40,000+
Technologies detected
50M+
Domains monitored
20+ years
Historical data
95%+
Detection accuracy
Built for sales, GTM, and market analysis teams
- The difference
- Sales workflows
- Who uses it
Most technology detection tools are built for developers. They’re browser extensions that show what JavaScript framework a site uses. TechnologyChecker is different: it’s a revenue and market intelligence platform for sales workflows, GTM campaign targeting, and market analysis.
| Capability | Developer tools | TechnologyChecker |
|---|---|---|
| Technology detection | Frontend only | Full-stack (frontend + backend + standalone) |
| Subscriber/churn signals | Not available | Real-time detection with alerts |
| Contact data | Not included | Verified decision-maker emails |
| Custom audience exports | Not available | LinkedIn, Facebook, Google Ads |
| Company + people data | Not available | Both per technology |
| Historical data | Current state only | 20 years of adoption data |
| ICP analysis | Not available | Pattern analysis from historical data |
| CRM integration | Not available | Native Salesforce, HubSpot, Pipedrive |
| Bulk operations | Limited | Up to 100K domains |
Real-time subscriber and churn signals
See exactly when companies start or stop using any technology. Not a static snapshot. Live adoption and churn signals that reveal buying windows as they open.- Subscriber signals
- Churn signals
- Why this matters
Detect when a company starts using a technology:
- Real-time adoption detection across 50M+ domains
- Timestamp of first detection
- Signal confidence scoring
- Trend analysis: is this technology gaining or losing market share?
- Bulk subscription data across industries and segments
Subscriber and churn signals turn static technology data into buying intelligence you can act on. Instead of a snapshot of what companies use today, you see the movement: who’s adopting, who’s leaving, who’s switching.
Company + contact data per technology
Knowing that 5,000 companies use Stripe isn’t enough. You need to know which companies, which employees, and which decision-makers, with verified emails for each one.- Company data
- Contact data
- Custom audience exports
- Competitive context
For each technology, you get a full list of companies using it:
- Company firmographics: size, industry, location, revenue range, funding status
- Technology adoption date (when they started using it)
- Full tech stack context (what else they use alongside it)
- Segmentation by company size, industry, geography
Historical data for ICP analysis and market intelligence
Twenty years of technology adoption patterns. Use them to build data-driven ICP profiles, predict buying behavior, and analyze market shifts. HG Insights charges 89/month.- ICP pattern analysis
- Market intelligence
- Why this matters
- Identify common technology patterns among your best customers (e.g., “Our highest-LTV customers use Stripe + Segment + a headless CMS”)
- Build technology-based ICP scoring models
- Find “tech stack signals” that predict conversion likelihood
- Analyze which technologies correlate with company growth stages
- Segment prospects by technology maturity level
40,000+ technologies across 50M+ domains
The deepest technology dataset at this price point. 5x more coverage than Wappalyzer.Frontend
React, Vue, Next.js, Angular, WordPress, Webflow, and thousands more JavaScript frameworks, CMS platforms, and CSS tools.
Backend
n8n, Node.js, Django, Rails, Laravel, databases, custom APIs, and server-side infrastructure invisible to browser-based tools.
Standalone platforms
Airtable, Notion, Zapier, Make, Monday.com. platforms detected through , API fingerprints, and infrastructure signals.
Marketing and sales
HubSpot, Salesforce, Marketo, Intercom, Drift, and the full spectrum of marketing automation and CRM tools.
Infrastructure
AWS, Google Cloud, Cloudflare, CDNs, hosting providers, and cloud platform configurations.
Analytics and payments
Google Analytics, Segment, Mixpanel, Stripe, PayPal, Braintree, and tracking, analytics, and payment processing tools.
HR and operations
Workday, BambooHR, Gusto, Rippling — HR platforms and operations tools detected via infrastructure signals.
Project management
Asana, ClickUp, Linear, Jira — project management platforms with external-facing components.
More technologies detected means fewer blind spots in prospect tech stacks. A company using Airtable + n8n signals they’re building custom operations workflows. Frontend-only tools miss this completely.
Full-stack detection
Browser extensions can only see what’s in the page source. TechnologyChecker also detects backend infrastructure and standalone tools that signal real buying intent.- How it works
- Backend detection
- Standalone platforms
TechnologyChecker uses multi-signal fingerprinting to detect technologies across all layers:
Every detection includes a confidence score so you know how reliable each signal is.
| Detection method | What it finds |
|---|---|
| Headless JS rendering | Frontend frameworks, tag managers, A/B testing tools |
| HTTP header analysis | Server frameworks, CDNs, security tools |
| fingerprinting | Cloud providers, standalone SaaS platforms, email services |
| Asset fingerprinting | JavaScript libraries, CSS frameworks, font providers |
| Infrastructure probing | Backend frameworks, databases, API gateways |
20-year historical data + live monitoring
Two decades of adoption patterns merged with real-time monitoring. Use them to predict churn and spot buying windows.Historical intelligence (20 years)
Analyze long-term technology adoption patterns:
- Technology adoption and removal timelines across millions of domains
- Migration patterns: which tools companies switch between
- by company size, industry, and geography
- Technology lifespan and replacement cycles
- Competitive market share changes over time
- ICP pattern analysis: which technology combinations correlate with your best customers
Live monitoring (real-time)
Track what’s happening right now:
- Current tech stack snapshots with confidence scores
- New subscriber detection: know the moment a company adopts a technology
- Churn detection: know the moment a company drops a technology
- Replacement technology tracking: see what they switched to
- Stack change timestamps for precise outreach timing
Combined insights
Historical context + live data = predictions you can act on:
- Predict churn: Identify patterns that precede technology switches
- Spot : Know when companies typically evaluate alternatives
- Build ICP models: Use 20 years of what-companies-use-what patterns
- Track competitive movements: See which technologies are gaining or losing share
- Inform market research: Longitudinal adoption data for analysts and investors
- Optimize outreach timing: Reach prospects during active evaluation periods
Real-time churn and adoption alerts
Get notified the moment prospects subscribe to or drop any technology. Every technology change is a potential revenue opportunity.Subscriber alerts (new adoption)
Subscriber alerts (new adoption)
Get notified when target accounts start using new technologies, including backend tools and standalone platforms that browser-based tools miss.Example: “Alert me when prospects adopt Stripe.” Identifies companies investing in payment infrastructure.Use case: Sell complementary products to companies actively building their stack.
Churn alerts (technology removal)
Churn alerts (technology removal)
Monitor when companies stop using technologies. Identify frustration signals and displacement opportunities before competitors notice.Example: “Alert me when companies drop Intercom.” Identifies companies actively seeking alternatives.Use case: Reach out with your alternative during the active evaluation window (typically 30-60 days).
Replacement detection alerts
Replacement detection alerts
Track when companies switch from one technology to another. See competitive displacement as it happens.Example: “Alert me when companies switch from Intercom to Zendesk.” Monitor competitive movements as they happen.Use case: Intervene during active technology evaluations with targeted messaging.
Competitive displacement alerts
Competitive displacement alerts
Track when prospects adopt your competitors’ tools so you can intervene early.Example: “Alert me when target accounts adopt Marketo.” Engage before they fully commit.Use case: Competitive selling during active evaluation windows.
Customer churn signals
Customer churn signals
Monitor your existing customers for signs they’re evaluating competitors.Example: “Alert me when my customers add BambooHR.” Catch at-risk accounts before renewal.Use case: Proactive retention outreach based on real technology signals.
- Technology change details (subscribe, churn, or switch)
- Verified contact data for decision-makers
- Company firmographics (size, industry, location)
- Historical context (how common is this change? what typically follows?)
- Recommended next actions
Verified decision-maker contacts + company data
Technology signals don’t help if you can’t reach the right person. Every technology signal comes with both company-level and contact-level data.Contact verification
- Email deliverability testing
- Bounce rate monitoring
- Data freshness indicators
- Confidence scoring
- Last verified timestamps
Role targeting
- C-level executives (CTO, CIO, CMO, VP Engineering)
- Department heads (Head of Product, Head of Growth)
- Technical decision-makers (Engineering Managers, DevOps)
- Business decision-makers (Sales Ops, Operations)
| Data point | Description |
|---|---|
| Verified email | Deliverability-confirmed work email |
| LinkedIn profile | Direct link to professional profile |
| Role and department | Decision-maker matching by function |
| Firmographics | Company size, industry, location |
| Social links | Additional professional profiles |
| Custom audience export | Formatted for LinkedIn, Facebook, Google Ads |
Enterprise-grade platform
Built for B2B sales and GTM workflows with bulk enrichment, API access, CRM automation, and custom audience exports. This isn’t a browser extension.- Bulk operations
- API access
- CRM automation
- Data export
- Security and compliance
- Upload up to 100,000 domains for enrichment
- Get full tech profiles + verified contacts
- CSV/XLSX import and export
- Batch processing with progress tracking
- Queued processing for large jobs
How we compare
- vs. Wappalyzer
- vs. BuiltWith
- vs. 6sense
- vs. HG Insights
- vs. TheirStack
- vs. Bloomberry
| Capability | TechnologyChecker | Wappalyzer |
|---|---|---|
| Technologies | 40,000+ | ~8,000 |
| Domains | 50M+ | Not disclosed |
| Full-stack detection | Frontend, backend, standalone | Frontend only |
| Subscriber/churn signals | Real-time detection | Not available |
| Historical data | 20 years + live | Current state only |
| Verified contacts | At $89/month | At $450/month |
| Company + contact data per tech | Both company and people data | Partial (contacts are separate) |
| Custom audience exports | LinkedIn, Facebook, Google Ads | Not available |
| Bulk enrichment | Up to 100K domains | Limited |
| CRM integration | Salesforce, HubSpot, Pipedrive | Not at Pro tier |
| Entry pricing | $89/month | $250/month |
Related pages
Use cases
See how sales, GTM, market analyst, and developer teams use TechnologyChecker.
Technologies
Browse the full catalog of 40,000+ tracked technologies.
Detailed comparison
Full feature matrix comparing TechnologyChecker with all major alternatives.
API reference
Full REST API documentation with interactive examples.
Frequently asked questions
What does full-stack detection mean?
What does full-stack detection mean?
It means detecting technologies across all layers: frontend frameworks visible in the browser, backend infrastructure (via HTTP headers and DNS fingerprinting), and standalone SaaS platforms (via API and infrastructure signals). Browser-only tools like Wappalyzer miss backend and standalone technologies entirely. See full-stack detection for details.
What are subscriber and churn signals?
What are subscriber and churn signals?
Subscriber signals detect when a company starts using a new technology. Churn signals detect when a company stops using a technology. Both are delivered in real-time with verified contacts and company data, enabling your team to act during active buying windows. See real-time signals for details.
Can I export contacts for ad targeting?
Can I export contacts for ad targeting?
Yes. You can export verified email lists segmented by technology usage, company size, industry, geography, and contact role. These exports are formatted for LinkedIn Matched Audiences, Facebook Custom Audiences, and Google Customer Match. See custom audience exports for details.
How does TechnologyChecker compare to Wappalyzer?
How does TechnologyChecker compare to Wappalyzer?
TechnologyChecker detects 40,000+ technologies (vs ~8,000 for Wappalyzer) across frontend, backend, and standalone platforms. It includes real-time subscriber/churn signals, verified contacts at 450/month for Wappalyzer), custom audience exports, 20-year historical data, and CRM integrations. Wappalyzer doesn’t offer these at any price tier, though it does have 2.5M+ browser extension users and strong market trust built over 18 years. See the full comparison.
How does TechnologyChecker compare to enterprise tools like HG Insights and 6sense?
How does TechnologyChecker compare to enterprise tools like HG Insights and 6sense?
HG Insights (25K+/year) serve Fortune 100 companies with deep enterprise features. TechnologyChecker provides the core technology intelligence (real-time signals, contacts, historical data, and custom audiences) at $89/month for SMB and mid-market teams. See the full comparison.