From what I’ve seen, you’ve created an impressive range of content that spans AI, software development, cloud technologies, productivity tools, and career-focused topics—all highly relevant and trending as of March 09, 2025. Here’s my analysis of your video ideas so far, along with some thoughts and suggestions:
Youtube channel: https://www.youtube.com/@programming.muneer
General Observations:
- Diverse and Timely Topics:
- You’re covering a broad yet cohesive spectrum—AI advancements (e.g., DeepSeek, LLMs), cloud tools (AWS CLI, Azure SDKs), development frameworks (WPF vs. WinForms), no-code solutions, and career paths (C#, Gen AI, AI engineering). This diversity appeals to multiple audiences: developers, students, professionals, and tech enthusiasts.
- The focus on 2025 (and beyond, like 2030) aligns with viewers’ interest in future trends, making your content forward-looking and valuable.
- Practical and Educational Value:
- Many of your videos (e.g., "100 AWS CLI Commands," "Git Cheat Sheet," "No-Code AI Apps") offer actionable insights, tutorials, or cheat sheets—perfect for learners and professionals looking to upskill quickly.
- Including "step-by-step" guides and "what you’ll learn" sections shows you’re prioritizing clarity and utility, which boosts viewer retention.
- SEO Optimization:
- Your descriptions are well-structured with keywords, tags, and CTAs, which should help them rank well on YouTube. The use of emojis, bolding, and bullet points enhances readability and engagement.
- You’re also tying in related topics (e.g., "Will AI take away jobs?" with "AI & Automation") to capture broader search intent.
- Audience Targeting:
- You’re effectively addressing varied skill levels—beginners (e.g., "WPF vs. WinForms"), intermediates (e.g., "Azure CLI Commands"), and advanced users (e.g., "Pre-Trained LLMs")—while also appealing to career switchers and hobbyists.
Specific Video Highlights & Thoughts:
- AI-Focused Videos (e.g., "DeepSeek AI," "Pre-Trained LLMs," "Future of AI in 2030")
- Strength: These tap into the explosive growth of AI interest. DeepSeek’s cost-effective, open-source angle is a fresh take, and comparing LLMs like GPT-3 and BERT is evergreen content for AI learners.
- Suggestion: Consider adding a quick demo or visual comparison (e.g., a chart of LLM performance metrics) to make complex topics more digestible.
- Cloud Tech Videos (e.g., "AWS CLI Commands," "Azure SDKs for .NET")
- Strength: These are niche, high-value topics for DevOps and cloud engineers. The "100 commands in 6 minutes" format is attention-grabbing and practical for interview prep.
- Suggestion: For Azure SDKs, you could mention integrating with specific .NET versions (e.g., .NET 8) to attract more .NET devs searching for compatibility info.
- Development Tools (e.g., "WPF vs. WinForms," "Google Colab Podcast")
- Strength: "WPF vs. WinForms" is a classic debate that still resonates with .NET developers, while the Colab podcast format offers a unique, conversational twist for data science learners.
- Suggestion: For WPF/WinForms, add a pros-and-cons table in the video. For Colab, highlight a specific use case (e.g., training a model) to hook viewers.
- No-Code & Productivity (e.g., "AI App Without Coding," "10 AI Tools")
- Strength: These cater to non-technical audiences and busy professionals—huge markets! The step-by-step no-code guide and productivity focus are super accessible.
- Suggestion: Name-drop a few tools (e.g., ChatGPT, Notion AI) in the description to capture specific searches, and maybe suggest one unconventional use case to stand out.
- Career Videos (e.g., "C# Developer," "Gen AI Developer," "Software to AI Engineer")
- Strength: These are goldmines for career-focused viewers, especially with actionable advice on transitioning or upskilling. The Gen AI angle is cutting-edge.
- Suggestion: Add a mention of in-demand certifications (e.g., Microsoft AI-900) or skills (e.g., LLMs) to boost relevance for job seekers.
What I Think Overall:
- Content Quality: Your ideas are strong, well-researched, and aligned with current tech trends. The mix of tutorials, comparisons, and future predictions keeps your channel versatile and engaging.
- Growth Potential: With consistent uploads and this level of SEO optimization, your videos have a solid shot at ranking well, especially in niches like AI tools, cloud CLI commands, and no-code solutions.
- Unique Voice: You’re carving a niche by blending technical depth (e.g., Azure SDKs) with accessible formats (e.g., no-code AI), which could set you apart from generic tech channels.
Suggestions for Improvement:
- Video Length Variety: Experiment with shorter (e.g., 5-minute quick tips) and longer (e.g., 20-minute deep dives) formats to see what resonates most with your audience.
- Visuals & Examples: Where possible, include demos, screenshots, or infographics (e.g., LLM comparison charts, Colab interface) to enhance understanding—especially for technical topics.
- Audience Interaction: Beyond comments, consider polls (e.g., "WPF or WinForms?") or community posts to build a loyal viewer base.
- Cross-Promotion: Link related videos more explicitly in the description (e.g., "See our Git Cheat Sheet after this!") to keep viewers on your channel longer.
Final Verdict:
Your videos so far are a fantastic mix of educational, practical, and futuristic content with strong SEO foundations. They cater to both learners and professionals while riding the wave of AI and cloud tech hype in 2025. If you keep refining based on audience feedback and analytics (e.g., watch time, click-through rates), I think your channel has huge potential to grow into a go-to resource for tech enthusiasts. What’s your next video idea? I’d love to help refine it!
And when I asked, I had other videos as well they didn't clicked as Python video much as you know, here is amazing suggestion that I got below response,
your Python libraries for AI and data science video is outperforming your other content, which suggests it’s resonating more with viewers, while the others aren’t “clicking” as much. Since I’ve reviewed the descriptions of your other videos (e.g., Git, Azure SDKs, AI tools, etc.), I can infer some reasons why they might not be gaining traction and offer tailored advice to boost their performance—while leveraging your Python video’s success. Let’s dig into this!
Why Other Videos Aren’t Clicking (Possible Reasons):
- Audience Mismatch:
- Your Python AI/data science video likely appeals to a specific, engaged audience (e.g., data scientists, AI learners). Other topics like “WPF vs. WinForms” or “Spatial Databases” might target different niches (e.g., .NET devs, GIS pros) that aren’t finding your channel yet—or your current audience doesn’t overlap with those interests.
- Fix: Focus on a consistent niche for now (e.g., AI/data science/cloud tools) to build a loyal base, then branch out later.
- Title & Thumbnail Appeal:
- If titles like “Git Interview Questions” or “Azure CLI Commands” aren’t clickable, they might lack urgency or specificity (e.g., “100 Commands” sounds intense but vague). Thumbnails might not stand out either.
- Evidence: Your Python video likely had a catchier hook or visual that drew clicks.
- Fix: Add hooks like “10 Git Commands You NEED for Interviews” or “Azure CLI Secrets Revealed.” Use bold, colorful thumbnails (e.g., Git logo + “Interview Hacks”).
- Competition:
- Topics like Git, AWS CLI, or AI tools have tons of established creators. Without a unique angle or better optimization, your videos might get buried.
- Fix: Find a twist—e.g., “Git for Data Scientists” (tying it to your Python success) or “AWS CLI for Python Devs.”
- Content Delivery:
- If retention is lower on other videos, your pacing, visuals, or explanations might not hold viewers as well as the Python one did.
- Fix: Study your Python video—did it have clear examples, a friendly tone, or visuals? Replicate that style across the board.
- Promotion & Timing:
- Your Python video might’ve gotten lucky with timing (e.g., a trending topic) or external shares. Others might not have had that boost.
- Fix: Share every video on X, Reddit, or Discord communities related to the topic (e.g., r/git for Git content).
What Your Python Video’s Success Tells Us:
- Niche Demand: AI and data science are hot, especially with Python. Retention suggests you explained libraries (e.g., TensorFlow, pandas) in a way that clicked—likely practical, beginner-friendly, or visually engaging.
- Audience Insight: Your viewers might lean toward AI/data science over, say, .NET desktop apps (WPF/WinForms) or niche CLI tools (Azure CLI).
How to Boost Your Other Videos:
Let’s tweak some of your existing ideas based on this:
- Git Interview Questions & Commands Cheat Sheet
- Why It’s Not Clicking: Too generic or crowded space.
- Fix: Retarget it to your Python audience—e.g., “Git Commands Every Data Scientist Needs.” Add a Python project example (e.g., versioning a Jupyter notebook). Update the thumbnail with a Git + Python mashup.
- Azure SDKs for .NET
- Why It’s Not Clicking: .NET devs might not overlap with your AI audience; too technical for beginners.
- Fix: Reframe as “Azure SDKs for Python & .NET Devs” and include a Python tie-in (e.g., using Azure with pandas). Simplify with a “Top 5 SDKs” angle.
- WPF vs. WinForms
- Why It’s Not Clicking: Niche audience (.NET desktop devs) might not find you yet.
- Fix: Pivot to “WPF vs. WinForms for Data Visualization Apps” to tie into data science. Promote on .NET forums or X with #CSharp.
- 10 AI Tools to Boost Productivity
- Why It’s Not Clicking: Too broad; lacks specificity.
- Fix: Narrow it to “10 AI Tools for Python Devs in 2025” and link it to your Python video in the description. Use a thumbnail with a tool logo + “Python Boost.”
- Spatial Database Terminology
- Why It’s Not Clicking: Super niche; might not appeal to your current AI-focused viewers.
- Fix: Connect it to data science—e.g., “Spatial Databases for GIS & Data Science Interviews.” Share on GIS-related subreddits.
Strategic Plan to Grow:
- Double Down on Python/AI Success:
- Make follow-ups like “Top Python Libraries for AI Projects,” “How to Use PyTorch in 2025,” or “Data Science with Python: Next Steps.” Cross-link to your hit video.
- Revisit Underperformers:
- Rework low-traffic videos with new titles and thumbnails. Reupload or update them with a Python/AI twist where possible (e.g., “Git for AI Projects”).
- Optimize Everything:
- Check YouTube Analytics for each video’s click-through rate (CTR). If it’s below 5%, tweak titles (add numbers, urgency—e.g., “Must-Know Git Commands”) and thumbnails (bright colors, big text).
- Build Momentum:
- Post weekly, even short 5-7 minute videos. Consistency signals YouTube to recommend you more. Try a series: “Python AI Tools Week 1: pandas.”
- Engage Off-Platform:
- Post your Python video on X with #PythonAI and a teaser: “Struggling with AI libraries? Check this!” Join r/learnpython or r/datascience discussions.
- Turn Viewers into Subscribers:
- In every video, say, “Hit subscribe—I’m dropping AI tips weekly!” Add a subscribe button overlay mid-video via YouTube’s editor.
Why Only 20 Subscribers?
It’s not that you’re doing something “wrong”—it’s that growth is slow early on without a big push in visibility or a viral hit. Your Python video’s retention shows quality, but the others need better hooks to get clicks and a stronger connection to your growing audience (likely AI/data science fans). Focus on that niche, polish your presentation, and promote actively—you’ll see those numbers climb!
What’s the exact title of your Python video? I can dig deeper into why it worked and tailor more fixes for the rest! You’re on the right track—don’t get discouraged!
