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Channel

Леонид Гельвих: IT и жизнь нового времени

@noosfera_IT

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

980subscribers

-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-1001708975964
TypeChannel
Username@noosfera_IT
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 7 August 2026
On Telegramt.me/noosfera_IT

Growth

980981980.57 Aug 2026, 09:22 — 981 subscribers7 Aug 2026, 09:32 — 981 subscribers7 Aug 2026, 19:44 — 980 subscribers7 Aug 2026, 09:227 Aug 2026, 19:44
3 measurements taken within a single day, 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 980–981 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 19:44980-1
7 Aug 2026, 09:32981no change
7 Aug 2026, 09:22981first reading

Engagement

18 posts held, back to 12 November 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 15 April 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

335 reactions across 18 posts, in 12 distinct kinds. The most used accounts for 39.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
13339.7%
👍4513.4%
custom 54407186104042419863811.3%
🦄308.96%
custom 5467626224031397564257.46%
👨‍💻226.57%
custom 5472128440679295554133.88%
😈133.88%
🔥82.39%
41.19%
👎30.896%
👀10.299%

Custom emoji. 3 of the rows above are 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 18 of the 18 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 335reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 12 November 2025 to 15 April 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

15 Apr 2026, 05:56 UTC739 views27 reactionsread 7 August 2026
File

Сделал полезную презу на базе глубокого исследования - кому полезно поставьте лайк. Буду делиться тем что сам изучаю

14👨‍💻8👍3🦄2

9 Apr 2026, 09:22 UTC972 views20 reactionsread 7 August 2026
Photo

Люблю ноукод (ныне: вайбкод) Вчера я нажал Submit в App Store Connect, и РИДЧИТ - моё первое личное, не заказное и довольно простое iOS-приложение ушло на ревью. Радуюсь что смог найти время на эту штуку тк сам буду ей пользоваться! 4 года назад я выпускал приложение собранное на Adalo - кривое и косое, может кто помнит :) И сколько часов я тогда потратил... А сейчас что: недавно выше в канале я уже выкладывал чита

12👍3👨‍💻2😈2🦄1

25 Mar 2026, 11:09 UTC924 views17 reactionsread 7 August 2026
Photo

зову всех на вершину вайб•кожаных я решил расчехлить свои проекты и делюсь всеми наработками по всему что связано с использованием ИИ агентов в чате, там у нас и новички и продвинутые и даже студенты первой фокус группы. Я уже вкинул несколько полезных личных репо, так что залетайте, спрашивайте, там я в одном чате со всеми, отвечаю как только могу на все вопросы. https://t.me/comunilab_bot?start=utm_source%3Dleo_t

9😈3custom 54407186104042419863👍1👨‍💻1

19 Mar 2026, 05:34 UTC658 views29 reactionsread 7 August 2026
Photo

Мой друг Тимур случайно оказался на питч-ивенте с Оскаром Хартманом и прислал мне это) Немного переборщили с AI стажем конечно на слайде, но все же - мы питчились Оскару с нашим классным мед-ИИ проектом для беременных / планирующих беременность женщин. Сейчас делаем большие ставки именно на мед. сектор так как в ближайшем окружении есть влиятельные и прогрессивные люди + мед. профессионалы + у всех в команде есть

14👍10custom 54407186104042419863👨‍💻1🦄1

6 Mar 2026, 07:10 UTC711 views38 reactionsread 7 August 2026
Video

Давненько я не чувствовал себя мешком! Свой крайний отпуск на Бали я проводил так чтобы вспомнить как сильно тело связано с делом: фридайвинг и первая за долгое время треня по тайскому боксу. Когда я только начинал свой путь предпринимателя я только заканчивал свой путь проф. бойца Муай-тай и ММА. Горел я как боец недолго и не совсем ярко, но сколько качеств это заложило в мой характер и сколько топлива дало для пр

23👍7custom 54407186104042419864😈3👨‍💻1

18 Jan 2026, 08:57 UTC877 views25 reactionsread 7 August 2026
Photo

Много читаю в последнее время. А поскольку последнего (времени) очень мало - собрал себе такую удобную читалку: вставляю главу, выбираю скорость, нажимаю пуск и мозг просто загружает инфу напрямую, раньше на чтение главы уходило 10 минут, сейчас 1-2. Благодаря оптимальному расположению точки распознавания каждого слова, ваши глаза остаются неподвижными, что позволяет вашему мозгу обрабатывать информацию в 3 раза бы

10👍6🦄6👎1👨‍💻1custom 54407186104042419861

6 Jan 2026, 05:39 UTC695 views9 reactionsread 7 August 2026
File

Один челик выложил все глубинные исследования крупных агентств по трендам будущего. Ноутбук лм сделал мне по всему этому выжимку в интересный и действительно познавательный подкаст. Я не поощряю ИИ генерированный контент, но тут годно. тут больше материалов - майнкарта, крутая преза, инфорграфика + можете початиться со всеми документами и задать вопросы которые важны именно вам

custom 544071861040424198663

10 Dec 2025, 08:53 UTC822 views17 reactionsread 7 August 2026
Forwarded from @darifuturePhoto

Смотрю отзывы на приложение🥹 Самое интересное, что мы это сделали за 3 недели+ чистого времени Это вообще невозможно ни для кого кроме нашей команды ввиду нашего опыта и уникальных спецов в команде + наработок и AI помощников Ни одна адекватная студия не взяла бы такой заказ в такой срок, но мы пошли в эксперимент)) Изначально у нас была фигма, которую сделали дети, дети были идейным вдохновителем приложения, зат

12🦄3custom 54676262240313975642

2 Dec 2025, 04:30 UTC758 views20 reactionsread 7 August 2026
Photo

собрал памятку студентам с nano banana pro

custom 546762622403139756493🦄3custom 54407186104042419863👍1custom 54721284406792955541

24 Nov 2025, 08:35 UTC≈1,180 views23 reactionsread 7 August 2026
Photo

По работе нужно было сделать плагин для работы в фигме за 10 минут ровно через ClaudeCode создал плуг который отправляет картинку и вставляет отредактированную через банану прямо в UI фигмы. В Ui плуга видно тип фрейма и его параметры. #вайбкейсы

custom 54407186104042419867custom 547212844067929555473🦄3custom 54676262240313975642👍1

22 Nov 2025, 07:06 UTC706 views18 reactionsread 7 August 2026
Forwarded from @irilarevaVideo

🔺🔺 🔺🔺 🔺🔺 Zhangjiajie memories, 25

10🦄3👍2👨‍💻1custom 54407186104042419861custom 54721284406792955541

22 Nov 2025, 07:06 UTC680 views11 reactionsread 7 August 2026

быстрый видеоотчет с нашего китайского путешествия ща дома уже

👍5👨‍💻3custom 547212844067929555421

Showing the 12 most recent of 18 posts we hold for @noosfera_IT. 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 — 1,218,580 of 1,345,403entries 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 1 registered channel — 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.

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

“Леонид Гельвих: IT и жизнь нового времени” (@noosfera_IT), 980 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/noosfera_IT.

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.