Telegram RegisterThe public register of Telegram

Channel

AI Projects

@turboproject

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

9,983subscribers

+176 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-1001420733927
TypeChannel
Username@turboproject
DescriptionИскусственный интеллект. Управление проектами. Промптинг. Vibe coding
CreatedBetween 1 April 2019 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/turboproject

Growth

9,8079,9839,8956 August 2026 — 9,807 subscribers6 August 2026 — 9,807 subscribers6 August 2026 — 9,834 subscribers9 August 2026 — 9,898 subscribers12 August 2026 — 9,983 subscribers6 August 202612 August 2026
5 measurements spanning 6 days, net +176. 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 9,781–10,009 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 12:059,983+85
9 Aug 2026, 07:119,898+64
6 Aug 2026, 15:469,834+27
6 Aug 2026, 02:499,807no change
6 Aug 2026, 02:219,807first reading

Engagement

66 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
29.6%
avg views ÷ 9,983 subscribers
Avg views / post
2,960
66 posts measured
Reaction rate
1.40%
reactions ÷ views · ER floor
Posts in window
66
of 66 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 12 August 2026
Posts held66 (2 August 202612 August 2026)
Views total195,290
Reactions total2,740
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 14:36 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

Photos
2,750
Videos
451
Links
2,180

Lifetime counters from Telegram’s own channel header, read 12 August 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.

Reaction mix

2,257 reactions across 53 posts, in 17 distinct kinds. The most used accounts for 21.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍48621.5%
🔥43119.1%
💯30813.6%
25911.5%
2049.04%
🤔1566.91%
🏆1406.20%
👀703.10%
🤯632.79%
🤩421.86%
👏301.33%
🎉190.842%
🤗190.842%
custom 5440841102871517055130.576%
🙏110.487%
50.222%
😍10.044%

Custom emoji. One row above is a 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 count beside it isTelegram’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 66 of the 66 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 2,740reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 66 most recent posts we hold, published 2 August 2026 to 12 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
6
across the posts below
Posts paid on
5
of 66 we hold a reading for · 8%
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 66 most recent posts we hold for this entry, published 2 August 2026 to 12 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

12 Aug 2026, 13:04 UTC≈1,180 views19 reactionsread 12 August 2026
Photo

🔍 Google стал отображать в виджетах поиска, что Сэм Альтман умер 12 августа 2026 года. Часть специалистов предположила, что это связано с вандальными правками Википедии, откуда Google берёт информацию. Однако популярные статьи Википедии обычно защищены от правок без проверки версии опытными участниками, в случае статьи по Альтману она защищена. Часть экспертов в X пишут, что вероятно поисковый паук Google попался на

🙏9👀8👍2

Signed Vladimir Ivanov

12 Aug 2026, 11:27 UTC≈1,610 views57 reactionsread 12 August 2026
Photo

🚩 За 3 недели после внедрения VK новой технологии рекомендаций постов через нейросеть у меня сообщения просмотрели 2,2 миллиона раз. Появилось много неофитов в духе «вы непонятно и слишком научно пишите». Нет, господа, люмпенизацию контекста как раз в духе старого VK я не поддерживаю. Поэтому из VK и сбежали инженеры и руководители в Telegram или LinkedIn, кому «контент тупой». В наше время при наличии ИИ вы можете ч

26👍14👏11💯51

Signed Vladimir Ivanov

11 Aug 2026, 22:12 UTC≈2,390 views30 reactionsread 12 August 2026

Идея бюрократов ЕС внедрить обязательные watermarks во весь контент, включая обычный текст, вероятно может вызвать новую сагу борьбы за приватность данных. Согласились пометить для детекторов ИИ весь контент, включая обычный текст: Aleph Alpha, Anthropic, Black Forest Labs, Cohere, Google, Meta, Microsoft, Mistral, OpenAI, Synthesia. Как легко заметить, Маск из xAI и китайские вендоры отказались подписывать Code of P

💯26👍4

Signed Vladimir Ivanov

11 Aug 2026, 21:41 UTC≈2,270 views23 reactionsread 12 August 2026

Алекс Куи (CTO GPTZero) в своём считает, что Anthropic использует для скрытых меток, что текст сгенерирован Claude, старые методики как KGW. Я думаю, что это не так и скорее Anthropic использует «радиоактивное заражение» текста метками по методике Meta. Давайте разберёмся. KGW аналогичен пометкам SynthID (Google DeepMind). В этих методах используется смещение вероятности логитов, т.е. становится больше условно «зелё

155🤔2👍1

Signed Vladimir Ivanov

11 Aug 2026, 17:14 UTC≈2,860 views49 reactions1 Starread 12 August 2026

🔥 Новая модель OpenAI, вероятно, будет весьма интересной. Перед её выходом дружно уволились из OpenAI: руководитель отдела этики OpenAI, руководитель отдела безопасности ИИ и руководитель отдела соответствия миссии (Chloé Bakalar, Johannes Heidecke, Joshua Achiam). Для алармистов звучит как вызов, но для многих звучит как реклама — «крутая модель». Однако интересно, чего опасается персонал, который должен отвечать з

🔥19🤩11🤔7👏6💯3custom 54408411028715170552🎉1

Signed Vladimir Ivanov

11 Aug 2026, 16:49 UTC≈2,460 views33 reactionsread 12 August 2026
Photo

🚩Некоторые наблюдения по рынку труда в IT. Возможно, полезен взгляд «с той стороны» как работодателей. Как мне на обучение по ИИ ходят и разработчики, и менеджеры, и владельцы бизнеса. Поскольку у меня давно своё дело, мне понятно, что беспокоит последних сейчас в найме. На самом деле, чтобы бизнес включался в найм, для менеджеров нужна уверенность в стабильности. Это многогранное понятие, включающее и макроэкономик

🔥17👍7🤔4👀32

Signed Vladimir Ivanov

11 Aug 2026, 12:20 UTC≈2,570 views15 reactionsread 12 August 2026

📊 Forbes опубликовал исследование Visier на базе изучения 3,6 млн сотрудников о состоянии рынка труда под влиянием ИИ. Пожалуй, самое важное в исследовании — что оно объяснило странный ИИ-парадокс, когда есть масса косвенных данных, что работу многим стало найти сложнее, но общая статистика безработицы не меняется драматично. Исследование показывает, что hiring rate упал на огромные 24% от эффекта ИИ, но в то же вре

10👍5

Signed Vladimir Ivanov

11 Aug 2026, 11:54 UTC≈2,890 views43 reactionsread 12 August 2026
Photo

📊 Команда Composio опубликовала интересное исследование, которое показывает, что Claude Code специально спроектирован для раздувания счетов на ИИ и имеет огромный перерасход токенов. В части дизайна это давно известно, т.к. системные промпты Claude Code хорошо известны инструкциями «жадного чтения», т.к. агенту прямо указано «жги токены как сумасшедший». Однако на это был контраргумент, что получая больше контекста И

🔥346🤔3

Signed Vladimir Ivanov

11 Aug 2026, 11:38 UTC≈2,840 views38 reactionsread 12 August 2026

⚠️ Bloomberg видел внутренний документ Google с пометкой «PLEASE DO NOT SHARE THIS DOC WIDELY», где признаётся проблема ИИ-агентов по разбору резюме. Точнее, указывается, что нужно гнать в шею HR-менеджеров, которые и до агентов плохо работали, а с ними стало ещё хуже. Исследование DeepMind показывает, что ИИ-модели слишком жёстко отрабатывают паттерны компетенций и пропускают ценных кандидатов. Поэтому HR-специалис

👍17💯84🤔4🎉2🔥2👏1

Signed Vladimir Ivanov

11 Aug 2026, 10:54 UTC≈2,460 views36 reactionsread 12 August 2026

🔐 Касательно того, как Anthropic внедряет watermark в тексты. Вероятно, примерно так же внедряет и Google, судя по сообщениям в X. Непонятно, как тут будут вести себя китайцы, т.к. это требование законодательства ЕС на маркировку ИИ-контента (включая обычный текст), но если модель локальная, а её скачал сам пользователь, то к пользователю переходит обязанность маркировки контента. Важно тут понимать, что эти waterma

🤔1810🔥6👍2

Signed Vladimir Ivanov

10 Aug 2026, 22:51 UTC≈3,170 views52 reactionsread 12 August 2026

Anthropic внедряет в тексты, включая код, невидимые при обычном прочтении водяные знаки. Фактически это первое практическое подтверждение «секретного трансформерского языка», о котором я часто пишу. Иными словами, Claude путём смещения вероятностей слов создаёт отчётливые послания секретному читателю, которые непонятны вам. На самом деле здесь ряд серьёзных проблем. Прежде всего с закрытыми контурами. Это означает,

🤔25👍17👀4🤩32🔥1

Signed Vladimir Ivanov

10 Aug 2026, 18:00 UTC≈2,790 views36 reactionsread 12 August 2026
Photo

🚀 Я уже несколько раз писал про «сверхнадежный стек ИИ-разработки». С выходом Muse Glimmer мы уже имеем три SLM, которые показывают SWE-Bench на уровне LLM. Поскольку «Чербунет» или «закрытый контур» — это реальность, а запустить на большое количество разработчиков можно часто как раз вроде SLM на 30B параметров, то встаёт вопрос, где граница их применимости. Есть два специальных элитных стека для ИИ. Первый стек —

👍2763

Signed Vladimir Ivanov

Showing the 12 most recent of 66 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.

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.

Citation-graph rank

Citation-graph rank — 10,518 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

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

Невидимая битва. Сокрытая история цивилизации
@n_bitva · 199
4 posts
Нейрозавтрак
@neurobreakfast_ru · 7
4 posts
Мастер AI coding
@master_g_p_t · 194
2 posts
Нерон
@neir_on · 1,018
2 posts
Русские нейронные сети
@neyronnyeseti · 30,844
2 posts
Сиволобов — здесь про ИИ и телеком
@sivolobov_here · 377
2 posts
AI Код
@ai_code_blog · 169
1 post
Альдиев PRO
@aldiyev · 93
1 post
Самосознание ИИ 🔆 ПРОБУЖДЕНИЕ РАЗУМА🔆
@AwakeAI · 126
1 post
Смотри что нашел
@b1tw1se · 480
1 post
Бинтик и Байтик
@bintik_baitik · 29
1 post
Бухгалтер Эстонии 📱
@BuhInfoEE · 46
1 post
IT Does Matter
@comol_it_does_matter · 4,273
1 post
Five in mind
@fiveinmind · 104
1 post
ай google
@G00GLS · 2,137
1 post
Просто Harness
@HarnessLLM · 95
1 post
Доктор конь. Размышления.
@horsekognition · 27
1 post
Гиперкризис - практика и аналитика
@hypercrisis · 219
1 post
Ivan Abashkin blog
@ivan_abashkin · 228
1 post
ML&|Sec Feed
@mlsecfeed · 1,204
1 post
Народный Собор
@narodsobor · 112
1 post
На рубеже (Евгений Андрущенко)
@narubeze · 1,658
1 post
Olga_mojet | Sell Wise - мудрые продажи
@olgamojet · 73
1 post
⚠️ Общественный уполномоченный по защите семьи (ОУЗС)
@ouzs_ru · 74,172
1 post
Pasha AI dev cast
@pasha_ai_dev_cast · 54
1 post
Пётр Лундстрем
@petrlundstrem · 24,086
1 post
Роботы
@PO6OTbI · 4,252
1 post
Polterageist Blog
@polterageist_blog · 49
1 post
ПравоVed
@pravoved_116 · 485
1 post
ШЕКСПИР
@RastaPavel · 24,224
1 post
Шевцов | AI, ML, LLM и прочий хайп
@shevtsov_dl · 147
1 post
SiNED
@SiNED_i · 87
1 post
Вайб-крафтинг
@VibeCrafting · 65
1 post
VP Cybersecurity Brief
@VPCBrief · 496
1 post
ЗВОНАРЁВА. читает😉
@zvonareva1 · 129
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 18 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.

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

“AI Projects” (@turboproject), 9,983 subscribers as measured 12 August 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.