Telegram RegisterThe public register of Telegram

Channel

AI_FastTrack

@AI_FastTrack

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

872subscribers

+7 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1003294235871
TypeChannel
Username@AI_FastTrack
CreatedBetween 1 October 2025 and 28 February 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 8 August 2026
On Telegramt.me/AI_FastTrack

Growth

865872868.58 Aug 2026, 10:45 — 865 subscribers8 Aug 2026, 18:32 — 872 subscribers8 Aug 2026, 10:458 Aug 2026, 18:32
2 measurements taken within a single day, net +7. 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 864–873 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 18:32872+7
8 Aug 2026, 10:45865first reading

Engagement

10 posts held, back to 6 August 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
4.29%
avg views ÷ 872 subscribers
Avg views / post
37.4
9 posts measured
Reaction rate
3.57%
reactions ÷ views · ER floor
Posts in window
10
of 10 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 8 of 9 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 8 August 2026
Posts held10 (6 August 20268 August 2026)
Views total337
Reactions total11
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 10:45 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.

Reaction mix

11 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 81.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍981.8%
19.09%
👌19.09%

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 8 of the 10 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 11reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 6 August 2026 to 8 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.

Recent posts

8 Aug 2026, 06:41 UTC31 views1 reactionsread 8 August 2026

Привет, вы только что присоединились к каналу? Добро пожаловать! Предлагаю вам начать с закрепленных постов, а именно: Введение: зачем мы здесь? Как и о чем я буду писать в этом канале – уточнение! Также закрепляю списки постов с ссылками по месяцам, за последний месяц - понедельно. По возможности, в начале рекомендую просмотреть последовательно все посты, хотя бы бегло, особенно по теме Теория и Практика. Мое убеж

👍1

8 Aug 2026, 06:35 UTCviews —

AI_FastTrack pinned «Доброй субботы. Выкладываю и закрепляю список постов за эту неделю (неделю портретных экспериментов :): Неделя визуальных экспериментов – введение Неделя экспериментов: портрет в ИИ стиле Неделя экспериментов: портрет в ИИ стиле – промпт Неделя экспериментов:…»

8 Aug 2026, 06:34 UTC29 viewsread 8 August 2026

Доброй субботы. Выкладываю и закрепляю список постов за эту неделю (неделю портретных экспериментов :): Неделя визуальных экспериментов – введение Неделя экспериментов: портрет в ИИ стиле Неделя экспериментов: портрет в ИИ стиле – промпт Неделя экспериментов: мужская версия себя Неделя экспериментов: мужская (женская) версия себя, промпт Неделя экспериментов: старость Неделя экспериментов: детство Неделя эксперимент

7 Aug 2026, 12:54 UTC47 views3 reactionsread 8 August 2026

Неделя экспериментов с портретами: выводы Что ж, порезвились со стилизацией, состариванием-омоложением, сменой пола и примеркой причесок. Если что-то показалось любопытным, промпты есть, пользуйтесь! ✅ Но я была бы не я, если не решила б подвести некоторые итоги 😂. Итак, как работаем с портретными экспериментами (и в целом с генерацией изображений: 1⃣ Много раз уже говорила, разные нейронки по-разному отреагируют

👍21

7 Aug 2026, 12:53 UTC40 views1 reactionsread 8 August 2026

Неделя экспериментов: примерка прически, пропмт Что ж… вышла наглядная иллюстрация, насколько может отличаться результат от разных нейронок 😊. ❌ Gemini был в своем стиле, «убил» портретное сходство, развернув лицо (хотя его не просили). ❌ Perplexity был точнее всего со сходством, однако понимание цвета волос никуда не годится (именно поэтому стоит прописывать подробнее цвета, давать референсы и использовать английск

👍1

7 Aug 2026, 12:52 UTC35 views1 reactionsread 8 August 2026
Photo

Неделя экспериментов: примерка прически Так, захотелось отойти от переделки стилей, возраста и пола… давайте поэкспериментируем с прической. Вот такой результат – 9 вариантов причесок на одном фото, промпт дальше. Снова по порядку, ChatGPT, Gemini и Perplexity.

👍1

6 Aug 2026, 10:08 UTC42 views1 reactionsread 8 August 2026

Неделя экспериментов: стилизация портрета, промпты, ч.2. 6⃣ Реалистичный аниме-арт Стилизуй портрет женщины с котом с приложенного фото под реалистичный аниме-арт. Сохрани узнаваемые черты лица, форму глаз, носа и губ, а также позу, но адаптируй их к аниме-стилистике: чуть более крупные и выразительные глаза, мягкие, чистые линии лица, аккуратные световые блики. Также адаптируй под аниме стиль кота. Цветовая палитра

👍1

6 Aug 2026, 10:08 UTC39 views1 reactionsread 8 August 2026

Неделя экспериментов: стилизация портрета, промпты, ч.1. В этом эксперименте использовала только одну нейронку, Perplexity (так как тестирую именно варианты стилей, а не отличия нейронок между собой). Некоторые версии переделывала, меняла промпты, добавляла стилизации. Всегда есть компромисс между узнаваемостью лица и соответствием стилю… регулируем промптом или редактируем, пропишу подробнее в завершении недели. 1

👍1

6 Aug 2026, 10:07 UTC37 views2 reactionsread 8 August 2026
Photo

Неделя экспериментов: стилизация портрета, продолжение Следующие 5 стилизаций портрета: Реалистичный аниме-арт, В стиле Сальвадора Дали, Ретрофутуризм 80‑х, В стиле гравюр Дюрера, Пластилиновый мультфильм.

👌1👍1

6 Aug 2026, 10:05 UTC37 views1 reactionsread 8 August 2026
Photo

Неделя экспериментов: стилизация портрета Дальше брала тот же исходный портрет и применяла самые разные стили, числом 10. Первые пять: Киберпанк-постер, Акварельная иллюстрация, В стиле Ван Гога, Киношный нуар-кадр, В стиле Хокни / современный поп-арт

👍1

Showing the 10 most recent of 10 posts we hold for @AI_FastTrack. 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.

Citation-graph rank

Citation-graph rank — 1,042,385 of 1,480,688entries 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

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

“AI_FastTrack” (@AI_FastTrack), 872 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/AI_FastTrack.

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.