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Telegram profile photo for Kali Novskaya

Channel

Kali Novskaya

@rybolos_channel

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

19,001subscribers

+95 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001568817860
TypeChannel
Username@rybolos_channel
Created11 March 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live19 August 2026
Measurements held14
Confirmed unchanged1 time, most recently 19 August 2026
On Telegramt.me/rybolos_channel

Growth

18,90619,00818,9575 August 2026 — 18,906 subscribers6 August 2026 — 18,906 subscribers7 August 2026 — 18,909 subscribers8 August 2026 — 18,907 subscribers9 August 2026 — 18,915 subscribers10 August 2026 — 18,918 subscribers11 August 2026 — 18,977 subscribers11 August 2026 — 18,988 subscribers12 August 2026 — 18,995 subscribers14 August 2026 — 18,999 subscribers15 August 2026 — 19,003 subscribers16 August 2026 — 19,004 subscribers18 August 2026 — 19,008 subscribers19 August 2026 — 19,001 subscribers19,0015 August 202619 August 2026
14 measurements spanning 13 days, net +95. 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 18,891–19,023 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Aug 2026, 02:4519,001-7
18 Aug 2026, 00:1219,008+4
16 Aug 2026, 22:3419,004+1
15 Aug 2026, 19:0619,003+4
14 Aug 2026, 09:1518,999+4
12 Aug 2026, 22:4818,995+7
11 Aug 2026, 23:5618,988+11
11 Aug 2026, 02:4418,977+59
10 Aug 2026, 04:1318,918+3
9 Aug 2026, 05:0618,915+8
8 Aug 2026, 03:1518,907-2
7 Aug 2026, 05:2118,909+3
6 Aug 2026, 02:1518,906no change
5 Aug 2026, 22:0618,906first reading

Engagement

12 posts held, back to 26 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 26 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
38.6%
avg views ÷ 19,001 subscribers
Avg views / post
7,340
7 posts measured
Reaction rate
1.18%
reactions ÷ views · ER floor
Posts in window
7
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 10 August 2026
Posts held12 (26 June 202610 August 2026)
Views total51,390
Reactions total604
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 16:29 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

1,722 reactions across 12 posts, in 27 distinct kinds. The most used accounts for 31.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
53431.0%
🔥50829.5%
custom 535263053626528172531418.2%
😁1237.14%
👍945.46%
🎉261.51%
🤡231.34%
custom 5469839764276388025160.929%
❤‍🔥160.929%
💯130.755%
👏120.697%
👎100.581%
💅90.523%
😈60.348%
😍40.232%
🍓20.116%
😢20.116%
🌚10.058%
🌭10.058%
👀10.058%
7 further kinds70.407%

Custom emoji. 2 of the rows above are 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 counts beside them areTelegram’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 12 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 1,722reactions 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 26 June 2026 to 10 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
29
across the posts below
Posts paid on
5
of 12 we hold a reading for · 42%
Most on one post
13
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @rybolos_channel. 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 12 most recent posts we hold for this entry, published 26 June 2026 to 10 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.

Recent posts

10 Aug 2026, 15:58 UTC≈4,560 views49 reactionsread 18 August 2026

🟣Ollama тоже вышла https://ollama.com/blog/muse-glimmer https://ollama.com/library/muse-glimmer

🔥298custom 53526305362652817258🎉2🤡2

10 Aug 2026, 15:45 UTC≈4,480 views24 reactionsread 18 August 2026

Ещё больше рецептов подвезли: 🟣NVidia blog про модель: https://developer.nvidia.com/blog/run-local-agentic-ai-workflows-with-metas-muse-glimmer-on-nvidia/ 🟣NVidia NIM контейнер: https://catalog.ngc.nvidia.com/orgs/nim/meta/containers/muse-glimmer/- 🟣VLLM inference https://recipes.vllm.ai/meta-models/Muse-Glimmer-30B 🟣SGlang inference https://docs.sglang.io/cookbook/autoregressive/Meta/MuseGlimmer 🟣AMD + LM Studio

12👍5custom 53526305362652817255🔥1🥴1

10 Aug 2026, 13:23 UTC≈4,950 views34 reactionsread 18 August 2026

🟣Unsloth Вышла квантизация Unsloth https://huggingface.co/unsloth/Muse-Glimmer-30B https://huggingface.co/unsloth/Muse-Glimmer-30B-GGUF И подробный гайд https://unsloth.ai/docs/models/muse-glimmer 🟣MLX MLX — тут будут версии fp4, 8bit и другие https://huggingface.co/models?other=base_model:finetune:meta-models/Muse-Glimmer-30B

🔥26custom 53526305362652817256👍2

10 Aug 2026, 12:30 UTC≈5,080 views50 reactionsread 18 August 2026
Photo

Обещают большую модель (Muse Spark 1.2, с которой дистиллили) тоже выложить

custom 53526305362652817251918❤‍🔥8🔥5

10 Aug 2026, 12:18 UTC≈5,250 views60 reactionsread 18 August 2026

Сделали Muse Glimmer лендинг и коллекцию на HF — теперь отдельно лежат 🟣30B — основная модель, посттрен веса 🟣30B assistant — голова для спек декодинга 🟣GGuf для llama.cpp 🟣Executorch PTE веса Выкатили Executorch документацию 🥹😈

🔥40custom 535263053626528172512👍6🤡1custom 54698397642763880251

10 Aug 2026, 11:29 UTC≈18,400 views223 reactions13 Starsread 18 August 2026
Photo

🌸Релизим Muse Glimmer 30B 🌸 Впервые за долгое время, наконец-то релизим большой командой новую открытую LLM от Meta Superintelligence Labs. Веса под Apache 2.0! 🌸Что это за модель: — 30B dense модель, дистиллированная версия Muse Spark для локального инференса на 1 GPU — юз-кейсы: OpenClaw, MCP, и агентные тулзы — общие способности (ризонинг, знания, кодинг) тоже на высоком уровне для модели такого размера. — о

112🔥70custom 535263053626528172522👍13👏4🌚1😱1

24 Jul 2026, 11:02 UTC≈8,670 views164 reactionsread 18 August 2026
Photo

Для борьбы с выгоранием — пятничный мемотред! #шитпост

101custom 535263053626528172539👍11😍4❤‍🔥3🍓2👎2🤡2

11 Jul 2026, 11:52 UTC≈11,500 views519 reactions12 Starsread 18 August 2026
Photo

У меня на этой неделе был юбилей — два года в компании. Было 100500 сокращений и реоргов, перестала считать. Пришла в LLama, сейчас я в Meta SuperIntelligence Labs занимаюсь рисерч-агентами. По статистике, два года — это рубеж 50%: половина людей в компании меньше этого срока, а половина больше. Многие приходят и уходят быстро, и чем выше левел, тем выше вероятность отвалиться в первый год. Но если не уволился за п

🔥32188custom 535263053626528172551🎉24💅9👏8❤‍🔥5😁5

9 Jul 2026, 14:30 UTC≈10,500 views149 reactions2 Starsread 18 August 2026

Илья мб и грубовато написал, но в целом весь ML опен сорс держится на людях, которые бесплатно трудятся и берут на себя такие огромные риски. Если каждый ресурс будет кошмарить авторов датасетов, никаких открытых LLM не будет. Удивительно это видеть от Хабра. Американское же прецедентное право в этом смысле очень явно выразилось: это Fair use.

102custom 535263053626528172524💯10🔥6👍4👎1🤡1🥰1

9 Jul 2026, 13:18 UTC≈7,520 views182 reactionsread 18 August 2026
Forwarded from @senior_augurPhoto

Вот такую писюльку получил 5 минут назад. Нахуй Хабр. Не пишите туда, не читайте его. Датасет я не закрою, пока они не соизволят написать нормальное письмо. После этого сделаю приватным, если кому-то будет нужен - пишите в личку. А лучше скачайте сейчас.

custom 535263053626528172510428🤡17custom 546983976427638802512👍7👎7💯3😈3

8 Jul 2026, 10:47 UTC≈8,920 views79 reactions1 Starread 10 August 2026
Photo

🌸Harness Engineering for Recursive Self-improvement🌸 #nlp #про_nlp Отличный обзор на все текущие работы о self-improving scaffolds 🟣https://lilianweng.github.io/posts/2026-07-04-harness/

👍4225custom 53526305362652817254custom 54698397642763880253😢2🔥1🤪1😭1

26 Jun 2026, 12:37 UTC≈10,900 views189 reactions1 Starread 10 August 2026
Photo

Пятница! Нужен мемотред #шитпост

😁11840custom 535263053626528172520🔥9🤔1🙏1

Showing the 12 most recent of 12 posts we hold for @rybolos_channel. 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 — 27,562 of 1,550,220entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 8 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

эйай ньюз
@ai_newz · 96,087
Telegram ranks this channel #6 of 94 here — alongside 93 others — read 16 August 2026
Denis Sexy IT 🤖
@denissexy · 135,038
Telegram ranks this channel #15 of 95 here — alongside 94 others — read 13 August 2026
Data Secrets
@data_secrets · 92,255
Telegram ranks this channel #21 of 98 here — alongside 97 others — read 17 August 2026
Силиконовый Мешок
@prompt_design · 81,825
Telegram ranks this channel #32 of 96 here — alongside 95 others — read 18 August 2026
Machinelearning
@ai_machinelearning_big_data · 285,103
Telegram ranks this channel #68 of 95 here — alongside 94 others — read 10 August 2026
RationalAnswer | Павел Комаровский
@RationalAnswer · 105,505
Telegram ranks this channel #85 of 98 here — alongside 97 others — read 15 August 2026
XOR
@xor_journal · 152,316
Telegram ranks this channel #85 of 93 here — alongside 92 others — read 12 August 2026

This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“Kali Novskaya” (@rybolos_channel), 19,001 subscribers as measured 19 August 2026. Telegram Register, tgregister.com/channel/rybolos_channel.

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.