Recorded in 2019 as “Об этом уже написали” — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.
Growth
6 measurements spanning 10 days, net -2. 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 4,011–4,014 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 20:23
4,011
-1
12 Aug 2026, 14:03
4,012
-1
9 Aug 2026, 05:02
4,013
-1
6 Aug 2026, 04:19
4,014
no change
6 Aug 2026, 01:20
4,014
+1
5 Aug 2026, 19:48
4,013
first reading
Engagement
14 posts held, back to 24 October 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 4 pagesof 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 14 posts for this entry, the most recent from 6 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
6m 14s
Average length
1m 15s
Measured directly from 5 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
536 reactions across 14 posts, in 9 distinct kinds. The most used accounts for 44.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
240
44.8%
🌚
73
13.6%
🗿
50
9.33%
☃
46
8.58%
custom 5237829955978547322
39
7.28%
🏆
36
6.72%
💅
31
5.78%
🦄
13
2.43%
👾
8
1.49%
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 14 of the 14 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 536reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 24 October 2025 to 6 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.
Telegram Stars
Stars received
70
across the posts below
Posts paid on
8
of 14 we hold a reading for · 57%
Most on one post
51
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kontsarenko. 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 14 most recent posts we hold for this entry, published 24 October 2025 to 6 July 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.
Два стартапа
Первый мой стартап — iOS-приложение для музыки «ВКонтакте» Plur. Это ещё когда был Дуров, но не было никаких правообладателей.
Я тогда работал в «Яндексе» и мы с дизайнером вдохновлялись первыми интерфейсами без кнопок. Когда всё можно было делать свайпами, никакого скевоморфизма. Вроде Clear.
Запилили приложение в основном для себя, особо не продвигали, но оно хорошо росло, набирало аудиторию, зараба…
Экс-сотрудник Apple, который отвечал за стандарты оформления магазинов компании, поделился несколькими фотографиями проблем, которые он находил во время инспекций.
Хороший тест для дизайнеров интерфейсов бы получился.
Ответы тут:
1. Стол провис посередине.
2. Дырочки в одном месте поехали.
3. Стык на стене не выровнен с разрезом на потолке и на столе.
LLM-менеджеры
Есть такие менеджеры, которые всегда знают, как нужно делать. Я их называю LLM-менеджеры.
Чем отличается он отличается от обычного менеджера? LLM-менеджер может бесконечно рассказывать про то, как важно построить воронки, собрать фокус-группу, сегментировать клиентов, провести интервью, как важно (выберите подходящее) растить ретеншен, выручку, ценность, аудиторию, вовлеченность.
В отличие от Claude …
Разработчики заменят продактов
Все говорят, что AI заменит разработчиков. Я думаю наоборот — исчезнут менеджеры.
Менеджер по продукту, который за чашечкой кофе придумывает фичи, описывает задачки одним предложением и просит разработчика сделать выгрузку — это не менеджер. Это посредник.
Посредники не строят продукты. Посредники мешают их создавать.
Хороший продакт — это разработчик, инженер, который работает с ве…
Подметил простую проверку, насколько продакт разбирается в том, над каким продуктом он работает.
Если на вопрос «А что ты делаешь?» он отвечает, что растит ценность для когорты или проращивает метрику или строит воронку активации — это почти всегда переводится как «я не знаю».
Если отвечает одним предложением в стиле «делаем сервис для логирования ошибок» — перед вами настоящий профессионал.
Если говорит «да пёс е…
Интересные моменты из интервью с директором по продукту X Никита Биер.
Команда
Маленькая горизонтальная команда, 40 инженеров, пара менеджеров, максимум полномочий у каждого. Если в компании Цукербурга согласования могут занимать месяцы, то в X можно разработать фичу за одну неделю.
Принципы
Управление продуктом — это писать как можно меньше кода, чтобы получать максимальный эффект. Лучшие продакты работают как ред…
Lego показала «умные» кирпичи
По размеру и внешнему виду как обычный кирпичик Lego, но внутри чип, динамик, светодиоды и датчики, которые могут реагировать на движение.
Работает так: устанавливаешь на сенсор машины, кирпичик распознает его и теперь проигрывает звук машины и включает огни во время движения.
❤14🏆10☃1custom 52378299559785473221
Showing the 12 most recent of 14 posts we hold for @kontsarenko. 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.
Citation-graph rank
Citation-graph rank — 467,051 of 1,481,502entries 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 3 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.
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.
Denis Sexy IT 🤖 @denissexy · 134,948 Telegram ranks this channel #30 of 95 here — alongside 94 others — read 13 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. 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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“Техно Фил” (@kontsarenko), 4,011 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/kontsarenko.
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.
