4 measurements spanning 13 days, net +30. 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 13–52 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
29 Oct 2026, 09:36
47
+12
23 Oct 2026, 07:35
35
+15
16 Oct 2026, 21:28
20
+3
16 Oct 2026, 19:22
17
first reading
Engagement
8 posts held, back to 22 September 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 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
75.9%
avg views ÷ 47 subscribers
Avg views / post
35.7
3 posts measured
Reaction rate
6.06%
reactions ÷ views · ER floor
Posts in window
3
of 8 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. It is computed over the 1 of 3 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 16 October 2026
Posts held
8 (22 September 2026 – 16 October 2026)
Views total
107
Reactions total
2
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
16 Oct 2026, 19:22 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
2m 09s
Average length
43s
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
6 reactions across 3 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
6
100.0%
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 3 of the 8 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 22 September 2026 to 16 October 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
Telegram’s own ‘edited’ marker: 1 of 3 posts held from the last 30 days (33.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Дашборд в Claude Code
Сделал борд Loan Retention в новом артефакте Dashboard. Несколько мыслей
Итерироваться в нем сильно быстрее, чем в BI-инструменте – графики, лейаут, цвета, верстка
HTML, D3.js, CSS дают максимальный простор творчеству
Процентов 90 работы над версией в Tableau тоже сделал клод код, Opus 5.5 с усилием xhigh затащил, пару месяцев назад выходило хуже и дольше
Дашбординг и BI-ка уже не будут пре…
Моя схема работы с агентами
Напомню, агент – это сессия Claude Code
У меня одна схема работы с агентами на все проекты, и лежит она в глобальном клод мд. Если коротко: проектный клод мд хранит цель проекта, в плане ведутся задачи, а скилл чекпоинт подытоживает кусок работы, чтобы ничего не потерялось
А если подробнее:
Глобальный клод мд (~/.claude/CLAUDE.md) – там описана эта схема работы. Агент видит его в любом…
Из чего собран мой агент в Claude Code
(или некликбейтно 👉 Как настроил свой Claude Code)
Вся настройка Claude Code – это несколько текстовых файлов. Часть – глобальные, лежат в ~/.claude/, часть проектные – your-project/ и your-project/.claude/. Почти все – мдшки, то есть файлы в формате markdown. Агент читает их и применяет на разных этапах как инструкции. Это часть того, что принято называть контекстом
ГЛАВНОЕ
…
Убрал всё лишнее, оставил только Claude Code
Я обычный бизнес-юзер: в код не лезу, держусь смыслов, всю техническую работу стараюсь отдавать агенту. С таким запросом я и пошёл разбираться, что такое агенты и как с ними работать
В интернете море источников – ютуб, курсы, блоги, посты в соцсетях. И море базвордов: скиллы, лупы, оркестрация... Из-за этого агенты быстро начинают выглядеть как сложная магическая система…
Всем хеллоу! Тимур на связи. Мой бэкграунд → LinkedIn
Пишу про ИИ ангентов – что это, как с ними работать, как использую сам. Увлечен, учусь рассказывать про это просто
Больше ничего не хочу делать руками – хочу превратиться в Тони Старка
Showing the 8 most recent of 8 posts we hold for @plsnohands. 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.
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 29 October 2026 — this
entry's latest reading, not the date you are reading this.
“Руками не трогать” (@plsnohands), 47 subscribers as measured 29 October 2026. Telegram Register, tgregister.com/channel/plsnohands.
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.