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Programmer ♨️

Programmer ♨️

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

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📈 Analytical overview of Telegram channel Programmer ♨️

Channel Programmer ♨️ (@programmer) in the English language segment is an active participant. Currently, the community unites 188 235 subscribers, ranking 72 in the Career category and 83 in the USA region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 188 235 subscribers.

According to the latest data from 29 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -5 112 over the last 30 days and by -162 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.55%. Within the first 24 hours after publication, content typically collects 0.53% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 917 views. Within the first day, a publication typically gains 1 005 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 8.
  • Thematic interests: Content is focused on key topics such as v3v, freelance, vacancy, engineer, professional.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
🔵 Freelancing articles, tips, and trick optimizing your workflow for better efficiency and higher earnings. Buy Ads: @strategy

Thanks to the high frequency of updates (latest data received on 30 August, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Career category.

188 235
Subscribers
-16224 hours
-1 0927 days
-5 11230 days
Posts Archive
💼 Enhance your linkedIn profile in 2024: A @freelance guide 🌐 Are you leveraging your LinkedIn to its full potential? Here'
💼 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

Lol 😜 📌This channel is owned by V3V Venture
Lol 😜 📌This channel is owned by V3V Venture

💫 Not only NVIDIA: GPU programming that works everywhere If you want to run GPU programs in CI, on Mac, etc., wgu-py is a gr
💫 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

⚡️ Streamline Analyst: A Data Analysis AI Agent Streamline-Analyst AI agent based on LLM, which optimizes the entire data ana
⚡️ 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

⚡️ Training Neural Networks From Scratch with Parallel Low-Rank Adapters Pre-learning from scratch with LoRA on multiple GPUs
⚡️ 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

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.aiCode: https://github.com/vikhyat/moondreamDemo: https://huggingface.co/spaces/vikhyatk/moondream2 📌This channel is owned by V3V Venture

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

Ceiling is being raised. cursor's copilot helped us write "superhuman code" for a critical feature. We can read this code, bu
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

⌨️ 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

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

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

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