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Channel

НейроProfit | Соня Pro Ai

@NeuralProfit

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

23,412subscribers

+46 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001701659303
TypeChannel
Username@NeuralProfit
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live22 August 2026
Measurements held14
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/NeuralProfit

Growth

23,36423,41223,3887 August 2026 — 23,366 subscribers7 August 2026 — 23,366 subscribers7 August 2026 — 23,364 subscribers8 August 2026 — 23,367 subscribers9 August 2026 — 23,372 subscribers10 August 2026 — 23,381 subscribers11 August 2026 — 23,392 subscribers13 August 2026 — 23,403 subscribers14 August 2026 — 23,395 subscribers16 August 2026 — 23,396 subscribers17 August 2026 — 23,400 subscribers19 August 2026 — 23,406 subscribers20 August 2026 — 23,400 subscribers22 August 2026 — 23,412 subscribers7 August 202622 August 2026
14 measurements spanning 16 days, net +46. 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 23,357–23,419 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 22:1923,412+12
20 Aug 2026, 13:0623,400-6
19 Aug 2026, 09:5823,406+6
17 Aug 2026, 13:2423,400+4
16 Aug 2026, 02:3723,396+1
14 Aug 2026, 09:1823,395-8
13 Aug 2026, 03:0423,403+11
11 Aug 2026, 23:4223,392+11
10 Aug 2026, 20:4123,381+9
9 Aug 2026, 19:0223,372+5
8 Aug 2026, 22:2023,367+3
7 Aug 2026, 20:1023,364-2
7 Aug 2026, 09:3023,366no change
7 Aug 2026, 09:2723,366first reading

Engagement

38 posts held, back to 20 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 37 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
20.7%
avg views ÷ 23,412 subscribers
Avg views / post
4,860
32 posts measured
Reaction rate
0.9%
reactions ÷ views · ER floor
Posts in window
32
of 38 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 held38 (20 July 202622 August 2026)
Views total155,440
Reactions total1,399
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 20:23 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
13m 04s
Average length
56s

Measured directly from 14 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

1,743 reactions across 38 posts, in 22 distinct kinds. The most used accounts for 42.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥74442.7%
41824.0%
👍27015.5%
👎1056.02%
❤‍🔥412.35%
🤣331.89%
231.32%
🥱201.15%
170.975%
🙏170.975%
👀130.746%
🤝110.631%
😁80.459%
🗿70.402%
👏40.229%
🍾30.172%
🎉20.115%
🤔20.115%
🤩20.115%
👌10.057%
2 further kinds20.115%

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 38 of the 38 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 1,743reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 38 most recent posts we hold, published 20 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
33
across the posts below
Posts paid on
23
of 38 we hold a reading for · 61%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @NeuralProfit. 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 38 most recent posts we hold for this entry, published 20 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, 11:28 UTC≈1,800 views25 reactions1 Starread 22 August 2026
Video

Codex научился синхронизировать импорт из Claude Code и стал доступен на Linux Про сам перенос настроек из других AI-агентов я рассказывала еще в мае. Codex уже умел находить и импортировать инструкции, конфиги, skills, плагины, MCP-серверы, hooks, subagents, slash-команды и недавние сессии. Теперь 💻 OpenAI эту функцию докрутила: в ChatGPT Desktop можно включить автоматические обновления, чтобы перенесенные данные

🔥146🍾2🎉2👍1

21 Aug 2026, 11:08 UTC≈2,570 views21 reactionsread 22 August 2026
Photo

Заявка с лендинга сразу в Telegram и Google Sheets Друзья, на Reddit наткнулась на FormsReach - максимально скучный сервис, который решает очень нескучную проблему: заявки с сайта не должны исчезать в почте или требовать отдельного бэкенда 🔥 🪼 Схема простая: подключаете форму на лендинге к сервису, а новые обращения летят туда, где команда реально работает - в email, Telegram, Google Sheets, Discord или webhook. Э

10🔥6👍3❤‍🔥1👎1

20 Aug 2026, 09:28 UTC≈3,220 views35 reactionsread 22 August 2026
Photo

Наталья Водянова вложилась в Higgsfield. И она там теперь не просто инвестор Higgsfield привлек $400 млн - компанию оценили в $5,4 млрд. Среди инвесторов - DST Global, Goldman Sachs Alternatives, Intel Capital и… Наталья Водянова 🫠 Причем у нее теперь официальный статус Investor + Advisor. То есть она не просто занесла денег и ушла, а будет консультировать команду - в первую очередь по fashion, beauty и creative-ин

🔥1611👀5🤣2🫡1

19 Aug 2026, 11:06 UTC≈3,490 views34 reactions1 Starread 22 August 2026

🎬 Нашла способ не писать длинные промпты - просто покажите видео Все чаще вижу, что вместо простыни текста Codex и Claude Code дают обычную запись экрана. Особенно удобно, когда надо показать баг, объяснить правки в интерфейсе или передать последовательность действий. Смысл вот в чем: 🪼 Записываете экран - Loom, QuickTime, что угодно - и вслух объясняете, что не нравится и что должно получиться 🪼 Даете агенту MP4 и

👍158🔥6🤝2❤‍🔥1👎1👏1

18 Aug 2026, 09:06 UTC≈3,870 views43 reactionsread 22 August 2026
Video

🔥 Нашла штуку, которая сама следит за сайтами конкурентов и показывает только то, что изменилось Знакомо - надо посмотреть рынок, вы открываете сайты конкурентов, смотрите тарифы, кейсы, лендинги, кидаете пару скринов в чат - а через неделю уже не помните, что именно там менялось. Firecrawl умеет следить за этим за вас. Причем настраивается словами, без кода: заходите в дашборд, описываете, за чем следить - сервис

🔥2612🤔2❤‍🔥1👎1🤩1

17 Aug 2026, 12:01 UTC≈3,780 views26 reactionsread 22 August 2026

Это, если что, я руками не собирала. Ролик, текст, промпт, подсказка и хештеги собрались в отдельном канале-витрине к моему боту @neuralp_bot: система сама придумала прием, сгенерила видео через модель в боте, собрала пост и поставила в расписание. Я увидела результат и принесла сюда, потому что тут другая аудитория. 🪼 Самое сложное было не подобрать промпт, а объяснить системе, как я принимаю решения: что считаю х

🔥98👍4👎3❤‍🔥1🤝1

17 Aug 2026, 09:59 UTC≈3,770 views25 reactionsread 22 August 2026
Forwarded from @neurobotimageVideo

⚡ Зум-панч переход для рекламы товара Резкий панч-зум с вспышкой в кадре - прием, который цепляет внимание в первые секунды ролика в Reels и TikTok. Готово без монтажера и CapCut. Animate this exact product photo with a fast snap-zoom transition: start on a steady medium shot of the product exactly as shown in the reference, then in under one second perform a quick punchy zoom-in toward the product with brief motio

11🔥7❤‍🔥3🍾1👀1👍1👎1

15 Aug 2026, 13:59 UTC≈5,040 views65 reactionsread 22 August 2026

🔥 Три скилла для Claude Code, которые стоит поставить 1️⃣ diagram-design - агент рисует нормальные схемы, а не Mermaid-уродцев из 2015-го)) Смотрит на твой сайт, подбирает цвета и шрифты под бренд, выдает готовый HTML. 27 типов визуализаций, от блок-схем до таймлайнов. Автор собрала его, потому что устала по полчаса подгонять каждую схему в Figma. 2️⃣ book-to-skill - закидываешь книгу, документацию или регламент (P

🔥4312❤‍🔥4👍4👏2

15 Aug 2026, 11:27 UTC≈4,020 views20 reactionsread 22 August 2026
Photo

🔥 Manus раздают бесплатно до 25 августа. Но есть нюанс 😅 Если давно хотели потестить Manus, но было жалко кредитов - сейчас хороший момент. До 25 августа Manus 1.6 (платный) и 1.6 Lite можно использовать бесплатно в рамках дневного лимита - цифру Manus не называет, но кредиты при этом не списываются) Max в акцию не входит. Я сама не фанат Manus: агент мощный, умеет исследовать сайты лучше Codex и Claude Code -это

🔥75🙏5👍2👌1

14 Aug 2026, 12:25 UTC≈3,990 views34 reactionsread 22 August 2026
Video

🎬 Видеоредактор и монтажер прямо в ChatGPT Если установка Video Use показалась сложной - попробуй ChatCut - плагин, который подключает к ChatGPT настоящий видеоредактор. Закидываешь исходники, пишешь, что нужно сделать, агент сам собирает монтаж на таймлайне. 🪼 Вырезает паузы, оговорки и чистит звук 🪼 Делает субтитры, переходы и вставки 🪼 Генерирует motion graphics прямо на таймлайне 🪼 Может создать B-roll, картинк

🔥18👍95👎1🤝1

14 Aug 2026, 07:11 UTC≈3,870 views32 reactionsread 22 August 2026
Video

🔥 Soloop - AI-команда для соло-фаундера: CEO, CTO и CMO в одном окне Наткнулась на интересное решение Soloop - approval-first Agent OS для тех, кто строит бизнес в одиночку. Идея простая: ты остаешься владельцем и принимаешь решения, а рутину тащат агенты. Кто в команде: 🪼 AI CEO - планирует, приоритизирует, подсказывает следующий шаг на каждом этапе 🪼 AI CTO - собирает и дорабатывает продукт, закрывает техничку бе

🔥166❤‍🔥6🥱3👍1

13 Aug 2026, 17:21 UTC≈4,250 views46 reactionsread 22 August 2026
Video

🎬 Claude Code теперь можно превратить в видеомонтажера - и просто говорить ему, что сделать Нашла Video Use — опенсорсный скилл от команды Browser Use. Закидываешь исходники в папку, пишешь агенту что-то вроде "собери из этого минутный ролик с субтитрами" - и на выходе получаешь готовый final.mp4. 🪼 Сам вырезает слова-паразиты, оговорки и длинные паузы 🪼 Добавляет и стилизует субтитры 🪼 Делает цветокоррекцию и акку

🔥2512👍8❤‍🔥1

Showing the 12 most recent of 38 posts we hold for @NeuralProfit. 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 — 296,655 of 1,584,142entries 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

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.

Mentions

Named by 10 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.

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.

Промт дня (Приручаем ChatGPT, Midjourney и другие нейросети)
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Telegram ranks this channel #32 of 95 here — alongside 94 others — read 22 August 2026
ChatGPT, помоги!
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Telegram ranks this channel #35 of 91 here — alongside 90 others — read 10 August 2026
Силиконовый Мешок
@prompt_design · 81,996
Telegram ranks this channel #38 of 96 here — alongside 95 others — read 18 August 2026
Технологии | Нейросети | Боты
@aiaiai · 177,358
Telegram ranks this channel #38 of 93 here — alongside 92 others — read 12 August 2026
PROAI
@pro_ai_news · 92,841
Telegram ranks this channel #46 of 92 here — alongside 91 others — read 16 August 2026

This channel appears in 5 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 22 August 2026 — this entry's latest reading, not the date you are reading this.

“НейроProfit | Соня Pro Ai” (@NeuralProfit), 23,412 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/NeuralProfit.

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.