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 why it has no browse page of its own yet.
Growth
33 measurements spanning 43 days, net -127. 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 20,779–20,952 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
17 Sept 2026, 23:20
20,799
-1
15 Sept 2026, 20:59
20,800
-4
14 Sept 2026, 04:19
20,804
-4
12 Sept 2026, 14:38
20,808
+2
10 Sept 2026, 09:58
20,806
-8
7 Sept 2026, 03:58
20,814
-13
4 Sept 2026, 14:59
20,827
-3
3 Sept 2026, 01:45
20,830
-6
1 Sept 2026, 23:26
20,836
-6
1 Sept 2026, 01:45
20,842
-14
31 Aug 2026, 01:05
20,856
-5
30 Aug 2026, 03:13
20,861
-7
29 Aug 2026, 05:47
20,868
-12
28 Aug 2026, 05:05
20,880
+2
26 Aug 2026, 02:04
20,878
-6
25 Aug 2026, 00:43
20,884
-10
23 Aug 2026, 09:06
20,894
-1
21 Aug 2026, 17:39
20,895
+3
20 Aug 2026, 17:42
20,892
+1
19 Aug 2026, 17:13
20,891
first reading
Engagement
41 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 62 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.9%
avg views ÷ 20,799 subscribers
Avg views / post
3,310
8 posts measured
Reaction rate
0.817%
reactions ÷ views · ER floor
Posts in window
8
of 41 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
Window
Rolling 30 days · latest post in window 3 September 2026
Posts held
41 (23 July 2026 – 3 September 2026)
Views total
26,440
Reactions total
216
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 17:39 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
Video runtime
13m 59s
Average length
31s
Measured directly from 27 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
1,704 reactions across 41 posts, in 9 distinct kinds. The most used accounts for 41.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
712
41.8%
👍
411
24.1%
🤯
158
9.27%
🎉
93
5.46%
❤🔥
85
4.99%
😁
68
3.99%
👏
61
3.58%
🤩
60
3.52%
😱
56
3.29%
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 41 of the 41 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 1,704 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 41 most recent posts we hold, published 23 July 2026 to 3 September 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
2.44%
1 of 41 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
5,920
over 40 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
erid
Posts
First seen
Last seen
2W5zFGDjqMB
1
2 September 2026
2 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 41 most recent posts we hold, published 23 July 2026 to 3 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.
☁️ Наступили на грабли внедрения ИИ, чтобы вам не пришлось
Команда K2Тех пробовала разные модели, искала сценарии для ИИ-агентов, выбирала инфраструктуру — и не все получилось с первого раза. Теперь мы готовы честно рассказать, что сработало, а что оказалось пустой тратой времени и бюджета.
8 сентября в 11:00 на совместном вебинаре К2Тех и K2 Cloud покажем:
🟦Какие задачи реально решают LLM и ИИ-агенты на живых сце…
🛒 Anthropic выложила готовый шаблон для создания коммерческих ИИ-агентов — Claude Commerce Agents. Он поможет запустить агентов в индустриях торговли, шопинга, туризма, телекома и развлечений.
Что внутри:
• Шаблоны готовых архитектур, паттернов и промптов для различных агентов-продавцов.
• Они создают магазины, управляют рекламными кампаниями, сравнивают товары, находят билеты и выполняют все функции сейлзов.
• Маг…
🔥 Твоё ИИ-решение — в одной из крупнейших энергетических компаний России
Получи подготовленные данные и разработай ИИ-ассистента для энергетики на соревновании от «Интер РАО» при поддержке «Яндекса». Лучшие проекты смогут стать частью экосистемы компании. Призовой фонд — 750 000 рублей.
Регистрация открыта до 27 сентября.
Стартуем 28 сентября. Разработай концепт проекта: самые сильные идеи участники доработают под…
⚒️ Для поиска лучших скиллов ИИ-агентов сделали ультимативный рейтинг Best Skills — он каждый день (!) анализирует 10 тысяч навыков из 7 источников и строит 9 топов.
В каталоге — что в тренде сегодня, что набирает популярность, что люди на самом деле чаще используют и многое другое. Сейчас в топе agent-browser, frontend-design и find-skills.
Радар для быстрого поиска самых актуальных скиллов — тут.
@notboring_tech
Битрикс24 запустил Коворк/Код — десктопное приложение с AI-коллегой, которому можно поручать рабочие задачи и получать готовый результат.
Самый показательный сценарий выглядит так: пишете одной строкой «Подними все договорённости по проекту за последний месяц, собери статус задач, подготовь отчёт и презентацию к созвону» — и Коворк сам проходит по рабочим данным и собирает результат.
То есть вместо поиска переписок…
🎨 Разраб сделал мастхев для всех, кто выпускает приложения в App Store — генератор скриншотов для страницы в магазине приложений.
Что делает Goldie:
→ Агент автономно исследует ваше приложение, делает скрины и оформляет их в готовые материалы.
→ Все дизайны можно вручную поправить в Studio: поменять стиль, макет, цвета и многое другое.
→ У проекта 100% открытый исходный код.
→ Доступен и как CLI, и как скилл для аг…
🩺 Вышел новый навык для прокачки ваших скиллов до максимума — Skill Doctor изучает ваши чаты в Claude Code, Codex или Warp и оценивает их по эффективности и качеству кода.
Агент смотрит все случаи с ошибками и находит паттерны, которые можно исправить в патче. В результате — наглядный отчёт с оценкой вашего сетапа и предложениями улучшения скиллов.
Вишенка на торте — можно запустить автоматизацию для прокачки навык…
🌉 Читать про венчур в Кремниевой долине из первых уст на русском языке — большая редкость. А читать не скучные посты, а живые разборы — вообще раритет.
Такой канал ведёт Саша Журавлев — инвестор, управляющий и основатель венчурного фонда Mento VC. Фонд инвестирует в гиперрастущие стартапы в США, совместно с top-tier фондами a16z, Sequoia, Google Ventures и другими.
Саша простым языком пишет про свои сделки и инвест…
🔊 Google выкатила ультимативную нейронку для перевода речи в текст — Gemini 3.5 Transcribe в разы лучше понимает живую речь и сразу удаляет все слова-паразиты.
• Убирает все лишние «эээ», «ммм» и автоматически форматирует текст.
• Распознаёт более 85 языков, включая русский.
• Хорошо понимает различные акценты, редкие диалекты и специфические термины.
• Определяет одновременно до 3 спикеров в аудио-записи.
• Умеет в…
🌴 В открытый доступ вышла бесплатная замена Adobe Premiere Pro с ИИ-агентами — Palmier Pro генерирует и монтирует ролики с помощью Claude Code, Codex или Cursor.
Что умеет:
• Вырезает клипы, находит лучшие отрывки, добавляет субтитры, улучшает качество и многое другое.
• Просто опишите нужный кадр или правку в чате, а агенты внесут все изменения прямо в таймлайне.
• Можно подключить Claude Code, Codex или Cursor че…
🎮 Разраб выкатил опенсорс проект Godogen для генерации полноценных игр за один промпт — достаточно описать саму игру, а ИИ-агенты выполнят весь цикл разработки.
→ Godogen создаёт репо, генерирует игровые ассеты, пишет код, запускает движок и многое другое.
→ Агент улучшает результат через цикл контроля качества: делает снимки экрана, ищет баги и сам исправляет их.
→ Под капотом Claude Code или Codex.
→ Можно выбрать…
🚀 Нашёл полезный сервис, который прокачивает GEO (Generative Engine Optimization) — продвижение вашего бренда в ответах нейросетей, как SEO для ИИ.
Попасть в ответы ИИ можно, прогнав бренд по ChatGPT, Perplexity, Claude и остальным моделям, отслеживая позиции. Но делать это каждый раз — долго и тяжело.
Есть сервис ГЕОранк, который собирает аналитику по основным нейросетям в один дашборд:
• Можно посмотреть, по как…
🔥11😁10🤯6👍3🎉2
Showing the 12 most recent of 41 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.
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 38 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 · 46,785 Telegram ranks this channel #20 of 94 here — alongside 93 others — read 27 August 2026
Neural Shit @NeuralShit · 53,680 Telegram ranks this channel #21 of 92 here — alongside 91 others — read 24 August 2026
Метаверсище и ИИще @cgevent · 52,530 Telegram ranks this channel #22 of 92 here — alongside 91 others — read 25 August 2026
Технологии | Нейросети | Боты @aiaiai · 176,423 Telegram ranks this channel #24 of 93 here — alongside 92 others — read 12 August 2026
Lama AI @lama_channel_gpt · 24,736 Telegram ranks this channel #27 of 90 here — alongside 89 others — read 15 September 2026
Двоичный кот @binarcat · 30,827 Telegram ranks this channel #28 of 93 here — alongside 92 others — read 9 September 2026
Sber AI @SberAIScience · 27,144 Telegram ranks this channel #29 of 95 here — alongside 94 others — read 10 September 2026
Bard AI | Нейросети & IT @NeuralToday · 30,361 Telegram ranks this channel #32 of 85 here — alongside 84 others — read 7 September 2026
Малоизвестное интересное @theworldisnoteasy · 73,946 Telegram ranks this channel #35 of 94 here — alongside 93 others — read 19 August 2026
Neurogen @neurogen_news · 22,946 Telegram ranks this channel #37 of 88 here — alongside 87 others — read 19 September 2026
Neural Brain - Нейросети @neural_braining · 21,591 Telegram ranks this channel #43 of 90 here — alongside 89 others — read 23 September 2026
эйай ньюз @ai_newz · 96,889 Telegram ranks this channel #44 of 94 here — alongside 93 others — read 16 August 2026
Басов про стартапы @zeroton · 24,339 Telegram ranks this channel #46 of 96 here — alongside 95 others — read 16 September 2026
Tips AI | IT & AI @tips_ai · 25,359 Telegram ranks this channel #47 of 95 here — alongside 94 others — read 14 September 2026
Denis Sexy IT 🤖 @denissexy · 137,325 Telegram ranks this channel #49 of 95 here — alongside 94 others — read 13 August 2026
КиберПанк | Технологии Будущего | Technology @technology_future_cyberpunk · 37,246 Telegram ranks this channel #56 of 84 here — alongside 83 others — read 1 September 2026
НейроProfit | Соня Pro Ai @NeuralProfit · 23,415 Telegram ranks this channel #57 of 96 here — alongside 95 others — read 18 September 2026
Силиконовый Мешок @prompt_design · 86,986 Telegram ranks this channel #57 of 96 here — alongside 95 others — read 18 August 2026
CyberYozh AI Security @CyberYozh_AI_security · 26,487 Telegram ranks this channel #59 of 91 here — alongside 90 others — read 12 September 2026
This channel appears in 19 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Not Boring Tech” (@notboring_tech), 20,799 subscribers as measured 17 September 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.