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 373–375 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 06:18
374
no change
7 Aug 2026, 13:30
374
first reading
Engagement
13 posts held, back to 8 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
98.9%
avg views ÷ 374 subscribers
Avg views / post
370
1 post measured
Reaction rate
10.0%
reactions ÷ views · ER floor
Posts in window
1
of 13 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 27 July 2026
Posts held
13 (8 May 2026 – 27 July 2026)
Views total
370
Reactions total
37
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 06:18 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
6
Videos
3
Links
7
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
1m 28s
Average length
29s
Measured directly from 3 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
130 reactions across 9 posts, in 7 distinct kinds. The most used accounts for 61.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
80
61.5%
❤
23
17.7%
👍
13
10.0%
😁
8
6.15%
⚡
2
1.54%
👎
2
1.54%
🤓
2
1.54%
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 9 of the 13 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 130reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 8 May 2026 to 27 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.
Рубрика «я сделяль» 👦
Навайбил с 5.6 sol адаптивную подсветку для своей rgb ленты, которая синронизируется с сессиями в codex.
🔍Белый свет по кругу - активная сессия
🔍Жёлтый свет с эффектом дыхания - требуется действие
🔍 Зелёная вспышка - задача завершена
Сделал в основном по фану, но практическое применение тоже есть - можно лёжа на диване видеть краем глаза, закончилась ли сессия :D
🧑💻 OpenAI тут раскатили новую фичу для Codex: "банк" сбросов лимитов
Как работает:
🔍Plus и Pro подписчики получают 1 бесплатный сброс
🔍Вы можете поделиться своей реферальной ссылкой с 11 по 24 июня с 3-мя людьми, получив +3 бесплатных сброса
🔍Сбросы можно использовать в течении 30 дней
Вышел Claude Fable 5 🎉
🔍Самая сильная модель Anthropic из доступных
🔍В 2 раза (!) дороже Опуса
🔍На Pro/Max/Team/Enterprise включена до 22 июня
🔍С 23 июня будет доступна через usage credits (не в подписке!) 😂
Главный нюанс: на чувствительных темах вроде cybersecurity, biology/chemistry или при дистилляции модель будет автоматически переключаться на Opus 4.8 👦
https://www.anthropic.com/news/claude-fable-5-mythos-5
Вышел Opus 4.8 🎉
🔍Новый effort по умолчанию = high (а не xhigh, как было с Opus 4.7)
🔍Fast режим в 3 раза дешевле чем в прошлых моделях
🔍Цена за токены не изменилась
По обещаниям, должна "в 4 раза реже пропускать собственные ошибки", чтобы это ни значило 👀
https://www.anthropic.com/news/claude-opus-4-8
Сделал небольшой плагин, чтобы следить за просадками качества моделей прямо из терминала 🦄
🔍Поддерживает Codex CLI и Claude Code 🧑💻🦀
🔍Полностью локально
🔍Не тратит токены
https://github.com/Verce11o/model-degradation-tracker
Нашёл полезный сервис: Margin Evals Degradation Trackers.
Там ежедневно прогоняют 🎉 Claude Code и 🧑💻 Codex на выборке из SWE-Bench-Pro и, помимо pass rate, отслеживают input/output tokens, runtime и количество tool calls.
🔍Важная деталь: запуски идут напрямую через актуальные Claude Code CLI / Codex CLI, без кастомного harness, поэтому метрика ближе к тому, что реально получает пользователь. Если просадка случится…
День новостей сегодня 🍒
🔍Anthropic увеличивают недельные лимиты до 13 июля
🔍В ответ Альтман дарит 2 месяца использования codex для компаний
🔍Anthropic реализнули свою команду /goal, про которую я писал ранее как одну из фич codex
Ждём agent view в codex 😂
Anthropic начнут выдавать ежемесячные кредиты, равной плану самой подписки.
Если сидите на плане за $100, то каждый месяц будете получать по $100 которые можно потратить на SDK usage (claude -p) или другие ништяки 🎉
🔸 Slopus 4.7 или почему я убежал в Codex 🧑💻
В последнее время, думаю, как и абсолютно все, я заметил сильное ухудшение как и качества моделей Anthropic, так и их политику лимитов. (а с недавнего времени - ещё и баны аккаунтов).
Однако даже с такой очень сильной просадкой в dev-experience, я продолжал сидеть на игле под названием Opus 4.7. Утешал я себя тем, что думал что пользуюсь самым лучшим из того, что предлага…
🔥18👍6⚡2
Showing the 12 most recent of 13 posts we hold for @vercello_notes. 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 — 396,397 of 1,481,306entries 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
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 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“notes of v” (@vercello_notes), 374 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/vercello_notes.
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.