Structured once
Requirements and profiles use the same fields: skills, location, pay, experience.
How it works
One profile. One queue. No applications.
Companies post requirements. People build profiles. When the numbers line up, both sides see a recommendation they can actually explain.
The idea
Hiring broke somewhere between job boards and inboxes
Posting a role means sorting hundreds of copies of the same resume. Applying means rewriting the same story for every link. We cut both sides out of that loop.
Scored fairly
Hard filters first, then weighted factors. Same formula every run.
Queued, not spammed
Recommendations land in a ranked list. No apply button, no cold inbox pile.
For companies
Hire from a ranked connection queue
You describe the role once. Candidates who fit show up with scores you can read line by line.
- 01
Create your company profile and verify your work email.
- 02
Post a role with skills, location, salary band, and experience level.
- 03
Recommendations appear ranked when candidates pass your filters.
- 04
Open a profile, read the factor breakdown, and start a conversation.
For Students
Learn first, connect when you are ready
Not everyone should jump straight into job connections. Students get a full learning workspace before the handoff.
- 01
Tell us your goal and current level during onboarding.
- 02
Follow a roadmap with courses, projects, and skill checks.
- 03
Track readiness on your dashboard. AI helps with guidance, not hiring scores.
- 04
At about 90% readiness, bridge to Job Seeker connections when you are ready.
For Job Seekers
Get connected without sending applications
Your profile does the talking. Roles that fit appear in your feed with clear reasons why.
- 01
Upload a resume and fill in preferences: location, pay, work mode.
- 02
Your profile is scored against open roles with the same rules companies see.
- 03
Connected roles show in your feed with a percentage and factor chips.
- 04
Accept outreach, pause, or reject. Nothing sends without your approval.
Scoring in plain language
Math ranks people. AI reads the messy text.
About nine tenths of a fit score comes from rules you can inspect. AI helps parse resumes and draft messages. It never moves someone up or down the list on its own.
What you can check
- Location and remote policy overlap
- Salary band fit on both sides
- Required skills vs profile skills
- Experience level and years
What happens next
When both sides are interested, you already share the same breakdown. You are not guessing why someone reached out or why a role appeared in your feed.