Look beyond the resume.
Discover the proof.
Discover the evidence behind a candidate's skills, experience, and professional work — consolidated, traced to primary source code, and verified in one place.
Built for engineering leaders & technical recruiters who value evidence over assumptions.
Every verified claim carries an immutable cryptographic trace.
Aanya Shah
Audit CompleteStaff Distributed Systems Engineer • 8 Yrs Experience
repo: github.com/aanya-s/raft-kv • commit 4e91cf2
func (n *Node) HandleAppendEntries(args *AppendArgs, reply *AppendReply) {
if args.Term < n.currentTerm { reply.Success = false; return }
}
Helm charts present; production traffic ingress configs private or redacted.
A resume is a self-reported claim.
Engineering requires real evidence.
For decades, hiring pipelines have relied on polished bullet points and keyword stuffing. Skitrace connects candidate claims directly to tangible output: commit histories, technical architectures, and transparent benchmarks.
“Architected and deployed high-throughput real-time streaming pipeline processing over 250,000 events per second with 99.99% fault tolerance.”
Did they write the engine, or just configure a dashboard?
No access to architecture, partition strategies, or failure modes.
Subject to subjective resume embellishment.
Candidate authored exact partition allocation rebalancer (partitioner.go) with integrated backpressure triggers.
From scattered signals to complete clarity.
Skitrace synthesizes distributed repositories, pull requests, verified certifications, and published engineering work into a cohesive, auditable intelligence report.
Gather
Connect candidate inputs or public identities — GitHub handles, open-source commits, technical papers, and benchmark profiles into one aggregation engine.
Connect
Skitrace maps claimed competencies to concrete code snippets, PR discussions, and project architecture diagrams, constructing an end-to-end evidence graph.
Understand
Review verified strengths and identify blind spots. Generate targeted interview prompts for areas where public evidence is partial or absent.
See the evidence behind the claims.
Illustrative candidate assessment for demonstration purposes. Click each claim below to inspect primary evidentiary proof.
Claimed: “Engineered high-concurrency Raft consensus engine in Go handling cluster leader election and log replication.”
// Leader election loop with randomized heartbeat intervals
func (rf *Raft) startElection() {
rf.currentTerm++
rf.votedFor = rf.me
rf.state = LeaderCandidate
votesReceived := 1
for peer := range rf.peers {
if peer != rf.me {
go rf.sendRequestVote(peer, &votesReceived)
}
}
}Automated Audit Summary
Candidate wrote 87% of all commits in the Raft state-machine module. Extensive race-condition testing suite passes with zero thread deadlocks.
“Walk through how you handled partition healing when network split occurs across 5 nodes during active snapshot creation.”
Precision for every stakeholder in the hiring loop.
Technical Recruiters
Filter out embellished resumes in seconds. Deliver shortlisted candidates backed by verifiable code and proven architectures to hiring managers.
Hiring Managers
Review candidate code before scheduling a conversation. Walk into every interview equipped with contextual, code-grounded probe questions.
Talent Operations
Standardize evaluation rubrics with empirical records. Create an auditable hiring record that minimizes hiring bias and rewards actual craft.
Evidence should inform decisions, not replace judgment.
Skitrace is built on strict evidentiary principles. We reject automated black-box candidate ranking. Our system organizes factual proof so human interviewers can make informed, equitable hiring choices.
Source Provenance
Every metric or verification badge links back to raw source artifacts — commit hashes, pull requests, or timestamped public records.
Context Over Penalty
We clearly separate unverified private enterprise work from negative marks. Lack of public repos triggers helpful questions, never rejection.
Zero Black-Box Filtering
No automated pass/fail algorithm deciding candidate careers. Human engineers and recruiters remain the sole decision makers.
Candidate Consent
Candidates maintain agency to connect specific repositories, spotlight private portfolios via authorized OAuth, and view their own dossier.
Frequently Asked Questions
Skitrace explicitly differentiates between "disproven" and "unverified public signal." For candidates with proprietary backgrounds, Skitrace highlights verified system design patents, architecture writeups, and generates tailored interview probe questions so your team can evaluate their work directly during technical rounds.
No. Skitrace enhances interviews by grounding them in real work. Rather than asking candidates to invert binary trees in artificial environments, hiring managers use Skitrace to discuss actual architecture decisions and production commits the candidate made.
Skitrace only parses candidate-authorized accounts or publicly accessible developer contributions. All data complies with GDPR, SOC 2, and CCPA specifications. We never sell candidate telemetry to third-party data brokers.
See beyond the resume.
Make hiring decisions based on real proof.
Join leading technology companies using Skitrace to bring candidate signals into focus and replace resume ambiguity with transparent truth.
No credit card required. Prioritized for technical hiring teams.