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Channel

Teamlead Good Reads – ежедневные советы про менеджмент людей и команд

@leadgr

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

28,316subscribers

-107 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001232913006
TypeChannel
Username@leadgr
DescriptionСамые интересные статьи, видео и новости, связанные с управлением людьми, командами, разработкой и продуктами. РКН: https://gosuslugi.ru/snet/67b4386d2a44e21839a0f87f Продуктовая папка: https://t.me/addlist/YvmnHCHUp700Nzky Реклама: @tanyasanovna
Created9 December 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live22 August 2026
Measurements held16
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/leadgr

Growth

28,31628,42328,369.56 August 2026 — 28,423 subscribers6 August 2026 — 28,417 subscribers7 August 2026 — 28,405 subscribers8 August 2026 — 28,397 subscribers9 August 2026 — 28,395 subscribers10 August 2026 — 28,389 subscribers11 August 2026 — 28,376 subscribers12 August 2026 — 28,366 subscribers13 August 2026 — 28,357 subscribers15 August 2026 — 28,351 subscribers16 August 2026 — 28,350 subscribers17 August 2026 — 28,344 subscribers18 August 2026 — 28,342 subscribers19 August 2026 — 28,335 subscribers20 August 2026 — 28,329 subscribers22 August 2026 — 28,316 subscribers6 August 202622 August 2026
16 measurements spanning 16 days, net -107. 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 28,300–28,439 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 08:1628,316-13
20 Aug 2026, 20:4728,329-6
19 Aug 2026, 19:3328,335-7
18 Aug 2026, 19:0628,342-2
17 Aug 2026, 19:0328,344-6
16 Aug 2026, 18:0528,350-1
15 Aug 2026, 02:0528,351-6
13 Aug 2026, 15:3728,357-9
12 Aug 2026, 17:1328,366-10
11 Aug 2026, 15:5228,376-13
10 Aug 2026, 18:1628,389-6
9 Aug 2026, 19:5128,395-2
8 Aug 2026, 16:5328,397-8
7 Aug 2026, 19:2428,405-12
6 Aug 2026, 18:1328,417-6
6 Aug 2026, 06:0228,423first reading

Engagement

37 posts held, back to 16 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 35 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.5%
avg views ÷ 28,316 subscribers
Avg views / post
5,510
29 posts measured
Reaction rate
0.711%
reactions ÷ views · ER floor
Posts in window
29
of 37 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 21 August 2026
Posts held37 (16 July 202621 August 2026)
Views total159,720
Reactions total1,136
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 18:25 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
371
Videos
6
Links
1,860

Lifetime counters from Telegram’s own channel header, read 22 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
56s
Average length
28s

Measured directly from 2 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

1,261 reactions across 34 posts, in 4 distinct kinds. The most used accounts for 40.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍51140.5%
👎28122.3%
24919.7%
🔥22017.4%

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 37 of the 37 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 1,330reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 37 most recent posts we hold, published 16 July 2026 to 21 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
5
across the posts below
Posts paid on
2
of 37 we hold a reading for · 5%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @leadgr. 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 37 most recent posts we hold for this entry, published 16 July 2026 to 21 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.

Advertising

Ad load
13.5%
5 of 37 posts carry an ad marker
Regulatory tokens
5
posts carrying an erid · 5 distinct tokens
Median views · ads
5,820
over 5 measured posts
Median views · rest
5,770
over 32 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2SDnjcsadbZ15 August 20265 August 2026
2VSb5w4uqrS117 August 202617 August 2026
2Vtzqug4oJi123 July 202623 July 2026
2Vtzquo2GYz14 August 20264 August 2026
2Vtzqv2b9Uf113 August 202613 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 37 most recent posts we hold, published 16 July 2026 to 21 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

21 Aug 2026, 16:00 UTC≈2,620 views19 reactionsread 22 August 2026

Книга Александра Орлова про конфликты в открытом доступе Книгу Александра Орлова про конструктивные конфликты я советовал еще в далеком 2022 году. Рекомендация с тех пор не изменилась – это очень дельная книга, которая поможет вам разобраться, как жить со всех сторон рабочего конфликта. Ну а самое классное – она очень прикладная, и кейсы вытащены прямо из нашей с вами реальности. Так вот, книгу сейчас выложили в от

13🔥6

21 Aug 2026, 11:09 UTC≈3,080 views6 reactionsread 22 August 2026
Video

Собираем бэкенд-комьюнити на JVM Day Бэкендеры, 29 августа в Москве пройдет конференция, где соберутся Java-, Scala- и Kotlin-разработчики, архитекторы и тимлиды. На конференции разберут: 🔴Актуальные тренды JVM — Loom, конкурентность, автоматизацию миграций и связанные ограничения 🔴Реальные кейсы внедрения с разбором ошибок, которые мешают довести прототип до production‑уровня 🔴Подходы к конкурентности в Java после

4👍1🔥1

20 Aug 2026, 06:05 UTC≈3,740 views76 reactionsread 22 August 2026

Почему менеджерам проще работать с агентами Один из любимых аргументов AI-скептиков, который даже в нашем канале часто появляется в комментариях – "ну как же мы можем доверять агенту без того, чтобы читать весь его код – он же может ошибиться, или сделать вообще не то". У работы с живыми людьми проблемы точно такие же. Они забывают про условия задачи, совершают ошибки, ленятся, говорят неправду. И любой начинающий м

👍42👎18🔥97

Signed Egor Tolstoy

19 Aug 2026, 06:01 UTC≈4,120 views50 reactionsread 22 August 2026

Как не разучиться думать Рабочие дни инженеров превращаются из длинных периодов напряженного думания над одной конкретной проблемоц в ADHDшное переключение между пятью разными сессиями и попытки вычленить из длинных сообщений, сгенерированных AI, крупицы смысла. Так как такого слопа читать приходится много, все вырабатывают свои собственные техники того, на каких кусках этих текстов сосредоточиться, а какие просмотр

29👍20👎1

Signed Egor Tolstoy

18 Aug 2026, 06:01 UTC≈4,330 views49 reactionsread 22 August 2026
Photo

Держите идеальный пример того, как надо отвечать на вопросы сотрудников во время All Hands. Немного контекста – Meta Days это дополнительные выходные дни для всей компании, которые ввели во время ковида, а потом отменили. И вот время последнего All Hands у CTO спросили, вернут ли их обратно.

👎42👍61

Signed Egor Tolstoy

17 Aug 2026, 11:04 UTC≈4,330 views5 reactionsread 22 August 2026
Advertisementerid 2VSb5w4uqrSPhoto

Запросы от команд редко бывают одинаковыми. Кому-то важно быстро закрыть пробел в знаниях, кому-то — подготовить специалиста к более сложным задачам. 🎯 В Нетологии можно выбрать готовые программы из каталога под конкретную цель: - для карьерного роста — расширенные курсы и профессии; - для освоения новых инструментов — короткие прикладные программы; - для перехода на новую роль — обучение с нуля. Всего доступно 20

👍21👎1🔥1

17 Aug 2026, 06:03 UTC≈4,410 views42 reactionsread 22 August 2026

Как правильно вписаться в систему промоушнов Держите байку из мира FAANG про то, как прийти к успеху. Следите за пальцами: 👉Промо основаны на сложности задач, скоупе, независимости и лидерстве. По внутренним правилам, нельзя промоутить людей чаще, чем раз в два года. Поэтому несколько следующих циклов после повышения бесполезны. 👉Один менеджер организовал все так, чтобы на каждом полугодовом цикле 25% его команды п

🔥29👍75👎1

Signed Egor Tolstoy

14 Aug 2026, 06:03 UTC≈5,340 views38 reactionsread 22 August 2026

Про принцип антитезиса Мы стали как-то очень редко вспоминать Канемана и его монументальный труд по изучению когнитивных искажений – хотя я каждый день вижу, как многие из них получают новое лицо во взаимодействиях людей и AI. Но речь не об этом. Так вот, со знанием когнитивных искажений можно делать две вещи: 1️⃣Использовать его, чтобы выстраивать свою тактику работы с людьми. Если вы можете предсказывать, как он

👍26🔥65👎1

Signed Egor Tolstoy

13 Aug 2026, 11:02 UTC≈5,390 views26 reactionsread 22 August 2026
Advertisementerid 2Vtzqv2b9UfVideo

Записали у себя в календарях и вам советуем — Авито вернулся с традиционной конфой Avito.Tech.Conf для лидов и всех, кто управляет продуктами, людьми и процессами в IT. В программе: классика формата — доклады, воркшопы, мастермайнды, а также продуманные зоны, чтобы переключиться, узнать новое и пообщаться. Расписание ещё будет обновляться, но вот что мы уже знаем точно: будут обсуждать и AI-агентов, и изменения PDLС

👎14🔥54👍3

13 Aug 2026, 06:01 UTC≈6,110 views54 reactionsread 22 August 2026

Не будьте мясным прокси Я нашел свое новое любимое выражение – meat proxy, которым можно называть человека, который просто бездумно копирует сообщения от AI, не вкладывая туда ни ту самую экспертизу, ни просто хоть сколько-то своего внимания. Среди разработчиков есть свой вид митпроксинга: 👉Отправить ссылку на задачу агенту без лишних слов 👉Не читая ни спеку, ни код, отправить на ревью 👉Скопировать комментарии аге

👍4013👎1

Signed Egor Tolstoy

12 Aug 2026, 06:05 UTC≈5,570 views36 reactionsread 22 August 2026

LLM вознаграждают экспертизу Все мы используем одни и те же модели, и по умолчанию получаем одни и те же усредненные ответы. Чтобы добиться от модели действительно качественного результата, нужно знать, в какую сторону ее запушить, какие ответы принимать, за какие идеи зацепиться. А именно это и требует глубокой экспертизы в вопросе. Например, не зная хорошо своей кодовой базы, вы не сможете оценить, насколько пред

👍296👎1

Signed Egor Tolstoy

11 Aug 2026, 06:04 UTC≈6,090 views122 reactionsread 22 August 2026
Photo

Было?

🔥9526👎1

Signed Egor Tolstoy

Showing the 12 most recent of 37 posts we hold for @leadgr. 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 — 339,999 of 1,583,249entries 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 2 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.

Психология
@PsyEducation · 59,574
Telegram ranks this channel #70 of 95 here — alongside 94 others — read 22 August 2026
RationalAnswer | Павел Комаровский
@RationalAnswer · 105,436
Telegram ranks this channel #75 of 98 here — alongside 97 others — read 15 August 2026

This channel appears in 2 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 22 August 2026 — this entry's latest reading, not the date you are reading this.

“Teamlead Good Reads – ежедневные советы про менеджмент людей и команд” (@leadgr), 28,316 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/leadgr.

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.