Rank talent with clarity
India produces 1.5 million engineering graduates every year. Placement cells at engineering colleges still shortlist on a single number. CandidateRank reads the work instead: code, projects, contests, exams. It returns a ranking you can defend and links every campus into one talent network.
A 9.5 CGPA alone doesn’t make a great engineer.
Campus hiring is a ranking problem dressed up as a sorting problem. The student who shipped real projects, solved five hundred problems, and lives on GitHub is filtered out at page four. We built CandidateRank to read the role, score every candidate against the work they will actually do, and return a shortlist you can defend.
The science backs it up
Decades of research across India and globally confirm what placement cells quietly suspect: GPA alone is a poor proxy for engineering talent.
“Only 3.84% of engineering graduates are employable in software product companies, despite high GPAs being widespread.”
Standardised assessments of 150,000+ students across 29 states. CGPA failed to predict employability in nearly every domain.
“GPA predicts job performance with a validity of only r=0.16. Work samples (r=0.54) dramatically outperform it.”
A meta-analysis of 85+ years of hiring research. GPAs are optimised for academic environments, not industry performance.
“Skills-based hiring saw a 35–40% improvement in retention and 28% faster time-to-productivity for new hires.”
India-specific analysis of 400+ companies. Cells adopting holistic screening reported stronger recruiter satisfaction.
From a ranking engine to a talent network
CandidateRank began as a way for one placement cell to rank its own batch on real signals instead of CGPA. That engine is still the core.
With Hivemind, each cell’s ranked pool now joins a single collective. The next step is the part that changes everything: a company opens a role, and the right candidates surface from every connected campus.
Score every candidate against the role across portfolios, contests, projects, and academics, then rank them with the reasons attached.
Hivemind joins each campus’s ranked pool into one shared, queryable talent graph.
A company opens a role; it routes across the graph to ranked candidates at every relevant campus.
Signal over noise
Every candidate is scored against the role across portfolios, contests, projects, achievements, and academics, never reduced to a single number. The model reads the work and the trajectory.
Reasons, not rankings
A score with no explanation is a black box. Every rank arrives with the evidence that produced it, ready to defend to faculty, students, and recruiters alike.
Less, but better
A shorter shortlist you trust beats a hundred maybes. We optimise for the decision the placement cell has to make, not the size of the funnel.
Owned by the institute
Campuses keep full control of their students’ data. Nothing enters the collective without the cell’s explicit approval.
More than a scoring engine
CandidateRank now covers the entire placement workflow, not just the ranking step: collect candidate data, score and rank it, query the batch with AI, manage your team, keep a full audit trail, and file your NAAC, AICTE and NIRF returns.
Plain-English candidate search
Ask any question about your scored batch, whether by skill, company, project type, or stack, and the AI Advisor surfaces ranked matches with the evidence behind each one.
Role-based access for every cell
Five roles from Admin down to Viewer let you give every coordinator exactly the right access: no shared passwords, no accidental deletes.
Organised by department
Group sessions by department or year: CSE, ECE, Mechanical, Civil. Each branch stays isolated, so the whole cell stays structured across the institute.
Collect and clean, in one place
Form Builder for student-filled data, an AI Excel Structurer for messy sheets, Word-to-PDF, and Files-to-ZIP. No third-party tools needed.
A record that defends you
When a trustee, a parent or a HOD asks why a student was not shortlisted, you have a document instead of your word. Every decision carries who acted, the ranking it was made against, and the reason given for going against it.
Ready to rank talent the right way?
Join placement cells across India building fairer, smarter recruitment.