Other / unclassifiable — 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 24 September 2026 and assigned it the closest of 31 fixed categories, at 55% 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 39 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 195–196 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 14:40
195
-1
8 Aug 2026, 11:46
196
no change
8 Aug 2026, 09:31
196
first reading
Engagement
6 posts held, back to 9 January 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 6 posts for this entry, the most recent from 2 May 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
4 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
3
75.0%
❤
1
25.0%
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 3 of the 6 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 9 January 2026 to 2 May 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.
Высокотемпературная пресс-конвекционная сушильная камера для скоростной сушки древесины различных пород и сечений 👌
Преимущество высокотемпературной сушильной камеры заключается в том, что сушка происходит при температуре выше 100 градусов, за счет чего образуется среда насыщенного пара, в следствие дерево постоянно увлажняется со всех сторон и поверхность не пересыхает. Этот процесс позволяет равномерно передавать …
Термокамеры серии КИТ от 3 до 13 кубов единовременной загрузки
✔️ термообработка любых пород и сечений древесины
✔️ цикл термообработки длится 48 часов
✔️ влажность древесины на выходе до 4%
✔️ индукционный нагрев, без дополнительных нагревательных элементов
✔️ дистанционное контроль и слежение за работой оборудования через приложение Owen
✔️ окупаемость камеры от 6,5 месяцев
✔️ гарантия 1 год
В течение гарантийно…
Термообработка бруса свежеспиленного (до/после)
Фото от клиента из Екатеринбурга
Термокамера КИТ8 с объемом загрузки 8 м3, длина загружаемого штабеля 6 м
Температура термообработки 185 градусов 🔥
Пресс-конвекционная сушильная камера, объемом загрузки 10 м3, для высокоскоростной сушки древесины любых пород и сечений древесины, в том числе бруса и бревна
Оборудование полностью российского производства, без сложных механизмов, простое в управлении и с высоким процентом окупаемости👌
▪️ полностью из нержавеющей стали
▪️ система управления построена на базе микропроцессоров Овен
▪️ цикл сушки полностью автомат…
Термокамеры серии КИТ - это конвекционные индукционные термокамеры, работающие по принципу индукционного нагрева.
По всей термокамере проходит индукционная катушка, благодаря чему происходит равномерный нагрев стенок камеры и соотвественно равномерный нагрев древесины.
Термообработка проходит в среде насыщенного пара при допустимом избыточном давлении, в 4 этапа‼️
Наша технология термообработки позволяет получать …
Термокамера КИТ10
👉🏻 объем единовременной загрузки 10 м3
👉🏻 длина загружаемого штабеля 6 м
👉🏻 производительность в месяц 120 м3
👉🏻 мощность подключения 35 кВт
👉🏻 цикл длится 36-48 часов
👉🏻 расход электроэнергии 100 кВт на 1 м3 пиломатериала за весь цикл термообработки
👉🏻 функция досушки хвойных пород древесины с последующей термообработкой
👉🏻 термирует абсолютно любые породы древесины без потери качества
Термокамер…
Showing the 6 most recent of 6 posts we hold for @termolecprom. 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.
Declared links
One URL this entry has put in its own public description, shown exactly as written there. A declaration, not a verified association — we measured that the description contained this text, and nothing more. It is not a claim that this entry owns, runs or is connected to whatever the link resolves to; a description is text anyone controls, and anyone can put anyone else’s URL into it. How this is measured.
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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Термолеспром | термообработка древесины,термокамеры” (@termolecprom), 195 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/termolecprom.
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.