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Channel

Без шуток

@nokiddingpartners

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

217subscribers

+5 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001811595293
TypeChannel
Username@nokiddingpartners
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live19 September 2026
Measurements held4
Confirmed unchanged2 times, most recently 19 September 2026
On Telegramt.me/nokiddingpartners

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 24 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

212217214.58 August 2026 — 212 subscribers8 August 2026 — 212 subscribers25 August 2026 — 215 subscribers11 September 2026 — 217 subscribers8 August 202611 September 2026
4 measurements spanning 34 days, net +5. 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 211–218 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Sept 2026, 00:18217+2
25 Aug 2026, 01:52215+3
8 Aug 2026, 11:00212no change
8 Aug 2026, 02:49212first reading

Engagement

9 posts held, back to 16 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

97 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 67.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6567.0%
🤔1919.6%
🤣99.28%
🤩44.12%

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 9 of the 9 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 97 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 16 December 2025 to 5 August 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 9 we hold a reading for · 11%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nokiddingpartners. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 9 most recent posts we hold for this entry, published 16 December 2025 to 5 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

5 Aug 2026, 16:09 UTC135 views6 reactionsread 8 August 2026
File

🤖 Агент или чат-бот? Определяем агента по 6 критериям Вышло неплохое исследование ИИ-агентов от "Яков и Партнёры" (ex. McKinsey), которое даёт четкое определение тому, что же всё-таки считать ИИ-агентом, а что - дорогостоящим чат-ботом с красивым названием. 🔥 Главный парадокс: внедрение ≠ прибыль • 88% компаний используют ИИ хотя бы в одной из функций, но положительный эффект на прибыль заявляют лишь 6%. • В России…

❤4🤔2

14 Jul 2026, 12:03 UTC141 views13 reactionsread 8 August 2026
Forwarded from @DukhovnyAiPhoto

Свежий AI Jobs Barometer от PwC — пожалуй, одно из самых человечных исследований про ИИ. В нём проанализировали более миллиарда вакансий на шести континентах — и картина оказалась сложнее, чем «нейросети всех заменят». Главный вывод: ИИ не отменяет человека. Он меняет то, за что человеку платят. Пока ИИ забирает рутину — поиск информации, первый черновик, типовые письма, базовую аналитику, часть кода — растёт ценно…

❤8🤩3🤔2

14 Jun 2026, 11:18 UTC241 views7 reactionsread 8 August 2026
Forwarded from @midov_tripPhoto

Подгон: собрал 754 питчдека на ~2 ГБ, включая самые легендарные: первый дек Airbnb, Uber, Loom и тд. Весь список с описанием выложил на GitHub - если кинете звёздочку🌟, буду рад: https://github.com/midovislam/awesome-pitch-decks Сами файлы лежат у меня в Google Drive, качайте на здоровье: https://clck.ru/3U5jba Базу особо не чистил, но она очень прикольная. Если в одну фразу упихнуть вывод базы: успешность фандрей…

❤5🤔2

18 Apr 2026, 08:28 UTC458 views10 reactionsread 8 August 2026
File

🎧 Подкаст выходного дня: как системно мыслить в эпоху ИИ Если хотите провести время с пользой и получить прикладные знания для работы с агентными системами - послушайте подкаст "Системное мышление для инженера" с Иваном Закутным. В нём простым языком погружают в FPF (First Principles Framework) и системную инженерию, подходы которой универсальны и применимы во всех сферах жизни: от создания кода и архитектуры до реш…

❤8🤔1🤩1

13 Apr 2026, 16:20 UTC481 views12 reactions1 Starread 8 August 2026
Photo

Наткнулась на статью McKinsey про "агентные организации" в эпоху ИИ от сентября прошлого года. В ней приводят следующую картину изменения навыков: • M-shaped supervisors — надзиратели ИИ с широким кругозором и общим пониманием, умелые в оркестрации гибридной рабочей силы (ИИ+человек) в разных доменах. В отличие от текущих проектных менеджеров и тимлидов, должны понимать как выстраивать полный цикл и уметь передавать…

❤7🤔5

16 Mar 2026, 10:22 UTC670 views10 reactionsread 8 August 2026

🚰 Оплата ИИ по счетам ЖКХ Пару дней назад на саммите BlackRock Infrastructure Сёма Альтман заявил, что ИИ будет предоставляться населению как коммунальные услуги: “Мы видим будущее, в котором интеллект станет таким же ресурсом общественного пользования, как электричество или вода. Люди будут покупать его у нас по счетчику и использовать для своих нужд.” Эта фраза не только указывает на потенциальный отказ индустрии…

❤6🤔4

Signed Kseniya R.

2 Mar 2026, 16:51 UTC608 views11 reactionsread 8 August 2026
Photo

Тренды ИИ в 7 карточках: где мы окажемся через год? 👉🏻 Подготовила для вас, хоть и с явным запазданием, карточки с прогнозом на 2026 год. В них краткие тезисы того, что нас с вами ожидает. #тренды #прогнозы

❤9🤔2

Signed Kseniya R.

13 Jan 2026, 15:59 UTC781 views9 reactionsread 8 August 2026
Forwarded from @frontier_trendsPhoto

🟤 Полезные материалы для изучения трендов по AI, технологиям, e-commerce, ритейлу, медиа, финтеху и маркетингу и др.: 📝Папка с тренд-отчетами 2026 от команды ACIG (180+ документов) 📝 Папка с тренд-отчетами 2026, собранная командой Spektr Intelligence (70 документов) @frontier_trends #тренды #отчеты #прогнозы

❤8🤔1

Signed Kseniya R.

16 Dec 2025, 17:11 UTC822 views19 reactionsread 8 August 2026
Photo

🤖 Всё, что нужно знать об эффективности ИИ-агентов и моей работе последних 4х месяцев На прошлой неделе Питер Гирнус (Piter Girnus) рассказал всю правду о внедрении ИИ в корпоративной среде. Наслаждаемся моим вольным переводом и не забываем, что в каждой шутке - лишь доля шутки: В прошлом квартале я раскатил Microsoft Copilot на 4000 сотрудников. Стоимостью по 30 баксов на человека в месяц. 1.4 млн в год. Я назвал…

❤10🤣9

Signed Kseniya R.

Showing the 9 most recent of 9 posts we hold for @nokiddingpartners. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Forward network

Republished by

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

Republishes

Channels on the register whose posts this channel has forwarded.

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

Names

Channels on the register whose handles appear in this channel's posts.

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.

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 11 September 2026 — this entry's latest reading, not the date you are reading this.

“Без шуток” (@nokiddingpartners), 217 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/nokiddingpartners.

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.