Project ideas from Hacker News discussions.

Show HN: Bodily Oddities

📝 Discussion Summary (Click to expand)

1. Personal bodily sensations are widely shared and vary greatly
Many commenters describe feeling physical sensations when observing others’ actions or experiencing mundane stimuli:
- “When I see someone else jump or fall from a height, I sense the fall in the bottoms of my feet and my lower legs.” – treetalker
- “I experience the falling feeling in my legs and feet as well.” – quickthrowman
- Discussions of brain‑freeze prevalence: “Only 30‑40% of people encounter brain freeze?” – yzydserd; “I’m in the 60‑70% here—I’ve never gotten it…” – ksymph

2. AI‑assisted (“vibe‑coded”) creation sparks both excitement and criticism
The site’s AI origins provoke debate about what LLMs enable versus what they degrade:
- “LLMs have enabled us to build cool side projects to completion and give them love.” – echelon
- “The fact that people who couldn't program can now build utilities and automations for themselves is beyond remarkable.” – echelon
- Pushback: “People were already building cool side projects… before AI.” – krapp; “Fascinating, but sadly LLM‑assisted writing.” – tripdout; concerns about “Claude‑isms” and over‑reliance on AI styling. – bonsai_spool

3. Questions about source reliability and content quality
Several users worry that the site leans too heavily on superficial sources (often just Wikipedia) and contains avoidable errors:
- “This AI website has very weak sources for many pages… Wikipedia is never to be your primary citation.” – VCFundedGenYer
- “I wonder about these sites that appear to be vibe coded from a simple prompt. Has the author even looked at the data…?” – IncreasePosts
- Specific complaints: odd image choices, mis‑linked Wikipedia entries (e.g., Mark Wahlberg page for supernumerary nipples) – khazhoux, ksymph (“a handful obviously wrong images makes the rest feel less trustworthy”).


🚀 Project Ideas

OddityHub

Summary

  • A community‑curated wiki/database where users submit bodily oddities, vote on how common they are, and attach verifiable sources.
  • Core value: Provides a reliable, human‑maintained resource to discover prevalence and explanations for unusual bodily sensations.

Details

Key Value
Target Audience Curious individuals, hobbyists, medical students, anyone interested in personal physiology
Core Feature Submission system with moderation, prevalence polls, source verification, and discussion threads
Tech Stack Next.js (React), Tailwind CSS, Supabase (Postgres + auth), Vercel
Difficulty Medium
Monetization Hobby

Notes

  • HN users treetalker and vesterde expressed surprise at which feelings are universal, showing demand for a shared knowledge base.
  • Commenters lament AI slop and crave manual curation; OddityHub gives them a platform to contribute and verify content, sparking further discussion on prevalence.

SenseLog

Summary

  • A private journaling app (web/mobile) for logging when bodily oddities occur, noting triggers, severity, and context.
  • Core value: Enables users to uncover personal patterns, correlate sensations with lifestyle factors, and optionally contribute anonymized data to research.

Details

Key Value
Target Audience People who experience frequent or puzzling bodily sensations (e.g., brain freeze, hiccups, geometric nightmares) and seek self‑knowledge
Core Feature Timestamped entries with custom tags, trigger checklists, analytics dashboard, and export options
Tech Stack React Native (or Flutter) mobile app, Firebase/Firestore backend (or PWA with IndexedDB)
Difficulty Medium
Monetization Hobby

Notes

  • Users like quickthrowman and yzydserd described experiencing falling sensations and questioned brain‑freeze prevalence, indicating a need for personal tracking.
  • Aggregated, anonymized logs could fuel HN debates about how common certain oddities really are, increasing practical utility.

OddityVerify

Summary

  • An AI‑assisted fact‑checking tool that suggests reputable sources, flags unsupported claims, and helps maintain quality for community‑generated oddity content.
  • Core value: Reduces AI slop and ensures citations are trustworthy, addressing concerns about low‑quality auto‑generated sites.

Details

Key Value
Target Audience Contributors to oddity wikis, bloggers, educators, moderators needing to verify claims
Core Feature Real‑time suggestion engine: scans draft text, matches against medical databases (PubMed, Wikipedia with citations), proposes sources, highlights unverified statements
Tech Stack Python backend (FastAPI) with HuggingFace/PubBERT models, React frontend, deployed on Vercel/Docker
Difficulty High
Monetization Hobby

Notes

  • Commenters bogwog and minimaxir criticized the site for lazy AI slop and called for better sourcing; OddityVerify directly tackles that pain point.
  • By providing reliable verification, the tool could elevate community trust and stimulate HN discussions about maintaining high‑quality, human‑curated knowledge bases.

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