PredictLeads Technographics Dataset
PredictLeads Technographics Dataset is a comprehensive technology intelligence platform that provides structured data on over 46,000 technologies used across 65 million companies worldwide, sourced from multiple channels including website scripts, DNS records, and job descriptions.
https://predictleads.com/technologies?ref=producthunt
Product Information
Updated:Feb 16, 2026
What is PredictLeads Technographics Dataset
PredictLeads Technographics Dataset is a powerful data intelligence solution that tracks and analyzes technology adoption patterns across companies globally. The dataset has accumulated over 1.2 billion technology detections since 2018, offering detailed insights into companies' technology stacks, adoption trends, and tech spending patterns. It provides transparent, structured data with first-seen and last-seen timestamps for each technology detection, allowing users to monitor technology migrations, competitive shifts, and market trends over time. The dataset covers a wide range of technologies from CRM and marketing tools to analytics and payment systems, making it valuable for sales, marketing, and business intelligence professionals.
Key Features of PredictLeads Technographics Dataset
PredictLeads Technographics Dataset provides comprehensive technology adoption data covering over 46,000 technologies across 65 million companies worldwide. The dataset sources technology information from multiple channels including website script tags, DNS records, job descriptions, cookies, and IP ranges. Each detection includes detailed timestamps, categorization, pricing data, and methodology transparency, enabling users to track adoption curves, technology migrations, and competitive shifts over time.
Multi-source Technology Detection: Identifies technologies through diverse sources including HTML/JavaScript analysis, DNS records, job descriptions, and cookies to ensure maximum accuracy and coverage
Temporal Data Tracking: Provides first_seen_at and last_seen_at timestamps for each technology detection, enabling historical analysis and tracking of adoption patterns
Structured Technology Categorization: Organizes technologies into categories and parent categories with enriched data including pricing information, descriptions, and relationship mapping
Comprehensive Coverage: Tracks over 1.2 billion technology detections across 65 million companies, covering tools from CRM and marketing automation to infrastructure and security solutions
Use Cases of PredictLeads Technographics Dataset
Sales Intelligence: Help sales teams identify prospects using specific technologies or competitors' products for targeted outreach and competitive displacement campaigns
Market Analysis: Enable analysts and investors to track technology adoption trends, market share shifts, and emerging technology categories across industries
Competitive Intelligence: Monitor competitors' technology stack changes and customer migrations to identify market opportunities and threats
Investment Research: Help VCs and investors evaluate technology adoption trends and identify high-growth startups based on their technology choices
Pros
High accuracy rate (above 95%) across datasets
Rich historical data dating back to 2018
Multiple data collection sources ensuring comprehensive coverage
Cons
Detection models need refinement according to some reviews
Some technology data may be behind firewalls and not detectable
How to Use PredictLeads Technographics Dataset
Create an Account: Sign up for a PredictLeads account at predictleads.com/sign_up. No credit card is required for initial access.
Choose Access Method: Select your preferred data access method: API, flat files, webhooks, or MCP server for AI agent integration
Set Up API Authentication: Obtain your API credentials from the dashboard and integrate them into your application to start making API calls
Query Technology Data: Use the technology detection endpoint to search for companies using specific technologies (e.g., Salesforce, HubSpot, Marketo) by sending the Technology ID
Filter Results: Apply filters to narrow down results by parameters like first_seen_at, last_seen_at, behind_firewall status, and detection score
Analyze Detection Sources: Review the sources of technology detection (script tags, DNS records, IP ranges, cookies, job descriptions) provided in the response data
Monitor Technology Adoption: Track adoption curves over time using the timestamp data (first_seen_at and last_seen_at) to identify growing or declining technology trends
Create Watchlists: Set up monitoring for specific companies or technologies to track changes in technology stack and migrations between tools
Export Data: Download or sync the technology detection data to your preferred analysis tools or CRM systems for further processing
Leverage MCP Integration: If using AI agents, configure the MCP server connection to enable direct querying of technographics data through your AI systems
PredictLeads Technographics Dataset FAQs
PredictLeads tracks over 46,000 technologies across 65 million companies, with 1.2 billion technology detections. Data is sourced from script tags, DNS records, IP ranges, cookies, job descriptions, and website content.
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