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What It Does

  • Reveals detected technologies used by a company (e.g., Salesforce, HubSpot, Segment)
  • Pulls stack data by domain — no need to scrape, guess, or buy outdated lists
  • Filters by timeframe — see recently detected vs. long-standing tools
  • Limits results via dropdown — up to 10,000 technologies per company
  • Appends one row per tech — your original data stays untouched
  • Auto-resolves column conflicts — like tech_title_1 if needed

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🏁 Getting Started

Get Company Technologies config
1

Add the Node

Drop Get Company Technologies into your workflow.
2

Enter the Domain

Map or enter a domain (e.g. nrev.ai) — or use @domain to reference from earlier.
3

Set Timeframe and Limit

Filter by last seen: Last month, 3 months, 6 months, or 1 year.
Pick a result limit — up to 10,000 per company.
4

Run the Node

Each detected technology becomes its own row, appended to your input data.

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Inputs

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🛠️ Required Fields

  • Company Domain (✅)
    A valid domain like nrev.ai. Use @domain to map dynamically.
    Why it matters: This is how we identify each company’s tech stack.
  • Last Detected After (✅)
    Timeframe selector:
    • Last month
    • Last 3 months
    • Last 6 months
    • Last year
  • Limit (✅)
    Choose how many tech rows to return per company:
    100, 200, 500, 1000, 2000, 5000, 10000
All fields are dropdown-based — no typos, no invalid values.

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Output

Each row contains a technology detected for a given domain, along with the original data.

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🔹 Returned Fields

  • tech_title – Technology name (e.g. Segment)
  • tech_url – Info link for the detected tech
  • first_seen_at – Date the tech was first detected
  • last_seen_at – Most recent detection date
Tech stack enrichment output example

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How It Works

  1. Takes your domain(s) and time filters
  2. Queries enrichment vendor (PredictLeads)
  3. Returns one row per tech tool
  4. Preserves your existing fields and columns
  5. Handles conflicts with suffixes (tech_title_1, etc.)

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🚀 Example Use Cases

Use CasePrompt or Setup
Personalize outreach”Target companies using Segment + HubSpot”
Stack-fit scoring”Prioritize leads using ZoomInfo + G2 + SFDC”
Segment by stack”Group accounts using Snowflake or dbt”
Run competitor audits”See what tools your top rivals are using”

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✨ Pro Tips

Use @domain to enrich per row — great for SDRs and GTM automation.
Tech fields like tech_title may conflict with your schema — we auto-suffix them to avoid breaking downstream nodes.
Pair this with Search People to pull contacts at tech-matched companies, or CSV Write to share filtered lists with AEs or partners.

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⚠️ Considerations & Gotchas

You’ll get one row per technology — large stacks = lots of rows.
Blank or invalid domains are skipped — your play won’t fail.
Column name conflicts are auto-suffixed (e.g. tech_url_1) — clean up with Rename Column if needed.

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🛠 Troubleshooting

SymptomCauseQuick Fix
Blank rowsDomain missing or no techs detectedCheck mapping and adjust your timeframe
Too many rowsOne row per tech is expectedUse filters or group downstream
Unexpected column namesConflict resolved by suffixRename columns after run if needed

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📝 FAQ

We use PredictLeads as the current vendor. More sources coming soon.
Nope! Use @domain to reference from upstream inputs like Enrich Company.
You control that with the Last Detected dropdown — up to 1 year ago.
No — enrichment is only charged when valid results are returned.

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💰 Pricing

ActionCredit Cost
Per page fetched2 credits × number of pages (1000 rows/page)
Example: No techs = no charge.

Peek under the hood of any company. Whether you’re qualifying leads or building TAM lists, Get Company Technologies helps GTM teams move smarter. 🔍💼