/ writing / sales
What stack are they running? What are they hiring for?
You're evaluating a competitor, a prospect, or an acquisition target. You need to know: what's their tech stack? What engineers are they hiring? What does that tell you about their architecture, scaling challenges, and strategic direction?
You could manually check BuiltWith, Wappalyzer, their careers page, LinkedIn job posts... or you could run Company Tech Stack & Hiring Intelligence once and get structured intelligence.
Three modes
| Mode | Input | Output |
|---|---|---|
techStack | Company domains/URLs | 200+ technologies detected from HTML, headers, JS bundles, DNS, SSL certs. Categories: frontend, backend, cloud, database, analytics, marketing, payment, security, devops, AI/ML, CDN, monitoring, testing, mobile, CRM. |
hiringSignals | Company domains/URLs | Job postings from career pages + ATS boards (Greenhouse, Lever, Ashby, Workable, etc.) with extracted tech requirements, hiring velocity, role seniority. |
competitorLandscape | Industry + stage filters | Discovers companies from YC, BuiltIn, WelcomeToTheJungle, etc., then runs techStack + hiringSignals on each. |
Technology detection (200+ signatures)
Each detection includes category, confidence score (0-1), and evidence (HTML pattern, header, DNS record, JS import). Categories:
- Frontend: React, Next.js, Vue, Nuxt, Svelte, Astro, Remix, Gatsby, Angular, Alpine, HTMX, Livewire
- Backend: Node.js, Python, Go, Ruby, PHP, Java, Elixir, Rust, .NET — plus frameworks (Express, Fastify, NestJS, Django, Flask, FastAPI, Rails, Spring, Laravel, Phoenix, Actix, Gin)
- Cloud: AWS, GCP, Azure, Vercel, Netlify, Cloudflare, DigitalOcean, Heroku, Railway, Render, Fly.io
- Databases: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, DynamoDB, Cassandra, CockroachDB, TimescaleDB, PlanetScale, Supabase, Neon, Firebase
- Analytics: GA4, GTM, Segment, Mixpanel, Amplitude, Heap, Hotjar, FullStory, PostHog, Plausible, Matomo
- Marketing/CRM: HubSpot, Intercom, Drift, Zendesk, Salesforce, Marketo, Pardot, Braze, Customer.io
- Payments: Stripe, PayPal, Braintree, Adyen, Square
- Security: Sentry, Datadog, New Relic, LogRocket, Bugsnag, Rollbar, Honeybadger, reCAPTCHA, hCaptcha, Cloudflare WAF, Auth0, Clerk, Firebase Auth, NextAuth, Lucia
- DevOps: Docker, Kubernetes, Terraform, Ansible, GitHub Actions, GitLab CI, CircleCI, Jenkins, ArgoCD, Flux, Helm, Prometheus, Grafana
- AI/ML: OpenAI, Anthropic, LangChain, LlamaIndex, Hugging Face, Pinecone, Weaviate, Qdrant, Milvus, W&B
- CDN/Edge: Cloudflare, CloudFront, Fastly, Akamai, Bunny.net, KeyCDN
- Monitoring: Sentry, Datadog, New Relic, Honeycomb, Grafana Cloud, PagerDuty, Opsgenie
- Testing: Jest, Vitest, Cypress, Playwright, Puppeteer, Testing Library, Storybook
- Mobile: React Native, Flutter, Swift, Kotlin, Expo, Capacitor, Ionic
Input
{
"mode": "techStack",
"companies": ["stripe.com", "vercel.com", "linear.app"],
"techCategories": ["frontend", "backend", "cloud", "analytics", "devops", "payment", "security"],
"includeHiringData": true,
"jobSources": ["career-page", "greenhouse", "lever", "ashby"],
"deepScan": true,
"includeConfidence": true
}
Output (per technology, outputFormat: "technology")
{
"mode": "techStack",
"company": "Stripe",
"domain": "stripe.com",
"technology": "React",
"category": "frontend",
"confidence": 0.95,
"evidence": ["HTML: __REACT_DEVTOOLS_GLOBAL_HOOK__", "HTML: react.production.min.js"],
"version": "18.2.0",
"firstDetected": "2024-01-15",
"lastDetected": "2026-07-28",
"fetchedAt": "2026-07-28T10:00:00Z"
}
Hiring intelligence (outputFormat: "job")
{
"mode": "hiringSignals",
"company": "Vercel",
"jobTitle": "Senior Software Engineer, Platform",
"jobUrl": "https://vercel.com/careers/eng-123",
"jobDescription": "Build the next generation of Vercel's deployment platform...",
"techRequirements": ["TypeScript", "Go", "Rust", "Kubernetes", "gRPC", "PostgreSQL", "Redis", "GraphQL"],
"hiringVelocity": 3.2,
"fetchedAt": "2026-07-28T10:00:00Z"
}
What the signals tell you
| Signal | Implies |
|---|---|
| React + Next.js + Vercel | Modern frontend, edge-first, serverless functions |
| Go + Rust + Kubernetes + gRPC | High-throughput backend, microservices, performance-critical |
| Hiring: React, TypeScript, GraphQL | Frontend-heavy product, likely building complex UIs |
| Hiring: Rust, distributed systems, eBPF | Infrastructure/tooling company, systems-level work |
| Stripe + Vercel + Segment + PostHog | PLG SaaS, product analytics, self-serve billing |
| Salesforce + Marketo + HubSpot + Outreach | Enterprise sales motion, heavy outbound |
| Sentry + Datadog + PagerDuty + Honeycomb | Mature observability, on-call culture |
| Cloudflare Workers + D1 + R2 + D1 | Edge-native, serverless-first architecture |
Use cases
- Competitive intelligence — "What stack is Linear using? What are they hiring for?" → techStack + hiringSignals.
- Sales targeting — "Find all fintechs using Plaid + AWS + hiring Go engineers" → competitorLandscape + filters.
- Technical due diligence — acquisition target stack audit, hiring velocity as growth proxy.
- Recruiting — "Which companies use our stack and are hiring?" → reverse lookup.
- Market mapping — "All AI companies in Series A using Python + PyTorch + Kubernetes" → competitorLandscape.
Why not BuiltWith / Wappalyzer?
- No rate limits — runs on your Apify schedule, unlimited.
- Hiring data included — job postings with extracted tech requirements, not just static detection.
- Confidence scores — evidence-based, not binary yes/no.
- Extensible — add custom signatures in the code, re-deploy.
- Webhook ready — push changes to Slack, pipeline, CRM.
Try it: Company Tech Stack & Hiring Intelligence on Apify — 200+ tech signatures, job extraction, competitor discovery.