A symfony bundle to easily create type safe, user-configurable settings

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The default way to configure symfony applications is via static environment variables or configuration files in symfony. These are useful for many applications, however sometimes you want users change these settings for themselves via a WebUI. This is not really possible with symfonys default approach to configuration. To solve this I have created this bundle, which tries to offer an easy way to create user changable and still type-safe and DX friendly settings system. Unlike many other bundles, which have a similar goal, jbtronics/settings-bundle uses classes with metadata annotations to define settings. This way you can utilize all of PHP features to get typesafe settings and use existing tools in IDEs, etc. for refactoring, etc. The bundle tries to be as flexible and extensible as possible, and supports different storage backends and datatypes and allows even for custom implementations of these. It can use symfony/forms and symfony/validator for easy form generation and validation and have a versioning system including migrations, if you want to change the structure of your settings. More information can be found at the Github repo: https://github.com/jbtronics/settings-bundle

Visit product View on Hacker NewsFeb 17, 2024

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, created, including · Missing: reddit linkedin, podcasting, latex

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · Missing: https docs, excited, just released

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: friendly, users · Missing: plus, platform, intuitive

40%40% 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

10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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