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Channel

Библиотека PHP программиста 👨🏼‍💻👩‍💻

@php_lib

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

2,064subscribers

+2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001597491317
TypeChannel
Username@php_lib
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live22 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/php_lib

Growth

2,0622,0652,063.57 August 2026 — 2,062 subscribers7 August 2026 — 2,062 subscribers10 August 2026 — 2,063 subscribers13 August 2026 — 2,064 subscribers16 August 2026 — 2,065 subscribers22 August 2026 — 2,064 subscribers2,0647 August 202622 August 2026
6 measurements spanning 15 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 2,062–2,065 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 12:022,064-1
16 Aug 2026, 19:182,065+1
13 Aug 2026, 14:382,064+1
10 Aug 2026, 18:182,063+1
7 Aug 2026, 16:122,062no change
7 Aug 2026, 06:162,062first reading

Engagement

20 posts held, back to 10 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
14.2%
avg views ÷ 2,064 subscribers
Avg views / post
293
5 posts measured
Reaction rate
0.939%
reactions ÷ views · ER floor
Posts in window
5
of 20 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. It is computed over the 4 of 5 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held20 (10 June 20266 August 2026)
Views total1,465
Reactions total11
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:01 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.

Reaction mix

86 reactions across 19 posts, in 8 distinct kinds. The most used accounts for 61.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍5361.6%
🔥2023.3%
💩66.98%
😁33.49%
11.16%
👎11.16%
🤔11.16%
🥴11.16%

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 19 of the 20 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 86reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 10 June 2026 to 6 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.

Recent posts

6 Aug 2026, 06:32 UTC152 views5 reactionsread 7 August 2026
Photo

Сегодня хочу поделиться одной небольшой, но очень полезной привычкой, которая здорово экономит время в работе с PHP-проектами. Когда я только начинал, я постоянно забывал про php artisan tinker (если речь про Laravel) или встроенный интерактивный шелл php -a. А ведь это супер-удобный способ быстро проверить кусок кода, протестировать работу функции или глянуть, что вернет тот или иной запрос. Например, нужно быстро

👍3🔥2

31 Jul 2026, 05:23 UTC303 views1 reactionsread 7 August 2026
Photo

💡 Совет по Laravel Не позволяй запросам к базе данных замедлять работу. Используй фасад Cache в Laravel для временного кэширования данных и сокращения количества обращений к базе. 📲 Мы в MAX 👉 @php_lib

👍1

29 Jul 2026, 09:52 UTC354 views2 reactionsread 7 August 2026
Photo

Нужно ли в PHP перед вызовом функций ставить обратный слэш? Несколько лет назад я прочитал статью «How to dump and inspect PHP OPCodes» в которой наконец увидел, что опкоды в PHP действительно существуют. И кроме того, мы, разработчики, которые пишем на PHP на эти опкоды можем влиять, тем самым оптимизируя производительность нашего кода. В статье так же рассказывалось о том, как применение бэкслэшей может ускорить в

👍1🤔1

27 Jul 2026, 05:50 UTC363 views3 reactionsread 7 August 2026
Photo

Сегодня хочу поделиться темой, которая регулярно спасает мне часы (а иногда и дни) работы — как быстро находить и устранять узкие места в производительности PHP-приложения. Когда проект начинает подтормаживать, первая реакция — «ну, наверное, сервер слабый». А на деле 80% проблем можно найти прямо в коде. Вот мой рабочий чеклист: 1. Включаю профилировщик. Если проект на Laravel — laravel-debugbar или Clockwork.

👍3

25 Jul 2026, 11:10 UTC293 viewsread 7 August 2026

🚀 Подборка полезных IT каналов в Max Системное администрирование, DevOps 📌 https://max.ru/i_odmin Все для системного администратора https://max.ru/bash_srv Bash Советы https://max.ru/sysadminof Книги для админов, полезные материалы https://max.ru/i_odmin_book Библиотека Системного Администратора https://max.ru/i_devops DevOps: Пишем о Docker, Kubernetes и др. https://max.ru/tipsysdmin Типичный Сисадмин https://max

19 Jul 2026, 06:11 UTC387 views2 reactionsread 7 August 2026

Сегодня хочу поделиться полезной практикой, которая реально экономит время при работе с чужим кодом — быстрая навигация и понимание проекта через composer.json. Когда попадаешь в новый проект, чаще всего первым делом начинаешь блуждать по папкам, читать контроллеры, роуты, сервисы… Но есть более быстрый способ понять архитектуру - сразу открыть composer.json. Что можно сразу понять: - Какие библиотеки используются

👍2

10 Jul 2026, 15:37 UTC514 views4 reactionsread 7 August 2026

🔥 Полезная фича в Laravel: скрываем данные с помощью Str::mask() Метод Str::mask() позволяет легко замаскировать часть строки определенным символом (например, *). 💡 Небольшой совет: Начиная с версии Laravel 8.69, этот метод встроен "из коробки" и отлично подходит для безопасного отображения email-адресов, номеров телефонов или токенов. Как это выглядит на практике: $userEmail = '[email protected]'; $maskedEma

👍21🔥1

8 Jul 2026, 06:03 UTC486 views4 reactionsread 7 August 2026
Photo

💡Совет по Laravel: Проверка дат с помощью Carbon Уверен, тебе хоть раз приходилось проверять, истекла ли дата или находится в будущем. Так как Laravel под капотом использует Carbon, у тебя есть доступ к множеству удобных методов, которые позволяют делать это элегантно 🚀 📲 Мы в MAX 👉 @php_lib

🔥4

6 Jul 2026, 04:58 UTC507 views10 reactionsread 7 August 2026
Photo

Как правильно работать с большими массивами данных в PHP, чтобы не убить память и сервер. Когда мы пишем скрипты, которые обрабатывают тысячи (или миллионы) строк — будь то импорт из CSV, выгрузка из БД или массовая обработка, — часто допускается ошибка: всё грузится в память сразу. В итоге сервер умирает от нехватки памяти, а скрипт - от таймаута. Что делать? 1. Частями, а не всё сразу Например, если вы работа

👍6🔥4

3 Jul 2026, 08:07 UTC409 views7 reactionsread 7 August 2026
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Совет по PHP/Laravel 🚀 Когда у вас есть два случая для кастомных исключений, относящихся к одному и тому же домену, вместо создания нескольких классов исключений можно использовать один класс с разными методами! Так код будет чище и лучше структурирован! 💪🔥 📲 Мы в MAX 👉 @php_lib

👍4🔥2👎1

1 Jul 2026, 07:18 UTC443 views3 reactionsread 7 August 2026
Photo

💡 Совет для Laravel‑разработчиков Используйте Crypt facade — он уже есть в Laravel: - Работает на вашем APP_KEY - Шифрует данные через AES‑256‑CBC - Защищает от подделки (MAC) 🔐 Храните API‑токены, пароли и секреты безопасно — прямо из коробки. 📲 Мы в MAX 👉 @php_lib

👍3

28 Jun 2026, 20:09 UTC474 views5 reactionsread 7 August 2026
Photo

Простой, но полезный приём для дебага в Laravel — логирование SQL-запросов в человекочитаемом виде. По умолчанию DB::listen() в Laravel выводит запрос с плейсхолдерами ?, а значения параметров идут отдельно. Это не всегда удобно — сложно быстро понять, что реально выполняется. Вот сниппет, который собирает полный SQL-запрос с подставленными значениями: DB::listen(function ($query) { $sql = $query->sql; fo

👍5

Showing the 12 most recent of 20 posts we hold for @php_lib. 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 — 1,385,067 of 1,584,420entries 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 3 registered channels — 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.

Names

Channels on the register whose handles appear in this channel's posts.

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

“Библиотека PHP программиста 👨🏼‍💻👩‍💻” (@php_lib), 2,064 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/php_lib.

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.