Telegram RegisterThe public register of Telegram

Channel

ChatGPT, AI, Python для SEO - автоматизация

@python_seo

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

468subscribers

+13 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-1002123492495
TypeChannel
Username@python_seo
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 live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/python_seo

Growth

455468461.56 August 2026 — 455 subscribers6 August 2026 — 455 subscribers6 August 2026 — 456 subscribers13 August 2026 — 468 subscribers6 August 202613 August 2026
4 measurements spanning 6 days, net +13. 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 453–470 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 04:26468+12
6 Aug 2026, 23:13456+1
6 Aug 2026, 19:15455no change
6 Aug 2026, 17:18455first reading

Engagement

10 posts held, back to 18 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
131.0%
avg views ÷ 468 subscribers
Avg views / post
613
1 post measured
Reaction rate
1.14%
reactions ÷ views · ER floor
Posts in window
1
of 10 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 30 July 2026
Posts held10 (18 March 202630 July 2026)
Views total613
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 19:15 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

85 reactions across 10 posts, in 8 distinct kinds. The most used accounts for 43.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3743.5%
2327.1%
🔥1416.5%
😁67.06%
🤡22.35%
👌11.18%
🙈11.18%
🤝11.18%

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 10 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 85reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 18 March 2026 to 30 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

30 Jul 2026, 05:23 UTC613 views7 reactionsread 6 August 2026
Photo

TripleTree · менеджер семантики Однофайловый браузерный сервис управления семантическим ядром. Не требует установки и сервера: один HTML-файл, данные хранятся локально в браузере (автосохранение сессии), AI-функции работают через API Anthropic по собственному ключу пользователя. Автор скрипта. Данные и импорт • Импорт семантического ядра из XLSX (запрос, показы, WS, Score, роль, структура папок из колонки пути). •

7

29 Jun 2026, 10:20 UTC393 views15 reactionsread 6 August 2026
Photo

🚀 Автоматизируем SEO-аудит: Интерактивный дашборд на Python + Screaming Frog CLI! Это демо для тех кто не знал что Screaming Frog можно запускать в фоновом режиме и получать результаты в своей панельке. 🎯 Главные фичи и функционал: Headless-краулинг в один клик: Дашборд автоматически находит Screaming Frog на вашем компьютере и запускает сканирование в фоновом режиме. Вы видите прогресс-бар прямо в браузере. 📋 И

👍10🔥3🤝1🙈1

22 Jun 2026, 06:57 UTC394 views6 reactionsread 6 August 2026
Photo

📈 Nginx Log Analyzer Ultimate: Интерактивный анализ логов, геолокация и детекция ботов на PHP Браузерный анализатор логов access.log получил обновление. 🚀 Главные нововведения Ultimate-версии: 🌍 Автоматическая геолокация и флаги стран Теперь флаги государств отображаются прямо в таблице IP-адресов и во всех детальных срезах. При просмотре карточки IP-адреса вы мгновенно получаете информацию о стране, диапазоне с

👍5👌1

9 Jun 2026, 14:12 UTC671 views13 reactionsread 6 August 2026
Photo

🔘 Бесплатный DR через API Ahrefs? Отличные новости для SEO-специалистов и разработчиков! У Ahrefs есть публичный API, который позволяет запрашивать рейтинг домена (DR) абсолютно бесплатно. Главный плюс - для этого вам даже не потребуется регистрировать API-ключ. Достаточно отправить простой GET-запрос и указать нужный сайт в параметре target. Подробная документация доступна по ссылке: Пример: import requests url

👍9🔥2🤡2

20 May 2026, 06:20 UTC≈1,360 views4 reactionsread 6 August 2026
Photo

🖥 Log Analyzer Pro — это полнофункциональный анализатор логов на Python, сочетающий простоту Streamlit и мощность SQLite. Основные возможности: ℹ️ Работа с Big Data: уверенная обработка больших логов (тестировался 3 ГБ+) с использованием WAL-режима для ускорения записи. Если у вас небольшие по размеру логи лучше юзать этот. ℹ️ Продвинутая фильтрация: встроенный конструктор условий для точечного поиска данных (му

👍4

28 Apr 2026, 15:41 UTC499 views9 reactionsread 6 August 2026

✔️ Делитесь своими наработками: открываем приём скриптов для автоматизации! Друзья, наш канал становится площадкой для обмена инструментами. С этого момента вы можете публиковать свои исходники скриптов и сервисов прямо здесь! Мы верим, что открытый код и готовые решения — это кратчайший путь к эффективному SEO. 🛠 Что мы ждем? Мы принимаем ваши скрипты на Python, PHP, JS html загруженные на Гитхаб. Основной фокус

🔥6😁3

21 Apr 2026, 11:42 UTC468 views7 reactionsread 6 August 2026
Forwarded from @seregaseoPhoto

Доработка интерфейса Яндекс Вордстат Ещё один скрипт для агентского сеошника — теперь ему будет чуть быстрее оправдываться за снижение трафика — На графики динамики спроса добавлены точки с подписями значений — Автоматически считается динамика к АППГ — Автоматически считается динамика к прошлому месяцу Скачать можно тут: https://github.com/sc00d/yandex-wordstat-labels *** Канал Strong SEO #полезный_софт_и_сервис

7

9 Apr 2026, 06:19 UTC≈1,510 views9 reactionsread 6 August 2026

💯 Бесплатный Python-сервер с 16 гигами оперативки? Хостинг для ML-проектов и Python-скриптов прямо в облаке. ✅Бесплатно, без карты. 🛠 Как запустить: 1️⃣ Создаем репозиторий: Переходим на huggingface.co/new-space. 🔹Space name: название проекта. 🔹SDK: Выбираем Gradio для Python. 🔹Hardware: Оставляем CPU basic (бесплатно). 2️⃣ Загружаем код: Всё делается в браузере. Идем во вкладку Files and versions ➔ Add file

6🔥3

24 Mar 2026, 08:01 UTC497 views11 reactionsread 6 August 2026
Forwarded from @seobloggersPhoto

📊 Nginx Log Analyzer: Твой личный дашборд из access.log Этот скрипт превращает сырые текстовые логи в интерактивные графики и таблицы прямо в браузере. Без серверов, без передачи данных в сеть — 100% приватно. 🚀 Что умеет скрипт: Анализ трафика: общее число хитов, уникальные IP и объем скачанных данных. Карта ошибок: мгновенный счетчик 404, 500 и других кодов ответа. Интерактивные фильтры: кликни на любой час на

👍9😁2

18 Mar 2026, 09:04 UTC≈1,510 views4 reactionsread 6 August 2026
Photo

Google Phrases Extractor: Устали вручную копировать фразы из блоков «Другие также ищут» в Google? Что умеет скрипт? Мгновенный сбор: Добавляет яркую фиолетовую кнопку рядом с блоками похожих запросов и сопутствующих товаров и позволяет скопировать список в буфер обмена. Мультиязычность: Полная поддержка UA, RU и EN интерфейсов Google. Язык интерфейса зависит от выбранного в Google Chrome по умолчанию. Почему э

3😁1

Showing the 10 most recent of 10 posts we hold for @python_seo. 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 — 488,835 of 1,176,251entries 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“ChatGPT, AI, Python для SEO - автоматизация” (@python_seo), 468 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/python_seo.

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.