Explore a technical candidate’s evidence before the interview.
TalentSync360 turns professional experience, projects, work evidence and role context into structured candidate briefs — with strengths, gaps, unknowns and questions worth validating in the interview.
The hiring bottleneck is not sourcing. It is trusting what happens before the technical interview.
Resumes make claims, not evidence
Keyword-optimized CVs create false-positive shortlists and force senior engineers to spend valuable time acting as first-line screening filters.
Recruiting agency black boxes
Candidate profiles can leave important questions unanswered: which claims are supported, where context is missing, and what deserves follow-up.
Engineering time lost to baseline mismatches
Interviews are squandered uncovering missing prerequisites that could have been identified, contextualized, and surfaced before scheduling.
TalentSync360 does not replace the technical interview.
We help clarify what the evidence supports and what still needs to be explored.From keyword search to structured technical evidence
A deliberate, five-step transition from ambiguous candidate claims to calibrated hiring decisions.
Three steps to interview-ready clarity
A structured approach to connect available evidence with the questions your role raises.
Gather Technical Evidence
We extract verifiable signals from past projects, architecture decisions, code contributions, and technical delivery context — not just claims on a PDF resume.
Calibrate to Role Context
Every candidate is evaluated against your specific technical stack, timezone overlap, seniority requirements, and actual delivery expectations.
Deliver Decision Artifacts
The accepted review scope determines the output. A paid Evidence Brief can document strengths, gaps, unknowns, and questions to explore; the free trial remains limited.
Prepare a focused technical interview.
Explore how a human-reviewed reading of available evidence could support your interview preparation.
Evidence and open questions before the interview
See which claims have supporting evidence and which need more context.
Respect senior engineering time
Use the agreed findings and open questions to plan where your engineering team should focus the interview.
Actionable interview questions
Receive tailored questions specifically targeted to probe surfaced unknowns and calibrated gaps.
Calibrated for LATAM delivery
Role context can include communication, timezone overlap, and distributed work expectations when relevant. These are not blanket certifications.
Your work is more than keywords on a resume.
Showcase real architecture decisions, production experience, and engineering depth through a private, candidate-controlled evidence review.
Evidence-first presentation
Let your real projects, architecture decisions, and code speak louder than algorithmic CV keyword filters.
Private & candidate-controlled
Review your evidence profile privately. Joining Talent Network does not authorize presenting or sharing it with employers.
Fair, transparent evaluation
Understand exactly how your experience is mapped to role requirements with clear, objective criteria.
Your next step stays your choice
An evidence review does not guarantee an opportunity or employer presentation. Talent Network membership is a separate choice.
Simulation with fictional data. These controls only change this example; they do not save a decision or share a profile.
“Candidate demonstrably owned the event-streaming consumer pipeline architecture in Go, handling sustained traffic of 12,000 req/sec with documented zero-loss failover.”
Simulated private review choice. The profile remains private.
Joining Talent Network does not authorize presenting or sharing your profile with employers. Any presentation requires separate authorization.
The Five Canonical Evidence States
We classify every claim into explicit evidence states. If something is unknown, we say it is unknown.
Surface Unknown
No observable evidence exists in the candidate submission to support or dispute this requirement. It has not been observed and must not be assumed.
“Kubernetes Custom Resource Definition (CRD) creation was not mentioned or demonstrated in any submitted materials.”
Directly ask whether the candidate has hands-on production experience with CRDs or if training is required.
Explore evidence review support for your agency.
Discuss the candidate review needs of your agency or IT consultancy through a custom consultation.
Agree a partnership scope
Review requirements, availability, and permitted use before any engagement is proposed. Presentation under a partner brand requires separate assessment and authorization.
Make evidence limits explicit
Structure supported claims, missing context, and questions worth exploring with the hiring team.
Differentiate your delivery model
Move beyond keyword pitching and unvetted candidate PDFs to offer structured, epistemic decision support.
Verifiable production Go microservices handling Kafka event streaming at scale.
Multi-region failover not observed in artifacts; flagged for live validation.
The Candidate Evidence Brief
A fictional example of a structured review format: evidence, limitations, and questions for an interview.
Senior Backend Engineer (Go / Distributed Systems)
Core Stack: Go · Kafka · Kubernetes · PostgreSQLDocumented production experience building and maintaining asynchronous messaging pipelines with Go.
Limited observable experience with multi-region cluster failover; past architecture focused on single-region deployments.
No observable artifacts demonstrating direct familiarity with Kubernetes CRD development.
“What criteria did you use to set partition limits and consumer backpressure thresholds in your message queue implementation?”
Bring a real role. See what the evidence actually supports.
Discuss a review of candidates you already have, or start an exploratory conversation about a hiring need.
Human-reviewed technical qualification for distributed LATAM hiring.