Detect Companies Ready to Buy
Build a hiring signal detection system that identifies companies actively hiring for roles that indicate imminent purchasing decisions—turning social media job announcements into qualified sales opportunities.

The Problem
Companies hiring for specific roles are signaling future tool purchases. A startup hiring three DevOps engineers will need CI/CD tools. A scale-up adding a Head of Data Science will budget for ML platforms. These signals are scattered across social media, buried in noise, and impossible to track manually.
Signals are fragmented
Job postings appear on Twitter, LinkedIn shares hit Instagram, and team announcements spread across platforms
Timing matters
By the time a role is filled, the buying decision is often made—you need to reach out during the hiring phase
Manual tracking doesn't scale
Watching competitor hiring pages and social feeds for hundreds of target companies isn't feasible
Context gets lost
Knowing a company is hiring isn't enough—you need to understand the growth pattern and urgency
The Workflow
### Step 1: Monitor Hiring Signals with XPOZ
Example Queries
Ask Claude in natural language. Here are some examples with the underlying API calls:
Why XPOZ
No Platform API Keys Needed
Access Twitter and Instagram data without navigating each platform's API approval process. XPOZ handles authentication and rate limits through a single MCP connection.
Natural Language Queries
Ask Claude about hiring signals in plain English. No need to construct complex API calls—describe what you're looking for and let the Model Context Protocol translate that into structured queries.
Real-Time Signal Detection
Social hiring announcements happen in real-time. XPOZ provides access to current data so you can act on signals while they're still relevant—not days or weeks later.
Unified Multi-Platform Access
Hiring signals don't stay on one platform. Track announcements across Twitter and Instagram through a single interface, building a complete picture of a company's growth trajectory.
Generous Usage Limits
Free tier includes 100K results per month—enough to build and validate your hiring signal system before scaling. Pro plans handle enterprise-level monitoring needs.
Frequently Asked Questions
Job postings shared on social media, "we're hiring" announcements from company accounts, team growth celebrations, leadership hire announcements, and expansion news that implies headcount growth. The most valuable signals often come from executives and founders rather than official job board cross-posts.
Combine keyword queries with author analysis. Search for relevant role titles, then use `getTwitterUser` to examine the posting account's description, follower count, and other signals. Claude can help you build scoring criteria based on company size indicators, industry keywords in bios, and engagement patterns.
Hiring cycles typically run 4-8 weeks. The ideal window is early in that cycle—after the role is posted but before candidates are in final rounds. Signals older than 2-3 weeks may still be valuable but require verification that the role is still open.
Yes. Use `getTwitterPostsByAuthor` to monitor specific company accounts, or search for mentions of the company name alongside hiring-related keywords. You can also track employees of target companies by analyzing their follower networks.
Layer multiple signals. A single "we're hiring" tweet is weak; that same company posting three engineering roles in a month while their CEO discusses expansion is strong. Claude can help you build scoring models that weigh signal combinations.
Get Started
Connect XPOZ to Claude and start querying hiring signals immediately:
Add the MCP server: In Claude Code, run `claude mcp add --transport http xpoz https://mcp.xpoz.ai/mcp`
Authenticate: Complete the OAuth flow with your Google account
Start querying: Ask Claude to find companies hiring for roles relevant to your product
Free tier includes 100,000 results per month—enough to validate your hiring signal detection system and start generating qualified opportunities.
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