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Channel

Офис студенческого предпринимательства МФТИ

@phystech_accelerators

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

4,824subscribers

+2 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001510351210
TypeChannel
Username@phystech_accelerators
Created3 October 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/phystech_accelerators

Growth

4,8184,8244,8216 August 2026 — 4,822 subscribers6 August 2026 — 4,820 subscribers9 August 2026 — 4,818 subscribers12 August 2026 — 4,824 subscribers6 August 202612 August 2026
4 measurements spanning 6 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 4,817–4,825 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 23:124,824+6
9 Aug 2026, 17:524,818-2
6 Aug 2026, 20:424,820-2
6 Aug 2026, 15:174,822first reading

Engagement

12 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 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
16.4%
avg views ÷ 4,824 subscribers
Avg views / post
793
12 posts measured
Reaction rate
1.67%
reactions ÷ views · ER floor
Posts in window
12
of 12 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 11 August 2026
Posts held12 (27 July 202611 August 2026)
Views total9,512
Reactions total159
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 05:17 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

159 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 43.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥6943.4%
👍4830.2%
❤‍🔥2616.4%
😍63.77%
🦄63.77%
🏆42.52%

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 12 of the 12 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 159reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 27 July 2026 to 11 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

11 Aug 2026, 12:34 UTC491 views9 reactionsread 12 August 2026
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Стажировка от ПИК ⚡️ #партнерский За каждым проектом ПИК стоят технологии и IT-команды, которые превращают идеи в цифровые продукты. Увидеть эту работу изнутри можно уже сейчас 🔥 ПИК открывает оплачиваемые стажировки для тех, кто готов перейти от учебных кейсов к задачам, которыми действительно пользуется большой бизнес 🏗 Что ждёт участников? 🟢 гибкий график, который можно совмещать с учёбой 🟢 рабочие задачи с пер

👍5❤‍🔥2🔥2

10 Aug 2026, 17:03 UTC756 views13 reactionsread 12 August 2026
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Онлайн-практикум по вайбкодингу «Не верь ИИ. Управляй им» 🌎 #партнерский Онлайн-практикум для владельцев продуктов и тех, кто создает проекты с помощью ИИ. Участники разберутся, как использовать вайбкодинг для работы над собственными продуктами – от идеи до прототипа 🔝 💬 Спикер – Антон Пчелинцев, эксперт в области инноваций, технологий и управления проектами. Что ждет участников? 🟢 практика по применению вайбкодин

🦄6👍4🔥3

8 Aug 2026, 11:49 UTC662 views9 reactionsread 12 August 2026
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Как ИИ помогает заботиться о коровах? 🐄 Продолжаем знакомиться с финалистами «Физтех.Идеи» и узнавать, что стоит за проектами и их командами 💭 Команда Anizo рассказала, как их проект помогает быстрее находить животных, которым нужна помощь и как бы они распределили роли в супергеройской команде 🔥 Собрали ответы команды в карточках 👆

🔥6❤‍🔥2👍1

6 Aug 2026, 16:02 UTC796 views13 reactionsread 12 August 2026

Posted without readable text

🔥6👍5❤‍🔥2

6 Aug 2026, 13:15 UTC796 views13 reactionsread 12 August 2026
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Круглый стол выпускников кафедры технологического предпринимательства МФТИ 💬 Кафедра ТехПреда МФТИ проведет круглый стол выпускников. Участники обсудят, зачем опытные специалисты снова идут учиться, какие ожидания оправдались и кому действительно стоит поступать в магистратуру ⚡️ Что ждет участников? 🟢 открытая дискуссия с выпускниками разных лет 🟢 честный разговор об опыте обучения в магистратуре 🟢 обсуждение те

🔥7❤‍🔥5👍1

4 Aug 2026, 15:03 UTC751 views18 reactionsread 12 August 2026
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Не каждая сильная гипотеза оказывается верной 💡 Продолжаем знакомиться с финалистами «Физтех.Идеи» и узнавать, что стоит за проектами и их командами 💭 Команда LabTeX-AI рассказала, какую проблему решает их проект, чему их научили глубинные интервью и почему хороший отдых для них – часть разработки продукта. Ответы – в карточках 👆

❤‍🔥8🔥6👍3😍1

3 Aug 2026, 11:49 UTC917 views11 reactionsread 12 August 2026
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3 вопроса, которые должен задать себе каждый фаундер ❓ Что происходит с клиентом? Что он чувствует? Что он хочет получить? Ответы на них помогают создавать продукты, которые действительно находят отклик. Главное – не перепутать их значение 🥸 В жизни это всё выясняется на интервью с клиентами, и каждый ответит по-своему. В карточках разбираем разницу между проблемой, болью и потребностью на примере студента, которо

👍6🔥4❤‍🔥1

31 Jul 2026, 17:28 UTC965 views15 reactionsread 9 August 2026
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А что, если стоматолог сможет видеть больше? 👀 Какие они, стартаперы вне питча? Поговорили с финалистами «Физтех.Идеи» не только о проекте 💭 На этот раз поговорили с командой X-RayDent о том, как появилась идея проекта и какую суперспособность они хотели бы подарить стоматологам. Собрали ответы в карточках 👆

👍8🔥5❤‍🔥2

31 Jul 2026, 14:10 UTC913 views13 reactionsread 8 August 2026
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Мастерская технологических инноваций 🚀 Бизнес-школа МФТИ совместно со Сбером открыла прием заявок в «Мастерскую технологических инноваций». Программа поможет студентам превратить технологическую разработку в решение, готовое к внедрению в крупной компании. Для кого программа? 🟢 студентов МФТИ с прототипом, MVP или готовым технологическим решением в направлениях HealthTech & Wellness, EduTech & HRTech, DeepTech 🟢 уч

🔥7🏆4👍2

30 Jul 2026, 06:47 UTC867 views9 reactionsread 8 August 2026
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Встреча цикла «Беседы в МФТИ» 💬 В рамках цикла «Беседы в МФТИ» пройдет встреча с Владимиром Саковичем – заведующим кафедрой технологического предпринимательства МФТИ и генеральным директором SK Capital 🔥 На онлайн встрече поговорим о будущем – каким навыкам стоит учиться, чтобы быть готовым к вызовам нового времени в технологиях, бизнесе и управлении. Что ждет участников? 🟢 открытая беседа с Владимиром Саковичем 🟢

🔥6❤‍🔥2👍1

27 Jul 2026, 14:01 UTC970 views13 reactionsread 6 August 2026

Posted without readable text

👍6🔥5❤‍🔥2

Showing the 12 most recent of 12 posts we hold for @phystech_accelerators. 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 — 20,052 of 1,160,990entries 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 9 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.

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

“Офис студенческого предпринимательства МФТИ” (@phystech_accelerators), 4,824 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/phystech_accelerators.

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.