500 more Splunk-user lookalikes, none mentioned anywhere before 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 404 displayed organizations, each with evidence of workplace Splunk use in a role active during 2025 (209 people) or 2026 (291 people). Names were normalized and checked against all 1,325 rows from the five earlier prospect lists 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 (six 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 (209)Active in 2026 (291)
Splunk-titled specialists are the largest segment — 143 of the 500 carry “Splunk” in the job title itself; the highest scoring is a Splunk engineer and incident response analyst at JM MiSa INC (linkedin.com).
The top score in the set is 0.840, a security engineering technical leader at Cisco running global enterprise Splunk, ITSI, Enterprise Security, SOAR and Observability Cloud platforms (linkedin.com).
291 people — 58% — qualify through 2026 activity, the freshest signal in the set; an example is a Splunk administrator at BDC in Canada active in 2026 (ca.linkedin.com).
One row per source page: 500 distinct URLs across 6 LinkedIn hostnames, 474 on the main linkedin.com host and singletons as far as Singapore Airlines (sg.linkedin.com).

All 500 prospects

#PersonTitle & employerSegmentSplunk use caseActiveScoreSource

500 LinkedIn public-profile rows ranked by similarity score (0.745–0.840, mean 0.773); one row per distinct URL across 6 LinkedIn hostname variants; 500 distinct person names, 404 displayed organizations; activity dates 2025 (209) and 2026 (291). Score measures role similarity to the Daniel Wilson / Rafael Hass target profile, not purchase intent. Names deduplicated against 1,325 prior rows from the five earlier lists in this thread. Use-case and evidence text truncated for space; follow source links for full profiles. Compiled 2026.

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