Tech Stack Detection: The Sales Intelligence Secret Weapon

#api #saas #tutorial #webdev

Every B2B sales team researches prospects manually. They Google the company, check LinkedIn, browse the website. What if you could detect a company's entire tech stack in one API call?

What is Tech Stack Detection?

Tech stack detection analyzes a website and identifies every technology it uses — frameworks, analytics, CDNs, payment processors, CRMs, and more.

# Detect the tech stack of any website
curl "https://api.lazy-mac.com/tech-stack/detect?url=https://stripe.com"

Response:

{
  "url": "https://stripe.com",
  "technologies": [
    {"name": "React", "category": "JavaScript Framework"},
    {"name": "Next.js", "category": "Web Framework"},
    {"name": "Cloudflare", "category": "CDN"},
    {"name": "Segment", "category": "Analytics"},
    {"name": "Marketo", "category": "Marketing Automation"}
  ],
  "confidence": 0.94
}

Why Sales Teams Care

1. Qualify Leads Instantly

A company using Segment, Mixpanel, and HubSpot is likely a well-funded SaaS. A company with just WordPress and Google Analytics is probably a small business.

import requests

def qualify_lead(website_url: str) -> str:
    resp = requests.get("https://api.lazy-mac.com/tech-stack/detect", params={
        "url": website_url
    })
    stack = resp.json()

    premium_tools = ["Segment", "Salesforce", "Marketo", "Snowflake", "Datadog"]
    matches = [t for t in stack["technologies"] if t["name"] in premium_tools]

    if len(matches) >= 3:
        return "enterprise"
    elif len(matches) >= 1:
        return "mid-market"
    return "smb"

tier = qualify_lead("https://example.com")
print(f"Lead tier: {tier}")

2. Personalize Outreach

Knowing a prospect uses React + AWS tells you they are technical. Knowing they use Shopify + Mailchimp tells you they are marketing-focused.

3. Competitive Intelligence

Find companies using your competitor's product and pitch your alternative.

# Find what CRM a company uses
curl "https://api.lazy-mac.com/tech-stack/detect?url=https://target.com&category=CRM"

Integration Examples

Node.js — Enrich CRM Leads

const enrichLead = async (websiteUrl) => {
  const resp = await fetch(
    `https://api.lazy-mac.com/tech-stack/detect?url=${encodeURIComponent(websiteUrl)}`
  );
  const data = await resp.json();

  return {
    technologies: data.technologies.map(t => t.name),
    categories: [...new Set(data.technologies.map(t => t.category))],
    techScore: data.technologies.length,
    hasAnalytics: data.technologies.some(t => t.category === 'Analytics'),
    hasCRM: data.technologies.some(t => t.category === 'CRM')
  };
};

// Bulk enrich your lead list
const leads = ['https://company1.com', 'https://company2.com'];
const enriched = await Promise.all(leads.map(enrichLead));

Python — Batch Processing

import requests
from concurrent.futures import ThreadPoolExecutor

def detect_stack(url):
    try:
        resp = requests.get("https://api.lazy-mac.com/tech-stack/detect",
                          params={"url": url}, timeout=30)
        return {"url": url, "stack": resp.json()}
    except requests.RequestException as e:
        return {"url": url, "error": str(e)}

urls = ["https://stripe.com", "https://shopify.com", "https://linear.app"]

with ThreadPoolExecutor(max_workers=5) as pool:
    results = list(pool.map(detect_stack, urls))

for r in results:
    if "stack" in r:
        techs = [t["name"] for t in r["stack"]["technologies"]]
        print(f"{r['url']}: {', '.join(techs[:5])}")