5 measurements spanning 6 days, net +4. 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 6,113–6,120 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 01:57
6,119
+1
9 Aug 2026, 01:11
6,118
+4
6 Aug 2026, 04:51
6,114
-1
6 Aug 2026, 03:22
6,115
no change
6 Aug 2026, 02:51
6,115
first reading
Engagement
21 posts held, back to 30 May 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 9 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
56.7%
avg views ÷ 6,119 subscribers
Avg views / post
3,470
6 posts measured
Reaction rate
2.25%
reactions ÷ views · ER floor
Posts in window
6
of 21 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 11 August 2026
Posts held
21 (30 May 2026 – 11 August 2026)
Views total
20,827
Reactions total
468
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 03:31 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.
What this channel posts
Photos
468
Videos
95
Links
553
Lifetime counters from Telegram’s own channel header, read 12 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.
Reaction mix
1,361 reactions across 21 posts, in 20 distinct kinds. The most used accounts for 38.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
521
38.3%
❤
271
19.9%
🔥
231
17.0%
💯
99
7.27%
😁
93
6.83%
🤣
79
5.80%
🤔
11
0.808%
🤡
11
0.808%
💩
9
0.661%
🦄
9
0.661%
❤🔥
5
0.367%
😐
5
0.367%
custom 6325762240255362536
4
0.294%
☃
3
0.22%
👎
3
0.22%
⚡
2
0.147%
👀
2
0.147%
👏
1
0.073%
🙏
1
0.073%
🤝
1
0.073%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
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 21 of the 21 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 1,361reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 30 May 2026 to 11 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.
Telegram Stars
Stars received
62
across the posts below
Posts paid on
10
of 21 we hold a reading for · 48%
Most on one post
24
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @chillhousetech. 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 21 most recent posts we hold for this entry, published 30 May 2026 to 11 August 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.
Короче rage bait пост. Про бизнес, предпринимателей, венчур и «взрослую индустрию tech».
TLDR: венчуру в его текущем виде конец, будут только большие раунды, предприниматели прошлого цикла (а-ля инстаграм кофаундеры) потеряли свою ценность, их опыт не нужен.
А теперь по порядку. Мы находимся у порога технологического цикла. Входного порога конечно. AI такая штука которая срезает все «среднее», «ну такое» и прочее н…
Наблюдения последних недель.
1/ есть два лагеря о том, как достичь AGI - это у нас rsi (recursive self improvement) и world models. Первый представляют Anthropic & OpenAI. Второй Google DeepMind. И из-за того что лидер дипмайнда не верит в то, что опенаи получается надо и то и другое делать и поэтому так все медленно. Короче корпоративное опоздание. Но чья ставка сыграет не ясно никому.
2/ в Китай возвращаются те, …
Давно, не делал. Когда-то в канале было, в начале времен. Вообщем AMA или ask me anything (спроси что угодно). Закидывайте в комментах. Постараюсь по возможности ответить.
Воскресное.
По теме нетворка. В целом все просто. Если с вами не хотят говорить значит вы делаете что-то, что другому человеку не интересно. Объяснять, убеждать, обижаться просто бесполезно.
В долине это легко и быстро заметить. Да и в целом это нормально. Второй способ находить людей - иметь трек рекорд, про который людям интересно узнать (оттуда корпоративная работа в хорошей компании является прекрасным стартом).
Все блин. …
У меня есть такой противоречивый довод один. Вообщем про предпринимателей и бизнес. Практически каждый «эксперт» последние десять лет продавал: насмотренность, софт скилы, кругозор и прочую муть. И всегда говорилось «мол не обязательно прям знать вот детали, главное умение видеть куда бежать». Так вот аи мне кажется темку то поменяет. Невозможно теперь и в будущем будет знать куда бежать, если ты прям не супер глубок…
Тут вышли Kimi k3 и вот сейчас выходит новый Qwen 3.8 max, который тоже будет ака «fable class model». В интернетах будет туча отзывов, мол смотрите модель умеет все что умеют большие лабы. Попробуем чуть чуть под другим углом посмотреть. Так как релизы очень важные, но смысл иной.
За долгие годы мы увидели, что китайцы догоняют западные модели. В основном скупают трейсы и данные «типа дистиллят». Надо понимать что …
Ну что ж, вот и наш первый релиз на архив.
we achieve a 4.37-fold speedup over autoregressive decoding, and outperform a highly optimized DFlash baseline by 24.7%
Это спекулятивный декодинг. SOTA(ну на qwen3.6 точно). Бьем все, что есть известного в паблике (ну dflash). Супер важная тема для быстрого инференса на устройстве, особенно когда понимаешь задачу.
GitHub
HF
Поддержка в нашем инференс движке скоро доедет
У кофаундера thinking machines Lilian Weng всегда интересные посты. На этот раз про то как делать харнесы или обвязки/среду для работы моделей для решения определенных задач.
Я бы сказал, что очень важный пункт, который очень часто отсутствует у «на коленке» харнесов это вот такая штука:
The design should be deliberately simple and generic to enable generalization, likely with reference to existing software enginee…
Заметки с полей. Мы используем кодинг агентов для всяких задач. Но именно end2end для экспериментов, поглядеть что к чему (там переписать тестовый апп с электрона на rust и тому подобное).
Так вот у меня сложилось впечатление, что fable от Anthropic это первая модель, которую надо уже думать куда натравлять. Иначе это оооочень дорого. То есть просто для себя повайбить эта штука не подходит. И мы приходим к простой м…
Свежий тренд в долине. Вдруг (интересно почему же) многие осознали, что затраты на токены антропика и опенаи слишком высокие и может можно как-то уменьшить. И у гениальных людей появилась идея заделать тонну стартапов по посттрейну сеток на данных компании итд. Подняли 200м даже (конечно напишут красиво обо всем и вся что будет там как продукт).
В целом идея неплохая для Энтерпрайза. При наличии хорошей команды можн…
Помните спрашивали про децентрализованный инференс и все такое. Так сказать пища для размышления:
- вот так выглядит нормальный стек, как думаете реально заставить игроков поставить так сказать?
- в чем принципиальное отличие от обычной клауд инфры с OSs моделями? (OpenRouter?)
- ах да инференс сам по себе должен идти вместе с другими тоннами фичей
- если модели мелкие что их может хостить обычный чувак, то это значи…
💯16👍6😁3
Signed Alexey Moiseenkov
Showing the 12 most recent of 21 posts we hold for @chillhousetech. 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.
Мне закинули идею, что я могу записывать миниподкасты в виде голосовых сообщений на 2-4 минуты. Сойдет как формат?
Да37%
Ну такое, не люблю голосовые34%
Пофиг12%
Да, но плиз не часто19%
🥳14%
The shares total 116%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 21 most recent posts we hold, published 30 May 2026 to 11 August 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.
Citation-graph rank
Citation-graph rank — 41,692 of 1,340,412entries 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
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 4 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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“ChillHouse” (@chillhousetech), 6,119 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/chillhousetech.
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.
