🧑⚕️ Every card names its author.
Click the attending’s handle. Read their bio. Ask them a follow-up on the thread. No more anonymous mega-decks. When a card’s wrong, the attending who wrote it fixes it — not a vendor six months later.
Ankinex · manifesto
There’s a better way to study for boards.
Every medical student knows the pattern. Buy AnKing for $150. Grind 30,000 cards alone. Supplement with UWorld ($600). Ask ChatGPT when stuck. Hope your forgetting curve is kind.
We think there’s a better way, and it’s obvious once you see it.
The three problems medical Anki has never solved.
Problem 1: Anonymous cards rot. AnKing is a ~35,000-card mega-bundle with no named authors. When the AAP updates the UTI guideline, AnKing waits months to push an update — if it ever comes. You’re memorizing 2011 recommendations in 2026.
Problem 2: Studying alone is a bug. Ninety thousand medical students are doing the same Step 2 prep, flagging the same cards as hard, in 90,000 separate apps. All that difficulty signal goes nowhere. All that collective insight is wasted.
Problem 3: The AI you’re using is cheating you. ChatGPT gives you the answer. You feel smarter. You’re not — you skipped the cognitive work that makes it stick. There’s no pedagogy in an answer machine.
Our bet, in one sentence.
Community-authored cards, AI that coaches, credits that pay — all bound by a governance ledger that keeps everyone honest.
Think Reddit with a service contract. Think AnKing if the authors had names. Think ChatGPT if it was trained to teach, not to answer.
How we answer each problem.
🔄 Your ratings feed the cohort.
Rate a card Hard. So do 40% of your classmates on the same rotation. The compiler flags it. An attending re-sources it. Next week, the card is better — for everyone. You see what the peds cohort is struggling with in real time. You stop feeling alone.
💡 The AI coaches, never cheats.
Stuck? @CANONIC opens with “Great question to wrestle with...” It asks what you’re thinking. It drops the first fork. It layers the decision tree without giving the answer. Grounded in the real knowledge graph — NCCN, ClinGen VCEP, NBME outline, society guidelines — so it cites, not hallucinates.
💸 You get paid to study.
Sign up: 100 credits on the house. Rate a card: you mint a credit to the attending, they mint to you. Invite a classmate: you both earn 5. Write a thread that becomes a card: every review mints to you forever. Credits cash out 1:1 to USD via Stripe. $1 = 1 credit. It’s not a points game, it’s an economy.
What it costs.
| You | Pay | Earn |
|---|---|---|
| Medical student | $0 | 100 credits on signup · per rating · per referral |
| Resident | $0 (beta) | Per thread authored · per card review · cashable |
| Attending author | $0 | Every time a card you authored is reviewed, forever |
| AnKing · UWorld · AMBOSS · BoardVitals | $150–$1,500+ | Nothing |
Who’s behind this.
Dexter Hadley MD/PhD (Penn) — UCF Founding Chief of AI, Stanford (Butte Lab alumnus), UCSF. Anil Bajnath MD, Founder & President of the American Board of Precision Medicine, governs the ABOPM credentialing track. No VC funding. No ad platform. No data harvesting. Infrastructure is community-funded via credits.