About 纽约时报
digital media, consumer internet, internet, information technology, newspaper publishing, media syndication, news editorial tools, media platform, news monetization, news content management, news audience, news newsletters, news market, news content, international news, education, news website, news data, events, media analytics tools
纽约时报's Tech Stack
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.
纽约时报's Position in the StackWho Database
- • 纽约时报 is 1 of 1,908 publishing companies tracked in StackWho.
- • 1,904 publishing companies in our database have verified decision-maker emails (100% of the cohort).
- • 23,956 companies in New York are in the StackWho database.
- • 10 publishing companies are in the 5001-10000 employee range (same size as 纽约时报).
Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated August 2026.
Frequently Asked Questions
What technology does 纽约时报 use?
纽约时报 uses NSOne, Route 53, Amazon SES, Gmail, Google Apps, Microsoft Office 365, and 9 more technologies. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at 纽约时报?
StackWho has verified email addresses for 49 decision makers at 纽约时报. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach 纽约时报 directly for sales, recruiting, or partnerships.
What industry is 纽约时报 in?
纽约时报 operates in the publishing 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 纽约时报's contact data?
Yes. StackWho Pro members can export decision maker contact data for 纽约时报 and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.
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