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Channel

Искусственный интеллект. Высокие технологии

@vistehno

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

70,196subscribers

-2,508 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001476959149
TypeChannel
Username@vistehno
DescriptionНаука, технологии, изобретения и урбанистика — прямо сейчас говорим о том, что уже скоро повлияет на каждого. админ - @haarrp @itchannels_telegram -🔥best channels РКН: clck.ru/3FmsmC #VRHSZ
Created14 January 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/vistehno

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 96% 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.

Growth

70,19672,70871,4526 August 2026 — 72,704 subscribers6 August 2026 — 72,708 subscribers7 August 2026 — 72,667 subscribers9 August 2026 — 72,621 subscribers10 August 2026 — 72,589 subscribers11 August 2026 — 72,568 subscribers12 August 2026 — 72,553 subscribers13 August 2026 — 72,517 subscribers14 August 2026 — 72,464 subscribers15 August 2026 — 72,415 subscribers17 August 2026 — 72,379 subscribers18 August 2026 — 72,351 subscribers19 August 2026 — 72,317 subscribers20 August 2026 — 72,286 subscribers21 August 2026 — 72,242 subscribers22 August 2026 — 72,222 subscribers24 August 2026 — 72,173 subscribers25 August 2026 — 72,134 subscribers26 August 2026 — 72,095 subscribers27 August 2026 — 72,048 subscribers28 August 2026 — 72,007 subscribers29 August 2026 — 71,972 subscribers30 August 2026 — 71,935 subscribers31 August 2026 — 71,919 subscribers1 September 2026 — 71,885 subscribers2 September 2026 — 71,840 subscribers4 September 2026 — 71,803 subscribers6 September 2026 — 71,809 subscribers9 September 2026 — 71,699 subscribers11 September 2026 — 71,618 subscribers13 September 2026 — 71,564 subscribers15 September 2026 — 71,549 subscribers17 September 2026 — 71,491 subscribers28 September 2026 — 71,128 subscribers5 October 2026 — 71,011 subscribers9 October 2026 — 70,921 subscribers13 October 2026 — 70,767 subscribers14 October 2026 — 70,758 subscribers15 October 2026 — 70,745 subscribers17 October 2026 — 70,710 subscribers17 October 2026 — 70,718 subscribers18 October 2026 — 70,708 subscribers19 October 2026 — 70,689 subscribers21 October 2026 — 70,661 subscribers22 October 2026 — 70,714 subscribers23 October 2026 — 70,677 subscribers24 October 2026 — 70,645 subscribers25 October 2026 — 70,622 subscribers26 October 2026 — 70,575 subscribers27 October 2026 — 70,548 subscribers28 October 2026 — 70,515 subscribers29 October 2026 — 70,471 subscribers30 October 2026 — 70,405 subscribers31 October 2026 — 70,351 subscribers1 November 2026 — 70,329 subscribers2 November 2026 — 70,290 subscribers3 November 2026 — 70,260 subscribers4 November 2026 — 70,231 subscribers5 November 2026 — 70,223 subscribers6 November 2026 — 70,196 subscribers6 August 20266 November 2026
60 measurements spanning 93 days, net -2,508. 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 69,819–73,085 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
6 Nov 2026, 21:2070,196-27
5 Nov 2026, 23:2470,223-8
4 Nov 2026, 19:4770,231-29
3 Nov 2026, 20:0170,260-30
2 Nov 2026, 22:4770,290-39
1 Nov 2026, 20:5170,329-22
31 Oct 2026, 19:5770,351-54
30 Oct 2026, 16:4670,405-66
29 Oct 2026, 13:3770,471-44
28 Oct 2026, 09:1970,515-33
27 Oct 2026, 07:0970,548-27
26 Oct 2026, 05:5670,575-47
25 Oct 2026, 03:3870,622-23
24 Oct 2026, 00:0670,645-32
23 Oct 2026, 02:4770,677-37
22 Oct 2026, 03:2870,714+53
21 Oct 2026, 01:1870,661-28
19 Oct 2026, 22:2970,689-19
18 Oct 2026, 23:5670,708-10
17 Oct 2026, 22:2070,718first reading

Engagement

232 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 191 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.22%
avg views ÷ 70,196 subscribers
Avg views / post
5,770
74 posts measured
Reaction rate
0.916%
reactions ÷ views · ER floor
Posts in window
74
of 232 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 6 November 2026
Posts held232 (28 July 2026 – 6 November 2026)
Views total426,790
Reactions total3,911
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 23:44 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
≈1,820
Videos
≈1,600
Links
≈2,430

Lifetime counters from Telegram’s own channel header, read 6 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
49m 01s
Average length
2m 08s

Measured directly from 23 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

11,045 reactions across 226 posts, in 8 distinct kinds. The most used accounts for 28.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥3,10828.1%
❤1,93317.5%
⚡1,89417.1%
👍1,87417.0%
😱1,26311.4%
😁8587.77%
🥰670.607%
💋480.435%

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 232 of the 232 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 11,438 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 232 most recent posts we hold, published 28 July 2026 to 6 November 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.

Advertising

Ad load
3.88%
9 of 232 posts carry an ad marker
Regulatory tokens
9
posts carrying an erid · 9 distinct tokens
Median views · ads
5,560
over 9 measured posts
Median views · rest
5,720
over 223 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
2VtzqueMff1113 August 202613 August 2026
2VtzqumWufp129 July 202629 July 2026
2W5zFGYwzAu17 September 20267 September 2026
2W5zFHTDP7F13 September 20263 September 2026
2W5zFJTx1ms121 October 202621 October 2026
2W5zFJXQUmf121 August 202621 August 2026
2W5zFK69HE1121 September 202621 September 2026
CQH36pWzJqE1dR7FktRo7WfzVXYLRVLhzjXQeTY6peNWVH18 September 20268 September 2026
CQH36pWzJqE1dR7FvSMZafi3rJouktvuH5eZ1HLvE79eiw124 August 202624 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 232 most recent posts we hold, published 28 July 2026 to 6 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: 5 of 74 posts held from the last 30 days (6.76%) 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).

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Showing the 12 most recent of 232 posts we hold for @vistehno. 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 recorded as deleted after publishing

We recorded 5 posts on @vistehno as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
11 August 2026
Most recent seen missing
21 October 2026
Median time before seen missing
30 hours
Seen missing in the last 30 days
1

Forward network

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 49 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.

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#29
GPT Access | про нейросети
@gpt_access · 3,006
#30
GPT | ChatGPT | Midjourney — GPTMain News
@GPTMainNews · 1,568,244
#31
Dealer.AI
@dealerAI · 17,075
#32
[PYTHON:TODAY]
@python2day · 63,378
#33
Технологии | Нейросети | Боты
@aiaiai · 174,488
#34
Институт AIRI
@airi_research_institute · 13,960
#35
Агенты ИИ | AGI_and_RL
@AGI_and_RL · 6,274
#36
Технотренды
@techno_media · 921,334
#37
Чёрный Треугольник
@black_triangle_tg · 63,971
#38
Хабр
@habr_com · 134,298
#39
Kali Novskaya
@rybolos_channel · 19,138
#40
Neural Shit
@NeuralShit · 54,647
#41
Complete AI
@complete_ai · 7,880
#42
Борис опять
@boris_again · 17,967
#43
addmeto
@addmeto · 71,985
#44
Derp Learning
@derplearning · 14,000
#45
Библиотека дата-сайентиста | Data Science, Machine learning, анализ данных, машинное обучение
@dsproglib · 18,299
#46
CodeCamp
@codecamp · 177,832
#47
Библиотека собеса по Data Science | вопросы с собеседований
@ds_interview_lib · 4,462
#48
Social Engineering
@Social_engineering · 124,752
#49
GPT/ChatGPT/AI Central Александра Горного
@aioftheday · 44,575
#50
POINT | Нейросети
@gptpublic · 259,517
#51
База знаний AI
@ict_moscow_ai · 9,057
#52
AI для Всех
@nn_for_science · 15,475
#53
Жёлтый AI
@zheltyi_ai · 9,371
#54
Sber AI
@SberAIScience · 26,546
#55
Neurohive
@neurohive · 5,594
#56
GitHub Community
@github · 155,121
#57
Data Secrets | Карьера
@data_secrets_career · 7,384
#58
Малоизвестное интересное
@theworldisnoteasy · 74,240
#59
Библиотека задач по Data Science | тесты, код, задания
@ds_problems_lib · 3,970
#60
Programmer & IT Memes
@itmemes · 121,992
#61
R77 AI | Кейсы в ИИ (от выпускников МФТИ)
@r77_ai · 7,500
#62
Рестарт
@remedia · 669,433
#63
Бэкспейс & Нейролента
@backspace_media · 30
#64
ТЕХНО: Яндекс про технологии
@techno_yandex · 219,275
#65
Start Career in DS
@start_ds · 11,471
#66
Pine Forest AI | Новости ИИ | Разработка AI-решений (ИИ-агенты, чат-боты и т. д.)
@pine_forest_ai · 566
#67
Машиннное обучение | Наука о данных Библиотека
@machinelearning_books · 16,969
#68
Python/ django
@pythonl · 58,373
#69
Эксплойт
@exploitex · 2,028,945
#70
DevOps
@DevOPSitsec · 23,872
#71
Data Science Jobs
@datascienceml_jobs · 21,638
#72
Бэкдор
@whackdoor · 1,542,951
#73
Golang
@Golang_google · 40,479
#74
Метаверсище и ИИще
@cgevent · 53,530
#75
Kali Linux
@linuxkalii · 55,826
#76
Старший Авгур
@senior_augur · 8,364
#77
Physics.Math.Code
@physics_lib · 146,706
#78
TrendWatching
@trendwatching24 · 1,381,683
#79
Linux Academy
@linuxacademiya · 28,653
#80
LLM под капотом
@llm_under_hood · 30,121
#81
Английский для программистов
@english_forprogrammers · 8,245
#82
IT мемы | Мемы программиста
@memes_prog · 6,225
#83
Время Валеры
@cryptovalerii · 32,021
#84
C++ Academy
@cpluspluc · 15,464
#85
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 47,077
#86
Python Developer
@python_tg · 21,210
#87
Rust
@rust_code · 9,143
#88
Open Source
@open_source_friend · 52,614
#89
Python Jobs
@python_djangojobs · 15,130
#90
Linux Books
@linux_read · 16,198
#91
Не баг, а фича
@bugnotfeature · 1,160,745
#92
📚Python Books
@pythonlbooks · 33,200
#93
Простой Python | Программирование
@python_piton_javascript · 123,993
#94

Read from Telegram’s recommendation API, most recently 20 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.

ГуголЪ | IT и Тренды
@google_trends2 · 383,229
Telegram ranks this channel #2 of 88 here — alongside 87 others — read 10 August 2026
IT с перцем
@hotcodeit · 151,760
Telegram ranks this channel #10 of 77 here — alongside 76 others — read 12 August 2026
Костыль
@kostylofficial · 1,303,373
Telegram ranks this channel #15 of 72 here — alongside 71 others — read 12 August 2026
Data Science. SQL hub
@sqlhub · 36,042
Telegram ranks this channel #16 of 87 here — alongside 86 others — read 2 September 2026
Data Science
@datascienceiot · 42,540
Telegram ranks this channel #18 of 76 here — alongside 75 others — read 29 August 2026
Machinelearning
@ai_machinelearning_big_data · 276,200
Telegram ranks this channel #18 of 95 here — alongside 94 others — read 10 August 2026
Data Science | Machinelearning [ru]
@devsp · 19,680
Telegram ranks this channel #20 of 91 here — alongside 90 others — read 30 September 2026
Анализ данных (Data analysis)
@data_analysis_ml · 51,929
Telegram ranks this channel #21 of 93 here — alongside 92 others — read 25 August 2026
Python вопросы с собеседований
@python_job_interview · 24,928
Telegram ranks this channel #24 of 90 here — alongside 89 others — read 15 September 2026
PROAI
@pro_ai_news · 87,605
Telegram ranks this channel #27 of 92 here — alongside 91 others — read 16 August 2026
НейроТудей | Переходник
@NeuralToday · 4
Telegram ranks this channel #34 of 85 here — alongside 84 others — read 7 September 2026
Chad GPT | Нейросети
@AI_Chad · 20,717
Telegram ranks this channel #37 of 79 here — alongside 78 others — read 24 September 2026
Sber AI
@SberAIScience · 26,546
Telegram ranks this channel #44 of 95 here — alongside 94 others — read 10 September 2026
AI Университет
@neural_university_webinar · 37,080
Telegram ranks this channel #48 of 96 here — alongside 95 others — read 31 August 2026
GPT-4 Community
@gpt4_tg · 52,740
Telegram ranks this channel #55 of 90 here — alongside 89 others — read 23 August 2026
MDJ Prompts
@mdj_school · 24,194
Telegram ranks this channel #56 of 88 here — alongside 87 others — read 15 September 2026
Python/ django
@pythonl · 58,373
Telegram ranks this channel #65 of 84 here — alongside 83 others — read 22 August 2026
Midjourney Prompts
@digital_midjourney · 28,849
Telegram ranks this channel #69 of 81 here — alongside 80 others — read 8 September 2026
Machine learning Interview
@machinelearning_interview · 30,581
Telegram ranks this channel #74 of 98 here — alongside 97 others — read 7 September 2026
DevOps
@DevOPSitsec · 23,872
Telegram ranks this channel #76 of 90 here — alongside 89 others — read 18 September 2026
Data Science Jobs
@datascienceml_jobs · 21,638
Telegram ranks this channel #92 of 97 here — alongside 96 others — read 24 September 2026

This channel appears in 21 seed channels' Telegram-generated recommendation lists 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“Искусственный интеллект. Высокие технологии” (@vistehno), 70,196 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/vistehno.

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.