Telegram RegisterThe public register of Telegram

Channel

Аихаб | ИИ-аналитика и автоматизация продаж

@aihub_online

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

80subscribers

+4 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1004292158493
TypeChannel
Username@aihub_online
CreatedBetween 1 May 2026 and 22 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/aihub_online

Growth

7680786 August 2026 — 76 subscribers9 August 2026 — 76 subscribers13 August 2026 — 80 subscribers6 August 202613 August 2026
3 measurements spanning 7 days, net +4. 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 75–81 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 13:3680+4
9 Aug 2026, 20:4676no change
6 Aug 2026, 18:3476first reading

Engagement

10 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
81.0%
avg views ÷ 80 subscribers
Avg views / post
64.8
10 posts measured
Reaction rate
26.9%
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held10 (22 July 20267 August 2026)
Views total648
Reactions total174
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 20:46 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

174 reactions across 10 posts, in 8 distinct kinds. The most used accounts for 32.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥5632.2%
4525.9%
custom 52964171968414080633821.8%
💯137.47%
👍74.02%
😁74.02%
🌚52.87%
💅31.72%

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 isTelegram’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 10 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 174reactions 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 22 July 2026 to 7 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

7 Aug 2026, 10:50 UTC32 views11 reactionsread 9 August 2026
Photo

Российские или зарубежные нейросети: чем рискует бизнес и как защитить данные 💻 Мы в Аихаб работаем и с зарубежными, и с отечественными нейросетями. Наши клиенты могут выбрать любой сценарий: например, кто-то хочет, чтобы все звонки проходили через OpenAI, а кто-то – только через YandexGPT. Использование зарубежных моделей само по себе не запрещено. Но если в такую модель передаются персональные данные, возникает т

6custom 52964171968414080633🔥2

6 Aug 2026, 08:01 UTC44 views11 reactionsread 9 August 2026
Photo

Новая схема обработки звонков в Аихаб 📞 Раньше часть звонков уходила на повторную обработку. Мы это исправили: теперь они обрабатываются с первого раза. Что ещё изменилось: ▫️сложные звонки обрабатываются лучше, чем раньше; ▫️те, что уже обрабатывались хорошо, остаются на том же уровне; ▫️в среднем обработка идёт быстрее. Ну и самая приятная часть: на тарифе это не отражается 😊 💙 Аихаб | #ай_анонс

🔥53custom 52964171968414080632👍1

4 Aug 2026, 12:10 UTC64 views15 reactionsread 9 August 2026
Photo

Алерты в Аихаб: что это такое и как они спасают сделки ➡️ У РОПа есть два пути: первый – слушать 100% звонков, но не успевать делать то, зачем его наняли – бустить продажи, второй – делать выборку из 5-10%, а основное время тратить на планы, найм и отчёты. Обычно побеждает последний вариант. В этом случае руководитель может только догадываться, сколько возражений было не отработано в тех 90-95% коммуникаций, которы

🔥54💯4custom 52964171968414080632

3 Aug 2026, 14:35 UTC47 views17 reactionsread 9 August 2026
Photo

Считаем деньги 🤑 В сложных нишах каждый лид стоит дорого. В недвижимости, например, средняя стоимость по Москве – около 30 000 рублей. Много это или мало – решайте сами. По статистике, которой мы делились на AIDAY, до 28% заявок теряется из-за ошибок менеджеров в разговоре. Но давайте возьмём самый оптимистичный прогноз: всего один слитый лид в неделю. Сколько это в деньгах (и не только), рассказали в карточках.

🔥8💯5custom 52964171968414080634

31 Jul 2026, 14:05 UTC75 views18 reactionsread 9 August 2026
Photo

Лето, ах, лето! ☀️ Ещё один тёплый месяц позади. Мы времени зря не теряли: улучшали продукт и сервис, внедряли Аихаб новым клиентам и создавали классный контент. Подробнее обо всём – в дайджесте. 🔵Провели AIDAY Недвижимость – первое наше профильное мероприятие про продажи, которое собрало 300+ регистраций. Запись эфира можно посмотреть на YouTube и Rutube. 🔵Про наши исследования писали СМИ. О продажах в недвижимо

🔥85custom 52964171968414080635

30 Jul 2026, 13:20 UTC72 views23 reactionsread 9 August 2026
Photo

Новости продукта: новая ролевая модель в Аихаб 👥 Мы переработали систему ролей и доступов. Раньше в системе был один человек от компании: он заходил в личный кабинет и должен был проверять звонки всех менеджеров. В Аихаб появилась возможность работать команде из менеджеров, руководителя отдела продаж и администратора. 👤 Менеджер видит только свои звонки и свою аналитику. Если ИИ ошибся – например, отметил, что мен

🔥12custom 529641719684140806365

29 Jul 2026, 08:32 UTC58 views16 reactionsread 9 August 2026
Photo

«А когда будет результат?» Продолжаем серию постов о том, как работает Аихаб ✌️ Это самый частый вопрос от клиентов на старте, за которым обычно стоит опасение: заплатим, внедрим, а эффекта не увидим. Если ответить коротко, то результата два, и приходят они в разное время. Подробнее об этапах и о том, что ускоряет процесс ⬇️ 🔷Технический результат за 3–14 дней За этот срок вы получаете работающий личный кабинет

🔥65💯4custom 52964171968414080631

27 Jul 2026, 11:45 UTC91 views21 reactionsread 9 August 2026
Photo

Как менеджеры отдела продаж приняли и полюбили ИИ-аналитику 📞 Встречайте Мэри Новикову – эксперта по контролю качества продаж в недвижимости. Мэри уже больше года работает с Аихаб и готова поделиться своим опытом с вами. Её посты будут выходить под хештегом #говорит_Мэри. 💬 Всем привет! Мы начали внедрять речевую аналитику Аихаб, потому что звонков было много, а инструментов для оценки – критически мало. Сначала я

🔥106custom 52964171968414080635

24 Jul 2026, 10:10 UTC88 views25 reactionsread 9 August 2026
Photo

Как мы внедряем Аихаб: этапы, сроки и что нужно от клиента 💻 «Внедрение ИИ в продажи – это долго, сложно, отвлечёт всю команду», – так думают многие из тех, кто откладывает старт. Разберём этот миф на примере внедрения Аихаб. Процесс делится на три части и занимает 3–14 дней. Акт 1 – практический (1 день) Это почти всегда творческий процесс, но мы научились делать его быстро и качественно. Мы слушаем ваши звонки,

11custom 52964171968414080638👍6

22 Jul 2026, 09:10 UTC77 views17 reactionsread 9 August 2026
Photo

Отделы говорят на разных языках – мы проверяли 😁 Смешно, пока это мемы. И грустно, когда две недели спустя выясняется, что под «КП» все имели в виду разное, поэтому задача делалась не та. 💅 – если уверены, что у вас в компании все всё понимают 🌚 – если сами говорите аббревиатурами, и пусть остальные догадываются 💙 Аихаб | #ай_мемы

😁7🌚5💅3custom 52964171968414080632

Showing the 10 most recent of 10 posts we hold for @aihub_online. 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 — 132,438 of 1,345,403entries 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 2 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.

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

“Аихаб | ИИ-аналитика и автоматизация продаж” (@aihub_online), 80 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/aihub_online.

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.