Abakiks

abakiks.com

apparel & fashion

abakiks.com

Minto, North Dakota, United States

1-10 employees

LinkedIn Profile

Abakiks's Tech Stack

Decision Makers at Abakiks

1 contact

Monica Cuetara

Co-Founder & CEO

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9 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

WordPress as a CMS signals a content-driven or SMB digital presence. SEO tools, hosting solutions, and page-builder plugins are natural fits for outreach.

Abakiks's Position in the StackWho Database

• Abakiks is 1 of 3,706 apparel & fashion companies tracked in StackWho.
• 3,695 apparel & fashion companies in our database have verified decision-maker emails (100% of the cohort).
• 270 companies in North Dakota are in the StackWho database.
• 2,190 apparel & fashion companies are in the 1-10 employee range (same size as Abakiks).

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 Abakiks use?

Abakiks uses Google Cloud Hosting, Nginx, Facebook Custom Audiences, Woo Commerce, Google Font API, WordPress.org, and 3 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Abakiks?

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

What industry is Abakiks in?

Abakiks operates in the apparel & fashion industry, headquartered in Minto, North Dakota, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Abakiks's contact data?

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