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I built an AI medical-records hub after my mom's cancer diagnosis

Hacker News

I built an AI medical-records hub after my mom's cancer diagnosis

My mom was recently diagnosed with stage 4 pancreatic cancer. That's both an overwhelming diagnosis but also an overwhelming flood of information, documents, appointments, options and questions. I needed a place to keep track of it all and also a place to ask questions, do research and help my parents and family do the same. So, naturally, I built something. Not charging anything for it at the moment (and with as much AI as I've got layered into this, frankly it's gonna cost me a nice chunk of change to run it). Mostly interested in just making this as useful as possible to families going through long, complex and heavy situations. Tech stack: Rails backend, Inertia/React frontend, Swift for iOS, Anthropic for LLM bits.

Visit product View on Hacker NewsMay 29, 2026

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73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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