Telegram RegisterThe public register of Telegram

Channel

RoboFuture

@robofuture

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

4,309subscribers

+77 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001347521521
TypeChannel
Username@robofuture
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/robofuture

Growth

4,2324,3094,270.56 August 2026 — 4,232 subscribers7 August 2026 — 4,241 subscribers10 August 2026 — 4,277 subscribers12 August 2026 — 4,309 subscribers6 August 202612 August 2026
4 measurements spanning 7 days, net +77. 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 4,220–4,321 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 22:234,309+32
10 Aug 2026, 01:314,277+36
7 Aug 2026, 03:234,241+9
6 Aug 2026, 09:344,232first reading

Engagement

18 posts held, back to 21 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 5 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
76.0%
avg views ÷ 4,309 subscribers
Avg views / post
3,280
4 posts measured
Reaction rate
3.46%
reactions ÷ views · ER floor
Posts in window
4
of 18 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 4 August 2026
Posts held18 (21 March 20264 August 2026)
Views total13,100
Reactions total453
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 12:01 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

Video runtime
6m 17s
Average length
1m 34s

Measured directly from 4 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

1,609 reactions across 18 posts, in 9 distinct kinds. The most used accounts for 46.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥74446.2%
👍59436.9%
👏1016.28%
😁784.85%
🤯643.98%
🐳150.932%
🌚60.373%
😱60.373%
🤬10.062%

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 18 of the 18 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 1,609reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 21 March 2026 to 4 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

4 Aug 2026, 14:21 UTC≈1,630 views96 reactionsread 8 August 2026
Photo

Похоже, тема применения агентов в повседневной жизни вам заходит. Тогда расскажу про ещё один кейс - поступление в ВУЗ Абитуриенту в 2026 после ЕГЭ можно подать заявления в 5 вузов, в каждом от 5 до 15 специальностей, проходной балл в момент подачи не знает никто, ориентир только прошлые годы, а с этого года вузам еще и запретили расширять платный набор, так что пролететь можно и мимо платки И здесь у нас многокрит

👍52🔥37🤯6👏1

30 Jul 2026, 05:44 UTC≈3,530 views166 reactionsread 8 August 2026
Photo

📵 Вас тоже бесит, когда приложение шлет рекламные пуши, но заблокировать их нельзя, потому что часть пушей от него необходимы (доставки, коды подтверждения и тд)? Меня бесит, но клод мне эту проблему решил за 20 минут и один короткий запрос. Для меня это очередное доказательство наступившей сингулярности, которую несколько дней назад провозгласили Маск в X и Альтман в подкасте Relentless Суть такова. Я попросил cla

👍91🔥56🤯13👏4😱2

22 Jul 2026, 10:55 UTC≈4,380 views112 reactionsread 8 August 2026
Photo

Продолжаю гонять модели на самом непредвзятом агентном бенчмарке индустрии - korovany_bench (о котором ранее писал). Метрика простая: может ли модель с одного запроса запилить игру по ТЗ Кирилла, в которой можно грабить корованы. Уточнения давать нельзя В прошлый раз топовый результат показал Fable 5 - единственный кто выдал играбельную игру. Но с тех пор вышли еще две занятные модельки: Kimi K3 и GPT-5.6-Sol. Нельз

👍54😁33🔥24🤯1

21 Jul 2026, 15:06 UTC≈3,560 views79 reactionsread 8 August 2026
Video

🤖Съездил на конференцию WAIC в Шанхай и хочу поделиться одним наблюдением про роботов На выставке было около сотни стендов с роботами от десятков производителей. Я насчитал примерно 40 брендов, хотя не уверен, что обошёл всё. Плюс сотни компаний, которые делают моторы, сенсоры и манипуляторы Количество впечатляет. Качество - пока не очень Робота, которого хотелось бы забрать домой, там не было. Почти все модели оч

👍38🔥31🤯4🐳3🌚2😁1

4 Jul 2026, 15:01 UTC≈5,670 views128 reactionsread 8 August 2026

🎤 Выступил на Agentic Dev Conf с докладом "Скиллы вместо функций - как агенты учатся и сами улучшают свои навыки" Главная мысль - новый взгляд на память AI-агентов. Я пришел к выводу, что скиллы стоит хранить вместе с данными, с которыми они работают, в виде git-репозитария. А если добавить к ним алгоритм автоулучшения и оптимизации скилла (в Hermes это Curator), то такая система начинает работать как новая память -

🔥71👍40👏15🌚1🐳1

4 Jul 2026, 15:00 UTC≈4,150 views28 reactionsread 8 August 2026
File

File, posted without a caption

👍17👏6🔥5

23 Jun 2026, 14:07 UTC≈14,900 views145 reactionsread 8 August 2026
Photo

🧬AI + генетика - как я сделал своего личного генетического консультанта Несколько лет назад я сдал популярный генетический тест (~700 тысяч самых распространенных вариантов), супруга сделала секвенирование экзома (белок-кодирующая часть, ~1-2% генома, где сидит большинство известных мутаций), а дочке сделали полное секвенирование ДНК. Короче данных набралось много и встал вопрос - можно ли их использовать для чего-т

🔥89🤯24👍20😁4🐳3👏2🌚1🤬1

17 Jun 2026, 15:09 UTC≈3,830 views43 reactionsread 8 August 2026

🤖Продолжаю тему роботехники. Обычно я пропускаю корпоративные хакатоны, потому что там чаще всего или жесткий vendor lock или конкурс красоты среди презентаций. Но на днях глаз зацепился за Робозон от Ozon Tech, буду участвовать В индустрии сложился опасный тренд - под роботизацией всё чаще понимают написание софта для демультиплексора или системы визуального контроля. Это только верхушка. Самое интересное живёт на

🔥22👍12👏7🌚2

16 Jun 2026, 12:14 UTC≈3,240 views68 reactionsread 8 August 2026
Video

🤖 Отпускной пост про DIY роботов. Год назад я писал про VLA и предсказываал, что рано или поздно появится универсальный водитель роботов: ИИ, который умеет управлять любым роботм вне зависимости от их конструкции (тот пост). По моим прикидкам появление такой модели будет для роботехники тем же, чем стало появление больших языковых моделей для NLP Уже тогда было понятно, что одной моделью не обойтись. Роботу, как и ч

🔥45👍13👏8🐳2

10 Jun 2026, 07:44 UTC≈4,760 views84 reactionsread 8 August 2026
Photo

Когда выходит новая модель - традиционно проверяю ее на всяких смешных и дурацких промптах. Один из них - ТЗ из известного мема, где мальчик Кирилл джва года ждет игру, в которой можно грабить корованы Для тех кто уже не помнит таких древних мемов, привожу полный текст ТЗ от Кирилла: Здраствуйте. Я, Кирилл. Хотел бы чтобы вы сделали игру, 3Д-экшон суть такова... Пользователь может играть лесными эльфами, охраной дв

👍36😁32🔥14🐳2

27 May 2026, 15:03 UTC≈14,100 views99 reactionsread 8 August 2026

Вчера выступал на DataFest с докладом «Что такое harness и Ralph Loop» - за 23 минуты рассказал, что это за новый тип агентов, как они устроены и какие с ними можно делать прикольные вещи. Запись уже на YouTube Важный дисклеймер про сам термин Слово harness🐴 пока не устоялось. Формально им можно назвать любого AI-агента, само слово переводится как "упряжка" для LLM (то есть любая обвязка вокруг модели, которая помо

👍58🔥30👏7🐳4

Showing the 12 most recent of 18 posts we hold for @robofuture. 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 — 167,944 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.

Forward network

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 7 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.

Names

Channels on the register whose handles appear in this channel's posts.

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

“RoboFuture” (@robofuture), 4,309 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/robofuture.

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.