Programmer ♨️

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🔵 Freelancing articles, tips, and trick optimizing your workflow for better efficiency and higher earnings. Buy Ads: @strategy

EEUU83 Carrera profesional72...

📈 Análisis del canal de Telegram Programmer ♨️

El canal Programmer ♨️ (@programmer) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 188 235 suscriptores, ocupando la posición 72 en la categoría Carrera profesional y el puesto 83 en la región EEUU.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 188 235 suscriptores.

Según los últimos datos del 29 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -5 112, y en las últimas 24 horas de -162, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.55%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.53% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 2 917 visualizaciones. En el primer día suele acumular 1 005 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 8.
Intereses temáticos: El contenido se centra en temas clave como v3v, freelance, vacancy, engineer, professional.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“🔵 Freelancing articles, tips, and trick optimizing your workflow for better efficiency and higher earnings. Buy Ads: @strategy”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 30 agosto, 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 Carrera profesional.

188 235

Suscriptores

-16224 horas

-1 0927 días

-5 11230 días

2 917

Visitas de la publicación

~ 1 00524 horas

~ 1 47248 horas

1.55%

Tasa de compromiso

~ 1

Mensajes por día

Ads index

beta

Archivo de publicaciones

188 163

💼 Enhance your linkedIn profile in 2024: A @freelance guide 🌐 Are you leveraging your LinkedIn to its full potential? Here's how to make your profile stand out in 2024: 1️⃣ Perfect profile picture: Choose a photo that's professional and approachable. 2️⃣ Impactful background image: Use a background image that narrates your professional story. 3️⃣ Dynamic headline: Be more than your job title. Showcase your expertise and passion. 4️⃣ Engaging summary: Share your journey and mission, beyond just skills and roles. 5️⃣ Buzzword cleanup: Stand out by showing your skills, not just using trendy words. 6️⃣ Skill showcase & endorsements: Keep your skillset updated and endorsed. 7️⃣ Power of recommendations: Seek personal testimonials for credibility. 8️⃣ Learning and development: Display relevant courses and certificates. 9️⃣ Content engagement: Share and comment on industry-related insights. 1️⃣0️⃣ Build your network: Regularly connect with industry peers and mentors. Your LinkedIn profile is your digital handshake. Make it count! 😉 📌This channel is owned by V3V Venture

188 163

Lol 😜 📌This channel is owned by V3V Venture

188 163

💫 Not only NVIDIA: GPU programming that works everywhere If you want to run GPU programs in CI, on Mac, etc., wgu-py is a great option. Source 📌This channel is owned by V3V Venture

188 163

⚡️ Streamline Analyst: A Data Analysis AI Agent Streamline-Analyst AI agent based on LLM, which optimizes the entire data analysis process. Source 📌This channel is owned by V3V Venture

188 163

⚡️ Training Neural Networks From Scratch with Parallel Low-Rank Adapters Pre-learning from scratch with LoRA on multiple GPUs. Article: https://arxiv.org/abs/2402.16828 Project: https://minyoungg.github.io/LTE/ 📌This channel is owned by V3V Venture

188 163

Moon dream 2 has been released! MD2 is a miniature, fast and open source 1.8B parameter vision language model that requires less than 5 GB of memory to run. ▪Project: https://moondream.ai ▪Code: https://github.com/vikhyat/moondream ▪Demo: https://huggingface.co/spaces/vikhyatk/moondream2 📌This channel is owned by V3V Venture

188 163

The game engine is working, but there is one nuance 🐕 📌This channel is owned by V3V Venture

188 163

Ceiling is being raised. cursor's copilot helped us write "superhuman code" for a critical feature. We can read this code, but VERY few engineers out there could write it from scratch. ⌨️ Via Jrysana 📌This channel is owned by V3V Venture

188 163

⌨️ Advances in private training for production on-device language models Language models that predict the next word are a key technology for many AI applications. Learn how years of research became the basis for training Google's language models ⌨️ Source 📌This channel is owned by V3V Venture

188 163

My two different styles of writing code 📌This channel is owned by V3V Venture

188 163

Python packages caught using DLL sideloading to bypass security Full article ⌨️ 📌This channel is owned by V3V Ventures

188 163

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