Telegram RegisterThe public register of Telegram

Channel

Postgres Pro Edu

@PostgresProEdu

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

2,337subscribers

+6 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001528691612
TypeChannel
Username@PostgresProEdu
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/PostgresProEdu

Growth

2,3302,3372,333.56 August 2026 — 2,331 subscribers6 August 2026 — 2,330 subscribers9 August 2026 — 2,334 subscribers12 August 2026 — 2,337 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net +6. 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 2,329–2,338 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 13:062,337+3
9 Aug 2026, 02:312,334+4
6 Aug 2026, 10:512,330-1
6 Aug 2026, 09:042,331first reading

Engagement

11 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
26.5%
avg views ÷ 2,337 subscribers
Avg views / post
619
1 post measured
Reaction rate
7.27%
reactions ÷ views · ER floor
Posts in window
1
of 11 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 29 July 2026
Posts held11 (15 May 202629 July 2026)
Views total619
Reactions total45
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:40 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
45s
Average length
45s

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

232 reactions across 11 posts, in 12 distinct kinds. The most used accounts for 32.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7632.8%
🔥6427.6%
5222.4%
❤‍🔥166.90%
👏125.17%
🎉31.29%
🤩31.29%
😁20.862%
🌭10.431%
🕊10.431%
🤗10.431%
🥰10.431%

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 11 of the 11 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 232reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 15 May 2026 to 29 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.

Recent posts

29 Jul 2026, 07:01 UTC619 views45 reactionsread 7 August 2026
Photo

✈️ Почти девять лет демобаза авиаперевозок помогает изучать SQL, индексы и планы запросов в книгах, курсах и демонстрациях Postgres Pro. За это время учебные задачи выросли — и вместе с ними обновилась база. Егор Рогов, директор образовательных программ Postgres Professional, представляет демобазу 2.0 и рассказывает, чем она отличается от первой версии. Внутри: ✅ Новая структура данных с маршрутами, рейсами, сегме

👍22🔥148🕊1

9 Jul 2026, 11:36 UTC≈1,060 views12 reactionsread 7 August 2026
Photo

Опубликовали на Хабре разбор задач третьего этапа конкурса по PostgreSQL на «ИТ-Планете 2026». На этот раз участникам нужно было написать один SQL-запрос, который управляет болидом на случайной трассе: выбирает следующий ход, не пересекает границы, не врезается в соперников и укладывается в лимит времени. Это гонка, но по сути задача на стратегию, оптимизацию и знание возможностей PostgreSQL: 1️⃣ Как представить т

👍74❤‍🔥1

3 Jul 2026, 15:01 UTC≈1,270 views25 reactionsread 7 August 2026
Photo

У Postgres Professional есть целая библиотека книг по PostgreSQL и базам данных. Все — в свободном доступе: от первого знакомства с Postgres до оптимизации запросов, мониторинга и внутреннего устройства СУБД. 1️⃣ PostgreSQL 16. Оптимизация запросов Книга про планировщик PostgreSQL, планы выполнения и практические приемы оптимизации запросов. Помогает перейти от «запрос тормозит» к пониманию, где именно теряется вре

👍126🔥5🤗1🥰1

26 Jun 2026, 13:32 UTC≈1,240 views14 reactionsread 7 August 2026
Photo

Опубликовали на Хабре разбор задач второго этапа конкурса по PostgreSQL на «ИТ-Планете 2026». Участникам нужно было решить 5 задач на внимательность, логику и знание возможностей PostgreSQL: 1️⃣ Как написать запрос, если нельзя использовать SELECT. 2️⃣ Как очистить журнал шлагбаума от ошибок распознавания номеров. 3️⃣ Как посчитать свободные места на парковке по событиям въезда и выезда. 4️⃣ Как собрать турнирну

🔥83🎉3

24 Jun 2026, 13:21 UTC≈2,590 views15 reactionsread 7 August 2026
Photo

Открыли прием докладов на PGConf.Академия 2026 — практическую конференцию для преподавателей ИТ-дисциплин, методистов, методологов и специалистов, которые разрабатывают образовательные программы в вузах, колледжах и ИТ-компаниях. ⏰ Конференция пройдет 16 ноября. Ждем доклады про образование, PostgreSQL, системное программирование, опыт совместных образовательных программ: индустрия и образовательная организация, пр

👍7❤‍🔥4😁2🌭1🔥1

17 Jun 2026, 16:26 UTC≈2,490 views21 reactionsread 7 August 2026
Photo

На сайте Postgres Professional есть курсы в свободном доступе: теория, демонстрации на живой системе и практика. Собрали пять курсов для будущих разработчиков приложений: 1️⃣ DEV1 — серверная разработка на SQL и PL/pgSQL. 2️⃣ DEV2 — расширенные возможности PostgreSQL для логики приложения. 3️⃣ QPT — планы запросов, индексы и оптимизация. 4️⃣ DBS — роли, права и аутентификация. 5️⃣ PGPRO — возможности Postgres P

8🔥6👏4👍3

5 Jun 2026, 13:44 UTC≈1,560 views19 reactionsread 7 August 2026
Photo

Провели финал конкурса «СУБД Postgres Pro»: 14 и 15 мая в питерском офисе Postgres Professional собрались 19 финалистов. 🗄️ Была настоящая гонка SQL-запросов: искали оптимальные решения и проверяли, кто быстрее справится с задачами на Postgres Pro. Почти весь первый день решали задачи с небольшими перерывами на смол-толки и обед. Второй день начали с экскурсии по Питеру, а закончили разбором задач и объявлением по

👏75🔥4🤩3

29 May 2026, 14:32 UTC≈1,390 views16 reactionsread 7 August 2026
Forwarded from @postgrespro_teamPhoto

DevOps — не технология, а целый набор инженерных навыков: сети, облака, контейнеры, автоматизация и умение спокойно смотреть на горящий прод. Собрали подборку для тех, кто хочет разобраться в профессии, подтянуть базу или расти дальше. ☑️ Начало DevOps Roadmap — удобная карта профессии. Помогает понять, чем занимается DevOps-инженер, какие темы нужно знать и как они связаны между собой. ☑️ Сети Видеообзор про базо

🔥86❤‍🔥2

24 May 2026, 07:15 UTC≈1,320 views17 reactionsread 7 August 2026
Video

Учиться или не учиться? Придется ли на первой на работе забыть все, что учили в вузе? Почему поиск работы похож на дейтинг? Разбираемся в третьем выпуска подкаста «Слон в IT-лавке» с генеральным директором Postgres Professional Иваном Панченко. В гостях: ➖ Ксения Замуховская, директор по персоналу Postgres Professional. ➖ Денис Каминский, сооснователь FutureToday — агрегатора стажировок и лидерских программ для с

👍7❤‍🔥6🔥4

21 May 2026, 15:27 UTC≈1,440 views17 reactionsread 7 August 2026
Photo

⚡️ Открыли регистрацию на PGConf.Академия 2026 — конференцию для тех, кто преподает ИТ и разрабатывает образовательные программы. Это площадка, где преподаватели, методисты, методологи и специалисты из вузов, колледжей и ИТ-компаний обсуждают, как учить базам данных, PostgreSQL и системному программированию. В 2026 году Postgres Professional проводит конференцию вместе с Факультетом компьютерных наук НИУ ВШЭ. В пр

🔥8❤‍🔥3👍32👏1

15 May 2026, 09:15 UTC≈1,640 views31 reactionsread 7 August 2026
Photo

PostgreSQL лучше учить системно, а не по случайным вкладкам из браузера. Регулярно выкладываем в свободный доступ на сайте Postgres Professional курсы для админов PostgreSQL: теория, демонстрации на живой системе и практика. Вот шесть курсов для DBA: 1️⃣ DBA1 — старт в администрировании PostgreSQL. 2️⃣ DBA2 — настройка и мониторинг сервера. 3️⃣ DBA3 — бэкапы, репликация и сбои. 4️⃣ QPT — планы запросов, индексы

👍1510🔥6

Showing the 11 most recent of 11 posts we hold for @PostgresProEdu. 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 — 534,746 of 1,345,403entries 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.

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.

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

“Postgres Pro Edu” (@PostgresProEdu), 2,337 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/PostgresProEdu.

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.