TextQL

textql.com

information technology & services

textql.com

San Francisco, California, United States

11-50 employees

LinkedIn Profile

About TextQL

data infrastructure & analytics, information technology & services

TextQL's Tech Stack

AI/ML

DevOps

Docker

23 technologies detected · 3 decision makers · Emails available

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.

TextQL's Position in the StackWho Database

• TextQL is 1 of 194,140 information technology & services companies tracked in StackWho.
• 193,618 information technology & services companies in our database have verified decision-maker emails (100% of the cohort).
• 53,147 companies in California are in the StackWho database.
• 74,148 information technology & services companies are in the 11-50 employee range (same size as TextQL).

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 TextQL use?

TextQL uses Cloudflare DNS, Gmail, Google Apps, Microsoft Office 365, CloudFlare Hosting, Google Tag Manager, and 17 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at TextQL?

StackWho has verified email addresses for 3 decision makers at TextQL. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach TextQL directly for sales, recruiting, or partnerships.

What industry is TextQL in?

TextQL operates in the information technology & 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 TextQL's contact data?

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