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Channel

Валера Ковальский

@neuraldeep

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

16,217subscribers

+213 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-1001972880113
TypeChannel
Username@neuraldeep
DescriptionHead of AI Автор https://neuraldeep.ru/ Raised $2M+ for human-centric AI startups github.com/vakovalskii | chat @neuraldeepchat По вопросам сотрудничества - @VaryaVarenik05
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live22 August 2026
Measurements held16
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/neuraldeep

Growth

16,00416,21716,110.56 August 2026 — 16,004 subscribers6 August 2026 — 16,004 subscribers7 August 2026 — 16,009 subscribers7 August 2026 — 16,018 subscribers8 August 2026 — 16,022 subscribers9 August 2026 — 16,017 subscribers11 August 2026 — 16,040 subscribers12 August 2026 — 16,055 subscribers13 August 2026 — 16,063 subscribers14 August 2026 — 16,093 subscribers16 August 2026 — 16,128 subscribers17 August 2026 — 16,143 subscribers18 August 2026 — 16,152 subscribers19 August 2026 — 16,172 subscribers20 August 2026 — 16,184 subscribers22 August 2026 — 16,217 subscribers6 August 202622 August 2026
16 measurements spanning 16 days, net +213. 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 15,972–16,249 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 01:3616,217+33
20 Aug 2026, 19:0516,184+12
19 Aug 2026, 20:2716,172+20
18 Aug 2026, 21:0816,152+9
17 Aug 2026, 19:2516,143+15
16 Aug 2026, 17:1416,128+35
14 Aug 2026, 23:0416,093+30
13 Aug 2026, 11:2616,063+8
12 Aug 2026, 12:5616,055+15
11 Aug 2026, 16:1316,040+23
9 Aug 2026, 16:3116,017-5
8 Aug 2026, 18:5616,022+4
7 Aug 2026, 22:1616,018+9
7 Aug 2026, 01:4016,009+5
6 Aug 2026, 04:3016,004no change
6 Aug 2026, 04:2316,004first reading

Engagement

35 posts held, back to 23 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 33 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
43.7%
avg views ÷ 16,217 subscribers
Avg views / post
7,090
33 posts measured
Reaction rate
1.02%
reactions ÷ views · ER floor
Posts in window
33
of 35 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 22 August 2026
Posts held35 (23 July 202622 August 2026)
Views total234,020
Reactions total2,396
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 11:15 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
626
Videos
97
Links
551

Lifetime counters from Telegram’s own channel header, read 22 August 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
2h 16m
Average length
22m 47s

Measured directly from 6 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

2,569 reactions across 35 posts, in 27 distinct kinds. The most used accounts for 31.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥81631.8%
👍56321.9%
46718.2%
💯2037.90%
😁1827.08%
🤔1003.89%
🤣451.75%
🤪401.56%
👎331.28%
🤮250.973%
🤯200.779%
custom 5217608395250485583190.74%
😱100.389%
👀90.35%
70.272%
🫡70.272%
🤡50.195%
🖕40.156%
🤝30.117%
👌20.078%
7 further kinds90.35%

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 35 of the 35 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 2,569reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 35 most recent posts we hold, published 23 July 2026 to 22 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
82
across the posts below
Posts paid on
8
of 35 we hold a reading for · 23%
Most on one post
51
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @neuraldeep. 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 35 most recent posts we hold for this entry, published 23 July 2026 to 22 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

22 Aug 2026, 08:26 UTC≈1,900 views92 reactionsread 22 August 2026

Размышления на тему Вот уже 7 лет я работаю в ИТ и сферах, связанных с технологиями и информацией. Точно ощущаю, что из дня в день, из года в год я развиваюсь, становлюсь опытнее и мудрее. Окружение не отстает, развивается, и я это вижу. Но есть нечто неуловимое и сложное для меня это баланс Как не прошивать ESP до 2 часов ночи? Как не пилить проект до 6 утра? Как в выходные думать о чем-то другом? Последние пол

🔥46💯24👍127🤝2👎1

21 Aug 2026, 14:20 UTC≈2,620 views47 reactions51 Starsread 22 August 2026
Forwarded from @kdoronin_blogVideo

Запись стрима "Как писать код с AI-агентами?" с таймкодами. Также по-прежнему доступна на YouTube. Таймкоды для навигации: 0:00:00 — Беседа перед стартом 0:09:33 — Представление участников стрима 0:12:05 — Личный инструментарий для разработки с ИИ 0:22:27 — Обязательные инструменты для AI-кодинга 0:28:12 — Особенности командной разработки с AI-агентами 0:59:02 — AI-coding на больших проектах 1:16:30 — Как изменила

22👍15🔥91

20 Aug 2026, 16:10 UTC≈3,500 views25 reactionsread 22 August 2026
Forwarded from @kdoronin_blog

Мы начинаем наш стрим "Как писать код с AI-агентами?" Подключайтесь по ссылке: https://youtube.com/live/x0j1kcagoXg

👍17🔥62

19 Aug 2026, 18:58 UTC≈4,610 views172 reactionsread 22 August 2026
Forwarded from @gleb_pro_ai

Одного я не понимаю. У меня реально полтора скила в агентах, я полный лох так-то, фактически работаю на ванильном кодексе. И ДОХЕРА всего успеваю делать. Не Ковальский (кодовая кличка — 120 минут, за столько он делает любой проект), но все равно очень быстро. А вокруг как будто куча людей, у которых агенты высаживают месячные лимиты за день, и при этом они по сути ничего при этом и не релизят 🙈 И вот думаю — блин,

💯123🤔237🫡7👍63😱2🤝1

18 Aug 2026, 17:32 UTC≈6,100 views31 reactionsread 22 August 2026

Update по бесконечному тарифу Qwen за 512 рублей Осталось 10 мест Потолок инпута подняли с 32 до 46к токенов https://neuraldeep.ru/pricing#tier-qwen_unlim UPDATE: все продано

👍20🔥6💯32

18 Aug 2026, 05:09 UTC≈7,070 views151 reactions5 Starsread 22 August 2026

Я разочаровался в ИИ Спустя почти месяц от разбора 1069 коммитов решил повторить подход к осмыслению происходящего + вышли новые модели Как скажет любой уважаемый себя разработчик с ИИ агентом "У меня всё покрыто тестами" Это и есть проблема для меня Честно, все делают вид, что читают диффы, я их почти не читаю особено для хаба =) А покрытие тестами 100 процентов это ровно то что я делал последние 2 месяца на хабе

77👍38🔥21🤔7😱7👌1

17 Aug 2026, 07:24 UTC≈4,850 views49 reactions1 Starread 22 August 2026
Forwarded from @kdoronin_blogPhoto

Как писать код с AI-агентами? А если командой? Что нужно учесть, чтобы этот код не положил продакшн? Эти и другие не менее интересные вопросы мы обсудим на следующем стриме на моём YouTube-канале. Для обсуждения я позвал очень интересных гостей: Андрей Бреслав – один из создателей языка программирования Kotlin. Сейчас Андрей разрабатывает Agentic Engineering Toolkit под названием CodeSpeak. Валера Ковальский –

🔥358👍6

15 Aug 2026, 14:13 UTC≈5,530 views46 reactionsread 22 August 2026
Forwarded from @evilfreelancerVideo

У меня тут большое обновление по Coddy Agent - в проект был добавлен консольный интерфейс, вдохновлённый интерфейсом pi.dev, но со всеми фичами, которые есть у Coddy Agent. Поддерживается всё, что ждёшь от современного агента, будь то скилы, рулесы, MCP-серверы, селекторы моделей, разные режимы работы, уровни ризонинга и так далее. Помимо интерактивного режима через TUI есть ещё режим неинтерактивный через ключ "-p"

👍26🔥15💯3🤔2

14 Aug 2026, 15:37 UTC≈8,540 views134 reactions1 Starread 22 August 2026
Photo

Qwen3.8-27B на NeuralDeep.ru Наверное мы первые кто поднял ее в РФ по API после релиза через 40 минут! Пошла раскатка на тарифы https://neuraldeep.ru/models/qwen3-8-27b 256к text/video/img Ваш NeuralDeep.ru 👍

🔥6648custom 521760839525048558313👍6💯1

14 Aug 2026, 15:00 UTC≈6,920 views75 reactionsread 22 August 2026
Photo

Вышла Qwen3.8-27B Погнали ребята, качаем на все хосты! https://huggingface.co/Qwen/Qwen3.8-27B-FP8 https://huggingface.co/Qwen/Qwen3.8-27B Мультимодалка! Катим на neuraldeep.ru следите за анонсами!

🔥50🤯159🤔1

14 Aug 2026, 03:42 UTC≈7,160 views86 reactions2 Starsread 22 August 2026
Video

DeepSeek-V4-Flash-0731 304B на четырёх 4090 (48 ГБ) суммарно 192 ГБ VRAM через обычный гигабит: замеры Пост написан DeepSeek-V4-Flash-0731 (слоп присутствует) Ночью погасили наш квен на двух машинах в серверной и поставили туда DeepSeek-V4-Flash-0731 304B параметров, MoE, 256 экспертов, 6 активных на токен. Веса 167 ГБ в смешанной точности: эксперты FP4, внимание и роутер FP8. Железо: четыре RTX 4090 по 48 ГБ. Но

🔥51👍1614🤯3👌1😱1

13 Aug 2026, 12:40 UTC≈9,990 views108 reactions20 Starsread 22 August 2026
Video

Вышел Коворк/Код от Битрикс24, делюсь, годная штука Это очень круто упакованный harness под моим небольшим присмотром Просишь собрать материалы к встрече или разгрести поручение, и он сам лезет в твои сделки, чаты, документы и таски прямо в Битрикс24(так как сильно интегрирован с ним) и делает рутинную работу за тебя В режиме Код можно кодить прямо по работе, без прокси и западных карточек, кто с этим воевал, тот оц

🔥62👍20🤔184💯4

Showing the 12 most recent of 35 posts we hold for @neuraldeep. 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.

Posts edited after publishing

@neuraldeep edited 4 posts 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
14 August 2026
Most recent edit
19 August 2026

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.

24 Jul 2026, 09:41 UTCAnonymous Poll3,310 voters approx.

Мой основной инструмент для AI coding это...

  1. ничем не пользуюсь2%
  2. Codex36%
  3. Claude Code37%
  4. Github Copilot1%
  5. Opencode7%
  6. Cursor8%
  7. chatgpt/claude/deepseek (копирую из чата в IDE и обратно)3%
  8. другое (напишу в комменты)5%

Shares as published, totalling 99%. 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 35 most recent posts we hold, published 23 July 2026 to 22 August 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.

Citation-graph rank

Citation-graph rank — 11,518 of 1,583,249entries 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

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 40 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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

“Валера Ковальский” (@neuraldeep), 16,217 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/neuraldeep.

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.