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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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📈 Análisis del canal de Telegram JavaScript

El canal JavaScript (@javascript) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 31 391 suscriptores, ocupando la posición 4 368 en la categoría Tecnologías y Aplicaciones y el puesto 13 234 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 31 391 suscriptores.

Según los últimos datos del 22 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -197, y en las últimas 24 horas de -29, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.70%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.95% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 790 visualizaciones. En el primer día suele acumular 611 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 6.
  • Intereses temáticos: El contenido se centra en temas clave como javascript, console.log(gen.next().value, processdata, remix, acc.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
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

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 23 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

31 391
Suscriptores
-2924 horas
-707 días
-19730 días
Archivo de publicaciones
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