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Channel

Podlodka Podcast – анонсы и новости подкаста про IT

@podlodkanews

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

7,236subscribers

-11 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-1001383563818
TypeChannel
Username@podlodkanews
Created9 December 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live24 September 2026
Measurements held15
Confirmed unchanged1 time, most recently 24 September 2026
On Telegramt.me/podlodkanews

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

7,2257,2477,2366 August 2026 — 7,247 subscribers6 August 2026 — 7,247 subscribers9 August 2026 — 7,243 subscribers12 August 2026 — 7,244 subscribers16 August 2026 — 7,240 subscribers19 August 2026 — 7,244 subscribers22 August 2026 — 7,243 subscribers25 August 2026 — 7,245 subscribers28 August 2026 — 7,244 subscribers31 August 2026 — 7,242 subscribers3 September 2026 — 7,239 subscribers8 September 2026 — 7,234 subscribers13 September 2026 — 7,233 subscribers17 September 2026 — 7,225 subscribers24 September 2026 — 7,236 subscribers6 August 202624 September 2026
15 measurements spanning 50 days, net -11. 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 7,222–7,250 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
24 Sept 2026, 20:577,236+11
17 Sept 2026, 01:207,225-8
13 Sept 2026, 03:557,233-1
8 Sept 2026, 23:157,234-5
3 Sept 2026, 11:017,239-3
31 Aug 2026, 13:547,242-2
28 Aug 2026, 05:057,244-1
25 Aug 2026, 04:167,245+2
22 Aug 2026, 08:587,243-1
19 Aug 2026, 02:227,244+4
16 Aug 2026, 08:357,240-4
12 Aug 2026, 09:137,244+1
9 Aug 2026, 17:227,243-4
6 Aug 2026, 03:167,247no change
6 Aug 2026, 02:037,247first reading

Engagement

27 posts held, back to 19 May 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 13 pages of 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 27 posts for this entry, the most recent from 18 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 12s
Average length
1m 12s

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

919 reactions across 26 posts, in 27 distinct kinds. The most used accounts for 16.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤15316.6%
🤡14716.0%
🔥14515.8%
👍13514.7%
👎10010.9%
❤‍🔥434.68%
💊384.13%
🥴374.03%
💅343.70%
😁343.70%
🤣192.07%
🥱70.762%
🦄40.435%
🤔30.326%
🤩30.326%
👀20.218%
🕊20.218%
😍20.218%
😭20.218%
🤝20.218%
7 further kinds70.762%

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 26 of the 27 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 919 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 27 most recent posts we hold, published 19 May 2026 to 18 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.

Advertising

Ad load
18.5%
5 of 27 posts carry an ad marker
Regulatory tokens
5
posts carrying an erid · 5 distinct tokens
Median views · ads
2,350
over 5 measured posts
Median views · rest
2,560
over 22 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2SDnjbocFa3114 July 202614 July 2026
2SDnjcXQjbR111 August 202611 August 2026
2SDnjdBhcfd127 July 202627 July 2026
2SDnjdbfsR513 August 20263 August 2026
2SDnjeJxBbg111 June 202611 June 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 27 most recent posts we hold, published 19 May 2026 to 18 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

18 Aug 2026, 14:29 UTC935 views47 reactionsread 20 August 2026

Мы организуем новый хакатон В нашем AI клубе на днях стартует новый хакатон – будем делать самообучающихся агентов. Идея примерно такая: 👉Берете какой-то поток однотипных задач – например, разбор входящих крешей или обновление документации. 👉Собираете агента или скилл, который умеет эти задачи обрабатывать. 👉Сохраняете в отдельную внешнюю память все, что в этом процессе идет не так – ошибки, комментарии человека, ф…

👎35🥱6❤4👌1👍1

Signed Egor Tolstoy

17 Aug 2026, 09:00 UTC≈1,210 views89 reactionsread 20 August 2026
Photo

Podlodka #490 – AI-агенты Deep Dive Вадим Брилиантов создал и был техлидом Koog – фреймворка для AI-агентов на Kotlin. В выпуске разбираем, что на самом деле отличает агента от чат-бота: цикл, инструменты, память и контекст, и почему харнесс почти всегда держится на детерминированном коде, а не на модели. Вадим сравнивает архитектурные решения при построении агентов, объясняет, зачем нужна персистентность состояния…

👎59👍20🔥5❤2😭2😁1

11 Aug 2026, 11:33 UTC≈1,770 views41 reactionsread 20 August 2026

Внимание, внимание, это теоретически-гипотетический опрос, никого ни к чему не обязывающий и никому ничегошеньки не обещающий! (Пока что 😅) 🤖 Представьте, что мы стали бы чаще выпускать AI-специфичные выпуски. Примеры тем: • Автономные фабрики фичей • Как AI меняет структуру команд • Как строить внутреннюю агентскую платформу (эфемерные окружения, менеджмент доступов и вот это все) • Как разрабатывать сложные легас…

🥴37🤩3🤔1

Signed Katerina Petrova

11 Aug 2026, 06:03 UTC≈1,530 views27 reactionsread 20 August 2026
Advertisementerid 2SDnjcXQjbRForwarded from @breslavandlozhechkinPhoto

Бреслав и Ложечкин #40 — Типология мышек и ёжиков Обсудили разные "типологии личности", вроде MBTI, Hogan, Big 5, Culture Map. Что в них есть научного и антинаучного? И насколько они могут быть полезны (даже антинаучные)? Как их правильно применять для себя и для своих команд. Партнёр команды Podlodka — наши давние друзья @AvitoTech. Это команда с крутыми процессами, культурой здравого смысла и эксперимента. Узнать…

🤣19👍5❤1👻1🔥1

10 Aug 2026, 16:12 UTC≈3,300 views15 reactionsread 20 August 2026
Photo

Podlodka #489 – Laravel Laravel любят за скорость разработки, ругают за магию и регулярно обвиняют в том, что он плодит жирные контроллеры. Вместе с Аделем Файзрахмановым – автором плагина Laravel Idea для PhpStorm и книги «Архитектура сложных веб-приложений. С примерами на Laravel» – разбираемся, что именно делает этот фреймворк лучшим на сегодняшний день способом писать код на PHP. 🎧 Слушать выпуск 👀 Смотреть в…

🔥8👍4❤3

9 Aug 2026, 09:58 UTC≈1,630 views24 reactionsread 20 August 2026
Photo

На следующей неделе пишем выпуск про то, что сейчас происходит со студиями разработки – как AI повлиял на востребованность аутсорса, за что вообще платят клиенты, как изменились предпочтения по платформам и технологиям, и как сейчас строятся команды и процессы внутри. Накидайте ваших интересных вопросов, будем обсуждать!

🔥21👍1👎1😁1

Signed Egor Tolstoy

3 Aug 2026, 16:54 UTC≈2,350 views14 reactionsread 20 August 2026
Advertisementerid 2SDnjdbfsR5Photo

Podlodka #488 – UX-ресерч в эпоху AI Когда вообще стоит проводить UX-исследование? А когда оно только тратит время и деньги? В этом выпуске разбираемся, в каких случаях ответ уже можно найти в аналитике или саппорте, когда проблема и так очевидна, а когда ещё слишком рано что-либо исследовать, потому что даже гипотезы решения нет. В гостях – Георгий Крутоус, руководитель UX Research в Muse Group (Ultimate Guitar, M…

❤9👍2👀1🔥1🤯1

27 Jul 2026, 15:10 UTC≈2,620 views17 reactionsread 20 August 2026
Advertisementerid 2SDnjdBhcfdPhoto

Podlodka #487 – Elixir Elixir часто воспринимают как более дружелюбный синтаксис поверх Erlang, но достаточно ли такого объяснения в 2026 году? Вместе с Данилой Поярковым, разработчиком более 50 open source проектов для Elixir с суммарно около миллиона скачиваний, разбираемся, что язык унаследовал от Erlang и BEAM, где его используют сегодня и насколько зрелой стала его экосистема. Обсуждаем Phoenix и LiveView, мет…

🔥8❤6👍3

20 Jul 2026, 16:01 UTC≈2,910 views30 reactionsread 20 August 2026
Photo

Podlodka #486 – Spec-Driven Development В разработке с агентами нам больше всего не хватает контроля за результатом и уверенности в нем. Один из способов их получить – использовать подход Spec-Driven Development, в котором перед тем, как отправить агента писать код, мы готовим ему понятное описание задачи и с продуктовой, и с архитектурной стороны. Вместе с Алексеем Верховским, мейнтейнером фреймворка BMAD, мы разби…

🔥21❤5👍2❤‍🔥1👎1

17 Jul 2026, 14:53 UTC≈2,400 views70 reactionsread 20 August 2026
Forwarded from @itsmirnovPhoto

Егор Толстой – ведущий подкаста Podlodka и человек, прошедший за 7 лет путь от руководителя кластера в Avito до первого продакта Kotlin и VP по продукту в JetBrains. Правда, затем выгорел, думал уйти в саббатикал, но обнаружил, что не работать тоже надо уметь, и вернулся руководителем продукта в AI-стартап CodeSpeak. Поговорили о том, чем продакт языка программирования отличается от обычного продакта, почему Егор пр…

🤡37❤18🔥7❤‍🔥6👍1👎1

17 Jul 2026, 14:53 UTC≈2,150 views20 reactionsread 20 August 2026

Тем временем один ведущий Подлодки (Егор) сходил в гости в подкаст к другому ведущему (Андрею) и рассказал о своей новой работе, самой Подлодке и проектах, которые успели из неё вырасти, а также о том, что нас всех ждёт в мире с AI.

🤡14👍2😍2👎1🔥1

Showing the 12 most recent of 27 posts we hold for @podlodkanews. 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

Named by 6 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

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This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 24 September 2026 — this entry's latest reading, not the date you are reading this.

“Podlodka Podcast – анонсы и новости подкаста про IT” (@podlodkanews), 7,236 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/podlodkanews.

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.