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Channel

s6ptember

@septemberburned

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

2,641subscribers

+37 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002176080341
TypeChannel
Username@septemberburned
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live30 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/septemberburned

Growth

2,6042,6412,622.57 August 2026 — 2,604 subscribers7 August 2026 — 2,604 subscribers8 August 2026 — 2,605 subscribers11 August 2026 — 2,620 subscribers14 August 2026 — 2,627 subscribers17 August 2026 — 2,632 subscribers20 August 2026 — 2,630 subscribers24 August 2026 — 2,637 subscribers27 August 2026 — 2,640 subscribers30 August 2026 — 2,641 subscribers7 August 202630 August 2026
10 measurements spanning 23 days, net +37. 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 2,598–2,647 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 06:562,641+1
27 Aug 2026, 05:572,640+3
24 Aug 2026, 06:452,637+7
20 Aug 2026, 13:382,630-2
17 Aug 2026, 21:132,632+5
14 Aug 2026, 17:382,627+7
11 Aug 2026, 00:122,620+15
8 Aug 2026, 00:052,605+1
7 Aug 2026, 18:472,604no change
7 Aug 2026, 18:272,604first reading

Engagement

18 posts held, back to 26 July 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.

ERR · 30 days
38.7%
avg views ÷ 2,641 subscribers
Avg views / post
1,020
9 posts measured
Reaction rate
1.52%
reactions ÷ views · ER floor
Posts in window
10
of 18 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 7 August 2026
Posts held18 (26 July 20267 August 2026)
Views total9,205
Reactions total140
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 18:47 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
10s
Average length
5s

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.

Reaction mix

323 reactions across 16 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💔323100.0%

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 16 of the 18 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 323reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 26 July 2026 to 7 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.

Telegram Stars

Stars received
7
across the posts below
Posts paid on
5
of 17 we hold a reading for · 29%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @septemberburned. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 18 most recent posts we hold for this entry, published 26 July 2026 to 7 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

7 Aug 2026, 12:26 UTC674 views11 reactionsread 7 August 2026

Sonnet на каждом сообщении, но с низким чеком за токены В контекст агента загружено полное меню всех восьми точек: состав, калории, аллергены, зоны доставки, часы работы, время приготовления и текущие акции. Это большой блок, и он должен доезжать до модели на каждом сообщении, потому что любой ответ опирается на всё меню сразу, а не на его кусок. По обычной арифметике токенов такой проект не взлетает, ведь ты платиш

💔11

7 Aug 2026, 12:26 UTC664 views10 reactionsread 7 August 2026
Photo

На скрине пример с тестового аккаунта.

💔10

5 Aug 2026, 14:07 UTC≈1,010 views10 reactionsread 7 August 2026
Photo

Photo, posted without a caption

💔10

5 Aug 2026, 14:07 UTC987 views12 reactionsread 7 August 2026

Как выглядит типичный проект на ИИ-интеграцию изнутри Расскажу на живом примере, чтобы не выдумывать абстракции. Суши-бар, восемь филиалов, около 90% заказов приходит в инстаграм-директ. Владелец пришёл с понятной проблемой: поток сообщений растёт быстрее, чем администраторы успевают отвечать, а каждый директ, до которого не дошли руки за десять минут - это заказ, ушедший к соседям. Собрали ИИ-оператора под Meta AP

💔12

4 Aug 2026, 17:39 UTC≈1,070 views15 reactionsread 7 August 2026

Почему я не беру n8n ни на один проект? Вопрос про n8n и make прилетает в каждом втором разговоре, так что отвечу один раз и развёрнуто. Пока задача укладывается в готовые ноды, визуальные платформы действительно помогают быстро: собрал цепочку из вебхука, запроса к модели и записи в таблицу, и через час оно уже работает. На демо такое выглядит отлично, и я понимаю, почему люди привязываются к этому. Ломается всё

💔15

4 Aug 2026, 17:37 UTC≈1,040 views8 reactionsread 7 August 2026
Video

Про ИИ-интеграцию меня спрашивают чаще, чем про всё остальное вместе взятое, и вопросы повторяются из раза в раз: на чём это пишется, как выглядит проект целиком, сколько стоит гонять модель на каждом сообщении и кто вообще за такое платит. Уложить ответ в один пост не получится - тема слишком обширна, поэтому разбил на пять частей. 1. На чём я собираю интеграции и почему не беру n8n 2. Как выглядит типичный проект

💔8

3 Aug 2026, 11:45 UTCviews —

s6ptember pinned «Передаю свой пайплайн целиком Ролик вышел: https://youtu.be/YoJj-1JZki4 Внутри два сайта заметок на одной модели. Левый написан по одной строчке промпта на high effort: восемь ошибок тайпчека, ноль тестов, ноль коммитов. Правый собран по пайплайну: ноль…»

3 Aug 2026, 11:43 UTC≈1,200 views27 reactions3 Starsread 7 August 2026
File

File, posted without a caption

💔27

3 Aug 2026, 11:43 UTC≈1,230 views31 reactions1 Starread 7 August 2026

Передаю свой пайплайн целиком Ролик вышел: https://youtu.be/YoJj-1JZki4 Внутри два сайта заметок на одной модели. Левый написан по одной строчке промпта на high effort: восемь ошибок тайпчека, ноль тестов, ноль коммитов. Правый собран по пайплайну: ноль ошибок, двадцать пять тестов, пятнадцать коммитов. Ниже памятка, как поднять это у себя. Файлы прикрепил к посту. Что в файлах? • team-spec-prompt: мета-промпт,

💔31

2 Aug 2026, 14:19 UTC≈1,330 views16 reactionsread 7 August 2026

Я пользовался скиллами, которых нет в Claude Code Три штуки: architecture, code-review, testing-strategy. Узнал о них от браузерной версии Клода, которая их знает и вызывает сама, когда видит подходящую задачу. Захотел то же самое в терминале, открыл маркетплейс и не нашёл ничего, а Claude Code на прямой вопрос ответил, что таких скиллов не знает. Пришлось разобраться... Anthropic держит три отдельных репозитория

💔16

31 Jul 2026, 16:03 UTC≈1,490 views38 reactions1 Starread 7 August 2026

Записал новый ролик про свой пайплайн, сейчас на монтаже. Внутри простой эксперимент: беру сайт заметок и собираю его дважды. Первый раз одной строчкой промпта на high effort, второй раз по своему пайплайну. Модель одна, задача одна, различается только подход. Первый вариант работает и открывается в браузере, но внутри ноль коммитов, ноль тестов, восемь ошибок тайпчека и валидация, продублированная в двух файлах. Во

💔38

Showing the 12 most recent of 18 posts we hold for @septemberburned. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

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

“s6ptember” (@septemberburned), 2,641 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/septemberburned.

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.