Telegram RegisterThe public register of Telegram
Telegram profile photo for Max: AI, Engineering and Startups

Channel

Max: AI, Engineering and Startups

@max_about_ai

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Cite this entry

14,495subscribers

+2,813 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002017563240
TypeChannel
Username@max_about_ai
DescriptionАвторский канал про ИИ, разработку и стартапы от Head of AI & Product Engineering. Стараюсь писать полезно и кратко. Делюсь возможностями, лайфхаками, личным опытом, ресёрчем и рефлексией. Фидбек, советы, предложения: [email protected]
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/max_about_ai

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

11,65814,49513,076.56 August 202610 November 2026
62 measurements spanning 97 days, net +2,813. 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 11,232–14,921 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
10 Nov 2026, 13:3614,495+781
8 Nov 2026, 21:5913,714+94
7 Nov 2026, 12:2513,620+114
6 Nov 2026, 11:2013,506+165
5 Nov 2026, 07:4713,341+67
4 Nov 2026, 08:1713,274+232
3 Nov 2026, 07:2913,042+178
2 Nov 2026, 07:4812,864+85
1 Nov 2026, 10:2012,779+34
31 Oct 2026, 11:0512,745+80
30 Oct 2026, 11:0512,665+96
29 Oct 2026, 13:3812,569+221
28 Oct 2026, 16:1012,348+312
27 Oct 2026, 17:0112,036-5
24 Oct 2026, 20:0812,041+4
23 Oct 2026, 17:4412,037+7
22 Oct 2026, 14:3412,030+6
21 Oct 2026, 05:1212,024+3
20 Oct 2026, 04:4712,021+7
19 Oct 2026, 07:3012,014first reading

Engagement

29 posts held, back to 28 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 67 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
50.4%
avg views ÷ 14,495 subscribers
Avg views / post
7,310
3 posts measured
Reaction rate
0.684%
reactions ÷ views · ER floor
Posts in window
3
of 29 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 9 November 2026
Posts held29 (28 December 2025 – 9 November 2026)
Views total21,920
Reactions total150
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 19:24 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.

What this channel posts

Photos
17
Videos
2
Links
73

Lifetime counters from Telegram’s own channel header, read 12 November 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.

Reaction mix

1,942 reactions across 28 posts, in 29 distinct kinds. The most used accounts for 35.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍69235.6%
❤54528.1%
🔥37119.1%
🤮954.89%
💯683.50%
😁522.68%
👎291.49%
🤡150.772%
🥰130.669%
😱90.463%
🤔80.412%
🤣80.412%
👏50.257%
🥱50.257%
😴40.206%
🌚30.154%
👌30.154%
🗿30.154%
🙏30.154%
❤‍🔥20.103%
9 further kinds90.463%

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 29 of the 29 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 2,028 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 28 December 2025 to 9 November 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.

Telegram Stars

Stars received
11
across the posts below
Posts paid on
6
of 29 we hold a reading for · 21%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @max_about_ai. 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 29 most recent posts we hold for this entry, published 28 December 2025 to 9 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 3 posts held from the last 30 days (33.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

9 Nov 2026, 17:20 UTC≈5,450 views72 reactionsread 12 November 2026

Нравится нам это или нет, но бизнес все меньше хочет платить за код и закрытые таски в Jira, и все больше задается вопросом какую ценность компании принес конкретный сотрудник. Если бизнес - продуктовый, то успех продукта ~ успех бизнеса, а значит успех продукта ~ успех его разработчика. И тут нам на помощь приходит продуктовое мышление. Суть продуктового мышления довольно проста: думать о цели и результате, а не т…

👍41❤13🔥8🤡5👎3👀1🤔1

30 Oct 2026, 15:00 UTC≈7,810 views42 reactionsread 12 November 2026

Posted without readable text

🔥23👍8❤6🤣5

15 Oct 2026, 10:06 UTC≈8,660 views36 reactionsread 12 November 2026
Photo

На европейском рынке разработки есть ярко выраженная сегментация рынка, которая в меньшей степени выражена на российском и американском рынках. В основе разделения то, с кем компания конкурирует за инженеров. Можно выделить 3 тира компаний: 1️⃣ Локальные работодатели. Сравнивают зарплаты с похожими компаниями поблизости. Разработка часто воспринимается как статья расходов. Основная часть дохода - оклад. 2️⃣ Компан…

🔥17👍9❤7🥱2🤡1

18 Sept 2026, 16:21 UTC≈10,300 views72 reactionsread 12 November 2026

Оказывается, не все знают, что существуют когнитивные искажения - распространенные способы устойчиво мыслить или решать задачи каким-то типовым образом, сильно отличным от рациального. Есть много примеров когнитивных искажений. Например, эффект Даннинга — Крюгера, когда люди с низкой квалификацией неспособны распознать свои ошибки. Или, например, ошибка выжившего, когда люди недооценивают вероятность недоступных пря…

❤36👍29🔥5💯2

9 Sept 2026, 08:10 UTC≈10,200 views60 reactions1 Starread 12 November 2026
Photo

Сингулярность достигнута в уравнениях Навье-Стокса В математике существует список из 7 задач тысячелетия, признанных одними из самых сложных в современной математики. За их решение дают приз в 1 млн долларов. За 26 лет существования списка была решена только одна задача - Гипотеза Пуанкаре. И это при том, что тысячи, а может быть сотни тысяч профессиональных математиков бились над их решением. OpenAI опубликовала р…

❤25👍14👎8😁7🔥3🤔3

7 Sept 2026, 09:38 UTC≈6,700 views41 reactionsread 12 November 2026

Как я использую AI для подготовки публичных презентаций Начну с пары важных для меня моментов: 1️⃣ Презентация должна содержать авторские мысли и отражать его понимание вопроса, иначе автор презентации становится лишней прослойкой между AI и слушателем. 2️⃣ Протестированные модели (Fable 5, GPT-5.6) все еще недостаточно хороши для полностью автономной подготовки презентаций. Им нужны вводные, нужен контроль структ…

🔥14❤12👍12😁3

31 Aug 2026, 13:57 UTC≈6,770 views19 reactionsread 12 November 2026

Митап про личные финансы для айтишников и фаундеров Меня позвали на онлайн-митап рассказать про мой опыт использования ИИ для личных финансов. Никаких секретных промптов и тем более финансовых советов не будет, но будет честный рассказ как я использую ChatGPT и Claude Code, чтобы экономить время и принимать более взвешенные личные финансовые решения. Кто еще будет и о чем расскажут: 🔵 Владислав Носковец (CEO Caree…

❤11👍4🔥3👎1

29 Aug 2026, 08:06 UTC≈7,370 views51 reactionsread 12 November 2026

AI Skills для агентов Даже странно что за 9 месяцев с момента появления скиллов я ни разу про них не написал. Пора закрыть этот гэп, потому что скиллы стали де-факто стандартом для повторяемых инструкций агенту и основным способом расширения его возможностей. Что такое скилл Скилл - повторяемый способ решения целого класса задач: инструкции, скрипты, шаблоны, документацию и критерии проверки. Скилл упаковывается …

👍31❤14🔥5🥱1

7 Aug 2026, 08:48 UTC≈9,040 views58 reactionsread 12 November 2026

Почему я пока не верю в универсальные темные фабрики софта (dark software factory) Несколько месяцев назад появился тренд на построение полностью автоматизированных фабрик софта: систему, в которой AI-агенты получают цели, а дальше сами формируют задачи, пишут код, запускают тесты и выкатывают изменения в прод, без какого либо участия людей. Эффективным менеджерам далеким от разработки эта идея кажется отличной. Мо…

👍27❤14🔥8👎5🗿3💯1

6 Jul 2026, 11:31 UTC≈12,100 views67 reactionsread 12 November 2026

Ликбез про RAG. ч.2. Фундаментальные ошибки. За последние 3 года я пообщался с десятком+ команд из разных компаний, работающих над приложениями на основе RAG. Две самые частые ошибки, которые я встречал: - плохая подготовка данных - garbage-in > garbage-out, - отсутствие evaluation (оценки качества) - не возможно улучшать то, что не измеряешь. Разумеется, существует множество других проблем, но это фундамент для в…

🔥35👍17❤14🎉1

16 Jun 2026, 15:34 UTC≈12,700 views73 reactionsread 12 November 2026

Про Fable 5 Я успел протестировать Fable 5 до его блокировки, но не успел закончить тесты. Дождаться разблокировки не удалось, так что поделюсь тем, что есть: 1⃣ Fable гораздо лаконичнее других моделей. Ответы именно лаконичнее, а не короче, то есть плотность информации выше, чем у других моделей. Мне это очень нравится, не люблю воду в текстах. 2⃣ Ответы Fable на прямолинейные замечания могут иметь яркую эмоциона…

❤37👍19😱8🔥7👌1🤯1

3 Jun 2026, 16:15 UTC≈12,700 views30 reactionsread 12 November 2026

Мне интересно читать каналы, где автор не пересказывает позавчерашней Твиттер или презентации БигТехов, а делится своими мыслями по интересной мне теме. Когда 6 лет назад мне пришлось начать совмещать роль Technical Product Manager с моей основной ролью, я искал что бы почитать по новой для меня роли и нашел канал Ани Подображных. Сегодня хочу его порекомендовать, потому что до сих пор читаю. Мне нравится, что посты…

❤18👍5❤‍🔥2🤮2👌1💩1🔥1

Showing the 12 most recent of 29 posts we hold for @max_about_ai. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

26 Jan 2026, 10:29 UTCAnonymous Poll2,040 voters approx.

Какой процент кода за вас пишет AI?

  1. 0%4%
  2. 0.01% - 10%5%
  3. 10% - 30%6%
  4. 30% - 60%7%
  5. 60% - 90%16%
  6. 90% - 99.9%20%
  7. 100%21%
  8. Посмотреть результаты21%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 29 most recent posts we hold, published 28 December 2025 to 9 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

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.

Mentions

Named by 18 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.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Max: AI, Engineering and Startups” (@max_about_ai), 14,495 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/max_about_ai.

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.