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Channel

Not Boring Tech

@notboring_tech

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

21,122subscribers

+196 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001346439625
TypeChannel
Username@notboring_tech
DescriptionПишу про мир технологий и стартапов 🤖💖 Связь/сотрудничество: @fraizy_qwerty Чат канала: @neural_chat Реестр: https://rkn.link/KZO
Created3 August 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/notboring_tech

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

20,78521,12220,953.56 August 202610 November 2026
63 measurements spanning 96 days, net +196. 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 20,734–21,173 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
10 Nov 2026, 00:1921,122+3
8 Nov 2026, 14:1521,119+8
7 Nov 2026, 11:1521,111+8
6 Nov 2026, 08:1021,103+12
5 Nov 2026, 11:0821,091+19
4 Nov 2026, 12:2921,072+14
3 Nov 2026, 09:3721,058+42
2 Nov 2026, 06:0121,016+8
1 Nov 2026, 08:2721,008+2
31 Oct 2026, 06:2721,006+38
30 Oct 2026, 04:2820,968+183
29 Oct 2026, 01:1020,785-9
27 Oct 2026, 22:5020,794+2
26 Oct 2026, 23:2520,792+1
25 Oct 2026, 23:0820,791-3
25 Oct 2026, 00:3920,794-4
24 Oct 2026, 03:3120,798-2
23 Oct 2026, 02:4620,800+2
21 Oct 2026, 23:5820,798-2
20 Oct 2026, 19:4920,800first reading

Engagement

62 posts held, back to 23 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 82 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
36.7%
avg views ÷ 21,122 subscribers
Avg views / post
7,750
21 posts measured
Reaction rate
0.741%
reactions ÷ views · ER floor
Posts in window
21
of 62 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 10 November 2026
Posts held62 (23 July 2026 – 10 November 2026)
Views total162,850
Reactions total1,207
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 19:35 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
≈1,370
Videos
≈1,190
Links
≈2,750

Lifetime counters from Telegram’s own channel header, read 10 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
22m 54s
Average length
34s

Measured directly from 40 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

2,911 reactions across 62 posts, in 9 distinct kinds. The most used accounts for 40.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1,18540.7%
👍72124.8%
❤‍🔥2378.14%
🤯2147.35%
😁1314.50%
🎉1244.26%
👏1133.88%
🤩1113.81%
😱752.58%

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 62 of the 62 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 2,911 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 62 most recent posts we hold, published 23 July 2026 to 10 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
1.61%
1 of 62 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
2,870
over 1 measured post
Median views · rest
6,370
over 61 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
2W5zFGDjqMB12 September 20262 September 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 62 most recent posts we hold, published 23 July 2026 to 10 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: 0 of 21 posts held from the last 30 days (0%) 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).

10 Nov 2026, 00:37 UTC≈2,550 views49 reactionsread 10 November 2026
Photo

🎓 Появилась удобная библиотека лекций от ведущих специалистов по ИИ — из OpenAI, Anthropic и других топовых компаний. В базе лежат 1467 выступлений про агентов, инфраструктуру и многое другое. К каждому докладу прилагается не только само видео, но и полная расшифровка, краткая аннотация, подробный разбор по главам и слайды из презентации. Также доступен поиск по темам, спикерам и ивентам. Сохраняйте — тут. @notbor…

❤‍🔥15🔥14👍12👏5🤩3

7 Nov 2026, 21:40 UTC≈4,670 views53 reactionsread 10 November 2026
Photo

🔍 На GitHub выложили целый сборник тулз для реверс-инженеринга любых сайтов, приложений и игр — внутри лежат 1253 источника, 431 практический кейс, 235 научных работ и 3309 готовых репозиториев. Часть инструментов можно подключить к ИИ-агентам через MCP-серверы, а также использовать всю библиотеку как базу знаний для ИИ. Это поможет быстро и качественно повторить функционал любого софта в вашем проекте. Википедия д…

👍29❤‍🔥11🤯7👏5🤩1

6 Nov 2026, 20:17 UTC≈5,350 views43 reactionsread 10 November 2026
Video

🍿 Появился новый скилл для генерации любых видео с помощью кода на JavaScript — Cinecode создаёт короткометражки, мультфильмы, рекламу, клипы, объясняющие ролики и даже длинные видео для YouTube. Агент по одному запросу пишет сценарий, рисует каждый кадр кодом, создаёт 2D и 3D-анимации, добавляет звук, записывает озвучку и делает монтаж. В итоге получается готовое видео в МР4 даже дольше 10 минут. Работает с Claude…

👍22🔥13🤯4🎉2👏2

5 Nov 2026, 22:45 UTC≈5,850 views47 reactionsread 10 November 2026
Video

🍯 Нашёл базу с качественными дизайнами 1270+ реальных сайтов — можно выбрать любой понравившийся лендинг, скачать его design.md и передать файл Claude Code, Codex или Cursor. ИИ-агент будет использовать рекомендации по оформлению, цветовую палитру и типографию, чтобы воссоздать интерфейсы в том же визуальном стиле. Работает бесплатно и без регистрации. Кладём в закладки — тут. @notboring_tech

🔥20👍12❤‍🔥9🎉3😁3

4 Nov 2026, 22:15 UTC≈7,450 views57 reactionsread 10 November 2026
Video

🕹️ Вышел автономный тестировщик игр — самоулучшающийся агент Autopilot запускает игру, изучает код, проводит тесты, пробует геймплей и находит баги, с каждым разом играя всё умнее. Что умеет: • Поддерживает Unreal Engine 5, Unity 6 и Godot 4 на Windows и macOS. • На 28,7% точнее Claude Code и в 3 раза быстрее их предыдущего агента. • Выполняет 4 типа задач: проверка всей игры и поиск багов в уровне, а также тесты к…

🔥29😁9👍8👏6❤‍🔥5

3 Nov 2026, 22:32 UTC≈6,370 views60 reactionsread 10 November 2026
Video

👾 Разработчик игр написал целый гайд по созданию впечатляющих эффектов пиксельной графики с помощью Claude Code — от огня и взрывов до магии и анимации персонажей. На основе его методики создали библиотеку из 244 готовых анимаций для использования в своих играх. Также там лежит скилл для генерации абсолютно новых эффектов в пиксельном стиле. Сохраняем — тут. @notboring_tech

🔥27❤‍🔥16👍9🎉6👏2

2 Nov 2026, 23:31 UTC≈7,850 views65 reactionsread 10 November 2026
Video

🎥 В опенсорс вышла полностью локальная ИИ-киностудия — Mago Studio работает на вашей GPU и бесплатно генерирует любой фильм по вашему запросу, идее или сценарию. • На выбор — много готовых пайплайнов для генерации картинок, видео и короткометражек. • ИИ-агенты пишут сценарий, подбирают персонажей, рисуют раскадровки и снимают последовательные сцены. • Можно менять стиль съёмки, применять маски в отельных кадрах и мо…

🔥26👍15😁12🤯8👏4

2 Nov 2026, 00:02 UTC≈6,980 views55 reactionsread 10 November 2026
Photo

🐳 DeepSeek выложила автономного суперагента для GitHub — он запускает множество ИИ-агентов, чтобы те параллельно работали с GitHub Issues, пул-реквестами и другими задачами. Главный принцип: минимум вашего внимания, максимум автономности и пользы. Агент действует по заранее заданным правилам и не отвлекает без реальной необходимости. Что умеет: • Следит за событиями GitHub и сообщениями в Feishu. • Создаёт отдельн…

🔥29👏9❤‍🔥7👍5🤯5

30 Oct 2026, 22:13 UTC≈7,930 views55 reactionsread 10 November 2026
Video

🚀 Вышел первый скилл для воссоздания любых анимаций в вашем проекте — /reanimate реконструирует нужную анимацию кадр за кадром из любого сайта, записи экрана или GIF. Агент записывает видео, повторяет его в вашем коде с помощью CSS, Framer Motion, GSAP или Three.js, а затем сравнивает результат с оригиналом и автоматически исправляет ошибки. Скилл переносит даже сложные 3D-анимации, Canvas, WebGL и WebGPU — расхожд…

🔥26👍12🤩10❤‍🔥5👏2

30 Oct 2026, 12:01 UTC≈8,110 views44 reactionsread 10 November 2026
Video

🔋 Microsoft выпустила TokenEconomizer — полезный плагин для экономии токенов в Claude Code, Codex, Copilot CLI и Pi. Судя по бенчмаркам, он снижает среднюю стоимость работы ИИ-агентов на 18,4-30,9% без потери в качестве. Тулза учится на истории предыдущих сессий в репозитории — запоминает успешные команды, отключает неиспользуемые инструменты и помогает агентам выходить из циклов повторяющихся ошибок. Экономим токе…

🔥20❤‍🔥8😱6🤩5😁5

29 Oct 2026, 23:58 UTC≈7,720 views65 reactionsread 10 November 2026
Video

🎙️ NVIDIA запустила лучшую модель для распознавания речи в диалогах — Nemotron 3.5 Transcribe расшифровывает аудио в текст, даже когда в одной записи перемешиваются много собеседников. Что умеет: → Знает 40 языков, включая русский, и поддерживает почти все фичи на русском. → Различает собеседников во время диалога и расставляет временные метки для каждого слова. → Переводит речь на другие языки, убирает слова-параз…

🔥30❤‍🔥18👍9👏4🤯4

28 Oct 2026, 21:27 UTC≈8,210 views56 reactionsread 10 November 2026
Photo

🔎 В открытый доступ вышла Unlimited-OCR 2 — самая мощная модель для распознавания текста, которая обрабатывает тысячи страниц за раз. • Вытаскивает текст, таблицы и формулы из PDF, сканов и фотографий. • Сохраняет контекст между страницами — распознает даже таблицы, которые продолжаются на следующем развороте. • Экономит расход памяти — не перечитывает весь документ заново, а использует только нужные фрагменты. • От…

🔥28👍17❤‍🔥5🎉3🤩3

Showing the 12 most recent of 62 posts we hold for @notboring_tech. 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

@notboring_tech 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
7 November 2026
Most recent edit
7 November 2026

Posts recorded as deleted after publishing

We recorded 12 posts on @notboring_tech 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
7 August 2026
Most recent seen missing
8 November 2026
Median time before seen missing
5 days
Seen missing in the last 30 days
5

Forward network

Republished by

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

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 40 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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@mishin_learning · 7,452
#50
ИИволюция 👾
@ai_volution · 12,148
#51
AbstractDL
@abstractDL · 18,849
#52
addmeto
@addmeto · 72,001
#53
Psy Eyes
@Psy_Eyes · 7,063
#54
Раньше всех. Ну почти.
@bbbreaking · 1,975,436
#55
e/acc
@cryptoEssay · 63,613
#56
Эксплойт
@exploitex · 2,022,997
#57
Бэкдор
@whackdoor · 1,538,229
#58
TechSparks
@techsparks · 46,736
#59
kyrillic
@kyrillic · 61,235
#60
VOIC: о технологиях и людях
@voictech · 5,663
#61
нёрд хаб
@nerdhubchannel · 4,572
#62
Сергей Булаев AI 🤖
@sergiobulaev · 12,588
#63
Дизраптор
@disruptors_official · 72,494
#64
vc.ru
@vcnews · 112,144
#65
r/ретранслятор
@retra · 165,780
#66
LLM под капотом
@llm_under_hood · 30,219
#67
Dealer.AI
@dealerAI · 17,113
#68
Банкста
@banksta · 439,838
#69
Старший Авгур
@senior_augur · 8,372
#70
42 секунды
@ftsec · 19,390
#71
кабачковая икра по акции
@sale_caviar · 192,540
#72
Open Source
@open_source_friend · 52,669
#73
Грокс
@groks · 42,476
#74
Фичизм
@fichism · 25,275
#75
Техно Фил
@kontsarenko · 3,955
#76
лидер мнений среди удобрений
@lider · 175,531
#77
Антонов такой Антонов
@auantonov · 321,546
#78
что-то на DL-ском
@nadlskom · 5,152
#79
TrendWatching
@trendwatching24 · 1,375,035
#80
Just links
@j_links · 6,943
#81
New Yorko Times
@new_yorko_times · 10,720
#82
ArtAi
@motivationarts · 479
#83
бумеры смотрят телек
@boomers_TV · 156,897
#84
Kedr to Earth | Земля, я Кедр
@kedr2earth · 10,134
#85
Nerual Dreming и нейросети
@neuro_art0 · 9,768
#86
RationalAnswer | Павел Комаровский
@RationalAnswer · 110,207
#87
Сергей Марков: машинное обучение, искусство и шитпостинг
@oulenspiegel_channel · 12,374
#88
Zavtracast
@zavtracast · 14,734
#89
DTF
@dtfbest · 57,966
#90
Адовый UX
@uxfromhell · 50,311
#91

Read from Telegram’s recommendation API, most recently 26 September 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.

Ai molodca
@strangedalle · 47,602
Telegram ranks this channel #20 of 94 here — alongside 93 others — read 27 August 2026
Neural Shit
@NeuralShit · 54,643
Telegram ranks this channel #21 of 92 here — alongside 91 others — read 24 August 2026
Метаверсище и ИИще
@cgevent · 53,591
Telegram ranks this channel #22 of 92 here — alongside 91 others — read 25 August 2026
Технологии | Нейросети | Боты
@aiaiai · 174,248
Telegram ranks this channel #24 of 93 here — alongside 92 others — read 12 August 2026
Lama AI
@lama_channel_gpt · 24,038
Telegram ranks this channel #27 of 90 here — alongside 89 others — read 15 September 2026
Двоичный кот
@binarcat · 30,751
Telegram ranks this channel #28 of 93 here — alongside 92 others — read 9 September 2026
Sber AI
@SberAIScience · 26,512
Telegram ranks this channel #29 of 95 here — alongside 94 others — read 10 September 2026
НейроТудей | Переходник
@NeuralToday · 4
Telegram ranks this channel #32 of 85 here — alongside 84 others — read 7 September 2026
Малоизвестное интересное
@theworldisnoteasy · 74,298
Telegram ranks this channel #35 of 94 here — alongside 93 others — read 19 August 2026
Neurogen
@neurogen_news · 22,916
Telegram ranks this channel #37 of 88 here — alongside 87 others — read 19 September 2026
Neural Brain - Нейросети
@neural_braining · 21,230
Telegram ranks this channel #43 of 90 here — alongside 89 others — read 23 September 2026
эйай ньюз
@ai_newz · 98,262
Telegram ranks this channel #44 of 94 here — alongside 93 others — read 16 August 2026
Басов про стартапы
@zeroton · 24,070
Telegram ranks this channel #46 of 96 here — alongside 95 others — read 16 September 2026
Tips AI | IT & AI
@tips_ai · 25,767
Telegram ranks this channel #47 of 95 here — alongside 94 others — read 14 September 2026
Denis Sexy IT 🤖
@denissexy · 140,753
Telegram ranks this channel #49 of 95 here — alongside 94 others — read 13 August 2026
Бурый
@sburyi · 20,159
Telegram ranks this channel #54 of 93 here — alongside 92 others — read 4 October 2026
КиберПанк | Технологии Будущего | Technology
@technology_future_cyberpunk · 37,174
Telegram ranks this channel #56 of 84 here — alongside 83 others — read 1 September 2026
НейроProfit | Соня Pro Ai
@NeuralProfit · 23,625
Telegram ranks this channel #57 of 96 here — alongside 95 others — read 18 September 2026
Силиконовый Мешок
@prompt_design · 92,791
Telegram ranks this channel #57 of 96 here — alongside 95 others — read 18 August 2026
CyberYozh AI Security
@CyberYozh_AI_security · 26,008
Telegram ranks this channel #59 of 91 here — alongside 90 others — read 12 September 2026

This channel appears in 20 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Not Boring Tech” (@notboring_tech), 21,122 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/notboring_tech.

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.