The Tech Stack feature provides comprehensive insights into your target accounts’ technology infrastructure by analyzing job postings, online data, and other digital footprints to reveal what technologies they actively use and invest in.

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How Tech Stack Intelligence Works

PG:AI analyzes multiple data sources to build a complete picture of each account’s technology environment:
  • Job Postings: Requirements and skills mentioned in recent job listings
  • Online Presence: Technology mentions in company content and documentation
  • Digital Footprint: Technical indicators from web presence and applications
  • Investment Signals: Technology-related announcements and initiatives
Tech Stack data is continuously updated as new information becomes available, ensuring you have the most current view of their technology landscape.

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Technology Categories

Data, BI and Analytics

Snowflake, Databricks, Tableau, Power BI, data warehouses, analytics platforms

Collaboration

Slack, Microsoft Teams, Zoom, project management, team communication tools

Communications

VoIP systems, unified communications, messaging platforms, conferencing tools

Computer Networks

Network infrastructure, switches, routers, load balancers, CDN services

Customer Management

CRM systems, customer service platforms, support ticketing, contact management

DevOps and Development

CI/CD tools, version control, containerization, deployment automation

E-commerce

Online stores, payment processing, inventory management, shopping platforms

Finance and Accounting

ERP systems, accounting software, financial management, billing platforms

Industrial Engineering

Manufacturing systems, process automation, quality management, supply chain

Programming

Programming languages, frameworks, libraries, development environments

HR

HRIS systems, talent management, payroll, recruitment platforms

IT Management

System monitoring, asset management, IT service management, infrastructure tools

IT Security

Security tools, identity management, compliance frameworks, threat detection

Marketing

Marketing automation, email platforms, social media tools, campaign management

Platform and Storage

Cloud platforms, storage solutions, hosting services, infrastructure-as-a-service

Product and Design

Design tools, prototyping software, product management, user experience platforms

Productivity and Operations

Office suites, document management, workflow automation, operational tools

Sales

Sales automation, lead generation, proposal tools, revenue management

Testing and QA

Testing frameworks, quality assurance tools, automated testing, bug tracking

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Favourites Category

You can customize which technologies are most important to your sales process by setting up Favourites in Settings → Technologies. This creates a filtered view showing only the technologies most relevant to your solution.
The Favourites category allows you to:
  • Focus on technologies that directly relate to your value proposition
  • Quickly identify accounts using your key integration partners
  • Streamline tech stack analysis for faster qualification
  • Create consistent technology-focused talking points across your team

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Using Tech Stack Insights

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Sales Qualification

  • Identify if they use technologies you integrate with
  • Spot gaps where your solution could add value
  • Understand their current tech investment level
  • Assess modernization vs. legacy environment

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Conversation Starters

Use tech stack insights to create relevant, credible conversations: For Development Teams: “I noticed you’re using Kubernetes extensively. How are you handling monitoring and observability across your containerized applications?” For Data Teams: “I see you’ve invested heavily in Snowflake. How are you managing data quality and governance as you scale your analytics?” For Security Teams: “Your job postings mention Zero Trust architecture. What’s driving that security transformation initiative?”

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Category Filtering

Quickly find specific technologies:
  • Search for exact technology names (e.g., “PostgreSQL”, “React”)
  • Look for technology categories (e.g., “database”, “container”)
  • Find complementary technologies to your solution
  • Identify technology stacks that indicate good fit

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Interpreting Tech Stack Data

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Signal Strength Indicators

High mention frequency in job postings typically indicates active use and investment, while single mentions may be aspirational or legacy.
Strong Signals:
  • Multiple recent job postings requiring specific technology
  • Senior-level positions (architects, leads) mentioning technology
  • Technology paired with “scaling” or “modernization” keywords
  • Multiple related technologies in the same ecosystem
Weak Signals:
  • Single mention in older job posting
  • Technology listed without context or requirements
  • Contradictory technologies suggesting experimentation
  • Technologies mentioned in junior or intern positions only

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Technology Maturity Assessment

1

Cutting-Edge

Latest versions, emerging technologies, innovation-focused hiring
2

Modern

Current industry-standard technologies, regular updates
3

Stable

Established technologies, focus on maintenance and optimization
4

Legacy

Older technologies, modernization or migration indicators

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Strategic Applications

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By Sales Role

  • Qualify technical fit early in sales process
  • Identify integration requirements and complexity
  • Build technical credibility in conversations
  • Anticipate implementation challenges

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Account Planning Integration

Use tech stack insights to inform:
  • Solution Positioning: Emphasize integrations and compatibility
  • Value Proposition: Connect to their technology investments
  • Risk Assessment: Identify technical implementation challenges
  • Expansion Planning: Spot opportunities for additional solutions

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Best Practices

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Discovery Approach

  1. Start Broad: Review overall technology landscape before diving deep
  2. Validate Assumptions: Use insights to ask informed questions, not make statements
  3. Connect to Business: Link technology choices to business outcomes
  4. Update Regularly: Technology environments change rapidly

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Common Pitfalls to Avoid

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Integration with Other Features

Tech Stack insights work best when combined with:
  • Engage Insights: Connect technology needs to business initiatives
  • Contact Intelligence: Find technical decision-makers and influencers
  • AI Assistant: Ask specific questions about their technology environment
  • Custom Insights: Track technology-specific initiatives and projects

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Quick Actions

Search Technologies

Find specific technologies relevant to your solution

Ask AI Assistant

Get deeper insights about their technology choices

Create Content

Generate technical talking points and content