How is Utkrusht different from HackerRank or CodeSignal?

Utkrusht evaluates developers using real-world work simulations instead of theoretical coding tests and MCQs. Candidates solve practical engineering problems in environments similar to actual work.

Who is Utkrusht designed for?

Utkrusht is designed for software companies, engineering leaders, CTOs and hiring teams that need a reliable way to screen and shortlist developers.

What do hiring teams receive?

Hiring teams receive ranked candidate shortlists, coding outputs, assessment recordings, skill evaluations and evidence of real-world developer performance.

Features that make Utkrusht better than your current hiring methods

Utkrusht is the only technical assessment platform to evaluate each candidate in actual deployed production environments, then shows you the Top 5-10 worth talking to

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No credit card required | Quick 5 mins setup

No credit card required
Quick 5 mins setup

Candidates assessed

18000+

Directly cuts down time-to-hire by

750%

Technical skills covered

11500+

Candidate completion rate

Trusted by tech teams at small and mid-sized companies

(typically <5000 employees)

Trusted by tech teams at small and mid-sized companies

(typically <5000 employees)

Key highlights

that showcase our watch them work tasks

We show how someone uses AI

Prompt trails reveal how candidates use AI, verify output and correct weak suggestions.

We give real production tasks

Candidates complete role-matched work in live production environments, making real ability visible.

We highlight skills that matter

Detailed attempt reports and objective rubrics surface the strongest 5–10 candidates first.

How hiring fails

and how Utkrusht fixes it

The familiar problems teams accept today, compared with a workflow built around watching candidates do real work.

Current hiring problems

How Utkrusht solves them

Resumes and keyword filters show what candidates claim, not how they actually work.

Candidates complete role-matched work in live production environments, making real ability visible.

Coding tests reward memorized answers and artificial test-taking skills.

Tasks mirror the role’s tools, constraints and tradeoffs instead of relying on quiz-style questions.

AI usage is hidden, leaving teams unsure whether the candidate or an agent did the work.

Prompt trails reveal how candidates use AI, verify output and correct weak suggestions.

Interview loops consume senior-team time before there is reliable evidence of skill.

Detailed attempt reports and objective rubrics surface the strongest 5–10 candidates first.

Take-home assignments create slow feedback, high review effort and candidate drop-off.

Short, focused tasks produce comparable evidence quickly while keeping the candidate experience practical.

Features that

make Utkrusht different than others

Your current hiring methods have leakages that we fix

Live production environments

Servers, clusters and databases, matched to the role.

Candidate attempt analysis reports

Judgement, design and testing, laid out clearly.

Prompt trails and how candidates use AI agents

The full trail, not just the final answer.

Proctoring and identity signals

Confirming who’s actually taking the task.

Candidate screening and shortlisting

Search your whole pipeline in plain language.

350+ skills and new tasks every week

Coverage that keeps up with your roles.

Live production environments

Candidates solve problems inside real, provisioned environments instead of sandboxes built for a test. The setup mirrors what the role actually touches day to day.

• Candidates solve problems in real provisioned sandboxes including servers, clusters and databases depending on role requirements — e.g. a staff platform engineer is asked to migrate a live database of 1m rows.

• Taking live traffic — e.g. improve API throughput by at least 20%.

• Customized to your role and tech stack.