Telegram RegisterThe public register of Telegram

Channel

8BitJS

@eightbitjs

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

157subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002616496286
TypeChannel
Username@eightbitjs
DescriptionModern JavaScript. Retro Spirit
Created2 June 2025measured — dated from the channel’s first post
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/eightbitjs

Growth

1576 August 2026 — 157 subscribers8 August 2026 — 157 subscribers6 August 20268 August 2026
2 measurements spanning 2 days. 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 156–158 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 18:15157no change
6 Aug 2026, 23:02157first reading

Engagement

18 posts held, back to 2 June 2025the 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 · 30 days
121.9%
avg views ÷ 157 subscribers
Avg views / post
191
5 posts measured
Reaction rate
1.88%
reactions ÷ views · ER floor
Posts in window
5
of 18 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 21 July 2026
Posts held18 (2 June 202521 July 2026)
Views total957
Reactions total18
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 18:15 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

Links
17

Lifetime counters from Telegram’s own channel header, read 8 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.

Reaction mix

140 reactions across 17 posts, in 7 distinct kinds. The most used accounts for 62.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥8762.1%
👍1913.6%
1410.0%
🏆107.14%
❤‍🔥53.57%
👏32.14%
🤩21.43%

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 140reactions 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 2 June 2025 to 21 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.

Telegram Stars

Stars received
5
across the posts below
Posts paid on
3
of 17 we hold a reading for · 18%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @eightbitjs. 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 18 most recent posts we hold for this entry, published 2 June 2025 to 21 July 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

21 Jul 2026, 14:50 UTC83 views1 reactionsread 8 August 2026

​​Ускоряем O(N + T), не меняя Big O. Часть 5. Зачем здесь WebAssembly После реализации бакетов с показателем benchmark 0,922 секунды, остается два варианта: 1. продолжать бороться с огромным JavaScript файлом; 2. перенести самый горячий участок в WebAssembly. Как уже можно было догадаться по заголовку, выбираем второй вариант. Сразу обращаем внимание, что WebAssembly — не кнопка «сделать быстро/хорошо». Если прос

🔥1

18 Jul 2026, 08:09 UTC384 views9 reactionsread 8 August 2026

​​Итоги CodeRun Summer: 15 задач и 636 попыток решения Финал CodeRun Summer Challenge выглядит аккуратно: 15 задач из 15 и третье место среди JavaScript-решений. Но за рейтингом остались 636 отправок, 443 WebAssembly-модуля и 548 тысяч строк тестов и бенчмарков. Финальные 15 файлов заняли всего 1 142 строки. На одну строку решения пришлось около 480 строк экспериментов. Сложнее всего сказать когда соревнование алг

🔥7🏆1👏1

17 Jul 2026, 18:00 UTC98 views2 reactionsread 8 August 2026

​​Ускоряем O(N + T), не меняя Big O. Часть 4. Кэш, бакеты и упаковка событий В предыдущей части мы сохранили компактный Int32Array и отдельно обработали редкие переполнения. Пришло время заняться оптимизацией времени выполнения. Для каждой заявки мы имеем две операции: diff[a] += s; diff[f] -= s; Всего две записи, как это ускорять и зачем? Итак, у нас две основные проблемы: большой массив, который не помещается

🔥2

16 Jul 2026, 09:13 UTC98 views2 reactionsread 8 August 2026

​​Ускоряем O(N + T), не меняя Big O. Часть 3. Как оставить четыре байта и не сломать ответ Во второй части мы попытались заменить Float64Array на более компактный Int32Array и уменьшили размер разностного массива с 80 до 40 МБ. Но быстро выяснилось, что четыре байта могут незаметно изменить результат, так как сумма отдельных значений может не помещается в Int32. Теперь перед нами стоит задача оставить экономию по

2

15 Jul 2026, 14:07 UTC294 views4 reactionsread 8 August 2026

​​Ускоряем O(N + T), не меняя Big O. Часть 2. Четыре байта, которые могут изменить результат В первой части мы получили решение через разностный массив со сложностью O(N + T) и результатом 1,589 секунды. Big O отвечает на вопрос, как растет количество работы. Но внутри алгоритма куда более важную часть играют размер одной записи в памяти, количество временных объектов, случайные обращения к большому массиву, стоимо

🔥31

14 Jul 2026, 07:00 UTC133 views6 reactionsread 8 August 2026

​​Ускоряем O(N + T), не меняя Big O. Часть 1. Разностный массив — это только начало На прошлой неделе просочился черновик, самые внимательные успели увидеть «исходники» не в 8-битном формате. Теперь же пора восстановиться по-настоящему. Сегодня тема особенно интересная. Многие видели, слышали, а может, и участвовали в CodeRun Summer от нашей любимой алгоритмической компании. Но в этот раз цель не просто решить зада

👍41🔥1

5 Dec 2025, 11:25 UTC≈3,570 views23 reactions2 Starsread 8 August 2026

​​Что пошло не так в React Server Components и чему из этого стоит научиться Последние пару дней во всех фронтенд-пабликах пролетела новость: в React нашли критическую уязвимость с оценкой CVSS 10.0. Она позволяет получить удаленное выполнение кода на сервере. В списках пострадавших оказались все кто используют и/или поддерживают React Server Components (RSC). Но мне захотелось разобраться с инженерной точки зрения

👍12🔥8👏2❤‍🔥1

16 Nov 2025, 07:00 UTC425 views6 reactions2 Starsread 8 August 2026

​​Разностные массивы Давно не было постов, и пока восьмибитный котик продолжает корпеть над очередной статьей по V8, моргая раз в пять минут и делая вид, что он все понимает в исходниках. Сегодня освежу блог чем-то чуть более интересным и полезным. Последние пару лет я старался начать утро с "разгона" на дейликах, но не тех, что вам ставят в календарь на 10 утра, а с задачами на LeetCode. Несколько раз даже попытал

🔥6

21 Sept 2025, 05:46 UTC415 views7 reactionsread 8 August 2026

​​Hoisting в JavaScript: let и function В первой части мы разобрали, как работает hoisting у var: переменная получает undefined ещё на этапе создания контекста, и поэтому доступ к ней до присвоения не вызывает ошибку. Теперь давайте посмотрим, чем отличается поведение let. let function demoLet() { console.log(b) // [1] let b = 10 // [2] console.log(b) // [3] } Байткод функции (сокращённо, с пометками с

🔥52

6 Sept 2025, 18:15 UTC≈1,010 views19 reactions1 Starread 8 August 2026

​​Hoisting в JavaScript: миф о «поднятии» или реальная механика движка Как часто на собеседованиях вам задавали классический вопрос: «Что такое hoisting?» Не растерявшись, мы обычно отвечаем: «Это поднятие переменных и функций наверх их области видимости». Интервьюер одобрительно кивает, и мы идём дальше. Но действительно ли движок переписывает код и «перемещает» объявления? На самом деле это лишь метафора, упроща

🔥134👍2

29 Jul 2025, 20:16 UTC486 views11 reactionsread 8 August 2026

​​Разбор updateState как основного механизма обновления в useState Вернемся к разбору принципов работы useState. Следующим шагом рассмотрим updateState. Каждый раз, когда компонент обновляет свое состояние через useState, React вызывает функцию updateState. Исходный код updateState Заглянем в исходный код: function updateState<S>( initialState: (() => S) | S, ): [S, Dispatch<BasicStateAction<S>>] { return upd

🔥91❤‍🔥1

4 Jul 2025, 15:24 UTC422 views5 reactionsread 8 August 2026

​​Разбор mountState как точки входа в работу useState Начнем с разбора “точки входа” в архитектуры Fiber и механики работы хуков. Что делает mountState При первом рендере компонента React вызывает mountState для инициализации хука. Немного упростим и уберем типизацию внутри исходной функции: js function mountState( initialState ) { const hook = mountStateImpl(initialState); const queue = hook.queue; cons

❤‍🔥3🔥2

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

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 313,942 of 1,183,361entries 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.

Forward network

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.

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.

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.

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

“8BitJS” (@eightbitjs), 157 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/eightbitjs.

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.