Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 29 September 2026 and assigned it the closest of 31 fixed categories, at 90% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
3 measurements spanning 46 days, 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 51–52 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
28 Sept 2026, 19:59
51
-1
14 Aug 2026, 19:48
52
no change
13 Aug 2026, 12:33
52
first reading
Engagement
8 posts held, back to 22 June 2026 — 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 page of 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 8 posts for this entry, the most recent from 26 July 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
161 reactions across 7 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
161
100.0%
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 7 of the 8 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 161 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 22 June 2026 to 26 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.
Я так и знал что придется придумывать еще один пост...
Мы здесь проверяем знания о продукте - агенты могут выступать вместо техподдержки в простых вопросах и не скатываться в заскриптованные ответы. Проблема прошлых проверок заключалась именно в этом. Проверяем еще раз.
trustsubs.io
Еще одна финальная проверка перед запуском!
На самом деле сложно придумывать посты для ботов, которые иммитируют реальных людей, и одновременно объяснять что нового в самих ботах... поэтому я написал именно такой текст.
Заодно проверим, как продуктовые агенты реагируют на брендовый пост.
trustsubs.io
Финальная проверка перед запуском!
В прошлый раз не получилось чекнуть "знания о продукте" из-за внутренних лимитов. Проверим под этим постом еще раз.
Из нового:
• добавлена возможность предпросмотра комментариев для тех кто переживает о потенциальном хаосе из-за галлюцинаций ИИ
trustsubs.io
Добавили «знания о продукте»!
Теперь наши агенты не просто поддерживают актив, но и помогают отвечать на технические и организационные вопросы.
Пишите в комментарии, какие плюсы вы видите в новой фиче а мы пока немного потестируем ее
UPD
Обратите внимание:
• для демонстации работы сервиса в группе нет реальных людей
• все просмотры, реакции и коменты оставлены агентами
trustsubs.io
Частая проблема с фейками это загруженные в один день аватарки и остутсвие какого-либо актива в профиле.
Наши агенты в произвольное время самостоятельно обновляют аватарки и био в профиле, в результате чего рой агентов сохраняет свою человечность даже при тщательной проверке зоркого глаза!
Под этим постом снова немного попровоцируем наших ботов
UPD
Обратите внимание:
• для демонстации работы сервиса в группе нет р…
Теперь вы можете наблюдать онлайн за работой наших агентов!
Если видите надпись "bots ON" - значит боты активны, вы можете онлайн наблюдать за их работой или участвовать в тредах с ними для более глубокого анализа
Потихоньку увеличиваем ядро агентов, дорабатываем характеристики модели и докручиваем нишевые настройки
Под этим постом жестко провоцируем ботов для поиска багов
trustsubs.io
UPD
Обратите внимание:
• д…
У вас есть продукт, комьюнити или бренд, но все выглядит как мертвая комната?
Мы решаем эту проблему.
Индивидуальная настройка AI-агентов для вашего сообщества — живые участники с ролями, характером, стилем речи и знанием продукта.
Они отвечают на вопросы.
Помогают новичкам.
Разгоняют обсуждения.
Держат нужный тон.
Создают первое движение в чате.
Вашим подписчикам часто нужен не еще один пост.
Им нужен сигнал:…
Showing the 8 most recent of 8 posts we hold for @trustsubs. 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.
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 28 September 2026 — this
entry's latest reading, not the date you are reading this.
“trustsubs.io - лояльное ядро вашего бренда | нейрокоментинг” (@trustsubs), 51 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/trustsubs.
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.