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Jae McKinney • 3rd+

LOWLow Relevancepost scraper

Jae McKinney • 3rd+

13
Rank

AI Scores

Clinic
5
Partner
5
Density
42
Recency
0
Intent
41

Intent Pattern

i
One-timetrajectory
1 signals
1 high-intent notes
1 sources
49d since last

Intent signals:

workflow

Pipeline

Current: New

Campaigns

No active campaigns

Cold Email

Activity Timeline

●
Intent signalApr 28, 2026
https://www.linkedin.com/feed/update/urn:li:activity:7446872591761563648

“Strong point, but this needs nuance.The two statements are not contradictory. They reflect different risk thresholds.→ Consumer AI can assist. It is not built for clinical accountability→ Regulated devices solve for validation. LLMs solve for accessibilityBoth can be true at the same time.→ The real gap is positioning, not capability→ Users treat general AI like medical-grade toolsThat is where risk emerges. Expectation mismatch.The opportunity is hybrid models. AI support with clinician oversightCurious how you see LLMs fitting into regulated workflows without slowing innovation”

★
Discoveredpost_scraperApr 13, 2026

AI Analysis

Person has minimal profile data - no title, location, organization, or industry information. Only engagement is a single post interaction. Without any healthcare/health IT signals or target market location data, this represents very low relevance for ZAVIS.