Channel
@mde_channel
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
44subscribers
+0 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003700789980 |
|---|---|
| Type | Channel |
| Username | @mde_channel |
| Description | Прошёл путь от разработки до управления продуктами, но так и не угомонился. Геймдев, нейронки, внедорожные экспедиции и мысли между. От человека, которому не хватило одного чата. |
| Created | Between 1 February 2026 and 15 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/mde_channel |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 16:01 | 44 | no change |
| 8 Aug 2026, 06:50 | 44 | first reading |
15 posts held, back to 15 March 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 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 1 of 3 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 July 2026 |
|---|---|
| Posts held | 15 (15 March 2026 – 27 July 2026) |
| Views total | 397 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 16:01 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.
Lifetime counters from Telegram’s own channel header, read 10 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.
Measured directly from 3 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.
27 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 92.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 25 | 92.6% | |
| 👍 | 2 | 7.41% |
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 7 of the 15 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 27reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 15 March 2026 to 27 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.
Кто я такой что бы сопротивлятся трендам в твиттер. По этому вот. У нас было 20 агентов, 3061 запрос к нейросети, 383 миллиона токенов, 26 архетипов зданий, 14 процедурных текстур и целая галактика разноцветных обломков: черепица, скаты крыш, окна, двери, ставни, стены, водостоки, трубы с оголовками, фундаменты. Не то чтобы всё это было нужно для игры про смерч. Но если ты начал собирать библиотеку ассетов, станови…
🔥5
Движку нужен контент, а собирать воксельные модели руками это боль. Так что сделал тулзу: скармливаешь ей шесть ортографических ракурсов объекта, на выходе готовая воксельная модель в .vox. Ракурсы генерю в ChatGPT, и идеальными они не бывают. Вот прямо в примере видно, что нижний ракурс сгенерился кривовато. Но фишка в том, что даже с таким входом на выходе получается вполне адекватная модель. Пока это генератор ч…
⚡️ Мало ли кто пропустил — Anthropic временно поднял лимиты. Claude Code — +50% к недельному лимиту, до 19 августа Cowork — +100%, до 5 августа
Video, posted without a caption
Video, posted without a caption
исправляюсь с форматом и размером файлов
Давно ничего не писал, исправляюсь Помимо основной работы последнее время ковыряю воксельный движок разрушения в духе Teardown. Делаю на Godot, работает в однопоток в браузере(увы SharedArrayBuffer не везде можно использовать). На бенч-карте 200 на 150 метров стоят 35 разрушаемых зданий, примерно 4.4 миллиона вокселей. На iPhone 12 в браузере держится 39-43 fps, при пробитии дырок в нескольких зданиях проседает до 2…
👍1
Куда я пропал. Если коротко, выгорание, отдых, продукт. Последние месяцы ушли на наш сервис для работы с отзывами на маркетплейсах. Запустили первых пользователей в ограниченном режиме, пошли в кастдев с селлерами разного масштаба и с разных площадок, заодно щупали выход на Amazon. После интервью стало ясно, что продукт надо разворачивать. Аналитика отзывов осталась ядром, но перестала быть самоцелью. Теперь на ней…
🔥4
Третий в серии — RTK (Rust Token Killer) CLI-прокси на Rust, которая перехватывает вывод консольных команд и сжимает его перед попаданием в контекст агента. Тесты, git, ls, grep, docker — поддерживается 100+ команд. Ставится одним бинарником, интегрируется через хук который прозрачно переписывает команды. Суть простая: агенту не нужен весь вывод pytest на 200 строк, ему нужны только упавшие тесты. Не нужен полный л…
🔥4
Эксперимент: Gemma 4 26B локально на MacBook Google выкатили Gemma 4 на прошлой неделе. Четыре размера, Apache 2.0, построена на базе Gemini 3. На бумаге обещают фронтирное качество на параметр. Решил проверить на своем железе. Сетап: M1 Max 32GB, модель 26B-A4B (MoE, активных параметров всего 3.8B), 4-bit квант. Запускал через oMLX - это нативный MLX-сервер для маков с SSD-кэшированием KV-кэша. Заодно хотел потес…
🔥5👍1
Второй в серии — grep-ast. Обычный grep ищет по тексту и выдаёт строки. grep-ast ищет с пониманием структуры кода. В результатах вы видите не просто строку с совпадением, а контекст — к какому классу, методу или функции она относится. Для агента это важно. Когда Claude Code грепает по проекту обычным grep или rg, он получает плоский список строк и дальше вынужден открывать файлы чтобы понять контекст. grep-ast сраз…
🔥4
Давно ничего не писал, на работе был плотно занят софтланчем нового продукта. Хочу начать небольшой цикл публикаций про вспомогательные тулы при работе с нейронками. Что реально помогает, что экономит токены, и как из всего этого выжать максимум. Начну с LSP. LSP-сервер подключается к Claude Code через плагин. Агент получает полноценную навигацию — go to definition, find references, hover, символы, call hierarchy. …
🔥3
Showing the 12 most recent of 15 posts we hold for @mde_channel. 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 — 972,915 of 1,481,306entries 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.
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.
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.
“Mad Dev Experience” (@mde_channel), 44 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/mde_channel.
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.