Channel
@neuro2seo
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
407subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002484444769 |
|---|---|
| Type | Channel |
| Username | @neuro2seo |
| Created | 15 March 2025 — measured — dated from the channel’s first post |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/neuro2seo |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 19:33 | 407 | no change |
| 6 Aug 2026, 03:38 | 407 | first reading |
12 posts held, back to 15 March 2025 — the 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 12 posts for this entry, the most recent from 7 July 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 6 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
53 reactions across 9 posts, in 8 distinct kinds. The most used accounts for 52.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 28 | 52.8% | |
| 🔥 | 18 | 34.0% | |
| 🫡 | 2 | 3.77% | |
| ❤ | 1 | 1.89% | |
| 👌 | 1 | 1.89% | |
| 💯 | 1 | 1.89% | |
| 😢 | 1 | 1.89% | |
| 🤯 | 1 | 1.89% |
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 9 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 53reactions 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 15 March 2025 to 7 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.
WDN Test 4 Отметим 5к подписчиков новым тестом. Прошлый раз 276 человек прошли серию тестов до конца, многим понравилось. Многие просили продолжение. Ведь так приятно отвлечься от работы работой за которую не платят: https://wdn.team/test4 В этот раз меньше про техничку, больше про актуальный скилл в современной геймбл сеошке. Сложность средняя. Агентские Если не решили за 30 минут - задумайтесь, тем ли вы занимае…
Флинт запостил игрушку очень похожую на нашу из внутренних разработок. Запомнив что вам очень нравятся такие «конкурсы», я игрался с вайбкодингом и сделал аналог жизни сеошника. Не постил ее долго. Что ж, теперь у коммьюнити есть целых две игрушки в таком стиле. https://game.wdn.team/ 1. У вас есть 120 ходов чтобы не просто встать в топ, а заработать больше всего денег. 2. У вас есть бюджет, есть возможность получ…
🔥3👌1💯1
Результаты второго задания! - 96 ответов по форме - 89 ответов верных (92%) Начинаем третий этап: Найдите секретный код здесь https://wdn.team/test3 Присылайте свои ответы здесь https://forms.gle/egUmpBbjNFtUrFUf9 p.s По сравнению с первыми двумя этот тест уровня Hard. Ожидаю на третем этапе <10% верных ответов. Good luck!
Результаты первого задания! - 120 ответов по форме - 79 ответов верных (65%) Начинаем второй этап: Найдите секретный код здесь https://wdn.team/2test Присылайте свои ответы здесь https://forms.gle/wx2w9N96HU1MbQLc8 p.s Секретный код всегда явно отмечается как SECRET-CODE
👍1
Объявляю конкурс для сеошников! Первое задание в будет найти SECRET-CODE на https://wdn.team/test Присылайте свои ответы здесь https://forms.gle/W1C7gHUjhU76hwFH6
🫡2❤1
Выгрузка всех офферов крупных сеток: advertise.net, clickbank.com, cj.com, admitad.com (old 2022) Используйте aistudio.google.com Gemini 2.5 PRO, грузите файл поочередно и обсуждайте с ним какая ниша имеет интересный EPC, низкую сложность и конкуренцию или может дополнить вашу текущую монетизацию. SEO Insight
👍6
Источник: файлы выгрузок из пп advertise, clickbank, cj, admitad Модель для обработки: Gemini 2.5 Pro Основная часть промпта для обработки: "Эти офферы - это выгрузки из партнёрских сетей. Твоя цель — составить список офферов, подходящих для дополнительной монетизации трафика, идущего на аффилейт iGaming сайт обозревающий онлайн казино и слоты." Основная часть промпта для обработки: "Изучи какие ниши самые вкусные…
👍7
Источник: все посты канала TorZireael1 Количество обработанного текста: более 350к символов Модель для обработки: Gemini 2.5 Pro Основная часть промпта для обработки: "Изучи все материалы автора и ответь на вопрос Как максимально анонимно обналичить крипту?" SEO Insight https://telegra.ph/Kak-maksimalno-anonimno-obnalichit-gryaznuyu-kriptu-09-06
👍9🔥1
Источник: все последние посты канала noindex, nofollow Количество обработанного текста: более 400к символов Модель для обработки: gpt o1 pro Основная часть промпта для обработки: "Какие важные изменения алгоритмов (core updates, спам-апдейты) наиболее влияют на ранжирование? • Какие функции поисковой выдачи можно использовать для быстрого роста, не вкладывая много средств? • Как можно безопасно усиливать поведенче…
👍5
Источник: закрытый гембл чат Количество обработанных сообщений: более 50 000 Модель для обработки: gpt o1 pro Основная часть промпта для обработки: "как работать с контентом и ссылочным в современных реалиях гугла" «…сео — оно рандом, но без работы ничего не выйдет…» SEO Insight https://telegra.ph/Rabota-s-kontentom-i-ssylochnym-vygruzka-vyvodov-s-chata-03-16
🔥9🤯1
Источник: закрытый дорвейный чат Количество обработанных сообщений: более 50 000 Модель для обработки: gpt o1 pro Основная часть промпта для обработки: "как Google в нынешних реалиях обрабатывает дропы, какие основные проблемы или преимущества бывают у дроп-доменов и что с ними делать" SEO Insight https://telegra.ph/Rabota-s-dropami-vygruzka-vyvodov-s-chata-03-16
🔥5😢1
Channel created
Showing the 12 most recent of 12 posts we hold for @neuro2seo. 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 — 471,270 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.
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.
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.
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.
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 6 August 2026 — this entry's latest reading, not the date you are reading this.
“SEO insight” (@neuro2seo), 407 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/neuro2seo.
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.