Telegram RegisterThe public register of Telegram

Channel

ЭйАйЛера

@leraneuralpics

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

7,294subscribers

-26 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001397197081
TypeChannel
Username@leraneuralpics
Created4 September 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/leraneuralpics

Growth

7,2947,3207,3075 August 2026 — 7,320 subscribers6 August 2026 — 7,320 subscribers6 August 2026 — 7,313 subscribers10 August 2026 — 7,301 subscribers13 August 2026 — 7,294 subscribers5 August 202613 August 2026
5 measurements spanning 7 days, net -26. 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 7,290–7,324 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 00:337,294-7
10 Aug 2026, 06:427,301-12
6 Aug 2026, 22:317,313-7
6 Aug 2026, 03:077,320no change
5 Aug 2026, 22:027,320first reading

Engagement

15 posts held, back to 16 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 11 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.4%
avg views ÷ 7,294 subscribers
Avg views / post
1,120
15 posts measured
Reaction rate
2.63%
reactions ÷ views · ER floor
Posts in window
15
of 15 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 8 August 2026
Posts held15 (16 July 20268 August 2026)
Views total16,846
Reactions total443
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 17:45 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 43s
Average length
26s

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

348 reactions across 10 posts, in 2 distinct kinds. The most used accounts for 89.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 520885639006759198931189.4%
custom 52089502608728094293710.6%

Custom emoji. Every 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 counts beside them areTelegram’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 15 of the 15 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 443reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 16 July 2026 to 8 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.

Recent posts

8 Aug 2026, 05:50 UTC487 views29 reactionsread 12 August 2026
Video

В Магадане я отчетливо поняла, зачем цифровому художнику резиденция. Поэтому осталась тут еще на 10 дней. Несмотря на мои исследования и заметки, я приехала в место, которое не знала и собираю его по кусочкам: сопки, пушица, крабьи клешни, кость, рисунки на бивнях, разговоры с ботаниками, порт, море, чужая история любви к друг другу и к работе. Самое главное в дата-сетах по прежнему их необъективность и этот магадан

custom 520885639006759198926custom 52089502608728094293

7 Aug 2026, 01:24 UTC531 views8 reactionsread 12 August 2026
Forwarded from @digitalrain_artVideo

🌅 Прошлый фестиваль оставил после себя не только фотографии и видео, но и истории тех, кто оказался внутри этого большого цифрового Петербурга — создавая, исследуя, наблюдая. В прошлом году в дебютном D/G/TAL RA/N приняла участие арт-группировка «Берёзовый промпт», представившая в пространстве «Цифергауз» выставку «Поток несовершенства». 💬 Мы попросили медиахудожника и программиста Тошу Петрова, арт-директора нейро

custom 52088563900675919898

6 Aug 2026, 00:21 UTC670 views29 reactionsread 12 August 2026
Photo

О нашей поездке в резиденцию Рында рассказали в Вести. Магадан. Репортаж о галерее Рында, обо мне и художнице Ольге Тумановой можно посмотреть по ссылке: https://vesti-magadan.ru/obshhestvo/art-rezidencziya-sovremennogo-iskusstva-sopka-zarabotala-v-kvcz-rynda Большое спасибо Наталье Гончаровой, руководителю культурно-выставочного центра Рында, куратору Наталии Горюновой, коллективу Рынды и магаданцам за теплый прие

custom 520885639006759198929

1 Aug 2026, 10:59 UTC≈1,090 views80 reactionsread 12 August 2026
Video

Всем привет! Сегодня у меня день рождения! Праздную я можно сказать на работе, в резиденции в Магадане. Спасибо моей уже любимой галерее Рында, что отобрали меня для участия в резиденции Сопка. Ближайшие недели существую в ритме +8 к Москве. Год был классный: я попрощалась с кучей всего бестолкового и не нужного, путешествовала каждый месяц (да!), начала вайбкожить (о, ужас), сделала несколько выставок, прошла ряд

custom 520885639006759198970custom 520895026087280942910

28 Jul 2026, 16:51 UTC≈1,340 views47 reactionsread 12 August 2026
Photo

Я улетаю в Магадан на художественную резиденцию и в этот раз везу с собой не только технику и кисти с красками, но и целую систему собственных AI-скиллов. За последние месяцы я собрала для художников инструменты, которые помогают искать контекст, работать с архивами, развивать концепцию проекта, планировать производство и готовить заявки. Теперь проверю из внутри настоящей резиденции, где нужно быстро разобраться в

custom 520885639006759198943custom 52089502608728094294

27 Jul 2026, 13:11 UTC≈1,810 views34 reactionsread 12 August 2026
File

Сделала новый скилл: универсальный разведчик опенколлов. Он ищет резиденции, гранты, выставки, проверяет дедлайны, финансирование, скрытые расходы и риски. Просто грузите в языковую модель, которой пользуетесь и начинаете работать. Сопоставляет каждую ссылку и возможность с конкретной практикой и проектом. Отвечает не на вопрос: куда действительно стоит подаваться, с чем и почему?

custom 520885639006759198934

26 Jul 2026, 13:11 UTC≈1,290 views28 reactionsread 12 August 2026
Video

Видео, которое мы сделали недавно по мотивам раскладов таро неожиданно хорошо принимается в инстаграме. Я уже думала, что постить надо только выставки и материалы с них. Нет, сам по себе визуал тоже работает. Я говорю мы, потому что за монтажом как обычно Софья Гаркуша @dingobongi

custom 520885639006759198926custom 52089502608728094292

23 Jul 2026, 17:18 UTC≈1,380 views46 reactionsread 12 August 2026

Сегодня было много негативной энергии, в результате: 💀с Codex разобрала все подписки в инсте, отписалась от нерелевантных, подписалась на нужные, создала шаблоны питчей 🖤отправила несколько заявок на выставки автоматизированно с помощью агента и моего скилла по подбору и оформлению документов (будет эксперимент и посмотрим, что пройдет) 🧠 создала пару рилсов (пока руками, но через Edit) 🏄‍♀️ количество написанных те

custom 520885639006759198936custom 520895026087280942910

22 Jul 2026, 09:37 UTC≈1,640 views37 reactionsread 8 August 2026
File

Я сделала скилл, который помогает художнику не приехать в чужой город с тремя туристическими статьями и маршрутам по давно закрытым музеям. Вы скажите: Лера, может хватит все автоматизировать, да мы и умеем делать ресерч сами? Нет, не хватит плюс работа по уже готовому скиллу идет быстрее, особенно, если ваша LLM знает ваш контекст. Скилл исследует место до поездки: ищет книги, статьи, фильмы, архивы, художественны

custom 520885639006759198930custom 52089502608728094297

21 Jul 2026, 13:36 UTC≈1,390 views10 reactionsread 8 August 2026

Прочла с интересом материал ArtReview про post-AI art. ArtReview собрал Avery Singer, Simon Denny, Holly Herndon, Mat Dryhurst и Jon Rafman, чтобы обсудить, что происходит с искусством после первой истерики вокруг ИИ. Разобрала важное из текста, чтобы вы запомнили имена и культурные симптомы. В тексте про ярлыки, как быстро постинтернет искусство сменилось ИИ-искусством и прочие вопросы, которые именитые авторы реши

custom 52088563900675919899custom 52089502608728094291

20 Jul 2026, 08:14 UTC≈979 views13 reactionsread 6 August 2026
Photo

24 июля в 19:30 в Яндекс Музее на Павелецкой пройдёт открытый паблик-ток «Работа с памятью через технологии и искусство». Память больше не живёт только в семейных альбомах, архивах и рассказах бабушек. Теперь она хранится в облаках, интерфейсах, датасетах и постоянно переписывается вместе с настоящим. Маяна Насыбуллова, Даня Ковчий, Татьяна Миронова и Марина Романова обсудят, как работать с историей в эпоху постоян

19 Jul 2026, 10:19 UTC≈1,010 views36 reactionsread 6 August 2026
Photo

Наделала эскизов для новой заявки на выставку.

Showing the 12 most recent of 15 posts we hold for @leraneuralpics. 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.

Citation-graph rank

Citation-graph rank — 16,412 of 1,345,403entries 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 18 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 · 177,722
Telegram ranks this channel #21 of 93 here — alongside 92 others — read 12 August 2026
Denis Sexy IT 🤖
@denissexy · 134,816
Telegram ranks this channel #53 of 95 here — alongside 94 others — read 13 August 2026

This channel appears in 2 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“ЭйАйЛера” (@leraneuralpics), 7,294 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/leraneuralpics.

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.