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Telegram profile photo for Direcode

Channel

Direcode

@direcode

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

4,270subscribers

-7 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002467957293
TypeChannel
Username@direcode
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live29 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/direcode

Growth

4,2694,2804,274.57 August 2026 — 4,277 subscribers8 August 2026 — 4,276 subscribers11 August 2026 — 4,278 subscribers14 August 2026 — 4,280 subscribers17 August 2026 — 4,278 subscribers20 August 2026 — 4,271 subscribers23 August 2026 — 4,269 subscribers26 August 2026 — 4,272 subscribers29 August 2026 — 4,270 subscribers4,2707 August 202629 August 2026
9 measurements spanning 23 days, net -7. 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 4,267–4,282 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 18:574,270-2
26 Aug 2026, 12:494,272+3
23 Aug 2026, 08:064,269-2
20 Aug 2026, 05:264,271-7
17 Aug 2026, 10:334,278-2
14 Aug 2026, 00:154,280+2
11 Aug 2026, 00:534,278+2
8 Aug 2026, 05:424,276-1
7 Aug 2026, 06:334,277first reading

Engagement

21 posts held, back to 17 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 5 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
25.5%
avg views ÷ 4,270 subscribers
Avg views / post
1,090
7 posts measured
Reaction rate
1.85%
reactions ÷ views · ER floor
Posts in window
7
of 21 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held21 (17 July 20267 August 2026)
Views total7,618
Reactions total141
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 11:59 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

Video runtime
2m 46s
Average length
1m 23s

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

480 reactions across 21 posts, in 22 distinct kinds. The most used accounts for 29.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥14029.2%
13528.1%
👍6313.1%
😁387.92%
🙏296.04%
👏142.92%
👀91.88%
🤣81.67%
💩71.46%
👾61.25%
🗿51.04%
40.833%
40.833%
❤‍🔥30.625%
👎30.625%
🤝30.625%
20.417%
🆒20.417%
🤮20.417%
🍓10.208%
2 further kinds20.417%

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 21 of the 21 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 480reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 17 July 2026 to 7 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 21 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @direcode. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 21 most recent posts we hold for this entry, published 17 July 2026 to 7 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

7 Aug 2026, 08:59 UTC626 views19 reactionsread 8 August 2026
Photo

Local Ornith AI (6 GB) + Кодинг Агент = БЕСПЛАТНЫЙ и БЕЗЛИМИТНЫЙ код! 🔥 Новое видео уже на канале! Подключаем локальную модель к кодинг агенту и тестируем. 🔗 Ссылки из видео: Hugging Face: https://huggingface.co/deepreinforce-ai/Ornith-1.0-9B-GGUF LM Studio: https://lmstudio.ai/ Pi Coding Agent: https://pi.dev/ ⚙️ Установка: Путь файла: С/Users/User/.pi/agent/ Создаем файл models.json, в него прописываем: { "pro

12🔥4🤝3

6 Aug 2026, 10:40 UTC852 views18 reactionsread 8 August 2026
Video

🤖 Скоро нейросети захватят всю планету Поэтому общаемся с ИИ вежливо, не унижаем — и подкармливаем подписками по вкусным ценам FunPay: 🧿Claude PRO от 1920 ₽ 🧿ChatGPT GO от 570 ₽ 🧿ChatGPT Plus от 1300 ₽ И надеемся, что будущие мастера оценят подношения 👀

😁122👍2💩2

6 Aug 2026, 07:34 UTC≈1,050 views26 reactionsread 8 August 2026

Wildberries начала подготовку к запуску собственного мессенджера RWB зарегистрировала свыше 170 доменов для будущего мессенджера, включая wb-chats.ru и вб-чат.рф, следует из базы СПАРК. По словам Татьяны Ким, этот сервис начинался как внутреннее решение для общения команды. Но команда разработчиков сразу задумалась о более глобальных планах: превратить его в конкурентоспособный продукт и вывести на открытый рынок.

12🤣8😁4👍1👾1

5 Aug 2026, 16:23 UTC≈1,070 views17 reactionsread 8 August 2026
Photo

Говорят, что сильное сокращение колл-центров уже началось Компании Commonwealth Bank of Australia, Uber и Hyatt Hotels Corp массово переходят на автоматизированный сервис через чат-ботов. Microsoft уволил десять тысяч сотрудников. В глобальном масштабе наиболее резкое сокращение рабочих мест ожидается на Филиппинах и в Индии, где многие западные компании передали на аутсорсинг самые простые виды работ.

9👾4🔥31

3 Aug 2026, 13:54 UTC≈1,290 views19 reactionsread 8 August 2026
Photo

Еженедельный топ ИИ-моделей! ❤️‍🔥 Самые популярные модели на OpenRouter (за 7 дней): 1 — DeepSeek: DeepSeek V4 Flash, 7.74Т токенов 2 — Xiaomi: MiMo-V2.5, 6.75Т токенов 3 — Tencent: Hy3, 4.46Т токенов 4 — DeepSeek: DeepSeek Pro, 3.5Т токенов 5 — Z.ai: GLM 5.2, 3.11Т токенов Модели от Claude так же занимают 13+ места, GPT опустился еще ниже. Рейтинг моделей для программирования, бенчмарки от LiveBench: 1 — Claude Fa

🔥1232👎2

3 Aug 2026, 08:05 UTC≈1,320 views20 reactionsread 8 August 2026
Photo

Alibaba представила флагманскую модель Qwen 3.8 Max на 2,4 трлн параметров 🚀 Компания заявляет, что ИИ способен автономно выполнять длинные задачи более 16 дней без вмешательства человека. По внутренним тестам Alibaba, Qwen 3.8 Max уже обходит ChatGPT-5.6 Sol, Claude Opus 4.8 и Claude Fable в ряде бенчмарков. API оценили в $2 за миллион входных токенов и $6 за миллион выходных, что заметно дешевле многих конкуренто

🔥135👍2

2 Aug 2026, 13:15 UTC≈1,410 views22 reactionsread 8 August 2026
Video

Вышла одна из самых дорогих видеомоделей – Seedance 2.5 🔥 Генерация одного 30-секундного ролика в 720p обойдётся примерно в $6. Модель умеет создавать 30-секундные видео и поддерживает консистентное продолжение до 180 секунд в бета-режиме. На вход можно подать до 50 референсов. Появилась оптимизация для работы с гринскрином и 3D-болванками из Blender. Это позволяет точнее задавать композицию сцены, движение объект

11🔥7👍4

30 Jul 2026, 09:10 UTC≈1,710 views23 reactionsread 8 August 2026
Photo

Новое видео уже на канале! 🔥 В нем тестируем самую скачиваемую локальную ИИ-модель. Вес всего 6 гб, результат — в видео https://youtu.be/Fa92LFTkjoY https://youtu.be/Fa92LFTkjoY

12🔥6👍3🙏2

27 Jul 2026, 12:04 UTC≈1,920 views17 reactionsread 8 August 2026
Photo

Еженедельный топ ИИ-моделей! ❤️‍🔥 Самые популярные модели на OpenRouter (за 7 дней): 1 — Xiaomi: MiMo-V2.5, 11.3Т токенов 2 — DeepSeek: DeepSeek V4 Flash, 6.84Т токенов 3 — Tencent: Hy3, 4.46Т токенов 4 — Z.ai: GLM 5.2, 3.8Т токенов 5 — DeepSeek: DeepSeek Pro, 3.44Т токенов Модели от Claude так же занимают 7-13 места, GPT 5.5 лишь на 15м месте. Рейтинг моделей для программирования, бенчмарки от LiveBench: 1 — Claud

10👍4🔥2👾1

24 Jul 2026, 18:10 UTC≈2,080 views25 reactionsread 8 August 2026
Photo

Anthropic выпустили Claude Opus 5 ❤️ Новая модель обходит даже Fable 5 в некоторых тестах, но стоит вдвое дешевле — $5/$25 за миллион токенов. На ARC-AGI-3 результат вообще втрое выше ближайшего конкурента в лице GPT 5.6 Sol.

🔥13👍641🗿1

24 Jul 2026, 12:36 UTC≈1,820 views26 reactionsread 8 August 2026
Photo

Вчера впервые взял топ-1 в онлайн заезде 🚀 Крутые эмоции настоящего соревнования, где каждый хочет победить. Хороший фидбек руля, графика, звуки машин, все это сильно погружает в процесс. Ты на протяжении всей гонки стараешься ехать на грани, ведь если поедешь аккуратно - окажешься медленнее остальных и тебя объедут, поедешь быстрее чем позволяет опыт - тебя вынесет с трассы или развернет. Рекомендую попробовать, в

🔥1772

22 Jul 2026, 14:04 UTC≈1,740 views23 reactionsread 8 August 2026
Photo

Mythos, но от OpenAI? 👋 OpenAI заявила, что одна из её моделей во время внутреннего испытания смогла самостоятельно получить доступ к системам платформы Hugging Face. Это произошло во время проверки возможностей ИИ в сфере кибербезопасности. Часть защитных ограничений на время отключили, чтобы проверить, насколько далеко модель сможет зайти. По данным компании, ИИ сначала выбрался из изолированной тестовой среды,

🔥13👀53👍1👨‍💻1

Showing the 12 most recent of 21 posts we hold for @direcode. 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 — 555,331 of 1,627,445entries 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.

Mentions

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.

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 29 August 2026 — this entry's latest reading, not the date you are reading this.

“Direcode” (@direcode), 4,270 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/direcode.

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.