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Channel

Промты — и точка

@promty_tochka

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

14,353subscribers

-225 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001996232928
TypeChannel
Username@promty_tochka
CreatedBetween 1 November 2023 and 30 April 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held32
Confirmed unchanged2 times, most recently 18 September 2026
On Telegramt.me/promty_tochka

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 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

14,35314,57814,465.56 August 2026 — 14,578 subscribers7 August 2026 — 14,571 subscribers8 August 2026 — 14,559 subscribers9 August 2026 — 14,549 subscribers10 August 2026 — 14,543 subscribers11 August 2026 — 14,534 subscribers12 August 2026 — 14,529 subscribers13 August 2026 — 14,523 subscribers15 August 2026 — 14,510 subscribers16 August 2026 — 14,511 subscribers17 August 2026 — 14,502 subscribers18 August 2026 — 14,493 subscribers19 August 2026 — 14,484 subscribers20 August 2026 — 14,478 subscribers22 August 2026 — 14,476 subscribers23 August 2026 — 14,472 subscribers25 August 2026 — 14,460 subscribers25 August 2026 — 14,453 subscribers27 August 2026 — 14,442 subscribers27 August 2026 — 14,437 subscribers28 August 2026 — 14,435 subscribers29 August 2026 — 14,432 subscribers30 August 2026 — 14,425 subscribers31 August 2026 — 14,415 subscribers1 September 2026 — 14,416 subscribers2 September 2026 — 14,407 subscribers4 September 2026 — 14,399 subscribers7 September 2026 — 14,390 subscribers10 September 2026 — 14,374 subscribers12 September 2026 — 14,364 subscribers14 September 2026 — 14,360 subscribers15 September 2026 — 14,353 subscribers6 August 202615 September 2026
32 measurements spanning 40 days, net -225. 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 14,319–14,612 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
15 Sept 2026, 20:5514,353-7
14 Sept 2026, 01:2114,360-4
12 Sept 2026, 08:5914,364-10
10 Sept 2026, 06:2014,374-16
7 Sept 2026, 01:2214,390-9
4 Sept 2026, 07:2014,399-8
2 Sept 2026, 21:4514,407-9
1 Sept 2026, 17:1314,416+1
31 Aug 2026, 19:5714,415-10
30 Aug 2026, 17:1414,425-7
29 Aug 2026, 20:4514,432-3
28 Aug 2026, 22:2814,435-2
27 Aug 2026, 22:4514,437-5
27 Aug 2026, 00:2214,442-11
25 Aug 2026, 22:1914,453-7
25 Aug 2026, 01:0714,460-12
23 Aug 2026, 10:3714,472-4
22 Aug 2026, 00:1514,476-2
20 Aug 2026, 15:1514,478-6
19 Aug 2026, 17:4414,484first reading

Engagement

51 posts held, back to 22 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 51 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.31%
avg views ÷ 14,353 subscribers
Avg views / post
1,190
12 posts measured
Reaction rate
0.86%
reactions ÷ views · ER floor
Posts in window
12
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
WindowRolling 30 days · latest post in window 2 September 2026
Posts held51 (22 July 20262 September 2026)
Views total14,307
Reactions total123
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 18:38 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
1m 24s
Average length
28s

Measured directly from 3 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

691 reactions across 50 posts, in 8 distinct kinds. The most used accounts for 63.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 523562676230976032443863.4%
🥰8111.7%
👾7110.3%
🤷‍♂375.35%
🫡355.07%
👨‍💻172.46%
🗿111.59%
👎10.145%

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 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 691 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 22 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
2
across the posts below
Posts paid on
2
of 51 we hold a reading for · 4%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @promty_tochka. 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 22 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.

Recent posts

2 Sept 2026, 14:12 UTC452 views8 reactionsread 2 September 2026
Photo

⚔️ ChatGPT vs DeepSeek — кто лучше? Провёл максимально насыщенное тестирование. Взял GPT-5.6 Sol и DeepSeek V4 и прогнал их через пять реальных задач, с которыми сам работаю: — вычитка и редактура машинного текста; — написание постов; — объяснение сложных вещей простым языком; — переработка пресс-релиза в нормальную новость; — работа с фактами и тесты на галлюцинации. Причём каждое задание запускал несколько раз и

🥰4👾2custom 52356267623097603242

2 Sept 2026, 10:35 UTC640 views4 reactions1 Starread 2 September 2026
Photo

💥 Anthropic выпустила Claude Fable 5.1 и Claude Mythos 5.1. Чтобы вы не путались: по сути, это одна и та же модель. Fable — версия для всех, а Mythos — для спец организаций с минимальными ограничениями. Что там интересного? Если честно, не так уж много. В телеграм-каналах уже пишут, что Claude стал чуть ли не в два раза лучше. Формально такая цифра действительно есть: в Terminal-Bench-Science Fable 5.1 набрала 52,

custom 52356267623097603244

31 Aug 2026, 08:41 UTC965 views5 reactionsread 2 September 2026
Photo

📊 Продолжаю прокачивать ИИ-редакцию новостей и делюсь результатами. На прошлой неделе по новостям был самый большой буст, сработали как сами инфоповоды, так и накопительный эффект. За четыре недели общий отслеживаемый трафик вырос с 314 до 517 просмотров в день — +64,6%.

👨‍💻3custom 52356267623097603242

27 Aug 2026, 10:55 UTC≈1,620 views14 reactionsread 2 September 2026
Photo

🤖 Как ИИ помогает мне приводить больше трафика на сайт? Недавно я уже рассказывал про свой эксперимент с ИИ-редакцией: выпускаю больше новостей, и они, как снежный ком, дают накопительный эффект в плане трафика на сайт. Но у этой истории есть ещё один плюс. 🧑‍💻 ИИ забирает на себя часть работы, которой раньше занимался я. А освободившееся время можно тратить на эксперименты, до которых раньше просто не доходили ру

custom 52356267623097603249🥰5

27 Aug 2026, 08:09 UTC≈1,370 views19 reactionsread 2 September 2026
Photo

👀 ChatGPT добавил в редактор изображений кнопку «Удалить фон». Теперь не нужно писать отдельный запрос: достаточно загрузить изображение и нажать кнопку — фон удалится автоматически.

🥰11custom 52356267623097603248

26 Aug 2026, 15:41 UTC≈1,500 views6 reactionsread 2 September 2026
Photo

🤣 Ахаха, теперь в ChatGPT можно дарить кредиты. Подарок можно активировать на аккаунтах Free, Go, Plus и Pro. Кредиты добавляются на баланс и начинают расходоваться после того, как закончится лимит по подписке. Работают они в том числе с Codex. Например, можно сделать подарочную карту на 500 кредитов за 20 баксов плюс комиссия и отправить её другу или знакомому, который любит ночами повайбкодить и к утру высадить в

🗿4👾2

26 Aug 2026, 13:51 UTC≈1,270 views10 reactionsread 2 September 2026
Photo

👨‍💻 А знаете, что самое непривычное в Qwen Work? Там можно посмотреть, куда расходуются лимиты. Не просто полоска или проценты в духе «осталось 37%», а конкретно: какая задача сколько кредитов съела. Вот, например, я для теста кинул ему довольно сложное ТЗ. Qwen Work почти целиком сожрал на нём бесплатный дневной лимит. Для сравнения: Claude на примерно такой же задаче у меня расходует где-то половину дневного лим

custom 52356267623097603247👾3

26 Aug 2026, 11:34 UTC≈1,270 views20 reactionsread 2 September 2026
Photo

👀 Ну наконец-то мы этого дождались! Alibaba выпустила своего ИИ-агента, которым можно пользоваться в России без каких-либо ограничений. Qwen Work — это отдельный сайт и приложение для Windows/Mac. По логике примерно как ChatGPT Work, да и название, как видите, похожее. Что внутри: — скиллы — создаёте рабочие процессы и запускаете их одной командой; — можно переносить скиллы из других сервисов, того же Claude, ChatG

custom 523562676230976032417🫡2👨‍💻1

26 Aug 2026, 08:19 UTC≈1,230 views12 reactionsread 2 September 2026
Photo

🤖 5-часовые лимиты в ChatGPT/Codex вернулись — айлбибэк в действии. OpenAI вернула пятичасовые лимиты для пользователей с подпиской Plus. С одной стороны, это даже удобно: теперь не просадишь недельный лимит за пару часов. С другой — это всё равно ограничение. И дальше два варианта. Первый — платить больше: брать более дорогую подписку, второй аккаунт с подпиской или ещё одну подписку на какого-нибудь агента. Вто

custom 52356267623097603248👾4

25 Aug 2026, 16:16 UTC≈1,280 views11 reactionsread 2 September 2026
Photo

⚡ Бесплатный ИИ-агент от Perplexity — поисковик начал открывать пользователям доступ к агенту Computer. Computer не надо скачивать: он работает в облаке и умеет выполнять многошаговые задачи, работать с сервисами и запускать процессы по расписанию. То есть бесплатно познакомиться с ИИ-агентами теперь можно как минимум в трёх местах: Grok, Claude и Perplexity. Пользуйтесь, создавайте агентов — и будет вам хорошо, и

🥰8🫡2custom 52356267623097603241

25 Aug 2026, 14:18 UTC≈1,260 views7 reactionsread 2 September 2026

💡Пара личных инсайтов из работы с ИИ-агентами. 1. Мало просто создать агента, важнее его грамотно докрутить. Ты запускаешь его, смотришь результат, находишь косяки, правишь инструкции, снова запускаешь. И так по кругу. Причём чаще всего это вообще перманентный процесс. Чем сложнее задача, тем больше времени уходит на отладку. Плюс совершенству нет предела — поэтому потом постоянно накатываешь какие-то улучшения.

custom 52356267623097603245👾2

25 Aug 2026, 09:51 UTC≈1,450 views7 reactionsread 2 September 2026
Photo

🧑‍💻 Делаю новостной Скайнет — делюсь результатами своего эксперимента с ИИ-редакцией за первые три недели. Что есть сейчас: — ИИ-агент мониторит до 1000 инфоповодов в день; — на сайт выходит примерно 50–60 новостей в неделю; — финальный проход и публикацию делает контент-менеджер; — новости сейчас дают в среднем около 400 посещений в день. Пока это немного. Но здесь интереснее динамика. В первую неделю, помните, я

custom 52356267623097603245🥰2

Showing the 12 most recent of 51 posts we hold for @promty_tochka. 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 1 registered channel — 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.

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

“Промты — и точка” (@promty_tochka), 14,353 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/promty_tochka.

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.