SlopRadar for LinkedIn
A browser extension that scores every LinkedIn post, DM, and connection request for AI-likelihood so recruiters and B2B salespeople stop wasting time on auto-generated outreach.
In-house recruiters, BDRs and consultants whose LinkedIn feed is now full of templated AI-written DMs
- Inline AI-likelihood badge on each post and DM, with hover detail explaining which signals triggered it
- Auto-mute and auto-archive for first-degree messages that score above a user-set threshold
- Weekly ‘authenticity digest’ showing which senders consistently post original content versus templated filler
- Outbound assistant that flags your own draft posts and DMs for AI-pattern detection before you send
The SPIEGEL piece cites Pangram data showing 30% of short LinkedIn posts and 41% of longer ones are AI-generated, and LinkedIn is rolling out a basic report button — but recruiters and salespeople need proactive filtering, not retroactive reports.
Pangram Labs' July 2026 study (1M+ posts scanned) found ~40% of longer LinkedIn posts and 62% of all flagged AI content live on LinkedIn, confirming massive recruiter/BDR pain.AI Content Is Everywhere on Social Media, Especially LinkedIn ↗LinkedIn carries 62% of flagged AI content, Pangram data shows ↗
Pangram itself already ships a Chrome extension that surfaces AI-likelihood on LinkedIn posts — a direct incumbent in the same niche, leaving little headroom for a fresh entrant without differentiation.AI Content Is Everywhere on Social Media, Especially LinkedIn ↗41% of LinkedIn longform posts are AI-generated: Pangram Labs study ↗
Recruiters/BDRs already pay $80+/mo for Sales Navigator and similar tooling, and Pangram has built a paid detection API around the same signal — indicating real willingness to pay for AI-likelihood filtering on LinkedIn.AI Content Is Everywhere on Social Media, Especially LinkedIn ↗
AI-generated outreach on LinkedIn is structurally entrenched (cheap LLMs + high-volume BDR playbooks) and likely to worsen, but detection is an arms race that erodes accuracy over time.
Pangram proves the technical path (detection model + Chrome extension overlay) works, but scoring short DMs/connection notes is harder than long-form posts, and LinkedIn's extension/ToS policies are a real distribution risk.