Дополнительные материалы:
❤64👍50

Channel
@oqode
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Polls · Citations · Telegram's recommendations · Cite this entry
39,483subscribers
-262 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001227126149 |
|---|---|
| Type | Channel |
| Username | @oqode |
| Description | Зерокодер — про нейросети, ИИ и создание продуктов без кода. Вайбкодинг, ИИ-агенты, no-code, автоматизация, новые ИИ-инструменты и реальные кейсы — показываем, что с ними можно сделать на практике. По всем вопросам @ZerocoderCommunications 4916281388 |
| Created | 2 March 2020 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/oqode |
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 97% 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 why it has no browse page of its own yet.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @oqode/3304 · this entry26 Jul 2026, 13:01 UTC | @neural_houses/192726 Jul 2026, 13:01 UTC | 1.00 | under a minute |
| @oqode/3309 · this entry29 Jul 2026, 13:03 UTC | @neural_houses/193229 Jul 2026, 13:03 UTC | 1.00 | under a minute |
| @oqode/3315 · this entry2 Aug 2026, 06:59 UTC | @neural_houses/19372 Aug 2026, 06:59 UTC | 1.00 | under a minute |
| @oqode/3305 · this entry27 Jul 2026, 07:01 UTC | @neural_houses/19382 Aug 2026, 13:03 UTC | 1.00 | 6 days |
| @oqode/3320 · this entry4 Aug 2026, 07:01 UTC | @neural_houses/19424 Aug 2026, 07:02 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @neural_houses | 7 (7/7 hand-verifiable sample passed) | 1.00 | under a minute | this entry (5–2) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 1 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 17 comparable posts for this entry, running 26 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Across the whole group of 2, the earliest publisher we hold is @oqode — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 07:17 | 39,483 | -43 |
| 18 Sept 2026, 18:19 | 39,526 | +22 |
| 16 Sept 2026, 12:41 | 39,504 | +9 |
| 14 Sept 2026, 16:41 | 39,495 | -17 |
| 13 Sept 2026, 03:58 | 39,512 | -2 |
| 11 Sept 2026, 02:58 | 39,514 | -6 |
| 8 Sept 2026, 02:38 | 39,520 | -22 |
| 3 Sept 2026, 10:23 | 39,542 | +10 |
| 2 Sept 2026, 04:34 | 39,532 | -3 |
| 1 Sept 2026, 01:48 | 39,535 | -13 |
| 30 Aug 2026, 23:07 | 39,548 | -9 |
| 29 Aug 2026, 23:25 | 39,557 | -11 |
| 29 Aug 2026, 00:52 | 39,568 | -7 |
| 28 Aug 2026, 01:16 | 39,575 | -2 |
| 27 Aug 2026, 03:04 | 39,577 | -7 |
| 26 Aug 2026, 04:08 | 39,584 | +4 |
| 25 Aug 2026, 02:12 | 39,580 | -19 |
| 23 Aug 2026, 12:44 | 39,599 | -6 |
| 22 Aug 2026, 02:38 | 39,605 | -6 |
| 20 Aug 2026, 19:47 | 39,611 | first reading |
107 posts held, back to 26 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 95 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 107 (26 July 2026 – 26 September 2026) |
| Views total | 84,898 |
| Reactions total | 6,657 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 00:47 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.
Lifetime counters from Telegram’s own channel header, read 27 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.
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.
12,901 reactions across 106 posts, in 7 distinct kinds. The most used accounts for 62.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8,100 | 62.8% | |
| 👍 | 3,789 | 29.4% | |
| 😁 | 963 | 7.46% | |
| ⚡ | 20 | 0.155% | |
| 👌 | 16 | 0.124% | |
| 😎 | 11 | 0.085% | |
| ✍ | 2 | 0.016% |
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 106 of the 107 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 12,901 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 107 most recent posts we hold, published 26 July 2026 to 26 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.
Дополнительные материалы:
❤64👍50
Привет-привет! 😑 Помните моё «если автоматизировать хаос, получится очень быстрый хаос»? Так вот, я нашла, куда этот хаос девать: n8n + вайбкод - самая мощная связка, которую я протестировала за последнее время. И сейчас объясню, почему они обязаны быть вместе 😎 Я сейчас очень сомнительно отношусь к ноукод-конструкторам: зачем собирать сценарий из кубиков, если вайбкод делает всё быстрее и свободнее? Но n8n - один …
👍54❤52
Открыл hh.ru и завис 👀 Всем привет, это Кирилл. Недавно вбил в поиск hh «промпт-инженер»: а вакансий оказалось сильно больше в сравнении с теми, кто активно ищет такую работу, и об этом нам нужно поговорить. 29 сентября в 13:00 МСК проведу большой практикум «Промпт-инженер на удалёнке: кого нанимают и будут нанимать компании в 2026-2027» Покажу реальные вакансии, разберу, за какие задачи промпт-инженеру платят 50 …
❤55👍51
🤖 Большинство людей используют ИИ слишком примитивно Попросить написать текст, перевести сообщение или придумать идеи — полезно. Но иногда кажется, что для многих нейросеть так и осталась просто «умным поисковиком». Хотя за последние пару лет ИИ сильно изменился, а вместе с ним изменились и способы его использования. ⭐️ Например: кто-то использует нейросети каждый день и уже не представляет без них работу. А кто-т…
❤59👍53
⚡️В 23:59 мы обновимся! Исчезнут 15 курсов и скидки до 85% Сегодня последний день. С завтрашнего дня 15 курсов будут доступны только в составе Абонемента и Нейроабонемента, а скидки на сами абонементы закончатся. Пока ещё можно взять один курс под свою задачу — от 458 ₽ в месяц: тексты, таблицы, презентации, сайты, инвестиции или новая профессия. Или забрать сразу всё: Нейроабонемент с 20+ ИИ-курсами или Абонемент…
👍67❤47
🧠 Код от нейросети заработал с первого раза? Красота. А вы понимаете, почему? 😬 Если нет — у вас comprehension debt, или «долг понимания». Так называют ситуацию, когда код в проекте растёт быстрее, чем вы успеваете в нём разобраться. Вайбкодинг ускоряет этот процесс: попросили функцию → приняли → попросили следующую → повторили 20 раз. В итоге получили работающий проект, в котором легко потеряться. А потом нужно и…
❤69👍54
🤖 OpenAI и Anthropic выпустили новые модели OpenAI представила GPT-6 Sol и GPT-6 Luna, а Anthropic — Claude Opus 5.5. Вместе с релизами компании опубликовали официальные гайды по промптингу — как эффекти…
❤66👍45
📋 ChatGPT, Work или Codex от OpenAI — что выбрать под задачу [Практикум 25.09] В приложении ChatGPT кроме обычного чата есть еще режимы Work и Codex — по названиям не всегда понятно, какой открывать под вашу задачу 🤔 Codex многие вообще обходят стороной: кажется, что он только для тех, кто пишет код. На бесплатном Большом практикуме по вселенной OpenAI мы разберем логику всех трех режимов на живых примерах — 25 сен…
👍59❤47
Какими инструментами OpenAI вы уже пользуетесь? 👀 👇
The shares total 152%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
👍62❤54
💾 Куда пропало место на диске? Возможно, всё забили дубликаты Если на компьютере годами копятся фото, видео и документы, вручную искать одинаковые файлы — то ещё удовольствие. Есть инструменты, которые могут сделать это за вас 👇 🔎 Czkawka Ищет не только точные дубликаты, но и похожие изображения — например, несколько почти одинаковых фотографий или разные версии одного файла. Работает локально на Windows, macOS и …
👍55❤52
⚡ AI для быстрых решений: Jev теперь доступен всем TypeSafe открыла доступ к Jev — модели, которая не генерирует длинный текст, а очень быстро принимает решения и классифицирует данные на уровне GPT-5.6. Например, Jev можно использовать, чтобы определить тему обращения клиента, направить его нужной команде или оценить срочность запроса. ⚡ Все оценки выполняются параллельно, поэтому ответ занимает 70–500 мс. Ещё н…
❤61👍56
Что меняется в Зерокодере с 26 сентября❔ Зерокодер растёт: на сезон 26/27 мы готовим много новинок и, чтобы не перегружать основную линейку, переводим часть курсов в новый формат. 15 курсов будут входить только в Абонемент и Нейроабонемент, отдельно их купить уже не получится. ❕До 25 сентября любой из этих курсов ещё можно забрать отдельно со скидкой до 85% (самые низкие цены за всю историю), от 458 ₽ в месяц. Вот …
❤46👍42😁42
Showing the 12 most recent of 107 posts we hold for @oqode. 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.
@oqode 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.
The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Какими инструментами OpenAI вы уже пользуетесь? 👀 👇
The shares total 152%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
👀 Как думаете, сколько стоил AI-агент, который 40 дней работал с рекламой? Речь о реальном проекте компании с выручкой 960 млн ₽ за последние 12 месяцев.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
⌛️Где ИИ экономит вам больше всего времени
The shares total 180%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 107 most recent posts we hold, published 26 July 2026 to 26 September 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 4 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.
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.
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.
Read from Telegram’s recommendation API, most recently 30 August 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.
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.
This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“💎 Зерокодер | Нейросети и искусственный интеллект” (@oqode), 39,483 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/oqode.
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.