Channel
@fast_ml
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
331subscribers
-1 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003849785030 |
|---|---|
| Type | Channel |
| Username | @fast_ml |
| Created | 16 April 2026 — measured — dated from the channel’s first post |
| First recorded | 9 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/fast_ml |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 14:36 | 331 | -1 |
| 9 Aug 2026, 17:00 | 332 | no change |
| 9 Aug 2026, 16:48 | 332 | first reading |
9 posts held, back to 16 April 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 17 May 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video 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.
207 reactions across 8 posts, in 10 distinct kinds. The most used accounts for 48.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 101 | 48.8% | |
| 👍 | 44 | 21.3% | |
| custom 5312067022580883670 | 18 | 8.70% | |
| custom 5409347400475091590 | 17 | 8.21% | |
| ❤ | 11 | 5.31% | |
| custom 5402483505865171290 | 7 | 3.38% | |
| custom 5399873540138738940 | 5 | 2.42% | |
| 🤩 | 2 | 0.966% | |
| 👎 | 1 | 0.483% | |
| 👨💻 | 1 | 0.483% |
Custom emoji. 4 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.
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 8 of the 9 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 207reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 16 April 2026 to 17 May 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.
Лицезрел тут нагрузку на курьеров ВВ в субботу (пиковый день для доставки). Насчитал 13 простаивающих великов. Мб часть из них припаркована и курьеры не на смене, но сумки висят на всех. А обычно сумки хранятся на цфз, курьер при выходе на смену их забирает. Кажется есть куда растить эффективность ребятам.
👍13custom 54093474004750915909
Всем привет! Вторая часть про работу курой уже готова Внутри ряд инсайдов, простой аналитики и основные мысли как развивать модель для опозданий Долго не мог из себя выжать текст, так как занят выкаткой модели в прод. https://telegra.ph/Intern-Courier-Partner-ili-kak-ya-stazhirovalsya-i-rabotal-kurerom-partnerom-CHast-2-05-16-2
🔥18👍5custom 53120670225808836703custom 53998735401387389401
Готовлю план постов. О чем интересно почитать?
The shares total 262%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
custom 53120670225808836709custom 54093474004750915906custom 54024835058651712904👍2
А еще можете поздравить нашу команду и меня лично с тем, что в мае (после моего отпуска) мы будем выкатывать модель в прод на все ЦФЗ самоката Большой успех кмк Это серьезный шаг для такой большой компании - отдать полностью на откуп мл алгоритму вывод курьеров (на самом деле, бизнес сможет править руками, но базовый прогноз будет строиться моделью) но не зря у нас было пять АБ тестов с августа месяца 😶
🔥20👍10custom 53120670225808836706👎1custom 54093474004750915901
Intern Courier Partner или как я стажировался и работал курьером-партнером Часть 1 Зачем я туда шел? С августа месяца я разрабатывал модель, которая должна выдавать максимальную нагрузку на курьеров (число заказов в час) при условии, что опоздания составят заданную бизнесом величину. Таким образом, бизнес получает максимальную эффективность работы доставки и предсказуемые опоздания, которые можно допускать побольше…
🔥34👍9custom 53998735401387389404custom 54024835058651712903custom 54093474004750915901
Уважаемые читатели с linkedin, кого мне удалось сюда заманить постом про работу курьером Отчет скоро будет, отработал уже 5 смен (порядка 20 часов) Хочу осмысленную аналитику подготовить, хоть я и шел понять откуда берутся критические опоздания (>10 минут), а опоздал критически, видимо 0 раз 😁, все равно есть интересные инсайды Stay tuned
🔥12❤5👍4
Цели этого канала Их несколько Цель № 1 Make Classic ML Great Again Стойкое ощущение, что классическое машинное обучение уже не модно, и никто им не занимается агенты и ЭйАй это 🟡 Но тут возникает вопрос Много вы встречали агентов или развернутых в компаниях LLM, которые (даже без вычета стоимости использованных GPU) приносили существенные деньги компании? Я вот не встречал пока, поэтому у меня двоякое ощущение…
🔥13🤩2👍1
Пост-знакомство Я вас категорически приветствую! Меня зовут Никита Фокин, я лид ml команды в ecom.tech На данный момент тружусь над задачами Самоката Наша команда отвечает за эффективность работы дарксторов, мы готовим прогноз числа часов массового персонала (курьеров, сборщиков), которое необходимо для эффективной работы ЦФЗ (центр формирования заказов = даркстор) В нашем случае эффективная работа это высокая наг…
❤6🔥4👨💻1
Channel created
Showing the 9 most recent of 9 posts we hold for @fast_ml. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Готовлю план постов. О чем интересно почитать?
The shares total 262%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 9 most recent posts we hold, published 16 April 2026 to 17 May 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank — 1,049,726 of 1,345,403entries 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.
“FastML” (@fast_ml), 331 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/fast_ml.
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.