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Fashion For Breakfast

Fashion For Breakfast Email Formats

Retail Apparel and FashionFlag of ITCarpi, Emilia-Romagna, Italy1-10 Employees

Key Contact at Fashion For Breakfast

Flag of IT

Alessia For Breakfast

creative director

Company overview

HeadquartersCarpi, Emilia-Romagna, Italy
Website
NAICS315
Keywords
Fashion Designer, Trend, Consulenza Personalizzata, Analisi Sfilate, Analisi Tendenze, Figurini, Moda E Tendenze, Previsione Tendenze, Tavole Grafiche
Founded2015
Employees1-10

About Fashion For Breakfast

Fashion for Breakfast is the 1st italian trend forecasting site, offering his subscribers detailed fashion analysis on the latest trends. We offer our users exclusive content, crafted and updated by our professional team, as well as a tailor-made counselling service available every day. Get to know us better on: www.fashionforbreakfast.it

Employees by Management Level

Total employees: 1-10

Seniority

Employees

Director

Funding Data

Fashion For Breakfast has never raised funding before.

Fashion For Breakfast Tech Stack

Discover the technologies and tools that power Fashion For Breakfast's digital infrastructure, from frameworks to analytics platforms.

Plesk

Plesk

Hosting panels

Apache HTTP Server

Apache HTTP Server

Web servers

Sentry

Sentry

Issue trackers

React Router

React Router

JavaScript frameworks

Nginx

Nginx

Reverse proxies

PHP

PHP

Programming languages

RequireJS

RequireJS

JavaScript frameworks

React

React

JavaScript frameworks

core-js

core-js

JavaScript libraries

PWA

PWA

Miscellaneous

Prototype

Prototype

JavaScript frameworks

Frequently asked questions

Fashion For Breakfast is located in Carpi, Emilia-Romagna, IT.
Fashion For Breakfast was founded in 2015, making it 11 years old. The company has established itself as a significant player in its industry over this time.
Fashion For Breakfast has approximately 1-10 employees. The company continues to grow its workforce to support its business operations and expansion.

4.8

40,000 users

top 50
high performer
most used
tier 1 accuracy

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