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Channel

Логово верстальщика

@webdevlair

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

7,813subscribers

-336 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-1001351279015
TypeChannel
Username@webdevlair
DescriptionЛогово верстальщиков: HTML, CSS, JavaScript, практики современной верстки, вайбкодинг и использование ИИ в разработке. Личный блог автора - @just_genych По вопросам рекламы или разработки: @g_abashkin
Created21 November 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live8 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/webdevlair

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 7 other registered channels. This entry also sits inside a group of 8 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@frontendnoteschannel_ru/569627 Jul 2026, 19:27 UTC@webdevlair/4422 · this entry27 Jul 2026, 19:27 UTC1.00under a minute
@frontendnoteschannel_ru/570129 Jul 2026, 06:07 UTC@webdevlair/4426 · this entry29 Jul 2026, 06:07 UTC1.00under a minute
@webdevlair/4455 · this entry8 Aug 2026, 13:37 UTC@frontendnoteschannel_ru/57258 Aug 2026, 13:37 UTC1.00under a minute
@webdevlair/4457 · this entry10 Aug 2026, 12:07 UTC@frontendnoteschannel_ru/572610 Aug 2026, 12:07 UTC1.00under a minute
@webdevlair/4491 · this entry18 Aug 2026, 10:07 UTC@frontendnoteschannel_ru/575918 Aug 2026, 10:07 UTC1.00under a minute
@frontendnoteschannel_ru/576620 Aug 2026, 06:07 UTC@webdevlair/4495 · this entry20 Aug 2026, 13:37 UTC1.007.5 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@frontendnoteschannel_ru26 (8/8 hand-verifiable sample passed)1.00under a minute@frontendnoteschannel_ru (17–9)
@we_use_js22 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (15–7)
@devsp21 (8/8 hand-verifiable sample passed)1.00under a minute@devsp (13–8)
@qa_logia17 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (12–5)
@xCode_Journal16 (8/8 hand-verifiable sample passed)1.0026 hours@xCode_Journal (16–0)
@python_tesst15 (8/8 hand-verifiable sample passed)1.00under a minute@python_tesst (11–4)
@true_js12 (8/8 hand-verifiable sample passed)1.00under a minute@true_js (8–4)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 47 of the 77 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 66 comparable posts for this entry, running 24 July 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 8 channels, the one whose matching posts we hold earliest is @devsp. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 8 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

7,8138,1497,9816 August 2026 — 8,149 subscribers6 August 2026 — 8,149 subscribers7 August 2026 — 8,145 subscribers10 August 2026 — 8,125 subscribers14 August 2026 — 8,096 subscribers17 August 2026 — 8,082 subscribers20 August 2026 — 8,064 subscribers24 August 2026 — 8,047 subscribers27 August 2026 — 8,035 subscribers30 August 2026 — 8,027 subscribers2 September 2026 — 8,015 subscribers7 September 2026 — 8,005 subscribers11 September 2026 — 8,000 subscribers15 September 2026 — 7,987 subscribers27 September 2026 — 7,961 subscribers5 October 2026 — 7,934 subscribers11 October 2026 — 7,914 subscribers14 October 2026 — 7,896 subscribers17 October 2026 — 7,890 subscribers20 October 2026 — 7,881 subscribers23 October 2026 — 7,870 subscribers26 October 2026 — 7,860 subscribers29 October 2026 — 7,852 subscribers1 November 2026 — 7,842 subscribers5 November 2026 — 7,830 subscribers8 November 2026 — 7,813 subscribers6 August 20268 November 2026
26 measurements spanning 94 days, net -336. 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 7,763–8,199 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
8 Nov 2026, 16:497,813-17
5 Nov 2026, 07:267,830-12
1 Nov 2026, 20:557,842-10
29 Oct 2026, 17:207,852-8
26 Oct 2026, 23:297,860-10
23 Oct 2026, 18:457,870-11
20 Oct 2026, 14:317,881-9
17 Oct 2026, 20:207,890-6
14 Oct 2026, 19:407,896-18
11 Oct 2026, 07:007,914-20
5 Oct 2026, 09:557,934-27
27 Sept 2026, 17:217,961-26
15 Sept 2026, 11:557,987-13
11 Sept 2026, 14:588,000-5
7 Sept 2026, 00:218,005-10
2 Sept 2026, 19:198,015-12
30 Aug 2026, 15:068,027-8
27 Aug 2026, 17:038,035-12
24 Aug 2026, 09:098,047-17
20 Aug 2026, 19:128,064first reading

Engagement

92 posts held, back to 24 July 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 45 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.82%
avg views ÷ 7,813 subscribers
Avg views / post
454
28 posts measured
Reaction rate
0.239%
reactions ÷ views · ER floor
Posts in window
29
of 92 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 8 of 28 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 10 November 2026
Posts held92 (24 July 2026 – 10 November 2026)
Views total12,722
Reactions total10
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 20:50 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
≈1,220
Videos
≈75
Links
≈2,060

Lifetime counters from Telegram’s own channel header, read 10 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
5m 06s
Average length
44s

Measured directly from 7 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

74 reactions across 38 posts, in 5 distinct kinds. The most used accounts for 36.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁2736.5%
❤2331.1%
👍912.2%
🔥912.2%
👎68.11%

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 42 of the 92 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 74 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 92 most recent posts we hold, published 24 July 2026 to 10 November 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

Telegram’s own ‘edited’ marker: 0 of 29 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

10 Nov 2026, 18:07 UTC147 viewsread 10 November 2026
Video

Fable 5.2 пришёл по душу геймдева — в сети разгоняют проекты, которые ИИ собрал буквально с пары промптов. Вот несколько диких примеров. Модель забацала 3D-шутер с картинкой в духе AAA: сама сгенерила текстуры и звуки, построила мир и механику — 8 часов, $550. Потыкать можно тут. Ещё один разраб собрал реалистичную виртуальную Землю: по ней можно путешествовать, ломать объекты, а погода там меняется в реальном време…

10 Nov 2026, 15:07 UTC204 viewsread 10 November 2026
Photo

🖥Если ты хочешь обучиться вайбкодингу и при этом иметь возможность провести аудит безопасности своего продукта, то тебе сюда: Lab IT — репозитории, полезные инструменты, курсы и многое другое по Айти: ЭЙ, АЙ! — бесплатные инструменты, репозитории, обучающие материалы для упрощения работы с ИИ. ИИ тебя взломает — объединит твои навыки в ИБ с ИИ CyberGuard — оплот для ИБ-специалистов со всего телеграма. Тут ты точн…

10 Nov 2026, 10:39 UTC269 viewsread 10 November 2026
Photo

Как ИИ прокачал JavaScript-проект для физических экспериментов В статье рассказывают, как с помощью ИИ модернизировали JS-проект под моделирование физических экспериментов. В готовой программе собраны опыты из разделов: механика, механические колебания, гидростатика. При разработке — только Vanilla JS. Никаких сторонних библиотек. Читать далее 👉 Telegram | 🌥 Claude и другие ИИ

9 Nov 2026, 09:07 UTC291 viewsread 10 November 2026
Photo

Локальная программа сменила облик: стеклянные карточки на CSS, боковая панель и плеер, который ползёт за страницей Это очередная серия про «Универсальный скачиватель» — виндовую программу, которая тянет видео и музыку через yt-dlp. В прошлый раз автор разбирал, как заворачивал консольную утилиту так, чтобы с ней справился кто угодно. Сейчас речь про 1.4. В ней нового функционала почти нет — просто перетряхнули внеш…

8 Nov 2026, 14:56 UTC303 viewsread 10 November 2026
Photo

Redux Toolkit тащится к 3.0 Марк Эриксон выкатил роадмап Redux — и заодно пролистал историю назад. RTK 3.0 подъедет через шесть–восемь месяцев: проекту пропишут ESM-only, а breaking changes по размаху обещают уровня React 19. Но сначала будет серия релизов 2.x — они подведут базу. Первый, 2.14, уже на этой неделе. React Status #496 👉 Telegram | 🌥 Claude и другие ИИ

6 Nov 2026, 17:07 UTC350 viewsread 10 November 2026
Photo

Мой базовый CSS-набор под любой проект Автор ещё застал то время, когда фронтендеры бодро делились собственными велосипедами: реально каждый день попадались статьи про то, какую крутую штуку соорудил очередной автор. Сам он нового ничего не соорудил, но хочет показать набор базовых стилей, который применяет во всех проектах. Внутри — и старые фишки, и малоизвестные, и новые. Читать далее 👉 Telegram | 🌥 Claude и др…

6 Nov 2026, 09:07 UTC406 viewsread 10 November 2026
Photo

Nolan Lawson заставил Claude наклепать один и тот же апп по пять раз в каждом из двенадцати JS-стеков — проверить расхожие байки в духе «вот X, он лучше для агентов». Цена от запуска к запуску прыгала заметно, а Gautam Parab выяснил: у большинства пар фреймворков наблюдаемые диапазоны стоимости то пересекаются, то упираются друг в друга вплотную. Куда честнее разница вылезла в медиане JS, который улетает в браузер: …

5 Nov 2026, 13:07 UTC416 views1 reactionsread 10 November 2026
Photo

Safari научится сама перекрашивать светлые сайты в тёмную тему В бете Safari 27.3 завезли необязательную фичу Adaptive Dark Mode: она сама подгоняет светлые сайты под тёмное оформление. Логика простая: примерно 40% загрузок страниц идут от людей с включённой тёмной темой, а напрямую её поддерживают лишь 10% загрузок страниц. Подробности — в выпуске Frontend Focus #765 👉 Telegram | 🌥 Claude и другие ИИ

😁1

4 Nov 2026, 09:07 UTC472 viewsread 10 November 2026
Video

GPT-6 Astra подняла математику Qwen в 6 раз — и без дообучения Команда из MIT попросила Astra выяснить, почему маленькая Qwen3.5-0.8B так плохо щёлкает математику. Причина оказалась не в магии: модель застревала в рассуждениях и не успевала дойти до ответа. Astra сама подкрутила 0,016% весов — 131 тысячу параметров из 800 миллионов. И этого хватило, чтобы всё поехало. На MATH-500 результат вырос с 8% до 48%, на шко…

Showing the 12 most recent of 92 posts we hold for @webdevlair. 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.

Posts recorded as deleted after publishing

We recorded 14 posts on @webdevlair as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
9 August 2026
Most recent seen missing
9 November 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
5

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 7 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.

Сайтодел | GitHub, Верстка, Сайты, Вайбкодинг
@sitodel · 25,423
Telegram ranks this channel #7 of 89 here — alongside 88 others — read 13 September 2026
Frontender's notes [ru]
@frontendnoteschannel_ru · 30,770
Telegram ranks this channel #9 of 95 here — alongside 94 others — read 6 September 2026
Frontend Portal
@FrontendPortal · 36,268
Telegram ranks this channel #9 of 90 here — alongside 89 others — read 1 September 2026
Code Ready | Frontend
@code_ready · 21,534
Telegram ranks this channel #11 of 89 here — alongside 88 others — read 23 September 2026
Вайб-кодинг
@vibecoding_tg · 79,346
Telegram ranks this channel #11 of 85 here — alongside 84 others — read 1 September 2026
Макеты для верстки
@figma2html · 44,399
Telegram ranks this channel #14 of 90 here — alongside 89 others — read 27 August 2026
Senior Frontend - javascript, html, css
@seniorFront · 23,495
Telegram ranks this channel #15 of 89 here — alongside 88 others — read 17 September 2026
Senior Frontend Developer | JavaScript, React, HTML & CSS
@senior_front · 18,893
Telegram ranks this channel #29 of 90 here — alongside 89 others — read 2 October 2026
FrontEndDev
@front_end_dev · 25,428
Telegram ranks this channel #30 of 95 here — alongside 94 others — read 13 September 2026
True Figma
@true_figma · 25,617
Telegram ranks this channel #33 of 88 here — alongside 87 others — read 13 September 2026
Веб-страница
@tproger_web · 22,164
Telegram ranks this channel #34 of 96 here — alongside 95 others — read 20 September 2026
Open IT | Архив
@openit_archive · 18,760
Telegram ranks this channel #39 of 59 here — alongside 58 others — read 5 October 2026
IT Portal
@IT_Portal · 119,243
Telegram ranks this channel #44 of 78 here — alongside 77 others — read 15 August 2026
Библиотека фронтендера | Frontend, JS, JavaScript, React.js, Angular.js, Vue.js
@frontendproglib · 20,611
Telegram ranks this channel #48 of 93 here — alongside 92 others — read 25 September 2026
Английский для программиста | EnglishScript
@EnglishScript · 44,381
Telegram ranks this channel #52 of 82 here — alongside 81 others — read 27 August 2026

This channel appears in 15 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 November 2026 — this entry's latest reading, not the date you are reading this.

“Логово верстальщика” (@webdevlair), 7,813 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/webdevlair.

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.