BAIUSHKI

BAIUSHKI

baiushki.com

apparel & fashion

Chubut Province, Argentina
1-10 employees

About BAIUSHKI

jewelry, retail apparel & fashion

Decision Makers at BAIUSHKI

1 contact

Arnaud Pernet

Co-Founder

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14 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

Shopify powers e-commerce operations of all sizes. This company is likely receptive to checkout optimization, abandoned cart solutions, loyalty platforms, and merchant financing.

BAIUSHKI's Position in the StackWho Database

  • BAIUSHKI 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).
  • 45 companies in Chubut Province are in the StackWho database.
  • 2,190 apparel & fashion companies are in the 1-10 employee range (same size as BAIUSHKI).

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 BAIUSHKI use?

BAIUSHKI uses Outlook, Google Analytics, Amadesa, Google Tag Manager, Google Maps (Non Paid Users), Mobile Friendly, and 8 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at BAIUSHKI?

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

What industry is BAIUSHKI in?

BAIUSHKI operates in the apparel & fashion industry, headquartered in Chubut Province, Argentina. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export BAIUSHKI's contact data?

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