Рассказываю про AI-стартапы
Сo-founder @Speakadora_bot
🧑🏻💻📓✍🏻💡 🔓
• ex. NLP engineer в 2ГИСе и Яндексе
• ИТМО AI Talent hub alumni
• для связи: @Rustikhak
Created
Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
2 measurements taken within a single day. 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 271–273 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 08:48
272
no change
7 Aug 2026, 14:26
272
first reading
Engagement
17 posts held, back to 29 November 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
68.0%
avg views ÷ 272 subscribers
Avg views / post
185
1 post measured
Reaction rate
9.19%
reactions ÷ views · ER floor
Posts in window
1
of 17 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
Window
Rolling 30 days · latest post in window 31 July 2026
Posts held
17 (29 November 2025 – 31 July 2026)
Views total
185
Reactions total
17
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 08:48 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
67
Videos
18
Links
25
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.
Video runtime
32m 01s
Average length
16m 01s
Measured directly from 2 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
423 reactions across 17 posts, in 17 distinct kinds. The most used accounts for 32.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
136
32.2%
❤
125
29.6%
👍
68
16.1%
❤🔥
26
6.15%
😁
16
3.78%
👏
9
2.13%
👾
8
1.89%
🤓
7
1.65%
👨💻
6
1.42%
😱
6
1.42%
🦄
5
1.18%
🎄
3
0.709%
💯
3
0.709%
✍
2
0.473%
🆒
1
0.236%
😎
1
0.236%
🤔
1
0.236%
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 17 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 423reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 29 November 2025 to 31 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 17 we hold a reading for · 6%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @rustem_hacks. 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 17 most recent posts we hold for this entry, published 29 November 2025 to 31 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.
Уже больше года пользуюсь Claude code 😁
Я на витрине степика. Решил проявиться как препод не только для ребят из айти, а в целом для всех. Поэтому если вы давно откладывали работу с ии-инструментами, которые помогут вам автоматизировать процессы/рутину в computer use вещах. То велком на курс по VibeWorking
А если вы не знаете для чего применить такие инструменты и давно хотели создать свой проект, рекомендую заглян…
🤖 Автоматизировал проверку проектов 17 команд студентов за вечер
2 недели назад был на AI Talent Camp одна из задач экспертов (в том числе моя) была тестировать и оценивать продукты 17 команд. Вручную это боль: долго, бывает субъективно, еще тратить время для формирования нормального отчёта.
Собрал систему автоматического тестирования: Claude Agent SDK + Playwright MCP (кстати еще вышел недавно Playwright CLI, он р…
💌 14 февраля уже сегодня, а валентинка сама себя не сделает 😅
Сделали бота в ВК и ТГ на n8n + supabase для генерации картинки и видео: выбираешь в меню "Что умеет бот?" -> "Нейрофото"/"Оживить фото" -> выбираешь режим -> кидаешь ему фотку. Для валентинки кидаешь совместную фотку, есть стиль советской открытки или в стиле жвачки "Love is". Всё на нейросети 🤖
- Работает в ВК (если из РФ и картинки долго грузятся) и…
🔥 Лайфхак: как использовать LLM внутри вашего проекта без API-ключа
Способ работает: если вы вайбкодите на Claude Code.
☝️ нужна подписка на Claude (Pro/Max)
Недавно записывал базовый гайд по Claude Code: разрабатывал локальный мессенджер с встроенным AI-ментором. Суть в том, что можно использовать Claude Agent SDK, который работает на лимитах вашей текущей сессии Claude Code (лимиты смотреть можно через claude usa…
Всех с наступающим Новым годом от Рустем Хакает ИИ рынок 🔓🧠
Под конец года засветился много где (на стриме Соревновательного DS, на стриме у Вадима по менторству, в канале AI Talent Hub'a, на Продакт Радаре)!
Обновил аву канала не просто так, буду писать про ИИ рынок с разных сторон - накопил ещё большую экспертизу в разных аспектах ИИ рынка. Одним из главных достижений в этом году была крупная продажа AI-бота - S…
Завтра в 17:00 проведу небольшой мастер-класс по решению rag-соревнования от создателей курса Соревновательного DS 😎
Не ожидайте каких-то супер продвинутых техник. Постараюсь поделиться не только объяснением своего публичного решения, а в целом как я провожу эксперименты, чем руководствуюсь. Скажем так: затрону кусочками материалы из курсов CDS, LLM, VIBE, агенты, которые я применил в сореве 👨💻
https://t.me/data_s…
Кстати, кто не видел, на канале по Вайб-кодингу вышло видео, где я провел интервью по вашим вопросам из комментов. Спасибо, что задавали их!
https://t.me/big_llm_course/718
На одной из дискуссий сравнивали классическое обучение и соревновательный подход.
В первой модели сначала идет теория: учишь матан, статистику, ML по программе в универе, делаешь учебные проекты, только потом – практика.
Соревновательный подход - это Kaggle, чемпионаты, Codeforces, хакатоны. Сразу задача, дедлайн, борьба за место в топе. Теорию подтягиваешь по ходу, когда упираешься в стену.
Я за то, чтобы совмещ…
Showing the 12 most recent of 17 posts we hold for @rustem_hacks. 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.
Citation-graph rank
Citation-graph rank — 856,810 of 1,160,990entries 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 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“Рустем хакает 🧑🏻💻” (@rustem_hacks), 272 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/rustem_hacks.
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.
