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Minum – A minimal Java web framework

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Minum – A minimal Java web framework

I am happy to announce my minimalist zero-dependency web framework, Minum, is out of beta. http://github.com/byronka/minum You will be hard-pressed to find another modern project as obsessively minimalistic. Other frameworks will claim simplicity and minimalism and then, casually, mention they are built on a multitude of libraries. This follows self-imposed constraints, predicated on a belief that smaller and lighter is long-term better. Caveat emptor: This is a project by and for developers who know and like programming (rather than, let us say, configuring). It is written in Java, and presumes familiarity with the HTTP/HTML paradigm. Driving paradigms of this project: * ease of use * maintainability / sustainability * simplicity * performance * good documentation * good testing It requires Java 21, for its virtual threads (Project Loom)

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Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
75%75% 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
69%69% 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: para · Missing: mobile apps, ios, personal
43%43% 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
41%41% 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
17%17% 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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