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Mongoviz – Generate ERD Diagrams from Mongoose Schemas

Hacker News

Mongoviz – Generate ERD Diagrams from Mongoose Schemas

Hi HN, I’m excited to share a tool I recently built called Mongoviz. It's a node.js utility designed to automatically generate Entity-Relationship Diagrams (ERDs) from Mongoose models. If you use Mongoose for handling MongoDB in your Node.js applications, you might find this tool particularly useful for visualizing your database schemas. Why Mongoviz? When working with complex Mongoose schemas, it can be challenging to keep track of how collections are related, especially as projects grow and more developers get involved. Visual diagrams are an excellent way to ensure everyone on the team understands the database structure at a glance. I built Mongoviz because I couldn't find a simple tool that fits directly into the Node.js/Mongoose ecosystem without needing extensive configuration or external services.

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Hacker NewsStrong engagement from HN community · Strong signals: excited, io · Missing: https docs, just released, exist
70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, visual · Missing: mac, agents, macos
60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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