Telegram RegisterThe public register of Telegram

Channel

Local Talent | Analyst

@local_talent_analyst

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

2,327subscribers

+22 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003609423767
TypeChannel
Username@local_talent_analyst
CreatedBetween 1 December 2025 and 15 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/local_talent_analyst

Growth

2,3052,3272,3167 August 2026 — 2,305 subscribers7 August 2026 — 2,305 subscribers7 August 2026 — 2,307 subscribers10 August 2026 — 2,311 subscribers13 August 2026 — 2,327 subscribers7 August 202613 August 2026
5 measurements spanning 6 days, net +22. 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 2,302–2,330 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 13:472,327+16
10 Aug 2026, 09:002,311+4
7 Aug 2026, 16:212,307+2
7 Aug 2026, 14:032,305no change
7 Aug 2026, 12:472,305first reading

Engagement

19 posts held, back to 15 May 2026the 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
56.4%
avg views ÷ 2,327 subscribers
Avg views / post
1,310
3 posts measured
Reaction rate
0.178%
reactions ÷ views · ER floor
Posts in window
3
of 19 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 7 August 2026
Posts held19 (15 May 20267 August 2026)
Views total3,936
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 14:03 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
1h 20m
Average length
1h 20m

Measured directly from 1 video 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

421 reactions across 18 posts, in 19 distinct kinds. The most used accounts for 22.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🥴9622.8%
👍6415.2%
🔥5914.0%
🤔4410.5%
4310.2%
🤣194.51%
🤯174.04%
😱163.80%
🤩163.80%
😭133.09%
😁92.14%
🤡71.66%
🎉40.95%
😢40.95%
💩30.713%
🤝30.713%
👎20.475%
👌10.238%
👏10.238%

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 19 of the 19 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 421reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 15 May 2026 to 7 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.

Recent posts

7 Aug 2026, 11:53 UTC516 views6 reactionsread 7 August 2026
Photo

Зарплата 240 000 у Middle Analyst (разработчик) в Яндексе Бонусы и дополнительные плюшки в компании ДМС, бюджет на обучение, оплата питания, скидки на внутренние сервисы, спортзал в офисе Как выглядит твой стандартный рабочий день? Работаю +- с 11 до 19. Могу остаться дома, могу поехать в офис (в среднем в офисе 2 дня) Встречи бывают с продактами, разработчиками по всяким задачам. В остальное время сижу делаю анали

👍2😁21🔥1

23 Jul 2026, 13:01 UTC≈1,830 views1 reactionsread 7 August 2026

🎉🎉🎉 Оффер на Системного аналитика на 345 000 - кейс нашего подписчика Формат работы: “Карьерная группа” - наша авторская программа карьерного сопровождения для ИТ и digital специалистов - 94% ИТ и digital специалистов за 3 месяца получают ТОПовые офферы в ИТ в 7 направлениях (product / project management, аналитики, разработчики, 1С, С-level позиции: СРО, РМО, СТО, СОО, ССО) от таких компаний как AVITO, Яндекс, Т-б

🔥1

10 Jul 2026, 13:49 UTC≈2,350 views23 reactionsread 7 August 2026
Photo

Зарплата 500 000 у Lead Fullstack Analyst в Сбере Бонусы и дополнительные плюшки в компании ДМС, внутреннее обучение, туры в сберуниверситет, локал спортзал Сколько часов в день в среднем занимают встречи? 1-2 часа Сколько часов в день в среднем работаешь над задачами? Не считая встреч 4-6 часов Как выглядит твой стандартный рабочий день? С утром синки с разными командами, далее разбор полетов на тему кому че дел

👍16🤔43

8 Jul 2026, 07:18 UTC≈2,210 views22 reactionsread 7 August 2026
Video

🔥 Запись эфира МОК собес на middle бизнес/ системного аналитика Вам обязательно нужно это посмотреть! Один из лучших эфиров за последнее время! Обсудили: - классические вопросы, которые с вероятностью 80% вам зададут на собесе - причем многие из этих вопросов задают и проджектам, в т.ч. в Т банке; - как сейчас проходят собесы; - как поменялся рынок труда 2026, сколько времени занимает поиск работы ; - что делать, ч

🔥96👍5🎉2

2 Jul 2026, 14:08 UTC≈2,410 views33 reactionsread 7 August 2026
Photo

Зарплата 174 000 у Middle System Analyst (Финтех продукт для ретейла) Бонусы и дополнительные плюшки в компании ДМС планируется в будущем Сколько часов в день в среднем занимают встречи? 2-4 часа Сколько часов в день в среднем работаешь над задачами? Не считая встреч 2-4 часа Как выглядит твой стандартный рабочий день? С утра дейлик - обсуждаем рабочие моменты и планы на день. Потом приступаю к рабочим задачам -

🥴17😱95🔥2

30 Jun 2026, 12:48 UTC≈2,050 views25 reactionsread 7 August 2026
Photo

Зарплата 362 000 у Senior System Analyst в Сбере Бонусы и дополнительные плюшки в компании ДМС, обучение, конференции, бесплатная подписка на сервисы сбера, спортзал, подписки на Claude code, codex и пр для рабочих задач. Сколько часов в день в среднем занимают встречи? 1-2 часа Сколько часов в день в среднем работаешь над задачами? Не считая встреч 4-6 часов Как выглядит твой стандартный рабочий день? Начало дня

👍13🤩8😢4

23 Jun 2026, 11:30 UTC≈2,380 views26 reactionsread 7 August 2026
Photo

Зарплата 275 000 у Middle Data Analyst в Magnit TECH Бонусы и дополнительные плюшки в компании ДМС, скидка 10% в Магните Сколько часов в день в среднем занимают встречи? 2-4 часа Сколько часов в день в среднем работаешь над задачами? Не считая встреч 6-8 часов Как выглядит твой стандартный рабочий день? Работаю с утра до вечера, переодически прерываясь на стендапы/дейлики. Как ты оцениваешь культуру компании или

🥴20👍3🤔3

17 Jun 2026, 13:21 UTC≈2,620 views50 reactionsread 7 August 2026
Photo

Зарплата 121 800 у Middle Analyst в "Совкомбанк Технологии" Бонусы и дополнительные плюшки в компании ДМС со стоматологией, обучение, кэшбэк за фитнес-залы Сколько часов в день в среднем занимают встречи? менее 1 Сколько часов в день в среднем работаешь над задачами? Не считая встреч 4-6 часов Как выглядит твой стандартный рабочий день? разрабатывал антифрод-правила в MS SQL, делал выгрузки, отчёты, алёрты на поч

🥴452🤯2👌1

10 Jun 2026, 06:17 UTC≈2,660 views22 reactionsread 7 August 2026
Photo

Зарплата 174 333 у Middle Analyst в ВТБ Бонусы и дополнительные плюшки в компании ДМС, курсы, корпоративные скидки Сколько часов в день в среднем занимают встречи? 2-4 часа Сколько часов в день в среднем работаешь над задачами? Не считая встреч 4-6 часов Как выглядит твой стандартный рабочий день? начинаю в 9:00-9:30, в 11 синк с командой (2 раза в неделю), куча разных встреч может быть, где то просто послушать,

👍137😁2

8 Jun 2026, 15:06 UTC≈2,400 views15 reactionsread 7 August 2026
Photo

Зарплата 220 000 у Middle Analyst в "Сервер Молл" Бонусы и дополнительные плюшки в компании Нет Сколько часов в день в среднем занимают встречи? 1-2 часа Сколько часов в день в среднем работаешь над задачами? Не считая встреч 4-6 часов Как выглядит твой стандартный рабочий день? Гибкое начало/окончание дня, планерка, остальное время по задачам по плану. Есть первая линия, так что удается заниматься своими задачам

🥴11👍3🤯1

2 Jun 2026, 14:15 UTC≈3,230 views50 reactionsread 7 August 2026
Photo

Зарплата 500 000 у Senior System Analyst в Сбере Бонусы и дополнительные плюшки в компании ДМС для себя и близких, бесплатная подписка сберпрайм, корпоративная ипотека (моя скидка -2,5%), компания может оплатить внешнее или внутреннее обучение, внутренние бесплатные курсы по разным направлениям Сколько часов в день в среднем занимают встречи? 2-4 часа Сколько часов в день в среднем работаешь над задачами? Не счит

🔥23🤣19🤔8

Showing the 12 most recent of 19 posts we hold for @local_talent_analyst. 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 — 11,515 of 1,480,688entries 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.

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.

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

“Local Talent | Analyst” (@local_talent_analyst), 2,327 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/local_talent_analyst.

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.