SQL Down Under

SQL Down Under

sqldownunder.com

staffing & recruiting

Glen Waverley, Victoria, Australia
1-10 employees
24 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

Stripe usage indicates active payment processing and likely a SaaS or marketplace model. Finance tools, billing automation, and fraud prevention solutions are highly relevant.

SQL Down Under's Position in the StackWho Database

  • SQL Down Under is 1 of 27,583 staffing & recruiting companies tracked in StackWho.
  • 27,572 staffing & recruiting companies in our database have verified decision-maker emails (100% of the cohort).
  • 7,145 companies in Victoria are in the StackWho database.
  • 18,718 staffing & recruiting companies are in the 1-10 employee range (same size as SQL Down Under).

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

Frequently Asked Questions

What technology does SQL Down Under use?

SQL Down Under uses Cloudflare DNS, MailJet, Outlook, CloudFlare Hosting, Mobile Friendly, Google Font API, and 18 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at SQL Down Under?

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

What industry is SQL Down Under in?

SQL Down Under operates in the staffing & recruiting industry, headquartered in Glen Waverley, Victoria, Australia. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export SQL Down Under's contact data?

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