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Channel

Golang вопросы собеседований

@golang_interview

On this record: Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

15,055subscribers

+60 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001506243534
TypeChannel
Username@golang_interview
CreatedBetween 1 June 2021 and 31 March 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live8 September 2026
Measurements held29
Confirmed unchanged1 time, most recently 8 September 2026
On Telegramt.me/golang_interview

Growth

14,99115,05515,0236 August 2026 — 14,995 subscribers6 August 2026 — 14,995 subscribers6 August 2026 — 14,991 subscribers7 August 2026 — 14,995 subscribers8 August 2026 — 14,992 subscribers9 August 2026 — 14,994 subscribers10 August 2026 — 14,993 subscribers11 August 2026 — 15,000 subscribers13 August 2026 — 14,997 subscribers14 August 2026 — 15,002 subscribers16 August 2026 — 15,005 subscribers17 August 2026 — 15,004 subscribers18 August 2026 — 15,006 subscribers19 August 2026 — 15,009 subscribers20 August 2026 — 15,003 subscribers21 August 2026 — 14,996 subscribers22 August 2026 — 15,001 subscribers24 August 2026 — 14,997 subscribers25 August 2026 — 15,001 subscribers26 August 2026 — 15,002 subscribers27 August 2026 — 15,007 subscribers28 August 2026 — 15,012 subscribers29 August 2026 — 15,017 subscribers30 August 2026 — 15,021 subscribers31 August 2026 — 15,028 subscribers1 September 2026 — 15,032 subscribers2 September 2026 — 15,039 subscribers3 September 2026 — 15,054 subscribers8 September 2026 — 15,055 subscribers6 August 20268 September 2026
29 measurements spanning 33 days, net +60. 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 14,981–15,065 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)SubscribersChange
8 Sept 2026, 12:3815,055+1
3 Sept 2026, 16:1715,054+15
2 Sept 2026, 05:2715,039+7
1 Sept 2026, 04:3315,032+4
31 Aug 2026, 03:2715,028+7
30 Aug 2026, 06:1315,021+4
29 Aug 2026, 05:1315,017+5
28 Aug 2026, 05:0815,012+5
27 Aug 2026, 04:4415,007+5
26 Aug 2026, 05:5615,002+1
25 Aug 2026, 08:3215,001+4
24 Aug 2026, 08:5714,997-4
22 Aug 2026, 19:5815,001+5
21 Aug 2026, 09:3814,996-7
20 Aug 2026, 11:2215,003-6
19 Aug 2026, 10:1715,009+3
18 Aug 2026, 11:4215,006+2
17 Aug 2026, 12:1615,004-1
16 Aug 2026, 03:5415,005+3
14 Aug 2026, 16:0315,002first reading

Engagement

34 posts held, back to 19 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 55 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.3%
avg views ÷ 15,055 subscribers
Avg views / post
2,610
14 posts measured
Reaction rate
0.634%
reactions ÷ views · ER floor
Posts in window
14
of 34 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. It is computed over the 13 of 14 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 1 September 2026
Posts held34 (19 June 20261 September 2026)
Views total36,520
Reactions total222
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 10:58 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

Video runtime
24s
Average length
24s

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

462 reactions across 32 posts, in 12 distinct kinds. The most used accounts for 33.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥15333.1%
👍13429.0%
11825.5%
🥰224.76%
🤔163.46%
😁40.866%
❤‍🔥30.649%
👏30.649%
🥱30.649%
😍20.433%
🤩20.433%
🥴20.433%

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 33 of the 34 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 481 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 34 most recent posts we hold, published 19 June 2026 to 1 September 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
8.82%
3 of 34 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
2,360
over 3 measured posts
Median views · rest
3,580
over 31 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. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqvSBEDR122 August 202622 August 2026
2VtzqwHScUr114 July 202614 July 2026
2VtzqxV7pKd11 September 20261 September 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 34 most recent posts we hold, published 19 June 2026 to 1 September 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

1 Sept 2026, 11:01 UTC≈2,070 views5 reactionsread 3 September 2026
Photo

Spinifex - open-source платформа с AWS-совместимым API для запуска инфраструктуры на собственном железе. Проект позволяет поднимать сервисы, похожие на: - EC2 - VPC - S3 - EBS Всё работает на bare metal и остаётся под полным контролем владельца инфраструктуры. Spinifex рассчитан на сценарии, где обычное облако использовать нельзя или нежелательно: - edge-площадки - частные дата-центры - среды с плохой связью - и

👏21👍1🔥1

1 Sept 2026, 08:59 UTC≈1,480 viewsread 3 September 2026
Advertisementerid 2VtzqxV7pKdPhoto

🔴 Тестовое собеседование с Go Senior с опытом работы в Яндексе, EPAM и Uzum в этот четверг 3 сентября(в четверг!) в 19:00 по мск приходи онлайн на открытое собеседование, чтобы посмотреть на настоящее интервью на Middle Go-разработчика. Как это будет: 📂 Маруф Караев, Senior в европейской компании, ex-Uzum, ex-Яндекс, ex-EPAM будет задавать реальные вопросы и задачи разработчику-добровольцу 📂 Маруф будет комментиров

31 Aug 2026, 13:18 UTC≈1,900 views19 reactionsread 3 September 2026
Photo

🔥 В Go есть странная, но полностью валидная конструкция: error.Error(errors.ErrUnsupported) Почему это работает: - errors.ErrUnsupported — реальная ошибка из пакета errors - error — интерфейс - Error — его метод - метод в Go можно вызвать как обычную функцию через method expression Поэтому: err := errors.New("oops") err.Error() error.Error(err) дадут одинаковый результат. А: error.Error(errors.ErrUnsuppor

👍7🔥63😁3

28 Aug 2026, 12:02 UTC≈2,530 views16 reactionsread 3 September 2026

🔥 diffyml - быстрый структурный diff для YAML и Kubernetes Вместо обычного сравнения строк инструмент понимает структуру YAML и показывает реальные изменения в данных. Что умеет: - сравнивать Kubernetes-ресурсы по apiVersion + kind + name - находить переименования ресурсов - сравнивать директории - подсвечивать изменения внутри строк - работать как git external diff - отдавать аннотации для GitHub, GitLab и Gitea

8👍4🥰4

24 Aug 2026, 15:03 UTC≈3,130 views23 reactionsread 3 September 2026
Photo

10 GitHub-репозиториев, которые стоит сохранить Go-разработчику в 2026 году. 1. Golang Roadmap 2026 🇷🇺 Один из самых полных свежих roadmap на русском: 19 модулей от синтаксиса и concurrency до PostgreSQL, gRPC, Kubernetes, observability, distributed systems, eBPF, Wasm и AI-агентов. В каждом модуле есть практика и проекты. github.com/Develp10/golangroadmap2026 2. Learn Go with Tests Один из лучших способов реаль

17👍2🥰2😍2

23 Aug 2026, 12:01 UTC≈2,650 views10 reactionsread 3 September 2026
Photo

Полный инженерный курс по AI-агентам на русском: от tool calling до production Курс инженерный, а не обзорный. Здесь почти нет рассуждений о том, «изменит ли ИИ мир», зато есть: минимальные работающие реализации каждого механизма, лабораторные с критериями приёмки, шаблоны для копирования, чек-листы перед релизом, каталог антипаттернов и набор бенчмарков, по которым можно честно сравнить две версии своего агента.

👍72🥰1

22 Aug 2026, 16:15 UTC≈1,700 views27 reactionsread 3 September 2026
Forwarded from @Golang_googlePhoto

👣 В Go 1.27 появился почти настоящий LINQ Автор go-linq показал новую версию библиотеки для Go 1.27, которая позволяет писать типобезопасные цепочки запросов в стиле LINQ: From(users). Where(...). Join(...). ToSlice() Главная цель проекта - получить удобство LINQ без привычной цены в виде большого runtime-overhead. По словам автора, производительность уже близка к вручную написанным циклам, а дальше

🤔10👍8🔥5🥰21👏1

22 Aug 2026, 14:15 UTC≈2,360 views4 reactionsread 3 September 2026
Advertisementerid 2VtzqvSBEDRPhoto

Вам доклады по Go или Java? VK приглашает на митап с двойной начинкой 26 августа VK собирает Go- и Java-инженеров, чтобы прокачать знания. В программе два трека — Go и Java, по три доклада в каждом. Трек Go: • «Компиляция Go в динамическую либу, или как мы ускорили выкатку фичи в два раза, но нам не понравилось», Михаил Кичигин, бэкенд-разработчик, Avito Tech • «Go-платформа VK: как мы построили единую основу для с

👍2🔥2

22 Aug 2026, 09:36 UTC≈2,340 views9 reactionsread 3 September 2026
Photo

Julius от Praetorian - open source-инструмент, который по IP:Port или URL определяет, какой AI-сервис работает на endpoint. Он умеет распознавать больше 60 платформ: — Ollama — vLLM — SGLang — LiteLLM — llama.cpp — Hugging Face TGI — NVIDIA NIM — Open WebUI — Dify — AWS Bedrock и другие. Пример: julius probe 192.168.1.100:8080 Julius отправляет специальные HTTP-probes, анализирует ответы и пытается определить

4🔥3👍2

19 Aug 2026, 19:07 UTC≈2,450 views37 reactionsread 3 September 2026
Forwarded from @Golang_googlePhoto

👣 Google выпустила Go 1.27. Обновление затронуло язык, runtime, стандартную библиотеку и инструменты разработки. В язык наконец добавили generic methods. Теперь метод может работать сразу с разными типами без отдельных реализаций под int, int32, int64 и другие варианты. Ещё упростили инициализацию embedded-структур и расширили type inference для generic-функций. Runtime тоже ускорили. Для маленьких объектов до 80 б

🔥29🥰6👍2

19 Aug 2026, 13:01 UTC≈2,880 views3 reactionsread 3 September 2026
Photo

У SQLite один writer. И иногда это не ограничение, а очень удобная архитектура. Работал с SQLite и увидел необычную схему: база работала сразу на нескольких машинах, но запись всё равно шла только через одну. За это отвечал LiteFS. Он не пытается превратить SQLite в полноценную distributed database. Вместо этого одна машина выбирается primary через distributed lease и получает право писать. Остальные работают как

👍1🔥1🤔1

16 Aug 2026, 12:14 UTC≈3,880 views33 reactionsread 3 September 2026
Photo

🐹 Go 1.27 ускоряет мелкие аллокации в куче почти в 2 раза — и для этого не нужно менять ни строчки кода. На тесте с объектом размером 16 байт: Go 1.26 → ~9,5 нс Go 1.27 → ~5,5 нс Причина в самом аллокаторе. Раньше даже для маленьких объектов компилятор вызывал одну универсальную функцию, а runtime уже определял нужный size class: 8, 16, 24, 32 байта и т.д. В Go 1.27 для объектов меньше 80 байт появились специали

👍19🔥104

Showing the 12 most recent of 34 posts we hold for @golang_interview. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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.

Golang
@Golang_google · 40,433
Telegram ranks this channel #2 of 90 here — alongside 89 others — read 30 August 2026
Data Science. SQL hub
@sqlhub · 35,971
Telegram ranks this channel #34 of 87 here — alongside 86 others — read 2 September 2026
Ozon Tech
@ozon_tech · 29,679
Telegram ranks this channel #41 of 98 here — alongside 97 others — read 8 September 2026
Библиотека программиста
@proglibrary · 78,398
Telegram ranks this channel #55 of 82 here — alongside 81 others — read 19 August 2026
Linux Academy
@linuxacademiya · 28,366
Telegram ranks this channel #57 of 84 here — alongside 83 others — read 9 September 2026
Kali Linux
@linuxkalii · 55,243
Telegram ranks this channel #64 of 89 here — alongside 88 others — read 23 August 2026

This channel appears in 6 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 8 September 2026 — this entry's latest reading, not the date you are reading this.

“Golang вопросы собеседований” (@golang_interview), 15,055 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/golang_interview.

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.