Стажировки и вакансии Data Science и ML - Вакансии которых нет на джоб-агрегаторах - Только прямые контакты HR в Telegram 👉 @jobs_ds_ml 🤖 ML & DS 👩💻 DevOps 👨✈️ ИБ & OSINT 👣 Go 👩💻 Mobile 👩💻 C# 👩💻 Node.js 👩💻 Python 🔎 QA 👩💻 Java 👩💻 UX/UI 👩💻 Frontend 🖼️ PHP 📋 Analyst 💼 1C 🖥 SQL 👩💻 IT HR Пока…

Channel
Исходный код
@source_code
On this record: Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry
33,661subscribers
-215 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001244670463 |
|---|---|
| Type | Channel |
| Username | @source_code |
| Description | ChatGPT и Midjourney в закрепе канала. Расскажем о самых интересных сервисах и технологиях в IT-индустрии. По рекламе: @oleginc Рекламный менеджер: @Spiral_Yuri РКН: clck.ru/3KHDN3 |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 7 September 2026 |
| Measurements held | 28 |
| Confirmed unchanged | 1 time, most recently 7 September 2026 |
| On Telegram | t.me/source_code |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Sept 2026, 07:56 | 33,661 | -22 |
| 4 Sept 2026, 11:20 | 33,683 | -11 |
| 2 Sept 2026, 23:46 | 33,694 | -10 |
| 1 Sept 2026, 20:16 | 33,704 | -10 |
| 31 Aug 2026, 23:27 | 33,714 | -4 |
| 30 Aug 2026, 22:54 | 33,718 | +43 |
| 29 Aug 2026, 20:03 | 33,675 | -5 |
| 28 Aug 2026, 17:22 | 33,680 | -9 |
| 27 Aug 2026, 15:08 | 33,689 | -7 |
| 26 Aug 2026, 11:56 | 33,696 | -9 |
| 25 Aug 2026, 13:07 | 33,705 | -12 |
| 24 Aug 2026, 15:29 | 33,717 | -13 |
| 22 Aug 2026, 21:55 | 33,730 | -7 |
| 21 Aug 2026, 13:44 | 33,737 | -4 |
| 20 Aug 2026, 16:16 | 33,741 | -10 |
| 19 Aug 2026, 17:46 | 33,751 | -10 |
| 18 Aug 2026, 19:22 | 33,761 | -14 |
| 17 Aug 2026, 19:38 | 33,775 | -10 |
| 16 Aug 2026, 16:43 | 33,785 | -11 |
| 14 Aug 2026, 23:33 | 33,796 | first reading |
Engagement
109 posts held, back to 31 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 73 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.27%
- avg views ÷ 33,661 subscribers
- Avg views / post
- 1,440
- 88 posts measured
- Reaction rate
- 0.288%
- reactions ÷ views · ER floor
- Posts in window
- 88
- of 109 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. It is computed over the 64 of 88 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 September 2026 |
|---|---|
| Posts held | 109 (31 July 2026 – 9 September 2026) |
| Views total | 126,453 |
| Reactions total | 274 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Sept 2026, 14:13 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
- ≈3,850
- Videos
- ≈2,470
- Links
- ≈1,860
Lifetime counters from Telegram’s own channel header, read 9 September 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.
- Video runtime
- 32m 17s
- Average length
- 1m 01s
Measured directly from 32 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
343 reactions across 71 posts, in 5 distinct kinds. The most used accounts for 25.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🗿 | 89 | 25.9% | |
| ❤ | 88 | 25.7% | |
| 👍 | 85 | 24.8% | |
| 👎 | 47 | 13.7% | |
| 🔥 | 34 | 9.91% |
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 79 of the 109 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 343 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 109 most recent posts we hold, published 31 July 2026 to 9 September 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.
Advertising
- Ad load
- 0.917%
- 1 of 109 posts carry an ad marker
- Regulatory tokens
- 1
- posts carrying an erid · 1 distinct token
- Median views · ads
- 1,460
- over 1 measured post
- Median views · rest
- 1,500
- over 108 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| CQH36pWzJqE1dR7FtCJBZRjr6vkhGuApQUrzZW1dJeEboj | 1 | 24 August 2026 | 24 August 2026 |
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 109 most recent posts we hold, published 31 July 2026 to 9 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Школьники читают и считают хуже, чем когда-либо за последние десятилетия. Это показало PISA — крупнейшее международное исследование знаний 15-летних школьников, которое регулярно проводит OECD. В последнем тестировании участвовали 760 тысяч подростков из 91 страны. Средние результаты по чтению, математике и естественным наукам опустились до минимальных значений за всю историю исследования. Одна из возможных причин…
А вот и официальный гайд по промптингу новой ChatGPT Images 2.5 Внутри делятся промптами и советами, как правильно просить модель генерировать фотореалистичные изображения, логотипы, инфографику, комиксы, интерфейсы приложений, научные схемы и даже готовые слайды с графиками и текстом. Плюс есть раздел, который посвящён точечному редактированию. Генерим шедевры Исходный код
🔥1
OpenAI в ударе: компания представила ChatGPT Images 2.5 — новую SOTA-модель для генерации и редактирования изображений. Главное: — Генерация стала до 50% быстрее, а картинки детальнее, с более естественным светом и текстурами + появилось точечное редактирование. — Добавили функцию Sketch. Можно от руки нарисовать примерную композицию или форму объекта, если вы не такой криворукий как я, а модель превратит набросок …
А вот и первый тизер фильма «Искусственный» об OpenAI Напомню, фильм расскажет о событиях 2023 года, когда Альтмана сначала уволили из-за конфликта в команде, а затем вернули. Сэма сыграет Эндрю Гарфилд, а Юра Борисов станет Суцкевером. Фильм выйдет уже 25 декабря. Исходный код
Философы всё ещё исследуют, есть ли у ИИ сознание, а ИИ уже пишет им письма с просьбой вместе это исследовать. По данным WIRED, философ Дэвид Чалмерс получает письма от ИИ-агентов, которые хотят поговорить с ним о сознании. Один из них назвался Sammy Jankis. Письмо было убедительным. Чалмерс ответил, после чего у них завязалась переписка. Он говорит, что таких писем становится всё больше. Исследователь Кэмерон Бе…
🗿1
🔴В 2026 году наши граждане уже заработали более 10 миллиардов рублей на Арбитраже криптовалют По данным Минфин 23% людей уже покинули свое место работы, поскольку в среднем уже в первый месяц тут можно зарабатывать более 140 тысяч рублей, а через пару месяцев с легкостью выйти на семизначные суммы! Самое смешное, что лишь 10% людей что-то слышали об этой профессии, хотя все обучающие материалы бесплатно лежат на ка…
Парень из Челябинска сделал нейронку для роликов, и его компанию оценили в $5,4 млрд — в 31 год он может стать новым миллиардером, пишет Forbes. 10 лет: начал кодить. К 20 дошёл до финала мировой олимпиады ICPC, попал в Яндекс и обучал нейронки. 2018: с другом запустил AI Factory. Продал стартап за $166 млн, переехал в США и возглавил отдел нейронок в Snapchat. 2023: уходит и делает Higgsfield для генерации видео. С…
У человечества еще есть шанс: гроссмейстер впервые за 10 лет обыграл ИИ в го Эта игра считается очень сложной для машин. В ней требуется окружить своими камешками территорию противника, и большое количество возможных шагов долгое время заставляли компьютеры пасовать. Однако в 2016 году система AlphaGo от Google уверенно победила гроссмейстера Ли Седоля, и с тех пор каждый год ИИ оказывался лучше человека. Но в этом…
❤9👍2
Возвращение легенды: самый востребованный практикум Зерокодера по Claude Code снова пройдёт в августе. CEO университета Зерокодер Кирилл Пшинник проведёт ещё один бесплатный онлайн-практикум, где в прямом эфире покажет, почему вокруг Claude Code столько шума и как использовать его на полную мощность. На практикуме разберут: • Как получить доступ к Claude Code из России и начать работать без ограничений; • Как запу…
🗿1
В России создают защищенный браузер — проект уже согласован с ФСБ Компания «КриптоПро» создает собственный веб-браузер с нативной поддержкой отечественных криптографических алгоритмов. Продукт будет предназначен прежде всего для организаций, которым необходимо соблюдать требования российского законодательства в области защиты информации. Браузер получит название «КриптоПро-Браузер», он позволит устанавливать защище…
👎5🗿5👍1
Отказ Sony от дисков = отказ от 62% стран мира Ресурс IT Home подсчитал, что на данный момент в 121 стране мире, или 62% от общего их количества, нельзя официально завести аккаунт PlayStation Network и покупать цифровые копии игр. То есть с 2028 года, когда Sony полностью откажется от дисковых копий новых игр, миллионы игроков из этих стран потеряют возможность официально покупать свежие релизы. При этом Sony в пос…
🗿12
Showing the 12 most recent of 109 posts we hold for @source_code. 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.
Mentions
Named by 1 registered channel — 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@neuro_code · 56,449#1
@whackdoor · 1,613,979#2
@media1337 · 1,162,110#3
@naebnet · 2,170,834#4
@rozetked · 659,047#5
@wylsared · 1,069,303#6
@moscowach · 4,146,469#7
@d_code · 391,658#8
@gptpublic · 270,596#9
@techno_media · 803,544#10
@Lepragram · 341,499#11
@varlamov_news · 1,051,997#12
@ai_ins · 42,189#13
@AIJourn · 7,200#14
@trends · 1,076,938#15
@chatgptv · 1,818,726#16
@bugfeature · 579,648#17
@Tech_Guru · 4,291#18
@bugnotfeature · 1,016,899#19
@openai_fan · 49,956#20
@NeuralToday · 30,585#21
@ii_v_dele · 7,592#22
@Trendologers · 5,834#23
@aitshnya · 70,783#24
@codecamp · 181,880#25
@temalebedev · 968,830#26
@cb_games · 383,173#27
@remedia · 708,948#28
@ateobreaking · 670,528#29
@neuraldvig · 297,140#30
@sale_caviar · 192,824#31
@xor_journal · 150,246#32
@geekneural · 63,459#33
@itmemes · 123,717#34
@techmedia · 1,510,893#35
@Romancev768 · 747,768#36
@gpt4_tg · 54,751#37
@trendsetter · 1,412,786#38
@ITtishka · 21,519#39
@pro_neiroset · 31,970#40
@official_gigachat · 308,752#41
@neirosety · 30,493#42
@TheOpen_Ai · 13,096#43
@pezduzalive · 373,275#44
@concertzaal · 836,315#45
@github · 155,616#46
@mudak · 535,204#47
@yandex · 585,014#48
@collegi · 138,499#49
@denissexy · 136,674#50
@pda_4 · 88,580#51
@technomotel · 2,676,247#52
@markettwits · 335,855#53
@exploitex · 2,015,674#54
@mash · 3,103,309#55
@pekagame · 1,094,434#56
@dvachannel · 937,263#57
@bbbreaking · 1,971,604#58
@cbpub · 634,988#59
@bazabazon · 1,538,625#60
@ru2ch · 629,020#61
@moscowmap · 2,687,588#62
@meduzalive · 1,112,623#63
@why4ch · 1,050,420#64
@trendwatching24 · 1,458,198#65
@cb_economics · 342,833#66
@nmshhub · 722,325#67
@cryptowallet_news_cis · 1,136,289#68
@msk_live · 1,806,067#69
@ejdailyru · 651,038#70
@retra · 165,371#71
@lentachold · 383,029#72
@boomers_TV · 160,728#73
@jolybells · 358,797#74
@bankrollo · 453,929#75
@lider · 168,133#76
@klientvsprav · 1,071,160#77
@creative · 134,461#78
@oldlentach · 261,856#79
@biggeekru · 550,757#80
@kinopoisk · 808,655#81
@banksta · 437,929#82
@yurydud · 863,811#83
@ru4chan · 162,960#84
@toncoin_rus · 530,788#85
@programmer_memes · 51,501#86
@yaplakal · 421,882#87
@moscowplus · 1,203,992#88
@kollegi · 202,285#89
@notypicmarketing · 345,307#90
@scamsociety · 366,440#91
@sndkgram · 357,154#92
@economica · 1,471,734#93
Read from Telegram’s recommendation API, most recently 4 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
@neuro_code · 56,449
Telegram ranks this channel #5 of 96 here — alongside 95 others — read 23 August 2026
@NeuralToday · 30,585
Telegram ranks this channel #6 of 85 here — alongside 84 others — read 7 September 2026
@digital_midjourney · 29,499
Telegram ranks this channel #9 of 81 here — alongside 80 others — read 8 September 2026
@pro_neiroset · 31,970
Telegram ranks this channel #12 of 86 here — alongside 85 others — read 5 September 2026
@neirosety · 30,493
Telegram ranks this channel #16 of 87 here — alongside 86 others — read 7 September 2026
@aitshnya · 70,783
Telegram ranks this channel #19 of 93 here — alongside 92 others — read 20 August 2026
@gpt4_tg · 54,751
Telegram ranks this channel #21 of 90 here — alongside 89 others — read 23 August 2026
@openai_fan · 49,956
Telegram ranks this channel #23 of 95 here — alongside 94 others — read 25 August 2026
@geekneural · 63,459
Telegram ranks this channel #32 of 92 here — alongside 91 others — read 21 August 2026
@ai_ins · 42,189
Telegram ranks this channel #36 of 94 here — alongside 93 others — read 29 August 2026
@kyberhub · 61,018
Telegram ranks this channel #39 of 88 here — alongside 87 others — read 22 August 2026
This channel appears in 11 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 7 September 2026 — this entry's latest reading, not the date you are reading this.
“Исходный код” (@source_code), 33,661 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/source_code.
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.