
Dr. M. Chen, MD
Reviewed our Step 2 CK conversion table and weak-subject mapping algorithm.
We're tired of black-box predictors and aggressive paywalls. NBMEcalc is what we wish existed when we sat for our first NBME.
We show confidence intervals, not a single "magic" number. We tell you when our model is uncertain.
We build models from public conversion data and aggregated user-submitted scores. We are not affiliated with the NBME or USMLE.
We will never sell your data. The only way we make money is by you choosing to upgrade — and we make sure that choice is worth it.
Pricing customers can read the methodology. Big algorithm changes get reviewed by practicing physicians before shipping.
We started small and we'll always be honest about it. Our dataset grows every day from anonymous user reports.
A short, honest timeline. We'll keep updating this page.
Frustrated with closed-source predictors and one-size-fits-all advice, the founder built a multi-source predictor in a weekend.
Three practicing physicians joined as part-time reviewers to vet our conversion tables and study-plan logic.
Free tier opens to all. Single Report and Pro plans launch with PDF delivery, multi-Step tracking, and confidence intervals.
Once we collect 1,000+ real outcome pairs, we replace the linear model with a gradient-boosted tree and re-validate.
Each algorithm update is reviewed by licensed MDs who scored 250+ on their own Step 2 CK. We're actively expanding our advisor board.

Reviewed our Step 2 CK conversion table and weak-subject mapping algorithm.

Validates our pediatrics subject estimates against real exam recall.

Provided the original 1,200-sample dataset that powers our base model.
Reviewer identities will be public once each advisor signs our public profile. Until then, we use placeholder names. We never claim unaffiliated endorsements.
We read every email. Reach the founder directly at hello@nbmecalc.com.