ReLoop is a capability intelligence platform for the skills-based hiring era. It reads professional capability from evidence rather than from job titles, timelines, or keywords. ReLoop offers two products. Profile Intel analyses a professional CV and explains how that person's experience signals to the market, including their professional archetype, capability map, transferability score, and claim calibration; it is designed to read non-linear careers — pivots, breaks, founder chapters, cross-sector and parallel work — fairly. Role Intel analyses a job description and explains what the role actually demands, separating genuine requirements from wishlist language, calibrating scope and seniority, and surfacing a pay signal aligned with the EU Pay Transparency Directive. ReLoop serves both professionals and hiring teams. Reports are delivered within 24 hours and no account is required to start.
Decode your professional value.
Take the lead on how AI reads you.
The skills-based era is here. Job titles mean less. Capabilities matter more.
What you can actually do — proven, transferable, rare — is the currency.
ReLoop.me is the tool that objectively translates CVs and JDs into capability intel.
ReLoop.me offers Role Intel and Profile Intel in public beta. Role Intel converts job descriptions into structured role-demand intelligence and flags JD inflation. Profile Intel converts CVs, LinkedIn profiles, and professional histories into structured capability intelligence and reads signal consistency. Both products return a distinctive edge, capability, market signal and a calibrated pay signal — the same intelligence layer pointed at the role or the person. Role × Profile is coming next and compares the person and the role directly. Role Intel and Profile Intel are also available to hiring teams as a B2B engagement.
Read the role.
Read the professional.
See the capability intel.
ReLoop.me starts where hiring now usually goes wrong: job descriptions and CVs.
Role Intel decodes what a role actually demands. Profile Intel decodes how a professional history actually reads — same intelligence layer, mirrorred. Works on any job description, works on any CV: start with whichever one is in front of you.
Capability offer.
Capability demand.
ReLoop to skill-based hiring.
Decode the job.
For when the question is: What is this role really asking for?
Director-scope breadth in a senior-Individual Contributor seat — real ownership, no team buffer, and priced as a "competitive salary".
A keyword screen rejects the exact hybrid profiles this role needs — on title alone.
Use it before you apply, interview, negotiate, post a role, set pay, or brief a hiring team.
For candidates, hiring teams, founders, recruiters, and managers calibrating role demand.
Decode the profile.
For when the question is: What capability signal does this career actually send?
Delivers complex digital projects end-to-end — across teams she doesn't manage. Misreads as "just a coordinator".
Breadth and a career break can read as "scattered" until the capability pattern is named.
Use it before applying, repositioning, negotiating, returning, or reading a candidate past the CV.
For candidates, re-entry profiles, non-linear careers, and senior professionals repositioning.
When the role and the profile stop being guesswork.
Role × Profile will compare a Role Intel brief with a Profile Intel brief. Instant decision layer.
Skill-based hiring starts with clarity on capability.
Use Role Intel to test job descriptions before posting. Use Profile Intel to read shortlist candidates beyond title and keyword match. Built for founders, recruiters, and teams that need better role–market calibration.
Use it before the read becomes a decision.
ReLoop is useful at the moment before interpretation turns into action: before you apply, post, shortlist, price, negotiate, or reposition.
Most bad hiring decisions start before anyone speaks. A role is misunderstood, a profile is misread, or a salary range is guessed from weak signals.
ReLoop gives you a structured read before the market turns incomplete information into an assumption.
Less wasted effort. Better calibration. Clearer decisions on both sides of the hiring market.
Less guesswork.
More decision clarity.
For CV misreads, repositioning, negotiation, seniority calibration, and understanding what your evidence actually signals.
Decode a profile → RI Role Intel Use when a role is about to be interpreted.For JD clarity, role scope, seniority, salary range logic, red flags, and whether a role is worth acting on.
Decode a role →
No dashboard.
No onboarding.
Just the read.
ReLoop is built to give you capability intelligence without making you learn a new platform first. Choose the read, send the document, receive the report.
Less software.
More signal.
Pick the read you need.
Role Intel for a JD or role brief. Profile Intel for a CV, LinkedIn profile, or professional history.
Send the raw material.
The document does not need to be perfect. ReLoop is designed to read beneath the packaging.
ReLoop runs the framework.
The report is built through the same structured capability logic: evidence, signal, distortion, and value.
Get the report within 24h.
A clear, shareable intelligence brief you can use before applying, posting, negotiating, or shortlisting.
ReLoop stays lightweight on purpose: fewer platform mechanics, more time spent on the quality of the read.
24h reportReLoop.me is a capability intelligence platform in public beta. It converts job descriptions into Role Intel and CVs, LinkedIn profiles, and professional histories into Profile Intel. The hero explains that ReLoop.me needs real inputs to read capability demand and capability offer, including capability tilts, seniority, evidence confidence, inflation, market signal, and pay signal. Role × Profile Intel is coming next.
Turn career evidence into capability intel.
ReLoop.me reads the documents hiring already depends on — job descriptions, CVs, LinkedIn profiles, and professional histories — and converts them into structured capability intelligence.
Capability demand.
Capability offer.
Same intelligence layer.