500 additional Splunk-user lookalikes, none seen in any earlier list on this thread

Asked:

“daniel wilson of voleon, splunk customer — give me 100 more lookalikes like him. i want to go after splunk customers.”

Asked (follow-up):

“find another 500 not mentioned anywhere before on this thread.”

500 named people at 419 displayed organizations, each with evidence of workplace Splunk use in a role active during 2025 (315 people) or 2026 (185 people). Names were normalized and checked against all 825 rows from the four earlier prospect reports in this conversation — every person here is new, and Daniel Wilson and Rafael Hass are excluded. Every row is single-platform sourced: all 500 source pages are LinkedIn public profiles (five regional hostname variants of one platform).

These are public professional-profile claims, not verified purchasing records or proof of a current Splunk contract. Similarity score ranks role fit to the target profile — it is not purchase intent. Verify employment, identity, enterprise account ownership, and active production Splunk use before outreach. Screening rejected Splunk employees, vendors, resellers, integrators, MSPs, consultants and staffing arrangements, certifications-only and lab profiles, internships, migrations away from Splunk, and roles that ended before 2025.

Where the 500 sit: role segment vs similarity to the target profile

Each dot is one person; rows are role segments sorted by headcount, x is the similarity score. Hover or tap a dot for name, title, employer and evidence.

Active in 2025 (315)Active in 2026 (185)
Splunk-titled specialists are the largest segment — 119 of the 500 carry “Splunk” in the job title itself, like the senior Splunk SME at Blue Cross Blue Shield Association (linkedin.com).
The top score in the set is 0.828, a SOC manager at Persistent Systems running Splunk Cloud and Splunk Enterprise Security (in.linkedin.com).
185 people — 37% — qualify through 2026 activity, the freshest signal in the set; an example is a security engineer in Canada active in 2026 (ca.linkedin.com).
One row per source page: 500 distinct URLs across 5 LinkedIn hostnames, 481 on the main linkedin.com host (linkedin.com).

All 500 prospects

#PersonTitle & employerSegmentSplunk use caseActiveScoreSource

500 LinkedIn public-profile rows ranked by similarity score (0.746–0.828, mean 0.770); one row per distinct URL across 5 LinkedIn hostname variants; 500 distinct person names, 419 displayed organizations; activity dates 2025–2026. Score measures role similarity to the Daniel Wilson target profile, not purchase intent. Names deduplicated against 825 prior rows from earlier reports in this thread. Use-case and evidence text truncated for space; follow source links for full profiles. Compiled 2026.

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