971 LinkedIn practitioners, founders, and revenue operators engaged with Richard van der Blom’s feed across 30 posts in the last 30 days — the people who study his algorithm analysis and show up for it, with names, titles, and engagement depth.
Real names. Real titles. Click any card to open their LinkedIn profile. Search by name, title, or company — filter by reaction type. This is the audience that reads algorithm analysis for a living: coaches, ghostwriters, consultants, founders, and revenue leaders.
These engagers showed up across 2+ posts in the window — a 30-day snapshot of a creator’s feed. They’re not casual scrollers: they’re the practitioners who track Richard’s algorithm work closely, with 109 of them at 3+ posts. Highest-trust relationships in the dataset — and the people most likely to act on his recommendations.
Only 22% of Richard’s engagers carry an employer in their headline — this is a practitioner economy, not a corporate roster. When an employer does appear, it’s usually the engager’s own consultancy, a training firm, or a known brand employing one of the people studying his algorithm data.
When a VP or founder from a named company engages Richard’s feed, that’s an account-level signal worth knowing — even when it’s one person. Ranked by seniority, repeat engagement, and engager count.
Do people engage with Richard’s data teardowns, or with his human moments? The two pull different crowds — here’s who shows up for each.
25 of 30 posts are algorithm analysis, how-tos, or social-selling playbooks — the content that makes people follow and stay. The personal posts are fewer but spike: “Sad day for LinkedIn humanity. This is what my first 10 posts looked l…” (1748 likes) and the grief post (826 likes) pulled the two biggest single-post numbers of the window.
Blue = analysis / how-to · Purple = personal / story. Analysis posts pulled 4,925 likes — personal posts pulled 3,315 from a fraction of the posts.
Richard van der Blom built his following teaching people how LinkedIn actually works — algorithm mechanics, reach, and the content patterns that win. His feed pulls the exact crowd that buys LinkedIn education, tooling, and ghostwriting: coaches, social sellers, consultants, founders, and the revenue leaders who hire them. Here’s how his 971 engagers break down.
Only 22% of engagers list an employer in their headline — the rest are independent operators, coaches, and founders whose “company” is their own brand.
Reaction mix tells you the *type* of attention Richard’s content gets. The repeat rate tells you who’s actually paying attention vs. passively scrolling. Algorithm-analysis feeds get scrolled; Richard’s gets studied — the comment counts on his posts are multiples of the norm for his follower tier.
30 posts on Richard van der Blom’s feed analyzed (Aug 3 – Sep 2, 2026). Algorithm teardowns and data drops are the relationship play that keeps the practitioner core returning; his personal posts — the AI-slop satire and the one-year anniversary of his mother’s death — are the reach spikes of the window.
This isn’t a list of likes. It’s a map of the LinkedIn practitioner economy forming in public around one of its most trusted analysts — and most of it isn’t being worked.
The question isn’t whether people engage with Richard’s content. It’s who’s engaging that nobody’s working.
Data is only as good as the decision it changes. Here’s the same analysis, read two ways.
This is a live map of buyers for LinkedIn tooling, ghostwriting, coaching, and social-selling services: 971 named people, including 151 founders/CEOs and 390 GTM/sales operators — the independent practitioners building their own brands who buy exactly what this market sells. Every one of them is a warm signal — and most aren’t in any CRM.
Northrop Management leads the senior-signal ranking — 2 engagers, 2 senior. When a firm’s people track an analyst this consistently, that’s an account with a paper trail.
His feed is a public roster of the LinkedIn authority economy: 390 GTM/sales operators, 151 founders, and a long tail of coaches, ghostwriters, and consultants who treat his algorithm analysis as required reading.
210 people engage with 2+ posts in 30 days — a deeply loyal core that no algorithm change can take away. The relationship layer already exists; the missing piece is a system that turns public engagement into routed pipeline.