29 measurements spanning 34 days, net +692. 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 16,075–16,975 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
9 Sept 2026, 01:35
16,871
+45
5 Sept 2026, 19:18
16,826
+20
3 Sept 2026, 18:40
16,806
+34
2 Sept 2026, 07:54
16,772
+21
1 Sept 2026, 04:48
16,751
+21
31 Aug 2026, 07:35
16,730
+28
30 Aug 2026, 04:14
16,702
+20
29 Aug 2026, 03:06
16,682
+13
28 Aug 2026, 04:12
16,669
+31
27 Aug 2026, 04:35
16,638
+43
26 Aug 2026, 05:24
16,595
+70
25 Aug 2026, 08:42
16,525
+39
24 Aug 2026, 11:14
16,486
+82
22 Aug 2026, 15:37
16,404
+41
21 Aug 2026, 08:16
16,363
+6
20 Aug 2026, 11:08
16,357
+12
19 Aug 2026, 11:34
16,345
+15
18 Aug 2026, 09:03
16,330
+10
17 Aug 2026, 11:46
16,320
+30
16 Aug 2026, 03:23
16,290
first reading
Engagement
51 posts held, back to 24 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
21.9%
avg views ÷ 16,871 subscribers
Avg views / post
3,700
33 posts measured
Reaction rate
1.37%
reactions ÷ views · ER floor
Posts in window
33
of 51 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 2 September 2026
Posts held
51 (24 July 2026 – 2 September 2026)
Views total
122,030
Reactions total
1,666
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 09:37 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
25m 29s
Average length
2m 33s
Measured directly from 10 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
2,397 reactions across 49 posts, in 35 distinct kinds. The most used accounts for 28.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
679
28.3%
❤
580
24.2%
🔥
483
20.2%
😁
158
6.59%
✍
105
4.38%
👏
75
3.13%
👎
73
3.05%
😱
40
1.67%
⚡
30
1.25%
🤯
21
0.876%
💯
20
0.834%
👀
11
0.459%
🏆
10
0.417%
👾
10
0.417%
🕊
9
0.375%
🤣
9
0.375%
🦄
9
0.375%
🤝
8
0.334%
🤩
8
0.334%
🙈
6
0.25%
15 further kinds
53
2.21%
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 51 of the 51 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 2,464 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 51 most recent posts we hold, published 24 July 2026 to 2 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.
Telegram Stars
Stars received
50
across the posts below
Posts paid on
17
of 51 we hold a reading for · 33%
Most on one post
10
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @TochkiNadAI. 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 51 most recent posts we hold for this entry, published 24 July 2026 to 2 September 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.
Advertising
Ad load
1.96%
1 of 51 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
3,360
over 1 measured post
Median views · rest
3,880
over 50 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
2SDnjbut4hR
1
17 August 2026
17 August 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 51 most recent posts we hold, published 24 July 2026 to 2 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.
Что такое коммерс-агенты и зачем они нужны
Сегодня Антропик выложили большой гайд про то, как устроены агенты для торговли. Год они собирали таких агентов вместе с ритейлом, маркетплейсами, туризмом, телекомом и билетными платформами, и сложили выводы в один текст.
Мой агентик перевел его на русский целиком и сверстал в PDF. Сорок страниц, сохраняйте, если тема актуальна.
Кому будет полезно
- тем, кто проектирует…
У меня есть друг – Валя Лапчевский.
Мы дружим уже 12 лет, и все эти годы от него идет нескончаемый поток идей, проектов и экспериментов. Он криэйтив-кодер с гиганстким бэкграундом + AI адепт. Такое вот сочетание, благодаря которому появлялись многочисленные сайд-проекты (знаю, что некоторые из вас даже пользовались его AI-микро-сервисами, например ReTranslator для тг или Nocturnal Oracle и др.)
И вот, кроме небольш…
Поучительная история.
Парень в твиттере поделился, как попросил Клода посоветовать приложение для расшифровки аудио. Получил ссылку и команду установки, вставил в терминал. Через минуту с машины уехали пароли, куки и ключи от крипто-кошельков.
Сайт оказался клоном настоящей платформы. Само по себе это древняя история, фишинг и трояны не новость, конечно.
Автор снес систему, поставил заново, накатил бэкап рабочих ф…
Самая назойливая часть в работе c AI для многих в последние пару лет - это не промпты и не выбор модели. Это оплата подписок.
VPN, который отваливается на середине генерации. Карта друга в другой стране. Отдельная подписка на ChatGPT, отдельная на Claude, отдельная на Gemini и далее по списку.
Мне тут показали RouterAI. Платформа, где ChatGPT, Claude, Gemini, Grok и еще сотни моделей лежат в одном веб-чате. Без VPN…
Ну что, теперь уходим от Hermes?
OpenClaw выкатили вторую версию.
Главное изменение – установка теперь цепляется к тому, что уже стоит на компьютере, к подписке ChatGPT или Claude, к ключам, к локальным моделям. Дальше агент дособирает себя прямо в разговоре с тобой, без часа в конфигах. Плюс появились общие облачные сессии, когда к задаче подключается второй человек и заходит в тот же живой контекст со всей истори…
Какой красивый персональный сайт сделал Kevin Ngo
Он много экспериментирует с AI, артом и играми.
Этот сайт он делал целиком с Фэйблом без сторонних библиотек.
Тут можно посетить.
Собрал каталог готовых скиллов для агентов, которые использую или использовал сам
Короткая справка:
Скилл это папка с файлом SKILL. md, где текстом и иногда скриптами расписана процедура, а агент сам подхватывает нужный под задачу. Тут подробнее про скиллы.
Сохраняйте подборку:
Порядок работы
Skill Creator - создает новые скиллы и проверяет существующие.
Superpowers - фреймворк рабочих привычек агента, от брейншт…
Все вокруг пользуются AI, экономику ждет коллапс, агенты повсюду, мы отстаем! (или нет)
Альтман на днях в подкасте упомянул, что промахнулся со скоростью. Говорит, у экономики огромная инерция. Люди как делали свое, так и делают, покупают у тех же и жмут те же кнопки.
Накопал тут немного цифр по штатам и РФ.
Сначала про экономику. Совокупная производительность в США за прошлый год замедлилась вдвое, в год, когда в…
Пятый поток Кэмпа позади!
После каждого финала потока мой Second Brain запускает протокол дебрифа. Обожаю его за это. Читает чат, разбирает отзывы, вытаскивает работы участников, потом задает мне неудобные вопросы. Внутреннюю кухню оставлю за кадром, а вам по традиции несу некоторые проекты, которые сделали участники.
🧡 Дима держит сеть скалодромов в Испании. Пересобрал сайт всей сети на четыре адреса. Загрузка зал…
Исходя из запросов в чате канала – понял что иногда классно рассказывать про отдельные базовые инструменты и понятия.
Так вот, сегодня про MCP.
MCP это мост.
Формально протокол, конечно, но так это никто не запомнит. Мост между вашим агентом и сервисом, где лежит нужное.
Агент по умолчанию видит одну папку, ту, в которой вы его запустили. Заметки, облачный диск, календарь, база, аналитика для него закрыты. Мост о…
👍30❤13⚡4🔥4👀2
Showing the 12 most recent of 51 posts we hold for @TochkiNadAI. 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.
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 17 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.
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.
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.
Павел Недостоев / дилер впечатлений @pavelnedostoev · 30,354 Telegram ranks this channel #27 of 96 here — alongside 95 others — read 7 September 2026
Метаверсище и ИИще @cgevent · 51,912 Telegram ranks this channel #34 of 92 here — alongside 91 others — read 25 August 2026
Ai molodca @strangedalle · 46,923 Telegram ranks this channel #44 of 94 here — alongside 93 others — read 27 August 2026
Силиконовый Мешок @prompt_design · 85,163 Telegram ranks this channel #54 of 96 here — alongside 95 others — read 18 August 2026
This channel appears in 4 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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“Точки над ИИ” (@TochkiNadAI), 16,871 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/TochkiNadAI.
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.