Telegram RegisterThe public register of Telegram

Channel

Джимми Нейрон 🚀

@JimmyNeiron

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

14,296subscribers

-47 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001828807840
TypeChannel
Username@JimmyNeiron
Created22 November 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/JimmyNeiron

Growth

14,29614,34314,319.55 August 2026 — 14,343 subscribers6 August 2026 — 14,343 subscribers6 August 2026 — 14,335 subscribers8 August 2026 — 14,325 subscribers8 August 2026 — 14,319 subscribers10 August 2026 — 14,311 subscribers11 August 2026 — 14,306 subscribers12 August 2026 — 14,302 subscribers13 August 2026 — 14,296 subscribers5 August 202613 August 2026
9 measurements spanning 7 days, net -47. 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 14,289–14,350 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 01:1414,296-6
12 Aug 2026, 00:2314,302-4
11 Aug 2026, 03:1114,306-5
10 Aug 2026, 00:4114,311-8
8 Aug 2026, 23:0314,319-6
8 Aug 2026, 01:3814,325-10
6 Aug 2026, 22:2114,335-8
6 Aug 2026, 02:2214,343no change
5 Aug 2026, 23:4414,343first reading

Engagement

16 posts held, back to 15 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 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
21.7%
avg views ÷ 14,296 subscribers
Avg views / post
3,110
16 posts measured
Reaction rate
3.19%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 11 August 2026
Posts held16 (15 July 202611 August 2026)
Views total49,700
Reactions total1,585
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 11:19 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
1m 09s
Average length
23s

Measured directly from 3 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

1,330 reactions across 13 posts, in 13 distinct kinds. The most used accounts for 46.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁61946.5%
🔥34125.6%
20915.7%
👍886.62%
👏332.48%
❤‍🔥141.05%
🤯120.902%
🕊60.451%
🍾20.15%
🏆20.15%
😍20.15%
🎉10.075%
🐳10.075%

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 16 of the 16 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 1,585reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 15 July 2026 to 11 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
77
across the posts below
Posts paid on
2
of 16 we hold a reading for · 13%
Most on one post
68
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @JimmyNeiron. 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 16 most recent posts we hold for this entry, published 15 July 2026 to 11 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

11 Aug 2026, 13:20 UTC≈1,630 views92 reactionsread 12 August 2026
Video

Умельцы (я) запустили DOOM на ковре

😁68🔥156🤯3

7 Aug 2026, 13:49 UTC≈3,030 views84 reactionsread 12 August 2026
Photo

Кинокритик Роман Волобуев напомнил о крутом примере использования ИИ в кино (которое никто не заметил). Речь про фильм «Фуриоса: Хроники Безумного Макса» (2024). Юную Фуриосу играла 12-летняя актриса Элайла Браун, а более взрослую — Аня Тейлор-Джой. Команда не просто нашла похожую актрису: с помощью ИИ они объединили черты лиц двух актрис, чтобы переход между возрастами выглядел естественно. По словам Тейлор-Джой,

38🔥29👍16🤯1

7 Aug 2026, 12:24 UTC≈2,510 views92 reactionsread 12 August 2026
Photo

Боксерские груши в виде Колобка Посвящается всем фанатам Человека-паука

😁77🔥8👏51👍1

6 Aug 2026, 16:21 UTC≈2,610 views95 reactionsread 12 August 2026
Photo

Судью — на мыло! А лучше, мыло — на судью

😁6712👍10👏6

6 Aug 2026, 12:43 UTC≈2,450 views28 reactionsread 12 August 2026
Photo

LLM Студия от SYNTX Ребята из SYNTX.AI обновили свою LLM Студии. Модели могут взять на себя задачу целиком: составить план, выйти в интернет, найти актуальную информацию, изучить сайты, всё посчитать и перепроверить, а затем принести готовый результат. Например, можно одним запросом попросить модель: — собрать данные из нескольких источников; — проанализировать таблицу; — написать и запустить код; — построить интер

😁14👍10👏3🐳1

5 Aug 2026, 14:01 UTC≈2,460 views208 reactions9 Starsread 12 August 2026
Photo

Идея для шлёпок: обгоревшие на солнце близнецы-усачи

😁122🔥5618👍10👏2

5 Aug 2026, 11:20 UTC≈2,720 views81 reactions68 Starsread 12 August 2026
Video

Ну, ребята, я в восторге. Идею мини-мультфильма я придумал много лет назад. Раскадровку сделал в Nano Banana еще в апреле. И вот, наконец, сделал ролик Seedance 2.5 за несколько минут. Короткая история о временной петле и волшебном мече.

47🔥23👍8👏3

5 Aug 2026, 08:57 UTC≈2,960 views91 reactionsread 12 August 2026
Video

В CapCut появился Seedance 2.5 Там можно генерировать 30-секундные видео в 720p. Ловите видео, которое я давно хотел сделать: Марти Макфлай в мире киберпанка в стиле Альберто Миелго.

🔥67👏119👍4

3 Aug 2026, 13:26 UTC≈3,000 views136 reactionsread 12 August 2026
Photo

Гайдайверс Что, если фильмы Леонида Гайдая образовывали бы одну большую гайдаевскую киновселенную? В ней есть свои герои, злодеи, кроссоверы и даже путешествия во времени. Шурик проходит путь от студента до изобретателя машины времени, Трус, Балбес и Бывалый регулярно возвращаются в новых приключениях (кстати, они появлялись не только в фильмах Гайдая), а «Иван Васильевич меняет профессию» открывает дверь в мультив

😁73🔥39❤‍🔥145👍3🎉1😍1

29 Jul 2026, 06:02 UTC≈4,320 views119 reactionsread 12 August 2026
Photo

Боксерская груша в виде Дуо Посвящается всем жертвам манипуляций любителям Дуолинго

😁8521🔥12🕊1

28 Jul 2026, 16:24 UTC≈3,240 views35 reactionsread 12 August 2026
Photo

ИИ-браузеры будущего Еще недавно браузер был просто окном в интернет, мы самостоятельно искали нужную информацию (и результат зависел от умения «гуглить»). Но с появлением генеративных нейросетей эта модель начала меняться. Сначала появились ИИ-сниппеты с короткими ответами, потом нейросети стали интегрироваться в браузер (сначала как отдельные фичи, а затем уже как полноценные ИИ-ассистенты). Браузер постепенно пр

10👍10🕊5🤯4🍾2🔥2😁2

25 Jul 2026, 07:02 UTC≈3,750 views117 reactionsread 12 August 2026
Photo

Столик в виде Мамочки-Две-Тапочки Лицо хозяйки кота Тома из «Тома и Джерри» никогда не показывали. А что, если у нее и не было головы? Звучит как идея для журнального столика! На самом деле показывали один раз мельком, но это не в счет.

😁7624👍12🤯4👏1

Showing the 12 most recent of 16 posts we hold for @JimmyNeiron. 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

@JimmyNeiron 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.

First edit seen
8 August 2026
Most recent edit
8 August 2026

Citation-graph rank

Citation-graph rank — 108,023 of 1,151,006entries 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 9 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.

Технологии | Нейросети | Боты
@aiaiai · 177,975
Telegram ranks this channel #40 of 93 here — alongside 92 others — read 12 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Джимми Нейрон 🚀” (@JimmyNeiron), 14,296 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/JimmyNeiron.

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.