Build a simple analytics API 3–6 hours
✓Clear requirements
✓Visible rubric
✓Realistic, production-style codebase
✓Paid upon submission
Skills over signals
Let the work audition.
MatchMind hires engineers the way orchestras audition musicians: a realistic, paid work sample, reviewed behind a screen and scored against a rubric the candidate sees first. The work comes through. Everything else waits.
REAL WORK
SAMPLESREVIEWED
BEHIND A SCREENTRANSPARENT
RUBRICS
SAMPLESREVIEWED
BEHIND A SCREENTRANSPARENT
RUBRICS
PEOPLE
DO THEIR BEST
WORK
WHEN BIAS
CAN'T SEE THEM.
DO THEIR BEST
WORK
WHEN BIAS
CAN'T SEE THEM.
Review commentcache.go, line 13
func (c *Cache) Get(k string) (any, error) {
if !ok { return nil, ErrNotFound }
return item, nil
}
if !ok { return nil, ErrNotFound }
return item, nil
}
Reads the map without the lock. With a concurrent Set, Go can stop the program. Could Get take an RLock?
The screen
Move the screen.
Watch what stays.
Slide away identity. The work remains. Same code. Same quality. A fairer conversation.
DRAG THE SCREEN →
candidate_identity / masked by defaultroute_handler.go ● work sample
Candidate identity
NameAlex Morgan◉
PhotoHidden◉
SchoolTechnical Institute◉
LocationLondon◉
Past companiesStudio / Labs◉
route_handler.go review ready
01 func (s *Server) handleUser( 02 w http.ResponseWriter, 03 r *http.Request) { 04 userID := chi.URLParam(r, "id") 05 if userID == "" { 06 http.Error(w, "missing user id", 400) 07 return 08 } 09 user, err := s.store.GetUser( 10 r.Context(), userID) 11 if err != nil { 12 return 13 } 14 json.NewEncoder(w).Encode(user) 15 }
IDENTITY MASKED · WORK STILL VISIBLE
The work sample
A realistic
project, not a test.
Candidates complete a scoped, real-world project. Reviewers evaluate the work behind a screen using a shared rubric. Everyone knows what great looks like.
See a sample project →Score with a shared rubric
Functionality4/5
Code quality5/5
System design4/5
Testing4/5
Communication5/5
The audit
Built for fairness.
Backed by data.
Every decision should be auditable. This illustrative workflow highlights consistency checks, potential bias and a reviewable decision trail.
See how the audit works →Consistency
94%
Illustrative reviewer agreement on sample evaluations.
Less bias
3.2×
Illustrative improvement in one sample signal.
Audit trail
100%
Decisions are documented in the simulated workflow.
DESIGN DEMONSTRATION · NO REAL WORLD IMPACT OR CERTIFICATION CLAIMED
For candidates
Show what you can do.
On a level playing field.
A transparent, respectful process that values your time and your work. No résumé filters. No background games. Just a real project and real feedback.
See a sample project →Know what to expect
See the full rubric and requirements before you start.
Get paid for your work
Every work sample is paid. Your time is valuable.
Real feedback
Receive structured feedback from experienced engineers.
No identity bias
Your work is reviewed behind a screen.
A higher standard for tech hiring
Ready to see
a fairer way?
Run one role, or experience both sides of the work sample. This is a fictional product experience created for the ReBrandMyAI transformation showcase.