of 69 here — alongside 68 others — read 26 August 2026
Ai molodca
@strangedalle · 46,785
Telegram ranks this channel #4 of 94 here — alongside 93 others — read 27 August 2026
Denis Sexy IT 🤖
@denissexy · 137,610
Telegram ranks this channel #4 of 95 here — alongside 94 others — read 13 August 2026
Not Boring Tech
@notboring_tech · 20,799
Telegram ranks this channel #5 of 91 here — alongside 90 others — read 26 September 2026
Ряды Фурье
@Fourier_series · 42,189
Telegram ranks this channel #5 of 93 here — alongside 92 others — read 29 August 2026
N + 1
@nplusone · 64,455
Telegram ranks this channel #5 of 96 here — alongside 95 others — read 21 August 2026
Двоичный кот
@binarcat · 30,827
Telegram ranks this channel #6 of 93 here — alongside 92 others — read 9 September 2026
Dankest Memes // Данкест Мемс
@thedankestmemes · 45,812
Telegram ranks this channel #6 of 76 here — alongside 75 others — read 27 August 2026
Нейроскептик
@neuroskep · 29,464
Telegram ranks this channel #7 of 90 here — alongside 89 others — read 8 September 2026
Сиолошная
@seeallochnaya · 79,594
Telegram ranks this channel #8 of 97 here — alongside 96 others — read 19 August 2026
e/acc
@cryptoEssay · 62,598
Telegram ranks this channel #10 of 96 here — alongside 95 others — read 21 August 2026
addmeto
@addmeto · 71,835
Telegram ranks this channel #11 of 95 here — alongside 94 others — read 20 August 2026
Александр Панчин
@ScienceInquisition · 49,376
Telegram ranks this channel #12 of 97 here — alongside 96 others — read 25 August 2026
Neurogen
@neurogen_news · 22,946
Telegram ranks this channel #13 of 88 here — alongside 87 others — read 19 September 2026
Малоизвестное интересное
@theworldisnoteasy · 73,946
Telegram ranks this channel #13 of 94 here — alongside 93 others — read 19 August 2026
UX Live 🔥
@uxlive · 35,985
Telegram ranks this channel #14 of 86 here — alongside 85 others — read 2 September 2026
gonzo-обзоры ML статей
@gonzo_ML · 24,354
Telegram ranks this channel #17 of 93 here — alongside 92 others — read 16 September 2026
Tips AI | IT & AI
@tips_ai · 25,359
Telegram ranks this channel #18 of 95 here — alongside 94 others — read 14 September 2026
Sber AI
@SberAIScience · 27,144
Telegram ranks this channel #18 of 95 here — alongside 94 others — read 10 September 2026
Странная планета
@strangeplanetrus · 22,609
Telegram ranks this channel #21 of 75 here — alongside 74 others — read 20 September 2026
Hacker News
@hacker_news_feed · 29,771
Telegram ranks this channel #21 of 79 here — alongside 78 others — read 8 September 2026
QWERTY
@qwerty_live · 21,603
Telegram ranks this channel #22 of 94 here — alongside 93 others — read 23 September 2026

This channel appears in 89 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Neural Shit” (@NeuralShit), 53,680 subscribers as measured 18 September 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.