SFR Cleaners

sfrcleaners.com

facilities services

sfrcleaners.com

San Francisco, California, United States

1-10 employees

LinkedIn Profile

SFR Cleaners's Tech Stack

AI/ML

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.

SFR Cleaners's Position in the StackWho Database

• SFR Cleaners is 1 of 1,661 facilities services companies tracked in StackWho.
• 1,655 facilities services companies in our database have verified decision-maker emails (100% of the cohort).
• 53,147 companies in California are in the StackWho database.
• 709 facilities services companies are in the 1-10 employee range (same size as SFR Cleaners).

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 SFR Cleaners use?

SFR Cleaners uses Apache, Google Font API, WordPress.org, Mobile Friendly, Android, Remote, and 3 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at SFR Cleaners?

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

What industry is SFR Cleaners in?

SFR Cleaners operates in the facilities services industry, headquartered in San Francisco, California, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export SFR Cleaners's contact data?

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