A recent thread on Hacker News sparked debate around a simple but uncomfortable truth: much of what passes for tech blogging today is little more than restating the obvious. The comment, which noted that blogging can be reduced to stating what everyone already knows, resonated with developers and writers alike. It points to a growing fatigue with content that prioritizes volume over insight.

The State of Tech Blogging

Tech blogging once served as a bridge between cutting-edge research and everyday practice. Early pioneers used blogs to share deep technical discoveries, challenge industry assumptions and document hard-won lessons. Over the past decade, however, the incentive structure shifted. Search engine optimization, ad revenue and the relentless demand for fresh content encouraged a race to the bottom. Writers began recycling the same tutorials, top-ten lists and commentary on every minor product update. The result is a landscape where truly original analysis is rare and readers must sift through noise to find signal.

Why This Matters

This trend has tangible consequences. Developers who rely on blogs for learning often encounter shallow explanations that waste time and reinforce misconceptions. Newcomers to the field struggle to distinguish authoritative sources from content farms. For the industry as a whole, the flood of obvious content dilutes trust in technical writing and makes it harder for valuable ideas to gain traction. When every blog says the same thing, readers become skeptical of all of them.

  • Loss of trust: Readers cannot easily separate genuine expertise from repackaged common knowledge.
  • Stunted learning: New developers miss out on nuanced explanations that real-world problems demand.
  • Market distortion: Search algorithms favor frequently updated content, rewarding repetition over originality.
  • Writer burnout: Creators feel pressure to produce quantity, leaving little energy for deeper research.

Market Forces at Play

Economic pressures are a major driver. Many independent blogs rely on page views and affiliate links, which reward high-frequency posting rather than thoughtful analysis. Platforms like Medium and Substack have lowered the barrier to entry but also flooded the field with low-effort posts. Meanwhile, the rise of AI writing tools accelerates the trend. Automated content can churn out plausible summaries of existing knowledge at scale, further devaluing the kind of original thinking that built the tech blogosphere. Readers, in turn, become more cynical and less willing to engage.

What Comes Next

The Hacker News conversation suggests that the community is waking up to this problem. Some bloggers are pivoting to long-form analysis, case studies and personal narratives that cannot be easily automated. Others are experimenting with paid newsletters that reward depth over breadth. The challenge is systemic: until platforms and search engines adjust their algorithms to prioritize originality, the economic incentives will continue to favor the obvious. For now, the burden falls on writers to resist the easy path and on readers to reward work that genuinely advances understanding.