Telegram RegisterThe public register of Telegram

Channel

ИИнтересное у Эда

@ed_aimore

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

1,356subscribers

-1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002043673248
TypeChannel
Username@ed_aimore
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/ed_aimore

Growth

1,3561,3571,356.57 August 2026 — 1,357 subscribers7 August 2026 — 1,357 subscribers10 August 2026 — 1,356 subscribers7 August 202610 August 2026
3 measurements spanning 3 days, net -1. 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 1,356–1,357 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 23:291,356-1
7 Aug 2026, 22:201,357no change
7 Aug 2026, 14:391,357first reading

Engagement

16 posts held, back to 10 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
18.0%
avg views ÷ 1,356 subscribers
Avg views / post
244
4 posts measured
Reaction rate
3.48%
reactions ÷ views · ER floor
Posts in window
4
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 7 August 2026
Posts held16 (10 June 20267 August 2026)
Views total976
Reactions total34
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 22:20 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
18s
Average length
18s

Measured directly from 1 video 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

162 reactions across 15 posts, in 12 distinct kinds. The most used accounts for 35.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥5835.8%
👍4829.6%
😁2213.6%
🤡63.70%
🤯63.70%
👏53.09%
🤔53.09%
🤗42.47%
21.23%
❤‍🔥21.23%
😍21.23%
😱21.23%

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 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 162reactions 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 10 June 2026 to 7 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

7 Aug 2026, 18:22 UTC145 views6 reactionsread 7 August 2026

Итак, куда я пропадал? У нас в Сеометрии была цель — 100 платящих клиентов, к которой мы довольно плотно шли последние три месяца 🎯 За это время мы с командой сделали больше 1000 касаний с бизнесом и провели около 300 онлайн-встреч. Агентства, интернет-магазины, услуги, агрегаторы, SaaS-платформы — поговорили почти со всеми 📞 Параллельно сильно переделали продукт и выпустили собственную AI-аналитику 🤖 Если вы сле

👍3❤‍🔥2🔥1

25 Jul 2026, 18:19 UTC254 views9 reactionsread 7 August 2026

Так и не понял 🤔 Вайбкодинг — это когда кодеры научились вайбовать или вайберы научились кодить?

😁5🤔2👍1🤯1

24 Jul 2026, 17:02 UTC260 views8 reactionsread 7 August 2026
Photo

Тут это, Opus 5 подъехал... подробнее тут. Стоимость прежняя как у Opus 4.8, дешевле Fable 5 в 2 раза но при этом опережает в бенчмарках. Мой канал: ИИнтересное у Эда

🔥5👏2🤯1

19 Jul 2026, 11:30 UTC317 views11 reactionsread 7 August 2026

Сегодня с ИИ прототип продукта можно собрать за выходные. Рабочий MVP, в зависимости от сложности, за несколько недель или месяц. Сам процесс стал очень быстрым, особенно с наличием опыта, но, чаще всего стоит вопрос: А что строить? Делать очередной красивый аналог того, что уже есть, кажется не самой перспективной стратегией. Я собрал несколько AI-first продуктов, которые появились именно благодаря ИИ и находятся

👍5🔥3😍2🤯1

9 Jul 2026, 17:52 UTC354 views8 reactionsread 7 August 2026
Photo

Вся линейка новых моделей GPT: Luna, Terra, Sol появились в Openrouter Обещали четверг — сделали. В личном кабинете пока что не замечено, раскатывают потихоньку Мой канал: ИИнтересное у Эда

🔥4👍3🤯1

9 Jul 2026, 06:17 UTC330 views11 reactionsread 7 August 2026

Какое-то безумие происходит на рынке LLM-моделей. OpenAI уже сегодня должны публично выкатить GPT-5.6: Sol, Terra и Luna. Sol — флагман, Terra попроще и дешевле, Luna — самая быстрая версия. У части пользователей модели уже начали появляться в Codex. Параллельно xAI выпустили Grok 4.5. Модель делали вместе с Cursor: её обучали в том числе на триллионах токенов данных о работе разработчиков с кодовыми базами и аген

👍5🔥3🤔3

6 Jul 2026, 09:27 UTC223 views9 reactionsread 7 August 2026
Forwarded from @data_secretsPhoto

В будущем не будет продактов, инженеров и дизайнеров: создатель Claude Code Борис Черный сказал, что нас ждет всего 5 архетипов 1. Prototyper: генератор множества идей, только некоторые из которых будут реализованы. 2. Builder: быстро превращает прототипы и идеи в продукт. 3. Sweeper: чистит UX, упрощает код, оптимизирует систему. 4. Grower: берет продукт и итеративно улучшает его с точки зрения Product-Market Fi

👍4🔥4🤯1

6 Jul 2026, 09:27 UTC265 viewsread 7 August 2026

И так, разработчики, готовы к трансформации? Кажется, приходит некое понимание что с нами будет происходить. Интересно, а куда денутся грейды?

4 Jul 2026, 10:22 UTC298 views11 reactionsread 7 August 2026
Forwarded from @denissexyVideo

Кажется, началось

😁7👍3🔥1

2 Jul 2026, 05:56 UTC220 views9 reactionsread 7 August 2026
Photo

Fable 5 снова доступна Anthropic вернула Claude Fable 5 после паузы из-за экспортного контроля США. Я напомню: сначала модель выкатили как публичный Mythos, потом экстренно отключили для всех, теперь снова включили. Если хотели протестировать её в Claude или Claude Code, можно возвращаться. Надеюсь, в этот раз без квеста с гражданством и документами. Мой канал: ИИнтересное у Эда

🔥5👍3🤯1

30 Jun 2026, 18:47 UTC305 views10 reactionsread 7 August 2026
Photo

Выпустили Claude Sonnet 5 Anthropic обновили свой главный массовый слой: быстрее, умнее и дешевле, чем гонять тяжёлые модели там, где они не всегда нужны. На секундучку в сравнении очень близко к Opus 4.8 Забавный момент по ценам на OpenRouter: Sonnet 5 стоит $2 за вход и $10 за выход на миллион токенов. А Sonnet 4.6 там же дороже: $3 за вход и $15 за выход. То есть новая модель дешевле предыдущей версии. Вобщем

👍5🔥4😁1

26 Jun 2026, 09:33 UTC343 views16 reactionsread 7 August 2026
Photo

Перевели базу знаний на OKF-формат. Я немного выпадал из графика, зато возвращаюсь с кейсом. OKF — Open Knowledge Format. Если коротко, это открытый формат для хранения знаний, предложенный Google Cloud: обычные Markdown-файлы + YAML-метаданные.. Без тяжёлой платформы, закрытого редактора и ощущения, что вся память компании заперта внутри одного сервиса. Раньше для этого были Notion и похожие инструменты, что удоб

🔥11👍32

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

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.

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

“ИИнтересное у Эда” (@ed_aimore), 1,356 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/ed_aimore.

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.