Telegram RegisterThe public register of Telegram

Channel

Digitable: Channel

@digitable_blog

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

185subscribers

+9 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002056433705
TypeChannel
Username@digitable_blog
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/digitable_blog

Growth

176185180.56 August 2026 — 176 subscribers8 August 2026 — 176 subscribers13 August 2026 — 185 subscribers6 August 202613 August 2026
3 measurements spanning 7 days, net +9. 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 175–186 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 05:29185+9
8 Aug 2026, 13:46176no change
6 Aug 2026, 16:08176first reading

Engagement

12 posts held, back to 12 May 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
77.3%
avg views ÷ 185 subscribers
Avg views / post
143
2 posts measured
Reaction rate
5.59%
reactions ÷ views · ER floor
Posts in window
2
of 12 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 6 August 2026
Posts held12 (12 May 20266 August 2026)
Views total286
Reactions total16
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 13:46 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

40 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2050.0%
👍1640.0%
25.00%
👌25.00%

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 12 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 40reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 12 May 2026 to 6 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

6 Aug 2026, 22:22 UTC168 views9 reactionsread 8 August 2026
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#courses #opensource #fts #flang #digit #materials #learning #lms Итак, можно было подумать, что за месяц нет каких-то дополнительных постов, но на самом деле, целый месяц напрягая тысячи лучших ИИ-агентов, используя самые интересные подходы и не только, я систематизировал в открытом пространстве на портале бесплатных курсов все материалы. https://courses.digitable.life - это инструментарий, на котором вы можете из

🔥9

Signed Marat Zimnurov

29 Jul 2026, 13:20 UTC118 views7 reactionsread 8 August 2026
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#speaker #conference #it #development #opensource #holyjs #ai #logic #math #computerscience Очередной мой доклад заанонсирован на сайте HolyJs, в этот раз шизы меньше, но гораздо больше фундамента! А вообще, меня опять сбайтил @DreamShaded , thanks man Анонс доклада: https://holyjs.ru/talks/20011201-from-aristotle-to-runtime-formally-provable-typescript-and-ai-that-verifies-its-own-code/ Конфа будет в Санкт-Петерб

🔥5👍2

Signed Marat Zimnurov

30 Jun 2026, 20:24 UTC169 viewsread 8 August 2026
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#privacy #152фз #gdpr #cookies #systemdesign #персональныеданные #security #frontend #backend #architecture #documentation На портале обучения опубликовал пост https://courses.digitable.life/post/blog/152fz-privacyengineering/ про работу с персональными данными, он слишком гигантский для поста в тг, но тезисно выложу и тут Передайте вашим программистам и тимлидам) В основном это инженерный разбор, так как для раз

Signed Marat Zimnurov

27 Jun 2026, 12:54 UTC367 views7 reactionsread 8 August 2026
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#нейросети #ai #audio #images #diffusionmodels #diffusion #documentation 🧠 Многие думают, что нейросеть "рисует картинку с нуля". На самом деле это не совсем так. Большинство современных моделей (FLUX, Stable Diffusion, SDXL и многие другие) работают по принципу диффузии — они постепенно убирают шум, шаг за шагом восстанавливая нужное изображение. То же самое сегодня происходит и в генерации аудио: модель постепенн

👍51🔥1

Signed Marat Zimnurov

31 May 2026, 17:34 UTC484 views2 reactionsread 8 August 2026
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#нейросети #ai #sdd #advancedprompting #specdrivendevelopment #documentation Большинство людей работают с LLM так: "Сделай мне сайт" "Помоги похудеть" После чего начинают 30 сообщений уточнять детали. SDD (Spec-Driven Development) предлагает: IDEA → SPECIFY → PLAN → TASKS → IMPLEMENT /specify Вы описываете задачу обычным языком. ИИ превращает её в структурированную спецификацию Причём уже здесь можно использов

👌2

Signed Marat Zimnurov

30 May 2026, 12:12 UTC401 views2 reactionsread 8 August 2026
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#нейросети #llm #advancedprompting #профессиональныйпромптинг #промптинг Сделал шпаргалку по промптингу для начинающих Большинство людей используют LLM примерно так: "Напиши мне текст." И получают средний результат. Но качество ответа зависит не только от модели. Очень многое зависит от того, КАК вы формулируете задачу. Вот несколько техник, которые можно использовать уже сегодня. Описание каждого вы найдете в

🔥2

28 May 2026, 15:53 UTC330 viewsread 8 August 2026

#стриминг #видосики #ai #knowledge #prompting #ml #sbse #digitalclone #youtube https://www.youtube.com/watch?v=1nIYdw1T8Gs В этом видео: — как работают LLM, нейросети и алгоритмы машинного обучения на базе SBSE — почему нейросети не “думают” — что такое токены и контекстное окно — как устроен профессиональный промптинг: ZS, FS, RCTF, ToT, CoT — что такое RAG, MCP и AI-агенты — зачем нужны видеокарты — как генериру

19 May 2026, 08:55 UTC168 viewsread 8 August 2026

#github #microsoft #мысли На тему лока гитхаба кстати, просто увидел видос о новых релизах в мобилке и решил поделиться Я регнулся на гитхабе в 2017-ом, потому что сидеть на гитлабе было не модно, но гитлаб тогда имел лучшие лимиты по количеству репозиториев доступных приватных. Организации в основном сетапили внутренний либо SVN (привет Tortoise SVN) либо self-hosted GitLab на внутреннем домене. Да и до сих пор та

16 May 2026, 19:08 UTC155 views7 reactionsread 8 August 2026

Так-с, кому нужно смотреть без монтажа запись стрима тут https://www.twitch.tv/videos/2773485930, но она долго не хранится Постараюсь смантировать асап, залить на ютуб/рутуб/вк с минимумом закадрового кашля и с визуалом побольше Получилось покрыть следующие темы по верхам: — SBSE, ML, LLM, Цепи Маркова — Advanced prompting: Zero, Few, CoT, CoV, ToT, RCTF, RAG, SDD — Конвертация задач к тексту — Токеномика, контекс

👍7

16 May 2026, 15:38 UTC147 views1 reactionsread 8 August 2026

Запустил стрим, сегодня говорим про ИИ, запись будет доступна, потом накромсаю на ютуб видосом https://www.twitch.tv/marat_zimnurov Кто хочет позадавать вопросы in real time, you’re welcome

1

15 May 2026, 18:23 UTC146 views3 reactionsread 8 August 2026
File

Так-с, запланировал стрим на завтра в 18:30 часика на 3 по мск 🏆 Тема на завтра – рассказать вообще всё, что реально нужно знать про методы искусственного интеллекта (ИИ) и прочий SBSE, поговорим про advanced prompting, про разных провайдеров, на что обращать внимание, как можно бенчмаркать, как решать задачи и какие подходы вообще есть. Цель – сделать просветительскую нарезку на YouTube, чтобы у людей была понятна

🔥3

12 May 2026, 16:01 UTC213 views2 reactionsread 8 August 2026
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#дайджестпачкамемов #meme На днях (сегодня-завтра) запущу стримы снова, немного приболел, занимался диссером, сейчас опять нашлись вечерние слоты на стримчанские В ближайших стримах чем бы хотел заняться: • пилим софт для людей с a11y, есть пара гипотез как это можно подружить с клонированием голосов и реализовать • рассказываю всё, что нужно знать про ИИ сейчас • пилим микрофреймворк на базе openclaw для ведения

👍2

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

Citation-graph rank — 849,370 of 1,169,250entries 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.

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.

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

“Digitable: Channel” (@digitable_blog), 185 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/digitable_blog.

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.