Tech recruiters

Stop screening resumes. Start screening proof.

iPuls.ai helps tech recruiters filter developer candidates using role-based coding tests, sandboxed labs, AI-reviewed output, and recruiter-ready evidence before engineering interviews begin.

Request a demo See screening flow

Role-based screens

Strong signal

AI-reviewed evidence

Faster review

Interview-ready shortlist

Cleaner handoff

Tech recruiter command center dashboard showing candidate ranking, code test output, evidence signals, and shortlist readiness

Resume noise scanner

Recruiters do not need more resumes. They need cleaner signals.

The page should speak directly to recruiter pain: too many profiles, unclear skill truth, and engineering time wasted on candidates who cannot perform practical tasks.

Split comparison of noisy resumes versus structured technical evidence in a recruiter dashboard

Resume says React

Cannot structure components

Claims backend experience

Fails API + database task

Lists cloud skills

No hands-on deployment proof

Looks senior on paper

Weak debugging signals

Clean signal should feel obvious in one glance: what the candidate claims, what the work proves, and what should happen next.

Signal conveyor

Turn a role requirement into an interview-ready shortlist.

This section uses a conveyor pattern instead of repeated cards: every step transforms recruiter uncertainty into cleaner hiring evidence.

Role Brief

Adaptive Screen

Runtime Evidence

AI Recruiter Brief

Interview Ready

Role vetting lab

Screen by role-specific evidence, not generic coding rounds.

Recruiters can see the exact evidence needed to decide whether a candidate is ready for the next round.

Role vetting dashboard with role selector, candidate evidence, skill match ring, and action summary

Frontend Developer

React + TypeScript

Component structure, state, and accessibility

Match

91%

Backend Developer

Node.js + PostgreSQL

APIs, validation, and data modeling

Match

88%

Full-Stack Engineer

Frontend + Backend + DB

End-to-end delivery and integration

Match

86%

Cloud / Salesforce

Workflow + integration

Workflow logic, data rules, and automation

Match

82%

Technical proof stack

Make every screen practical, measurable, and recruiter-readable.

This section uses a scoreboard pattern so it does not feel like another feature-card grid.

Sandboxed Labs

Let candidates write real code inside practical lab environments instead of answering shallow quiz questions.

Code Execution

Run tests, validate outputs, and capture runtime evidence before engineering teams review manually.

AI Grading

Summarize correctness, logic, code quality, performance, and role alignment in recruiter-friendly language.

Voice Scheduling

Move qualified candidates into the next round without endless email coordination.

AI recruiter copilot

Give recruiters a clear technical brief without making them decode raw test data.

The copilot turns coding results, lab evidence, and interview readiness into next-step recommendations recruiters can act on.

Ask iPuls: “Which candidates are ready for frontend interview?”

Top candidate

Ananya Rao

Reason

Strong React + API evidence

Concern

Minor accessibility gaps

Next action

Schedule technical interview

AI Summary

Candidate has sufficient role evidence for a technical interview. Strong component structure, API integration, and debugging behavior. Recommend moving forward with a 45-minute engineering interview.

Recruiter outcomes

Better shortlist quality with less manual effort.

This section uses a scoreboard pattern so it does not feel like another feature-card grid.

Screening time

↓ 80%

Reduce manual screen-to-interview effort.

Engineering load

Filtered

Send only stronger candidates for review.

Candidate proof

Practical

Use labs, tests, and execution evidence.

Scheduling

Assisted

Coordinate interviews with less back-and-forth.

Automate your tech screening

Send fewer weak candidates to engineers.

Use coding tests, practical labs, AI-reviewed output, and recruiter-ready summaries to build a stronger technical shortlist.

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Role skills mapped

Lab environment ready

Code execution verified

AI summary generated

Voice scheduling assisted

Shortlist evidence prepared