NBMEcalc
About NBMEcalc

Built by med students. Reviewed by doctors. Honest by design.

We're tired of black-box predictors and aggressive paywalls. NBMEcalc is what we wish existed when we sat for our first NBME.

Honesty over hype

We show confidence intervals, not a single "magic" number. We tell you when our model is uncertain.

Independent of NBME

We build models from public conversion data and aggregated user-submitted scores. We are not affiliated with the NBME or USMLE.

Built for you, not advertisers

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.

Algorithm transparency

Pricing customers can read the methodology. Big algorithm changes get reviewed by practicing physicians before shipping.

Built on Real Data, Validated Daily

We started small and we'll always be honest about it. Our dataset grows every day from anonymous user reports.

0
Historical Step Takers
Real NBME → Step pairs in our dataset
±0 pts
Median Prediction Error
Based on holdout validation
0
Predictions This Month
And growing every day

How we got here

A short, honest timeline. We'll keep updating this page.

  1. 2025 Q4

    Idea & first prototype

    Frustrated with closed-source predictors and one-size-fits-all advice, the founder built a multi-source predictor in a weekend.

  2. 2026 Q1

    Medical advisor team

    Three practicing physicians joined as part-time reviewers to vet our conversion tables and study-plan logic.

  3. 2026 Q2

    Public launch

    Free tier opens to all. Single Report and Pro plans launch with PDF delivery, multi-Step tracking, and confidence intervals.

  4. 2026 H2

    ML predictor v2

    Once we collect 1,000+ real outcome pairs, we replace the linear model with a gradient-boosted tree and re-validate.

Reviewed by physicians

Validated by Real US-Trained Physicians

Each algorithm update is reviewed by licensed MDs who scored 250+ on their own Step 2 CK. We're actively expanding our advisor board.

Dr. M. Chen, MD

Dr. M. Chen, MD

Internal Medicine, PGY-2
Step 2 CK: 256

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

Dr. A. Okafor, MD

Dr. A. Okafor, MD

Pediatrics Resident
Step 2 CK: 261

Validates our pediatrics subject estimates against real exam recall.

Anonymous, M4

Anonymous, M4

US MD candidate
Step 2 CK: 268 (verified)

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.

Got feedback or a partnership idea?

We read every email. Reach the founder directly at hello@nbmecalc.com.