FUNToken

funtoken.io

financial services

funtoken.io

Sao Paulo, State of Sao Paulo, Brazil

1-10 employees

LinkedIn Profile

FUNToken's Tech Stack

AI/ML

Decision Makers at FUNToken

1 contact

Cody Boyd

Chief Technology Officer

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7 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

FUNToken operates in financial services. Strong sales angles include risk reduction, compliance automation, fraud prevention, and reporting/analytics tools.

FUNToken's Position in the StackWho Database

• FUNToken is 1 of 21,667 financial services companies tracked in StackWho.
• 21,586 financial services companies in our database have verified decision-maker emails (100% of the cohort).
• 6,958 companies in State of Sao Paulo are in the StackWho database.
• 8,943 financial services companies are in the 1-10 employee range (same size as FUNToken).

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 FUNToken use?

FUNToken uses Cloudflare DNS, ElasticEmail, Gmail, Google Apps, CloudFlare Hosting, Android, and 1 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at FUNToken?

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

What industry is FUNToken in?

FUNToken operates in the financial services industry, headquartered in Sao Paulo, State of Sao Paulo, Brazil. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export FUNToken's contact data?

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