Channel
@flexarai
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
43subscribers
-1 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003074449206 |
|---|---|
| Type | Channel |
| Username | @flexarai |
| Created | Between 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 25 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 25 August 2026 |
| On Telegram | t.me/flexarai |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 18:26 | 43 | -1 |
| 10 Aug 2026, 16:01 | 44 | no change |
| 8 Aug 2026, 00:05 | 44 | first reading |
6 posts held, back to 20 November 2025 — the 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 6 posts for this entry, the most recent from 15 July 2026. An engagement rate over an empty window would be a number about nothing.
50 reactions across 6 posts, in 9 distinct kinds. The most used accounts for 26.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 13 | 26.0% | |
| 👍 | 12 | 24.0% | |
| ❤ | 10 | 20.0% | |
| 🏆 | 4 | 8.00% | |
| ⚡ | 3 | 6.00% | |
| ❤🔥 | 3 | 6.00% | |
| 👏 | 3 | 6.00% | |
| 💩 | 1 | 2.00% | |
| 💯 | 1 | 2.00% |
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 6 of the 6 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 50reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 20 November 2025 to 15 July 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.
✔️Помогли страховой компании ускорить поддержку по ДМС на 80% Делимся кейсом ИИ-помощника, который подсказывает кураторам ДМС ответы в чате на основе базы знаний и контекста диалога. В качестве технологической основы решения — платформа Flexar. Подробнее — на карточках и здесь Flexar.ai
❤1👍1🔥1
18 июня в Москве пройдет @finchess — шахматный турнир для представителей технологических, финансовых и других компаний. Для нас это повод вспомнить, как тесно история ИИ связана с шахматами. Уже в середине XX века исследователи использовали игру как модель сложной системы: компьютер должен был оценивать позицию, просчитывать варианты и выбирать ход в условиях множества ограничений. Один из известных эпизодов — матч…
👏3🔥3👍2
ИИ превращает отзывы в описания и теги для карточек товара: кейс федерального ритейлера Отзывы покупателей — ключевой фактор выбора. Но как работать с тысячами откликов по десяткам тысяч товаров? Часто поток обратной связи растет быстрее, чем команда успевает его обрабатывать. Разбираем на примере крупного федерального ритейлера, как ИИ-платформа Flexar от Friflex помогает автоматизировать этот процесс: структуриро…
❤3🔥3👍2
Как безопасно передавать ИИ внутренние данные компании? Есть класс задач, где ИИ справляется без внутренних данных компании. Например, поправить орфографию, сгенерировать идею или шаблонный ответ по общим правилам, автоматизировать реакцию на смену статуса в BPM или RPA. Здесь не нужны факты о компании: моделям хватает публичных знаний и контекста из самого запроса. Как только процесс упирается в корпоративные норм…
❤6🔥6👍3
1️⃣ Когда процесс уже прост, стабилен и хорошо описывается правилами. Например, если задача сводится к «если А, делаем Б», правила почти не меняются, а входные данные структурированы. В таких кейсах достаточно классической автоматизации или простых модели на CPU, генеративный ИИ и агенты лишь добавят сложности, почти не увеличивая ценность. 2️⃣ Если обращений мало, процесс редкий или нерегулярный. На маленьких объем…
⚡3❤🔥3🏆3💩1
ИИ встраивается в процессы, где раньше требовалось участие человека. Например, когда важно понять, о чем письмо или договор, придумать ответ, принять не совсем бинарное решение. Какие шаги автоматизировать с ИИ в бизнес-процессах — на карточках ⬆️ А в следующем посте разберем, когда ИИ-автоматизация не нужна. Flexar.ai
👍4🏆1💯1
Showing the 6 most recent of 6 posts we hold for @flexarai. 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 — 359,566 of 1,624,904entries 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.
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.
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.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“Flexar.ai” (@flexarai), 43 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/flexarai.
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.