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Greenhouse, Lever & Ashby Tech Hiring Signals Radar

Track 493+ active engineering, product, security, and GTM job openings scraped live from Greenhouse, Lever, Ashby, and Workday ATS career boards to identify high-velocity B2B hiring signals.

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B2B Lead Radar & LaunchShield QA MCP Server
B2B Lead Radar & LaunchShield QA MCP Servermystique-lab/b2b-radar-mcp
Radar Tool
Record Type
Company / Opportunity / Target
Source
+5 fields
Text
Number
Boolean
List
Object

Input

Radar Tool to Execute (Batch / Task Mode):search_hiring_signals
Search Keyword / Filter:Engineer
Startup Dataset Source:ALL
Target Website or Store URL (Launch QA / EAA WCAG 2.2 / Live Shopify Probe):https://stripe.com
Max Results to Return:5
Self-check runtime (seconds):5

Output fields

Radar Tool
Record Type
Company / Opportunity / Target
Source
Headline / Role / Notice Title
Location / State / Agency
Offering / Score / NAICS
URL
Executive Contact / POC / Fix Prompt

How it works

Sign up on Apify or log in

The B2B Lead Radar & LaunchShield QA MCP Server Actor is ready to run with the inputs already set for "Greenhouse, Lever & Ashby Tech Hiring Signals Radar". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Greenhouse, Lever & Ashby Tech Hiring Signals Radar" task

The B2B Lead Radar & LaunchShield QA MCP Server Actor will start running based on the input automatically. You can also change all the input fields, like radar tool to execute (batch / task mode), search keyword / filter, and more, to match your specific use case.

Receive the "Greenhouse, Lever & Ashby Tech Hiring Signals Radar" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as radar tool, record type, company / opportunity / target, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Greenhouse, Lever & Ashby Tech Hiring Signals Radar" task via API.

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