Telegram RegisterThe public register of Telegram

Channel

Копай глубже

@deep_dive_coding

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

250subscribers

+0 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002194993267
TypeChannel
Username@deep_dive_coding
DescriptionО разработке, жизни программиста и карьере. Весь контент написан исключительно человеком, без использования ИИ
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/deep_dive_coding

Growth

2507 Aug 2026, 17:19 — 250 subscribers8 Aug 2026, 09:31 — 250 subscribers7 Aug 2026, 17:198 Aug 2026, 09:31
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 249–251 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 09:31250no change
7 Aug 2026, 17:19250first reading

Engagement

20 posts held, back to 27 January 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 9 July 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
59
Videos
15
Links
73

Lifetime counters from Telegram’s own channel header, read 8 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.

Video runtime
1m 42s
Average length
34s

Measured directly from 3 videos 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

142 reactions across 18 posts, in 7 distinct kinds. The most used accounts for 29.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁4229.6%
3222.5%
👍2517.6%
💯2416.9%
🔥1510.6%
👎21.41%
👏21.41%

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 18 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 142reactions 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 27 January 2026 to 9 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

23 Jun 2026, 07:24 UTC242 views7 reactionsread 8 August 2026
Photo

Кто-то смотрит канал "организованное программирование"?) сегодня на хайлоаде выступает Кирилл, конечно же про агентную разработку)

🔥7

5 Jun 2026, 10:30 UTC310 views4 reactionsread 8 August 2026

Теория мертвого интернета больше не теория) https://habr.com/ru/news/1044034/

👍4

9 May 2026, 08:08 UTC374 views14 reactionsread 8 August 2026
Photo

С великим праздником!

12👎2

6 Apr 2026, 10:26 UTC442 views7 reactionsread 8 August 2026

Сегодня у меня для вас интересная статья об инженере из гугла который после месяца работы через клод решил все выкинуть и начать сначала, о причинах в статье) https://lalitm.com/post/building-syntaqlite-ai/

😁7

30 Mar 2026, 11:45 UTC395 views3 reactionsread 8 August 2026

Сегодня хочу посоветовать к просмотру доклад с конференции Яндекса для тимлидов. Как ИИ меняет инженерную культуру и что это значит для тимлидов и инженеров Будет интересно не только лидам, но и разработчикам, как бы мы не хотели, но индустрия меняется и нужно быть в контексте изменений, без лишнего пафоса и х20 ускорений, структурный подход с замерами метрик и тд. такое мне нравится) https://youtu.be/JMV0ni9TPwM

👍3

24 Mar 2026, 15:19 UTC306 views5 reactionsread 8 August 2026

В интересное время живем) https://habr.com/ru/articles/1003434/

5

22 Mar 2026, 06:26 UTC289 views11 reactionsread 8 August 2026
Photo

Посмотрел доклад Яндекс про развитие AI в разработке, в целом советую к просмотру чтобы быть в курсе что вообще делают большие компании сейчас. Но хотел бы обратить ваше внимание на этот скрин. Прямо сейчас все усилия по внедрению AI дают прирост 2% к перфу, очень оптимистичная цель до 10%, это к слову о х10 роста перфа и о том что кто-то кого-то заменит. И тут можно задать логичный вопрос, стоят ли эти триллионы д

🔥8👍2💯1

20 Mar 2026, 09:09 UTC256 views5 reactionsread 8 August 2026

Исследование EsoLang‑Bench от Lossfunk показало, что даже топовые модели (GPT‑5.2, O4‑mini, Gemini 3 Pro, Qwen3‑235B, Kimi K2) почти не умеют программировать на эзотерических языках вроде Brainfuck, Whitespace и Befunge‑98 — их точность там 0–11%, против высоких результатов на обычных бенчмарках. Ни одна модель не решила ни одной задачи выше уровня «Easy», а GPT‑5.2 не смогла сложить 5+7 на Brainfuck, а на Whitespac

👍5

6 Mar 2026, 14:26 UTC281 viewsread 8 August 2026
Forwarded from @denis_news_feed

A GitHub Issue Title Compromised 4,000 Developer Machines (Score: 27 pts in 12 hours) A GitHub issue title was used to inject a prompt that installed OpenClaw on 4,000 developer machines via a chain of vulnerabilities, including prompt injection, cache poisoning, and credential theft. Link: grith.ai/blog/clinejection-when-your-ai-tool-installs-another Comments: lobste.rs/s/efkl8m/github_issue_title_compromised_4_000

Showing the 12 most recent of 20 posts we hold for @deep_dive_coding. 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.

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

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

“Копай глубже” (@deep_dive_coding), 250 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/deep_dive_coding.

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.