Browser extension that flags copy-pasted and AI-generated LinkedIn posts
Problem
LinkedIn feeds are flooded with copy-pasted engagement bait and AI-generated posts from influencers and HR accounts, making the platform increasingly unusable for professionals who are there for real content. Users have no way to tell recycled or synthetic posts from genuine ones while scrolling.
Opportunity
A browser extension that analyses posts in the feed and badges likely copy-pasted or AI-generated content (similarity detection plus AI-text signals), letting users filter the noise the way ad-blockers filter ads.
Market analysis
Already built, multiple times: at least three Chrome extensions (LinkedIn AI Content Detector, LinkedIn AI Detector, plus open-source projects like LinkedLens and linked-ai-detector) detect and hide AI-written posts, some with local heuristics and some LLM-powered. Demand is real and growing, but the space is crowded with free tools, accuracy is fundamentally limited, and LinkedIn itself may ship native filtering.
Market · Professionals fatigued by AI-slop LinkedIn feeds; strong sentiment-driven demand, evidenced by the number of independent projects that already shipped.
Pricing · Free extensions today; comparable AI-detector tools (Grammarly's checker) are free loss-leaders. Willingness to pay is near zero — the audience wants the problem gone, not a subscription.
Pros
- + Genuine, fast-growing frustration with clear word-of-mouth potential.
- + Local heuristic detection works out of the box with no API costs.
- + Copy-paste similarity detection is a differentiator most existing detectors skip.
Cons
- − Several free extensions and open-source projects already exist.
- − AI-text detection is unreliable and adversarial; false positives on real users breed backlash.
- − High-churn utility: once the feed is clean, the extension feels unnecessary.
- − Platform risk: LinkedIn shipping native AI labels or feed controls wipes out the category.
Existing / similar tools
Source
r/SomebodyMakeThis (Reddit)
This is a want, not a market: the evidence is that multiple people already built it for free, which proves demand and disproves profitability in the same stroke. The deeper problem is epistemic, not technical — AI-text detection is an adversarial arms race the detectors are losing, so a badge claiming “AI-generated” will be wrong often enough to become its own credibility slop, and false accusations on a professional network carry real reputational stakes for the person flagged. The one defensible niche is the copy-paste/duplicate angle the Reddit poster actually led with: near-exact repost detection via content hashing is reliable in a way LLM sniffing never will be, and “hide recycled engagement bait” is a promise a tool can keep.