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 97% 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
33 measurements spanning 42 days, net +537. 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 14,171–14,870 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 13:57
14,789
+48
16 Sept 2026, 09:02
14,741
+30
14 Sept 2026, 18:20
14,711
+9
13 Sept 2026, 06:59
14,702
+20
11 Sept 2026, 09:56
14,682
+53
8 Sept 2026, 12:16
14,629
+82
5 Sept 2026, 05:19
14,547
+30
3 Sept 2026, 13:21
14,517
+11
2 Sept 2026, 09:47
14,506
+11
1 Sept 2026, 10:35
14,495
-3
31 Aug 2026, 09:37
14,498
-9
30 Aug 2026, 07:27
14,507
+5
29 Aug 2026, 06:05
14,502
+4
28 Aug 2026, 09:03
14,498
+18
27 Aug 2026, 05:54
14,480
+6
26 Aug 2026, 08:32
14,474
+14
25 Aug 2026, 05:12
14,460
+46
24 Aug 2026, 02:34
14,414
-1
22 Aug 2026, 10:08
14,415
-1
20 Aug 2026, 22:36
14,416
first reading
Engagement
53 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 50 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.13%
avg views ÷ 14,789 subscribers
Avg views / post
1,350
11 posts measured
Reaction rate
2.05%
reactions ÷ views · ER floor
Posts in window
11
of 53 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
53 (24 July 2026 – 2 September 2026)
Views total
14,851
Reactions total
304
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 18:35 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
1h 46m
Average length
4m 38s
Measured directly from 23 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
1,925 reactions across 53 posts, in 5 distinct kinds. The most used accounts for 44.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5375446892895292647
864
44.9%
custom 5375093043424675665
382
19.8%
custom 5390977696501094079
320
16.6%
custom 5391311643093259380
304
15.8%
custom 5375254993756509193
55
2.86%
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 are 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 53 of the 53 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 1,925 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 53 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
4
across the posts below
Posts paid on
4
of 53 we hold a reading for · 8%
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_finansist. 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 53 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.
📖▫️ Полезные скилы для Codex | Как научить нейросеть работать «по-вашему»
Коллеги, на связи Натали.
Наверняка у вас такое было - вы просите нейросеть сделать отчёт, презентацию или документ, а получаете совсем не то, что представляли.
Она забывает прошлые требования, меняет стиль, пропускает важные проверки. И каждый раз приходится заново объяснять, как именно должен выглядеть результат. Если было - ставьте реакци…
🆕▫️▫️ Одиннадцать команд ChatGPT для работы с картинками. Пишете команду и своё изображение, дальше нейросеть делает всё сама.
Коллеги, всем добрый праздничный день! На связи Натали. В ролике под постом показала каждую из 11 команд для картинок в формате до и после. Все четыре рекламных макета нейросеть собрала сама из одного обычного снимка флакона, который стоит на кухонном столе.
1️⃣ /restore восстанавливает пов…
🎙 От 100 миллионов до миллиарда пользователей: как ChatGPT стал главной нейросетью мира
Коллеги, всем добрый день! На связи Натали, утром выпускала опрос.
По его следам записала аудиоподкаст об истории ChatGPT 🤘 - как нейросеть развивалась, сколько людей пользуются ею сегодня и почему именно модели OpenAI стали своеобразным эталоном рынка.
В подкасте рассказываю:
✅ Как ChatGPT набрал первые 100 миллионов пользова…
📌▫️ Кейсы выпускного программы «Нейросети: профи-уровень. Вайб-кодинг»
Это была очень мощная встреча. Участницы показывали собственные сайты, финансовые сервисы, дашборды и инструменты, которые уже используют или планируют внедрить в реальную работу.
Кто-то пришёл на курс практически без знаний в разработке. Кто-то в начале боялся терминала и не понимал, как устроены сайты, серверы и интеграции.
А к концу обучения…
🎥▫️ Что нейросеть уже может забрать у финансиста и бухгалтера?
Коллеги, на связи Натали.
Курс «AI-навыки финансиста» прошли уже больше 1000 человек чуть больше чем за год.
Я проанализировала наши чаты и кейсы учеников и собрала список задач, которые финансисты, бухгалтеры и финдиры уже решают с помощью нейросетей на практике.
Получилась вот такая подборка:
🟩 собрать управленческую отчётность из нескольких таблиц…
ChatGPT + Codex: подключаем, настраиваем и сразу решаем рабочие задачи
Коллеги, на связи Натали.
Я открываю регистрации на новую живую экскурсию по ChatGPT + Codex 🚀
3 сентября в 19:00 по МСК за два часа пройдём весь путь от первого входа до готовых результатов.
Сначала вместе подключим ChatGPT 🤘 и Codex, установим официальное приложение и отключим обучение нейросети на ваших данных.
А затем сразу перейдём к п…
А что, если ChatGPT будет работать с таблицами, даже когда вы не открываете чат?
Вчера я рассказывала, на что способен ChatGPT в 2026 году. А сегодня покажу одну из возможностей, о которой многие финансисты пока даже не знают.
В официальном приложении ChatGPT появилась вкладка «Работа». Это уже не просто чат, в который нужно загрузить файл и каждый раз заново объяснять задачу.
В режиме «Работа» ChatGPT может сам:
…
Вы точно знаете, на что способен ChatGPT в 2026 году?
Большинство финансистов уже пробовали нейросети. Кто-то пишет с их помощью письма и посты, кто-то работает с таблицами, кто-то задаёт простые вопросы.
Но многие до сих пор используют лишь малую часть возможностей ChatGPT. А о Codex, который уже входит в подписку, некоторые даже не слышали ✨.
Хотя сегодня нейросеть может:
🟩разобрать банковскую выписку и собрать…
Что, если на один день оказаться среди 200 финансистов и бухгалтеров со всей России?
Коллеги, добрый день! На связи Софья Бурцева.
17 октября мы второй раз собираемся вживую в Москве. И я предлагаю вам прямо сейчас представить, как пройдёт этот день - с 09:00 и до 22:00.
Посмотрите видео под этим постом, а я немного дополню маршрут ⬇️.
1️⃣ Сначала - регистрация.
Наша команда встретит вас, выдаст бейдж, нальёт ко…
Showing the 12 most recent of 53 posts we hold for @ai_finansist. 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.
Posts edited after publishing
@ai_finansist 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
26 August 2026
Most recent edit
26 August 2026
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Показать вам как можно купить открытый API нейросети DeepSeek и подключить его к своему дашборду для анализа данных или к своему боту?
Да, еще раз да, это просто топ и то, что мне нужно!88%
Нет, ничего не надо мне1%
Что такое API?11%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 53 most recent posts we hold, published 24 July 2026 to 2 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Mentions
Named by 18 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.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“AI с Софьей и Натали” (@ai_finansist), 14,789 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ai_finansist.
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.