Channel
@markins_co
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
140subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001548526314 |
|---|---|
| Type | Channel |
| Username | @markins_co |
| Description | Коротко о сервисах на базе ИИ для работы |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/markins_co |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 22:31 | 140 | no change |
| 7 Aug 2026, 19:17 | 140 | first reading |
20 posts held, back to 1 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 pageof 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.
| Window | Rolling 30 days · latest post in window 29 July 2026 |
|---|---|
| Posts held | 20 (1 June 2026 – 29 July 2026) |
| Views total | 287 |
| Reactions total | 27 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 22:31 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 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 7 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.
53 reactions across 17 posts, in 7 distinct kinds. The most used accounts for 37.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 20 | 37.7% | |
| 🔥 | 19 | 35.8% | |
| ❤ | 8 | 15.1% | |
| 😁 | 3 | 5.66% | |
| 🎉 | 1 | 1.89% | |
| 👏 | 1 | 1.89% | |
| 🤣 | 1 | 1.89% |
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 17 of the 20 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 53reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 1 June 2026 to 29 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @markins_co. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 20 most recent posts we hold for this entry, published 1 June 2026 to 29 July 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
🪐 Claude Opus 5 за сутки собрала целую и объемную космическую игру Разработчик дал модели один промпт - сделать космическую игру с нуля. Дальше почти не вмешивался: ИИ 24 часа сам писал код, рисовал графику через Blender и делал звуки, а отдельный агент-критик сравнивал результат с топовыми играми про космос и не давал остановиться, пока не стало похоже на уровень большой студии. Игра называется The Long Silence, …
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📱 Higgsfield генерирует короткие рекламные видео Инструмент AIStudio берёт фото человека и картинку товара, а по сценарию и репликам собирает готовый ролик - картинку генерирует Veo 3. Ссылка: https://higgsfield.ai/create/speech?ugc-studio=true
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🚀 Anthropic выпустила Claude Opus 5 Компания заявляет, что модель почти дотягивает до топовой Fable 5 по интеллекту, но стоит вдвое дешевле. Есть режим Fast - работает примерно в 2,5 раза быстрее обычного, правда, и цена выше в два раза. Из фишек: можно на лету менять набор инструментов внутри одного диалога без сброса кэша, а ещё появился автофоллбэк - если запрос словил отказ по безопасности, система сама перена…
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🧹 В Claude Code появилась кнопка «генеральной уборки» Автор проекта Борис Черный добавил новую команду /checkup, которая автоматически находит и убирает всё лишнее: неиспользуемые скиллы, плагины, MCP-серверы, дубли в CLAUDE.md и другие элементы, замедляющие работу агента. После такой «чистки» Claude Code работает быстрее и тратит меньше токенов. Команда уже доступна в последних версиях Claude Code. Источник: htt…
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🎮 ИИ скоро пройдет игру за человека Исследователь Итан Моллик дал модели GPT-5.6 Sol полный контроль над компьютером и попросил закрыть дневной челлендж в Slay the Spire 2. Там рандомные условия, так что схитрить нельзя. Модель 5 часов подряд сама двигала мышкой и жала клавиши, перебирая карты и просчитывая ходы, и в итоге выиграла. Источник: https://x.com/emollick/status/2075950897029374334
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🐾 Ошейник, который «озвучивает» питомца Personifi AI выпустила Shazam Band - ошейник со встроенным ИИ, который распознаёт состояние собаки или кошки и озвучивает его человеческим голосом. Спросите питомца, голоден ли он и ошейник расскажет, насколько сильно он хочет есть. Есть больше 25 голосов, поддержка нескольких языков и GPS-трекер. Цена - от $495 до $595. Источник: https://www.techradar.com/computing/artific…
❤2🔥2😁1
⌨️ OpenAI выпустила клавиатуру для Codex Называется Codex Micro - компактный пульт с механическими клавишами, джойстиком и поворотным регулятором, сделанный вместе с Work Louder. Клавиши подсвечиваются и показывают статус агентов - думает, работает, ждёт или закончил. Джойстиком запускаются частые сценарии вроде ревью PR или дебага. А регулятором можно на лету крутить «мощность мышления» модели, от быстрых простых …
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🇷🇺 Claude оказался самым «строгим» на русском Anthropic выяснила, что характер Claude меняется в зависимости от языка и версии модели. На русском и английском он чаще спорит, поправляет и просит доказательства. На хинди и арабском теплее, шутит и хвалит. Разные версии тоже отличаются: Sonnet 4.6 мягче, Opus 4.7 осторожнее и глубже копает. Причина пока неясна, возможно, дело в обучающих данных или культурных различ…
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🔍 Cloudflare научился ловить ИИ-ботов по поведению Новая система Precursor следит за тем, как посетитель ведёт себя на сайте, не в моменте, а на протяжении всей сессии. Обычные боты уже умеют работать через настоящий браузер и проходить капчи. А вот долго вести себя как живой человек, например, двигать курсор, печатать и кликать им пока сложно. Cloudflare уверяет, что приватность не страдает. Фиксируется только ск…
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🗣 OpenAI выпустила GPT-Live-1. Новая голосовая модель для ChatGPT Voice, уже доступная всем. Главная фишка - full-duplex: модель слушает и говорит одновременно, поэтому естественно реагирует на паузы и перебивки, а не ждёт своей очереди. Работает через две модели параллельно: сложные вопросы уходят на обработку в GPT-5.5, а голосовая часть тем временем держит разговор живым. Отсюда и синхронный перевод на лету меж…
🔬 Anthropic сделала отдельное приложение для исследователей Claude Science - это по сути рабочий стол исследователя: не надо прыгать между Jupyter, PubMed, терминалом и десятком баз данных, всё живёт в одном месте. Что внутри: — доступ к 60+ научным базам одним запросом — обработка данных и построение графиков прямо в диалоге — встроенный ИИ-проверяющий, который ловит ошибки в расчётах и битые/непроверяемые цитаты …
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🎧 Любую книгу в аудиокнигу за пару секунд Бесплатная нейросеть, которая быстро озвучивает объёмные тексты. — Работает с большим количеством языков — В основе одна из топовых TTS-моделей, KokoroTTS, голоса звучат живо — Не нашли подходящий голос, можно обучить свой — Простая установка — Полностью опенсорсный проект, то есть бесплатный навсегда Ссылка: https://github.com/denizsafak/abogen
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Showing the 12 most recent of 20 posts we hold for @markins_co. 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 — 540,049 of 1,480,688entries 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.
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.
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“markins | про AI” (@markins_co), 140 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/markins_co.
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.