Channel

topdatalab

@topdatalab

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

1,363subscribers

+8 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	-1001267529966
Type	Channel
Username	@topdatalab
Created	Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded	6 August 2026
Last confirmed live	12 August 2026
Measurements held	4
Confirmed unchanged	1 time, most recently 12 August 2026
On Telegram	t.me/topdatalab

Growth

4 measurements spanning 6 days, net +8. 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 1,354–1,364 and does not start at zero.

Measurement log — every subscribers count we have recorded
Measured (UTC)	Subscribers	Change
12 Aug 2026, 16:55	1,363	+3
9 Aug 2026, 23:36	1,360	+4
6 Aug 2026, 15:40	1,356	+1
6 Aug 2026, 09:06	1,355	first reading

Engagement

20 posts held, back to 11 March 2026 — the 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: 70.3%; avg views ÷ 1,363 subscribers
Avg views / post: 959; 7 posts measured
Reaction rate: 0.983%; reactions ÷ views · ER floor
Posts in window: 7; 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
Window	Rolling 30 days · latest post in window 5 August 2026
Posts held	20 (11 March 2026 – 5 August 2026)
Views total	6,712
Reactions total	66
Forwards / comments	not exposed by the public surface — not measured, not estimated
Readings taken	6 Aug 2026, 09:06 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.

Recent posts

5 Aug 2026, 09:29 UTC≈379 views7 reactionsread 6 August 2026

Читаю резюме на Data quality analyst Из интересного: • часто встречаю Duckdb • встречаю SQLMesh, но только в США (впереди планеты всей?) • вижу корявые попытки использовать LLM для подстройки резюме под вакансию: I used dbt or sqlmesh for a data validation. Хочется спросить, что именно? Эти технологии взаимно исключающие Пример AI фразы из резюме: Optimized migration tooling by integrating dbt and SQLMesh, improving…

Signed Roman Zykov

28 Jul 2026, 19:25 UTC≈677 views3 reactionsread 6 August 2026

``` Roman, Turing buys operating history from companies like Retail Rocket for frontier AI training, and pays up to $1M for it. That's the record your team builds just by running: the code, the product decisions, the design, the tickets, the docs, the threads behind how you ship. We acquire a defined, de-identified copy of it. One time, under NDA, in an air-gapped environment. Your live systems and your business keep…

Signed Roman Zykov

28 Jul 2026, 18:26 UTC≈637 views3 reactionsread 6 August 2026

Что вы думаете об этом https://sierra.ai/blog/the-ai-native-interview Тут и AI кодинг и отдельно дебаггинг

Signed Roman Zykov

28 Jul 2026, 13:02 UTC≈691 views7 reactionsread 6 August 2026

Новая позиция, буду нанимать сразу двух человек. Dwelly постоянно покупает агенства недвижимости, а это значит, что очень много работы требуется с интеграцией данных в нашу систему. Не сильно сложная, но требующая максимальной внимательности! https://job-boards.eu.greenhouse.io/dwelly/jobs/4937564101 PS: если хотите откликнуться - пишите на roman at dwelly.group обязательно небольшой сопроводительный абзац

Signed Roman Zykov

28 Jul 2026, 10:13 UTC≈688 views29 reactionsread 6 August 2026

Сегодня Dwelly подняла 170 млн. Это значит, что продолжаю нанимать. Еще одна позиция будет, fully remote https://www.bloomberg.com/news/articles/2026-07-28/ai-startup-dwelly-raises-170-million-for-real-estate-rollup

Signed Roman Zykov

23 Jul 2026, 13:22 UTC≈1,090 views6 reactionsread 6 August 2026

Я нанимал из вышки (ВШЭ) и физтеха (МФТИ). И заметил одну интересную особенность, физтехи более амбициозны. У выпускников вышки более прямой карьерный трек. А вот у физтехов чаще стартапы появляются. PS: это мое субъективное мнение, подкрепленное исключительно собственной статистикой

Signed Roman Zykov

20 Jul 2026, 16:24 UTC≈2,550 views11 reactionsread 6 August 2026

Ищу к себе двух инженеров, удаленка (100-150$k) Вакансия ближе к разработке и ML https://job-boards.eu.greenhouse.io/dwelly/jobs/4929545101 Вакансия ближе к разработке https://job-boards.eu.greenhouse.io/dwelly/jobs/4928198101 PS: чуть позже еще будет пара вакансий попроще. Можете писать мне, зареферю :) PS2: если хотите в Лондон - можем сделать визу

Signed Roman Zykov

25 Jun 2026, 11:54 UTC≈1,580 views17 reactionsread 6 August 2026

Ducklake + DBT - случайно затер неправильными данными инкрементальные таблицы 🙁 но! Ducklake поддерживает версионность! А это значит их можно восстановить memory D ATTACH 'ducklake:postgres:' AS ducklake ( META_SECRET pg_metadata, DATA_PATH 's3://corpsignals/ducklake', METADATA_SCHEMA 'ducklake_catalog', OVERRIDE_DATA_PATH true ); memory D selec…

Signed Roman Zykov

19 Jun 2026, 08:23 UTC≈1,320 views50 reactionsread 6 August 2026

Photo

Ну все, теперь без визы в UK. Через два года на паспорт (если власть не поменяется). Младший родившийся в Лондоне сын получит гражданство в этом году. PS: заплатил за эту процедуру 4000 фунтов :(. Гос бизнес

Signed Roman Zykov

27 May 2026, 10:44 UTC≈1,600 views26 reactionsread 6 August 2026

У меня тут у знакомых в разных компаниях идут сокращения. Больше всего режут IT. Причем так нормально, до половины состава. AI и прочее, не знаю к чему приведет. Но есть один важный вопрос, который бы я спросил на собеседовании у человека, которого уволили. “Насколько ты был загружен в тот момент? А если было нечего делать, чего сам не ушел?” Одно дело все пахали, и например денег не подняли, закрылись. Другой моме…

Signed Roman Zykov

19 May 2026, 15:32 UTC≈1,570 views48 reactionsread 6 August 2026

Photo

Неделю назад я вышел в Dwelly Group, чтобы заняться всем дата стеком. Они занимаются скупкой и AI автоматизацией агенств недвижимости в UK в разы повышая эффективность бизнеса. Недавно они подняли 93 mln. На заднем фоне очередное купленное агенство в Лондоне, которое нам нужно заинтегрировать.

Signed Roman Zykov

19 May 2026, 13:08 UTC≈1,410 views10 reactionsread 6 August 2026

Прошел год и теперь эта либа подходит для проверки JSON output даже у OpenAI моделей через API. Проблема: когда вам нужно, чтобы LLM модель выдавала JSON, его нужно проверять на валидность. Так вот https://dottxt-ai.github.io/outlines/latest/features/models/ библиотека умела раньше делать только для локальных моделей. А теперь и с OpenAI, его API умеет возвращать вероятности по топ токенам! Не нужно использовать отде…

Signed Roman Zykov

Showing the 12 most recent of 20 posts we hold for @topdatalab. 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 — 305,561 of 1,336,469entries 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.

MLSecAI
@mlsecai · 31 post

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 1 registered channel — 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.

Вакансии друзей Жени Козлова
@DataOpportunity · 1,7021 post

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

“topdatalab” (@topdatalab), 1,363 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/topdatalab.

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.