Lula.Cleaning

lula.cleaning

real estate

lula.cleaning

Palo Alto, California, United States

1-10 employees

LinkedIn Profile

Lula.Cleaning's Tech Stack

AI/ML

Decision Makers at Lula.Cleaning

1 contact

Michal Borychowski

CEO & Founder

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11 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

React-based front-ends indicate a modern web engineering stack. Developer tools, component libraries, testing frameworks, and design systems are relevant sales angles.

Lula.Cleaning's Position in the StackWho Database

• Lula.Cleaning is 1 of 9,334 real estate companies tracked in StackWho.
• 9,307 real estate companies in our database have verified decision-maker emails (100% of the cohort).
• 53,147 companies in California are in the StackWho database.
• 4,685 real estate companies are in the 1-10 employee range (same size as Lula.Cleaning).

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 Lula.Cleaning use?

Lula.Cleaning uses Cloudflare DNS, CloudFlare Hosting, Android, React Native, Node.js, Laravel, and 5 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Lula.Cleaning?

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

What industry is Lula.Cleaning in?

Lula.Cleaning operates in the real estate industry, headquartered in Palo Alto, California, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Lula.Cleaning's contact data?

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