ER

ERdia, an automated TypeORM entity documentation and ERD generator

Hacker News

ERdia, an automated TypeORM entity documentation and ERD generator

ERdia is a tool to automate entity documentation and ERD generation when using TypeORM. In many cases, entity documentation and ERD generation is required at the beginning or end of a project. ERdia has the advantage of simultaneously documenting entities and generating ERDs. It also allows you to view multiple versions of an HTML document at once, and shows you the previous versions and differences in the document. This is useful when collaborating. Visit github( https://github.com/imjuni/erdia ), dev.to( https://dev.to/imjuni/erdia-typeorm-entity-specification-doc... ) to see real examples, showcases, and more.

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
53%53% 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
45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: using · Missing: mac, agents, macos
42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
36%36% 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
14%14% 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
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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