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Project ideas from Hacker News discussions.

Show HN: An atlas of system designs with interactive architecture diagrams

Original Article

Hacker News Discussion

📝 Discussion Summary (Click to expand)

Theme 1 – Praise for the interactive, end‑to‑end architecture repository
- “Really nice! It’s also a good reminder that there is always more to discover.” – heurekamala
- “Checked it out and I must say this is really incredible work. Wow!” – asamoahf
- “I kept bouncing between paywalled courses and link dumps … and wanted one place where each design is worked end to end … The architecture diagrams are real React Flow canvases … they pan, zoom and go fullscreen.” – mertkahyaoglu (author)

Theme 2 – Requests for usability improvements (tooltips, definition of acronyms)
- “Tell your agent to spell out abbreviations with tooltips. For example, … it talks about APNs, and FCM without defining them.” – esafak

Theme 3 – Interest in collaboration and sharing visions
- “Hey! This is cool, and actually in the same spirit of my own tool. Not sure if you'd be interested in combining your vision of a repository of architecture models, with my platform (blueprintr.io)? Seems like a match made in heaven :)” – JoshJamesAnthon

🚀 Project Ideas

SysDesign Hub

Summary

  • A collaborative, open-source platform for creating, reviewing, and browsing interactive system‑design architecture diagrams with built‑in abbreviation tooltips and community validation.
  • Core value: replace AI‑generated slop with human‑curated, interview‑grade designs that you can zoom, click, and trust.

Details

Key Value
Target Audience System design interview candidates, engineers, educators
Core Feature Interactive React Flow diagrams with versioned contributions, peer‑review workflow, tooltip glossary
Tech Stack React, TypeScript, React Flow, Node.js/Express, PostgreSQL, GitHub Actions
Difficulty Medium
Monetization Revenue-ready: SaaS subscription for private teams ($9/user/mo) + free public tier

Notes

  • Addresses esafak’s request for tooltip definitions of acronyms like APNs/FCM and mertkahyaoglu’s desire for a place where each design is worked end‑to‑end.
  • Directly counters the “AI slop” criticism by enforcing human review and community corrections.
  • Encourages discussion on maintaining quality in open‑system design resources and invites contributions similar to Wikipedia’s model.

GlossiTip

Summary

  • A lightweight browser extension that detects acronyms/abbreviations on any technical page and shows inline tooltip definitions sourced from a community‑maintained glossary.
  • Core value: eliminates the need to leave the page to look up terms like APNs, FCM, reducing friction while reading system‑design docs.

Details

Key Value
Target Audience Developers, tech readers, students
Core Feature Hover‑tooltips with definitions; ability to add/edit glossary entries; sync across devices
Tech Stack Manifest V3 extension (JavaScript/TypeScript), IndexedDB for local storage, optional Node.js backend for sync, Webpack
Difficulty Low‑Medium
Monetization Hobby (free, optional donations)

Notes

  • Directly fulfills esafak’s suggestion to spell out abbreviations with tooltips on the atlas‑sysdes pages.
  • Responds to HN users’ frustration with having to “squint at a PNG” and missing definitions while studying.
  • Could spark discussion about building a shared, crowdsourced technical glossary useful across many doc sites.

DesignLinter

Summary

  • A linter/CLI tool that scans system‑design documentation (Markdown, MDX, or docsite) for signs of AI‑generated slang, missing explanations, and insufficient diagram interactivity, providing actionable feedback to improve human‑written quality.
  • Core value: helps maintain high‑quality, human‑curated resources by flagging low‑effort AI content and encouraging contributors to write clear, original text.

Details

Key Value
Target Audience Open‑source maintainers, tech writers, interview prep site admins
Core Feature Rule‑based checks (detect repetitive LLM patterns, missing alt‑text for diagrams, undefined acronyms) with suggestions; CI integration
Tech Stack Python (or Node.js), Markdown AST parsing, regex heuristics, optional lightweight ML model for AI‑text detection, GitHub Actions
Difficulty Medium
Monetization Revenue-ready: hosted service with free tier for public repos, paid tier for private repos ($15/mo)

Notes

  • Directly addresses katzenq’s complaint about “generated spam” and mertkahyaoglu’s openness to corrections as the most useful contribution.
  • Provides a concrete way for the community to enforce human‑written, high‑quality content, reducing the prevalence of AI slop noted in the thread.
  • Invites discussion on defining quality metrics for system‑design material and could be adopted by existing resources like atlas‑sysdes or hellointerview.com.

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