Dprms – A Digital Patient Record System for Underserved Clinics

Hacker News

Hey HN I'm building DPRMS – an open source digital patient record management system designed to help small clinics and rural healthcare workers in South Asia go paperless without needing any tech expertise. Key Features: - QR-based access to patient records - Offline-first architecture for remote clinics - Simple pharmacy integration and health history tracking - Lightweight and mobile-friendly interface GitHub: https://github.com/IndrojitBanik/dprms-showcase Waitlist: https://tally.so/r/w5grpv I’d love feedback, suggestions, or even collaborators!

Visit product View on Hacker NewsJun 24, 2025

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AppSumoStrong fit for a featured deal · Strong signals: friendly, interface · Missing: plus, platform, intuitive

59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: mac, open · Missing: agents, macos, agent

28%28% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

13%13% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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