SparesCNX

sparescnx.com

mining & metals

sparescnx.com

Singapore, Singapore

11-50 employees

LinkedIn Profile

About SparesCNX

inventory management & mining, mining

SparesCNX's Tech Stack

Decision Makers at SparesCNX

1 contact

Johnny Slattery

Chief Executive Officer

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7 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

AWS infrastructure signals engineering sophistication. This company likely evaluates cloud cost management, security tooling, observability, and developer productivity solutions.

SparesCNX's Position in the StackWho Database

• SparesCNX is 1 of 1,743 mining & metals companies tracked in StackWho.
• 1,731 mining & metals companies in our database have verified decision-maker emails (99% of the cohort).
• 602 mining & metals companies are in the 11-50 employee range (same size as SparesCNX).

Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated July 2026.

Frequently Asked Questions

What technology does SparesCNX use?

SparesCNX uses Amazon CloudFront, Route 53, Amazon SES, Gmail, Google Apps, Microsoft Office 365, and 1 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at SparesCNX?

StackWho has verified email addresses for 1 decision maker at SparesCNX. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach SparesCNX directly for sales, recruiting, or partnerships.

What industry is SparesCNX in?

SparesCNX operates in the mining & metals industry, headquartered in Singapore, Singapore. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export SparesCNX's contact data?

Yes. StackWho Pro members can export decision maker contact data for SparesCNX and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.