О временных союзниках и постоянных интересах. Ищенко Экономика даёт базу (развития), торговля — приток, для этого страна развивает логистику, которая уже требует участия в геополитике https://t.me/c/2799452606/290

Channel
AkavaT – Thought stream
@AkavaT_thought_stream
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
17subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001986593788 |
|---|---|
| Type | Channel |
| Username | @AkavaT_thought_stream |
| Created | Between 1 April 2023 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/AkavaT_thought_stream |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 20:30 | 17 | no change |
| 7 Aug 2026, 20:07 | 17 | first reading |
Engagement
19 posts held, back to 1 August 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
- 52.6%
- avg views ÷ 17 subscribers
- Avg views / post
- 8.9
- 19 posts measured
- Reaction rate
- 14.0%
- reactions ÷ views · ER floor
- Posts in window
- 19
- of 19 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 4 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 19 (1 August 2026 – 11 August 2026) |
| Views total | 170 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Aug 2026, 20:30 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
- Photos
- 73
- Videos
- 6
- Links
- 276
Lifetime counters from Telegram’s own channel header, read 11 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
6 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 4 | 66.7% | |
| 🔥 | 1 | 16.7% | |
| 🤔 | 1 | 16.7% |
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 4 of the 19 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 1 August 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.
Recent posts
С кинофильмами происходит то же, то и с остальными искусствами в периоды упадка — вылетает середина, из которой обыкновенно растут шедевры. Остаётся совсем уж консервированный массмаркет быстрого разогрева и остаются локальные очаги высокой кухни.
Приятный лайфхак - просить Codex писать красивые новости про прогресс своих проектов Ему это ничего не стоит (ибо в ~/.codex/sessions есть все логи всех проектов), а вот со стороны посмотреть на прогресс во время отпуска - приятно. К слову, Agentic OS на скриншоте - это не очередная AI Native среда для построения следующего единорога (такие продукты сейчас пытаются писать почти все), а просто наглядный пример моего…
В этом месяце мы путешествуем. Поэтому время наедине с лаптопом ограничено. Поэтому я и завел codex демонов на linux сервере. Самое главное, наконец, доделал новую версию full-stack event-driven BDD фреймворка, про который обсуждали на вебинарах по AI Coding. Про подход к BDD спекам в продуктах (еще в эру до LLM) я рассказывал в этой истории. Сейчас получилось сделать их full-stack, привязать к UI компонентам (напри…
любое кино есть синтез показанного на экране с тем, кто это увидел. С книжками, кстати, та же история — это всегда соавторство писателя с читателем. На свете существуют очень одарённые читатели, способные прочесть шедеврально и глубоко даже очень простой текст — и существуют не столь талантливые. Но читать всё равно лучше самого автора, а не то, что друг или робот пересказал.
https://3dnews.ru/1146191/iitogi-july-2026
Поддержка новой (stateless)версии MCP появилась далеко не везде. Например, KiloCode, с котором я много вожусь последнее время, новые MCP сервера подцеплять не умеет. Причем, release candidate новой версии протокола появился еще в мае. Т.е. времени подготовиться было достаточно, но... И тут вчера появляется стандарт Agent Plugins версии 1.0.0 от группы разработчиков: ChatGPT, VS Code, Cursor,... в общем всех кроме ко…
Почему я пока не верю в универсальные темные фабрики софта (dark software factory) Несколько месяцев назад появился тренд на построение полностью автоматизированных фабрик софта: систему, в которой AI-агенты получают цели, а дальше сами формируют задачи, пишут код, запускают тесты и выкатывают изменения в прод, без какого либо участия людей. Эффективным менеджерам далеким от разработки эта идея кажется отличной. Мо…
👍3
Огонь юзкейс. И отлично ложится в мою модель. R&D работа, который находится в начале графа создания (толком никого не ждёт, не блокирует, результат — ценен), а ограничений — минимум (главное чтобы что-то запустилось и не совсем глючило, качество кода неважно). Записал
🤔1
При сохранении нынешних тенденций Европа будет досуха выжата в пользу Китая уже во второй половине текущего века (через каких-нибудь тридцать-сорок лет), после чего превратится в "европейскую Индию" времён британского господства – нищую родину древней культуры, где сохранились памятники прошлого величия, но все сферы общественной и экономической жизни поражены деградацией и неспособны к самовосстановлению без системн…
Но и Китай не занимается экономической благотворительностью. Беря европейцев в долю в прибылях, он фактически дёшево выкупает у них их же будущее. Раздираемый внутренними противоречиями, теряющий доступ к дешёвому сырью и уже потерявший дешёвые энергоносители Европейский Союз не способен препятствовать постепенному, но быстрому перетеканию своей промышленности вместе с технологиями и инженерно-техническими кадрами в …
👍1
Супер! Спасибо, за разбор. Выглядит как два устройства для разных задач. "чатиться" — локально работать с агентом со скоростью человеческого восприятия. "сложные вещи" — автономный агент, который запущен удалённо и работает в цикле
Showing the 12 most recent of 19 posts we hold for @AkavaT_thought_stream. 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 — 883,662 of 1,549,376entries 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.
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
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“AkavaT – Thought stream” (@AkavaT_thought_stream), 17 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/AkavaT_thought_stream.
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.