IdeaWell

Project ideas from Hacker News discussions.

Open-source 3D anatomy explorer: 2,234 selectable BodyParts3D meshes

Original Article

Hacker News Discussion

📝 Discussion Summary (Click to expand)

Theme 1: AI‑generated “slop” leads to hallucinations and anatomical errors
- “Developer: Wow, that's awesome, anatomy is now solved. Doctors: I have trouble even starting to describe how not even wrong the slop generated organs are, and how dangerous would it be for someone to learn on this thing.” – tomaskafka
- “You're better off using a pirated copy of Netter's than this imo.” – crispycas12
- “I think that vibe‑coding these kinds of education tools is massively unhelpful. There are some crazy hallucinated claims in here that completely invalidate the purpose of this project.” – RIMR

Theme 2: The demo is technically impressive and fun to interact with
- “On iOS’s preview browser, rotating the object causes the zoom to reset… It’s very cool but close to useless if I can’t control the camera.” – pennomi
- “Seems like some pretty obvious errors in this. But a cool interactive demo.” – lewi
- “I think its amazing to be able to do such vizualizations in 30 minutes or so.” – jackdoe

Theme 3: Lack of educational detail limits usefulness for learning anatomy
- “This is missing a lot of critical features seen in apps like Complete Anatomy… Proximal/Distal Attachments, innervation, arterial supply, actions of skeletal muscles…” – crispycas12
- “I removed the arteries and veins to more easily click the organs, and the liver vanished! It seems to be classified under the vein system…” – marcianx
- “Having the same description for all skeletal muscles is amateurish…” – crispycas12 (referring to missing functional detail)

🚀 Project Ideas

AnatomyOS: Open‑Source Interactive Anatomy Atlas with Structured Ontology

Summary

  • An open‑source web‑based 3D anatomy viewer that integrates BodyParts3D meshes with a curated ontology (FMA, SNOMED CT) to provide accurate hierarchical classification, detailed functional annotations (innervation, arterial supply, muscle actions), and stable camera controls.
  • Core value proposition: Deliver a medically accurate, interactive anatomy atlas that eliminates classification errors and missing functional details while offering a smooth, predictable user experience for students and clinicians.

Details

Key Value
Target Audience Medical students, educators, clinicians, anatomy enthusiasts
Core Feature Interactive 3D model with searchable, layered ontology overlay; click‑to‑show innervation/vascular supply/muscle actions; persistent camera state
Tech Stack Three.js (or Babylon.js) for rendering, React/Vue UI, Node.js/Express backend, PostgreSQL for ontology data, Git‑LFS for model storage
Difficulty Medium
Monetization Hobby

Notes

  • HN users complained about “liver vanished! It seems to be classified under the vein system” and “missing a lot of critical features seen in apps like Complete Anatomy: proximal/distal attachments, innervation, arterial supply, actions”. AnatomyOS directly addresses these by providing correct hierarchy and functional layers.
  • Potential for discussion: open‑source community can contribute corrections; could be integrated into medical school curricula; practical utility as a reference tool for quick lookup and teaching.

ModelFix: Collaborative Anatomy Model Correction Platform

Summary

  • A collaborative platform that lets users submit, review, and merge corrections to open‑source 3D anatomy models (e.g., BodyParts3D) using a diff‑based workflow anchored to standardized anatomical ontologies.
  • Core value proposition: Turn community feedback into reliable model improvements, fixing misclassifications and missing structures without needing central authority.

Details

Key Value
Target Audience Anatomy modelers, developers, educators, open‑source contributors
Core Feature Web UI for uploading model edits (reassigning meshes, adding missing structures) with automated validation against FMA/SNOMED CT and version‑controlled pull requests
Tech Stack Frontend: Svelte/React; Backend: Python/FastAPI; Database: PostgreSQL with PostGIS; Model storage: Git‑LFS; Validation: Ontology APIs (BioPortal)
Difficulty High
Monetization Revenue-ready: SaaS subscription for private teams ($15/user/mo) + free tier for public open‑source projects

Notes

  • Commenters noted “the liver vanished! It seems to be classified under the vein system” and “the flexor retinacula are listed as sensory organs that assist with hearing and sight”, highlighting classification errors that ModelFix would let the crowd correct.
  • Potential for discussion: could spark a new standard for community‑maintained anatomy models; practical utility as a backbone for other anatomy apps relying on accurate base models.

CliniQuest: Clinical Anatomy Learning Suite

Summary

  • An interactive anatomy learning platform that combines a high‑fidelity 3D viewer with clinical case‑based quizzes focused on innervation, arterial supply, muscle actions, and brain region functions, using spaced repetition to reinforce retention.
  • Core value proposition: Bridges the gap between raw 3D models and practical clinical knowledge, giving learners the functional anatomy details that existing demos lack.

Details

Key Value
Target Audience Medical students, residents, nursing programs, continuing medical education
Core Feature Click‑on‑structure triggers context‑specific quiz prompts (e.g., “What nerve innervates this muscle?”) with immediate feedback, progress tracking, and customizable deck creation
Tech Stack Three.js for model, Redux for state, Ruby on Rails/Django backend, Redis for caching, AWS hosting; optional mobile React Native
Difficulty Medium
Monetization Revenue-ready: Subscription tier ($9.99/mo per student) with institutional licenses

Notes

  • HN feedback: “Missing proximal/distal attachments, innervation, arterial supply, actions of skeletal muscles… Additionally the striation of the muscles are poor quality.” CliniQuest supplies the missing functional data and can optionally overlay high‑quality texture maps for striation.
  • Potential for discussion: could be adopted by anatomy labs as a supplemental study tool; practical utility as a ready‑to‑use product that monetizes the demand for better educational anatomy software.

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