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Channel

Пресидский залив

@neural_prosecco

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

8,169subscribers

+144 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-1001138049157
TypeChannel
Username@neural_prosecco
Created11 August 2019measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live16 September 2026
Measurements held15
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/neural_prosecco

Topic

Marketing & affiliate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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.

Growth

8,0238,1698,0966 August 2026 — 8,025 subscribers6 August 2026 — 8,025 subscribers6 August 2026 — 8,026 subscribers9 August 2026 — 8,031 subscribers12 August 2026 — 8,036 subscribers16 August 2026 — 8,032 subscribers19 August 2026 — 8,039 subscribers22 August 2026 — 8,034 subscribers25 August 2026 — 8,030 subscribers28 August 2026 — 8,036 subscribers30 August 2026 — 8,023 subscribers3 September 2026 — 8,050 subscribers8 September 2026 — 8,112 subscribers12 September 2026 — 8,162 subscribers16 September 2026 — 8,169 subscribers6 August 202616 September 2026
15 measurements spanning 41 days, net +144. 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 8,001–8,191 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 03:398,169+7
12 Sept 2026, 16:198,162+50
8 Sept 2026, 21:378,112+62
3 Sept 2026, 09:588,050+27
30 Aug 2026, 22:468,023-13
28 Aug 2026, 07:268,036+6
25 Aug 2026, 12:538,030-4
22 Aug 2026, 19:388,034-5
19 Aug 2026, 04:488,039+7
16 Aug 2026, 06:088,032-4
12 Aug 2026, 14:458,036+5
9 Aug 2026, 08:118,031+5
6 Aug 2026, 17:538,026+1
6 Aug 2026, 03:048,025no change
6 Aug 2026, 02:338,025first reading

Engagement

36 posts held, back to 22 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 19 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.1%
avg views ÷ 8,169 subscribers
Avg views / post
826
3 posts measured
Reaction rate
4.68%
reactions ÷ views · ER floor
Posts in window
3
of 36 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 28 August 2026
Posts held36 (22 July 202628 August 2026)
Views total2,478
Reactions total116
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 19:09 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
5m 23s
Average length
1m 21s

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.

Reaction mix

1,423 reactions across 35 posts, in 19 distinct kinds. The most used accounts for 31.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
44631.3%
🔥36525.7%
😁16211.4%
👍15310.8%
😍483.37%
412.88%
💯382.67%
❤‍🔥302.11%
🎉302.11%
🤩281.97%
😱271.90%
🥰151.05%
🏆110.773%
🕊100.703%
👏70.492%
👌60.422%
😢30.211%
🙏20.141%
🌚10.07%

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 36 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 1,423 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 36 most recent posts we hold, published 22 July 2026 to 28 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
132
across the posts below
Posts paid on
10
of 35 we hold a reading for · 29%
Most on one post
101
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @neural_prosecco. 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 36 most recent posts we hold for this entry, published 22 July 2026 to 28 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

28 Aug 2026, 14:06 UTC583 views29 reactionsread 28 August 2026
Forwarded from @mnk_stories

Обожаю истории, когда люди используют продукт не так, как задумали авторы 🤪 Недавний громкий пример – Strava, приложение, где бегуны логируют тренировки. Оно стало безумно популярно, и я постоянно натыкаюсь на виральные ролики со скриншотами оттуда. Казалось бы, что еще? Место, где вы постоянно бегаете, скорее всего безопасно, там есть освещение, тротуар или беговая дорожка. Юзеры стали выбирать район для аренды или

12💯8👏3😁3🎉1🔥1😍1

28 Aug 2026, 12:57 UTC875 views54 reactions11 Starsread 28 August 2026
Photo

Третий день аутрича инфлюенсеров, и теперь я точно могу сказать — это как минимум весело 🍿 Контекст: вместо одного дорогого блогера решили купить охват у сотни маленьких. Конечно же я это делаю не руками - это физически нереально. Весь конвейер - скрейпер, CRM, письма на языке креатора мы собрали с клодом за сутки и уже нашлись несколько ранних интересных инсайтов, о которых стоит помнить. А стек можно посмотреть ту

33🔥11👍5🎉21🥰1😢1

28 Aug 2026, 10:59 UTC≈1,020 views33 reactions10 Starsread 28 August 2026

Лень разбираться как главный движок роста рынка SaaS и что такое tech curiosity 🤨 Вчера я сказала @doraakulshina, что для меня лично большинство SaaS тулов выглядит бесполезно - я, например, не вижу для себя велью в Cursor (да простит меня Илон Маск) или Lovable. Зачем платить за подписку на что-то, что нельзя закастомить и контролировать, если то же самое можно за минуту закодить в клод коде? И уверена, что я не од

16👍74💯2😁2🎉1🔥1

24 Aug 2026, 05:13 UTC≈1,770 views21 reactionsread 28 August 2026

мы выложили запись в коментах!

9🔥72🥰2🏆1

24 Aug 2026, 05:13 UTC≈1,710 views32 reactionsread 28 August 2026
Photo

когда клод не работает больше 30 минут пора объявлять национальный выходной?

😁18💯54🎉31🥰1

23 Aug 2026, 13:55 UTC≈2,240 views50 reactions1 Starread 28 August 2026

Как заставить зумера со спаном внимания 8 секунд пройти онбординг из 15 экранов? 🤨 кмооооон да никак 😳 В 2026м году медианный completion rate онбордингов по приложениям всего 50%. 50, КАРЛ Посмотрите сессии своих пользователей - едва ли они вдумчиво отвечают на каждый вопрос, наверняка большинство кто доходит до конца пролетает онбординг на автопилоте, не читая ни одного экрана и это уже стандарт индустрии, спасиб

338👍6🤩2🎉1

23 Aug 2026, 10:46 UTC≈1,880 views50 reactions2 Starsread 28 August 2026
Photo

всем спасибо за стрим! было круто 💗 запись - в коментах! канал Андрея - @mnk_stories

30🔥12🤩5🎉1👍1🕊1

23 Aug 2026, 09:26 UTC≈1,740 views13 reactionsread 28 August 2026

через 5 минут начинаем

🔥731🏆1😍1

23 Aug 2026, 08:30 UTC≈1,690 views14 reactionsread 28 August 2026

через час проведем стрим! ссылка появится за 5 минут

👍7🔥3😍2🕊1😁1

21 Aug 2026, 08:14 UTC≈1,890 views38 reactions101 Starsread 28 August 2026

в коментах просили накидать еще каналы, которые я читаю. Скажу честно, что не прям каждый пост, но вот те, за которыми наблюдаю и кого сходу вспомнила 💗 и да, тут много моих друзей, куда уж без этого 😂 эйай/tech @boris_again @dealerAI @neuraldeep @senior_augur @kantor_ai @seeallochnaya @grokaem_seby @lovedeathtransformers @denissexy @ai_newz прикладной ai/marketing/growth @golden_nuggets @ilya_krasinsky @marketlead

❤‍🔥199🔥4👌2💯2😍2

21 Aug 2026, 07:56 UTC≈1,700 views8 reactionsread 28 August 2026

Posted without readable text

2💯2😍2🕊1😁1

21 Aug 2026, 06:45 UTCviews —

Пресидский залив pinned «Финальный анонс трансляции 😎 🤯 переносим на неделю вперед - 12:30 МСК 23 августа ссылка появится за 5 минут, поговорим в свободном формате, вопросы/темы можно накидывать в коменты или в форму»

Showing the 12 most recent of 36 posts we hold for @neural_prosecco. 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.

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 17 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.

LLM под капотом
@llm_under_hood · 29,146
Telegram ranks this channel #17 of 96 here — alongside 95 others — read 9 September 2026
gonzo-обзоры ML статей
@gonzo_ML · 24,323
Telegram ranks this channel #24 of 93 here — alongside 92 others — read 16 September 2026
Время Валеры
@cryptovalerii · 30,829
Telegram ranks this channel #24 of 94 here — alongside 93 others — read 6 September 2026
Сиолошная
@seeallochnaya · 79,594
Telegram ranks this channel #25 of 97 here — alongside 96 others — read 19 August 2026
эйай ньюз
@ai_newz · 96,889
Telegram ranks this channel #29 of 94 here — alongside 93 others — read 16 August 2026
Математик в Лондоне
@mathbotan · 26,819
Telegram ranks this channel #43 of 90 here — alongside 89 others — read 11 September 2026
Dev & ML Connectable Jobs
@dev_connectablejobs · 27,750
Telegram ranks this channel #51 of 94 here — alongside 93 others — read 10 September 2026
Machinelearning
@ai_machinelearning_big_data · 280,660
Telegram ranks this channel #51 of 95 here — alongside 94 others — read 10 August 2026
Denis Sexy IT 🤖
@denissexy · 137,325
Telegram ranks this channel #54 of 95 here — alongside 94 others — read 13 August 2026
Data Secrets
@data_secrets · 93,800
Telegram ranks this channel #59 of 98 here — alongside 97 others — read 17 August 2026
Soonicorn jobs
@soonicornjobs · 30,321
Telegram ranks this channel #63 of 78 here — alongside 77 others — read 7 September 2026
Machine learning Interview
@machinelearning_interview · 30,308
Telegram ranks this channel #64 of 98 here — alongside 97 others — read 7 September 2026
Data Science Jobs
@datasciencejobs · 22,057
Telegram ranks this channel #71 of 93 here — alongside 92 others — read 21 September 2026
Hacker News
@hacker_news_feed · 29,682
Telegram ranks this channel #72 of 79 here — alongside 78 others — read 8 September 2026
kyrillic
@kyrillic · 61,020
Telegram ranks this channel #82 of 96 here — alongside 95 others — read 22 August 2026
e/acc
@cryptoEssay · 62,598
Telegram ranks this channel #82 of 96 here — alongside 95 others — read 21 August 2026
Силиконовый Мешок
@prompt_design · 85,657
Telegram ranks this channel #86 of 96 here — alongside 95 others — read 18 August 2026

This channel appears in 17 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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“Пресидский залив” (@neural_prosecco), 8,169 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/neural_prosecco.

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.