Pull-in NYC
3.3 ★★★★★ 5+ reviews
This listing has been marked as closed.
Contact Information
Historical Phone: (212) 228-6022
Historical Hours: Show
Web: www.pull-in.com
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Business Description
Pull-in NYC offers stylish and innovative underwear designed in France and made in Europe, with American influence. Founded in 2000 by Emmanuel Loheac, the brand aims to revolutionize the lingerie market with daring prints and products that balance originality, comfort, and quality. With a focus on individual expression and comfort, Pull-in NYC provides fashion-forward underwear for modern consumers who value both style and function.
Employees: 1-4
Founded: 2000
Industry
Shopping » Clothing stores; Men's clothing
Shopping » Clothing stores; Men's clothing
Engaged in:
Swimwear Store, Retail sale of clothing, footwear and leather articles in specialized stores, Fashion Accessories Store, Men's clothing
Swimwear Store, Retail sale of clothing, footwear and leather articles in specialized stores, Fashion Accessories Store, Men's clothing
ISIC Codes
4771
NAICS Codes
448
4771
NAICS Codes
448
Questions & Answers
Q1
Where is Pull-in NYC located?
Pull-in NYC is located at 147 Orchard St, New York, NY 10002, New York City.Q2
What days are Pull-in NYC open?
This listing has been marked as closed.
Pull-in NYC is open Mon–Sat 11 AM–7 PM; Sun 12–6 PM.Q3
What is the web address (URL) for Pull-in NYC?
The website for Pull-in NYC is www.pull-in.com.Similar Companies Nearby
Additional Businesses at this Address
147 Orchard St, New York, NY 10002 New York City, 10002
Businesses in Zip Code 10002
Businesses in 10002: 18,769
Population: 73,654
Categories
Shopping: 22%
Restaurants: 18%
Professional Services: 11%
Other: 50%
Price
Moderate: 41%
Inexpensive: 41%
Expensive: 14%
Very Expensive: 4%
Other: 0%
Area Codes
212: 79%
646: 10%
917: 6%
Other: 6%
Neighborhoods
Manhattan: 94%
Other: 6%
Stats and Demographics for Zip Code 10002
Race
Asian: 40%
Hispanic or Latino: 22%
White: 21%
Black Or African American: 6%
American Indian Or Alaskan Native: 0%
Other: 11%
Gender
Female: 51%
Male: 49%
Other: 0%
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