Each applicant's resume and GitHub are deep researched against the skills your role needs. You see which skills were used in real work and which are only listed, so your first shortlist is ready before anyone opens a profile.
No credit card required | Quick 5 mins setup
Candidates assessed
Directly cuts down time-to-hire by
Technical skills covered
Candidate completion rate
Key outcomes
for tech and engineering teams
Shortlist from hundreds of resumes in 10mins
Every resume is scored against your must-have skills and ranked, so you start with the most promising candidates.
Ensure you're looking at the most promising candidates first
For every skill, see actual evidence, whether the candidate built something with it or only listed it, with the line from the resume.
Spot inflated profiles
A GitHub with 77 repositories may hold real work in only three. The research shows which is which.
Confirm your shortlist with real work
A resume can still be wrong. Your top candidates fix a running system before the interview.
Solve your top challenges with technical skills screening
Technical skills screening key challenges
Utkrusht solutions
Hundreds of resumes per role, and no time to open every profile
Every resume is scored and ranked as soon as it is uploaded
The ATS score can't be trusted. A 59% profile is missing the skills, a 0% profile has them
Each skill is scored on evidence, with the reason shown next to it
Every resume looks the same, with the same claims and the same numbers
Strong anti-proctoring feature set. Plus, candidates debug and fix a running system with AI allowed. The recording and prompt trail show who did the thinking
HR screens, then the hiring manager also screens the same profiles again
One fit report both can read, written in plain language and shareable by link
A flashy resume still turns out to be a weak candidate in the interview
Shortlisted candidates complete a Task, so skills are proven before interview time is spent
Features that
make Utkrusht different than others
Evaluation method
Resume fit score
Each must-have skill from your job description is marked as demonstrated or only listed, with the supporting line from the resume.
In-depth candidate profiling
Candidate deep research
GitHub profiles and any links the candidate shares are researched: how old the profile is, which projects are real work and which are learning exercises, and how deep the work goes.
High-volume
Bulk upload and search
Upload resumes in bulk, search the whole pipeline in plain language, and select or reject with your own email templates.
Non-leakable Tasks
Tasks already built-in for your candidates
Shortlisted candidates debug and fix a deployed system on their own machine. You get the recording and a report on skill, AI usage and problem solving.
FAQs
What does the fit score look like?
The candidate's resume, checked against the must-have skills in your job description, alongside a deep research validation done on LinkedIn, GitHub, etc. profiles and other shared links are researched and shown to you as a signal.
Anything suspicious is flagged.
Most candidates have no public GitHub. Does that count against them?
No. GitHub is shown as a separate signal and is left out of the fit score, because many strong engineers work on private code.
Our ATS already gives a score. Why use another one?
Most ATS scores come from keyword matching. Utkrusht's score comes from real evidence and proof-of-work shown to you, and you can see the reason behind each skill.
Are low-scoring candidates rejected automatically?
No. A weak resume can still belong to a strong candidate, so selecting and rejecting is always your call.
Resumes are written to match the job description. How do you know the claims are true?
From the resume alone, you can't be sure. That is why shortlisted candidates take a Task and show the skill in a running system.
Still got questions?
Just book a call directly with our team
