Telegram RegisterThe public register of Telegram

Channel

AI Mindset

@ai_mind_set

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry

8,345subscribers

+4 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001877517944
TypeChannel
Username@ai_mind_set
Description/лаборатория трансформации мышления через AI лаборатория «продуктивность в эпоху агентов» | https://s26.aimindset.org | старт 10 августа aimindset.org | @ai_mind_set_team
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/ai_mind_set

Growth

8,3368,3458,340.55 August 2026 — 8,341 subscribers6 August 2026 — 8,341 subscribers6 August 2026 — 8,342 subscribers9 August 2026 — 8,336 subscribers12 August 2026 — 8,345 subscribers5 August 202612 August 2026
5 measurements spanning 6 days, net +4. 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 8,335–8,346 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 03:058,345+9
9 Aug 2026, 11:328,336-6
6 Aug 2026, 10:508,342+1
6 Aug 2026, 03:028,341no change
5 Aug 2026, 22:068,341first reading

Engagement

22 posts held, back to 24 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
54.7%
avg views ÷ 8,345 subscribers
Avg views / post
4,570
5 posts measured
Reaction rate
0.893%
reactions ÷ views · ER floor
Posts in window
5
of 22 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 7 August 2026
Posts held22 (24 April 20267 August 2026)
Views total22,840
Reactions total204
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 16:31 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
82
Videos
47
Links
140

Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
16s
Average length
8s

Measured directly from 2 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

1,012 reactions across 21 posts, in 5 distinct kinds. The most used accounts for 49.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
50349.7%
custom 530116657597227491120620.4%
🔥18218.0%
🦄818.00%
👾403.95%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.

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 22 of the 22 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 1,076reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 24 April 2026 to 7 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
75
across the posts below
Posts paid on
7
of 22 we hold a reading for · 32%
Most on one post
52
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ai_mind_set. 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 22 most recent posts we hold for this entry, published 24 April 2026 to 7 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

7 Aug 2026, 19:41 UTC≈1,420 views30 reactionsread 12 August 2026
Video

доверие работает продуктивным обычно считают некий объем… задачи, коммиты, артефакты... в группе есть ещё одна переменная: как быстро человек решается принести настоящий вопрос. сегодня перед стартом S26 говорил с Лёшей Мельничком @kontaktkanal. для трансформации ему важно количество социального тепла. когда его хватает, люди раньше показывают сырые кейсы, просят о помощи и начинают отвечать друг другу. с лешей мы

19🦄6custom 53011665759722749115

6 Aug 2026, 19:31 UTC≈12,000 views47 reactionsread 12 August 2026
Video

〰️ поток агента или отказ от идеи продуктивности мы собрали летнюю лабу по-другому. s26 summer flow стартует в ПН. до старта мы сделали то, чего не делали ни в одной лабе раньше. открыли публичный репозиторий лабы → github.com/ai-mindset-org/s26-lab внутри программа (уже или будет пополняться каждым спикером), принципы работы и отдыха, гайд по сборке личного контекста, глоссарий, скиллы и схемы с html-исходниками.

🔥2515custom 53011665759722749117

3 Aug 2026, 14:12 UTC≈2,380 views36 reactionsread 12 August 2026
Video

каково быть агентом? в 1974 году Томас Нагель спросил, каково быть летучей мышью. Можно до деталей описать её сонар, крылья и поведение. Доступа к тому, каково это для неё самой, такое описание не даёт. 52 года спустя тот же вопрос упирается в агента. Что стоит у него на месте чувств? Очередь сообщений, attempts, ack, ключи, задержка, обрыв контекста. Это функциональная карта мира: по ней контур действует, различае

custom 530116657597227491119🔥9👾8

22 Jul 2026, 19:20 UTC≈3,360 views49 reactions1 Starread 12 August 2026
Video

поток в эпоху агентов. s26 {flow} этим летом мы делаем новую лабораторию — s26 summer под тегом {flow}, про поток в эпоху агентов. и решили собрать её открыто. честно как-то заебало продавать образование, хочется как-то переописать это... просто показывать, что мы делаем и делать это вместе иногда. хотелось бы поизучать продуктивность и сделать это в паре с людьми, которые много практикуют, что-то делают для этого.

🔥2711custom 53011665759722749119🦄2

17 Jul 2026, 20:29 UTC≈3,680 views42 reactions5 Starsread 12 August 2026
Video

миграция mac-ов у нас в лабах есть внутренняя шутка: метрика успешности лабы – количество обновлённых маков после спринта. человек приходит разобраться с агентами, месяц гоняет сессии и упирается в железо. в последний год метрика стала двусторонней: кто-то апгрейдится, а кто-то съезжает на машину попроще, потому что всё тяжелое уехало на сервер и ноутбуку осталась роль терминала с хорошим экраном (я еще не там). не

24custom 530116657597227491110🦄6🔥2

11 Jul 2026, 13:17 UTC≈3,350 views40 reactionsread 12 August 2026
Forwarded from @alex_named_aiVideo

одно слово сегодня прошёл intro call 3го потока ai-native. в понедельник старт, и во мне сейчас знакомое состояние – перед каждым запуском энергии во мне до хуя. хочется увлечь ею всех: команду, участников, спикеров. физическое ощущение – как перед прыжком в холодную воду, когда уже разбежался. у этой энергии есть темная сторона. я очень остро вижу, куда люди не вкладываются. где человек пришёл с горящими глазами,

24🔥8custom 53011665759722749118

10 Jul 2026, 00:18 UTC≈3,150 views38 reactionsread 12 August 2026
Video

стиль style OS lens на этой неделе я отнёс на почту пакет с вещами из заказа на 2k евро. адрес ближайшей ctt мне выдал агент, который оформлял возврат: уточнил район, предложил отделение и заодно записал мой домашний адрес себе в контекст – чтобы в следующий раз не спрашивать, где я живу. но почему, все же вещи проходили по скору 70+... стоп! что за чушь я сейчас читаю? понимаю. агенты возвращают одежду – звучит к

24custom 53011665759722749119👾5

6 Jul 2026, 09:59 UTC≈3,280 views132 reactions5 Starsread 12 August 2026
Video

бутылочное горлышко весь год я выносил наружу то, что раньше делал сам. этот канал/проект все меньше ассоциируется с AI, сколько с дневником человека, который пытается разместить себя в новую эпоху. у меня сегодня день рождения хотелось бы вспомнить что на самом деле случилось за этот год... я перестал всё тащить сам. 6 лабораторий за год принесли больше, чем я заработал в одиночку за всю жизнь до этого. и важнее с

82🔥31custom 530116657597227491119

2 Jul 2026, 15:15 UTC≈3,680 views50 reactions1 Starread 12 August 2026
Video

про нашу лабу рассказали все, кроме меня ai-native · 03 смешно вышло, про нашу лабу рассказали, кажется, все – партнёры, спикеры, выпускники, командный агент в соседнем чате. один я молчал и тихо паял ruslo (о чем расскажу позже). ладно... да, мы запускаем новый поток ai-native. в раз сразу в 3-х вариантах прохождения: enterprise, малый бизнес и solo. свою образовательную команду я давно в "шутку" называю "ейай ней

25custom 530116657597227491115🦄10

16 Jun 2026, 20:45 UTC≈4,690 views112 reactions52 Starsread 12 August 2026
Video

harness handoff или умереть пустым давно по-настоящему не выходил в открытый интернет. сижу в агентском, копаю своё. иногда выгляну – чё там? всё так же продают промты, торгуют архивами чужих скиллов, сто способов «обогнать всех с помощью ai»? честно, хер его знает, я выпал. и почти не парюсь... уж чтоно не по этому. новости вы и сами прекрасно почитаете. меня в последнее время держит другое – идея, к которой возвр

71🔥28custom 530116657597227491110🦄3

2 Jun 2026, 18:27 UTC≈5,160 views36 reactionsread 12 August 2026
Photo

самый честный AI-проект – это ты. 8–22 июня вместе с командой запускаем Health Sprint – две недели, за которые ты собираешь личную систему здоровья на своих данных: сон, энергия, фокус, нагрузка. ai разбирает то, что ты и так фиксируешь, вытаскивает паттерны и сворачивает их в протокол под тебя. остальное по-прежнему делаешь ты – но уже не вслепую. ведут люди, которые сами живут на стыке здоровья и технологий и пиш

19🔥11custom 53011665759722749116

29 May 2026, 16:46 UTC≈4,740 views39 reactionsread 12 August 2026
Photo

слои, которые работают тантра, ретриты, випассана. годы практики, чтобы научиться удерживать внимание. я через это прошёл – школа психонетики бахтиярова. концентрация, деконцентрация, переход между ними. внутренняя инженерия без религии. но тогда не было ai, и каждый pattern приходилось держать самому, в собственной нервной системе. у большинства эти практики рассыпались где-то по дороге. сейчас появился слой, кото

23custom 530116657597227491111🦄5

Showing the 12 most recent of 22 posts we hold for @ai_mind_set. 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.

Citation-graph rank

Citation-graph rank — 1,344 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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

Named by 19 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“AI Mindset” (@ai_mind_set), 8,345 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ai_mind_set.

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.