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Prompt

Build a list of companies using a specific tech stack

Built by: Lusha
Time to build: 1 min
Difficulty: Easy
Tools: Claude ▪ Lusha

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

Open in Claude Open in ChatGPT 
<context>
I want to find companies using [TECH] so I can sell [PRODUCT] into their stack.
</context>

<task>
1. Find companies via Lusha company search:
   tech [TECH], industry [INDUSTRY, optional],
   headcount [RANGE], geography [REGION].
2. For each, find contacts in 3 title families
   (e.g. IT leaders, RevOps, Sales leadership).
3. Enrich each with verified email and direct dial.
4. Return a table:
   Company | Tech | Contact | Title | Email | Direct dial.
5. Order by company headcount descending.
</task>

<constraints>
- Validated emails only.
- Skip companies where Lusha can't confirm the tech.
- Cap at 25 companies, 3 contacts each.
</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.

ContactTitleCompanyValidated emailDirect dial
Tori M.Global Head of Revenue Operations[Productivity SaaS, ~800 emp.]✓✓
Namrata R.Head of Revenue Strategy and Operations[Productivity SaaS, ~800 emp.]✓✓
Dan R.Head of Sales Strategy and Operations[Productivity SaaS, ~800 emp.]✓✓
Sean K.Vice President of Enterprise Sales [Cloud observability, public]✓✓
Zacharie L.Regional Vice President of Enterprise Sales [Cloud observability, public]✓✓

Names and company identifiers 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.

Related Prompts

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One data connection. Works in Claude, ChatGPT, your CRM, or any agent you build.

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