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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 31 091 suscriptores, ocupando la posición 4 201 en la categoría Tecnologías y Aplicaciones y el puesto 12 867 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 31 091 suscriptores.

Según los últimos datos del 30 septiembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -173, y en las últimas 24 horas de -4, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.91%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.07% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 838 visualizaciones. En el primer día suele acumular 644 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 4.
  • 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 01 octubre, 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.

31 091
Suscriptores
-424 horas
-547 días
-17330 días
Archivo de publicaciones
❓ CHALLENGE #146
❓ CHALLENGE #146

❓ CHALLENGE #150
❓ CHALLENGE #150

Wireless 😅
Wireless 😅

What is the output of the above code?
Anonymous voting

❓ CHALLENGE #145
❓ CHALLENGE #145

What is the output?
Anonymous voting

CHALLENGE #140
CHALLENGE #140

⚡️ Big projects are ditching TypeScript… why? 🗣️ Send this to the person you think loves TypeScript!
⚡️ Big projects are ditching TypeScript… why? 🗣️ Send this to the person you think loves TypeScript!

What is the output?
Anonymous voting

CHALLENGE #143
CHALLENGE #143

📌 Issue 30 / 29.09.2023 📄 The Saga of Google's Closure Compiler Dan looks back at Google’s Closure Compiler, a JavaScript t
📌 Issue 30 / 29.09.2023 📄 The Saga of Google's Closure Compiler Dan looks back at Google’s Closure Compiler, a JavaScript transpiler Google built in 2004 and used most heavily in the pre-TypeScript era to reduce the size of JavaScript files, check types, and otherwise handle common pitfalls. A neat bit of JavaScript history. DAN VANDERKAM 📄 One Thing Nobody Explained To You About TypeScript The author makes a strong case for creating a separate tsconfig.json for each environment your code runs in: “Today, I write about one thing about configuring TypeScript that took me years to realize. I’m sure you’re making the same mistake as I did.” ARTEM ZAKHARCHENKO 📄 Tesseract.js 5.0: JavaScript OCR for 100+ Languages A port of the C++-based Tesseract library used to extract text from images. v5.0 is a big deal as there are huge file size reductions resulting in a 50% decrease in runtime size, a similar reduction in memory use, and iOS 17 compatiblity. TESSERACT TEAM ©️JS WEEKLY

Which snippet could you add to this code to print "food" to the console?
Anonymous voting

❓ CHALLENGE #143
❓ CHALLENGE #143

➡️ A little JavaScript AI-side.. AI, LLMs and machine learning have caught the imagination of many developers recently, whether through training and deploying models, calling out to third party APIs (like those OpenAI offers), or using tools like GitHub Copilot to write code. It's common, however, for a lot of AI/LLM experimentation to take place in Python, rather than JavaScript.. Nonetheless, there's an increasing number of projects in the JavaScript AI/ML space worth keeping an eye on, as well as an upcoming AI developer event being organized by two folks from the JavaScript space: - Transformers.js: State-of-the-Art Machine Learning for the Web - Microsoft TypeChat: An Approach for Type-Safe LLM Responses - WebLLM: Run LLM Models in the Browser with WebGPU - TensorFlow.js: Machine Learning for JavaScript Developers 🗣️ Send this to the person who you think is the best at AI and ML!

Which statement correctly imports this code from `some-file.js`?
Anonymous voting

❓ CHALLENGE #142
❓ CHALLENGE #142

📌 Issue 39 / 27.09.2023 📄Speeding up the JavaScript Ecosystem: Polyfills Gone Rogue? Marvin has been on a mission to speed
📌 Issue 39 / 27.09.2023 📄Speeding up the JavaScript Ecosystem: Polyfills Gone Rogue? Marvin has been on a mission to speed up popular libraries – first blogging about speeding up the JS ecosystem, one library at a time last year. MARVIN HAGEMEISTER 📄 GitHub Actions Could Be So Much Better GitHub Actions provides a fantastic and useful service, but the developer experience leaves a lot to be desired, particularly when debugging them. If you’ve been frustrated with figuring out Action and setting up your own workflows, you’ll find a lot to nod along to here. WILLIAM WOODRUFF ©️NODE.JS WEEKLY

Which statement prints "roar" to the console?
Anonymous voting