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Channel

Дмитрий Романов - канал

@romanov_it

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

104subscribers

+2 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-1002370708292
TypeChannel
Username@romanov_it
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live4 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 4 September 2026
On Telegramt.me/romanov_it

Growth

1021041037 August 2026 — 102 subscribers9 August 2026 — 102 subscribers14 August 2026 — 103 subscribers4 September 2026 — 104 subscribers7 August 20264 September 2026
4 measurements spanning 28 days, net +2. 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 102–104 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Sept 2026, 17:41104+1
14 Aug 2026, 19:28103+1
9 Aug 2026, 10:15102no change
7 Aug 2026, 14:28102first reading

Engagement

18 posts held, back to 8 May 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 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 18 posts for this entry, the most recent from 30 July 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
25s
Average length
13s

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.

Reaction mix

68 reactions across 17 posts, in 15 distinct kinds. The most used accounts for 26.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1826.5%
1116.2%
🔥913.2%
❤‍🔥57.35%
👌57.35%
😁45.88%
22.94%
22.94%
🏆22.94%
🐳22.94%
👀22.94%
👨‍💻22.94%
🫡22.94%
🤣11.47%
🤩11.47%

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 17 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 68 reactions 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 8 May 2026 to 30 July 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

30 Jul 2026, 10:24 UTC85 views2 reactionsread 9 August 2026
Photo

🤖 Robostral Navigate: роботу для навигации хватит одной обычной камеры Команда из Mistral выкатила модель для навигации роботов, которая отказывается от целого зоопарка сенсоров, привычного для этой задачи. Проблема: топовые навигационные системы обычно завязаны на глубинные камеры, мультикамерные риги или заранее построенные карты — это дорого и сильно ограничивает, на каком железе такое вообще можно развернуть.

🫡2

Signed Дмитрий Романов

17 Jul 2026, 13:20 UTC124 views3 reactionsread 9 August 2026
Photo

Пробую FreeCAD AI c gemma 4 😭

👌2👍1

Signed Дмитрий Романов

28 Jun 2026, 06:33 UTC187 views5 reactionsread 9 August 2026

🖥 Интерсный интрефейс для сборки llm под локальное железо Что пишет автор: Вбейте параметры компьютера слева — симулятор подберёт движок вычислений, модель и квантизацию, покажет живой бюджет видеопамяти, спрогнозирует скорость и соберёт готовую команду запуска. Все числа примерные. ⛓ ссылка #ai #localmodel

2😁2👍1

Signed Дмитрий Романов

26 Jun 2026, 05:51 UTC178 views4 reactionsread 9 August 2026

🤩 Принстон открыл доступ к материалам курса Introduction to Robotics Наткнулся на отличный академический курс от лаборатории IRoM Принстонского университета. Все видеолекции, слайды и материалы выложены в открытый доступ. Это мощная база, если нужно систематизировать теорию и алгоритмы, стоящие за автономными системами — будь то наземные платформы (UGV) или БПЛА. Что разбирают в курсе: 🔸 Кинематика (Inverse Kinemat

👍3👌1

Signed Дмитрий Романов

19 Jun 2026, 09:10 UTC157 views3 reactionsread 9 August 2026
Video

Как лето проводите?🙈

🐳2😁1

Signed Дмитрий Романов

17 Jun 2026, 14:18 UTC158 views2 reactionsread 9 August 2026

😊 Новая gemma. Пробуем? No matter your GPU. No matter your RAM. If you've got ~4.5 GB of VRAM or unified memory free, you can run your own private, offline coding assistant right now. 🚀 This is the v1 / code edition — distilled from real chain-of-thought so it thinks through a problem before writing the solution. 🧠💻 All local, all yours, no API, no cloud. 👉 https://huggingface.co #ai #localmodel

👌2

11 Jun 2026, 11:48 UTC186 views6 reactionsread 9 August 2026
Photo

🛸 Gazebo + Ardupilot SITL + rhumb.kz 👀 #fms #gazebo

❤‍🔥2🏆2👍2

7 Jun 2026, 13:21 UTC244 views5 reactionsread 9 August 2026

🗣 Higgs Audio v3 TTS — 4B модель для генерации речи! Если вы пилите голосовых ИИ-агентов, на эту модель точно стоит обратить внимание. Она создана специально для диалогов: не просто «читает текст», а генерирует живую, выразительную речь с мгновенным откликом. Главные фичи: Стриминг с ультранизкой задержкой: Модель начинает синтезировать аудио ещё до того, как LLM выдала предложение целиком или дошла до знака преп

👍31😁1

2 Jun 2026, 07:15 UTC187 views7 reactionsread 9 August 2026

🤩 ROS 2 Task Orchestrator Собрал удобный инструмент для координации задач в экосистеме ROS 2. Если вы устали жонглировать экшенами и хотите более предсказуемого управления поведением вашего робота — заглядывайте в репозиторий. ◼️🔶 https://github.com/intensedr/ros2_task_orchestrator Звёздочки, форки категорически приветствуются! 🤝

4🔥2👍1

31 May 2026, 07:20 UTC193 views4 reactionsread 9 August 2026
Photo

🧠 Обучаем LLM с нуля — на одной GPU Достаточно интересный репозиторий для тех, кто хочет разобраться, как устроены языковые модели изнутри: train-llm-from-scratch. Автор реализовал трансформер на PyTorch по оригинальной статье «Attention Is All You Need» — от загрузки данных до генерации текста. Что внутри: — Датасет: The Pile (825 ГБ, используется ~5–10%) — Токенизация через tiktoken (как в GPT-3) — Реализация ML

2👨‍💻2

30 May 2026, 07:06 UTC453 views4 reactionsread 9 August 2026
Photo

Бесплатные API нейросетей — что реально работает Groq — самый щедрый по лимитам → console.groq.com 🔹Llama 3.1 8B — 14 400 req/день, 500K токенов 🔹Llama 3.3 70B — 1 000 req/день, 100K токенов 🔹Llama 4 Scout 17B — 1 000 req/день, 500K токенов 🔹Speech-to-text (Whisper) — 2 000 req/день, 28 800 сек аудио 🔹API совместим с OpenAI OpenRouter — агрегатор бесплатных моделей → openrouter.ai 🔹Без пополнения: 50 req/день 🔹По

2👍2

Showing the 12 most recent of 18 posts we hold for @romanov_it. 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.

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 4 September 2026 — this entry's latest reading, not the date you are reading this.

“Дмитрий Романов - канал” (@romanov_it), 104 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/romanov_it.

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.