Build a list of companies using a specific tech stack
A Claude prompt that returns verified companies using a specific tool, platform, or technology — paired with the right buyer contacts inside each. The Lusha connector handles the technographic search and contact validation, Claude formats and ranks. Paste, name the tech, and run.
Once Lusha is connected in Claude, the connector runs in the background — no special syntax needed. Just paste the prompt and run.
Images on this webpage are for illustrative purposes only. Any named individuals shown in live demo outputs are real, with last names abbreviated for privacy.
The prompt
<context>
I want to find companies using [TECHNOLOGY / TOOL / PLATFORM] so I can sell [PRODUCT] into their stack.
</context>
<task>
1. Use Lusha's company search to find companies matching:
- Tech or platform: [TECH / TOOL]
- Industry: [INDUSTRY, optional]
- Headcount: [RANGE]
- Geography: [REGION]
2. For each company, find contacts in:
- [TITLE FAMILY 1, e.g. IT leaders]
- [TITLE FAMILY 2, e.g. RevOps]
- [TITLE FAMILY 3, e.g. Sales leadership]
3. Enrich each contact with verified email and direct dial.
4. Return a table:
Company | Tech in use | Contact | Title | Email | Direct dial
5. Order by company headcount descending.
</task>
<constraints>
- Only include contacts with a validated email.
- Skip companies where Lusha cannot confirm the tech.
- Limit to 25 companies and up to 3 contacts per company.
</constraints>
What you'll get back
Input: Tech — Salesforce · Industry — B2B SaaS (Software Development) · Headcount — 501–5,000 · Geography — United States · Titles — RevOps, Revenue Operations, Sales Operations, VP Sales.
Output: 657 matching companies returned, 188 matching contacts identified across the first batch. Below is a real slice of the live result — five named contacts at Datadog and Notion, both confirmed Salesforce users, all with validated work emails and direct dials.
| Contact | Title | Company | Validated email | Direct dial |
|---|---|---|---|---|
| Tori M. | Global Head of Revenue Operations | Notion | ✓ | ✓ |
| Namrata R. | Head of Revenue Strategy and Operations | Notion | ✓ | ✓ |
| Dan R. | Head of Sales Strategy and Operations | Notion | ✓ | ✓ |
| Sean K. | Vice President of Enterprise Sales | Datadog | ✓ | ✓ |
| Zacharie L. | Regional Vice President of Enterprise Sales | Datadog | ✓ | ✓ |
Names abbreviated for privacy. Full records — including emails and direct dials — are returned inside your Claude session.
Why it works
Technographic prospecting is the difference between selling a complement and selling a swap. When you know what’s already in the stack, the outreach hook writes itself — and verified contact data means the message reaches the person who actually owns that tool.
Lusha’s tech signal layer covers commonly tracked B2B platforms — CRMs, marketing automation, sales engagement, analytics, data infrastructure, and adjacent categories. The prompt returns only rows where Lusha can confirm both the tech and the contact, drawn from 300M+ verified contacts under GDPR, CCPA, SOC 2, ISO 27701, ISO 31700, and TRUSTe — so the list is sequence-ready, not a guess.
FAQ
Which technologies can Lusha confirm?
The tech signal layer covers commonly tracked B2B platforms — CRMs, marketing automation, sales engagement, analytics, data infrastructure, and adjacent categories. If Claude can’t find a tech in the catalog, it will say so before running the search.
Can I search for two technologies at once?
Yes — list both in the prompt. The result narrows to companies confirmed using both.
Will this surface companies that recently churned off the tool?
The technographic signal reflects the current state. To find churners, pair this prompt with the Find people who just changed roles prompt — leadership exits in the tool’s owner function often precede stack churn.
Do I have to type the exact tool name?
Claude resolves the tool against Lusha’s catalog before running the search. You can name the tool casually (“Salesforce,” “HubSpot”) and Claude will match it to the canonical entry.
How does this differ from a general prospect list?
The standard prospect list filters on industry, headcount, geography, and title. Adding a tech signal narrows the list to companies actively running the platform you sell into or against — which changes the conversation from cold to contextual.
Ready to build this?
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