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Channel

AI Projects

@turboproject

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

13,729subscribers

+3,922 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-1001420733927
TypeChannel
Username@turboproject
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live3 November 2026
Measurements held54
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/turboproject

Topic

Technology — 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 99% 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

9,80713,72911,7686 August 2026 — 9,807 subscribers6 August 2026 — 9,807 subscribers6 August 2026 — 9,834 subscribers9 August 2026 — 9,898 subscribers12 August 2026 — 9,983 subscribers16 August 2026 — 10,075 subscribers17 August 2026 — 10,097 subscribers18 August 2026 — 10,110 subscribers19 August 2026 — 10,125 subscribers20 August 2026 — 10,137 subscribers21 August 2026 — 10,146 subscribers22 August 2026 — 10,166 subscribers24 August 2026 — 10,194 subscribers25 August 2026 — 10,215 subscribers26 August 2026 — 10,238 subscribers27 August 2026 — 10,265 subscribers28 August 2026 — 10,285 subscribers29 August 2026 — 10,294 subscribers30 August 2026 — 10,302 subscribers31 August 2026 — 10,313 subscribers1 September 2026 — 10,327 subscribers2 September 2026 — 10,351 subscribers4 September 2026 — 10,388 subscribers6 September 2026 — 10,457 subscribers9 September 2026 — 10,586 subscribers12 September 2026 — 10,668 subscribers13 September 2026 — 10,801 subscribers15 September 2026 — 10,862 subscribers17 September 2026 — 10,915 subscribers26 September 2026 — 11,330 subscribers4 October 2026 — 11,708 subscribers9 October 2026 — 11,944 subscribers13 October 2026 — 12,427 subscribers14 October 2026 — 12,518 subscribers15 October 2026 — 12,606 subscribers16 October 2026 — 12,667 subscribers18 October 2026 — 12,709 subscribers18 October 2026 — 12,739 subscribers19 October 2026 — 12,761 subscribers20 October 2026 — 12,807 subscribers22 October 2026 — 12,862 subscribers23 October 2026 — 12,890 subscribers24 October 2026 — 12,955 subscribers25 October 2026 — 13,040 subscribers26 October 2026 — 13,066 subscribers27 October 2026 — 13,091 subscribers28 October 2026 — 13,167 subscribers29 October 2026 — 13,370 subscribers30 October 2026 — 13,415 subscribers31 October 2026 — 13,526 subscribers1 November 2026 — 13,564 subscribers2 November 2026 — 13,605 subscribers3 November 2026 — 13,659 subscribers3 November 2026 — 13,729 subscribers6 August 20263 November 2026
54 measurements spanning 90 days, net +3,922. 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 9,219–14,317 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 54
Measured (UTC)SubscribersChange
3 Nov 2026, 21:5413,729+70
3 Nov 2026, 00:2413,659+54
2 Nov 2026, 03:5013,605+41
1 Nov 2026, 06:5413,564+38
31 Oct 2026, 09:4513,526+111
30 Oct 2026, 06:3113,415+45
29 Oct 2026, 08:3913,370+203
28 Oct 2026, 04:3613,167+76
27 Oct 2026, 02:4713,091+25
26 Oct 2026, 03:5813,066+26
25 Oct 2026, 03:3113,040+85
24 Oct 2026, 06:5012,955+65
23 Oct 2026, 03:5712,890+28
22 Oct 2026, 03:3112,862+55
20 Oct 2026, 23:1012,807+46
19 Oct 2026, 18:4712,761+22
18 Oct 2026, 21:4812,739+30
18 Oct 2026, 01:1712,709+42
16 Oct 2026, 23:2012,667+61
15 Oct 2026, 19:4812,606first reading

Engagement

175 posts held, back to 2 August 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 40 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
41.9%
avg views ÷ 13,729 subscribers
Avg views / post
5,750
22 posts measured
Reaction rate
1.51%
reactions ÷ views · ER floor
Posts in window
22
of 175 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 3 November 2026
Posts held175 (2 August 2026 – 3 November 2026)
Views total126,460
Reactions total1,913
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Nov 2026, 17:36 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
5m 44s
Average length
1m 26s

Measured directly from 4 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

8,079 reactions across 162 posts, in 22 distinct kinds. The most used accounts for 21.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,70921.2%
🔥1,64820.4%
❤1,39317.2%
💯6618.18%
✍6227.70%
🏆5406.68%
🤯4645.74%
🤔3864.78%
👀2132.64%
👏871.08%
🤗871.08%
🤩610.755%
🎉410.507%
⚡390.483%
custom 5440841102871517055330.408%
custom 5429391548989065004270.334%
custom 5422468615758688406260.322%
custom 5276274869670002486190.235%
🙏180.223%
custom 537068939627620529030.037%
2 further kinds20.025%

Custom emoji. 5 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 175 of the 175 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 8,562 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 175 most recent posts we hold, published 2 August 2026 to 3 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.

Telegram Stars

Stars received
13
across the posts below
Posts paid on
12
of 175 we hold a reading for · 7%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @turboproject. 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 175 most recent posts we hold for this entry, published 2 August 2026 to 3 November 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

3 Nov 2026, 16:49 UTC≈1,340 views16 reactionsread 3 November 2026

🧠 Думаю, многие читали, как блогеры разносят новость, что GPT-6 Astra прямо отредактировала веса Qwen3.5-0.8B. Хотя найти и поправить веса — достижение, но явно Альтман как раз вбросил хайп на вентилятор, больше рассчитывая, что блогеры не разберутся, что достижение значительно ниже, чем кажется, и главное почти не имеет практической ценности. Хотя даже инженерам часто кажется, что веса GPT статичные, но математичес…

👍11✍3❤1🔥1

Signed Vladimir Ivanov

3 Nov 2026, 05:44 UTC≈6,140 views83 reactionsread 3 November 2026
Photo

В новом Linux 7.4 примерно половина из 20.000 комитов будет от ИИ. Линус Торвальдс из былого скептика стал главным ИИ фанатом проекта и считает, что "все идёт по плану". Так или иначе, но если новый Linux не развалится и будет даже лучше, то все скептики, что ИИ не может писать код будут окончательно посрамлены. Все же ядро Linux намного сложнее того, чем занимается 90% разработчиков.

🏆59👀13❤6🔥3💯2

Signed Vladimir Ivanov

3 Nov 2026, 05:16 UTC≈4,090 views86 reactionsread 3 November 2026
Photo

Если вы думаете, что у нас в чате слишком горячие дискуссии насчёт ИИ, то вы не читали научное оппонирование Илона Маска одному PhD насчёт его ЦОД для ИИ в космосе. https://x.com/broudsov/status/2117232243907125289?a=ouZS_wpXr-dgkIheViY&s=19

🤗58🔥17👏8👀3

Signed Vladimir Ivanov

2 Nov 2026, 14:54 UTC≈4,770 views110 reactionsread 3 November 2026
Photo

🏗 Если вы решили пользователям сделать «своего агента», заканчивайте эту ерунду и дайте им просто работать в DeepSeek Harness. На примере своих решений для строителей я хорошо вижу разницу между моей отдельной обвязкой «строительного агента» и просто запуском агента в DSH со «Строительным MCP». Поясню задачу на экране и почему там нужны ИИ-агенты. Это классическая ETL-задача перегруппировки одной информации в другую…

🔥67👍28💯6custom 54408411028715170556❤3

Signed Vladimir Ivanov

2 Nov 2026, 14:30 UTC≈6,250 views82 reactionsread 3 November 2026
Video

Хотите сделать свою обвязку агента ИИ за 5 минут? Creator Mode в DeepSeek Harness к вашим услугам. Вы можете быстро дополнить агентскую систему плагинами постоянной работы как вам нужно. Это как раз сила архитектуры DSH — «всё есть плагин». Если почитать руководителя разработки DeepSeek Harness Цуй Тяньи в китайских сетях, то он постоянно доносит идею, что Claude Code или Codex по факту оторванные системы от самой р…

👍50🏆20🔥12

Signed Vladimir Ivanov

1 Nov 2026, 22:46 UTC≈4,600 views87 reactionsread 3 November 2026

🚩 Bindu Reddy, ранее менеджер Google и Amazon, ставит на то, что DeepSeek захватит «двухзначную цифру» доли рынка в США, а многие неоклауды для ИИ обанкротятся. Иными словами, известный эксперт в ИИ считает, что коррекция на рынке капитализации продолжится, убыточные Anthropic и OpenAI без денег инвесторов начнут терять позиции в пользу прибыльного DeepSeek. Она также предсказывает поглощение крупных американских вен…

❤41👍27🔥7🤯5custom 54224686157586884064🏆3

Signed Vladimir Ivanov

1 Nov 2026, 17:14 UTC≈5,850 views101 reactionsread 3 November 2026
Photo

🤖 DeepSeek опубликовал своего внутреннего автономного и проактивного агента разработки поверх DeepSeek Harness как Super Agent. Bloomberg отметил, что если Anthropic не ответит на это, то может отстать в агентских технологиях от китайцев. DeepSeek Super Agent имеет более 1 миллиона строк кода, это крупная система и её надо тестировать и изучать, но общий концепт будущего ИИ-разработки DeepSeek вполне показал. Смысл …

❤45👍33🏆17custom 52762748696700024864🔥1custom 53706893962762052901

Signed Vladimir Ivanov

1 Nov 2026, 16:49 UTC≈6,500 views64 reactionsread 3 November 2026
Video

Руководитель разработки Claude Code Борис Черный заявил, что проект будет закрыт и он ждёт не дождётся, когда сможет удалить Claude Code из Anthropic. Это не хайп Бориса: если почитать ещё других инженеров Anthropic, видно, что Claude Code накопил большой технический долг и действительно проще его Дарио уже выкинуть и сделать новую обвязку. Внутри самого Anthropic Claude Code не используется в обучении, также им не …

❤25✍23custom 542939154898906500410👍6

Signed Vladimir Ivanov

31 Oct 2026, 17:46 UTC≈5,470 views105 reactionsread 3 November 2026

Почему офисный персонал, который не умеет создавать приложения с ИИ, с 2027 года точно начнут увольнять? Какие тут проблемы ИТ-безопасности от «вайбкодинга» обычных офисных сотрудников? Как генералы из NATO C3 стали уже «вайбкодить» ещё до ИИ и зачем? Последнее — довольно интересный кейс как пример, давайте разберёмся. Большинство ИТ-разработчиков на самом деле живут внутри своего «ИТ-пузыря» и не видят даже текущий…

🔥39❤28👍23custom 54224686157586884068custom 52762748696700024864🤔3

Signed Vladimir Ivanov

30 Oct 2026, 17:36 UTC≈7,050 views213 reactionsread 3 November 2026
Photo

С чего начать вхождение в тему ИИ-агентов? Решил написать пост больше для новичков, но вероятно тут будут интересные моменты и для профессионалов, т.к. я предлагаю «ставить на тренды». Если вы бизнес-менеджер или студент, но хотите создавать решения для бизнеса и не стать бомжом от ИИ, а богатым человеком, то нужно осваивать агентов. Я считаю, что лучшая ставка сейчас на DeepSeek + DeepSeek Harness. Я не рекомендую…

🔥122❤46👍24✍14💯6🏆1

Signed Vladimir Ivanov

30 Oct 2026, 15:14 UTC≈5,930 views80 reactionsread 3 November 2026
Video

🤖 Производители гуманоидов становятся более практичными. Если работать плиточником или электриком гуманоиды ещё учатся, то вот робота-уборщицу Tau Robotics вполне сделал. В конце концов, кому-то надо и унитазы мыть. Однако как раз этот кейс — повод обсудить, почему Илон Маск может создать империю гуманоидов из-за своего процессора для Tesla AI5. Маск даже закрыл во Фримонте (Калифорния) завод по производству Tesla Mo…

🤔43❤18🔥6custom 54224686157586884066🤯4💯2custom 54293915489890650041

Signed Vladimir Ivanov

30 Oct 2026, 05:23 UTC≈5,690 views78 reactionsread 3 November 2026

Eric Elliott — известный эксперт по JavaScript и TDD, ранее получал $500.000 в год, но сейчас его ИИ сделал бомжом в буквальном смысле слова. Его попытка встроиться в ИИ-тренд через методики SudoLang и через продвинутую реализацию TDD как AIDD не спасла эксперта, ранее с аудиторией 700.000 человек в месяц, фактически от положения нищего. Конечно, такой кейс стоит разобрать, чтобы не повторять ошибок Эрика и также пон…

❤44🤯22👍12

Signed Vladimir Ivanov

Showing the 12 most recent of 175 posts we hold for @turboproject. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

14 Aug 2026, 22:57 UTCAnonymous Poll1,140 voters approx.

Какое у вас отношение к HR персоналу, что вы встречали?

  1. Чаще полная некомпетентность HR в тех кого они нанимают35%
  2. Средняя компетентность HR26%
  3. Высокая компетентность HR5%
  4. Я ненавижу HR (отвратительное общение, бесполезность для бизнеса и т.п.)11%
  5. Я обожаю HR как элиту персонала2%
  6. Не определился21%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 175 most recent posts we hold, published 2 August 2026 to 3 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

Republished by

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

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1 post
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1 post
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1 post
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1 post
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1 post
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1 post
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1 post
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1 post
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1 post
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1 post
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@pasha_ai_dev_cast · 86
1 post
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1 post
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@polterageist_blog · 52
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1 post
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@yandexrussla · 7,095
1 post
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@zvonareva1 · 127
1 post

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 23 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.

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@lenta_AI · 174
16 posts
Секреты DARPA и ЦРУ | DARPA&CIA
@darpaandcia · 16,441
14 posts
⚠️ Общественный уполномоченный по защите семьи (ОУЗС)
@ouzs_ru · 77,052
4 posts
Искусственный интеллект. Новости и код.
@agregator_ai · 1,922
2 posts
Человек с телефоном 👨‍🎓+📱
@chel_smart_phone · 432
2 posts
банан.zip
@bananzip · 2,458
1 post
КиберВойна и мiрZ
@cyber_MipZ · 2,375
1 post
Как быть? Частное мнение
@kak_byt · 148
1 post
⚡️Лобушкин молнит
@lobushkinflash · 74,641
1 post
мамина настройка | mom and AI
@maminastroyka · 46
1 post
Meet Deadlines
@meetdeadlines · 478
1 post
Невидимая битва. Сокрытая история цивилизации
@n_bitva · 202
1 post
🕸Panopticon XXI: Post-democracy⛓‍💥⏳
@panopticon21 · 2,467
1 post
AGI research&development
@polterageist_blog · 52
1 post
Андрей Корниенко. Про (аналитить) это
@proanalyse_it · 272
1 post
Управление собой и другими
@samuprav · 728
1 post
СЕРГЕЙ ДОЛЖНИКОВ
@sedo_channel · 6,876
1 post
Семёнов Daily (AI)
@semyonovdaily · 239
1 post
Шевцов | AI, ML, LLM и прочий хайп
@shevtsov_dl · 143
1 post
Тени Руси
@tenirusi · 24,928
1 post
Разработчик БПЛА
@UAVDEV · 125,037
1 post
Люди-люди... на блюде.
@xui_na_blude · 9
1 post
Кибербезопасность Z
@z_cybersec · 249
1 post

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.

СберМобайл
@sbermobile_official · 23,685
Telegram ranks this channel #78 of 79 here — alongside 78 others — read 16 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 3 November 2026 — this entry's latest reading, not the date you are reading this.

“AI Projects” (@turboproject), 13,729 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/turboproject.

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.