Project ideas from Hacker News discussions.

15 years later, Microsoft morged my diagram

📝 Discussion Summary (Click to expand)

1. AI‑generated “morged” content is a new form of plagiarism
- “Morged” is a word the LLM that ripped off the article author’s diagram hallucinated. – ChristianJacobs
- “The diagram was both well‑known enough and obviously AI‑slop‑y enough that it was easy to spot as plagiarism.” – alex_suzuki
- “It was a careless copy‑paste of someone else’s work.” – AshleysBrain

2. Microsoft’s documentation process is broken and sloppy
- “It took ~5 months for anyone to notice and fix something that is obviously wrong at a glance.” – aftergibson
- “Everyone is running at a velocity where quality, craft and care are optional luxuries.” – aftergibson
- “The model makers attempt to add guardrails to prevent this but it's not perfect.” – rzmmm

3. AI‑slop is spreading beyond Microsoft, harming overall content quality
- “Everyone is running at a velocity where quality, craft and care are optional luxuries.” – aftergibson (re‑used)
- “The flood of ‘plastic’ incarnations of everything is abominable.” – blibble
- “AI slop is everywhere – LinkedIn, blogs, tutorials.” – cwal37

4. The debate over attribution, responsibility, and legal risk
- “If it wasn't before, it will be now.” – nvader (implying future legal exposure)
- “Mass copyright infringement is prosecuted if you're Aaron Schwartz but legal if you're an AI megacorp.” – pjc50
- “The author is lucky to have such an obvious association.” – mns (highlighting the need for credit)

These four threads—AI‑generated plagiarism, Microsoft’s lax QA, the wider spread of AI slop, and the legal/ethical fallout—dominate the discussion.


🚀 Project Ideas

Morged Detector

Summary

  • Detects when AI‑generated text, code, or images are “morged” copies of existing copyrighted material.
  • Provides a similarity score, source links, and a rewrite suggestion to avoid plagiarism.

Details

Key Value
Target Audience Technical writers, documentation teams, open‑source maintainers
Core Feature Automated plagiarism & provenance analysis for AI output
Tech Stack Python, OpenAI API, DiffMatchPatch, Whoosh for indexing, Flask
Difficulty Medium
Monetization Revenue‑ready: $49/month per team

Notes

  • HN commenters like “Morged” and “morgery” are frustrated by AI slop; this tool gives them a concrete way to catch it.
  • Useful for Microsoft Learn, GitHub Docs, and any company that publishes AI‑generated docs.

DocGuard

Summary

  • A continuous‑integration service that reviews documentation for accuracy, consistency, and plagiarism before publishing.
  • Integrates with GitHub Actions and LLMs to auto‑suggest fixes and citations.

Details

Key Value
Target Audience Documentation engineers, technical writers, product teams
Core Feature Automated QA pipeline for docs (text, code snippets, diagrams)
Tech Stack Node.js, GitHub Actions, OpenAI API, Mermaid, Jest
Difficulty Medium
Monetization Revenue‑ready: $99/month per repo

Notes

  • Addresses the “sloppy Microsoft docs” pain point; commenters say “everything is shipped without review.”
  • Enables teams to catch “continvoucly morged” diagrams before they go live.

CodeLicenseGuard

Summary

  • Scans AI‑generated code for potential license violations (GPL, MIT, etc.) and flags unsafe snippets.
  • Provides a compliance report and safe‑rewrite suggestions.

Details

Key Value
Target Audience Open‑source maintainers, enterprise developers
Core Feature License‑compliance analysis of AI‑generated code
Tech Stack Go, GitHub API, SPDX library, GPT‑4 for context
Difficulty Medium
Monetization Revenue‑ready: $29/month per user

Notes

  • HNers complain about “copy‑pasting GPL code into proprietary projects.”
  • Helps avoid legal headaches and keeps repos clean.

DiagramIntegrity

Summary

  • Validates AI‑generated diagrams (Mermaid, PlantUML, PNG) for correctness, consistency, and plagiarism.
  • Auto‑corrects common errors (mis‑aligned arrows, wrong labels) and suggests source attribution.

Details

Key Value
Target Audience Technical illustrators, documentation teams
Core Feature Diagram quality & provenance checker
Tech Stack Rust, SVG parsing, OpenAI API, GraphViz
Difficulty Medium
Monetization Revenue‑ready: $19/month per team

Notes

  • Responds to the “morged diagram” frustration; commenters note “broken arrows, wrong axis.”
  • Useful for Microsoft Learn, Atlassian docs, and any AI‑generated visual content.

SourceTrail

Summary

  • An API that, when generating content via an LLM, automatically inserts citations, attribution, and a source trail.
  • Ensures compliance with copyright and improves content credibility.

Details

Key Value
Target Audience Content creators, AI‑powered platforms, publishers
Core Feature Automatic citation insertion and provenance tracking
Tech Stack Python, FastAPI, OpenAI API, Wikidata, JSON‑LD
Difficulty Medium
Monetization Revenue‑ready: $59/month per API key

Notes

  • HNers want “AI to give me the source” and “no more slop.”
  • Helps platforms like LinkedIn, Medium, and corporate docs avoid “AI slop” and plagiarism.

Read Later