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An auto-generated database admin panel for Spring Boot apps

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An auto-generated database admin panel for Spring Boot apps

Hi HN! I'm sharing here my latest project which is a library for Spring Boot apps that exposes a full database admin panel generated automatically based on your JPA annotations. Similar to the Django admin panel, if you're familiar with that. It doesn't require to adapt your existing application's code; it works by including the JAR and performing a couple of configuration steps. I've already developed a considerable amount of features, but I still have to test it thoroughly with different Spring/JPA configurations and this is where it might still break frequently. User feedback would be invaluable on this aspect, but even if you don't try the code I'll gladly accept feedback about the idea or features you'd think might be useful. Cheers!

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user, code · Missing: mac, agents, macos
85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, lua, existing · 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.
TrustMRRLess likely to generate early MRR · Strong signals: apps · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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