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Project ideas from Hacker News discussions.

More common mistakes to avoid when creating system architecture diagrams

Original Article

Hacker News Discussion

📝 Discussion Summary (Click to expand)

1️⃣ Diagrams should expose real trade‑offs – “pretty” charts that hide decisions are worse than messy ones.

"The worst ones are diagrams that look clean but hide all the decisions that actually matter. A messy diagram that shows the real tradeoffs is more useful than a pretty one that lies." – ashwinnair99

2️⃣ The value of a diagram depends on a clear purpose, target audience, and appropriate level of abstraction; without this it becomes noisy clutter.

"Diagrams are communication tools, and are best done with a target and goal in mind." – datadrivenangel
"The biggest mistake is not knowing your audience." – icedchai

3️⃣ Ambiguity in visual notation (arrow meaning, naming, legends) leads to misunderstand‑ings; standardized conventions are needed.

"The most common mistake I've seen is not agreeing on what arrows represent: control or data." – orthoxerox
"In high‑level diagrams, which I think is what is being discussed here, I like to think that A --> B means that A “uses” B in some way, and leave it at that." – zabzonk
"The C4 Model insists on using verbs to label interactions." – hotgarbage

🚀 Project Ideas

[Purpose‑Driven Diagram Studio]

Summary- Guides users through an audience‑first questionnaire to set the appropriate level of abstraction. - Automatically generates legends for arrow semantics, naming conventions, and type suffixes.

  • Exports stand‑alone diagrams that can be read by non‑technical stakeholders.

Details| Key | Value |

|-----|-------| | Target Audience | Software engineers, architects, product managers who create system diagrams | | Core Feature | Interactive wizard that produces purpose‑specific diagrams with built‑in legend and semantic validation | | Tech Stack | React front‑end, Node.js/Express backend, Mermaid renderer, PostgreSQL | | Difficulty | Medium | | Monetization | Revenue-ready: Subscription tiered (Free hobby, $15/mo pro) |

Notes

  • Directly addresses the HN complaint that “pretty diagrams hide trade‑offs” by forcing purpose clarity.
  • Users can export a diagram that includes a concise prose caption, making it useful for management reviews.
  • Low barrier to entry for teams already using Mermaid or GraphViz, encouraging adoption.

[Arrow‑Semantics Linter for Architecture Diagrams]

Summary

  • Parses diagram definitions (Mermaid, PlantUML, GraphViz) and enforces explicit arrow semantics (control vs data).
  • Flags ambiguous arrows and suggests verb‑based labels or color‑coding per C4 best practices.
  • Provides quick‑fix suggestions to improve diagram readability for cross‑team communication.

Details

Key Value
Target Audience Engineering leads, system designers, documentation teams working with technical diagrams
Core Feature Semantic linting of arrow meanings, auto‑generated legend, and improvement suggestions
Tech Stack Python CLI, Tree‑sitter parser, Rule‑engine for semantics, Markdown report generator
Difficulty Low
Monetization Revenue-ready: Subscription tiered (Free tier, $10/mo team plan)

Notes

  • Solves the “does A‑(data)->B mean control or data?” ambiguity highlighted in HN discussion. - Enables teams to maintain consistent diagram conventions across repositories without manual policing.
  • Integrates with CI pipelines, turning diagram quality checks into a standard gate.

[Diagram‑to‑Prose Generator with Audience Adaptor]

Summary

  • Takes a diagram (Mermaid/PlantUML source) and produces audience‑tailored prose explanations (executive summary, engineer‑level walkthrough, marketer‑friendly overview).
  • Validates naming conventions and suggests concise, self‑contained captions for diagrams that must stand alone.
  • Outputs ready‑to‑publish markdown that can be embedded in wikis, docs, or presentation decks.

Details

Key Value
Target Audience Documentation writers, product managers, cross‑functional teams needing clear system narratives
Core Feature Automatic prose generation with audience‑aware tone and optional caption for diagram self‑sufficiency
Tech Stack Go microservice, GPT‑4‑style language model (hosted locally), Mermaid parser, JSON schema validator
Difficulty High
Monetization Revenue-ready: Pay‑per‑generation API (e.g., $0.02 per 1k characters)

Notes

  • Tackles the HN observation that “diagrams are best done with a target and goal in mind.”
  • Turns a dense visual into a readable narrative, reducing the need for endless diagram revisions.
  • Enables a single diagram to serve multiple stakeholders without redesigning the graphic.

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