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DataPulseX

Tracks ad clicks, WhatsApp messages, and website behavior to attribute sales and measure campaign profitability.

AnalyticsAnalyticsSmall business
datapulsex.com.br ↗Launched on Product Hunt · 2026-05-07
At a glanceswept 2026-09-18
Price
Price not read
Use
Emerging
Activity
Actively maintainednothing dated on the site
Company
founding year not on record
Alternatives in Analyticsby use, among tools still maintained
  • Wolfram: Computation Meets KnowledgeProvides computational tools for technical computing, data analysis, and symbolic mathematics.

    Widely used

    ≈ 9.7M visits/mo
  • RipplingManages HR, IT, payroll, and finance for global workforces on a unified platform with AI automation.

    Widely used

    ≈ 704k visits/mo
  • Thomson Reuters Checkpoint Edge with CoCounsel AIIntegrates legal research, analysis and drafting with AI grounded in legal content and case law.

    Widely used

    ≈ 3M visits/mo
  • DataboxConnects business data and metrics to AI agents that analyze performance, generate reports, and automate recurring analysis workflows.

    Widely usedActively maintained

    ≈ 58.7k visits/mo
  • ThoughtSpotBuilds analytics agents and dashboards that answer business questions from company data using natural language.

    Widely used

    ≈ 231k visits/mo
  • Sigma ComputingBuilds analytics applications and AI agents that query data warehouses directly with governance at the source.

    Established

    ≈ 65.3k visits/mo

All Analytics tools →

Questions this page answers
  • What is DataPulseX?

    Tracks ad clicks, WhatsApp messages, and website behavior to attribute sales and measure campaign profitability.

  • Do people use DataPulseX?

    Emerging.

  • Is DataPulseX still maintained?

    Actively maintained.

  • What are alternatives to DataPulseX?

    In Analytics, by use: Wolfram: Computation Meets Knowledge, Rippling, Thomson Reuters Checkpoint Edge with CoCounsel AI, Databox, ThoughtSpot, Sigma Computing.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.