Telegram RegisterThe public register of Telegram

Channel

tak pobedim.design

@tap_design

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

2,983subscribers

+4 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001153720411
TypeChannel
Username@tap_design
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/tap_design

Growth

2,9792,9842,981.56 August 2026 — 2,979 subscribers6 August 2026 — 2,979 subscribers7 August 2026 — 2,980 subscribers10 August 2026 — 2,984 subscribers14 August 2026 — 2,983 subscribers2,9836 August 202614 August 2026
5 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 2,978–2,985 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 07:462,983-1
10 Aug 2026, 14:032,984+4
7 Aug 2026, 03:402,980+1
6 Aug 2026, 23:002,979no change
6 Aug 2026, 22:482,979first reading

Engagement

11 posts held, back to 28 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 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.01%
avg views ÷ 2,983 subscribers
Avg views / post
269
11 posts measured
Reaction rate
4.84%
reactions ÷ views · ER floor
Posts in window
11
of 11 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 held11 (28 July 20267 August 2026)
Views total2,955
Reactions total143
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 00:14 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

143 reactions across 11 posts, in 4 distinct kinds. The most used accounts for 53.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 59475145550798559887653.1%
custom 59474746934883819152517.5%
custom 59471127608893147142416.8%
custom 59470091190334943181812.6%

Custom emoji. Every 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 counts beside them areTelegram’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 11 of the 11 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 143reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 28 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, 08:54 UTC156 views7 reactionsread 8 August 2026
Photo

Хочу поддержать проект. Олег Цербаев запускает бесплатную мастерскую по AI-фотографии «Машина желаний». Это четыре живые практические встречи без записей и без продаж, где можно разобраться, как принципы фотографии — композиция, свет, ракурс, работа с эмоцией и визуальным языком — работают в нейросетях. Курс подойдёт тем, кому интересно не просто генерировать красивые картинки, а создавать осмысленные авторские изо

custom 59475145550798559887

7 Aug 2026, 08:53 UTC135 views2 reactionsread 8 August 2026
Forwarded from @tserbaevchannelPhoto

Как попасть на мастерскую "Машина Желаний" Начало в предыдущем посте. Встречи: 12 и 13 августа в 19:00 мск (18:00 Берлин), 15 и 16 августа — в 11:00 мск (10:00 Берлин). Хотите работать в живом кругу Zoom, получать фидбек и комментарии? Нужно два действия. 1. Напишите у себя в соцсети вашу личную историю и опишите свое отношение к фотографии и визуальным нейросетям. Не обязательно перепост. Я прошу рассказать свою

custom 59475145550798559882

6 Aug 2026, 10:50 UTC197 views21 reactionsread 8 August 2026
Photo

Mottainai. Мы совершенно перестали быть интересны друг другу и в основном занимаемся тем, что кричим в толпе. Искусство разумного потребления Несколько лет я не могла спроектировать себе дома нормальную кухню — хотя профессиональные навыки у меня в это деле вполне есть (я интерьерист в очень далеком прошлом и умею проектировать), подступиться к этому было сложно по серии разных причин — нет денег, ковид, депрессия

custom 594751455507985598821

5 Aug 2026, 06:16 UTC211 views12 reactionsread 8 August 2026
Forwarded from @brandtransform

Комьюнити Так как же находить своё комьюнити, если профессия одновременно вдохновляет и может выматывать? В профессии «свои» — это не просто люди из области, ты рядом с ними не истощаешься, а собираешься. Им важно не только то, как ты делаешь дизайн, но и какой ты внутри: смыслы, юмор, отношение к людям, жизни и работе. Я сама того не заметила, выстроила свою систему поиска своих — просто по тому, как складывались с

custom 594751455507985598812

5 Aug 2026, 06:16 UTC224 views2 reactionsread 8 August 2026

Спасибо за упоминание 🫰🏻🩷

custom 59475145550798559882

30 Jul 2026, 11:09 UTC384 views24 reactionsread 8 August 2026
Photo

Как контент в микроблогах разрушает профессиональный репутационный фонд Хорошая коммуникация перестает быть вопросом вежливости и становится частью профессиональной компетенции. В интеллектуальных профессиях (к которым дизайн, бесспорно, и относится) доверие постепенно превращается в такой же важный актив, как опыт, насмотренность или технические инструментальные навыки. Парадокс заключается в том, что в мире, кот

custom 594711276088931471418custom 59474746934883819156

30 Jul 2026, 11:09 UTC324 views10 reactionsread 6 August 2026
File

File, posted without a caption

custom 594751455507985598810

29 Jul 2026, 09:04 UTC358 views19 reactionsread 6 August 2026
Photo

Столько разговоров про HR в IT-среде и в дизайне, что прям интересно было бы послушать от психологов связан ли эйчар-беспредел с грандиозным нарциссизмом и нарциссическим расширением, ибо власть порождает удивительные парадигмы. Даже если это иллюзия власти. Мне как-то эйчары попадались только хорошие, поэтому своего негативного опыта у меня нет.

custom 594700911903349431813custom 59471127608893147146

28 Jul 2026, 17:22 UTC328 views11 reactionsread 6 August 2026

Спасибо Алексею за высокую оценку моего преподавания и за приятную работу.

custom 59475145550798559889custom 59474746934883819152

28 Jul 2026, 17:21 UTC304 views14 reactionsread 6 August 2026
Forwarded from @not_yet_designVideo

Продолжаю делиться своими работами с курса Креативный AI И это моя любимая домашка! Досмотрите ролик, поймёте почему!😬 Изначально это было задание, в котором надо было сохранить консистентность персонажа, переодевая его в разные образы. Но идея быстро вышла из под контроля и был создан сюжет, который станет понятен многим😄😄 Вообще преподаватели курса очень внимательно следили за визуальной и эстетической составляющ

custom 594751455507985598811custom 59470091190334943183

28 Jul 2026, 13:34 UTC334 views21 reactionsread 6 August 2026
Photo

Самые классные качества дизайнера — неочевидные Про них особо не говорят на курсах и вебинарах, но в основном пишут в книгах или обсуждают в кулуарных разговорах в маленьких чатах среди важных личностей. У меня нет картинки визуализировать этот пост, поэтому покажу мои любимые мемы. В дизайне, как во многих профессиях, завязанных на экономике внимания и впечатлений, личный подход исполнителя к работе имеет важную

custom 594747469348838191517custom 59470091190334943182custom 59475145550798559882

Showing the 11 most recent of 11 posts we hold for @tap_design. 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 — 80,270 of 1,336,469entries 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

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.

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

“tak pobedim.design” (@tap_design), 2,983 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/tap_design.

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.