Telegram RegisterThe public register of Telegram
Telegram profile photo for TransNet

Channel

TransNet

@TransNetSoft

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

185subscribers

+1 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-1001697270454
TypeChannel
Username@TransNetSoft
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live16 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/TransNetSoft

Growth

184185184.57 August 2026 — 184 subscribers8 August 2026 — 184 subscribers16 August 2026 — 185 subscribers7 August 202616 August 2026
3 measurements spanning 8 days, net +1. 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 184–185 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 07:03185+1
8 Aug 2026, 12:31184no change
7 Aug 2026, 23:57184first reading

Engagement

13 posts held, back to 20 October 2025the 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
45.9%
avg views ÷ 185 subscribers
Avg views / post
85.0
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 13 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 21 July 2026
Posts held13 (20 October 202521 July 2026)
Views total85
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 12:31 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

Video runtime
36s
Average length
36s

Measured directly from 1 video 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

64 reactions across 10 posts, in 7 distinct kinds. The most used accounts for 39.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2539.1%
👍1117.2%
🔥1117.2%
👏914.1%
🍾57.81%
🎉23.13%
💯11.56%

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 10 of the 13 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 64reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 20 October 2025 to 21 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.

Recent posts

21 Jul 2026, 09:02 UTC85 viewsread 8 August 2026
Photo

TransNet сегодня: ценности и его функциональные возможности 💎TransNet — программа, предназначенная для прогноза автомобильных и пассажирских потоков в транспортных сетях на основе математического моделирования. Это первое в Российской Федерации полнофункциональное приложение для моделирования транспортного спроса, отвечающее современным международным стандартам (первая версия приложения вышла в 1999). Является пол

11 Jul 2026, 11:54 UTC122 views4 reactionsread 8 August 2026
Photo

⭕️ С Днём московского транспорта! 🎉11 и 12 июля Москва отмечает праздник, посвящённый одной из самых современных транспортных систем мира. Поздравляем всех, кто ежедневно делает город мобильнее, комфортнее и безопаснее! 🚆 Сегодня Московские центральные диаметры (МЦД) объединяют десятки районов столицы и Подмосковья в единую транспортную систему, значительно сокращая время поездок для миллионов пассажиров. Команда

3👏1

1 Jul 2026, 09:54 UTC151 views15 reactionsread 8 August 2026
Photo

🌊 Иногда рабочее место — это офис. А иногда — берег океана за тысячи километров. Работа в «ТрансНет» — это не только моделирование, но и путешествия туда, где рождаются новые проекты.

9👏5💯1

12 Jun 2026, 09:02 UTC191 views6 reactionsread 8 August 2026
Photo

🇷🇺 Сегодня мы отмечаем праздник нашей страны — сильной, современной и устремлённой в будущее. Надёжная связь, технологии и новые возможности помогают объединять людей и открывать путь для развития. Желаем успехов, уверенности в завтрашнем дне, благополучия и новых достижений!

6

25 May 2026, 10:45 UTC214 views9 reactionsread 8 August 2026
Forwarded from @compass_itsPhoto

🚴‍♂️ ГК «Компас», «Аркона» и «Транснет» — вместе к новым победам! 🎖 В эти выходные наша объединённая команда приняла участие в весеннем Московском велофестивале 2026! 🔘 Московский велофестиваль — это масштабный городской праздник спорта, активного образа жизни и велосипедной культуры, который ежегодно объединяет тысячи участников. 💪 Наши сотрудники продемонстрировали отличную физическую подготовку, заряд энергии и

🔥52👏2

1 May 2026, 10:04 UTC237 views3 reactionsread 8 August 2026
Photo

Photo, posted without a caption

🎉2🔥1

Showing the 12 most recent of 13 posts we hold for @TransNetSoft. 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.

Forward network

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

“TransNet” (@TransNetSoft), 185 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/TransNetSoft.

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.