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Channel

Айтехник

@I_texnic

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

71subscribers

+1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001996925532
TypeChannel
Username@I_texnic
CreatedBetween 1 October 2023 and 30 April 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live29 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 29 August 2026
On Telegramt.me/I_texnic

Growth

707170.57 August 2026 — 70 subscribers9 August 2026 — 70 subscribers21 August 2026 — 71 subscribers7 August 202621 August 2026
3 measurements spanning 14 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 70–71 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 23:5471+1
9 Aug 2026, 23:4670no change
7 Aug 2026, 15:0670first reading

Engagement

19 posts held, back to 1 June 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
6.34%
avg views ÷ 71 subscribers
Avg views / post
4.5
2 posts measured
Reaction rate
66.7%
reactions ÷ views · ER floor
Posts in window
2
of 19 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 1 August 2026
Posts held19 (1 June 20261 August 2026)
Views total9
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 23:46 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

54 reactions across 16 posts, in 11 distinct kinds. The most used accounts for 33.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1833.3%
👍1120.4%
👏1018.5%
🆒35.56%
👾35.56%
🌚23.70%
👻23.70%
🗿23.70%
11.85%
❤‍🔥11.85%
👀11.85%

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 16 of the 19 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 54reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 1 June 2026 to 1 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.

Recent posts

1 Aug 2026, 10:51 UTC5 views3 reactionsread 9 August 2026

🆓 Бесплатные API-ключи для Codex, Cursor и других coding-агентов — OpenCode Zen Команда SST (создатели серверного фреймворка) запустила Zen — сервис с бесплатными моделями, оптимизированными для кодинга 🔥 Что дают бесплатно: 🔹 DeepSeek V4 Flash Free 🔹 MiMo V2.5 Free 🔹 Nemotron 3 Ultra Free 🔹 Laguna S 2.1 Free 🔹 Ling-3.0-flash Free 🔹 North Mini Code Free 🔹 Big Pickle (стелс-модель от неизвестной лаборатории) Как

👏1👻1🔥1

1 Aug 2026, 10:51 UTC4 views3 reactionsread 9 August 2026
Photo

🆓 Бесплатные API-ключи для coding-агентов — OpenCode Zen

👍1👏1🔥1

28 Jul 2026, 08:24 UTC9 views6 reactionsread 9 August 2026

🐦 Bonsai 27B — первая 27-миллиардная модель, которая запускается на смартфоне PrismML (стартап от исследователей Caltech) выпустил Bonsai 27B — опенсорс-модель, которая помещается в карман 🫧 📱 1-bit версия — 3.9 ГБ ▸ Запускается прямо на iPhone (17 Pro / Pro Max) ▸ Скорость: ~11 токенов/секунду ▸ Качество: 76% от оригинала ▸ Подходит для: чат, простые задачи, генерация текста 💻 Ternary версия — 5.9 ГБ ▸ Запуск

👾2🔥2🆒2

28 Jul 2026, 08:23 UTC9 views6 reactionsread 9 August 2026
Photo

🐦 Bonsai 27B — первая 27-миллиардная модель для смартфона от PrismML (Caltech)

👍2👏2🔥2

19 Jul 2026, 16:33 UTC13 viewsread 9 August 2026
Photo

🚀 Kimi K3 — крупнейшая open-weight модель в мире

19 Jul 2026, 16:33 UTC18 views4 reactionsread 9 August 2026

Moonshot AI выпустила Kimi K3 — 2.8 трлн параметров, MoE, 1M токенов контекст. Веса релизятся 27 июля. Самая большая открытая ИИ-модель в истории. 📌 Что умеет ▸ #1 в Frontend Code Arena (1679 pts) — обогнала Claude Fable 5 ▸ Лидирует в 6 из 7 доменов: маркетинг, дизайн, аналитика, симуляции, контент ▸ Нативно мультимодальная — текст картинки из коробки ▸ Бьёт Claude Opus 4.8 и GPT-5.5 на кодинге и агентных задач

🔥2👍1👏1

16 Jul 2026, 05:09 UTC13 views4 reactionsread 9 August 2026

🍎 MacBook Ultra — полная картина Apple готовит новый тир выше MacBook Pro. Не замена — а модель НАД ним. Вот что говорят Gurman, Kuo и поставщики. ━━━━━━━━━━━━━━━━━━ 🖥 ДИСПЛЕЙ ▸ Первый MacBook с OLED ▸ Tandem OLED (два слоя — как в iPad Pro) — ярче, глубже, настоящий чёрный ▸ Вместо notch — Dynamic Island ▸ Сенсорный экран — впервые в истории Mac ━━━━━━━━━━━━━━━━━━ ⚡ ЧИП ▸ M6 Pro / M6 Max ОТМЕНЕНЫ (2nm TSMC) ▸

🔥2👍1👻1

16 Jul 2026, 05:08 UTC10 views2 reactionsread 9 August 2026
Photo

🍎 MacBook Ultra — всё, что известно OLED, тачскрин, 5G, от $2,500. Самый дорогой Mac в истории.

🌚2

10 Jul 2026, 16:08 UTC11 views3 reactionsread 9 August 2026

🔒 privacy.sexy — 700+ скриптов для приватности Отключает телеметрию, трекеры и слежку в Windows, macOS и Linux. Open source, AGPL-3.0. ▸ 3 уровня: Standard / Strict / All ▸ Каждый скрипт можно посмотреть перед запуском ▸ Откат изменений — всё обратимо ▸ Без установки — web + десктоп-приложение Что делает: • Вырубает телеметрию Windows и браузеров • Удаляет bloatware (OneDrive, Cortana, Candy Crush) • Настраивает ф

👍1👏1🔥1

10 Jul 2026, 16:08 UTC10 viewsread 9 August 2026
Photo

🔒 privacy.sexy — 700+ скриптов для приватности. Open source, AGPL-3.0. Приватность — это секси 🔐

5 Jul 2026, 20:44 UTC11 views3 reactionsread 9 August 2026
Photo

🫧 pxpipe — платим за Claude в 7× меньше через магию пикселей Новый опенсорс-инструмент берёт то, за что вы платите в Anthropic Fable 5, и конвертирует это в… картинки. Звучит как баг? Это фича. 🧠 ▸ Как это работает pxpipe перехватывает запросы к Claude Code, рендерит «тяжёлые» куски контекста (системные промпты, тул-доки, вывод команд, логи) в PNG-страницы и отправляет их моделью как изображения. Fable 5 отлично чи

👍1👏1🔥1

Showing the 12 most recent of 19 posts we hold for @I_texnic. 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.

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 21 August 2026 — this entry's latest reading, not the date you are reading this.

“Айтехник” (@I_texnic), 71 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/I_texnic.

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.