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Framer — Launch websites with enterprise needs at startup speeds.
Launch websites with enterprise needs at startup speeds.
Promoted
Maker
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Inspiration
I watched brilliant professionals around the world spend months applying into systems that were never designed to find them.
Not because they lacked skill.
Because the infrastructure lacked alignment.
LinkedIn was built for offices. Job boards were built in 1995. Neither was designed for remote-first, cross-border hiring in a world where talent is everywhere and opportunity should be too.
I built WFH.asia because that needed to end.
Problem
Companies hiring remotely face the same broken loop every time:
Post a job. Receive 800 resumes. Spend 3 weeks sifting. Get ghosted. Hire the wrong person. Repeat.
Average cost of noise per hire: $5,000.
Average application to interview rate: 2-8%.
Average time to fill a remote role: 6 weeks.
This is not a talent shortage.
This is an infrastructure failure.
And LinkedIn cannot fix it. Their $15B revenue depends on the browsing behavior that makes hiring broken. Any move toward a better model destroys their own engine. They are permanently locked out.
Approach
WFH.asia is a Deterministic Routing Engine.
Companies describe a role once. We match against a verified talent pool using behavioral reliability data. Three pre-verified professionals delivered in 48 hours.
No job posts. No applications. No ghosting.
Two innovations nobody can copy:
Pre-Acceptance Model , candidates express interest before employers see them. Ghosting eliminated at the root.
Reliability Graph , every interaction converts into behavioral data that compounds daily. You can copy the model. You cannot copy the data.
Standard roles: 48 hours.
This is not an improvement on hiring.
It's a replacement of it .
