Practice real medical-claim decisions on realistic, made-up claims. Make the call, then get a veteran examiner's breakdown of the right answer, the trap, and the fix. For claims examiners, coders, and billers. Free to try.

Hey Product Hunt 👋 I'm Elias, the founder of ClaimCaliber. Every day, medical claims get paid, denied, or sent back on human judgment calls — and getting them wrong drains tens of billions a year ($54.3B in Medicare improper payments alone in 2024). Yet that judgment is still learned the slow way: shadowing a senior examiner, or eating denial after denial until the pattern finally clicks. I kept coming back to one thing: this is a skill — so why does no one train it like one? ClaimCaliber is a flight simulator for claims. You get a realistic (100% synthetic, no PHI) claim on a clean worktable and make the call. Then you get two things back: a veteran's plain-English teardown of the right answer and the trap most people fall for — and the systems-level fix that stops it from happening again. It works from both sides of the claim: • Payers & examiners → sharper calls, faster onboarding, fewer dollars out the door • Billers, coders & RCM → cleaner claims that pay the first time, fewer denials It's free to try — no card, just pick a case and make the call. I'd especially love your feedback on the teardowns; that's the heart of it. What's the claim decision that's burned you the worst? 👇 — Elias

A nice practice tool. One thing that would really help me is being able to filter cases by payer type or specialty so I can drill into the exact scenarios my team sees most often. Right now it seems pretty random which claim shows up.

Adding a timed mode where you have to hit a decision under pressure would be huge for sharpening the kind of split-second judgment examiners need in real workloads. Maybe even track your speed vs accuracy over time so you can see where the hesitation creeps in.

ClaimCaliber

Sharper calls. Cleaner claims.

Sharper calls. Cleaner claims.