Telegram RegisterThe public register of Telegram

Channel

Postgres Professional

@postgres_pro

2 usernames

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

3,520subscribers

+2 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001906919920
TypeChannel
Usernames@postgres_pro @postgrespro
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/postgres_pro

Growth

3,5183,5223,5206 August 2026 — 3,518 subscribers6 August 2026 — 3,522 subscribers6 August 2026 — 3,522 subscribers7 August 2026 — 3,522 subscribers10 August 2026 — 3,521 subscribers13 August 2026 — 3,521 subscribers13 August 2026 — 3,520 subscribers6 August 202613 August 2026
7 measurements spanning 7 days, net +2. 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 3,517–3,523 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 11:583,520-1
13 Aug 2026, 00:383,521no change
10 Aug 2026, 08:103,521-1
7 Aug 2026, 03:403,522no change
6 Aug 2026, 22:153,522no change
6 Aug 2026, 22:053,522+4
6 Aug 2026, 09:033,518first reading

Engagement

10 posts held, back to 23 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 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
28.2%
avg views ÷ 3,520 subscribers
Avg views / post
993
10 posts measured
Reaction rate
1.85%
reactions ÷ views · ER floor
Posts in window
10
of 10 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 held10 (23 July 20267 August 2026)
Views total9,932
Reactions total184
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:10 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.

Reaction mix

184 reactions across 10 posts, in 8 distinct kinds. The most used accounts for 25.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4625.0%
custom 52247080234354046374423.9%
🔥3116.8%
2212.0%
custom 5427296240603799930179.24%
❤‍🔥179.24%
👏63.26%
🏆10.543%

Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 10 of the 10 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 184reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 23 July 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, 15:20 UTC376 views19 reactionsread 7 August 2026
Forwarded from @postgrespro_teamPhoto

Вы думали, это все? Неа. Продолжаем рассказ Алексея Лесовского про то, как собрать мониторинг, настройки и бэкапы в одном окне — и не превратить его в кабину самолета. Листайте карточки, чтобы узнать, как Postgres Pro Enterprise Manager делает сложность управляемой.

👍75🔥5custom 52247080234354046372

5 Aug 2026, 07:40 UTC792 views19 reactionsread 7 August 2026
Photo

Разрабатываем не только СУБД. Решения Postgres Pro помогают ускорить 1С, взять под контроль парк СУБД, запустить аналитику и перенести данные без лишней ручной работы. Как именно — рассказали в продуктовых видео. 🏛️ Postgres Pro Enterprise — надежная, безопасная и производительная основа для критически важных систем. 🎛️ Postgres Pro Enterprise Manager — меньше рутины для DBA, больше контроля над инфраструктурой.

custom 52247080234354046378❤‍🔥5👍3🔥21

4 Aug 2026, 09:24 UTC831 views23 reactionsread 7 August 2026
Forwarded from @axoftonairPhoto

✍По данным на 2026 год, в мире ежегодно создаётся около 147 зеттабайт данных. И только вдумайтесь: за последние два года было создано около 90% всех мировых данных. 🔍Конечно, эти данные надёжно хранятся, особенно у крупных компаний. Но даже у них есть большие трудности с их анализом. Понимаем, глаза разбегаются. 🎙Поэтому пригласили в нашу рубрику #АллоЭксперт Эльмиру Рахматулину, руководителя продукта Postgres Pro

custom 52247080234354046378👍75custom 54272962406037999302🔥1

3 Aug 2026, 15:35 UTC883 views17 reactionsread 7 August 2026
Photo

Oracle → Postgres Pro: рассказываем, как Росатом обновил критически важную финансовую систему. РЦК (Расчетный центр Корпорации) ежедневно проводит платежи на сумму более 160 млрд ₽ для 250 предприятий. РЦК интегрирован с 26 корпоративными системами, 6 крупнейшими банками и Банком России. Команда сохранила интерфейс и функциональность, перевела 1 230 пользователей и сэкономила 25 000 рабочих часов на обучении. На P

🔥7custom 522470802343540463772🏆1

31 Jul 2026, 14:01 UTC≈1,110 views17 reactionsread 7 August 2026
Photo

🚨 Пятница, вечер. Мониторинг замечает скачок чтения в таблице платежей. У ИБ три вопроса: 1. Кто обращался к данным? 2. С какого адреса? 3. Сколько строк прочитал? Обычный журнал PostgreSQL редко дает такой ответ. log_statement = all смешивает запросы с сообщениями сервера и приложений, а log_line_prefix лишь добавляет к текстовым строкам роль или IP. pgAudit улучшает аудит команд и объектов, но нужные поля остаю

7👍4custom 54272962406037999303custom 52247080234354046372🔥1

30 Jul 2026, 10:04 UTC≈1,150 views18 reactionsread 7 August 2026
Photo

Выпустили Postgres Pro Enterprise Manager 2.8 — с новыми возможностями для управления отказоустойчивостью, производительностью и конфигурацией СУБД. Главное в релизе: ✅ Кворумная синхронная репликация в BiHA Через интерфейс PPEM можно задать, сколько синхронных реплик должны подтвердить транзакцию. Это помогает найти баланс между защитой данных и скоростью записи. ✅ Поддержка AQO Адаптивная оптимизация учитывает

custom 52247080234354046378👍5🔥4❤‍🔥1

29 Jul 2026, 09:22 UTC≈1,040 views19 reactionsread 7 August 2026
Photo

Руководитель продукта Postgres Pro AXE Эльмира Рахматулина рассказала, как оценить аналитическую СУБД до закупки: Узнайте, как учесть инфраструктуру, интеграции, экспертизу и TCO, а также — когда выгоднее работать с транзакционными и аналитическими данными в одном стеке, не создавая зоопарк систем. ▶️ Смотрите выпуск AM Live с ЦИПР 2026. 🔗 Протестируйте Postgres Pro AXE бесплатно на своих задачах. 🔔 Читайте нас в

👍7❤‍🔥6🔥5custom 52247080234354046371

27 Jul 2026, 11:10 UTC≈1,140 views16 reactionsread 7 August 2026
Forwarded from @postgrespro_teamPhoto

Опубликовали выступления наших спикеров на DUMP. Старший инженер Денис Гидин рассказал, как Postgres Pro управляет планами запросов и ускоряет SQL с помощью ML. ▶️ Смотрите на Youtube / Rutube / ВК Технический менеджер Евгений Пажитнов объяснил, почему сбои возникают даже в зрелой инфраструктуре: как соотносятся технологии, человеческий фактор и процессы, и почему во многих случаях корень проблемы — не в самой СУБ

👏6❤‍🔥5custom 54272962406037999304👍1

24 Jul 2026, 15:30 UTC≈1,370 views19 reactionsread 7 August 2026
Photo

Реплика основной БД на резервном сервере позволяет не потерять данные при сбое. BiHA помогает автоматически переключиться на реплику. BiHA — встроенный механизм высокой доступности Postgres Pro Enterprise. Если основной узел выходит из строя, кластер выбирает наиболее актуальную реплику и передает ей роль лидера. Proxima направляет новые подключения на новый лидер. Каскадная репликация снижает нагрузку на сервер и

custom 54272962406037999308👍62🔥2custom 52247080234354046371

23 Jul 2026, 14:48 UTC≈1,240 views17 reactionsread 6 August 2026
Forwarded from @PostgresProEduPhoto

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

custom 52247080234354046377👍6🔥4

Showing the 10 most recent of 10 posts we hold for @postgres_pro. 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 — 254,562 of 1,183,361entries 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.

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

“Postgres Professional” (@postgres_pro), 3,520 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/postgres_pro.

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.