Telegram RegisterThe public register of Telegram
Telegram profile photo for Prog books

Channel

Prog books

@frontendbooksit

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

12,607subscribers

-116 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001543970929
TypeChannel
Username@frontendbooksit
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live6 November 2026
Measurements held57
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/frontendbooksit

Topic

Education — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.

Growth

12,60512,72312,6647 August 2026 — 12,723 subscribers7 August 2026 — 12,723 subscribers7 August 2026 — 12,720 subscribers8 August 2026 — 12,718 subscribers9 August 2026 — 12,715 subscribers10 August 2026 — 12,712 subscribers11 August 2026 — 12,711 subscribers12 August 2026 — 12,708 subscribers14 August 2026 — 12,706 subscribers15 August 2026 — 12,704 subscribers16 August 2026 — 12,705 subscribers17 August 2026 — 12,700 subscribers19 August 2026 — 12,694 subscribers20 August 2026 — 12,693 subscribers21 August 2026 — 12,691 subscribers22 August 2026 — 12,694 subscribers24 August 2026 — 12,696 subscribers25 August 2026 — 12,695 subscribers26 August 2026 — 12,685 subscribers27 August 2026 — 12,689 subscribers28 August 2026 — 12,685 subscribers29 August 2026 — 12,679 subscribers30 August 2026 — 12,677 subscribers1 September 2026 — 12,694 subscribers2 September 2026 — 12,695 subscribers4 September 2026 — 12,698 subscribers6 September 2026 — 12,699 subscribers9 September 2026 — 12,684 subscribers12 September 2026 — 12,679 subscribers14 September 2026 — 12,676 subscribers15 September 2026 — 12,672 subscribers17 September 2026 — 12,669 subscribers28 September 2026 — 12,665 subscribers5 October 2026 — 12,642 subscribers9 October 2026 — 12,633 subscribers13 October 2026 — 12,624 subscribers14 October 2026 — 12,623 subscribers15 October 2026 — 12,618 subscribers16 October 2026 — 12,615 subscribers17 October 2026 — 12,617 subscribers19 October 2026 — 12,626 subscribers20 October 2026 — 12,625 subscribers21 October 2026 — 12,632 subscribers22 October 2026 — 12,625 subscribers23 October 2026 — 12,627 subscribers24 October 2026 — 12,625 subscribers26 October 2026 — 12,618 subscribers28 October 2026 — 12,612 subscribers29 October 2026 — 12,613 subscribers30 October 2026 — 12,614 subscribers31 October 2026 — 12,616 subscribers1 November 2026 — 12,611 subscribers2 November 2026 — 12,608 subscribers3 November 2026 — 12,607 subscribers4 November 2026 — 12,605 subscribers5 November 2026 — 12,606 subscribers6 November 2026 — 12,607 subscribers12,6077 August 20266 November 2026
57 measurements spanning 91 days, net -116. 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 12,587–12,741 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)SubscribersChange
6 Nov 2026, 09:3712,607+1
5 Nov 2026, 06:3912,606+1
4 Nov 2026, 08:3812,605-2
3 Nov 2026, 09:5712,607-1
2 Nov 2026, 12:0812,608-3
1 Nov 2026, 15:0912,611-5
31 Oct 2026, 12:5812,616+2
30 Oct 2026, 11:4512,614+1
29 Oct 2026, 13:4612,613+1
28 Oct 2026, 15:4012,612-6
26 Oct 2026, 11:4912,618-7
24 Oct 2026, 12:0812,625-2
23 Oct 2026, 12:3512,627+2
22 Oct 2026, 14:1612,625-7
21 Oct 2026, 06:3012,632+7
20 Oct 2026, 04:2712,625-1
19 Oct 2026, 01:2812,626+9
17 Oct 2026, 21:5912,617+2
16 Oct 2026, 23:3612,615-3
15 Oct 2026, 20:4512,618first reading

Engagement

29 posts held, back to 1 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 55 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.15%
avg views ÷ 12,607 subscribers
Avg views / post
901
2 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
2
of 29 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
WindowRolling 30 days · latest post in window 17 October 2026
Posts held29 (1 May 2026 – 17 October 2026)
Views total1,802
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 06:58 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
1m 04s
Average length
32s

Measured directly from 2 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 2 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).

17 Oct 2026, 09:36 UTC802 viewsread 6 November 2026
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8 Oct 2026, 10:49 UTC≈1,000 viewsread 6 November 2026
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📌Baseten выпустила бесплатный учебник по инженерии инференса Платформа, которая хостит модели Cursor, Notion и Harvey, выложила в открытый доступ книгу Inference Engineering за авторством Филипа Кайли. который четыре года работает в Baseten и написал её по интервью с инженерами компании и собственным докладам. Среди рецензентов - автор FlashAttention Три Дао. Книга собирает в одном месте путь от выбора модели и G…

6 Oct 2026, 10:50 UTC≈1,000 viewsread 6 November 2026
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4 Oct 2026, 10:24 UTC≈1,310 viewsread 6 November 2026
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10 Sept 2026, 09:30 UTC≈1,840 viewsread 6 November 2026

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8 Sept 2026, 10:30 UTC≈1,590 viewsread 6 November 2026

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26 Aug 2026, 10:34 UTC≈1,910 viewsread 6 November 2026
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Showing the 12 most recent of 29 posts we hold for @frontendbooksit. 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

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.

Learn Code With Durgesh ✅
@learncodewithdurgesh · 21,038
Telegram ranks this channel #43 of 62 here — alongside 61 others — read 23 September 2026
Python learning
@python3learning · 22,197
Telegram ranks this channel #56 of 71 here — alongside 70 others — read 20 September 2026
Remote Jobs — Daily LinkedIn Picks 💼
@Jobs204 · 23,210
Telegram ranks this channel #70 of 80 here — alongside 79 others — read 20 September 2026

This channel appears in 3 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“Prog books” (@frontendbooksit), 12,607 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/frontendbooksit.

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.