ближайший поток здесь:
https://t.me/gptconf_bot?start=start
Поддержка: @gconfsupport
P.S. Мы не принимаем оплату через личные сообщения, только через бот.
Created
Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 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.
Growth
26 measurements spanning 100 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 8,692–8,882 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
14 Nov 2026, 10:16
8,714
-4
9 Nov 2026, 22:08
8,718
-27
3 Nov 2026, 18:41
8,745
-4
28 Oct 2026, 13:19
8,749
+1
25 Oct 2026, 11:56
8,748
+4
22 Oct 2026, 20:36
8,744
-17
20 Oct 2026, 00:05
8,761
-6
17 Oct 2026, 06:16
8,767
+3
14 Oct 2026, 13:04
8,764
-6
10 Oct 2026, 18:39
8,770
-23
5 Oct 2026, 01:57
8,793
-2
26 Sept 2026, 09:39
8,795
-51
17 Sept 2026, 12:41
8,846
-14
13 Sept 2026, 05:41
8,860
+5
9 Sept 2026, 14:21
8,855
+100
3 Sept 2026, 22:39
8,755
+3
31 Aug 2026, 12:34
8,752
-21
28 Aug 2026, 02:42
8,773
-19
25 Aug 2026, 01:36
8,792
-11
21 Aug 2026, 09:44
8,803
first reading
Engagement
50 posts held, back to 13 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 54 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.1%
avg views ÷ 8,714 subscribers
Avg views / post
1,140
16 posts measured
Reaction rate
1.32%
reactions ÷ views · ER floor
Posts in window
17
of 50 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
Window
Rolling 30 days · latest post in window 13 November 2026
Posts held
50 (13 July 2026 – 13 November 2026)
Views total
18,299
Reactions total
242
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 14:08 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
814
Videos
38
Links
341
Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
6m 37s
Average length
50s
Measured directly from 8 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
800 reactions across 49 posts, in 6 distinct kinds. The most used accounts for 47.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
378
47.3%
🔥
273
34.1%
⚡
81
10.1%
🦄
37
4.63%
👨💻
26
3.25%
🗿
5
0.625%
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 49 of the 50 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 800 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 50 most recent posts we hold, published 13 July 2026 to 13 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: 8 of 17 posts held from the last 30 days (47.1%) 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).
Оля отдала Codex озвучку – он собрал рилс без единой правки
у Оли есть рилсы, которые залетели. чтобы выпустить такой же ролик ещё раз, нужна новая сборка. она отдаёт агенту свою озвучку и кадры, а он пересобирает из них новый ролик
агент показывает раскадровку: можно выбрать другой кадр или убрать лишний. в ролике из видео Оля не поменяла ничего. следом вышла английская версия того же рилса
16 ноября в 11:00 мск …
что уже можно поручить агентам в своей жизни?
записали новый подкаст с Димой Мацкевичем и Лёшей Хахуновым – про то, как они сейчас пользуются ai в работе и обычных делах
собрать документы из переписок, продолжить задачу с телефона, сохранить удачный способ работы, чтобы не объяснять агенту всё заново. Дима и Лёша делятся своими настройками, привычками и тем, что у них прижилось
в выпуске:
– как устроена работа с …
с чем приходят на gconf
собрали запросы участников. возможно, вы найдете себя среди них
разгрузить себя на работе
письма клиентам, документы, аналитика, повторяющиеся задачи. хочется разобраться, что можно поручить агентам и как собрать из отдельных попыток работающую систему
собрать свою идею
сайт, бот, игра или свой сервис. хочется сделать первую версию, которую можно открыть, попробовать и показать другим. одна…
⚡️ расписание gconf 16
30 ноября – 21 декабря, время московское. сохраните картинку, чтобы прикинуть свой декабрь
ритм недели
вт 11:00 – встреча с Димой Мацкевичем или Олей Маркес
ср 13:00 – практика в зуме: пробуем вживую один мета-навык
чт 15:00 – QA: отвечаем на вопросы и помогаем с технической частью
пт 13:00 – демо-день: показываем, что получилось за неделю
сб – круг фрустрации 5 декабря и стрим 12 декабря
ка…
«я не технарь», «у меня нет времени», «начну и брошу»
после gconf 15 мы созвонились с участниками. у кого-то были ровно эти сомнения – вот как у них прошло
«я не технарь»
один участник год-два смотрел на агентов со стороны:
«я думал, блин, это надо программировать… я как бы продвинутый пользователь, но меня это пугало»
сейчас он голосом говорит агенту:
«сходи в страйп. делай invoice для этого клиента»
в первую…
Siri AI наконец-то добралась до айфонов – вот как её включить
настройки → основные → обновление ПО. обновитесь до последней версии, сейчас это iOS 27.2
на рабочем столе появится приложение Siri. открывайте и общайтесь с ней так же, как с chatgpt – голосом или с клавиатуры. я советую голосом
что она умеет. по сути это личный ассистент прямо в телефоне: работает с почтой, календарём и сообщениями. похоже на dots от …
самое человечное обучение ai. от людей для людей
каждый день в ai появляется что-то новое. мы изучаем это за вас: между потоками пробуем новые модели и ассистентов на себе, оставляем то, что работает сейчас, и пересобираем под это квесты. к прошлому потоку обновили больше половины материалов
что в gconf 16:
– ассистенты, которые делают, а не советуют: покажем, как отдать им почту, календарь, списки и планы
– каждый…
каждый раз не верится, что такое возможно
⚡️ 30 ноября стартуем gconf 16
как это будет? лучше всего показывает чат прошлого потока. вот что ребята принесли в ветку «у меня получилось!» на третьей неделе – их словами:
«я год не могла собрать информацию о проекте, а вот после созвона в пятницу за оставшееся время пути сложила проект вот в этот сайт: не идеально, буду еще допиливать, но все же уже презентовала его на…
используем chatgpt для дизайна
если вам нужно переделать картинку под другой формат, поменять фон или собрать обложку, а редактора и дизайнера под рукой нет – этот пост для вас
в чём разница. раньше с этим шли к дизайнеру или сами сидели час в фотошопе. сейчас можно загрузить картинку в chatgpt и сказать словами, что нужно: поменять размер, формат, вставить новый текст или вообще перерисовать с нуля по вашим инстру…
фреймворк для работы с любой задачей
если вы пишете чату «сделай мне план» или «напиши мне текст», получаете гладкий ответ и потом им не пользуетесь – этот пост для вас.
в чём разница. «сделай за меня» – это один запрос и один ответ. чат угадывает, что вы имели в виду, и выдаёт среднее по больнице. фреймворк – это короткий цикл, в котором вы сначала вместе с чатом разбираетесь в задаче, а уже потом просите результа…
третья серия. читаем книгу с ai
хочешь так же? по ссылочке забирай урок: как начать работать с codex в chatgpt
→ gconf 16 стартует 30 ноября
❤11🔥5⚡1
Showing the 12 most recent of 50 posts we hold for @gptlovers. 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 edited after publishing
@gptlovers edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
26 August 2026
Most recent edit
28 August 2026
Posts recorded as deleted after publishing
We recorded 2 posts on @gptlovers 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
12 August 2026
Most recent seen missing
12 November 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
1
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 3 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.
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.
Matskevich - brains, love and robots @Matskevich · 24,970 Telegram ranks this channel #6 of 98 here — alongside 97 others — read 14 September 2026
Olymarkes Daily @markesdaily · 27,565 Telegram ranks this channel #10 of 85 here — alongside 84 others — read 9 September 2026
sektaschool @sektaschool · 23,005 Telegram ranks this channel #19 of 84 here — alongside 83 others — read 26 September 2026
Dumik @dumik · 21,747 Telegram ranks this channel #51 of 98 here — alongside 97 others — read 21 September 2026
Это нормально @vintovkina_arina · 68,190 Telegram ranks this channel #76 of 82 here — alongside 81 others — read 20 August 2026
This channel appears in 5 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 14 November 2026 — this
entry's latest reading, not the date you are reading this.
“GCONF / AI LOVERS” (@gptlovers), 8,714 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/gptlovers.
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.