Channel
@tonntalks
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
78subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002176732278 |
|---|---|
| Type | Channel |
| Username | @tonntalks |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 5 times, most recently 18 September 2026 |
| On Telegram | t.me/tonntalks |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 18:55 | 78 | +1 |
| 9 Aug 2026, 20:17 | 77 | no change |
| 7 Aug 2026, 15:25 | 77 | first reading |
16 posts held, back to 10 June 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 16 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 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.
18 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 38.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 7 | 38.9% | |
| ❤ | 4 | 22.2% | |
| 🔥 | 4 | 22.2% | |
| ✍ | 1 | 5.56% | |
| 👀 | 1 | 5.56% | |
| 👾 | 1 | 5.56% |
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 9 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 18 reactions 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 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.
Всем привет! Вчера встречался с преподавателем и основателем по DataScience, мат оптимизации и CEO IT-организации Senatorov AI Русланом Сенаторовым (заодно прошел аттестацию по OpenSource). Спасибо за качественный курс 🤝 Бурно обсуждали дальнейшее развитие ML и DL, будущие форматы данных и мультимодальность, судя по трендам и корпоративным изменениям в Google и других корпорациях грядут новые тектонические сдвиги в…
Posted without readable text
👍2
Работаем, команда ⚙️ делаем качественных агентов наивысшего качества 🤖
Привествую всех, Друзья! Соц опрос о компактности текста в описании: какое количество текста вам приемлемо читать в описании, например, в таблице, без когнитивного перегруза?
Training in the open rainy sky #workout
❤2👍1🔥1
Любое действие и процесс можно представить, как блок-схему. Особенно важно - определить стартовую точку входа и финальную.
🔥1
коротко о главном
👍2
Эпоха электрокаров ⚡️ #николатесла
☕🦓 Автоматизация добралась уже и до кофе с мороженым. Обычный уличный киоск. Никаких продавцов. Только терминалы, экраны и зебра в окошке. Заказываешь капучино, латте или горячий шоколад через тачскрин, платишь картой - и через минуту получаешь напиток. Всё чисто, быстро и без человеческого фактора. 2026 год. Даже в маленьком летнем киоске с мороженым и коктейлями уже стоит полноценная система самообслуживания. Тех…
Трамп совершил 21 000 сделок с ценными бумагами в 2025 году Согласно финансовой декларации, в 2025 году Дональд Трамп провёл более 21 000 сделок на общую сумму от $600 млн до $1,86 млрд. В среднем - около 85 операций в день. Значительная часть сделок пришлась на периоды высокой волатильности. В ряде случаев одни и те же акции покупались и продавались в один день на разных счетах. В Trump Organization говорят, что …
✍1👀1
Друзья, спасибо всем, кто протестировал моего Ouroboros-агента и дал обратную связь. Для меня это был важный этап: одно дело - тестировать агента самому, другое - выпустить его в реальное пользовательское взаимодействие и увидеть, как он ведёт себя на живых сценариях. По итогам ваших тестов я собрал и сформировал 7 направлений доработок для дальнейшего развития агента: Отдельно ценно, что обратная связь была не аб…
❤1🔥1
10 дней в режиме high-performance: AI, продукты, команда и инфраструктура Иногда полезно остановиться и зафиксировать не только задачи, но и реальный объём движения. За последние 10 дней у меня получился очень плотный спринт на стыке AI, продуктовой разработки, консалтинга, инфраструктуры и управления командой. Что успел сделать: AI / агенты / разработка — сделал MVP Telegram-приложения Yormung на базе Ouroboros…
👍2
Showing the 12 most recent of 16 posts we hold for @tonntalks. 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.
Named by 1 registered channel — 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.
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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“TON | TALKS” (@tonntalks), 78 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/tonntalks.
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.