Telegram RegisterThe public register of Telegram

Channel

Аналай Маналай🪄

@analaiml

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

56subscribers

+0 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-1002159656654
TypeChannel
Username@analaiml
DescriptionМагия внедрения AI в аналитические и инженерные процессы, автоматизацию рутинных задач и проектирование IT-систем с LLM. Канал аналитика @silasveta
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live10 August 2026
Measurements held2
On Telegramt.me/analaiml

Growth

567 August 2026 — 56 subscribers10 August 2026 — 56 subscribers7 August 202610 August 2026
2 measurements spanning 3 days. 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 55–57 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 07:4656no change
7 Aug 2026, 14:5956first reading

Engagement

19 posts held, back to 5 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
51.2%
avg views ÷ 56 subscribers
Avg views / post
28.7
10 posts measured
Reaction rate
12.2%
reactions ÷ views · ER floor
Posts in window
10
of 19 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 3 of 10 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 31 July 2026
Posts held19 (5 July 202631 July 2026)
Views total287
Reactions total10
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 07:46 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.

What this channel posts

Photos
72
Videos
6
Links
42

Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
12s
Average length
12s

Measured directly from 1 video 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

22 reactions across 7 posts, in 7 distinct kinds. The most used accounts for 31.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍731.8%
🔥522.7%
313.6%
🤯313.6%
😁29.09%
👏14.55%
😱14.55%

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 7 of the 19 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 22reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 5 July 2026 to 31 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.

Recent posts

31 Jul 2026, 08:14 UTC22 viewsread 10 August 2026
Photo

Конечно, я не остановилась на своем тулчейне и пошла исследовать рынок. Итог: моё исследование со сравнительными таблицами инструментов, артефактов, которые можно генерировать и когда каждый из них применять. Велкам! Лучшее, что есть в мире на июнь 2026 среди SDD тулов. https://sdd-method.vercel.app

Signed S F

30 Jul 2026, 17:00 UTC29 views6 reactionsread 10 August 2026

Свой SDD-пайплайн: из интервью в связный пакет доки для людей и агентов Ко мне обратился знакомый с вопросом: с чего начать, чтобы его AI-агент, с которым он только начинает работать, смог сам взяться за разработку продукта. Как подготовить всё заранее, чтобы потом не было мучительно больно при изменениях и при попытке вспомнить, почему что-то сделано именно так. Я потратила на ответ выходные и ещё несколько вечеро

👍3🔥2👏1

Signed S F

24 Jul 2026, 12:00 UTC25 viewsread 10 August 2026
Forwarded from @killerfeatPhoto

Программистам больше не нужно писать код — так считает автор «Чистого кода» и «Чистой архитектуры». Дядя Боб (Роберт Мартин) заявил, что больше не читает код, который ему генерируют ИИ-агенты. По его словам, сейчас процесс выглядит иначе: нейросеть пишет код, затем он проходит через автоматические тесты и проверки — и этого достаточно. Заявление вызвало бурную реакцию в сообществе разработчиков. Одни считают это ло

Signed S F

21 Jul 2026, 03:47 UTC34 viewsread 10 August 2026
Photo

Контекстный инжиниринг на смену раздутым промптам Именно так я и работаю с ClaudeCode и Codex. Но теория не помешает:) Главный тезис видео Google Cloud: раздувать промпт — неверный ход. Контекст — дефицитная рабочая память; больше окно ≠ лучше результат. При заполнении окна точность падает: пролезают ошибки, модель отвлекается на устаревший текст и на куски контекста, которые противоречат друг другу. Определение:

Signed S F

19 Jul 2026, 05:11 UTC27 views2 reactionsread 10 August 2026

Эпоха эхоборгов На конференции у некоторых спикеров иногда было видно, что человек не рассказывает, а читает с экрана текст, который он не писал: явный копипаст из чат-бота, глаза только на суфлёре, ноль своих слов. Оказалось, для этого есть слово. Эхоборг. Термин ввели в 2014 году социальные психологи Кевин Корти и Алекс Гиллеспи из Лондонской школы экономики. Эхоборг — это человек, чья речь целиком или частично

👍1🤯1

Signed S F

19 Jul 2026, 04:46 UTC26 views2 reactionsread 10 August 2026
Photo

Уже давно заметила: после конференций и вообще любого плотного социального дня у меня резко растёт REM-фаза сна. Вчера весь день на конференции, и вот: 1 ч 54 мин REM из 7 ч 39 мин сна, это 25%, верхняя граница нормы. REM — фаза быстрого сна, та самая, в которой мы видим сны. Мозг в ней активен почти как в бодрствовании. Именно REM отвечает за консолидацию эмоциональной и социальной памяти. В таком режиме мозг пере

👍2

Signed S F

18 Jul 2026, 08:42 UTC21 viewsread 10 August 2026
Video

Ровно сейчас на докладе про эту модель ⬆️

Signed S F

18 Jul 2026, 08:42 UTC19 viewsread 10 August 2026
Forwarded from @aioftheday

Т-Технологии выпустили открытую модель для корпоративного поиска T-Search делает многошаговый поиск и собирает релевантный контент из корпоративных баз знаний. Затем этот контент может использовать любая LLM. Работает на русском и английском языках. Построена на Qwen3.6-35B-A3B. Разработчики говорят, что T-Search позволяет экономить на инференсе 20-100% затрат в зависимости от сценария. https://huggingface.co/t-t

Signed S F

15 Jul 2026, 14:29 UTC51 viewsread 10 August 2026

Google выкатил SensorFM — большую модель для носимых устройств Обучили на данных с 5 млн человек, это триллион минут записей с датчиков Fitbit и Pixel Watch из сотни стран. Пульс, движение, температура тела, электрическая активность кожи. Три вещи, которые цепляют: Одна модель на кучу задач. Обычно под каждую задачу учат отдельную модель. Здесь одна справляется сразу с 35: определяет возраст, риск гипертонии, инсу

Signed S F

11 Jul 2026, 17:00 UTC34 viewsread 10 August 2026
Photo

По привычке зашла в КК, зная, что мои лимиты исчерпаны до понедельника, с удивлением обнаружила, что все лимиты обнулились, и оказалось, что да!

Signed S F

10 Jul 2026, 05:10 UTC35 viewsread 10 August 2026

Нейронки наконец-то научились делать схемки и диаграммки. То есть, нормальные редактируемые артефакты. При грамотном управлении получается очень неплохо. Тестировала и ClaudeCode и Codex: обе ок. И ещё Camunda выпустила skills для Claude (и не только), которые помогают создавать BPMN-модели с учётом правил и практик Camunda. Кажется, эпоха многочасового ручного выравнивания квадратиков и стрелочек постепенно закан

Signed S F

Showing the 12 most recent of 19 posts we hold for @analaiml. 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.

Forward network

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

“Аналай Маналай🪄” (@analaiml), 56 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/analaiml.

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.