IdeaWell

Project ideas from Hacker News discussions.

Abdominal fat predicts heart disease risk better than BMI

Original Article

Hacker News Discussion

📝 Discussion Summary (Click to expand)

1. BMI’s simplicity makes it a useful population‑level screen

“Same for me, no one considers BMI to be a good indicator of anything, but it is better than nothing, and more importantly, it is super simple.” — GuB‑42

2. BMI is inaccurate for individuals; better metrics are needed

“It isn’t accurate. It is a statistical tool meant for easily measuring populations of people. It does not apply in any meaningful way to individuals.” — folkrav

3. The distinction between overweight/obese and “overfat,” emphasizing visceral fat and alternative measures

“Overfat just refers to having too much fat. ‘Overweight’ can mean the same thing for weight, but it also refers to those with a BMI specifically between 25 and 30, and those with BMIs greater than 30 are classified as ‘obese’.” — zdragnar

🚀 Project Ideas

VisceralFat Estimate Dashboard

Summary

  • Simple web app that lets users log waist measurements and automatically estimates visceral fat risk using waist‑to‑height and waist‑circumference algorithms.
  • Provides an easy, low‑cost alternative to expensive DEXA scans for personal health monitoring.

Details

Key Value
Target Audience Health‑conscious individuals, gym goers, and people concerned about hidden abdominal fat
Core Feature Waist‑to‑height calculator with visual risk gauge and trend chart
Tech Stack React front‑end, Node.js API, SQLite DB, optional TensorFlow.js model
Difficulty Medium
Monetization Revenue-ready: freemium SaaS (free tier, $5/mo premium for trend export)

Notes

  • HN commenters repeatedly asked for a cheap way to gauge visceral fat (e.g., “When will we finally get a cheap way to measure visceral fat?”).
  • Could spark practical discussion about integrating with Apple Health and wearables.

Adaptive TDEE Planner

Summary

  • Web service that auto‑updates your daily calorie target based on logged weight and activity, removing the guesswork of static TDEE calculators.
  • Delivers dynamic calorie targets that adapt as your metabolism changes over time.

Details

Key Value
Target Audience Fitness enthusiasts, dieters, and people tracking macros who want accurate calorie guidance
Core Feature Automatic maintenance‑calorie calculation using observed weight changes and optional activity tracking
Tech Stack Next.js front‑end, Python backend, PostgreSQL DB
Difficulty Medium
Monetization Revenue-ready: subscription $4/mo

Notes

  • “I wish there was a tool that just updates my calories when I weigh myself” – common request seen in HN threads.
  • Generates discussion on metabolic adaptation and how to sustain long‑term weight management.

BMI‑2.0 Height‑Scaling Calculator

Summary

  • CLI/desktop app that computes BMI using a user‑selectable exponent (2‑3) and optionally adds waist‑to‑height ratio for better individual assessment.
  • Offers a more accurate height‑adjusted metric for people whose standard BMI feels misleading.

Details

Key Value
Target Audience Researchers, health‑tech hobbyists, and anyone frustrated with the one‑size‑fits‑all BMI approach
Core Feature Adjustable exponent BMI calculation with optional waist and waist‑to‑height ratio integration
Tech Stack Python + Tkinter GUI, optional SQLite for history storage
Difficulty Low
Monetization Hobby

Notes

  • “BMI feels off for me at 6'3\"" – frequent sentiment in HN discussions about tall users.
  • Could generate useful conversation about adopting Trefethen‑style formulas or integrating with wearable data.

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