Всем привет, на связи Рома Маресов - руковожу е-ком'ом и транзакционным AI в Яндексе (Market, E-com Search, Alice Transactions, Games). Делюсь личным и рассказываю про наши технологии!
А самом деле мечтаю ресторан открыть ;)
Created
16 March 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Gaming — 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 86% 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
32 measurements spanning 51 days, net +2,513. 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 22,715–26,280 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
26 Sept 2026, 00:57
25,869
+2,417
19 Sept 2026, 05:21
23,452
-10
16 Sept 2026, 18:21
23,462
+336
14 Sept 2026, 19:00
23,126
-14
13 Sept 2026, 02:36
23,140
-11
11 Sept 2026, 04:18
23,151
-23
8 Sept 2026, 09:36
23,174
-50
5 Sept 2026, 06:20
23,224
-13
3 Sept 2026, 10:11
23,237
-10
2 Sept 2026, 02:45
23,247
-4
1 Sept 2026, 04:45
23,251
-13
31 Aug 2026, 03:59
23,264
-19
30 Aug 2026, 01:28
23,283
-1
29 Aug 2026, 01:27
23,284
+2
28 Aug 2026, 02:24
23,282
+4
26 Aug 2026, 03:02
23,278
-8
25 Aug 2026, 03:52
23,286
-2
23 Aug 2026, 22:27
23,288
-2
22 Aug 2026, 04:58
23,290
-1
20 Aug 2026, 18:48
23,291
first reading
Engagement
36 posts held, back to 29 May 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 69 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
41.6%
avg views ÷ 25,869 subscribers
Avg views / post
10,800
13 posts measured
Reaction rate
2.01%
reactions ÷ views · ER floor
Posts in window
13
of 36 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 1 October 2026
Posts held
36 (29 May 2026 – 1 October 2026)
Views total
140,060
Reactions total
2,821
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Oct 2026, 04:20 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
677
Videos
89
Links
160
Lifetime counters from Telegram’s own channel header, read 2 October 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
2m 21s
Average length
47s
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
8,636 reactions across 35 posts, in 17 distinct kinds. The most used accounts for 43.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,793
43.9%
🔥
1,338
15.5%
😁
789
9.14%
👎
662
7.67%
💔
594
6.88%
❤🔥
380
4.40%
😭
329
3.81%
🤯
164
1.90%
🤣
160
1.85%
💯
136
1.57%
🤔
100
1.16%
🥱
52
0.602%
🏆
39
0.452%
✍
37
0.428%
custom 5224192932302565805
35
0.405%
😱
15
0.174%
🫡
13
0.151%
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 is 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 36 of the 36 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 8,856 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 36 most recent posts we hold, published 29 May 2026 to 1 October 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
123
across the posts below
Posts paid on
18
of 36 we hold a reading for · 50%
Most on one post
56
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @media_rare. 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 36 most recent posts we hold for this entry, published 29 May 2026 to 1 October 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.
В детстве - надеешься получить письмо из Хогвартса!
Вырос - молишься, чтобы не получить такое письмо от Антропика..
Честно говоря непонятно, как писать код сегодня без любимого claude code - вот теперь и определим масштаб личности на фоне такой проблемы(см. предыдущий пост) :) Codex, welcome back.. >_<
@media_rare
Масштаб личности определяется проблемой, которая его выводит из себя.
Переберите людей вокруг себя по этому принципу и удивитесь точности формулировки)
@media_rare
Только рассказала про то, что Мбаппе ушёл из Nike в On, но ведь есть нюанс: бутсы On ещё не готовы.
Поэтому первый матч после объявления партнёрства он сыграл в своих Nike Mercurial - просто полностью заклеив логотипы.
А дальше Nike сделал то, за что я его и люблю: почти сразу в продаже появилась white-out версия Mercurial - практически те самые полностью белые бутсы.
Даже потерю одного из своих главных спортсмено…
Мбаппе взял пример с Федерера и тоже стал акционером компании ON, разорвав свой 20летний контракт с Nike! Сам фанат кроссовок ON невероятный и считаю их крутыми, но история не об этом) Видимо пацаны бутсы еще не сделали и поэтому на последний матч Килиан вышел в белых бутсах Nike на которых стер со всех сторон лого, но забыл это сделать на подошве и его так спалили :)
А теперь финалочка и пример, что большие корпор…
Весна покажет - кто где срал!)
Фраза месяца, держащая в здравии голову во время сложных продуктовых замесов, когда надо отстаивать свою точку зрения в долгосрочных решениях. Повторяю себе команде, как мантру весь сентябрь на сложных запусках!
Берите на вооружение и делайте то, во что верите ;)
@media_rare
#стоит_того #игры
7 часов вчера с друзьями рубились в Heroes Might Magic Olden Era и возможно это был лучший выходной в этом году, закончившийся глубокой ночью!
Они точно такие же, как легендарные третьи, только графон современный, юниты новые и чуть больше заморочек с дополнительными очками развития/модификаций армий итд. Чувствовал себя опять ребенком, который после школы бежал к кому, чтобы прокачать цепную молн…
Помните мы оказались в мире, где модель OpenAI решила задачу Навье-Стокса? Самый сок случился потом!
Оказалось профессор Нью-Йоркского университета Бакмастер и математик из Anthropic Альпеге уже год решали ту же задачу с Claude и Codex, причем сами в августе затизерили, что почти дожали. Именно поэтому OpenAI и бросили на задачу 10 тысяч агентов, чтобы успеть сделать это раньше, более того - они предлагали профессор…
Miro продается в 10 раз дешевле от своей максимальной стоимости - довольно трагично для мира B2B SaaS и российского IT
Когда-то Миро был нашей звездочкой, компанией из Перми с оценкой в 17 миллиардов(!) долларов. А теперь в эпоху AI, где можно собрать себе на клоде/кодексе любой прототип за пару промтов ребята видимо поняли на внутренних метриках, что бизнесу real-time досок кирдык =/
Но вообще строить компанию сто…
Третья проблема тысячелетия видимо тоже решена - как избавиться от складки на гибком дисплее ;)
iPhone Duo:
🔥 наконец беру раскладушку, ура!
👎 китайцы и корейцы давно уже все придумали :/
@media_rare
Open AI выложил решение задачи Навье-Стокса, которую институт Клэя включил в 2000 году в список 7 главных проблем математики нового тысячелетия. Уверен вы слышали про одну из них - гипотезу Пуанкаре, которую решил Григорий Перельман и отказался от приза в 1 млн $.
Утверждается, что потребовалась внутренняя модель следующего поколения после Astra, 10 000 агентов и 130млрд токенов. По внешнему прайсу это бы стоило 15-…
20-летний Кими Антонелли сделал самый крутой камбэк в Формуле 1 за 40 лет - выиграл гонку, стартовав на 19 позиции
Представьте, что вы вам 5 дней назад исполнилось 18 лет, первый выезд официальный на машине формулы 1 в карьере. Все вокруг обсуждают, что вы заоверхайпленный золотой ребенок, которого слишком рано подписали и отправили на трассу..и...вы убираетесь в отбойник через 10 минут заезда. Так начал свою взросл…
Посмотрел Человека-Паука: Новый день и мне очень понравился! 8/10 за качество кино и 9/10 по совокупности скучания по топовым фильмам Марвел со времен финала мстителей в 2019.
Он и более взрослый, и круто снятый и даже Зиндая хоть в нескольких сценах меняла свое выражение лица. И несколько сочных шуток - в общем полный комплект кайфов от человека паука. Особенно понравилось, что они не стали продолжать снимать про п…
❤122🔥37👎10🥱6❤🔥5😁5🤣2
Showing the 12 most recent of 36 posts we hold for @media_rare. 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.
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 10 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 18 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Из коммерса в е-коммерса @hikollegi · 55,944 Telegram ranks this channel #4 of 100 here — alongside 99 others — read 23 August 2026
Ozon HQ @ozonhq · 29,397 Telegram ranks this channel #14 of 88 here — alongside 87 others — read 9 September 2026
#Фудтех @foodtechonline · 21,183 Telegram ranks this channel #33 of 97 here — alongside 96 others — read 24 September 2026
Яндекс нанимает | Вакансии для PM @ya_jobs_pm · 29,939 Telegram ranks this channel #35 of 98 here — alongside 97 others — read 8 September 2026
ХУЦПА <-> Женя Давыдов @hutzp · 45,113 Telegram ranks this channel #41 of 98 here — alongside 97 others — read 27 August 2026
Яндекс @yandex · 606,530 Telegram ranks this channel #43 of 96 here — alongside 95 others — read 9 August 2026
Яков и Партнёры @YakovPartners · 20,364 Telegram ranks this channel #45 of 99 here — alongside 98 others — read 27 September 2026
Яндекс Пэй @yandexfintech · 179,648 Telegram ranks this channel #46 of 88 here — alongside 87 others — read 12 August 2026
Открытая кухня | Яндекс Еда @otkrytaya_kuhnya · 59,871 Telegram ranks this channel #47 of 97 here — alongside 96 others — read 21 August 2026
Ozon Team @ozonteam · 22,918 Telegram ranks this channel #49 of 89 here — alongside 88 others — read 19 September 2026
Свободная касса (ритейл & e-com) @svobodakassa · 31,622 Telegram ranks this channel #51 of 98 here — alongside 97 others — read 6 September 2026
ТЕХНО: Яндекс про технологии @techno_yandex · 224,759 Telegram ranks this channel #54 of 96 here — alongside 95 others — read 11 August 2026
Dasha’s notes | люди и смыслы @technohumanist · 37,666 Telegram ranks this channel #58 of 95 here — alongside 94 others — read 1 September 2026
👨🏻💻/ Марат Юсупов @maratyus · 106,088 Telegram ranks this channel #62 of 99 here — alongside 98 others — read 15 August 2026
Young&&Yandex @Young_and_Yandex · 111,492 Telegram ranks this channel #63 of 92 here — alongside 91 others — read 14 August 2026
Соколова наизнанку @naiznankuo · 58,573 Telegram ranks this channel #65 of 95 here — alongside 94 others — read 23 August 2026
Яндекс Аренда | сдаю @yandexarenda_sdayu · 33,164 Telegram ranks this channel #66 of 75 here — alongside 74 others — read 2 September 2026
deep mind 2.0 @mindfulleadersrussia · 19,896 Telegram ranks this channel #70 of 96 here — alongside 95 others — read 29 September 2026
Глеб Соломин 🚀 24.05.2025 @gleb_solomin · 60,035 Telegram ranks this channel #71 of 77 here — alongside 76 others — read 22 August 2026
Нетмонет @netmonet_co · 197,705 Telegram ranks this channel #72 of 87 here — alongside 86 others — read 28 September 2026
Data Insight . Цифры E-commerce @DataInsight · 20,070 Telegram ranks this channel #73 of 97 here — alongside 96 others — read 29 September 2026
🤖 The Bell Tech @Bell_tech · 20,607 Telegram ranks this channel #73 of 97 here — alongside 96 others — read 26 September 2026
Продакты не нужны @betternotworse · 28,446 Telegram ranks this channel #73 of 96 here — alongside 95 others — read 9 September 2026
Стартап дня. Александр Горный. @startupoftheday · 60,633 Telegram ranks this channel #74 of 97 here — alongside 96 others — read 22 August 2026
This channel appears in 50 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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Media Rare” (@media_rare), 25,869 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/media_rare.
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.