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Java REST without annotations, DI nor reactive streams

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Java REST without annotations, DI nor reactive streams

grumpyrest is a Java REST server framework that does not use annotations, automatic dependency injection or reactive streams, and minimizes the use of reflection. I created this because I got fed up with annotation-mad frameworks that you cannot easily understand, step into or reason about. grumpyrest uses the type system to guide JSON mapping and validation, and (possibly virtual) threads for parallelism. It's for grumpy people who don't like what REST server programming in Java has become. I made this because I intend to use it in one of my own projects, but at the same time I want to make it available to others to (hopefully) get some good ideas on how to extend it.

Visit productView on Hacker NewsJun 11, 2023
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, para · Missing: supports, reddit linkedin, podcasting
87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
49%49% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal
33%33% 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
26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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