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Channel

AI Тележка

@ai_telezhka

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

88subscribers

-1 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001839731758
TypeChannel
Username@ai_telezhka
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/ai_telezhka

Growth

888988.57 August 2026 — 89 subscribers9 August 2026 — 89 subscribers15 August 2026 — 88 subscribers7 August 202615 August 2026
3 measurements spanning 8 days, net -1. 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 88–89 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 16:2388-1
9 Aug 2026, 14:4789no change
7 Aug 2026, 11:0889first reading

Engagement

14 posts held, back to 22 February 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
23.9%
avg views ÷ 88 subscribers
Avg views / post
21.0
2 posts measured
Reaction rate
5.56%
reactions ÷ views · ER floor
Posts in window
2
of 14 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. It is computed over the 1 of 2 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 9 August 2026
Posts held14 (22 February 20269 August 2026)
Views total42
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 14:47 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 03s
Average length
21s

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

8 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 62.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 5212920133504212456562.5%
custom 5201781226016350115337.5%

Custom emoji. Every 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 counts beside them areTelegram’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 5 of the 14 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 8reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 22 February 2026 to 9 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 14 we hold a reading for · 7%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ai_telezhka. 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 14 most recent posts we hold for this entry, published 22 February 2026 to 9 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

9 Aug 2026, 13:15 UTC6 viewsread 9 August 2026
Video

Тестирую seedance 2.5 (топовую видео модель) Один из видосов это 2.5, другой seedance 2.0 Угадай где seedance 2.5 🔥 - 1 видео 😀 - 2 видео Первое

29 Jul 2026, 19:58 UTC36 views2 reactionsread 9 August 2026
Photo

70ые, кукольное дарк фэнтези

custom 52129201335042124562

14 Jul 2026, 12:32 UTC65 viewsread 9 August 2026
Forwarded from @BotNewsVideo

Bot API 10.1 📝 Markup Revolution This update introduces native text styling tools to enable richly formatted messages in any chat. Bots can now deliver highly structured content like business reports or media slideshows, while AI agents can seamlessly stream complex replies in real time. Supported formats include: • Multi-level headings, paragraphs and dividers. • Lists and task lists – with support for custom nu

29 Jun 2026, 06:09 UTC284 views1 reactions1 Starread 9 August 2026
Video

Заглянул в тему дизайна интерфейсов и 3д визуализации кодом Если тебе нужны живые визуалы/фоны/частицы/анимации/3д/интерактивные интерфейсы и их автоматизация через агентов: 1) p5.js - графику кодом рисовать 2) three.js - 3д сцены строить и в целом более мощная библа Пара моих тестов three.js во вложении Можно встроить, например, в пайплайн по производству визуального контента: креативы, видосы, 3д графика с инт

custom 52017812260163501151

28 May 2026, 17:38 UTC89 viewsread 9 August 2026
Photo

По мотивам бумаги от Сбера "AI-Disrupt PDLC" Тезисно и с картинками

26 May 2026, 09:37 UTC81 viewsread 9 August 2026
Photo

К слову про скиллы, seo эксперту выдал апи вордстата и апи валидатора seo текстов, в качестве инструментов А продакту - блокнотик (стратегическая память по проекту), он туда записывает цели/задачи и читает их перед ответом

26 May 2026, 09:05 UTC63 viewsread 9 August 2026
Photo

Когда вода течёт по трубам Проект разрастается и уже не хватает базовых тестов, которые пишут агенты-кодеры по tdd -- приходиться писать: кастомные линтеры, юнит/интеграционные/e2e тесты и собирать их в регресс прогон, чёто придумывать с воротами качества и прочие приколы А если и этого недостаточно, можно допросить каждого своего агента на предмет того, как бы нам улучшить/дополнить проверки в его доменной области

29 Mar 2026, 06:34 UTC102 viewsread 9 August 2026
Photo

Nextgen нейронки от Anthropic Из Anthropic утекла инфа про новые модели, значительно превосходящие Opus Если это правда, то очень скоро мы увидим ллмки нового уровня 🪑

17 Mar 2026, 14:56 UTC92 views2 reactionsread 9 August 2026
Photo

Сделал себе студию симуляции аудитории Чтобы попытаться лучше понять как та или иная ЦА может реагировать на мой продукт, собрал себе такое Создаю новый сегмент аудитории (возраст, гео, доход, пол, интересы, ценности, боли) На этот сегмент генерю психологический портрет, чтобы потом "респондент" учитывал свои психо-физические приколы Дальше ввожу контекст продукта, скрины и задаю вопрос Обычно запускаю 10 "респо

custom 52017812260163501152

8 Mar 2026, 06:49 UTC85 viewsread 9 August 2026
Photo

Только сейчас увидел сколько у меня ide В ходу остались Antigravity и Trae

24 Feb 2026, 14:15 UTC100 views2 reactionsread 9 August 2026

Деконструкция конкурентов Попробовал тут закинуть логи моих действий (вкладки консоли и нетворка) из интересных сервисов Агент в роли техписа почистил мусор, порезал на чанки и вытащил из моих сырых .log и .har интересные архитектурные признаки, ещё и спеку написал по итогу анализа 😋

custom 52129201335042124562

Showing the 12 most recent of 14 posts we hold for @ai_telezhka. 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

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

“AI Тележка” (@ai_telezhka), 88 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/ai_telezhka.

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.