I built an offline-first, privacy-focused Blood Pressure tracker

Hacker News

Hi HN, I built a Blood Pressure tracker because I was tired of the existing apps requiring cloud accounts, subscriptions, or selling health data to advertisers. BP Tracker Pro is a "Class I Data Logger" built with Capacitor and Vanilla JS. It runs 100% offline on your device. Key Features: - Gorgeous panel to visually track your blood pressure readings - Zero Cloud Sync: Data lives in a local JSON store (encrypted at rest by Android OS). You can bacjup - PDF Reports: Generates clinical reports for doctors using jsPDF (client-side). - Morning Surge Detection: Analyzes AM vs PM readings to flag stroke risks. - Family Mode: Track multiple profiles (e.g., aging parents) from one dashboard. Tech Stack: - Vanilla JS + Vite (No React/Vue overhead) - Capacitor v8 (Bridge to Native) - Chart.js for trends https://play.google.com/store/apps/details?id=com.bloodpress...

Visit product View on Hacker NewsFeb 26, 2026

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

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: google, apps, visual · Missing: mac, agents, macos

33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

26%26% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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