Library/Account Research & Buyer Intelligence/Technology & Infrastructure Research/Identify a Company's Tech Stack from Public Sources
TestedAccount Research & Buyer IntelligenceQuick Win (under 10 min)

Identify a Company's Tech Stack from Public Sources

Infer a company's tech stack from website and job postings, then surface integration opportunities with your product.

About this prompt

This prompt infers a target company's tech stack from publicly available sources — website technology signals, job postings, and support documentation — and maps the findings to integration opportunities and technical pain points relevant to your product. Use it before a technical discovery call to arrive with hypotheses rather than blank questions.Walking into a technical conversation without a view of the buyer's stack means asking questions they've answered publicly. This prompt takes a [company's website, job postings, and any public technical documentation] and your [product category] to produce a layered stack inference: frontend technologies, backend and infrastructure, data and analytics tools, sales and marketing stack, and any custom or proprietary systems mentioned. Each layer comes with a technical maturity assessment and integration opportunity analysis for your product. Use this over a manual research process when you're preparing for a discovery or demo with a technical stakeholder. Tip: the job postings section of the analysis is the most current signal — what a company is actively hiring for reflects what they're building now, not what their website says they built two years ago.

The prompt

Based on [COMPANY]'s website, job postings, and public info, identify: 1. Frontend technologies 2. Backend/infrastructure 3. Data/analytics tools 4. Sales/marketing stack 5. Any custom or proprietary
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Variables to replace

COMPANY|MY PRODUCT|COMPANY NAME|URL

How to run it

  1. Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
  2. Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
  3. Make it yours — run it, keep what's strong, and tighten your inputs on the next pass. The prompt improves with your context.

What good output looks like

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StagePre-Prospecting
SeatAE, Sales Engineer, SDR
DifficultyIntermediate
Time to valueQuick Win (under 10 min)
Works withAI-Agnostic
CategoryAccount Research & Buyer Intelligence
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