Tech Stack

Identify which technologies companies use, when they adopted them, and how confident the detection is — enabling competitive displacement, complementary selling, and stack-aware outreach.

Unlike other Autobound signal types, tech stack data is delivered as raw technographic records rather than pre-processed insights. Each delivery contains the full current snapshot of all detected technologies across all tracked companies.

Competitive displacement — Know when prospects use a competitor's solution
Recent evaluations — Recent first_seen_at dates mean the category was just evaluated — good time to engage
Complementary selling — Identify companies using technologies that integrate with yours
Stack modernization — Track when companies upgrade or migrate platforms

Data Model

Each delivery contains two file types:

Technology Detections (`output.*.jsonl`)

Each line is a JSON:API record representing one technology detection at one company.

Detection Attributes

Field	Type	Description
`id`	string (UUID)	Unique detection identifier
`type`	string	Always `"technology_detection"`
`attributes.first_seen_at`	ISO 8601 timestamp	When the technology was first detected at this company
`attributes.last_seen_at`	ISO 8601 timestamp	Most recent detection timestamp
`attributes.behind_firewall`	boolean	Whether the technology was detected behind a firewall (e.g., via job postings rather than public web)
`attributes.score`	float (0–1)	Detection confidence score
`attributes.source_count`	integer	Number of independent detection sources
`attributes.department_onet_codes`	string[]	O*NET occupation codes for departments where the tech is used (from job postings)
`attributes.location_data`	object[]	Locations where usage was detected — each with `city`, `state`, `country`

Relationships

Relationship	Type	Description
`technology`	`technology`	The detected technology (resolved in `included[]`)
`company`	`company`	The company where it was detected (resolved in `included[]`)
`seen_on_subpages`	`detection_on_subpage[]`	Website pages where the technology was found
`seen_on_job_openings`	`job_opening[]`	Job postings that mention the technology
`seen_on_dns_records`	`detection_on_dns_record[]`	DNS records indicating the technology
`seen_on_connection`	`connection`	Network connection–based detection
`competitive_technology_detections`	`technology_detection[]`	Other detections of competing technologies at the same company

Included Objects

Each record's included[] array resolves the relationships above:

Technology:

Field	Type	Description
`id`	string (UUID)	Technology identifier
`attributes.name`	string	Technology name (e.g., "HubSpot", "Salesforce", "React")

Company:

Field	Type	Description
`id`	string (UUID)	Company identifier
`attributes.domain`	string	Company website domain
`attributes.company_name`	string	Company display name
`attributes.ticker`	string \| null	Stock ticker symbol, if public

Detection on Subpage:

Field	Type	Description
`id`	string (UUID)	Subpage detection identifier
`attributes.first_seen_at`	ISO 8601 timestamp	When the tech was first seen on this page
`attributes.last_seen_at`	ISO 8601 timestamp	Most recent detection on this page
`attributes.subpage_url`	string	Full URL of the page

Job Opening:

Field	Type	Description
`id`	string (UUID)	Job opening identifier
`attributes.url`	string	URL of the job posting
`attributes.first_seen_at`	ISO 8601 timestamp	When the job posting was first indexed
`attributes.last_seen_at`	ISO 8601 timestamp	Most recent indexing of the posting

Technology Reference (`join-technologies.jsonl`)

A companion file containing metadata for every tracked technology. Use this to enrich detection records with descriptions, categories, and pricing data.

Field	Type	Description
`id`	string (UUID)	Technology identifier (matches `technology` relationship in detections)
`attributes.name`	string	Technology name
`attributes.description`	string	What the technology does
`attributes.categories`	string[]	Technology categories (e.g., `["crm", "marketing_automation"]`)
`attributes.parent_categories`	string[]	High-level category grouping (e.g., `["sales_and_marketing"]`)
`attributes.domain`	string	Technology vendor's domain
`attributes.url`	string	Technology vendor's URL
`attributes.pricing_data.min_usd`	float \| null	Minimum known annual cost
`attributes.pricing_data.max_usd`	float \| null	Maximum known annual cost
`attributes.pricing_data.average_spend`	float \| null	Average annual spend
`attributes.pricing_data.interval`	string \| null	Pricing interval (e.g., `"yearly"`)
`attributes.pricing_data.tags`	string[]	Pricing tags (e.g., `["enterprise", "recurring", "freemium"]`)
`attributes.created_at`	ISO 8601 timestamp	When the technology was first catalogued
`relationships.company`	company \| null	The company that makes this technology

Full JSON Examples

Technology Detection — Website Script (High Confidence)

{
  "data": [
    {
      "id": "00000000-9825-4341-8039-fe3efe7d06fa",
      "type": "technology_detection",
      "attributes": {
        "first_seen_at": "2025-03-27T03:36:34Z",
        "last_seen_at": "2026-04-11T00:23:14Z",
        "behind_firewall": false,
        "score": 0.99,
        "source_count": 7,
        "department_onet_codes": [],
        "location_data": []
      },
      "relationships": {
        "technology": {
          "data": { "id": "102d4086-3e4b-53bc-8328-600c0cde49dd", "type": "technology" }
        },
        "company": {
          "data": { "id": "c9fb29a0-7042-5f95-a043-5474a30cf33f", "type": "company" }
        },
        "seen_on_subpages": {
          "data": [
            { "id": "5d6808a3-fe25-4b74-ae6b-75a013321ca5", "type": "detection_on_subpage" },
            { "id": "fd60853c-6564-4880-9643-8db0bdb8e424", "type": "detection_on_subpage" },
            { "id": "b35e6835-dc78-4729-a76f-a6f2d9d5edcf", "type": "detection_on_subpage" }
          ]
        },
        "seen_on_job_openings": { "data": [] },
        "seen_on_dns_records": { "data": [] },
        "seen_on_connection": { "data": null },
        "competitive_technology_detections": { "data": [], "meta": { "max_source_count": 0 } }
      }
    }
  ],
  "included": [
    {
      "id": "102d4086-3e4b-53bc-8328-600c0cde49dd",
      "type": "technology",
      "attributes": { "name": "All in One SEO" }
    },
    {
      "id": "c9fb29a0-7042-5f95-a043-5474a30cf33f",
      "type": "company",
      "attributes": {
        "domain": "patientprioritiescare.org",
        "company_name": "Patient Priorities Care",
        "ticker": null
      }
    },
    {
      "id": "5d6808a3-fe25-4b74-ae6b-75a013321ca5",
      "type": "detection_on_subpage",
      "attributes": {
        "first_seen_at": "2025-04-05T06:22:11Z",
        "last_seen_at": "2026-04-11T00:23:14Z",
        "subpage_url": "https://patientprioritiescare.org/contact-us"
      }
    },
    {
      "id": "fd60853c-6564-4880-9643-8db0bdb8e424",
      "type": "detection_on_subpage",
      "attributes": {
        "first_seen_at": "2025-05-26T08:20:33Z",
        "last_seen_at": "2026-04-06T17:04:46Z",
        "subpage_url": "https://patientprioritiescare.org"
      }
    }
  ]
}

Technology Detection — Job Posting (Behind Firewall)

{
  "data": [
    {
      "id": "0000007f-d18c-42c3-8610-074518323f09",
      "type": "technology_detection",
      "attributes": {
        "first_seen_at": "2024-08-28T02:14:36Z",
        "last_seen_at": "2024-10-21T03:57:21Z",
        "behind_firewall": true,
        "score": 0.39,
        "source_count": 2,
        "department_onet_codes": ["17-3024.00"],
        "location_data": [
          { "city": "Raritan", "state": "New Jersey", "country": "United States" },
          { "city": "Jersey City", "state": "New Jersey", "country": "United States" }
        ]
      },
      "relationships": {
        "technology": {
          "data": { "id": "b0b57197-55ae-431a-94ca-131c321010ab", "type": "technology" }
        },
        "company": {
          "data": { "id": "c2c340f4-062b-5cd5-9f99-2b26a7932851", "type": "company" }
        },
        "seen_on_subpages": { "data": [] },
        "seen_on_job_openings": {
          "data": [
            { "id": "8df63293-4e19-4207-af86-beca1477d345", "type": "job_opening" },
            { "id": "1450ff48-67a0-4607-88f8-c94205d52cfa", "type": "job_opening" }
          ]
        },
        "seen_on_dns_records": { "data": [] },
        "seen_on_connection": { "data": null },
        "competitive_technology_detections": { "data": [], "meta": { "max_source_count": 0 } }
      }
    }
  ],
  "included": [
    {
      "id": "b0b57197-55ae-431a-94ca-131c321010ab",
      "type": "technology",
      "attributes": { "name": "Regular Expression" }
    },
    {
      "id": "c2c340f4-062b-5cd5-9f99-2b26a7932851",
      "type": "company",
      "attributes": {
        "domain": "thedignify.com",
        "company_name": "The Dignify Solutions, LLC",
        "ticker": null
      }
    },
    {
      "id": "8df63293-4e19-4207-af86-beca1477d345",
      "type": "job_opening",
      "attributes": {
        "url": "https://www.linkedin.com/jobs/view/wiremock-lead-tester-remote-at-the-dignify-solutions-llc-4008562108",
        "first_seen_at": "2024-09-21T03:20:37Z",
        "last_seen_at": "2024-10-21T03:57:21Z"
      }
    },
    {
      "id": "1450ff48-67a0-4607-88f8-c94205d52cfa",
      "type": "job_opening",
      "attributes": {
        "url": "https://www.linkedin.com/jobs/view/wiremock-tester-full-time-remote-at-the-dignify-solutions-llc-4008560704",
        "first_seen_at": "2024-08-28T02:14:36Z",
        "last_seen_at": "2024-10-21T03:57:21Z"
      }
    }
  ]
}

Technology Reference Entry

{
  "data": [
    {
      "id": "0001247a-497c-5293-b9a3-4187d2a706fc",
      "type": "technology",
      "attributes": {
        "name": "Symplicity",
        "description": "Symplicity is a global student experience company providing platforms to over 2,000 colleges and universities for managing career services, student conduct, and accommodations.",
        "categories": ["applicant_tracking_systems", "education_management", "human_resources"],
        "parent_categories": ["human_resources"],
        "domain": "symplicity.com",
        "url": "https://www.symplicity.com",
        "pricing_data": {
          "min_usd": 3980.0,
          "max_usd": 10200.0,
          "average_spend": 7090.0,
          "interval": "yearly",
          "tags": ["enterprise", "mid", "recurring"]
        },
        "created_at": "2023-03-21T14:36:34Z"
      },
      "relationships": {
        "company": {
          "data": { "id": "67fd856f-53fe-5340-9600-c1b00f83f956", "type": "company" }
        }
      }
    }
  ],
  "included": [
    {
      "id": "67fd856f-53fe-5340-9600-c1b00f83f956",
      "type": "company",
      "attributes": {
        "domain": "symplicity.com",
        "company_name": "Symplicity Corporation",
        "ticker": null
      }
    }
  ]
}

Sample Outreach

"Noticed your team at Acme recently started using HubSpot — always a big undertaking. A month in, teams often realize what's missing. If the transition surfaced any gaps around [your value prop], happy to share how others have handled it."

"Saw you're running Outreach for sales engagement. We integrate natively and help teams like yours [specific value]. Quick to set up if you want to see it in action."

Detection Methods

We detect technology usage through:

Website script analysis — JavaScript tags, tracking pixels, and library fingerprints found on company web pages
DNS records — CNAME, MX, TXT, and other DNS entries that indicate technology providers
Job posting analysis — Technology requirements mentioned in job listings, with department (O*NET codes) and location data
Network connection analysis — API endpoint and integration traffic patterns

Coverage & Refresh

Refresh: Weekly (full snapshot each delivery)
Total technology detections: 1.25 billion+
Companies covered: 83 million+
Tracked technologies: 53,000+ (with descriptions, categories, and pricing data)
Historical depth: Detections dating back to 2018
Best for: Competitive sales teams, technology vendors, integration partners

Note: Each weekly delivery contains the complete dataset (not just new detections). Filter by last_seen_at to scope to your desired freshness window — e.g., records seen within the last 90 days represent ~63% of the dataset.

Contact [email protected] to get started.