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A resourceful newsletter featuring the latest and most important news, articles, books and updates in the world of #javascript 🚀 Don't miss our Quizzes! Let's chat: @nairihar

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📈 Аналитический обзор Telegram-канала JavaScript

Канал JavaScript (@javascript) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 31 391 подписчиков, занимая 4 368 место в категории Технологии и приложения и 13 234 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 31 391 подписчиков.

Согласно последним данным от 22 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -197, а за последние 24 часа — -29, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 5.70%. В первые 24 часа после публикации контент обычно набирает 1.95% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 1 790 просмотров. В течение первых суток публикация набирает 611 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 6.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как javascript, console.log(gen.next().value, processdata, remix, acc.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
A resourceful newsletter featuring the latest and most important news, articles, books and updates in the world of #javascript 🚀 Don't miss our Quizzes! Let's chat: @nairihar

Благодаря высокой частоте обновлений (последние данные получены 23 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

31 391
Подписчики
-2924 часа
-707 дней
-19730 день
Архив постов
Love it!🔥
Love it!🔥

What is the output?
Anonymous voting

CHALLENGE

const array = [1, 2, 3, 4, 5];

const result = array.map(num => Promise.resolve(num * 2));

console.log(result);

🕺 9K Strong! Together, we're creating a community that thrives on knowledge, support, and positive vibes. 🎉 Cheers to 9K an
🕺 9K Strong! Together, we're creating a community that thrives on knowledge, support, and positive vibes. 🎉 Cheers to 9K and beyond! 🌟🙌 ✌️ Check out our emoji pack here. ⚡️ Boost us in Telegram.

What is the output?
Anonymous voting

CHALLENGE

async function asyncSumOfSquares() {
  const numbers = [1, 2, 3, 4, 5];

  const result = await numbers.reduce(async (acc, num) => {
    const currentSquare = await Promise.resolve(num * num);
    return (await acc) + currentSquare;
  }, Promise.resolve(0));

  console.log(result);
}

asyncSumOfSquares();

Why JavaScript is so hard 😂
Why JavaScript is so hard 😂

What is the output?
Anonymous voting

CHALLENGE

const matrix = [
  [1, 2, 3],
  [4, 5, 6],
  [7, 8, 9],
];

async function asyncSumOfEvenNumbers(matrix) {
  const result = await matrix.flat().filter(async num => {
    return await Promise.resolve(num % 2 === 0);
  });

  return result.reduce((acc, num) => acc + num, 0);
}

asyncSumOfEvenNumbers(matrix).then(result => console.log(result));

🌕 ✌️ I built my own Google (sort of...) with Text Transformers and Qdrant Vector Database Building content search functional
🌕 ✌️ I built my own Google (sort of...) with Text Transformers and Qdrant Vector Database Building content search functionality for Next.js project almost always requires deep understanding of how the text similarity search works. Nowadays we have text transformer AI Models from HuggingFace and Vector Databases that easily could be integrated to Next.js giving the powerful similarity search functionality with a blasting speed! This video below explains this in detail. Tigran Tech

What is the output?
Anonymous voting

CHALLENGE

async function asyncArrayOperations() {
  const array1 = [1, 2, 3];
  const array2 = [4, 5, 6];

  const result = await Promise.all([array1, array2].map(async arr => {
    return await arr.reduce(async (acc, num) => {
      return (await acc) + num;
    }, Promise.resolve(0));
  }));

  console.log(result);
}

asyncArrayOperations();

🌲 Tinybench: A Tiny, Simple Benchmarking Library No dependencies, but uses whatever precise timing capabilities are availabl
🌲 Tinybench: A Tiny, Simple Benchmarking Library No dependencies, but uses whatever precise timing capabilities are available (e.g. process.hrtime or `peformance.now`). You can then benchmark whatever functions you want, specify how long or how many times to benchmark for, and get a variety of stats in return. TINYLIBS

What is the output?
Anonymous voting

CHALLENGE

const matrix = [
  [2, 4],
  [6, 8],
];

const result = matrix.reduceRight((acc, row) => acc.concat(row.map(num => num * 2)), []);

console.log(result);

⛽️ npm in Review: A Retrospective in Numbers From Socket comes a look at the past year from the perspective of the npm regist
⛽️ npm in Review: A Retrospective in Numbers From Socket comes a look at the past year from the perspective of the npm registry, focused largely on statistics (2.5 million live packages!), including download numbers, popular packages, as well as some ‘quirky facts’ like the package with the most maintainers (554, if you're wondering.) PHILIPP BURCKHARDT (SOCKET)

What is the output?
Anonymous voting

CHALLENGE

function* fibonacci() {
  let a = 0, b = 1;
  while (true) {
    yield a;
    [a, b] = [b, a + b];
  }
}

const fibSequence = Array.from({ length: 5 }, () => fibonacci().next().value);

console.log(fibSequence);

✌️ 😂
✌️ 😂

➡️ Survay from Eindhoven University Mentorship is a process in which a more experienced or more knowledgeable person (a mentor) helps to guide a less experienced or less knowledgeable person (a mentee). Relatively little is known about the practice of mentorship within software development contexts. For that reason, we would like to ask you a few questions about what mentorship means to you and what matters most in mentoring relationships. The survey is expected to take 10-15 minutes to complete. Only the researchers involved in this study will see your responses. Your participation in this study is voluntary. You also do not have to answer any question that makes you uncomfortable. Participants must be 18+. For questions or comments about the survey, please reach out to Dr. Reed Milewicz (rmilewi@sandia.gov) or Dr. Alexander Serebrenik (a.serebrenik@tue.nl). Clicking submit indicates that you consent to the use of your survey response data in our study. For every survey completed, we pledge to donate $1 USD to an open-source 501(c)(3) non-profit organization of your choice. Link to the survey: https://snl-survey.sandia.gov/surveys/Telegram-Javascript-Mentorship-Survey