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Channel

AI Mindset

@ai_mind_set

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

8,369subscribers

+28 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
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 live10 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 10 September 2026
On Telegramt.me/ai_mind_set

Growth

8,3328,3698,350.55 August 2026 — 8,341 subscribers6 August 2026 — 8,341 subscribers6 August 2026 — 8,342 subscribers9 August 2026 — 8,336 subscribers12 August 2026 — 8,345 subscribers15 August 2026 — 8,338 subscribers18 August 2026 — 8,332 subscribers24 August 2026 — 8,336 subscribers27 August 2026 — 8,343 subscribers30 August 2026 — 8,342 subscribers2 September 2026 — 8,350 subscribers5 September 2026 — 8,355 subscribers10 September 2026 — 8,369 subscribers5 August 202610 September 2026
13 measurements spanning 36 days, net +28. 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 8,326–8,375 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Sept 2026, 19:178,369+14
5 Sept 2026, 23:218,355+5
2 Sept 2026, 05:348,350+8
30 Aug 2026, 03:448,342-1
27 Aug 2026, 06:448,343+7
24 Aug 2026, 09:528,336+4
18 Aug 2026, 10:288,332-6
15 Aug 2026, 09:538,338-7
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

27 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 22 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
23.2%
avg views ÷ 8,369 subscribers
Avg views / post
1,940
5 posts measured
Reaction rate
1.62%
reactions ÷ views · ER floor
Posts in window
5
of 27 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 26 August 2026
Posts held27 (24 April 202626 August 2026)
Views total9,724
Reactions total158
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 17:50 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
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

1,180 reactions across 26 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
58649.7%
custom 530116657597227491123920.3%
🔥21117.9%
🦄958.05%
👾494.15%

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 is Telegram’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 27 of the 27 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 1,244 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 27 most recent posts we hold, published 24 April 2026 to 26 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
88
across the posts below
Posts paid on
11
of 27 we hold a reading for · 41%
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 27 most recent posts we hold for this entry, published 24 April 2026 to 26 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

26 Aug 2026, 23:21 UTC974 views18 reactionsread 28 August 2026
Video

intentions & distractions гостевая лекция CEO ManyChat Майка Яна это 3й четверг подряд где гостевую S26 снова открываем для {space} и всех, кому нужен этот разговор. почти девять месяцев назад я позвал Майка Яна, основателя и CEO ManyChat, поговорить про Intention OS (их этого кстати вырос интерактивный артефакт: intention.aimindset.org). голосовые заметки попадали в Obsidian, пять агентов читали их вместе с двадца

14🦄4

19 Aug 2026, 14:47 UTC≈1,910 views28 reactions1 Starread 28 August 2026
Video

инь и ян фаундера ещё один открытый эфир в рамках {space} и лаборатории s26. гостевые лекции мы выносим наружу. про продуктивность обычно говорят так, будто у всех один режим: стол, тишина, распорядок, ретро в пятницу. а потом смотришь, как люди на самом деле работают с агентами, и видишь двух совершенно разных людей. у одного поставлен контур. вечером в телеграм падает сводка по каждому клиенту – кто что сказал,

15custom 53011665759722749119👾4

15 Aug 2026, 17:27 UTC≈2,140 views48 reactions1 Starread 28 August 2026
Video

удачные слова итоги 1го хакатона AIM в пятницу вечером я думал, что будет нелепо: придут гики, разойдутся по комнатам, я по выебываюсь вначале, саша покажет свои сервера… 4 часа тишины, потом посмотрят на табличку с баллами и разойдутся. начали в 9. к 13 дня из зума никто не уходил. 71 записался, 41 дошёл, 37 сдали работу, 31 добрался до третьего круга вопросов. ломалось при этом почти все: голосованиея, потеряли

29custom 530116657597227491111🦄6🔥2

13 Aug 2026, 20:03 UTC≈2,190 views35 reactions10 Starsread 28 August 2026
Video

чистая папка открытые хакатоны AI Mindset – 15 и 29 августа да мы начинаем делать хакатоны. захотелось собрать день, в котором видно, как человек работает с контекстом. 4 часа, 1 задача на всех, стартовая точка у каждого одна и та же – пустая папка на своей машине. 15 августа задача называется «разбросанная жизнь». вы получаете архив одного вымышленного человека: заметки, переписки, календарь, задачи, документы, ра

🔥22custom 53011665759722749117🦄42

12 Aug 2026, 19:41 UTC≈2,510 views29 reactions1 Starread 28 August 2026
Video

хак продуктивности в летней лаборатории AI Mindset s26 про продуктивный поток идёт гостевая сессия, которую мы открываем для всех: Сергей Булаев – основатель Publora, создатель Lifehacker.ru – в диалоге с Александром Поваляевым. двадцать лет практики личной продуктивности: от Getting Things Done и первых таск-менеджеров через хаос к системе, где агенты сами обнаруживают работу в личном контексте. поговорим про публ

16custom 53011665759722749116👾5🔥2

7 Aug 2026, 19:41 UTC≈2,900 views33 reactionsread 28 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

22🦄6custom 53011665759722749115

6 Aug 2026, 19:31 UTC≈15,400 views50 reactionsread 28 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.

🔥2716custom 53011665759722749117

3 Aug 2026, 14:12 UTC≈3,000 views37 reactionsread 28 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👾81

22 Jul 2026, 19:20 UTC≈3,820 views49 reactions1 Starread 28 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≈4,010 views42 reactions5 Starsread 28 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≈3,580 views40 reactionsread 28 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≈3,410 views38 reactionsread 28 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

Showing the 12 most recent of 27 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.

Posts edited after publishing

@ai_mind_set 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
22 August 2026
Most recent edit
22 August 2026

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 20 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 10 September 2026 — this entry's latest reading, not the date you are reading this.

“AI Mindset” (@ai_mind_set), 8,369 subscribers as measured 10 September 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.