Visual strategy page
From one AI recruiter product to the platform layer for AI-native hiring.
The old story was a recruiting application. The new story is a stack: platform, APIs, HR data, and OpenClaw skills that other agents can plug into.
Before
AI Recruiter
One application
→
After
Platform + Skills
Many agents / many surfaces
Original site
7 days
vs 45-day recruiting cycle claim
Platform
99.9%
API uptime
Platform
2.4M+
jobs indexed
Platform
180M/mo
API requests
The shift in one glance
Same company. Bigger layer.
Before
Application narrative
👥
Buyer
Hiring teams
⚙️
Form
Single product UX
⏱️
Promise
Hire faster
📈
Value
Efficiency outcomes
Evolution
After
Infrastructure narrative
🧠
User
Agents + builders
🔌
Form
Platform + APIs
🧩
Distribution
Installable skills
🌐
Value
Infrastructure leverage
Three visible layers
Product, platform, and agent distribution.
POST /v1/skills/parse-resume
99.9%Uptime
2.4M+Jobs
180M/moRequests
Unified Recruitment API
AI Recruiting Skills
MCP for HR Data
Infrastructure layer
Agent distribution layer
Capability map
What becomes visible in the new stack.
People Search
Profile Lookup
Candidate Match
Jobs Search
Scholars Search
Talent Analytics
Contact Unlock
OpenClaw Skills
Recruitment APIs
Layered architecture
How the new story compounds.
Application proof
Real recruiting workflows validate the wedge.
→
Reusable intelligence
Search, match, ranking, and data become primitives.
→
Platform distribution
APIs + skills unlock many AI-native products.
One-line takeaway