Актуализировал LinkedIn - скоро его будет вести мой цифровой аватар брат. https://www.linkedin.com/in/g3osha/

Channel
META G3OSHA
@web_g3osha
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
147subscribers
+0 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001700010332 |
|---|---|
| Type | Channel |
| Username | @web_g3osha |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 13 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 2 times, most recently 13 September 2026 |
| On Telegram | t.me/web_g3osha |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 16:37 | 147 | -1 |
| 14 Aug 2026, 14:37 | 148 | +1 |
| 8 Aug 2026, 20:31 | 147 | no change |
| 5 Aug 2026, 22:06 | 147 | first reading |
Engagement
15 posts held, back to 10 March 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 15 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 52s
- Average length
- 17s
Measured directly from 3 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.
Reaction mix
26 reactions across 9 posts, in 3 distinct kinds. The most used accounts for 57.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5235837043908549926 | 15 | 57.7% | |
| custom 5235800377772744793 | 6 | 23.1% | |
| custom 5235602693313011905 | 5 | 19.2% |
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 15 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 26 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 10 March 2026 to 5 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
КАК ПРАВИЛЬНО ОРГАНИЗОВЫВАТЬ АРХИТЕКТУРУ в мультиагентских системах? Если вы можете отправлять запрос с любой задачей самой дорогой модели на рынке и не думать о деньгах - этот пост не для вас. Для остальных - читаем ниже. Все зависит от задачи. Например, вы создаете цифрового аватара для стенда магазина электроники Эмви. Ваша задача - добиться качественной классификации запроса пользователя и сокращения времени о…
custom 52358003777727447932
💎В будущем независимость децентрализованного AI в фокусе конкретного семейства моделей (Claude / ChatGPT / Kimi / ...) может обеспечиваться автоматической балансировкой (причем с распределенными весами) проприетарной модели для использования Сообществом. Иначе говоря - видим, что в общем рейтинге качества (= интеллекта ?) моделей появились лидеры - перераспределяем запросы пользователей на модели более низкого рейти…
custom 52358370439085499261
Channel photo updated
Мои друзья из VR-meta-будущего запустили Open call на фестиваль Pobegi. В нем можно принять участие и сделать какую-нибудь футуристичную метаверс-работу. Подаваться здесь: https://vrpobegi.xyz/#call Я для фестиваля буду делать инсталляцию с гигантским аудио-визуальным иммерсивным Буддой и храмами всех религий (как тут, только масштабнее) 🫀
custom 52358370439085499263custom 52358003777727447931
AI умеет в аналитику красиво, но не всегда осмысленно. Чем больше бумаги производится, тем больше ее нужно читать и тем выше становится ценность каждого озвученного или зафиксированного слова. Сейчас в зоне моих интересов - рост экспертизы на пересечении глубокой аналитики данных, вкусного визуала и неочевидных инсайтов. В качестве примера того, как можно - базовая аналитика о сервисе Hugging Bay, который увидел св…
Не пропадайте, скоро будет много новостей
custom 52358370439085499263
Video, posted without a caption
custom 52356026933130119054custom 52358370439085499262
Котостартап
custom 52358003777727447933
Потенциал 1 - качество (повышение качества) Потенциал 2 - интеллектуальный модель (агентская логика под капотом - фокус на маркетинг) Потенциал 3 - оптимизация расходов
Звучит безумно, но я на самом деле прямо здесь и сейчас решаю - клонировать себя в метабудущее без времени, или нет. OpenClaw - это не просто тул. Это то, что позволяет создавать своего настоящего цифрового двойника прямо сегодня и прямо сейчас. А дальше что? Ну, например, не просто свидание в VR, а свидание ваших цифровых двойников в VR.
У меня, наконец, появился Mac mini m4. Стоило бы раньше, но я странствовал кочевником в Индии и почти не пользовался телефоном. Это означает, что подобное начнет появляться в моем канале без моего ведома. Возможно.
custom 52358370439085499261
Showing the 12 most recent of 15 posts we hold for @web_g3osha. 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.
Forward network
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.
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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“META G3OSHA” (@web_g3osha), 147 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/web_g3osha.
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.