Organize Your Blood Tests into a Beautiful Health Dashboard

Hacker News

I've been really into tracking my biomarkers lately. However, I've found it a pain to deal with blood test reports from different healthcare providers, each with their own unique format. So I built a solution - a web app that automatically extracts biomarkers from any blood test report and organizes them into a beautiful health dashboard, complete with trend graphs. No more manual data entry into spreadsheets! Check it out: https://www.biotracker.me It's a free web app that: * Automatically extracts biomarkers from any blood test report (PDF or image) * Creates visual trends of your health metrics over time * Provides basic medical information about the extracted biomarkers You can try it yourself or check out the demo dashboard on the website to see how it works. I’d love to hear your thoughts and ideas on how I can market it.

Visit product View on Hacker NewsDec 23, 2024

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

74%74% 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.

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

49%49% 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: ide, io · Missing: https docs, excited, just released

49%49% 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

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

33%33% predicted probability of success on TrustMRR, 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

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

Incorrect prediction on native model

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