IN X OUT

inoutapparel.com

retail

inoutapparel.com

Baltimore, Maryland, United States

1-10 employees

LinkedIn Profile

IN X OUT's Tech Stack

AI/ML

Decision Makers at IN X OUT

1 contact

Lyndsay Tufts

CEO

l***@inoutapparel.com Sign up to view

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30 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.

IN X OUT's Position in the StackWho Database

• IN X OUT is 1 of 6,762 retail companies tracked in StackWho.
• 6,733 retail companies in our database have verified decision-maker emails (100% of the cohort).
• 4,819 companies in Maryland are in the StackWho database.
• 3,357 retail companies are in the 1-10 employee range (same size as IN X OUT).

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 IN X OUT use?

IN X OUT uses Rackspace MailGun, Outlook, Shopify, Klaviyo, Mobile Friendly, Wordpress.com, and 24 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at IN X OUT?

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

What industry is IN X OUT in?

IN X OUT operates in the retail industry, headquartered in Baltimore, Maryland, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export IN X OUT's contact data?

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