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Time Doctor Tech Stack

Workforce analytics platform for time tracking and team productivity measurement

Technology, Information and Internet Las Vegas, Nevada 51–200 employees Founded 2010 Privately Held
timedoctor.com LinkedIn

Time Doctor operates a workforce analytics platform built on Node.js and React, with a modern data stack (MongoDB, PostgreSQL, BigQuery, dbt) feeding BI tools (Looker, Tableau, Power BI). Current hiring is entirely sales-focused—six mid-level sales roles across US, Latin America, and Brazil—paired with active projects around AI-generated lead conversion and deal acceleration, indicating a sales-led growth phase targeting pipeline expansion.

Tech Stack 24 technologies

Core StackNode.js Angular React MongoDB Python Go MySQL PostgreSQL Jest Cypress AWS BigQuery Looker Tableau Power BI dbt Amplitude Mixpanel HubSpot GCP Mocha Azure Qlik LinkedIn Sales Navigator

What Time Doctor Is Building

◆Challenges

  • Accelerating deal velocity
  • Converting ai-generated leads into meetings
  • Increasing qualified pipeline

▲Active Projects

  • Ai-generated lead conversion
  • High-impact sales outreach
  • Social selling and community engagement

Hiring Activity

Accelerating6 roles · 6 in 30d

Department

Sales
6

Seniority

Mid
6
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About Time Doctor

Time Doctor is a workforce analytics platform that helps managers measure and optimize team productivity through time tracking, activity monitoring, and performance dashboards. The product provides visibility into how teams allocate time, identifies productivity gaps, and quantifies billable hours and tool usage. Founded in 2010 and headquartered in Las Vegas, the company operates with 51–200 employees and serves mid-market and enterprise organizations managing distributed or office-based teams.

HeadquartersLas Vegas, Nevada
Company Size51–200 employees
Founded2010
Hiring MarketsArgentina, Mexico, United States, Brazil

Frequently Asked Questions

What tech stack does Time Doctor use?

Time Doctor runs Node.js and React on the frontend, MongoDB and PostgreSQL for storage, and uses GCP, AWS, and Azure for cloud infrastructure. Analytics are powered by BigQuery with dbt for transformation, and visualization through Looker, Tableau, and Power BI.

What is Time Doctor working on?

Current priorities include AI-generated lead conversion, high-impact sales outreach, and social selling. The company is focused on accelerating deal velocity and converting AI-generated leads into qualified meetings.

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How this profile is built

Time Doctor's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.