“daniel wilson of voleon, splunk customer - give me 100 more lookalikes like him. i want to go after splunk customers.”
“find me another 500 people like Rafael Hass | Security Information Manager BTG Pactual and daniel of voleon - both splunk users.”
500 public-web prospect records modeled on Rafael Hass’s security-information/SIEM leadership and Daniel Wilson’s hands-on senior security-engineering and Splunk-administration profile. Every record shows evidence of workplace Splunk activity in a role active during 2025 (265 records) or 2026 (235 records); similarity scores run 0.756–0.811. Rafael Hass, Daniel Wilson, BTG Pactual, Voleon, and all 25 people and organizations from the prior strict verified report were excluded. The 500 rows cover 480 distinct displayed name strings and 425 organizations — abbreviated or common names and people with multiple qualifying employer-role records account for the gap, so this is 500 prospect records, not 500 identity-resolved unique humans.
Read before outreach: LinkedIn and its regional hostnames supply 497 of the 500 rows, so the evidence is heavily single-platform: public professional-profile and event/customer-story data, not independent confirmation of a commercial Splunk contract. Similarity scores rank profile resemblance to Rafael and Daniel — they are not buying intent. Verify employment, account ownership, current production Splunk usage, and outreach suitability before contacting anyone. No contact information is included.
Bars sorted by segment size; darker = qualified through 2026 activity, lighter = 2025. Click a bar to filter the table below; hover a slice for its top names.
Search any field; filter by segment or activity year. Sorted by similarity score, highest first.
| # | Person | Title & employer | Segment | Splunk use case | Activity | Score | Source |
|---|
Method: 500 public-web prospect records modeled on the Rafael Hass (SIEM/security-information leadership) and Daniel Wilson (senior security engineering / Splunk administration) profiles, compiled 2026. Each row holds person, title, employer, qualifying activity date (2025 or 2026), Splunk use case, explicit Splunk evidence quote, similarity score (profile resemblance, 0.756–0.811, not buying intent), and source URL. 497 of 500 rows are LinkedIn-sourced; 480 distinct source pages; no URL backs more than 2 rows. Screened out: certifications-only, training, labs, internships, migrations away from Splunk, Splunk employees, consultants, vendors, resellers, MSPs, and historical roles. Role segments were assigned from job titles for this report. Evidence quotes are truncated in the table for space; verify each record before outreach.