↓ Solo-фаундеры с высоким уровнем дохода демонстрируют быстрый рост. Ещё один источник по росту солопренерства в США — Stripe 🔗 статья Мы обнаружили, что в нашем индексе значительно увеличилось число индивидуальных предпринимателей, зарабатывающих более 100 000 долларов, но еще больше возросло число тех, кто зарабатывает на более высоких пороговых уровнях дохода, с явным ускорением с 2023 года. В 2025 году более ч…

Channel
ИИ для продакта & CPO | Влад Прошинский
@AImademyday
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,389subscribers
+4 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 | -1001909137402 |
|---|---|
| Type | Channel |
| Username | @AImademyday |
| Created | Between 1 March 2023 and 30 November 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 2 times, most recently 13 August 2026 |
| On Telegram | t.me/AImademyday |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 13:23 | 1,389 | +3 |
| 7 Aug 2026, 14:14 | 1,386 | +1 |
| 7 Aug 2026, 10:47 | 1,385 | no change |
| 7 Aug 2026, 10:33 | 1,385 | first reading |
Engagement
18 posts held, back to 30 July 2026 — the 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
- 8.40%
- avg views ÷ 1,389 subscribers
- Avg views / post
- 117
- 18 posts measured
- Reaction rate
- 1.55%
- reactions ÷ views · ER floor
- Posts in window
- 18
- of 18 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. It is computed over the 10 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 18 (30 July 2026 – 6 August 2026) |
| Views total | 2,101 |
| Reactions total | 19 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 10:47 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.
Reaction mix
19 reactions across 9 posts, in 2 distinct kinds. The most used accounts for 73.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 14 | 73.7% | |
| 🔥 | 5 | 26.3% |
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 10 of the 18 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 19reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 30 July 2026 to 6 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
Миллионом сейчас никого не удивишь 😁 Поделился своим опытом про «новое SEO» — AEO https://www.rambler.ru/pro/professii/56863720-prodvizhenie-v-neyrosetyah-pravda-o-novoy-professii-i-dohodah-v-ney/
Рост роли «AI Product Builder» Традиционные PM-роли сокращаются (до 30% в целом и до 70% в SaaS), вместо них растёт гибридная роль Product Builder — человек, который сочетает product thinking, техническую грамотность, дизайн и быстро прототипирует/шиппит с помощью AI. Количество таких специалистов резко выросло. Организации перестраивают весь product lifecycle вокруг AI. В статье Forbes (от 30 июля 2026): «The Ris…
😮 Пока ИТ-спецы старой эпохи не могут найти работы, рекрутеры не могут закрыть ИИ вакансии, опытных специалистов очень мало
Ключевое за 3 дня ⚡ Главное • Google DeepMind запускает интеллектуальный слой для робототехники — Gemini Robotics ER 2 reasoning и действует одновременно. • Alibaba запускает Qwen3.8-Max — крупнейшую модель — Модель 2,4 трлн параметров, конкурирует с Fable 5, открытые веса на след. неделе. 📈 Рост и Оптимизация • Google AI Overviews охватывают 43% поисков — Доля выросла с 15% за год, пользователи реже переходят на с…
🛠 Инструменты • Anthropic выпустила более дешёвую и производительную модель — Новая модель превосходит Fable 5 по ключевым бенчмаркам при меньших ограничениях. • Microsoft подтверждает запуск Copilot Super App в этом году — Объединит чат, кодинг и AI-агентов в едином приложении. • DeepSeek V4 Flash нацелился на рынок кода со скидкой 99% — Модель с агрессивным ценообразованием, скидка 99%. • Qwen 3.8-Max: новый станда…
Ваш ИИ-агент страдает от синдрома "первого правильного ответа" — и это стоит вам денег Спросите Claude Code или Codex "накидай идеи" — и получите три варианта одной и той же мысли, просто пересказанной другими словами. Это не баг конкретной модели. Это системная проблема всех LLM-агентов. Почему агенты не умеют брейнштормить Модель обучена находить самый частый паттерн в данных. Частый ответ = хороший ответ, так о…
🔥1
n8n VS code Во 2 полугодии 2026 до сих пор обсуждают насколько нужен n8n , если уже есть готовые и продвинутые AI агенты, которые могут собирать готовые решения. Кто-то говорит что n8n не нужен. В этом 🎞 интервью подробно разобрана практическая сторона этого вопроса, потому что обсуждать можно бесконечно, а есть реальные задачи, под которые на практике подбираются свои инструменты. Ведь код тоже бывает разный. Шпа…
Graph Engineering. Anthropic починили главный баг мульти-агентов Графы агентов — новый стандарт. Быстрее, масштабнее, умнее. Но есть проблема: один сбой в ноде → портит весь результат. И вы даже не понимаете где именно. Если вы уже пробовали multi-agent пайплайны — вы это видели. Что происходит под капотом Раньше: loop engineering - Один агент - Линейный процесс - Шаг → проверка → следующий шаг Теперь: graph eng…
👍2
Ещё обновил 95% всех своих SKILL-s под Opus 5 Официальный migration guide Anthropic прямо указывает: старые инструкции по верификации и пошаговые процедуры, написанные для Opus 4.x, могут ухудшать качество вывода на новых моделях, потому что модель теперь справляется с этим сама. Это не гипотеза и не маркетинг сторонних блогов — формулировка взята из раздела "Recommended changes" официального migration guide. У мен…
🔥3
Перевел кодинг агенты на DeepSeek-v4-Flash-0731 Он шустрый, дешевый и не хуже Kimi K3 или Fable. Модель уровня GLM-5.2 / Opus 4.8 / GPT-5.5, то есть лучшее что было доступно в мире на апрель 2026 года, но по цене в $0.28 за миллион токенов, то есть в ~100 раз дешевле. Теперь буду бесконечно гонять pipeline /goal в VS code (GLM 5.2 быстро улетал).
🛠 Инструменты • OpenAI запустила две новые модели транскрипции: GPT-Live-Transcribe и GPT-Transcribe — GPT-Live-Transcribe для низкой задержки, GPT-Transcribe для асинхронной. • Perplexity Personal Computer доступен на Windows — Цифровой работник для создания документов и обновления таблиц. • Google внедрил голосовое управление Gemini для Mac — Удерживайте Fn и говорите; Gemini видит экран и выполняет задачи. • Space…
👍3
Showing the 12 most recent of 18 posts we hold for @AImademyday. 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 — 284,773 of 1,480,688entries 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 7 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.
Named by
Channels on the register whose posts name this channel's handle.
@MENA_vacancies · 7920 postsProduct Hunt Daily
@producthunt_com · 920 postsVideos of AI @ YouTube
@vlad_ai_videos · 4120 postsProduct Management & AI
@ruspm · 25,2413 postsAI Newsroom
@AINewsroom · 611 postЕкоммерсант
@leocommerce · 321 postНейронки и право
@NeironkiIPravo · 2791 post
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
“ИИ для продакта & CPO | Влад Прошинский” (@AImademyday), 1,389 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/AImademyday.
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.