Google Play
Version 1.0.2 · 2026-09-15
No release notes were provided for this version.
Too little checked to say Store information only. We haven’t analysed this app or read its reviews yet.
Not yet tested.
The store currently lists version 1.0.2, updated 2026-09-15.








Store screenshots supplied by the developer.
No preference is final. Nos is a YKS preference robot designed for students who want to create a reliable university preference list within minutes after receiving their YKS results.
Enter your ranking, and Nos classifies suitable departments as Target, Balanced, and Safe. Nos works based on success ranking, not score, because base scores change every year while success rankings are the real guide for university preferences.
🪜 HOW DOES THE PREFERENCE ROBOT WORK?
Choose your score type (Sayısal, Eşit Ağırlık, Sözel, Dil or TYT), enter your success ranking, and instantly discover suitable 4-year undergraduate and 2-year associate degree programs. Everything needed for university preferences is available on one screen: base scores, success rankings, quotas, and placement numbers.
🏣 OFFICIAL DATA FROM THE LAST 3 YEARS…
From the developer’s store description.
For developers and the curious
The evidence, sources, measurements and versions behind every label above.
No review analysis published for this app.
“Not assessed” means we could not measure it. It is never a zero and never a pass.
No package has been scanned for this app, so nothing is published about what it ships. That is an absence of evidence, not a finding.
Supporting measurements: not a complete list of possible harms or positives. Measurement vocabulary 1.4 · how these are measured
Not yet tested. No analysis has been run for this app, so there is no version or date to report.
Each store’s release notes, as the developer wrote them. They are the developer’s words, not ours.
No release notes were provided for this version.
nosWhat the stores publish. Store ratings are the stores’ numbers, not Appworthy’s, and are never averaged across stores.
Not yet tested. No analysis has been published for this app, so there is no method to describe for it yet. A missing label is not a clean bill of health: it means nothing has been read, not that nothing is wrong.
Write to [email protected], or use the form. Name the finding, the app version and the evidence that needs correcting. Factual corrections are free and never depend on buying anything.