Caught as soon as the role opens to the public.
The AI hiring engine First signal See it go live Fit clarity Know if it fits Fast action Act before the rush
Turn your resume into cited evidence for any role.
Our AI engine reads your resume against a real role, cites what matches, and names what does not. Group duplicate postings, check work authorization signals, and close the gap. Free while in early access.
Free while in early access. Accounts are approved individually, no card, no pricing.
Pay, scope, and visa signal checked first.
Alerts the moment a strong match opens.
Evidence labels, never sponsorship guarantees Every skill cited, or dropped, the engine never guesses
Built from firsthand experience of modern hiring friction.
Live matched role Singapore · payments
Fintech Operations Lead
83% ranked fit
Payments opsRegional vendorsProcess redesign
- Source check
- Still live on company site
- Salary fit
- SGD 8-10k aligns
- Repost check
- Zero repost signal
- Visa signal
- Employer + 2 reports
Shortlist priority High-priority match
- Role checked live The company listing still responds and still looks open.
- Visa signal strengthened Employer wording now matches repeated verified candidate reports.
What RoleRadar AI delivers
Real-time alerts Get alerted the moment a strong match opens to the public.
Live role verification Filter out stale, cold, or ghost listings before you apply.
Duplicate detection Group duplicate reposts so you only apply to a role once.
Work authorization signals See clear work authorization signals before investing your time.
Your resume is a claim. The useful part is the evidence.
Pick anything below to watch it run. Each panel says which part of the product it shows and whether that part works today.
Data-platform-resume.pdf 6 lines extracted
- Experience Senior Data Engineer · Meridian Logistics · Singapore · 2021–present
- Led the regional rollout of a streaming ingestion platform across four markets Regional rollout
- Built SQL reporting models used by finance and operations for monthly close SQL reporting
- Ran workloads on Kubernetes across staging and production clusters Kubernetes
- Owned on-call for the ingestion tier; cut Sev-2 incidents from nine to two per quarter Incident ownership
- Worked with various stakeholders on data initiatives No outcome named
Six semantic chunks · character offsets preserved
Skills Framework match Deterministic · zero fabrication
- Regional rollout SSG · Programme Management line 11
- Streaming data ingestion SSG · Data Engineering line 11
- SQL reporting SSG · Data Analytics line 14
- Kubernetes SSG · Infrastructure Engineering line 16
Model extractor Long-tail · must quote your text
- Incident ownership line 17
- Team leadership nothing to quote
The validator re-reads your resume at the offsets claimed. It never asks the model again — a skill it cannot find in your own words is dropped.
5 skills kept 1 dropped
- Name and contact
- Experience
- Page footer
- Right column — Skills read after the footer
- Education
Never reached
CertificationsInside a text box the extractor does not enter
Checks that passed
- Contact details found
- Single-column body
- Dates machine-readable
Words the posting uses that yours does not
- Stakeholder leadership
- dbt transformations
Planned reports will name the parser family and show the text it produced.
Master histories
- Data platform Active
- Analytics engineering
- Backend
- Empty
- Empty
- Senior Data Platform Engineer
- 4 reworded
- 7 emphasised
- 1 reported gap
- Staff Data Engineer
- 3 reworded
- 5 emphasised
- 2 reported gaps
- Analytics Engineer
- 6 reworded
- 4 emphasised
- 0 reported gaps
A version is generated per role from one master history. The tailoring reports what it could not support as gaps rather than writing around them.
One line, rewritten
Worked with various stakeholders on data initiatives
Led stakeholders across four regional markets through the ingestion platform rollout, cutting Sev-2 incidents from nine to two per quarter
Quick check: how many markets did the rollout cover?
Four marketsThe faithfulness gate will reject any clause that does not trace back to your evidence graph, rather than softening it. In development
Role targeted Senior Data Platform Engineer
Listed 2 days ago Singapore · Hybrid · S$11,000–S$14,000 / month
- Production-scale streaming must have Requirements, line 14 Strong evidence
- Container orchestration must have Requirements, line 16 Strong evidence
- Incident ownership must have Requirements, line 18 Strong evidence
- Data modelling should have Responsibilities, line 22 Partial evidence
- Stakeholder leadership should have Responsibilities, line 24 Insufficient evidence
- dbt transformations nice to have Preferred, line 26 Insufficient evidence
Skills evidence 68 of 100
Role scope 82 of 100
Salary alignment 91 of 100
Listing freshness 74 of 100
Sponsorship signal Candidate-reported only
Finding roles
- Hard filtersLocation, salary floor, seniority
- Hybrid retrievalDense vectors plus BM25, fused
- Relevance gateBelow-threshold results dropped
Scoring fit
- Skill extractionBoth sides, cited
- Gap analysisRequired minus evidenced
- Fit dimensionsWeighted by necessity
Separate stages on purpose. How well a role matched your search is not the same number as how well you fit it.
Production-scale streaming
Asked for in requirements, line 14
Container orchestration
Asked for in requirements, line 16
Incident ownership
Asked for in requirements, line 18
Data modelling
Asked for in responsibilities, line 22
Stakeholder leadership
Asked for in responsibilities, line 24
The role asks for container orchestration; your history says Kubernetes. The Skills Framework connects the two, and the report shows that reasoning rather than hiding it.
Stakeholder leadership sits below the confidence floor, so the report says insufficient evidence instead of estimating.
This role's requirements on the left, your evidence on the right. An unconnected node is a gap.
6 asked for 4 evidenced 1 to rewrite · 1 to learn
Evidence gap Stakeholder leadership
Your history shows you ran the regional rollout across four markets. The selected resume never says you led the stakeholders.
Closeable by rewriting ~10 minutes
Skill gap dbt transformations
The role prefers it and nothing in your uploaded history evidences it. This one is not a wording problem.
Closeable by learning weeks, not minutes
Most gaps are the first kind. You did the work; your resume does not say so.
Up to five example roles are recorded per gap, so a widely-required skill may come from more roles than the graph shows.
- dbt 3 weeksReviewed registry source Re-scores 3 targeted roles
- Airflow 2 weeksReviewed registry source Re-scores 2 targeted roles
Every step resolves from a reviewed source list. No generated course links.
Applied
1Interviewing
2Offer
1Closed
1Which version you sent is the field that makes outcomes measurable — it is what tells us whether a fit score was calibrated.
What to prepare for
- Pipeline reliability Technical screen Moderate Common
- Incident retrospective Hiring manager Hard Common
- Data modelling trade-offs Panel Moderate Occasional
Topics, stages and how often they come up — aggregated from contributed interview experiences. Never verbatim questions.
Senior Software Engineer · Acme Pte Ltd
Without clustering, the same role can look like three fresh openings. One grouped listing keeps the repost trail without sending three alerts.
Duplicate filtering
One role. One alert. One clean history.
The same Singapore role can come back with a fresh post date and look new again. RoleRadar AI groups those reposts into one listing so you see one opening, one alert, and the full repost trail in context. Recycled demand should not look like three separate opportunities.
Switch the view to compare the noisy feed against the cleaner version you get.
- Repeated reposts are flagged, so recycled demand does not look like fresh intent.
- One role stays one alert, even when the post date keeps resetting.
- Title, company, location, and content are checked together before two jobs are merged.
Duplicate and reposted job detection
Verified visa signal
Know the visa signal before you apply.
See whether the role is a guess, a repeated pattern, or employer-stated.
Visa signal scale
Visa signal: Unknown
No employer wording or verified candidate outcome yet.
Visa signal: Early candidate report
One verified candidate reported sponsorship. Useful, but still early.
Visa signal: Repeat candidate reports
Several verified candidates reported the same outcome.
Visa signal: Employer-stated
The employer states sponsorship is available. Strongest signal.
- Signal levels: unknown, early, repeated, or employer-stated.
- Open the timestamped proof before you decide.
Candidate report · Interviewed, sponsorship offered Verified · 14 days ago
+1 Candidate report · Offered with EP support Verified · 21 days ago
+1 Candidate report · Recruiter confirmed sponsorship Verified · 28 days ago
+1 Employer statement · “Open to sponsorship for senior roles.” From job description · 32 days ago
Verified Combined verdict Visa signal: Strongly supported Employer wording plus repeated verified reports support this label.
Candidate pattern Candidate evidence: useful, not final Useful pattern, but still weaker than direct employer wording.
Employer proof Employer evidence: strongest single source Direct employer wording is the strongest single source.
This is the kind of role you want near the top: scope, compensation, and freshness clear the bar, and the visa signal is good enough to act on.
Interesting title, but stale source checks, role drift, and pay mismatch should stop this from outranking cleaner opportunities.
Capability can still look strong while a weak sponsorship signal pulls the rank down for anyone who needs one.
Match score
You can see why a role ranks high or drops down.
A role should not rise just because it shares a few keywords with your resume. RoleRadar AI scores what matters for you: job scope, seniority, pay, listing freshness, and the visa signal.
- Skills are judged in context, not by keyword stuffing.
- Pay, level, and listing freshness matter as much as title match.
- A weak visa signal or stale source check can push an otherwise strong role down the shortlist.
Try the scenarios to see how the same profile moves when the role becomes less realistic.
Apply earlier
Be there when the job opens, not after the queue has already formed.
On broad job boards, it is easy to apply to dozens of roles and still hear nothing back. Sometimes the listing is stale. Sometimes it is just a recycled repost. Sometimes the pay or scope was never right. Sometimes the recruiter had already started calling earlier applicants. You need the role while the window is still open, not after the noise has already buried it.
RoleRadar AI helps you see the role as soon as it opens publicly, then narrows your effort to the ones that are still live, fit better, and carry a clearer visa signal.
- You focus on roles that are still open, not ghost listings or recycled reposts.
- You avoid wasted applications on bad pay, weak fit, or unclear relocation paths.
- You get an alert the moment a strong-fit role opens publicly.
Typical search Dozens of roles to sift through, with weak confidence on which one is actually worth it
- You spot the role after other applicants are already in motion.
- Weak pay, scope, or level fit only becomes obvious after manual reading.
- The visa signal stays unclear when you are deciding where to spend time.
With RoleRadar AI A smaller shortlist of strong-fit roles you can still act on while the window is open
- Only roles that are still live stay on your shortlist.
- Ghost jobs and recycled reposts are filtered before they waste your effort.
- Fit, pay, and the visa signal are checked before you apply.
Live now Visa signal Alert ready
Common questions about how the platform works.
Practical answers about how RoleRadar AI evaluates fit and handles your data.
What does RoleRadar AI actually do for me?
RoleRadar AI watches Singapore job listings, checks whether they are still live, filters ghost jobs and duplicate noise, ranks them against your resume and target, shows a clearer visa signal, and helps you move early when a strong-fit role appears.
How is this different from another job board search?
You do not get more jobs. You get fewer, better-timed ones. RoleRadar AI filters stale or ghost listings, collapses duplicate reposts, ranks real fit, shows the visa signal, and helps you act faster on roles that are still worth it.
How does the visa signal work?
Every role carries a sponsorship signal with a clear evidence label: Unknown, Candidate-reported, Multiple reports, or Employer-stated. It records available evidence, not eligibility or a guarantee.
Is RoleRadar AI free?
Yes. RoleRadar AI is free while in early access. If that changes later, the terms will be shown before you choose to continue.
Can I use RoleRadar AI if I am still outside Singapore?
Yes. You can search from abroad as well as from inside Singapore. You can tell us whether a strong visa signal is required, preferred, or not important, and that changes what rises to the top.
What happens to my resume and application data?
At launch, your resume is used only to match you to roles and support your own applications. We do not sell candidate data, and we do not send your resume to an employer without your action or permission.
Does the AI decide whether I or another candidate is suitable?
No. RoleRadar AI organises fit dimensions and evidence so a person can review them. It does not make application or hiring decisions.