Telegram RegisterThe public register of Telegram

Channel

Agentic Engineer

@data_engi

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

618subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001721315694
TypeChannel
Username@data_engi
DescriptionData Engineering Technologies. SQL, Python, Kafka, Spark, Pandas, Airflow, Clickhouse, Greenplum, Postgres, dbt, LLM agentic systems, AI, robots, drones etc. Boost channel - https://t.me/boost/data_engi
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live6 August 2026
Measurements held2
On Telegramt.me/data_engi

Growth

6186 Aug 2026, 09:05 — 618 subscribers6 Aug 2026, 17:34 — 618 subscribers6 Aug 2026, 09:056 Aug 2026, 17:34
2 measurements taken within a single day. 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 617–619 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Aug 2026, 17:34618no change
6 Aug 2026, 09:05618first reading

Engagement

20 posts held, back to 31 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
21.9%
avg views ÷ 618 subscribers
Avg views / post
135
20 posts measured
Reaction rate
5.77%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 6 August 2026
Posts held20 (31 July 20266 August 2026)
Views total2,705
Reactions total156
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 17:34 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
429
Videos
125
Links
583

Lifetime counters from Telegram’s own channel header, read 6 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

156 reactions across 20 posts, in 8 distinct kinds. The most used accounts for 20.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 53841561932183718323220.5%
custom 54181439573537666602918.6%
❤‍🔥2817.9%
custom 52827969192428926661811.5%
custom 52760055150909951161610.3%
custom 6192631808996149981148.97%
custom 6205982285339037777127.69%
custom 527395555297041932074.49%

Custom emoji. 7 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 20 of the 20 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 156reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 31 July 2026 to 6 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

6 Aug 2026, 12:47 UTC64 views6 reactionsread 6 August 2026

Airbyte убрал лишний круг данных внутри Redshift В Airbyte Destination Redshift 4.0 данные передаются между контейнерами через Unix-сокеты в Protobuf, а не гоняются через оркестратор в JSON. Типы теперь приводятся до загрузки, поэтому записи сразу попадают в итоговые таблицы без промежуточных _airbyte_raw_* и дополнительного SQL. В тестах пропускная способность выросла с 8,36 до 38,27 МБ/с — в 4,6 раза. Заодно сниж

custom 54181439573537666603❤‍🔥2custom 62059822853390377771

5 Aug 2026, 21:35 UTC94 views6 reactionsread 6 August 2026

Uber поставила на роботакси больше $10 млрд Uber планирует вложить свыше $10 млрд в развитие сети беспилотных машин и хочет вывести до 120 000 роботакси минимум в 15 городах уже к концу года. Компания, которая ещё в 2020 году закрыла собственное направление беспилотников, теперь решила стать главным диспетчером чужих автономных машин — Waymo, Zoox, Rivian, Wayve и других. Война за роботакси закончилась: теперь кон

custom 61926318089961499816

5 Aug 2026, 10:31 UTC108 views6 reactionsread 6 August 2026
Photo

#dev #memes #datalake @data_engi

custom 53841561932183718326

5 Aug 2026, 06:43 UTC116 views11 reactionsread 6 August 2026

Китайский автопилот выходит на дороги Дании WeRide договорилась с датским оператором GreenMobility о запуске публичного сервиса роботакси. Если регуляторы разрешат, первые поездки начнутся в первой половине 2027 года. Дания станет уже шестой европейской страной, куда вышла китайская компания. Пока WeRide в основном тестирует машины за рубежом, но явно строит глобальную сеть — от Китая и ОАЭ до Европы. Китайские ро

custom 54181439573537666606custom 62059822853390377773❤‍🔥1custom 52827969192428926661

5 Aug 2026, 05:14 UTC113 views8 reactionsread 6 August 2026
Video

#dev #ai #llm #memes #agentic @data_engi

custom 53841561932183718327custom 54181439573537666601

4 Aug 2026, 18:13 UTC124 views9 reactionsread 6 August 2026

Arrow научился сжимать Bloom-фильтры уже после записи данных В Apache Arrow 25.0.0 изменили создание Bloom-фильтров для Parquet. Сначала фильтр выделяется под предполагаемое число уникальных значений, а после записи автоматически уменьшается под фактическую кардинальность. Раньше консервативная оценка могла оставлять в каждом файле неоправданно большой фильтр. Теперь Parquet экономит место, сохраняя заданную вероят

custom 54181439573537666605❤‍🔥4

4 Aug 2026, 08:54 UTC169 views12 reactionsread 6 August 2026

Prefect покупает Dagster 13 июля Prefect объявила о покупке Dagster Labs. Два проекта, почти десять лет конкурировавшие на рынке оркестрации данных, окажутся внутри одной компании. Dagster сохранит название, открытую лицензию и коммерческий сервис Dagster+. Развёртывания, тарифы и поддержка клиентов пока не меняются. Объединённая компания будет работать под брендом Prefect. Для инженеров немедленной миграции нет.

custom 52739555529704193207custom 52827969192428926663❤‍🔥2

3 Aug 2026, 21:00 UTC135 views6 reactionsread 6 August 2026

ScyllaDB погасила шторм из 380 тысяч подключений После перезапуска узла драйверы одновременно переподключались к каждому процессорному ядру. Очереди раздувались, подключения не укладывались в тайм-ауты, клиенты повторяли запросы — и P99 задержка взлетала с 4 мс до 5 секунд. В ScyllaDB 2026.2 добавили ограничение параллельной инициализации соединений, единый кеш прав и ролей, вытесняемое вычисление хешей паролей и о

custom 54181439573537666606

2 Aug 2026, 21:27 UTC142 views8 reactionsread 6 August 2026

🧈 Как молочное лобби заставляло красить маргарин в розовый В 1880-х годах американские производители молока столкнулись с опасным конкурентом — маргарином. Он стоил дешевле масла и позволял использовать жиры, которые прежде считались отходами. Особенно популярным заменитель стал среди семей, не способных регулярно покупать настоящее сливочное масло. Молочная промышленность объявила маргарин подделкой. Отчасти прет

custom 53841561932183718326custom 52827969192428926662

2 Aug 2026, 18:19 UTC143 views10 reactionsread 6 August 2026

Trino наконец получил нормальный PIVOT В Trino 483 появился оператор PIVOT, превращающий значения строк в столбцы. Больше не нужно вручную собирать отчёт через десятки конструкций sum(CASE WHEN ...). Поддерживаются несколько агрегатов, многомерные ключи и итоги через ROLLUP, CUBE и GROUPING SETS. Для инженеров это означает короче SQL-модели и меньше ошибок в отчётных преобразованиях. Ограничение: набор будущих сто

custom 54181439573537666604❤‍🔥3custom 62059822853390377773

2 Aug 2026, 16:32 UTC143 views6 reactionsread 6 August 2026
Video

#dev #memes #agentic @data_engi

custom 53841561932183718326

2 Aug 2026, 11:02 UTC149 views7 reactionsread 6 August 2026

Flink SQL научился превращать обычный поток в CDC и обратно В Apache Flink 2.3 появились функции FROM_CHANGELOG и TO_CHANGELOG. Первая превращает поток строк с кодами операций в динамическую таблицу с INSERT, UPDATE и DELETE. Вторая делает обратное — переводит обновляемую таблицу в append-only журнал событий. Для инженеров это означает, что нестандартные CDC-форматы, аудит и запись в append-only хранилища теперь м

❤‍🔥7

Showing the 12 most recent of 20 posts we hold for @data_engi. 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 — 551,515 of 1,160,990entries 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 4 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.

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

“Agentic Engineer” (@data_engi), 618 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/data_engi.

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.