Telegram RegisterThe public register of Telegram

Channel

Павел Королев | IT Ланч

@it_lunch

On this record: Growth · Engagement · Reactions · Stars · Posts · Polls · Citations · Handles named that no longer answer · Cite this entry

660subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003032530825
TypeChannel
Username@it_lunch
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/it_lunch

Growth

660661660.56 August 2026 — 660 subscribers6 August 2026 — 660 subscribers7 August 2026 — 661 subscribers13 August 2026 — 660 subscribers6 August 202613 August 2026
4 measurements spanning 7 days. 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 660–661 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 08:06660-1
7 Aug 2026, 03:56661+1
6 Aug 2026, 17:18660no change
6 Aug 2026, 08:47660first reading

Engagement

12 posts held, back to 25 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
33.9%
avg views ÷ 660 subscribers
Avg views / post
224
12 posts measured
Reaction rate
6.56%
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. It is computed over the 10 of 12 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 5 August 2026
Posts held12 (25 July 20265 August 2026)
Views total2,688
Reactions total145
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 17:18 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

145 reactions across 10 posts, in 10 distinct kinds. The most used accounts for 41.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥6041.4%
👍3322.8%
❤‍🔥1711.7%
🎉74.83%
64.14%
👏64.14%
🥰64.14%
👀42.76%
👌32.07%
🤝32.07%

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 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 145reactions 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 25 July 2026 to 5 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
5
across the posts below
Posts paid on
4
of 12 we hold a reading for · 33%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @it_lunch. 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 12 most recent posts we hold for this entry, published 25 July 2026 to 5 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

5 Aug 2026, 09:26 UTC186 views22 reactionsread 6 August 2026
Video

❤️‍🔥 «Мы пытаемся доказать свою правоту» Полное интервью: https://www.youtube.com/watch?v=bPkYrJ-1-YU В день я смотрю/слушаю по 1-2 видео/лекции по AI + читаю "Грокаем алгоритмы искусственного интеллекта". Это один из ютуб-каналов который, на мой взгляд, генерирует полезный контент по ai и хорошо расширяет кругозор. ❓А что смотрите/читаете вы?👇 #ai@it_lunch 🔥 Подписывайся на IT Ланч!

🔥8❤‍🔥5👀4👍2🤝2👏1

3 Aug 2026, 11:34 UTC210 views16 reactionsread 6 August 2026

🧐 Новые доклады в голосовании Отмечу своего коллегу, который тоже выступал на митапах в Питере! 🟣Андрей Соколов Интеграции как система: модульная архитектура обменов в 1С https://infostart.ru/event/tech2026/agenda/2753548/ ❓Какие доклады не про ИИ ждете? 👇 #event@it_lunch 🔥 Подписывайся на IT Ланч!

👍7🔥5👌3🤝1

3 Aug 2026, 08:55 UTC156 views14 reactionsread 6 August 2026
Forwarded from @IngvarConsultingPhoto

Завели отдельный чат в телеграм по вопросам работы unica ✈️@unica_ai Общая информация: 🏷https://ingvar.pro/products/unica 🔗https://github.com/IngvarConsulting/unica

🔥54🥰4👍1

31 Jul 2026, 15:27 UTC243 views12 reactions1 Starread 6 August 2026
Forwarded from @OnEventsPhoto

👉 Кунг-фу митап: ИИ в 1С-разработке 📅 Когда: 11 сентября 2026 📌 Где: Санкт-Петербург, ул. Цветочная ул. , д. 23 ⚡️ Что тебя ждёт: Кунг-фу митап: ИИ в 1С-разработке (теория и практика). Обсудим инструменты и подходы для разработки через ИИ в 1С. 🔗 Регистрация #Питер

🔥6❤‍🔥3👍2🥰1

30 Jul 2026, 13:28 UTC272 views20 reactionsread 6 August 2026
Photo

🧐 Хочу поддержать доклады! Всем привет! Как и обещал, отдельно хочу рассказать про доклады, которые поддерживаю на голосовании. Честно говоря, «плюсиков» я уже поставил довольно много — штук 20–30. Кого-то знаю лично, с кем-то пересекались в чатах и обсуждениях. Но если бы я опубликовал весь список целиком, то, кажется, я бы сам свайпнул его влево :) Поэтому отдельно хочу отметить ребят, которые поддерживали мероп

🔥8❤‍🔥5👍51🥰1

29 Jul 2026, 12:15 UTC258 views20 reactions1 Starread 6 August 2026
Photo

🧐 Открыто голосование на Инфостарт! Всем привет! Сегодня стартовал первый тур голосования за доклады технической конференции Инфостарт. Я подал тему про подход к разработке скиллов для AI на примере 1С:Элемент. Хочу поделиться опытом: как вообще разрабатывать скиллы, какие ошибки я успел совершить и какие практики оказались действительно полезными. Доклад будет интересен всем, кто видит потенциал в AI-разработке и

👍10🔥6🎉4

28 Jul 2026, 08:23 UTC234 views7 reactionsread 6 August 2026
Forwarded from @OpenYellowProject

🔥 Новый релиз! 🏰 Репозиторий: korolevpavel/xbsl-ai-skills 🔢 Версия: v9.2.1.2 📅 Дата релиза: 28 июля 2026 г. AI сводка Проект xbsl-ai-skills — это набор скиллов для работы с 1С:Элемент, позволяющий AI-агентам (например, Claude Code) автоматизировать задачи по конфигурированию и деплою. В релизе v9.2.1.2 добавлена компактная XBSL-спецификация для нейросетей, уточнено требование Python 3.10+, введены контрактные тесты

🔥4👍3

27 Jul 2026, 15:47 UTC228 views11 reactionsread 6 August 2026
Forwarded from @IngvarConsulting

Вышла Unica 0.11.0 — крупное обновление надёжности инструментов для работы с проектами 1С. В релиз вошло 26 pull request. 🧭 AI-агенты лучше понимают инструменты Все поля публичной MCP-схемы теперь получили содержательные описания. Модель видит различия между базой, подключением, режимом dry run и другими аргументами прямо при выборе инструмента — меньше догадок и ошибочных вызовов. 🛠 Безопаснее изменяем исходники

🔥6❤‍🔥4👍1

26 Jul 2026, 13:59 UTC220 views15 reactions2 Starsread 6 August 2026
Forwarded from @kungfu_confPhoto

🐼 Фотографии с КУНГ-ФУ Митапа в Питере готовы! 16 июля провели митап в Питере, видео готовим к публикации, а фото можете посмотреть уже сейчас! 🐼 Красивые и умные вы: ВКонтакте | Я.Диск Ищите себя, забирайте фотографии, делитесь впечатлениями и отмечайте КУНГ-ФУ в своих постах! КУНГ-ФУ: Канал / Чат 👍

🔥9🎉3👏3

25 Jul 2026, 12:30 UTC225 viewsread 6 August 2026
Forwarded from @radio_ingvarPoll

Стоит ли для Unica делать официальную поддержку Claude Code?

  1. Да52%
  2. Нет8%
  3. Я банан40%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

25 Jul 2026, 12:30 UTC254 viewsread 6 August 2026
Forwarded from @radio_ingvarPoll

Я чаще использую

  1. Codex19%
  2. Cloude25%
  3. Cursor24%
  4. Что-то другое10%
  5. Я банан21%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

25 Jul 2026, 06:06 UTC202 views8 reactions1 Starread 6 August 2026
Forwarded from @IngvarConsulting

Unica 0.9.1: безопаснее меняем код, формы и метаданные 1С Выпустили Unica 0.9.1 — крупное обновление, в которое вошли 32 pull request. Главная тема релиза — безопасное изменение существующего проекта 1С. Unica теперь строже проверяет исходное состояние файлов, структуру BSL и XML, блокирует конфликтующие операции и не публикует сомнительный результат. 🛠 Точечное изменение BSL Новый инструмент unica.code.patch поз

🔥3👍2👏21

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

Polls

The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

25 Jul 2026, 12:30 UTCAnonymous Poll301 voters

Стоит ли для Unica делать официальную поддержку Claude Code?

  1. Да52%
  2. Нет8%
  3. Я банан40%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

25 Jul 2026, 12:30 UTCAnonymous Poll470 voters

Я чаще использую

  1. Codex19%
  2. Cloude25%
  3. Cursor24%
  4. Что-то другое10%
  5. Я банан21%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 12 most recent posts we hold, published 25 July 2026 to 5 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 161,771 of 1,189,255entries 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 7 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Павел Королев | IT Ланч” (@it_lunch), 660 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/it_lunch.

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.