fanaticTV

fanatictv.com

entertainment

fanatictv.com

West Hollywood, California, United States

1-10 employees

LinkedIn Profile

fanaticTV's Tech Stack

AI/ML

Decision Makers at fanaticTV

1 contact

Drew Massey

CEO

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14 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.

fanaticTV's Position in the StackWho Database

• fanaticTV is 1 of 5,732 entertainment companies tracked in StackWho.
• 5,714 entertainment companies in our database have verified decision-maker emails (100% of the cohort).
• 53,147 companies in California are in the StackWho database.
• 2,506 entertainment companies are in the 1-10 employee range (same size as fanaticTV).

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 fanaticTV use?

fanaticTV uses Gmail, Google Apps, Amazon AWS, Android, Node.js, Remote, and 8 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at fanaticTV?

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

What industry is fanaticTV in?

fanaticTV operates in the entertainment industry, headquartered in West Hollywood, California, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export fanaticTV's contact data?

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