This is a mock demo showcasing how Crustdata APIs could power an AI sales outreach application.
The tool aims to generate tailored outreach messages for prospective clients by enriching basic LinkedIn profiles with detailed professional data and recent social posts.
In a production environment, this application would use actual Crustdata APIs rather than mock data:
- People Enrichment API: We would send the user's LinkedIn URL to this API to obtain accurate, up-to-date professional details including
nameandtitle. - Social Posts API: We would use this endpoint to fetch the recent LinkedIn activity for the specific person to incorporate into the context window for our AI prompt.
*Currently, this app generates the message using these hypothetical endpoints replaced by mock JSON instances.
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Install Dependencies
npm install
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Environment variables Create a
.env.localfile at the root of the project with your Gemini API Key: -
Run the Development Server
npm run dev
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Open http://localhost:3000 with your browser to see the result.
