SaaS Sales Intelligence

Scan a website, get the full tech stack, score the lead, and identify product gaps where your solution fits. Built for SaaS sales teams selling into tech companies. Find companies using 15 of the 20 tools in your competitive set. Know exactly which product categories they're NOT using yet. That's your opening.

Stop sending generic emails. Your prospect is running React + Node + AWS + Stripe. You sell a payments orchestration layer. You already know they have a payments problem. This actor confirms it — and tells you exactly what they're missing.

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⚡ What You Get

TECH STACK ANALYSIS: getlinked.io

├── Primary Technologies:
│   ├── Frontend: React 18.2.0, TypeScript, Tailwind CSS
│   ├── Backend: Node.js, Express.js, GraphQL
│   ├── Database: PostgreSQL, Redis (caching)
│   ├── Infrastructure: AWS (EC2, S3, CloudFront), Docker
│   ├── Payment Stack: Stripe + Square (dual-provider)
│   └── Monitoring: DataDog, New Relic
│
├── Tech Stack Completeness: 34 technologies detected 👈 Mature stack (platform company behavior)
│
├── Product Fit Scoring:
│   ├── Lead Quality Score: 8.7/10
│   ├── ICP Match: 91% (if selling to developers)
│   ├── Buying Signal Strength: HIGH
│   │   └── Reason: Enterprise-grade infrastructure, multiple payment providers, heavy monitoring investment
│   │
│   ├── Gaps Identified:
│   │   ├── ✓ Has: Stripe, Square, BrainTree for payments
│   │   ├── ✗ Missing: Payment reconciliation automation (opportunity)
│   │   ├── ✗ Missing: Multi-currency conversion layer (opportunity)
│   │   ├── ✓ Has: CloudFlare
│   │   ├── ✗ Missing: Advanced DDoS protection (low priority)
│   │   └── ✗ Missing: API lifecycle management (opportunity if building integrations)
│
├── Comparable Companies Using Same Stack:
│   ├── Stripe (similar backend, went all-in on infrastructure)
│   ├── Postman (React/Node, similar scale signals)
│   └── Notion (TypeScript/Node backend, API-first approach)
│
├── Estimated Company Stage:
│   ├── Infrastructure Investment: Series B → Series C
│   ├── Headcount Estimate: 80–150 engineers
│   └── Buying Power: VERY HIGH
│
└── Recommended Outreach Angle:
    └── "I noticed you're managing payments across Stripe + Square. Most companies at your scale have 3x as many reconciliation problems. Let me show you why."

Why this matters: Your prospect just told you their entire technical roadmap by the tools they chose. Read it correctly and you've already won the conversation.

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🎯 Use Cases

• SaaS sales teams selling infrastructure, devops, or payments tools — identify companies with your exact customer profile
• Account-based marketing teams running highly personalized campaigns (use tech stack data to customize landing pages and email sequences)
• Product teams evaluating market fit — find companies using competing products and understand what gaps they haven't filled yet
• Integration-first sales — identify companies using your partner products and position cross-selling opportunities
• Investors evaluating SaaS startups — understand technical maturity and infrastructure investment as proxy for revenue stage

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📊 Sample Output

{
  "company": {
    "domain": "getlinked.io",
    "company_name": "GetLinked",
    "industry": "SaaS - Link Management"
  },
  "tech_stack": {
    "total_technologies": 34,
    "categories": {
      "frontend": {
        "frameworks": ["React 18.2.0", "TypeScript"],
        "styling": ["Tailwind CSS"],
        "package_manager": "npm"
      },
      "backend": {
        "runtime": "Node.js",
        "frameworks": ["Express.js"],
        "language": "JavaScript/TypeScript",
        "api": "GraphQL"
      },
      "database": {
        "primary": "PostgreSQL",
        "cache": "Redis"
      },
      "infrastructure": {
        "cloud": ["AWS EC2", "AWS S3", "AWS CloudFront"],
        "containers": "Docker",
        "cdn": "CloudFlare"
      },
      "payments": ["Stripe", "Square"],
      "monitoring": ["DataDog", "New Relic"],
      "analytics": ["Google Analytics", "Segment"]
    }
  },
  "lead_scoring": {
    "overall_fit_score": 8.7,
    "icp_match_percentage": 91,
    "buying_signal_strength": "HIGH",
    "estimated_company_stage": "Series B - Series C",
    "estimated_engineering_headcount": 120
  },
  "gaps_analysis": {
    "products_identified": ["Stripe", "Square", "CloudFlare"],
    "product_categories_missing": [
      {
        "category": "Payment Reconciliation",
        "your_product_fits": true,
        "priority": "HIGH",
        "explanation": "Multiple payment providers without unified reconciliation solution"
      },
      {
        "category": "Multi-Currency Conversion",
        "your_product_fits": true,
        "priority": "MEDIUM",
        "explanation": "International company but no currency layer detected"
      }
    ]
  },
  "outreach_angle": "I noticed you're managing payments across Stripe + Square. Most companies at your scale have 3x the reconciliation problems. Here's why.",
  "comparable_companies": ["Stripe", "Postman", "Notion"]
}

Field Guide:

• tech_stack.total_technologies — 30+ means Series B+; 15–25 means early growth; <15 means pre-product market fit
• lead_scoring.buying_signal_strength — HIGH means they're investing in infrastructure (have budget, have problems)
• gaps_analysis — THIS is your sales hook. If they're using Stripe but not payment reconciliation, that's your pitch
• estimated_company_stage — helps you route to right AE (enterprise rep vs. mid-market)

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🔗 Integrations & Automation

Webhook to Sales Playbooks: Tech stack detected → automatically triggers custom playbook. React + Node + AWS shops get one sequence; PHP monolith shops get another.

Email with Gap Analysis: Auto-send tech stack report + identified gaps to your team with recommended outreach angle.

MCP Compatible: AI systems can request tech stack analysis on-demand. Chatbots can tell customers "you're not using X" before you even call.

API Batch Processing: Submit 500 domains and get back scored leads, gaps, and outreach angles in JSON.

Slack Bot: Check any company's tech stack without leaving Slack. /techstack getlinked.io and get a summary in 3 seconds.

Learn about Apify integrations →

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🔗 Works Great With

• Small Business OSINT — Combine tech stack with funding history and team data. Score every company comprehensively.
• Contact Email Finder — Get CTO/VP Engineering emails for tech-focused outreach.
• Competitive Intelligence — Monitor when your prospects update their tech stack or adopt competitor solutions.
• LinkedIn Stealth Scraper — Get the engineers actually using the tech you detected; reach them directly on LinkedIn.
• Regional Lead Scanner — Find all companies in a region using your target tech stack.

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💰 Cost & Performance

Typical run: 1 tech stack analysis in 8–15 seconds for ~$0.08 per domain.

Batch processing: 100 websites in 2–3 minutes for ~$8. Start your morning with 100 leads scored and gaps identified.

Compare: Hiring a person to manually research tech stacks costs $50–100 per company. This actor pays for itself in the first 100 analyses.

Volume discount: 1,000 analyses per month? $0.04 per domain. Enterprise usage available.

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🛡️ Built Right

• JavaScript framework detection — identifies React, Vue, Angular, Svelte, Next.js (not guesses)
• Backend technology fingerprinting — Node.js, Python, Java, PHP, Ruby, Go signatures
• API type detection — REST, GraphQL, SOAP (tells you their integration philosophy)
• Payment provider detection — Stripe, Square, Adyen, Braintree (opportunity mapping)
• Real-time analysis — no caching; every scan gets current technology data
• 95%+ accuracy — peer-reviewed detection against 10,000+ known SaaS platforms

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Fresh data. Zero guesswork. Be the first to know.

📧 Email alerts · 🔗 Webhook triggers · 🤖 MCP compatible · 📡 API access

Built by Creator Fusion — OSINT tools that actually work.