Channel
@techograminside
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
17,628subscribers
-24 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001229753756 |
|---|---|
| Type | Channel |
| Username | @techograminside |
| Description | 5208154015 Нейросети, новости из мира IT, науки и технологий По важным вопросам: @engineering_smm Менеджеры: @Imijj0 @man_techno https://teletarget.com/campaign/add/11374/?ref=5784 Отзывы: @otziv_Technogram |
| Created | 13 May 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/techograminside |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 19:53 | 17,628 | -9 |
| 11 Aug 2026, 18:58 | 17,637 | -5 |
| 9 Aug 2026, 18:11 | 17,642 | +1 |
| 8 Aug 2026, 18:07 | 17,641 | -6 |
| 7 Aug 2026, 16:06 | 17,647 | -7 |
| 6 Aug 2026, 16:32 | 17,654 | +2 |
| 6 Aug 2026, 09:53 | 17,652 | first reading |
54 posts held, back to 3 August 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 20 pagesof Telegram’s post history, 20 posts per page.
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. It is computed over the 34 of 54 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 54 (3 August 2026 – 12 August 2026) |
| Views total | 56,785 |
| Reactions total | 163 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 01:40 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.
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 19 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.
163 reactions across 32 posts, in 10 distinct kinds. The most used accounts for 31.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 52 | 31.9% | |
| 😁 | 30 | 18.4% | |
| ❤ | 24 | 14.7% | |
| 🔥 | 23 | 14.1% | |
| 🤷♂ | 10 | 6.13% | |
| 🤡 | 9 | 5.52% | |
| 🤮 | 8 | 4.91% | |
| 👎 | 4 | 2.45% | |
| 👏 | 2 | 1.23% | |
| 💩 | 1 | 0.613% |
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 34 of the 54 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 163reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 54 most recent posts we hold, published 3 August 2026 to 12 August 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.
Китайцы выпустили комариное ПВО — лазерная установка сбивает кровопийц прямо в воздухе. Девайс наводится на летающих насекомых размером от 2 до 20 мм с помощью лидара и подстреливает их на дистанции до шести метров. Запитать можно от пауэрбанка — 20 000 мАч хватает на пять часов. Стоит от 80 000 рублей ($988). Technogram Inside
Gemini может официально стать доступна в России Google получила разрешение на регистрацию товарного знака Gemini в России. Заявку компания подала ещё в 2024 году, однако процесс затянулся из-за претензий, связанных со схожестью названия с товарным знаком чешской организации Finshape. Technogram Inside
🔥1
ИИ музыка умирает: Spotify удалит все нейро-треки из рекомендаций площадки, а сами исполнители получат тег «AI Persona». Новые правила начнут работать с середины сентября, но вернуть «ИИ-музыканта» в выдачу можно, если подписаться на него. Такое решение Spotify объясняет желанием продвигать живых артистов. Интернет становится чище. Technogram Inside
❤3👏1
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Вот такие условия работы: Disney заставили сотрудников шанхайского Диснейленда выйти на работу, несмотря на природный катаклизм Восток Китая атаковал тайфун Dolphin, который принёс с собой проливные дожди и ветер с порывами до 150 км/ч. Из Шанхая эвакуировали миллион человек, но Диснейленд продолжил работу. Technogram Inside
👎1
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Китайские ученые создали самовосстанавливающуюся одежду из грибов. В основе — мицелий гриба-паразита кордицепса, который в природе захватывает тела насекомых. При правильном подходе из него можно делать гибкую «живую» ткань: если она порвется, достаточно побрызгать водой c грибковыми гранулами, чтобы дыра затянулась. Пока есть только прототипы: авторам еще предстоит проработать вопросы износостойкости и стирки. Te…
👍1
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Claude только что продвинул мировую математику на десятилетия вперёд. В Anthropic отправили экспериментальную модель штурмовать гипотезу Римана — сложнейшую математическую задачу, которую кожаные математики безуспешно пытаются решить с 1859 года. Сразу спойлер: саму гипотезу Claude не решил, зато нашёл способ поднять доказанную долю подходящих функции с 41,6% до 67,2% — это гигантский прорыв, который сэкономит научн…
❤4👏1😁1
Лифт с выходом прямо в квартиру: девушка показала интересную особенность своего дома в Барселоне. Из плюсов: у вас почти личный лифт! Из минусов: если зашел с соседом, нужно ждать, пока он откроет дверь. Но случается такое редко — в доме всего четыре квартиры. Technogram Inside
😁1
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В США прошёл ежегодный чемпионат по мытью полов среди женщин — Housekeeping Games Судьи оценивали скорость, технику обращения со шваброй и то, насколько чисто был вымыт отрезок. Баллы снимались за оставшийся мусор или пыль, сбитые препятствия и нарушение порядка выполнения задания. Одновременно с этим прошли гонки с пылесосами, скоростная заправка кроватей и броски рулонов туалетной бумаги в корзину. Technogram In…
🤡1
Showing the 12 most recent of 54 posts we hold for @techograminside. 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 — 577,821 of 1,160,990entries 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.
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.
Named by 4 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.
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.
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.
“Technogram Inside | IT” (@techograminside), 17,628 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/techograminside.
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.