Telegram RegisterThe public register of Telegram

Channel

SEO Python 2 Нейрона

@seo_python_2neuron

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

1,666subscribers

+4 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002073826548
TypeChannel
Username@seo_python_2neuron
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/seo_python_2neuron

Growth

1,6621,6661,6646 August 2026 — 1,662 subscribers6 August 2026 — 1,662 subscribers9 August 2026 — 1,664 subscribers12 August 2026 — 1,666 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net +4. 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 1,661–1,667 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 23:231,666+2
9 Aug 2026, 18:411,664+2
6 Aug 2026, 22:151,662no change
6 Aug 2026, 22:031,662first reading

Engagement

19 posts held, back to 20 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
29.7%
avg views ÷ 1,666 subscribers
Avg views / post
495
1 post measured
Reaction rate
2.22%
reactions ÷ views · ER floor
Posts in window
1
of 19 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 23 July 2026
Posts held19 (20 March 202623 July 2026)
Views total495
Reactions total11
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:51 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
34s
Average length
9s

Measured directly from 4 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

366 reactions across 19 posts, in 27 distinct kinds. The most used accounts for 48.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥17948.9%
👍5414.8%
💯267.10%
👏246.56%
184.92%
🥴164.37%
🤔82.19%
🤪71.91%
😐51.37%
🤓30.82%
🤨30.82%
🥱30.82%
🫡30.82%
😭20.546%
🤷20.546%
🥰20.546%
10.273%
🆒10.273%
🎉10.273%
👀10.273%
7 further kinds71.91%

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 19 of the 19 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 366reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 20 March 2026 to 23 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

23 Jul 2026, 06:51 UTC495 views11 reactionsread 7 August 2026
Photo

Еду на БДД! 7 – 8 августа еду в Калининград на свою любимую конференцию Baltic Digital Days. Буду выступать с докладом в секции "Слово имею", на тему AI First переход. Это была официальная информация, а теперь неофициально. Если вы там ни разу не были, вы реально потеряли полжизни, я там буду уже наверное раз в пятый и дай бог ещё раз пять съезжу! Категорически рекомендую - https://balticdigitaldays.ru/

🔥10👍1

14 Jul 2026, 07:15 UTC745 views33 reactionsread 7 August 2026

По верхам, по верхам, желтый Клодик пишет вам Пластмассовый мир победил. Ездим на пластмассовых одноразовых тачках, обедаем в пластмассовом фастфуде, общаемся пластмассовыми фразами: «Добрый день коллеги!» Пластмассовая хиррургия и косметология, подчеркиваю именно пластмассовая, а не пластиковая сделала всех на одно лицо. Единственное место, единственная цитадель, в которой мы еще как-то были наедине с собой – ваши

🔥27🥴3👍2🥰1

19 Jun 2026, 09:02 UTC≈1,130 views4 reactionsread 7 August 2026
Video

Спорим, что ты используешь нейросети так же, как и свой мозг всего на 10%? И это не британские ученые доказали, это говорю я Влад Папернюк! Совсем недавно мы в нашем агентстве так же, как и ты использовали нейросети как инструмент, например, как screaming frog. Нужна выгрузка – попросили chat gpt, нужен отчет – опять ручками лезем в автоматизацию. Да, это намного быстрее чем раньше, но это все равно лишь 10% от воз

🔥31

19 Jun 2026, 07:49 UTC≈1,120 views10 reactionsread 7 August 2026
Video message

Video message, posted without a caption

🔥6🥴2🙏1🆒1

18 Jun 2026, 08:47 UTC≈1,140 views16 reactionsread 7 August 2026
Photo

Что по деньгам? Привожу цифры реальных расходов на нейросети в нашем агентстве. Итак Cursor - юзаем для написания статей модель Claude Sonnet 4.6 и Composer => уложились в 60$ при этом Курсор показывает расход 121,35$? Прикольно но непонятно, откуда этот аукцион щедрости Kimi - юзаем в хвост и в гриву как агента, генерим картинки, в итоге хватило 40$ месяц, израсходовали 78% лимитов Claude Code - юзаю на своём М

🔥8🥴7🖕1

11 Jun 2026, 06:24 UTC≈1,120 views6 reactionsread 7 August 2026

Трансляция на YouTube: https://www.youtube.com/watch?v=ujTHsKJkGG4

🔥6

11 Jun 2026, 06:24 UTC988 views4 reactionsread 7 August 2026
Photo

Вайбкодинг - Панацея или нас в очередной раз бреют как хомячков? Разберем на эфире у Михаила Шакина сегодня. Приходи, не будь хомячком 😉

🫡3😐1

4 Jun 2026, 07:15 UTC≈1,440 views21 reactionsread 7 August 2026
Photo

Все делают это... На прошлой неделе выступал на конференции SEO Минск. Первая половина докладов была про GEO AEO продвижения, вторая половина про то, как кто-то лихо внедрил автоматизацию на ИИ. Автоматизации – это круто, но! Большая часть SEOшников по-прежнему относится к ИИ как к инструменту. Если вы используете ИИ, например, как screaming frog, то вы продолжаете действовать в рамках старой парадигмы. Приведу м

🔥12😐4😭2🎉1👌1🤔1

25 May 2026, 10:27 UTC≈1,220 views34 reactionsread 7 August 2026
Video

Хроники Риддика ИИ перехода – Сага о том как у нас получилось! Ура! У нас получилось! Теперь я могу сказать это с полной степениью уверенности. То что я задекларировал в марте месяце успешно внедрено работает и развивается. Как у нас выстроена система? 1. Есть выделенный сервер к которому есть несколько уровней доступа. 2. На серваке развёрнут python, скилы и агентные среды. Сначала это был Claude code, но после

👏17🔥132💯2

21 May 2026, 10:30 UTC≈1,360 views28 reactionsread 7 August 2026
Video

Китайцы победили Claude? Мы перешли всей командой на Kimi Code. Две недели работы - полет нормальный! Что такое Kimi Code? Это, по сути, полный аналог Claude Code от китайцев. Есть интерфейс командной строки CLI, есть плагин для IDE Vs Code. Ставится точно так же, запускается точно так же. Если у вас настроен сервак под Клод. Переезд будет максимально бесшовным. Читает и понимает файлы Claude.md Из плюсов: - Работ

🔥15👍5👏5🤔21

18 May 2026, 07:21 UTC≈1,190 views24 reactionsread 7 August 2026

Итог по деньгам: - Hy3 Preview — $0.07 input / $0.26 output за 1M токенов - Kimi K2 Thinking — $0.60 input / $2.50 output за 1M токенов - Claude Sonnet 4.6 — $3.00 input / $15.00 output за 1M токенов - Claude Opus 4.6 — $5.00 input / $25.00 output за 1M токенов Claude Opus дороже Hy3 в 71 раз по input и в 96 раз по output. Если грамотно распределить задачи по стеку — реальная экономия 60–80% бюджета на AI без потер

🔥21🤓3

18 May 2026, 07:21 UTC≈1,110 views11 reactionsread 7 August 2026
Video

Pontificating Discombobulating Booping Frolicking 给我饭,给我猫,给我老婆 У вас бывало такое? Влюбляешься в девушку мечты, добиваешься, а она ноль внимания, держит во френдзоне и хоть ты тресни. И вот в один момент ты случайно знакомишься с её подружкой соседкой иии, ну вы поняли) У меня с Claude примерно та же история. Полный спектр эмоций от любви с первого взгляда до ненависти и желания послать куда подальше. Типичные абь

👍82🥰1

Showing the 12 most recent of 19 posts we hold for @seo_python_2neuron. 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 — 532,966 of 1,336,469entries 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.

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 3 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.

“SEO Python 2 Нейрона” (@seo_python_2neuron), 1,666 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/seo_python_2neuron.

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.