Taekus

taekus.com

financial services

taekus.com

San Francisco, California, United States

11-50 employees

LinkedIn Profile

Taekus's Tech Stack

Decision Makers at Taekus

1 contact

David Woldenberg

Head of Engineering

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12 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.

Taekus's Position in the StackWho Database

• Taekus 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).
• 53,147 companies in California are in the StackWho database.
• 7,667 financial services companies are in the 11-50 employee range (same size as Taekus).

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 Taekus use?

Taekus uses Cloudflare DNS, Gmail, Google Apps, Amazon AWS, Mobile Friendly, Node.js, and 6 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Taekus?

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

What industry is Taekus in?

Taekus operates in the financial 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 Taekus's contact data?

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