Kenyan Riders

kenyanriderssafaricom.com

sports

kenyanriderssafaricom.com

New York, New York, United States

1-10 employees

LinkedIn Profile

About Kenyan Riders

spectator sports

Kenyan Riders's Tech Stack

9 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

AWS infrastructure signals engineering sophistication. This company likely evaluates cloud cost management, security tooling, observability, and developer productivity solutions.

Kenyan Riders's Position in the StackWho Database

• Kenyan Riders is 1 of 2,691 sports companies tracked in StackWho.
• 2,689 sports companies in our database have verified decision-maker emails (100% of the cohort).
• 23,956 companies in New York are in the StackWho database.
• 1,437 sports companies are in the 1-10 employee range (same size as Kenyan Riders).

Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated September 2026.

Frequently Asked Questions

What technology does Kenyan Riders use?

Kenyan Riders uses Cloudflare DNS, CloudFlare Hosting, Amazon AWS, Typekit, Mobile Friendly, Bootstrap Framework, and 3 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Kenyan Riders?

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

What industry is Kenyan Riders in?

Kenyan Riders operates in the sports industry, headquartered in New York, New York, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Kenyan Riders's contact data?

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