Telegram RegisterThe public register of Telegram

Channel

СТАРТАПОЧНАЯ

@startupcafeshka

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

132subscribers

+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-1002238267406
TypeChannel
Username@startupcafeshka
Descriptioneverything is perfect but nado peredelat Возглавляю комитет по борьбе со скукой Мать: https://metod.company https://www.sarayflowers.ae https://rastsvetaydobro.ru складума.рф
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live9 August 2026
Measurements held2
On Telegramt.me/startupcafeshka

Growth

1327 Aug 2026, 19:38 — 132 subscribers9 Aug 2026, 00:45 — 132 subscribers7 Aug 2026, 19:389 Aug 2026, 00:45
2 measurements spanning 1 day. 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 131–133 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 00:45132no change
7 Aug 2026, 19:38132first reading

Engagement

15 posts held, back to 27 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
52.8%
avg views ÷ 132 subscribers
Avg views / post
69.7
15 posts measured
Reaction rate
11.8%
reactions ÷ views · ER floor
Posts in window
15
of 15 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 14 of 15 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 6 August 2026
Posts held15 (27 July 20266 August 2026)
Views total1,046
Reactions total115
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 00:45 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
830
Videos
100
Links
81

Lifetime counters from Telegram’s own channel header, read 9 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
16s
Average length
8s

Measured directly from 2 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

115 reactions across 14 posts, in 10 distinct kinds. The most used accounts for 29.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3429.6%
🔥2824.3%
❤‍🔥2320.0%
👍97.83%
😁97.83%
💯54.35%
👏32.61%
custom 525587120662356388621.74%
😈10.87%
🤔10.87%

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 15 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 115reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 27 July 2026 to 6 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.

Telegram Stars

Stars received
4
across the posts below
Posts paid on
3
of 15 we hold a reading for · 20%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @startupcafeshka. 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 15 most recent posts we hold for this entry, published 27 July 2026 to 6 August 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

6 Aug 2026, 06:45 UTC30 views3 reactionsread 9 August 2026

Часть 2. Юристы впервые пускают чужие деньги Вторая новость того же дня, и она про «те же яйца, только в профиль». Крупнейшие юрфирмы США готовятся продавать доли частным инвесторам. Чтобы понять масштаб: юридический бизнес веками был закрытым партнёрством. Никаких посторонних. Владеть фирмой могли только сами юристы. Это было не правило, а религия. И вот эту дверь открывают. Официально причин никто не объясняет

1👏1🔥1

6 Aug 2026, 06:39 UTC31 views3 reactionsread 9 August 2026

Мой тренд-радар сегодня выдал две новости, и обе про консалтинг (вам, возможно, не интересно, но мне очень важно!) Само наличие таких новостей - уже странно: отрасль о себе обычно молчит и пишет только про клиентов. Но сегодня утром Financial Times спрашивает нас в лоб: зачем нужны консультанты, если исследования, анализ и рекомендации теперь пишет ИИ. Вторая новость: крупнейшие юрфирмы США впервые пускают в капит

1🔥1🤔1

6 Aug 2026, 05:40 UTC42 views10 reactionsread 9 August 2026
Photo

Журналистский диплом не пропьёшь (я проверяла!) Пять лет меня учили добывать информацию. Двенадцать лет я продаю консалтинг. А на прошлой неделе эти две жизни встретились: я собрала для МЕТОДа тренд-радар - систему, которая каждое утро приносит выжимку из мировых и российских источников, отобранную под мои интересы. Теперь я пью кофе и читаю то, что еще мало кто видел. Российские медиа доберутся до половины этих с

❤‍🔥4🔥42

5 Aug 2026, 10:34 UTC53 views9 reactionsread 9 August 2026
Photo

Мой ИИ-абьюзер 😄

❤‍🔥4👍3😁2

5 Aug 2026, 09:13 UTC52 views3 reactionsread 9 August 2026

Буллинг на работе теперь противоречит ГОСТу Росстандарт утвердил стандарт по управлению безопасностью труда и охране здоровья. По нему сотрудников положено мотивировать и поддерживать, задачи ставить чётко, нагрузку контролировать, а графики не менять внезапно. Отдельным пунктом руководителям рекомендовано не допускать буллинга, социальной изоляции, неравенства, сокрытия информации и злоупотребления полномочиями.

👍1🔥1😁1

5 Aug 2026, 07:52 UTC54 views7 reactionsread 9 August 2026
Video

Нет настроения — нет продаж Можно написать идеальный скрипт. Можно вылизать презентацию до последнего кегля. Но если менеджер заходит в разговор с лицом «опять эти клиенты», сделки не будет. Спойлер: клиент считывает не аргументы, а тон. Раньше, чем вы дошли до второго абзаца КП. Исследователи эмоционального заражения выяснили: мы бессознательно копируем мимику, дыхание и интонацию собеседника. Лицевые мышцы пов

4❤‍🔥2👍1

3 Aug 2026, 07:42 UTC69 views2 reactionsread 9 August 2026
Forwarded from @kutergin_on_fire

Только в нашей стране фраза «подавайте в суд», звучит как форма послать своего контрагента!

💯2

3 Aug 2026, 07:07 UTC93 views16 reactionsread 9 August 2026
File

Этот день официально настал: мы открываем продажи франшиз «СКЛАД УМА» Ура! Бизнес, который мы несколько лет собирали своими руками, теперь можно купить как готовую модель. Детский научно-инженерный центр с программой, созданной вместе с крупнейшими технологическими партнерами, прибылью до 600 000 рублей в месяц и родителями, которые подписывают договор сразу после пробного занятия. Я ждала этого момента очень сильн

🔥84👏2custom 52558712066235638862

31 Jul 2026, 20:15 UTC85 views2 reactions1 Starread 9 August 2026
Forwarded from @chtvmagPhoto

Я, конечно, не умею отдыхать. Б. Л. Пастернак, из письма к М. И. Цветаевой, 1926 год

2

31 Jul 2026, 13:00 UTC94 views8 reactionsread 9 August 2026

Дедлайны и два типа людей Наткнулась сегодня у основательницы бренда, который очень люблю, на сторис. Пишет: со школы, с университета и до сих пор все делаю в последний момент. Как с этим бороться? Тут мне сразу в голову приходит типология (терпеть не могу, но иногда актуально). Люди делятся на два типа. Первый делает все заранее по графику. И еще пытается заранее сделать то, что в график вообще не входило. Это я.

👍42🔥1😈1

Showing the 12 most recent of 15 posts we hold for @startupcafeshka. 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 — 274,042 of 1,169,250entries 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.

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

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

“СТАРТАПОЧНАЯ” (@startupcafeshka), 132 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/startupcafeshka.

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.