HNFilter: Dedicated Non-AI Content Filter Browser Extension for Hacker News
The Hacker News front page is dominated by AI-related news and commercial hype, crowding out broader technical, hardware, and programming discussions, and making it difficult for users to discover non-AI topics of interest.
Is the problem real?
The Hacker News front page is dominated by AI-related news and commercial hype, crowding out broader technical, hardware, and programming discussions, and making it difficult for users to discover non-AI topics of interest.
EVIDENCE
Ask HN: Can we please limit the AI news flood?
Every time someone at OpenAI or Anthropic farts, there's top 10 post.
commentThank you for posting this <3. I've been thinking it daily for about a year and feel a little bit less alone. I understand this is a significant topic in the industry but the ratio is really high. Every time someone at OpenAI or Anthropic farts, there's top 10 post. It makes me feel as if a lot of hackers had given up on actual hacking to just be followers of the latest commercial stuff thrown on the market. It's likely a projection of my own fears, but I have not been able to shake it off and it's gotten worse and worse.
Who feels this pain?
TARGET USERS
Engineers and technical readers who want to browse curated hacker news, hardware projects, and core programming discussions without commercial AI clutter.
Context
Current Workarounds
Where's the gap?
EXISTING SOLUTION GAPS
OPPORTUNITY & VALUE
Multiple users explicitly reported that the HN front page is unusable due to AI saturation, with widespread discussion of manual DOM filtering and custom proxies.
Purpose-built, lightweight browser extension specifically targeting the HN community rather than bloated full-page scraper apps or complex user-script setup.
A lightweight browser extension that automatically detects, filters, and hides AI-related keywords, domains, and submissions from the Hacker News front page while providing customizable filtering rules.
How does it make money?
MONETIZATION
Model
Users are already investing time building custom proxies, user scripts, and local SQL databases to solve this; a polished, reliable tool is worth a small one-time fee to save setup time.
How do you ship it?
MVP PLAN
“Clean, AI-free Hacker News browsing in 6 weeks.”
A lightweight browser extension that automatically detects, filters, and hides AI-related keywords, domains, and submissions from the Hacker News front page while providing customizable filtering rules.
Core Features
Weekly Roadmap
- •Initialize browser extension project manifest v3
- •Build DOM observer script to scan story titles
- •Implement basic blacklist keyword matching
- •Develop popup UI for options and toggles
- •Store user preferences in browser sync storage
- •Add domain-level filtering capabilities
- •Implement lightweight payment check for pro features
- •Conduct internal QA across desktop browsers
- •Onboard 10 beta testers from Hacker News
- •Publish extension to Chrome Web Store and Firefox Add-ons
- •Draft and publish Show HN launch post
- •Monitor bug reports and initial user feedback
Launch directly on Hacker News (Show HN) and relevant subreddits like r/programming and r/webdev.
RISKS & ASSUMPTIONS
Top Risks
Changes to the HTML structure of Hacker News could break the extension's DOM filtering logic.
HN users expect community tools to be free and open source, making monetization challenging.
Users will demand highly granular, customizable AI sub-topics that complicate the core engine.
Should you build it?
Run an Investment Memo to get a structured Go / No-Go verdict, competitor landscape, unit economics, and a 90-day validation roadmap for this opportunity.
Generate an investment memoWhat this score means
This idea scores in the upper-middle range of opportunities surfaced by MonetScope, with a validation sub-score of 9/10 against 2 independently sourced evidence signals. A "promising" rating usually indicates a real pain has been detected and discussed in the open, but the pipeline did not find enough signal to flag it as urgent or high-frequency. These opportunities can still produce excellent businesses — they often correspond to "boring" problems that established players have ignored — but the founder should expect a longer customer-development cycle to confirm willingness to pay.
Why this matters for Other founders
It sits at the intersection of "automation", "browser-extension", "developers", which makes it relevant to a specific subset of founders rather than a generic horizontal opportunity. Opportunities in this category typically reward founders who can describe the pain in the user's own language — both because that's the basis of effective marketing, and because it's the strongest signal that the founder has done the upfront listening. The MonetScope pipeline surfaces this category alongside other other signals, which is why it appears here rather than in a generic "trending ideas" feed.
Scores are derived from real forum discussions across Reddit, Hacker News and X, weighted by evidence volume and signal quality. How scoring works
Frequently asked questions
Is "HNFilter: Dedicated Non-AI Content Filter Browser Extension for Hacker News" a real validated startup idea or just an AI-generated suggestion?
MonetScope does not generate ideas from a language model's imagination. Every opportunity on this site is anchored to specific source posts and comments from real public discussions — typically on Reddit, Hacker News, or X — where actual users describe the pain in their own words. The AI's role is structuring, scoring, and grouping those signals into a navigable opportunity, not inventing the problem.
How recent is the underlying data for automation?
MonetScope's spider pipeline runs continuously and surfaces opportunities as new evidence accumulates. The "Updated" date in the header reflects the most recent re-scoring of this specific opportunity. Most other opportunities visible in the public catalog draw from discussions in the last 30-60 days; older signals are de-prioritized because user pain shifts faster than most founders assume.
What's the difference between "overall score" and "validation score"?
Overall score is a composite across six dimensions — pain, urgency, willingness to pay, market size, defensibility, and execution ease — designed to give a single number for triage. Validation score is narrower: it asks "how cleanly does the same signal repeat across independent sources?" An opportunity can score high on overall but lower on validation when one or two large discussions dominate the evidence; conversely, validation can be high on a smaller-overall idea where the signal is consistent but the addressable market is modest.