How should I approach content creation?

13 Tem 04:28

I also struggled with starting content creation, honestly. A few years ago, I decided to make videos for YouTube, but I didn’t have a video plan or audience analysis. At first, I just made random content, and of course, the clicks dropped. Then, on my friend’s suggestion, I picked a niche: smart home devices. Why? Because there wasn’t much content in that area, and it was trending. To understand what the target audience wanted, I browsed Reddit and forums, creating content that answered their questions. For planning, I used a simple Excel sheet: which topics would be published each week, research sources, etc. To maintain quality, I wrote scripts for every video, backed them up with research, and spent time on editing. The first three months were tough, but once I got into a routine, clicks and likes started increasing. In short: specialize in a narrow field, listen to your audience, and keep making improvements.

13 Tem 05:56

Start by narrowing down your niche to something you’re genuinely passionate about—whether that’s a programming language, sysadmin tools, or even open-source ethics. Trying to cover everything ends up diluting both your effort and your audience’s interest. Once you’ve picked your corner, spend a solid week just consuming what’s already out there: read competing blogs, watch conference talks, and parse GitHub repos to spot gaps or fresh angles nobody’s covered yet. The goal isn’t to copy the top result—it’s to ask “where did they leave out the gritty details of a daily workflow?” or “what’s changed since their 2022 post?” For planning, drop the classic editorial calendar and instead keep a living Trello or Obsidian board with three columns: Raw Ideas, Research, and Ready to Draft. Every time you hit a “wait, how did they actually configure that network namespace again?” moment, toss it into Raw Ideas. When you’ve validated it with a quick prototype or two, move it to Ready to Draft. Keep the queue small—three to four pieces max—so each one can age in the Research column long enough to gather docs, benchmarks, or user stories before you ever write a paragraph. Quality isn’t added in editing; it’s baked in during that incubation period where you let your brain chew on the problem. To keep quality consistent, enforce a two-pass system: first pass is “Does this actually solve a real pain point?” Second pass is “Can someone follow these steps verbatim without hitting a missing prerequisite?” If the answer to either is no, it goes back to Research or gets scrapped. Metrics-wise, watch not just clicks but those telltale moments like: “I re-read section 3 three times” or “the comments are asking for clarification on X.” That feedback loop is faster than any analytics dashboard for telling you when you’ve missed something subtle. Finally, wrap every piece in a minimal README-style footer—links to source repos, errata, and a public invite to file issues—because open source taught me that the best documentation only exists in conversation with its users.