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Channel

🏆 AIeron | Data Feeling

@datafeeling

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

14,242subscribers

-271 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001457597091
TypeChannel
Username@datafeeling
Created21 March 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/datafeeling

Topic

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 87% 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

14,24217,51815,8806 August 2026 — 14,513 subscribers6 August 2026 — 14,513 subscribers6 August 2026 — 14,518 subscribers7 August 2026 — 14,512 subscribers8 August 2026 — 14,494 subscribers9 August 2026 — 17,518 subscribers10 August 2026 — 14,552 subscribers11 August 2026 — 14,487 subscribers12 August 2026 — 14,483 subscribers13 August 2026 — 14,476 subscribers15 August 2026 — 14,468 subscribers16 August 2026 — 14,464 subscribers17 August 2026 — 14,453 subscribers18 August 2026 — 14,450 subscribers20 August 2026 — 14,444 subscribers22 August 2026 — 14,428 subscribers23 August 2026 — 14,420 subscribers25 August 2026 — 14,424 subscribers26 August 2026 — 14,419 subscribers27 August 2026 — 14,407 subscribers28 August 2026 — 14,411 subscribers30 August 2026 — 14,404 subscribers31 August 2026 — 14,400 subscribers1 September 2026 — 14,389 subscribers1 September 2026 — 14,380 subscribers2 September 2026 — 14,376 subscribers4 September 2026 — 14,355 subscribers6 September 2026 — 14,343 subscribers9 September 2026 — 14,316 subscribers12 September 2026 — 14,297 subscribers13 September 2026 — 14,295 subscribers15 September 2026 — 14,286 subscribers17 September 2026 — 14,291 subscribers25 September 2026 — 14,242 subscribers6 August 202625 September 2026
34 measurements spanning 50 days, net -271. 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 13,751–18,009 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
25 Sept 2026, 17:3714,242-49
17 Sept 2026, 11:4014,291+5
15 Sept 2026, 13:2014,286-9
13 Sept 2026, 22:2014,295-2
12 Sept 2026, 02:5514,297-19
9 Sept 2026, 21:1914,316-27
6 Sept 2026, 17:3714,343-12
4 Sept 2026, 07:3714,355-21
2 Sept 2026, 21:3714,376-4
1 Sept 2026, 22:2514,380-9
1 Sept 2026, 01:4514,389-11
31 Aug 2026, 03:4414,400-4
30 Aug 2026, 05:3814,404-7
28 Aug 2026, 04:3314,411+4
27 Aug 2026, 05:3814,407-12
26 Aug 2026, 02:0414,419-5
25 Aug 2026, 02:0614,424+4
23 Aug 2026, 16:3814,420-8
22 Aug 2026, 01:4814,428-16
20 Aug 2026, 16:4314,444first reading

Engagement

45 posts held, back to 8 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 51 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.8%
avg views ÷ 14,242 subscribers
Avg views / post
1,690
6 posts measured
Reaction rate
0.918%
reactions ÷ views · ER floor
Posts in window
6
of 45 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 5 of 6 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 1 September 2026
Posts held45 (8 July 2026 – 1 September 2026)
Views total10,120
Reactions total78
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 18:38 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
1m 04s
Average length
21s

Measured directly from 3 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

1,099 reactions across 44 posts, in 13 distinct kinds. The most used accounts for 34.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤37434.0%
😁34231.1%
🔥16615.1%
👍1039.37%
🏆423.82%
💯292.64%
custom 5787518600872988853100.91%
⚡90.819%
🤯90.819%
custom 544298358288260196280.728%
🎉50.455%
custom 578731904810248201110.091%
😈10.091%

Custom emoji. 3 of the rows above are 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 44 of the 45 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 1,099 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 45 most recent posts we hold, published 8 July 2026 to 1 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
30
across the posts below
Posts paid on
5
of 45 we hold a reading for · 11%
Most on one post
22
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @datafeeling. 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 45 most recent posts we hold for this entry, published 8 July 2026 to 1 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.

Recent posts

1 Sept 2026, 19:36 UTC≈1,480 views15 reactions5 Starsread 2 September 2026
Photo

🙂 Claude Fable 5.1 вышла. Модель обходится в 1,5-2 раза дешевле Fable 5, при этом заметно выросла производительность в агентных задачах. Сейчас это самая мощная модель на рынке. Fable 5.1 использовала радиолокационные изображения Венеры, полученные миссией NASA Magellan более 30 лет назад, чтобы обучить нейросеть и создать новую высокодетальную карту рельефа примерно трети планеты. Новая карта показывает детали раз…

🔥11❤4

Signed Aleron Milenkin

1 Sept 2026, 15:24 UTC≈1,620 viewsread 2 September 2026
Photo

Какой-то рекордсмен прислал мне скрин с таким вот скором. Кто-то сможет пробить его MRR? Камон, сегодня день знаний. Давайте посоревнуемся, кто пробежит дальше. Кидать свои скрины с результатом в комментарии https://gptunnel.ru/app/VZPAj

Signed Aleron Milenkin

31 Aug 2026, 19:51 UTC≈1,730 views5 reactionsread 2 September 2026
Photo

Отмена! Слишком уж простой ребус отказался. Я поднялся ставки и усложнил процесс 🔫 Погнали сыграем! Игра называется долина смерти ⌨️

❤2😁2custom 54429835828826019621

Signed Aleron Milenkin

31 Aug 2026, 19:17 UTC≈1,680 views3 reactionsread 2 September 2026

😭 Вот и лето прошло … придумал задание пасхалку к 3-му сентября пасхалка связанна со знаменитостью, кого мы скоро все вспомним заодно это будем подарком на 1-е сентября, тем, кому важен день знаний как день старта нового. Как разгадаете промик на 50%, вбивайте его сюда https://stepik.org/a/258985 Будем вместе 3 месяца работа, коммуницирую почти каждый день, пока не дойдем до результата Очень хочу себе накопать …

😁2❤1

Signed Aleron Milenkin

31 Aug 2026, 14:56 UTC≈1,670 views24 reactionsread 2 September 2026
Photo

🤓 13 заметок, которые я собрал, пока общался с фаундерами, кто в 10-100х крупнее меня. Технические навыки это лишь промежуточная точка на пути к своему коммерческому делу. Новые опции должны быть консистентны с основным каналом трафика. Продавать надо до того, как сделал (игра в cash-flow проекты). Чем сложнее решение проблемы, тем она сексуальнее. (иначе тебя «трахнут» вайбкодеры) Не придумывать гениальные идеи…

👍14🏆5🔥3❤2

Signed Aleron Milenkin

30 Aug 2026, 21:57 UTC≈1,940 views31 reactions1 Starread 2 September 2026
Photo

Вайбкодинг - это наркотик, и убивает он не ценой токенов. Я со страхом смотрю, как он вынуждает людей, не успев доделать один сервис и выжать все из маркетинга, запускать уже следующий. Так, я периодически трачу время на то, чтобы заставить партнеров отказаться от своих "гениальных" идей и сфокусироваться на том, как сделать х10 в том, что уже получается. Дойти от 0 до 1 в виде первых 100 оплат намного сложнее, че…

❤24💯4👍3

Signed Aleron Milenkin

26 Aug 2026, 11:34 UTC≈2,700 views43 reactionsread 2 September 2026
Photo

Найди себя

😁20❤16custom 57875186008729888537

Signed Aleron Milenkin

26 Aug 2026, 08:50 UTC≈2,690 views14 reactionsread 2 September 2026
Photo

❗️ Полезное❗️ Найден ИИ-ассистент, который реально экономит рабочее время и не сливает корпоративные данные Сотрудникам не придется тратить время на поиск информации по разрозненным документам, регламентам и ссылкам. С корпоративным ИИ-ассистентом от Selectel и KTS все собрано в единой базе знаний с умным поиском. С вас — запросы на естественном языке, с ассистента — мгновенные структурированные ответы, краткие в…

😁12❤1👍1

Signed Aleron M

23 Aug 2026, 10:51 UTC≈2,630 views33 reactions1 Starread 2 September 2026

Не могу придумать куда эту фразу вставить и когда идеальный момент. Поэтому просто так прямо скажу … Я вас люблю 🫶

❤33

Signed Aleron Milenkin

23 Aug 2026, 10:03 UTC≈2,720 views9 reactionsread 2 September 2026
Photo

Вайбкодеры, такие вайбкодеры … Есть небезосновательное мнение, что прыгающие сразу в вайбкодинг люди, минуя фазу изучения базы - рискуют сделать сервис с «дырками». Так оно и есть. Я пронюхал пару несовершенств, которые легко дают возможность получать доп ссылки на свои сервисы. Паттерн везде очень похожий. Его даже сам король lovable.dev не закрыл еще. Поэтому я пошел искать его аналоги и делать фановые штуки. К…

❤6custom 57875186008729888533

Signed Aleron Milenkin

22 Aug 2026, 20:17 UTC≈3,180 views23 reactionsread 2 September 2026
Video

SaaS (Software as a Service или «программное обеспечение как услуга») — это модель, когда готовая программа работает в облаке, а пользователи платят за неё по подписке. Ничего не нужно скачивать на компьютер или настраивать на своих серверах — достаточно зайти через браузер.

😁17👍4❤1custom 54429835828826019621

Signed Aleron Milenkin

20 Aug 2026, 10:01 UTC≈3,080 views5 reactionsread 2 September 2026
Photo

Наткнулся на классную темку для студентов — Ozon Tech проводит E-CUP 2026 Students по ML, Data Science и аналитике с призовым фондом 7 200 000 рублей и фидбэком от инженеров Ozon. Еще и мерч дают. Задачи из жизни, основаны на реальных обезличенных данных маркетплейса: найти дубликаты товаров, настроить ИИ-модерацию карточек или спрогнозировать поведение пользователей. Можно залететь в соло или бандой до 5 человек. …

👍3❤2

Signed Aleron M

Showing the 12 most recent of 45 posts we hold for @datafeeling. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@datafeeling edited 4 posts 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
9 August 2026
Most recent edit
19 August 2026

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 14 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Время Валеры
@cryptovalerii · 30,808
Telegram ranks this channel #8 of 94 here — alongside 93 others — read 6 September 2026
Stepik – онлайн-курсы
@stepik_courses · 24,454
Telegram ranks this channel #9 of 93 here — alongside 92 others — read 16 September 2026
Machine learning Interview
@machinelearning_interview · 30,308
Telegram ranks this channel #10 of 98 here — alongside 97 others — read 7 September 2026
Data Science Jobs
@datasciencejobs · 22,137
Telegram ranks this channel #13 of 93 here — alongside 92 others — read 21 September 2026
XOR
@xor_journal · 182,317
Telegram ranks this channel #14 of 93 here — alongside 92 others — read 12 August 2026
karpov.courses
@KarpovCourses · 27,446
Telegram ranks this channel #15 of 96 here — alongside 95 others — read 10 September 2026
Dev & ML Connectable Jobs
@dev_connectablejobs · 27,959
Telegram ranks this channel #15 of 94 here — alongside 93 others — read 10 September 2026
Data Secrets
@data_secrets · 94,138
Telegram ranks this channel #15 of 98 here — alongside 97 others — read 17 August 2026
Data Science Jobs
@datascienceml_jobs · 21,227
Telegram ranks this channel #18 of 97 here — alongside 96 others — read 24 September 2026
Анализ данных (Data analysis)
@data_analysis_ml · 50,656
Telegram ranks this channel #19 of 93 here — alongside 92 others — read 25 August 2026
LLM под капотом
@llm_under_hood · 29,146
Telegram ranks this channel #25 of 96 here — alongside 95 others — read 9 September 2026
Machinelearning
@ai_machinelearning_big_data · 279,417
Telegram ranks this channel #27 of 95 here — alongside 94 others — read 10 August 2026
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 45,531
Telegram ranks this channel #33 of 90 here — alongside 89 others — read 28 August 2026
Инжиниринг Данных
@rockyourdata · 23,732
Telegram ranks this channel #34 of 93 here — alongside 92 others — read 17 September 2026
Поколение Python 🐍
@pygen_ru · 50,072
Telegram ranks this channel #36 of 93 here — alongside 92 others — read 25 August 2026
эйай ньюз
@ai_newz · 96,889
Telegram ranks this channel #37 of 94 here — alongside 93 others — read 16 August 2026
Sber AI
@SberAIScience · 27,144
Telegram ranks this channel #42 of 95 here — alongside 94 others — read 10 September 2026
Noukash
@noukashblog · 21,622
Telegram ranks this channel #44 of 95 here — alongside 94 others — read 23 September 2026
LEFT JOIN
@leftjoin · 42,064
Telegram ranks this channel #45 of 95 here — alongside 94 others — read 29 August 2026
Job for Analysts & Data Scientists
@foranalysts · 36,643
Telegram ranks this channel #46 of 96 here — alongside 95 others — read 1 September 2026
Яндекс Образование
@Education_Yandex · 37,959
Telegram ranks this channel #46 of 96 here — alongside 95 others — read 31 August 2026
Data Science
@datascienceiot · 42,634
Telegram ranks this channel #53 of 76 here — alongside 75 others — read 29 August 2026
Яндекс нанимает | Вакансии для разработчиков
@ya_jobs · 32,803
Telegram ranks this channel #59 of 96 here — alongside 95 others — read 5 September 2026
Python вопросы с собеседований
@python_job_interview · 24,881
Telegram ranks this channel #61 of 90 here — alongside 89 others — read 15 September 2026

This channel appears in 27 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“🏆 AIeron | Data Feeling” (@datafeeling), 14,242 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/datafeeling.

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.