The AI Fatigue: Seeking an 'AI-Excluded' Hacker News
The digital landscape is currently dominated by a landslide of AI-related projects and updates. For many long-time users of Hacker News (HN), this trend has shifted from curiosity to fatigue. The core of this issue is not necessarily a dislike of the AI technology itself, but rather theconsciousness of 'AI slop'—the flood of low-quality, wrapper-based projects that often drown out traditional software engineering and non-AI startups.
Recent community discussions have highlighted a growing desire for a native 'AI-excluded' toggle for 'Show HN' posts. This would allow users to curate their experience and rediscover the diversity of technical projects that once defined the community's feed.
The Struggle for Visibility in an AI Era
One of the most poignant points raised by the community is the impact of AI dominance on non-AI projects. When the trending lists are saturated with LLM updates, traditional software projects struggle to gain any traction.
As one user, @sanjayparekh, noted regarding a recent project launch:
We did a Show HN a few weeks ago (updated from 4 years ago) and have no AI, LLM, or anything and got... zero traction. We're on ProductHunt today but everything that is trending is all AI stuff.
This suggests a systemic shift in user attention. The current appetite for AI content is so high that projects focusing on core infrastructure, utility tools, or traditional web development are being sidelined, creating a visibility gap for developers who are not building in the AI space.
Current Mitigation Strategies
While a native filter does not yet exist on the main Hacker News site, the community has proposed several workarounds to avoid AI-saturated feeds:
Third-Party Clients and Filters
Several users have pointed to third-party tools that allow for more granular control over the feed. For instance, the Hacki app allows users to ban specific keywords from their feed using Algolia filters in the background. Other community-developed projects, like histre.com, offer tagged views that allow users to exclude AI-related content (e.g., using tags like +all-ai).
Algolia Search as a Filter
For those who prefer not to use third-party apps, leveraging the Algolia-powered search for HN is a viable alternative. By searching for specific categories or focusing on stories about startups that are not AI-centric, users can manually thin out the AI noise.
The Balance Between Innovation and Noise
There is a a debate regarding where the line should be drawn. Some argue that AI is now a fundamental part of the software development lifecycle and that excluding it entirely may be counterproductive.
User @verdverm suggests that the current HN rules—which limit AI-generated content in comments—are a fair balance. They argue that while AI-generated discussion is low-value, the projects themselves may still be useful regardless of how they were built:
I think this is a fair balance as more actually useful projects shared here are built with increasingly more ai. Comments and discussion is one thing, projects another, with the later falling into a realm where I'm more concerned with the quality than how it is arrived at.
Conclusion
The tension between the desire for a detailed technical discourse and the flood of AI hype is a a reflection of the current state of the industry. Whether through native filters or third-party tools, the community's drive to find 'AI-free' spaces is a clear signal that there is a significant appetite for traditional software engineering and non-AI innovation.